Publications

他の業績リスト： Google Scholar、 ResearchGate

学術論文 (査読あり)

  1. Takami, K., Majumdar, R., & Flanagan, B. (2026). When Even Experts Disagree: Human-in-the-Loop Evaluation of LLM-Generated Hypotheses for Learning Analytics. IEEE Access.
  2. Švábenský, V., Flanagan, B., López Z., E.D., & Shimada, A. (2026). Open Datasets in Learning Analytics: Trends, Challenges, and Best PRACTICE. Transactions on Knowledge Discovery from Data. https://doi.org/10.1145/3798096
  3. Yamauchi, T., Hoppe, H.U., Dai, Y., Flanagan, B., & Ogata, H. (2026). Representing Learning Progression through Activity Monitoring with a Focus on “Learning from Failure“. Research and Practice in Technology Enhanced Learning.
  4. Woollaston, S., Flanagan, B., Ocheja, P., Dai, Y., & Ogata, H. (2026). TAMMY: Usability and Effectiveness of a Translation Practice Chatbot for Japanese EFL Learners. Research and Practice in Technology Enhanced Learning.
  5. Dai, Y., Flanagan, B., & Ogata, H. (2026). What’s More Important When Developing Math Recommender Systems: Accuracy, Explainability, or Both?. Research and Practice in Technology Enhanced Learning 21(4), 1-27.
  6. Yamauchi, T., Nakamoto, R., Flanagan, B., Dai, Y., Wijerathne, I., & Ogata, H. (2025). Augmentation of Learning Content With Knowledge Components: Automatic Unit Labeling for Various Forms of Japanese Math Materials. IEEE Transactions on Learning Technologies 18, 716-731. https://doi.org/10.1109/TLT.2025.3584038
  7. Nakamoto, R., Flanagan, B., Dai, Y., Takami, K., & Ogata, H. (2025). Examining Motivational Factors Influencing Self-Explanation Quality and Mathematics Achievement in Online Learning for Junior High Students. Interactive Learning Environments, 1-20. https://doi.org/10.1080/10494820.2025.2484659
  8. Dai, Y., Hoppe, H.U., Flanagan, B., Takami, K., & Ogata, H. (2024). Do Personal Recommendations Need to Be Personalized? Investigating the Relationships Between Student Differences and Educational Recommendations. Smart Learning Environments 11(61), 1-21. https://doi.org/10.1186/s40561-024-00349-y
  9. Prestridge, S., Tan, S.C., Jacobsen, M., Hoppe, U., Angeli, C., Milrad, M., Khaddage, F., Pangeni, S.K., Kovatcheva, E., Milrad, M., Kafyulilo, A., & Flanagan, B. (2024). Disconnected connections of learning beyond formal schooling through human-computer-human interactions. Technology, Knowledge and Learning 29(4), 1791-1807. https://doi.org/10.1007/s10758-024-09779-6
  10. Takii, K., Flanagan, B., Li, H., Yang, Y., Koike, K., & Ogata, H. (2024). Explainable eBook Recommendation for Extensive Reading in K-12 EFL Learning. Research and Practice in Technology Enhanced Learning 20(27), 1-27. https://doi.org/10.58459/rptel.2025.20027
  11. Nakamoto, R., Flanagan, B., Dai, Y., Yamauchi, T., Takami, K., & Ogata, H. (2025). Integrating self-explanation and operational data for impasse detection in mathematical learning. Research and Practice in Technology Enhanced Learning 20(19), 1-19. https://doi.org/10.58459/rptel.2025.20019
  12. Ogata, H., Liang, C., Toyokawa, Y., Hsu, C., Nakamura, K., Yamauchi, T., Flanagan, B., Dai, Y., Takami, K., Horikoshi, I., & Majumdar, R. (2024). Co-designing Data-driven Educational Technology and Practice Reflections from the Japanese Context. Technology, Knowledge and Learning 29(4), 1711-1732. https://doi.org/10.1007/s10758-024-09759-w
  13. Takami, K., Flanagan, B., Dai, Y., & Ogata, H. (2024). Evaluating the Effectiveness of Bayesian Knowledge Tracing Model Based Explainable Recommender. International Journal of Distance Education Technologies (IJDET) 22(1), 1-23. https://doi.org/10.4018/IJDET.337600
  14. Flanagan, B., Tian, Z., Yamauchi, T., Dai, Y., & Ogata, H. (2024). A Human-in-the-loop System for Labeling Knowledge Components in Japanese Mathematics Exercises. Research and Practice in Technology Enhanced Learning 19(28), 1-25. https://doi.org/10.58459/rptel.2024.19028
  15. Dai, Y., Takami, K., Flanagan, B., & Ogata, H. (2024). Beyond Recommendation Acceptance: Explanation’s Learning Effects in a Math Recommender System. Research and Practice in Technology Enhanced Learning 19(20), 1-21. https://doi.org/10.58459/rptel.2024.19020
  16. Ogata, H., Flanagan, B., Takami, K., Dai, Y., Nakamoto, R., & Takii, K. (2024). EXAIT: Educational eXplainable Artificial Intelligent Tools for Personalized Learning. Research and Practice in Technology Enhanced Learning 19(19), 1-30. https://doi.org/10.58459/rptel.2024.19019(Corresponding author: Flanagan, B.)
  17. Nakamoto, R., Flanagan, B., Dai, Y., Takami, K., & Ogata, H. (2024). Unsupervised Techniques for Generating a Standard Sample Self-Explanation Answer with Knowledge Components in a Math Quiz. Research and Practice in Technology Enhanced Learning 19(16), 1-25. https://doi.org/10.58459/rptel.2024.19016
  18. Takami, K., Flanagan, B., Dai, Y., & Ogata, H. (2023). Personality-Based Tailored Explainable Recommendation for Trustworthy Smart Learning System in the Age of Artificial Intelligence. Smart Learning Environments 10(6), 1-19. https://doi.org/10.1186/s40561-023-00282-6
  19. Nakamoto, R., Flanagan, B., Yilling, D., Yamauchi, T., Takami, K., & Ogata, H. (2023). Enhancing Self-Explanation Learning through a Real-Time Feedback. Sustainability 15(21), 1-22. https://doi.org/10.3390/su152115577(SSCI, IF=3.9)
  20. Nakamoto, R., Flanagan, B., Yamauchi, T., Yilling, D., Takami, K., & Ogata, H. (2023). Enhancing Automated Scoring of Math Self-Explanation Quality using LLM-Generated Datasets: A Semi-Supervised Approach. Computers 12(11), 1-18. https://doi.org/10.3390/computers12110217
  21. Yamauchi, T., Flanagan, B., Nakamoto, R., Dai, Y., Takami, K., & Ogata, H. (2023). Automated Labeling of PDF Mathematical Exercises with Word N-grams VSM Classification. Smart Learning Environments 10(51), 1-30. https://doi.org/10.1186/s40561-023-00271-9(Corresponding author: Flanagan, B.)
  22. Ogata, H., Majumdar, R., & Flanagan, B. (2023). Learning and Evidence Analytics Framework Bridges Research and Practice for Educational Data Science. Commun. ACM 66(7), 72–74. https://doi.org/10.1145/3589660
  23. Liang, C., Horikoshi, I., Flanagan, B., Majumdar, R., & Ogata, H. (2023). Towards predictable process and consequence attributes of data-driven group work: primary analysis for assisting teachers with automatic group formation. Educational Technology and Society 26(4), 90-103. https://doi.org/10.30191/ETS.202310_26(4).0006(SSCI, IF=4.0)
  24. Ogata, H., Majumdar, R., & Flanagan, B. (2023). Learning in the Digital Age: Power of Shared Learning Logs to Support Sustainable Educational Practices. IEICE Transactions on Information and Systems E106-D(2), 101-109. https://doi.org/10.1587/transinf.2022ETI0002(SCIE, IF=0.7)
  25. Yang, A.C., Flanagan, B., & Ogata, H. (2022). Adaptive formative assessment system based on computerized adaptive testing and the learning memory cycle for personalized learning. Computers and Education: Artificial Intelligence 3(100104), 1. https://doi.org/10.1016/j.caeai.2022.100104
  26. Ocheja, P., Agbo, F.J., Oyelere, S.S., Flanagan, B., & Ogata, H. (2022). Blockchain in Education: A Systematic Review and Practical Case Studies. IEEE Access 10, 99525-99540. https://doi.org/10.1109/ACCESS.2022.3206791(SCIE, IF=3.476)
  27. Liang, C., Majumdar, R., Nakamizo, Y., Flanagan, B., & Ogata, H. (2022). Algorithmic group formation and group work evaluation in a learning analytics-enhanced environment: implementation study in a Japanese junior high school. Interactive Learning Environments 32(4), 1476–-1499. https://doi.org/10.1080/10494820.2022.2121730(SSCI, IF=4.965)
  28. Yang, Y., Majumdar, R., Li, H., Flanagan, B., & Ogata, H. (2022). Design of a learning dashboard to enhance reading outcomes and self-directed learning behaviors in out-of-class extensive reading. Interactive Learning Environments 32(3), 892–-909. https://doi.org/10.1080/10494820.2022.2101126(SSCI, IF=4.965)
  29. Flanagan, B., Majumdar, R., & Ogata, H. (2022). Early-warning Prediction of Student Performance and Engagement in Open Book Assessment by Reading Behavior Analysis. International Journal of Educational Technology in Higher Education 19(41), 1-23. https://doi.org/10.1186/s41239-022-00348-4(SSCI, IF=7.611)
  30. Yang, A.C., Chen, I.Y., Flanagan, B., & Ogata, H. (2022). How students’ self-assessment behavior affects their online learning performance. Computers and Education: Artificial Intelligence 3(100058), 1-8. https://doi.org/10.1016/j.caeai.2022.100058
  31. Flanagan, B., Majumdar, R., & Ogata, H. (2022). Fine Grain Synthetic Educational Data: Challenges and Limitations of Collaborative Learning Analytics. IEEE Access 10, 26230-26241. https://doi.org/10.1109/ACCESS.2022.3156073(SCIE, IF=3.476)
  32. Ogata, H., Majumdar, R., Flanagan, B., & Kuromiya, H. (2022). Learning Analytics and Evidence-based K12 Education in Japan: Usage of Data-driven Services for Mobile Learning Across Two Years. International Journal of Mobile Learning and Organisation 18(1), 15-48. https://doi.org/10.1504/IJMLO.2024.135123
  33. Ocheja, P., Flanagan, B., Ogata, H., & Oyelere, S. (2022). Visualization of Education Blockchain Data: Trends and Challenges. Interactive Learning Environments 31(9), 5970–5994. https://doi.org/10.1080/10494820.2022.2026406(SSCI, IF=3.928)
  34. Yang, Y., Majumdar, R., Li, H., Akçapinar, G., Flanagan, B., & Ogata, H. (2021). A framework to foster analysis skill for self-directed activities in data-rich environment. Research and Practice in Technology Enhanced Learning 16(1), 1-17. https://doi.org/10.1186/s41039-021-00170-y
  35. Majumdar, R., Bakilapadavu, G., Majumder, R., Chen, M.A., Flanagan, B., & Ogata, H. (2021). Learning analytics of humanities course: reader profiles in critical reading activity. Research and Practice in Technology Enhanced Learning 16(1), 1-18. https://doi.org/10.1186/s41039-021-00164-w
  36. Majumdar, R., Flanagan, B., & Ogata, H. (2021). E-book technology facilitating university education during COVID-19: Japanese experience. Canadian Journal of Learning and Technology 47(4), 1-28. https://doi.org/10.21432/cjlt28038
  37. Yang, A.C., Chen, I.Y., Flanagan, B., & Ogata, H. (2021). Automatic Generation of Cloze Items for Repeated Testing to Improve Reading Comprehension. Educational Technology & Society 24(3), 147-158. (SSCI, IF=3.522)
  38. Abou-Khalil, V., Helou, S., Chen, M.A., Flanagan, B., Lecailliez, L., Pinkwart, N., & Ogata, H. (2021). Vocabulary recommendation approach for forced migrants using informal language learning tools. Universal Access in the Information Society 21, 983–-994. https://doi.org/10.1007/s10209-021-00813-3(SSCI, IF=3.078)
  39. Yang, C.C., Chen, I.Y., Akçapınar, G., Flanagan, B., & Ogata, H. (2021). Using a Summarized Lecture Material Recommendation System to Enhance Students’ Preclass Preparation in a Flipped Classroom. Educational Technology & Society 24(2), 1-13. (SSCI, IF=3.522)
  40. Yang, A.C., Chen, I.Y., Flanagan, B., & Ogata, H. (2021). From Human Grading to Machine Grading: Automatic Diagnosis of e-Book Text Marking Skills in Precision Education. Educational Technology & Society 24(1), 164-175. (SSCI, IF=3.522)
  41. Abou-Khalil, V., Helou, S., Flanagan, B., Chen, M.A., & Ogata, H. (2019). Learning isolated polysemous words: identifying the intended meaning of language learners in informal ubiquitous language learning environments. Smart Learning Environments 6(13), 1-18. https://doi.org/10.1186/s40561-019-0095-0
  42. Abou-Khalil, V., Helou, S., Flanagan, B., Pinkwart, N., & Ogata, H. (2019). Language learning tool for refugees: Identifying the language learning needs of Syrian refugees through participatory design. Languages 4(3), 1-17. https://doi.org/10.3390/languages4030071
  43. Akçapınar, G., Hasnine, M.N., Majumdar, R., Flanagan, B., & Ogata, H. (2019). Developing an early-warning system for spotting at-risk students by using eBook interaction logs. Smart Learning Environments 6(4), 1-15. https://doi.org/10.1186/s40561-019-0083-4
  44. Ocheja, P., Flanagan, B., Ueda, H., & Ogata, H. (2019). Managing lifelong learning records through blockchain. Research and Practice in Technology Enhanced Learning 14(4), 1-19. https://doi.org/10.1186/s41039-019-0097-0
  45. Yang, C., Flanagan, B., Akcapinar, G., & Ogata, H. (2018). Maintaining reading experience continuity across e-book revisions. Research and practice in technology enhanced learning 13(24), 1-16. https://doi.org/10.1186/s41039-018-0093-9
  46. Li, H., Flanagan, B., Konomi, S., & Ogata, H. (2018). Measuring behaviors and identifying indicators of self-regulation in computer-assisted language learning courses. Research and Practice in Technology Enhanced Learning 13(19), 1-12. https://doi.org/10.1186/s41039-018-0087-7
  47. Flanagan, B., & Ogata, H. (2018). Learning analytics platform in higher education in Japan. Knowledge Management & E-Learning: An International Journal 10(4), 469-484. https://doi.org/10.34105/j.kmel.2018.10.029(ESCI)
  48. Abou-Khalil, V., Ishida, T., Otani, M., Flanagan, B., Ogata, H., & Lin, D. (2018). Learning culturally situated dialogue strategies to support language learners. Research and Practice in Technology Enhanced Learning 13(10), 1-20. https://doi.org/10.1186/s41039-018-0076-x
  49. Flanagan, B., & Hirokawa, S. (2018). An automatic method to extract online foreign language learner writing error characteristics. International Journal of Distance Education Technologies (IJDET) 16(4), 15-30. https://doi.org/10.4018/IJDET.2018100102(ESCI)
  50. Zeng, J., Li, F., Flanagan, B., & Hirokawa, S. (2017). LTDE: A layout tree based approach for deep page data extraction. IEICE Transactions on Information and Systems E100-D(5), 1067-1078. https://doi.org/10.1587/transinf.2016edp7375
  51. Flanagan, B., & Hirokawa, S. (2015). The relationship of English foreign language learner proficiency and an entropy based measure. Information Engineering Express 1(3), 29-38. https://doi.org/10.52731/iee.v1.i3.44
  52. Yamashita, T., Wakata, Y., Hamai, S., Nakashima, Y., Iwamoto, Y., Flanagan, B., Nakashima, N., & Hirokawa, S. (2015). Presumption Model for Postoperative Hospital Days from Operation Records. International Journal of Computer & Information Science 16, 50-59.
  53. Zeng, J., Flanagan, B., Hirokawa, S., & Ito, E. (2014). A web page segmentation approach using visual semantics. IEICE Transactions on Information and Systems 97(2), 223-230. https://doi.org/10.1587/transinf.e97.d.223
  54. Yamashita, T., Wakata, Y., Hamai, S., Nakashima, Y., Iwamoto, Y., Flanagan, B., Nakashima, N., & Hirokawa, S. (2014). Extraction of Key Factors from Operation Records by Support Vector Machine and Feature Selection. Indian Journal of Medical Informatics 8(2), 70-71.
  55. Flanagan, B., Yin, C., Suzuki, T., & Hirokawa, S. (2014). Classification of English language learner writing errors using a parallel corpus with SVM. International Journal of Knowledge and Web Intelligence 5(1), 21-35. https://doi.org/10.1504/IJKWI.2014.065063
  56. Flanagan, B., Yin, C., Inokuchi, Y., & Hirokawa, S. (2013). Supporting interpersonal communication using mind maps. The Journal of Information and Systems in Education 12(1), 13-18. https://doi.org/10.12937/ejsise.12.13
  57. Flanagan, B., Yin, C., Hirokawa, S., Hashimoto, K., & Tabata, Y. (2013). An automated method to generate e-learning quizzes from online language learner writing. International Journal of Distance Education Technologies (IJDET) 11(4), 63-80. https://doi.org/10.4018/ijdet.2013100105(ESCI)
  58. Yin, C., Sung, H.Y., Hwang, G.J., Hirokawa, S., Chu, H.C., Flanagan, B., & Tabata, Y. (2013). Learning by Searching: A Learning Environment that Provides Searching and Analysis Facilities for Supporting Trend Analysis Activities. Journal of Educational Technology & Society 16(3), 286-300. (SSCI)
  59. Flanagan, B., Suzuki, T., Zeng, J., Yin, C., Sakai, T., Hashimoto, K., & Hirokawa, S. (2013). Peer knowledge assisted search using community search logs. International Journal of Digital Information and Wireless Communications (IJDIWC) 3(2), 1-8.
  60. Zeng, J., Flanagan, B., & Hirokawa, S. (2013). Extraction of Informative Blocks from Deep Web Page Using Similar Layout Feature. International Journal of Advancements in Computing Technology 5(9), 316-324.

国際会議論文 (査読あり)

2026, 2025, 2024, 2023, 2022, 2021, 2020, 2019, 2018, 2017, 2016, 2015, 2014, 2013, 2012

    2026

  1. Yamauchi, T., Flanagan, B., & Ogata, H. (2026). Time and Trade-offs: A Preliminary Study of LLM Latency in Math Automatic Question Generation. AIED HAI-Agency Workshop.
  2. Woollaston, S., Flanagan, B., & Ogata, H. (2026). Agentic AI and Pedagogical Best Practice: The Tension Between Automation and Learning. AIED HAI-Agency Workshop.
  3. Woollaston, S., Flanagan, B., & Ogata, H. (2026). Chatbot Personalisation and Transparency for EFL Learning. AIED DC.
  4. Dai, Y., Ma, B., Li, H., Ocheja, P., Seo, K., & Flanagan, B. (2026). HAI-Agency: Workshop on Orchestrating Human and AI Agency for Proactive and Reflective Learning. AIED.
  5. Wong, K., Toyokawa, Y., Flanagan, B., & Ogata, H. (2026). Image vs. Textual Feedback in AI-Assisted Writing: Perception and Revision Effects. International Conference on Learning Evidence and Analytics (ICLEA).
  6. Wijerathne, I., Hsu, C., Woollaston, S., Flanagan, B., & Ogata, H. (2026). Orchestrated Pedagogical Agents for Efficient Language Learning: An MCP-Enabled Meta-Agent Framework. International Conference on Learning Evidence and Analytics (ICLEA). (Nominated for Best Paper Award)
  7. Woollaston, S., Flanagan, B., Toyokawa, Y., & Ogata, H. (2026). Penny for Your Thoughts: EFL Learner Perceptions of GenAI Writing Support. International Conference on Learning Evidence and Analytics (ICLEA).
  8. Seto, T., Flanagan, B., Dai, Y., Okamoto, M., & Ogata, H. (2026). Automated Classification of Bloom’s Taxonomy Levels for Japan’s Information Technology Engineers Examinations. International Conference on Learning Evidence and Analytics (ICLEA).
  9. Woollaston, S., Flanagan, B., Ocheja, P., Dai, Y., & Ogata, H. (2026). TAMMY: Usability and effectiveness of a translation practice chatbot for Japanese EFL learners. TNA Workshop. (Accepted)
  10. Nakamoto, R., Flanagan, B., Nakamura, K., & Ogata, H. (2026). Explain-from-Stroke: Capturing Invisible Learning Processes Through Handwriting Dynamics Analysis. Proceedings of the AAAI Conference on Artificial Intelligence, pp. 40857-40862.

    11. 2025

  11. Woollaston, S., Flanagan, B., & Ogata, H. (2025). Chatbot Personalisation for EFL Learning:‬ ‭ Integrating BKT and Task Context‬. 33th International Conference on Computers in Education Conference Proceedings.
  12. Wijerathne, I., Flanagan, B., & Ogata, H. (2025). Quantifying the Benefits of the Reread- Before-Answer Strategy in Japanese High- School EFL. 33th International Conference on Computers in Education Conference Proceedings. (Nominated for Best Full Paper Award)
  13. Yamauchi, T., Flanagan, B., & Ogata, H. (2025). LLM-enhanced Math Text Extracting and Keyword-based Hierarchical Labeling for Digital Learning Infrastructure. 33th International Conference on Computers in Education Conference Proceedings.
  14. Woollaston, S., Flanagan, B., Ocheja, P., & Ogata, H. (2025). ARCHIE: EFL Learning Processes in Chatbot-Supported Active Reading using Transition Network Analysis. International Conference on Learning Evidence and Analytics (ICLEA).
  15. Ichidate, H., Dai, Y., Flanagan, B., & Ogata, H. (2025). Exploring the relationship of learners’ extensive reading behavior transitions via reflections. International Conference on Learning Evidence and Analytics (ICLEA).
  16. Yuan, Y., Flanagan, B., & Hou, R. (2025). Predicting Academic Performance from Student Behaviors and Content Engagement. International Conference on Learning Evidence and Analytics (ICLEA).
  17. Wong, K., Dai, Y., Toyokawa, Y., Flanagan, B., & Ogata, H. (2025). Picture-Cued Writing Using AI-Generated Images for Language Acquisition. International Conference on Learning Evidence and Analytics (ICLEA).
  18. Dai, Y., Ichidate, H., Flanagan, B., & Ogata, H. (2025). Modeling Test and Study Behaviors in Math Exercise Solving. International Conference on Learning Evidence and Analytics (ICLEA).
  19. Yamauchi, T., Flanagan, B., Dai, Y., Kita, T., & Ogata, H. (2025). A Rubric-based LLM Automatic Grading of Mathematical Reasoning in Self-explained Answers. International Conference on Learning Evidence and Analytics (ICLEA).
  20. Takami, K., Nakamoto, R., Dai, Y., Flanagan, B., & Ogata, H. (2025). Pilot Study of Self-explanation Based Automate Stuck Point Detection and Personalized Feed-back Recommendation by Educational eXplainable AI Tool in Middle School Math Classes. 26th International Conference Artificial Intelligence in Education (AIED2025), pp. 119-128.
  21. Abou-Khalil, V., Hollenstein, L., Ferraioli, V., Vogt, M., Flanagan, B., Vogt, F., & Mondada, F. (2025). Preparing Teachers for an Equitable AI Integration in Education. 26th International Conference Artificial Intelligence in Education (AIED2025), pp. 249-254.
  22. Majumdar, R., Li, H., Flanagan, B., Kubota, S., Bhattacharya, S., Kothiyal, A., Pande, P., Santos, O.C., & Chounta, I. (2025). Multimodal Interactions and Explainable AI for Reflective Physical and Online Learning: MiXai^learn Workshop. 26th International Conference Artificial Intelligence in Education (AIED2025), pp. 315-320.
  23. Woollaston, S., Flanagan, B., Ocheja, P., Toyokawa, Y., & Ogata, H. (2025). ARCHIE: Exploring Language Learner Behaviors in LLM Chatbot-Supported Active Reading Log Data with Epistemic Network Analysis. Proceedings of the 15th International Learning Analytics and Knowledge Conference, pp. 642-654.
  24. Flanagan, B., Shimada, A., Okubo, F., Tseng, H., Yang, A.C., Lu, O.H., & Ogata, H. (2025). The 7th Workshop on Predicting Performance Based on the Analysis of Reading and Learning Behavior. Proceedings of the 15th International Conference on Learning Analytics and Knowledge. (In press)

    25. 2024

  25. Ocheja, P., Cortes-Goicoechea, M., Mohandas-Daryanani, T., Flanagan, B., Ogata, H., Luis Munoz, J., & Bautista-Gomez, L. (2024). An Analytical Study of Large Blocks on Ethereum. Proceedings of the 2024 6th Blockchain and Internet of Things Conference (BIOTC ’24), pp. 120-127.
  26. Hsu, T.T., Lu, O., & Flanagan, B. (2024). Methods of Balancing Model Explainability and Performance in Identifying At-Risk Students. 32th International Conference on Computers in Education Conference Proceedings, pp. 374-380.
  27. Ichidate, H., Dai, Y., Flanagan, B., & Ogata, H. (2024). Exploring reading speed profiles in EFL extensive reading. 32th International Conference on Computers in Education Conference Proceedings, pp. 763-766.
  28. Wong, K., Ocheja, P., Flanagan, B., & Ogata, H. (2024). AVERY: A GenAI-based Approach to Enhancing Learner Engagement in English Writing. 32th International Conference on Computers in Education Conference Proceedings, pp. 300-310.
  29. Anoliefo, E., Ocheja, P., Ochonu, R., Flanagan, B., & Ogata, H. (2024). Supporting Students’ Post-Exam Reflection Needs in College Automation Engineering Course Using LLM. 32th International Conference on Computers in Education Conference Proceedings, pp. 328-333.
  30. Wijerathne, I., Flanagan, B., & Ogata, H. (2024). Empowering Educational Researchers with a Privacy-Centric Data Platform: Design, Implementation, and Implications. 32th International Conference on Computers in Education Conference Proceedings, pp. 434-436.
  31. Woollaston, S., Flanagan, B., Ocheja, P., Dai, Y., & Ogata, H. (2024). TAMMY: Supporting EFL Translation Practice with an LLM-powered Chatbot. 32th International Conference on Computers in Education Conference Proceedings, pp. 585-594.
  32. Yamauchi, T., Hoppe, H.U., Dai, Y., Flanagan, B., & Ogata, H. (2024). Representing Learning Progression of Unguided Exercise Solving: A Generalization of Wheel-Spinning Detection. 32th International Conference on Computers in Education Conference Proceedings, pp. 686-695.
  33. Nakamoto, R., Flanagan, B., Dai, Y., Takami, K., & Ogata, H. (2024). Auto-Scoring of Math Self-Explanations by Combining Visual and Language Analysis. 2024 IEEE 24th International Conference on Advanced Learning Technologies (ICALT), pp. 164-168.
  34. Nakamoto, R., Flanagan, B., Dai, Y., Takami, K., & Ogata, H. (2024). An Automated Impasse Detection System Based on the Analysis of Self-Explanations in Mathematics. 2024 IEEE 24th International Conference on Advanced Learning Technologies (ICALT), pp. 75-79.
  35. Flanagan, B., Wasson, B., & Gašević, D. (2024). LAK24 Program Chairs’ Welcome. Proceedings of the 13th International Conference on Learning Analytics and Knowledge, pp. III-IV.
  36. Woollaston, S., Flanagan, B., & Ogata, H. (2024). Chatbots and English as a Foreign Language Learning: A Systematic Review. Joint Proceedings of LAK 2024 Workshops, pp. 89-98.
  37. Takii, K., Koike, K., Horikoshi, I., Flanagan, B., & Ogata, H. (2024). OKLM: A Universal Learner Model Integrating Everyday Learning Activities with Knowledge Maps. Companion Proceedings 14th International Conference on Learning Analytics & Knowledge, pp. 191-193.
  38. Flanagan, B., Shimada, A., Okubo, F., Tseng, H., Yang, A.C., Lu, O.H., & Ogata, H. (2024). The 6th Workshop on Predicting Performance Based on the Analysis of Reading and Learning Behavior. Companion Proceedings 14th International Conference on Learning Analytics & Knowledge, pp. 369-372.

    39. 2023

  39. Takii, K., Tanimura, N., Flanagan, B., & Ogata, H. (2023). Construction of an English Grammar Quiz Recommendation System Using Explanation by a Knowledge Map. 31th International Conference on Computers in Education Conference Proceedings, pp. 795-800.
  40. Wijerathne, I., Flanagan, B., Dai, Y., & Ogata, H. (2023). ECLAIR: A Centralized AI-Powered Recommendations System in a Multi- Node EXAIT System. 31th International Conference on Computers in Education Conference Proceedings, pp. 422-428.
  41. Ocheja, P., Majumdar, R., Flanagan, B., & Ogata, H. (2023). Sharing Learning Log while maintaining privacy over blockchain: Heuristic Evaluation of BOLL. 31th International Conference on Computers in Education Conference Proceedings, pp. 429-434.
  42. Dai, Y., Flanagan, B., & Ogata, H. (2023). Can We Ensure Accuracy and Explainability for a Math Recommender System?. 31th International Conference on Computers in Education Conference Proceedings, pp. 88-97.
  43. Yamauchi, T., Nakamoto, R., Dai, Y., Takami, K., Flanagan, B., & Ogata, H. (2023). Improved Automated Labeling of Mathematical Exercises in Japanese. 31th International Conference on Computers in Education Conference Proceedings, pp. 78-87.
  44. Flanagan, B., Shimada, A., Okubo, F., Lu, H.T., Yang, S.J., & Ogata, H. (2023). The 5th Workshop on Predicting Performance Based on the Analysis of Reading Behavior. Proceedings of the 13th International Conference on Learning Analytics and Knowledge, pp. 279-282.
  45. Baloian, N., Cobaise, J., Peñafiel, S., Flanagan, B., Majumdar, R., & Ogata, H. (2023). Applying an interpretable and accurate model to Learning analytics. 5th Workshop on Predicting Performance Based on the Analysis of Reading Behavior.
  46. Bobea, M., Park, S., Flanagan, B., & Lu, H.T. (2023). Improving the Prediction Accuracy of Student Performance in a Cross-Semester Scenario Utilizing a Domain Adaptation Approach. 5th Workshop on Predicting Performance Based on the Analysis of Reading Behavior.
  47. Dai, Y., Flanagan, B., Takami, K., & Ogata, H. (2023). Fusion of Explainable Recommender System and Open Learner Model. Proceedings of the 12th International Conference on Learning Analytics and Knowledge, pp. 114-116.
  48. Takami, K., Flanagan, B., Dai, Y., & Ogata, H. (2023). Toward Trustworthy Explainable Recommendation: Personality Based Tailored Explanation for Improving E-learning Engagements and Motivation to Learn. Proceedings of the 12th International Conference on Learning Analytics and Knowledge, pp. 120-122.
  49. Majumdar, R., Yang, Y., Li, H., Flanagan, B., & Ogata, H. (2023). 3 Years of GOAL project in Public School: Leveraging Learning & Smartwatch Logs for Self-directed Learning. Proceedings of the 12th International Conference on Learning Analytics and Knowledge (practitioners report), pp. 5-8.
  50. Ogata, H., Flanagan, B., Majumdar, R., & Horikoshi, I. (2023). Data and Evidence Informed Educational Practice with LEAF System. Proceedings of the 12th International Conference on Learning Analytics and Knowledge (Demo), pp. 179-179.

    51. 2022

  51. Takami, K., Miyabe, G., Flanagan, B., & Ogata, H. (2022). Automated Quiz Test Set Maker Optimizing Solving Time and Parameters of Bayesian Knowledge Tracing Model Extracted from Learning Log. 30th International Conference on Computers in Education Conference Proceedings, pp. 91-95.
  52. Lu, O.H., Huang, A.Y., Flanagan, B., Ogata, H., & Yang, S.J. (2022). A Quality Data Set for Data Challenge: Featuring 160 Students’ Learning Behaviors and Learning Strategies in a Programming Course. 30th International Conference on Computers in Education Conference Proceedings, pp. 64-73.
  53. Yamauchi, T., Takami, K., Flanagan, B., & Ogata, H. (2022). Toward Individually Optimized Nudge Intervention: Different Message Notifications Effects on e-Learning System Engagements for Personality Traits. 30th International Conference on Computers in Education Conference Proceedings, pp. 42-50.
  54. Tian, Z., Flanagan, B., Dai, Y., & Ogata, H. (2022). Automated Matching of Exercises with Knowledge components. 30th International Conference on Computers in Education Conference Proceedings, pp. 24-32.
  55. Tanimura, N., Takii, K., Flanagan, B., & Ogata, H. (2022). A Learning Path Recommendation System for English Grammar Quiz Using Knowledge Map. 30th International Conference on Computers in Education Conference Proceedings, pp. 581-583.
  56. Nakamizo, Y., Majumdar, R., Horikoshi, I., Liang, C., Flanagan, B., & Ogata, H. (2022). GWpulse: Supporting Learner Modeling and Group Awareness in Online Forum with Sentiment Analysis. 30th International Conference on Computers in Education Conference Proceedings, pp. 230-232.
  57. Takii, K., Flanagan, B., Li, H., Yang, Y., & Ogata, H. (2022). Explainable English Material Recommendation Using an Information Retrieval Technique for EFL Learning. 30th International Conference on Computers in Education Conference Proceedings, pp. 561-570.
  58. Liang, C., Majumdar, R., Horikoshi, I., Flanagan, B., & Ogata, H. (2022). Exploring predictive indicators of reading-based online group work for group formation assistance. 30th International Conference on Computers in Education Conference Proceedings, pp. 642-647.
  59. Dai, Y., Takami, K., Flanagan, B., & Ogata, H. (2022). Investigation on Practical Effects of the Explanation in a K-12 Math Recommender System. 30th International Conference on Computers in Education Conference Proceedings, pp. 7-12.
  60. Majumdar, R., Li, H., Yang, Y., Flanagan, B., & Ogata, H. (2022). GOAL System to Support In-class Reading Activity: A Study of Advanced and Standard EFL Learners. International Conference on Future Language Learning (ICFULL), pp. 39-39.
  61. Nakamoto, R., Flanagan, B., Dai, Y., Takami, K., & Ogata, H. (2022). An Automatic Self-Explanation Sample Answer Generation with knowledge components for Identifying Students’ Stuck Point in a Maths Quiz. Artificial Intelligence in Education (AIED), pp. 254-258.
  62. Ocheja, P., Flanagan, B., & Ogata, H. (2022). Assessment Results on the Blockchain: A Conceptual Framework. Artificial Intelligence in Education (AIED), pp. 306–310.
  63. Majumdar, R., Liang, C., Kuromiya, H., Flanagan, B., & Ogata, H. (2022). Learning and Evidence Analytics Framework (LEAF): Innovating Log Data Driven Services for Teaching and Learning. International Society of the Learning Sciences (ISLS), pp. 24-27.
  64. Majumdar, R., Tanimura, N., Arakawa, Y., Nakamizo, Y., Flanagan, B., Li, H., Yang, Y., & Ogata, H. (2022). Learning at a Cafe and Learning at a Lab: Integrating Learning Logs with Smart Eyewear and Environmental Sensor Data. 2022 IEEE 22th International Conference on Advanced Learning Technologies (ICALT), pp. 95-97.
  65. Takami, K., Flanagan, B., Majumdar, R., & Ogata, H. (2022). Preliminary Personal Trait Prediction from High school Summer Vacation e-learning Behavior. Proceedings of the 4th Workshop on Predicting Performance Based on the Analysis of Reading Behavior, pp. 21-29.
  66. Dai, Y., Flanagan, B., Takami, K., & Ogata, H. (2022). Design of a User-Interpretable Math Quiz Recommender System for Japanese High School Students. Proceedings of the 4th Workshop on Predicting Performance Based on the Analysis of Reading Behavior, pp. 30-38.
  67. Flanagan, B., Shimada, A., Okubo, F., Majumdar, R., Li, H., & Ogata, H. (2022). The 4th Workshop on Predicting Performance Based on the Analysis of Reading Behavior. Companion Proceedings of the 11th International Conference on Learning Analytics and Knowledge, pp. 152-155.
  68. Takami, K., Dai, Y., Flanagan, B., & Ogata, H. (2022). Educational Explainable Recommender Usage and its Effectiveness in High school Summer Vacation Assignment. Proceedings of the 11th International Conference on Learning Analytics and Knowledge, pp. 458-464.

    69. 2021

  69. Tian, Z., Zheng, G., Flanagan, B., Mi, J., & Ogata, H. (2021). BEKT: Deep Knowledge Tracing with Bidirectional Encoder Representations from Transformers. 29th International Conference on Computers in Education Conference Proceedings, pp. 544-553.
  70. Nakamoto, R., Flanagan, B., Takami, K., Dai, Y., & Ogata, H. (2021). Identifying Students’ Stuck Points Using Self-Explanations and Pen Stroke Data in a Mathematics Quiz. 29th International Conference on Computers in Education Conference Proceedings, pp. 522-531.
  71. Takami, K., Flanagan, B., Dai, Y., & Ogata, H. (2021). Toward Educational Explainable Recommender System: Explanation Generation based on Bayesian Knowledge Tracing Parameters. 29th International Conference on Computers in Education Conference Proceedings, pp. 532-537.
  72. Flanagan, B., Takami, K., Takii, K., Dai, Y., Majumdar, R., & Ogata, H. (2021). EXAIT: A Symbiotic Explanation Education System. 29th International Conference on Computers in Education Conference Proceedings, pp. 404-409.
  73. Ocheja, P., Flanagan, B., Majumdar, R., & Ogata, H. (2021). Blockchain in Education: Visualizations and Validating Relevance of Prior Learning Data. 29th International Conference on Computers in Education Conference Proceedings, pp. 279-284.
  74. Majumdar, R., Bakilapadavu, G., Li, J., Chen, M.A., Flanagan, B., & Ogata, H. (2021). Analytics of Open-Book Exams with Interaction Traces in a Humanities Course. 29th International Conference on Computers in Education Conference Proceedings, pp. 352-361.
  75. Flanagan, B., Liang, C., Majumdar, R., & Ogata, H. (2021). Towards Explainable Group Formation by Knowledge Map based Genetic Algorithm. 2021 IEEE 21th International Conference on Advanced Learning Technologies (ICALT), pp. 370-372.
  76. Takii, K., Flanagan, B., & Ogata, H. (2021). EFL Vocabulary Learning Using a Learning Analytics-based E-book and Recommender Platform. 2021 IEEE 21th International Conference on Advanced Learning Technologies (ICALT), pp. 254-256.
  77. Majumdar, R., Yoshitake, D., Flanagan, B., & Ogata, H. (2021). ReDrEw: A Drawing based Knowledge Organization Task in LA-enhanced Platform. 2021 IEEE 21th International Conference on Advanced Learning Technologies (ICALT), pp. 302-304. (Paper Nominated for Best Short Paper Award)
  78. Abou-Khalil, V., Flanagan, B., & Ogata, H. (2021). Personal Vocabulary Recommendation to Support Real Life Needs. International Conference on Artificial Intelligence in Education, pp. 18-23.
  79. Majumdar, R., Şahin, D., Kondo, T., Li, H., Yang, Y.Y., Flanagan, B., & Ogata, H. (2021). Enabling Multimodal Reading Analytics through GOAL Platform. Companion Proceedings of the 11th International Conference on Learning Analytics and Knowledge (Poster), pp. 79-81.
  80. Takii, K., Flanagan, B., & Ogata, H. (2021). An English Picture-book Recommender System for Extensive Reading Using Vocabulary Knowledge Map. Companion Proceedings of the 11th International Conference on Learning Analytics and Knowledge (Poster), pp. 40-42.
  81. Flanagan, B., Shimada, A., Majumdar, R., & Ogata, H. (2021). The 3rd Workshop on Predicting Performance Based on the Analysis of Reading Behavior. Companion Proceedings of the 11th International Conference on Learning Analytics and Knowledge, pp. 237-240.

    82. 2020

  82. Takii, K., Flanagan, B., & Ogata, H. (2020). Efficiency or Engagement: Comparison of Book Recommendation Approaches in English Extensive Reading. 28th International Conference on Computers in Education Conference Proceedings, pp. 106-112.
  83. Majumdar, R., Bakilapadavu, G., Rajendran, R., Sahasrabudhe, S., Flanagan, B., Chen, M.A., & Ogata, H. (2020). Learning Analytics for Humanities and Design Education. 28th International Conference on Computers in Education Conference Proceedings, pp. 154-156.
  84. Flanagan, B., Majumdar, R., Takii, K., Ocheja, P., Chen, A.M., & Ogata, H. (2020). Identifying Student Engagement and Performance from Reading Behaviors in Open eBook Assessment. 28th International Conference on Computers in Education Conference Proceedings, pp. 235-244.
  85. Ocheja, P., Flanagan, B., Oyelere, S.S., Lecailliez, L., & Ogata, H. (2020). A Prototype Framework for a Distributed Lifelong Learner Model. 28th International Conference on Computers in Education Conference Proceedings, pp. 261-266.
  86. Yoshitake, D., Flanagan, B., & Ogata, H. (2020). Supporting Group Learning Using Pen Stroke Data Analytics. 28th International Conference on Computers in Education Conference Proceedings, pp. 634-639.
  87. Majumdar, R., Bakilapadavu, G., Majumder, R., Chen, A.M., Flanagan, B., & Ogata, H. (2020). Learning Analytics of Critical Reading Activity: Reading Hayavadana during Lockdown. 28th International Conference on Computers in Education Conference Proceedings, pp. 127-136.
  88. Chen, A.M., Majumdar, R., Hwang, G., Lin, Y., Akçapınar, G., Flanagan, B., & Ogata, H. (2020). Improving EFL students’ learning achievements and behaviors using a learning analytics-based e-book system. 28th International Conference on Computers in Education Conference Proceedings, pp. 474-483.
  89. Akçapınar, G., Hasnine, N.M., Majumdar, R., Chen, A.M., Flanagan, B., & Ogata, H. (2020). Exploring temporal study patterns in eBook-based learning. 28th International Conference on Computers in Education Conference Proceedings, pp. 342-347.
  90. Majumdar, R., Chen, A.M., Flanagan, B., & Ogata, H. (2020). E-book based Learning in times of Pandemic. 28th International Conference on Computers in Education Conference Proceedings, pp. 680-682.
  91. Yang, A., Chen, Y., Flanagan, B., & Ogata, H. (2020). Applying Key Concepts Extraction for Evaluating the Quality of Students’ Highlights on e-Book. 28th International Conference on Computers in Education Conference Proceedings, pp. 284-288.
  92. Yang, A., Chen, Y., Flanagan, B., & Ogata, H. (2020). How Does The Quality of Students’ Highlights Affect Their Learning Performance in e-Book Reading. 28th International Conference on Computers in Education Conference Proceedings, pp. 289-294.
  93. Flanagan, B., Majumdar, R., Akçapınar, G., & Ogata, H. (2020). The Relationship Between Student Performance and Reading Behavior in Open eBook Assessment. 2020 IEEE 20th International Conference on Advanced Learning Technologies (ICALT), pp. 368-372. (Nominated for Best Full Paper Award)
  94. Majumdar, R., Li, H., Yang, Y.Y., Flanagan, B., Akçapınar, G., & Ogata, H. (2020). Oh! Another Deadline: Cohort Analysis of Learner’s Behaviors in Self-Directed Tasks. 2020 IEEE 20th International Conference on Advanced Learning Technologies (ICALT), pp. 259-261.
  95. Flanagan, B., Majumdar, R., Shimada, A., & Ogata, H. (2020). The 2nd Workshop on Predicting Performance Based on the Analysis of Reading Behavior. Companion Proceedings of the 10th International Conference on Learning Analytics and Knowledge, pp. 604-607.
  96. Ocheja, P., Flanagan, B., Lecailliez, L., & Ogata, H. (2020). Improving Learning Analytics and Student Performance through Connected Lifelong Learning on the Blockchain. Companion Proceedings of the 10th International Conference on Learning Analytics and Knowledge, pp. 608-616.
  97. Owoeye Oluwaseyi, A.A., Ocheja, P., Flanagan, B., & Ogata, H. (2020). Learning Engagement – Clustering Analysis based on Student Interaction with Digital Textbooks. Companion Proceedings of the 10th International Conference on Learning Analytics and Knowledge, pp. 661-668.
  98. Majumdar, R., Kuromiya, H., Komura, K., Flanagan, B., & Ogata, H. (2020). LA Platform in Junior High School: Trends of Usage and Student Performance. Companion Proceedings of the 10th International Conference on Learning Analytics and Knowledge (Poster), pp. 110-112.
  99. Lecailliez, L., Flanagan, B., Chen, M.A., & Ogata, H. (2020). Smart dictionary for e-book reading analytics. Proceedings of the Tenth International Conference on Learning Analytics & Knowledge, pp. 89-93.
  100. Akçapinar, G., Chen, M.A., Majumdar, R., Flanagan, B., & Ogata, H. (2020). Exploring student approaches to learning through sequence analysis of reading logs. Proceedings of the Tenth International Conference on Learning Analytics & Knowledge, pp. 106-111.

    101. 2019

  101. Chen, M.A., Ogata, H., Hwang, G., Akçapinar, G., Flanagan, B., Lin, Y., & Hsu, H. (2019). Impacts of a Knowledge Sharing-based e-Book System on Students’ Language Learning Performance and Behaviors. 27th International Conference on Computers in Education Conference Proceedings, pp. 320-325.
  102. Yang, Y.Y., Majumdar, R., Lia, H., Akçapinar, G., Flanagan, B., & Ogata, H. (2019). Measuring Analysis Skill in Data-informed Self-directed Activities. 27th International Conference on Computers in Education Conference Proceedings, pp. 335-343.
  103. Flanagan, B., Chen, M.A., Lecailliez, L., Majumdar, R., Akçapinar, G., Ocheja, P., & Ogata, H. (2019). Automatic vocabulary study map generation by semantic context and learning material analysis. 27th International Conference on Computers in Education Conference Proceedings, pp. 698-702.
  104. Akçapınar, G., Hasnine, M.N., Majumdar, R., Flanagan, B., & Ogata, H. (2019). Exploring the Relationships between Students’ Engagement and Academic Performance in the Digital Textbook System. 27th International Conference on Computers in Education Conference Proceedings, pp. 318-323.
  105. Rwitajit, M., Warriem, J., Kuromiya, H., Akçapinar, G., Flanagan, B., & Ogata, H. (2019). Learning Evidence Analytics Framework (LEAF) in Practice: A2I2 based Teacher Adoption Approach. 27th International Conference on Computers in Education Conference Proceedings, pp. 351-353.
  106. Li, H., Yang, Y.Y., Majumdar, R., Akçapinar, G., Flanagan, B., & Ogata, H. (2019). Modeling Self-Planning and Promoting Planning Skills in a Data-Rich Context. 27th International Conference on Computers in Education Conference Proceedings, pp. 300-305.
  107. Akçapinar, G., Hasnine, M., Rwitajit, M., Flanagan, B., & Ogata, H. (2019). E-Book Data Analysis in the Context of Learning Analytics: The Example of Bookroll. 7th International Conference on Instructional Technology and Teacher Education (ITTES 2019), pp. 320-320.
  108. Boticki, I., Ogata, H., Tomiek, K., Akçapinar, G., Flanagan, B., Majumdar, R., & Hasnine, N. (2019). Identifying Reading Styles from E-book Log Data. 27th International Conference on Computers in Education Conference Proceedings, pp. 312-317.
  109. Yang, C.C., Akçapinar, G., Flanagan, B., & Ogata, H. (2019). Developing e-book page ranking model for pre-class reading recommendation. 27th International Conference on Computers in Education Conference Proceedings, pp. 360-362.
  110. Hasnine, M.N., Akçapınar, G., Flanagan, B., Mouri, K., Ogata, H., Kaneko, K., & Uosaki, N. (2019). Design of a location-based word recommendation system based on association rule mining analysis. 2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI), pp. 250-253.
  111. Hasnine, M.N., Flanagan, B., Akçapınar, G., Ogata, H., Mouri, K., & Uosaki, N. (2019). Vocabulary learning support system based on automatic image captioning technology. International Conference on Human-Computer Interaction, pp. 346-358.
  112. Ocheja, P., Flanagan, B., & Ogata, H. (2019). Decentralized E-Learning Marketplace: Managing Authorship and Tracking Access to Learning Materials Using Blockchain. International Cognitive Cities Conference, pp. 526-535. (Best Student Paper Award)
  113. Majumdar, R., Yang, Y.Y., Li, H., Akçapınar, G., Flanagan, B., & Ogata, H. (2019). Adaptive Support for Acquisition of Self-Direction Skills using Learning and Health Data. 2019 IEEE 19th International Conference on Advanced Learning Technologies (ICALT), pp. 54-56.
  114. Li, H., Majumdar, R., Yang, Y.Y., Flanagan, B., & Ogata, H. (2019). Extracting Self-Direction Strategies and Representing Practices in GOAL System. Companion Proceedings of the 9th International Conference on Learning Analytics and Knowledge, pp. 676-684.
  115. Majumdar, R., Akçapınar, A., Akçapınar, G., Flanagan, B., & Ogata, H. (2019). Learning analytics dashboard widgets to author teaching-learning cases for evidence-based education. Companion Proceedings of the 9th International Conference on Learning Analytics and Knowledge, pp. 606-613.
  116. Abou Khalil, V., Flanagan, B., Nehal Hasnine, M., & Ogata, H. (2019). Identification of the vocabulary needed to foster self-expression in Syrian refugees in Lebanon. Companion Proceedings of the 9th International Conference on Learning Analytics and Knowledge, pp. 378-383.
  117. Majumdar, R., Akçapınar, A., Akçapınar, G., Ogata, H., & Flanagan, B. (2019). LAView: Learning analytics dashboard towards evidence-based education. Companion Proceedings of the 9th International Conference on Learning Analytics and Knowledge, pp. 74-79.
  118. Flanagan, B., Shimada, A., Yang, S., Chen, B., Shih, Y., & Ogata, H. (2019). Predicting performance based on the analysis of reading behavior: a data challenge. Companion Proceedings of the 9th International Conference on Learning Analytics and Knowledge, pp. 398-491.
  119. Hasnine, M.N., Flanagan, B., Ishikawa, M., Ogata, H., Mouri, K., & Kaneko, K. (2019). A platform for image recommendation in foreign word learning. Companion Proceedings of the 9th International Conference on Learning Analytics and Knowledge, pp. 187-188.
  120. Akçapınar, G., Hasnine, M.N., Majumdar, R., Flanagan, B., & Ogata, H. (2019). Using learning analytics to detect off-task reading behaviors in class. Companion Proceedings of the 9th International Conference on Learning Analytics and Knowledge, pp. 471-476.
  121. Yang, C.C., Flanagan, B., Akçapınar, G., & Ogata, H. (2019). Investigating subpopulation of students in digital textbook reading logs by clustering. Companion Proceedings of the 9th International Conference on Learning Analytics and Knowledge, pp. 465-470.
  122. Flanagan, B., Majumdar, R., Akçapınar, G., Wang, J., & Ogata, H. (2019). Knowledge map creation for modeling learning behaviors in digital learning environments. Companion Proceedings of the 9th International Conference on Learning Analytics and Knowledge, pp. 428-436.

    123. 2018

  123. Hasnine, M.N., Akçapınar, G., Flanagan, B., Majumdar, R., Mouri, K., & Ogata, H. (2018). Towards final scores prediction over clickstream using machine learning methods. 26th International Conference on Computers in Education Workshop Proceedings, pp. 399-404.
  124. Ogata, H., Majumdar, R., Akçapınar, G., Hasnine, M.N., & Flanagan, B. (2018). Beyond learning analytics: Framework for technology-enhanced evidence-based education and learning. 26th International Conference on Computers in Education Workshop Proceedings, pp. 493-496.
  125. Flanagan, B., Chen, W., & Ogata, H. (2018). Joint Activity on Learner Performance Prediction using the BookRoll Dataset. International Conference on Computers in Education (ICCE2018), pp. 480-485.
  126. Ogata, H., Uosaki, N., Mouri, K., Hasnine, M.N., Abou-Khalil, V., & Flanagan, B. (2018). SCROLL Dataset in the context of ubiquitous language learning. Workshop Proceedings of the 26th International Conference on Computer in Education, pp. 418-423.
  127. Flanagan, B., Akçapınar, G., Majumdar, R., & Ogata, H. (2018). Automatic generation of contents models for digital learning materials. 26th International Conference on Computers in Education Main Conference Proceedings, pp. 804-806.
  128. Majumdar, R., Yang, Y.Y., Li, H., Akçapınar, G., Flanagan, B., & Ogata, H. (2018). GOAL: A System to Support Learner’s Acquisition of Self Direction Skills. 26th International Conference on Computers in Education Main Conference Proceedings, pp. 406-415. (Paper Nominated Best Technical Design Award)
  129. Akçapinar, G., Majumdar, R., Flanagan, B., & Ogata, H. (2018). Investigating Students’e-Book Reading Patterns with Markov Chains. 26th International Conference on Computers in Education Main Conference Proceedings, pp. 310-315.
  130. Yang, C.C., Akçapinar, G., Flanagan, B., & Ogata, H. (2018). Transferring Learning Footprints Across Versions within E-Book Reader. 26th International Conference on Computers in Education Main Conference Proceedings, pp. 346-348.
  131. Hasnine, M.N., Mouri, K., Flanagan, B., Akçapinar, G., Uosaki, N., & Ogata, H. (2018). Image recommendation for informal vocabulary learning in a context-aware learning environment. Proceedings of the 26th International Conference on Computer in Education, pp. 669-674.
  132. Ono, Y., Kato, T., & Flanagan, B. (2018). Score Prediction by SVM and its Implication for Japanese EFL Learners’ Essay Evaluation. Proceedings of the 26th International Conference on Computer in Education, pp. 675-680.
  133. Flanagan, B., & Ogata, H. (2018). A learning analytics platform approach to seamless learning. 2018 7th International Congress on Advanced Applied Informatics (IIAI-AAI), pp. 370-373. (Innovative Short Paper Award)
  134. Flanagan, B., & Ogata, H. (2018). Learning analytics infrastructure for seamless learning. Companion proceedings 8th international conference on learning analytics and knowledge (LAK18), pp. 6.
  135. Ocheja, P., Flanagan, B., & Ogata, H. (2018). Connecting decentralized learning records: a blockchain based learning analytics platform. Proceedings of the 8th international conference on learning analytics and knowledge, pp. 265-269.
  136. Abou-Khalil, V., Flanagan, B., & Ogata, H. (2018). Learning false friends across contexts. Companion Proceedings 8th International Conference on Learning Analytics and Knowledge (LAK18), pp. 6.

    137. 2017

  137. Flanagan, B., & Ogata, H. (2017). Integration of learning analytics research and production systems while protecting privacy. The 25th International Conference on Computers in Education, Christchurch, New Zealand, pp. 333-338.
  138. Flanagan, B., Hirokawa, S., Kaneko, E., Izumi, E., & Ogata, H. (2017). A Multi-model SVR Approach to Estimating the CEFR Proficiency Level of Grammar Item Features. 2017 6th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI), pp. 521-526.
  139. Wang, J., Flanagan, B., & Ogata, H. (2017). Semi-automatic construction of ontology based on data mining technique. 2017 6th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI), pp. 511-515.

    140. 2016

  140. Flanagan, B., Hirokawa, S., Kaneko, E., & Izumi, E. (2016). Classification of Speaking Proficiency Level by Machine Learning and Feature Selection. International Symposium on Emerging Technologies for Education, pp. 677-682.
  141. Flanagan, B., & Hirokawa, S. (2016). Support Vector Mind Map of Wine Speak. International Conference on Human Interface and the Management of Information, pp. 127-135.
  142. Flanagan, B., & Hirokawa, S. (2016). Automatic extraction and prediction of word order errors from language learning SNS. 2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI), pp. 292-295.
  143. Flanagan, B., Hashimoto, K., & Hirokawa, S. (2016). Analysis of Antonymic Adjective Meaning Dimensions in Winespeak. Proceedings of 11th International Symposium on Natural Language Processing (SNLP-2016).
  144. Flanagan, B., Paradis, C., Hashimoto, K., & Hirokawa, S. (2016). Analysis of The Diachronic Relations of Adjective Antonym Pairs in Wine Tasting Notes. Proceedings of 21st International Symposium on Artificial Life and Robotics, pp. 749-754.
  145. Onimura, N., Flanagan, B., Yamashita, T., & Hirokawa, S. (2016). Performance Effect of Feature Selection on Support Vector Machine. Proceedings of 21st International Symposium on Artificial Life and Robotics, pp. 420-424.

    146. 2015

  146. Kubo, H., Yamashita, T., Flanagan, B., Wakata, Y., Nakashima, N., & Hirokawa, S. (2015). Feature Words to Predict Long Post-Operatively Stay in Semi-structured Medical Records. Proceedings of 4th Asian Conference on Information Systems, pp. 75-79.
  147. Yamashita, T., Flanagan, B., Wakata, Y., Hamai, S., Nakashima, Y., Iwamoto, Y., Nakashima, N., & Hirokawa, S. (2015). Visualization of key factor relation in clinical pathway. Procedia Computer Science, pp. 342-351.
  148. Yamashita, T., Wakata, Y., Hamai, S., Nakashima, Y., Iwamoto, Y., Flanagan, B., Nakashima, N., & Hirokawa, S. (2015). Temporal Relation Extraction in Outcome Variances of Clinical Pathways. MEDINFO 2015: eHealth-enabled Health, pp. 1077-1077.
  149. Flanagan, B., Yin, C., Suzuki, T., & Hirokawa, S. (2015). Prediction of learner native language by writing error pattern. International Conference on Learning and Collaboration Technologies, pp. 87-96.
  150. Flanagan, B., Wariishi, N., Suzuki, T., & Hirokawa, S. (2015). Predicting and visualizing wine characteristics through analysis of tasting notes from viewpoints. International Conference on Human-Computer Interaction, pp. 613-619.
  151. Flanagan, B., & Hirokawa, S. (2015). Web of Wine Words: Hierarchy Visualization of Wine Speak by Restricted Bootstrap. Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA), pp. 290-296.
  152. Wariishi, N., Flanagan, B., Suzuki, T., & Hirokawa, S. (2015). Sentiment analysis of wine aroma. 2015 IIAI 4th International Congress on Advanced Applied Informatics, pp. 207-212.
  153. Flanagan, B., & Hirokawa, S. (2015). Correlation between an Entropy Based Measure and English Language Learner Proficiency. 2015 IIAI 4th International Congress on Advanced Applied Informatics, pp. 349-353.

    154. 2014

  154. Hirokawa, S., Flanagan, B., Suzuki, T., & Yin, C. (2014). Learning winespeak from mind map of wine blogs. International Conference on Human Interface and the Management of Information, pp. 383-393.
  155. Yamashita, T., Wakata, Y., Hamai, S., Nakashima, Y., Iwamoto, Y., Flanagan, B., Nakashima, N., & Hirokawa, S. (2014). Construction of Dominant Factor Presumption Model for Postoperative Hospital Days from Operation Records. 2014 IIAI 3rd International Conference on Advanced Applied Informatics, pp. 19-24.
  156. Hirokawa, S., Flanagan, B., Yin, C., & Nakae, H. (2014). Vizualization of Relation and Generality of Words in Search Result. Proceedings of the Third Asian Conference on Information Systems, pp. 90-95.
  157. Yin, C., Flanagan, B., & Hirokawa, S. (2014). Learning by “Search & Log”. International Conference on Computer in Education (ICCE 2014), pp. 391-393.
  158. Flanagan, B., Yin, C., Suzuki, T., & Hirokawa, S. (2014). Classification and clustering english writing errors based on native language. 2014 IIAI 3rd International Conference on Advanced Applied Informatics, pp. 318-323. (Nominated for Best Student Paper Award)

    159. 2013

  159. Ito, E., Flanagan, B., Yin, C., Nakatoh, T., & Hirokawa, S. (2013). A private cloud environment for teaching search engine construction. Proceedings of the 21st International Conference on Computers in Education, pp. 391-397.
  160. Zeng, J., Flanagan, B., & Hirokawa, S. (2013). Layout-tree-based approach for identifying visually similar blocks in a web page. 2013 IEEE/ACIS 12th International Conference on Computer and Information Science (ICIS), pp. 65-70.
  161. Flanagan, B., Yin, C., Hashimoto, K., & Hirokawa, S. (2013). Clustering english writing errors based on error category prediction. 3rd International Symposium on Engineering, Energy and Environments, pp. 733-738.
  162. Yin, C., Flanagan, B., Hirokawa, S., & Tabata, Y. (2013). Build a Search Engine to Support Doing Research Surveys on SNS. 2013 Second IIAI International Conference on Advanced Applied Informatics, pp. 183-186.
  163. Flanagan, B., Yin, C., Suzuki, T., & Hirokawa, S. (2013). Intelligent Computer Classification of English Writing Errors. Intelligent Interactive Multimedia Systems and Services, pp. 174-183.
  164. Flanagan, B., Inokuchi, Y., Yin, C., & Hirokawa, S. (2013). Using Automatically Generated Mind Maps to Promote Initial Communication. Proc. Of AECT International Conference on the Frontier in e-Learning Research, pp. 332-333.
  165. Flanagan, B., Suzuki, T., Zeng, J., Yin, C., Sakai, T., Hashimoto, K., & Hirokawa, S. (2013). Focused search using community search logs. 3rd International Conference on Digital Information Processing and Communications, ICDIPC 2013, pp. 557-563.
  166. Zeng, J., Flanagan, B., Xiong, Q., Wen, J., & Hirokawa, S. (2013). Proposal of seam degree and content similarity for web page segmentation. 2013 Second IIAI International Conference on Advanced Applied Informatics, pp. 9-14.

    167. 2012

  167. Sakai, T., Flanagan, B., Zeng, J., Nakatoh, T., & Hirokawa, S. (2012). Search engine focused on multiple features of scientific articles. 2012 IIAI International Conference on Advanced Applied Informatics, pp. 214-217.
  168. Ninomiya, H., Ito, E., Flanagan, B., & Hirokawa, S. (2012). Near friends communication encouragement system using NFC and SNS. 2012 IIAI International Conference on Advanced Applied Informatics, pp. 145-148.
  169. Yin, C., Hirokawa, S., Flanagan, B., Suzuki, T., & Tabata, Y. (2012). Mistake discovery and generation of exercises automaticity in context. 2012 IIAI International Conference on Advanced Applied Informatics, pp. 163-167.
  170. Ninomiya, H., Ito, E., Flanagan, B., & Hirokawa, S. (2012). Bridging SNS ID and user using NFC and SNS: Design of NFC and SNS based event attendance management system. Anti-counterfeiting, Security, and Identification, pp. 311-315.
  171. Sakai, T., Zeng, J., Flanagan, B., Nakatoh, T., & Hirokawa, S. (2012). Descriminant Words for Problems in Scientific Articles. 2012 IEEE/ACIS 11th International Conference on Computer and Information Science, pp. 267-271.
  172. Sakai, T., Matsushita, M., Flanagan, B., Zeng, J., & Hirokawa, S. (2012). Analysis of influence of Investor Relation Documents to stock price. Proc. of FSKD2012: 9th International Conference on Fuzzy Systems and Knowledge Discovery, pp. 1280-1284.
  173. Zeng, J., Flanagan, B., Sakai, T., & Hirokawa, S. (2012). Extraction of relevant components using shallow structure of HTML documents. 2012 9th International Conference on Fuzzy Systems and Knowledge Discovery, pp. 1186-1190.
  174. Flanagan, B., Yin, C., Hirokawa, S., Sung, H., & Hwang, G. (2012). Analysing Research Trends of Mobile Learning with the Milky Way. 2012 IEEE Seventh International Conference on Wireless, Mobile and Ubiquitous Technology in Education, pp. 249-253.

国内学会、研究会、その他

  1. 瀬戸稔代, フラナガンブレンダン, 戴憶菱, 岡本雅子, & 緒方広明 (2026). 情報処理技術者試験を対象とした適応型学習システム構築のための基礎的分析. 電子情報通信学会教育工学研究会. (優秀研究賞)
  2. Kuromiya, H., Horikoshi, I., Flanagan, B., & Ogata, H. (2023). Capturing External Learning Logs Using xAPI in the LEAF System: Toward Accumulation of Evidence in Face-to-Face Discussions. 情報処理学会全国大会講演論文集, pp. 469-4.
  3. 滝井健介, Flanagan, B., & 緒方広明 (2021). 教育ビッグデータを用いた知識マップの作成とアダプティブ英語学習環境の構築. 教育システム情報学会第46回全国大会.
  4. Ocheja, P., Flanagan, B., & Ogata, H. (2021). Blockchain in Education: Connecting Learning Records and Contents through the Blockchain. Blockchain in Kyoto 2021, the B.E.S.T. Society.
  5. 滝井健介, Flanagan, B., & 緒方広明 (2020). 語彙知識マップを用いた多読用絵本推薦システム. 第32回教育学習支援情報システム研究発表会(CLE32), 2020-CLE-32, pp. 1-6.
  6. 緖方広明, Rwitajit, M., Gökhan, A., & Flanagan, B. (2019). Data-driven Infrastructure for Evidence-based Education and Learning. 2019年度人工知能学会全国大会（第33回）, pp. 33.
  7. Lecailliez, L., Flanagan, B., & Ogata, H. (2019). Construction of a Knowledge Map-based System for Personalized Second Language Learning. 研究報告教育学習支援情報システム（CLE）, 2019-CLE-27(3), pp. 1-5.
  8. Ocheja, P., Flanagan, B., & Ogata, H. (2019). Decentralized e-Learning Marketplace: Managing Authorship and Tracking Access to Learning Materials Using Blockchain. 研究報告教育学習支援情報システム（CLE）, 2019-CLE-27(5), pp. 1-6.
  9. Yang, C.C., Akçapinar, G., Flanagan, B., & Ogata, H. (2019). Ranking Lecture Slides for E-Book Preview Recommendation. 研究報告教育学習支援情報システム（CLE）, 2019-CLE-27(6), pp. 1-6.
  10. Abou Khalil, V., Flanagan, B., & Ogata, H. (2018). Word meaning disambiguation in an online language learning environment. 研究報告教育学習支援情報システム（CLE）, 2018-CLE-25(5), pp. 1-4.
  11. Ocheja, P., Ogata, H., & Flanagan, B. (2018). Connecting Learning Histories of Students Across Different Institutions Using Blockchain. 2018年度人工知能学会全国大会（第32回）, pp. 1-4.
  12. Yang, C.C., Flanagan, B., & Ogata, H. (2018). Connecting Learning Footprints Across Versions within E-Book Reader. 2018年度人工知能学会全国大会（第32回）, pp. 1-4.
  13. Ocheja, P., Flanagan, B., & Ogata, H. (2018). Implementing A Blockchain Based Learning Analytics Platform. 研究報告教育学習支援情報システム（CLE）, 2018-CLE-24(1), pp. 1-6. (情報処理学会 山下記念研究賞)
  14. Abou-Khalil, V., Flanagan, B., & Ogata, H. (2018). Learning what students want to learn. 研究報告教育学習支援情報システム（CLE）, 2018-CLE-24(1), pp. 1-6.
  15. Yang, C., Flanagan, B., & Ogata, H. (2018). Version Control for The Continuity of Learning Footprints Across Versions within E-Book Reader. 研究報告教育学習支援情報システム（CLE）, 2018-CLE-24(1), pp. 1-7.
  16. Flanagan, B., 廣川佐千男, 金子恵美子, & 和泉絵美 (2017). Estimation of the CEFR Proficiency Level of Grammar Item Features by Staggered SVR. 言語処理学会 第23回年次大会, pp. 1176-1179.
  17. Flanagan, B., & 廣川佐千男 (2016). Automatic Extraction and Prediction of Word Order Errors From Language Learning SNS. 言語処理学会 第22回年次大会, pp. 773-776.
  18. 廣川佐千男, Flanagan, B., 金子恵美子, & 和泉絵美 (2016). 機械学習と属性撰択によるスピーキングレベルの識別. 言語処理学会 第22回年次大会, pp. 785-788.
  19. 久保永, 山下貴範, Flanagan, B., 若田好史, 副島秀久, 中島直樹, & 廣川佐千男 (2015). 大腿骨近位部骨折手術の診療記録に対するSVMを用いたテキストマイニングによる術後入院期間の分析. 人工知能と知識処理研究会 (AI) 115(381), pp. 65-69.
  20. Flanagan, B., Hashimoto, K., & Hirokawa, S. (2015). Diachronic analysis of Thick and Thin adjective antonym pair usage in wine tasting notes. 人工知能と知識処理研究会 (AI) 115(381), pp. 77-81.
  21. Flanagan, B., & 廣川佐千男 (2015). 決定木による英語学習者の誤り分類. 電気・情報関係学会九州支部連合大会第68回.
  22. 久保永, 山下貴範, Flanagan, B., 若田好文, 中島直樹, 副島秀久, & 廣川佐千男 (2015). 半構造化された診療記録に対する長期在院患者の推定. 電気・情報関係学会九州支部連合大会第68回.
  23. 足立裕介, 廣川佐千男, 山下貴範, Flanagan, B., & 副島秀久 (2015). 長期在院患者の推定と2つの機械学習手法の比較. 電気・情報関係学会九州支部連合大会第68回.
  24. 山下貴範, 久保永, 足立裕介, 若田好史, Flanagan, B., 副島秀久, 中島直樹, & 廣川佐千男 (2015). 半構造化された診療録からの重要単語による長期在院の推定. 信学技報 115(222)NLC2015-32, pp. 75-79.
  25. 山下貴範, 若田好史, 濱井敏, 中島康晴, 岩本幸英, Flanagan, B., 中島直樹, & 廣川佐千男 (2014). 医療プロセス改善を目的とした手術記録からのテキストマイニングによる重要因子抽出. 第34回医療情報学連合大会論文集 34, pp. 562-565.
  26. 山下貴範, 若田好史, 濱井敏, 中島康晴, 岩本幸英, Flanagan, B., 中島直樹, & 廣川佐千男 (2014). 手術記録から術後在院日数を特徴付ける重要因子抽出モデルの構築. 電子情報通信学会技術研究報告. NLC, 言語理解とコミュニケーション 114(211), pp. 1-6.
  27. 伊東栄典, 殷成久, 中藤哲也, Flanagan, B., & 廣川佐千男 (2013). クラウド型教育環境での検索エンジン構築演習. 電気学会情報システム研究会.
  28. Flanagan, B., 殷成久, 鈴木孝彦, & 廣川佐千男 (2013). 英作文の誤り分類の推定. 火の国情報シンポジウム（情報処理学会研究報告）.

書籍、教科書

  1. 山本章博, 林和則, 田村寛, 原尚幸, 瀧川一学, FLANAGAN, B.J., 植嶋大晃, & 岡本雅子 (2023). 講義実録 統計入門. 現代図書.

講演、シンポジウムなど

  1. Flanagan, B. (2023). Challenges and Opportunities of Educational Data Science for Reading Systems. Theme-based Invited Speaker, ICCE2023. 2023.12.7.
  2. Flanagan, B. (2023). Introduction to Reading Behavior Analytics. LASI2023. 2023.6.6.
  3. Flanagan, B. (2022). Research Topics and Hypotheses: Defining and Managing Expectations, and Handling Results. APSCE Student Wing. 2022.11.28.
  4. Ogata, H., Flanagan, B., & Majumdar, R. (2021). Learning and Evidence Analytics Framework (LEAF): Design and Large-scale Implementation of LA Driven Infrastructure in the Japanese Context. Learning Analytics Learning Network. 2021.5.13.
  5. Hoppe, H.U., & Flanagan, B. (2021). Beyond dashboards – Learning Analytics architectures, techniques and applications. Asia-Pacific Society for Computers in Education. 2021.4.29. (Moderator)
  6. Flanagan, B. (2021). Learning Analytics Platform Analysis of Reading Behavior and Academic Performance in Open-book Assessment. The 7th International Symposium toward the Future of Advanced Researches in Shizuoka University (ISFAR-SU2021), 静岡大学. 2021.3.5.
  7. Flanagan, B. (2021). 教育ビッグデータと AI 技術による教育支援. 学術情報メディアセンターセミナー「教育データの利活用による教育変革：これまでの実践知を踏まえた今後の展望」, 京都大学. 2021.1.19.
  8. Flanagan, B. (2020). Open e-Book Assessmentによる成績評価. 第8回4月からの大学等遠隔授業に関する取組状況共有サイバーシンポジウム, 国立情報学研究所. 2020.5.15.
  9. Flanagan, B., & 黒宮寛之 (2019). ちゃぶ台囲んで膝詰め対話：学びと教えの未来についての研究. 京都大学アカデミックデイ2019、京都大学. 2019.9.15.
  10. Flanagan, B. (2019). LA Platform Knowledge Map Infrastructure. ラーニングアナリティクスによるエビデンスに基づく教育に関する国際シンポジウム, 国際科学イノベーション棟5階 シンポジウムホール. 2019.03.22.
  11. Flanagan, B. (2019). 学びと教えの未来についての研究. 京都大学第13回ICTイノベーション, 京都大学. 2019.2.20.
  12. Flanagan, B., & Li, H. (2018). 学びと教えの未来についての研究. 京都大学アカデミックデイ2018, 京都大学. 2018.9.22.
  13. Flanagan, B. (2018). LMS Independent LA Platform. ラーニングアナリティクスに関するシンポジウム, 京都大学 時計台 百周年記念ホール. 2018.03.22.
  14. Flanagan, B., 金子恵美子, 和泉絵美, & 廣川佐千男 (2016). Mind map using profile information. 学習者コーパスによる英語 CEFR レベル 基準特性の特定と活用に関する総合的研究 研究成果報告シンポジウム, 東京外国語大学アゴラ・グローバル プロメテウス・ホール. 2016.03.06.
  15. Flanagan, B., 金子恵美子, 和泉絵美, & 廣川佐千男 (2016). Grammar profile for spoken learner data. 学習者コーパスによる英語 CEFR レベル 基準特性の特定と活用に関する総合的研究 研究成果報告シンポジウム, 東京外国語大学アゴラ・グローバル プロメテウス・ホール. 2016.03.05.