2021 Fiscal Year Research-status Report
Learning Support by Novel Modality Process Analysis of Educational Big Data
| Project/Area Number |
21K19824
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| Research Institution | Kyoto University |
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Principal Investigator |
Flanagan Brendan 京都大学, 学術情報メディアセンター, 特定講師 (00807612)
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| Co-Investigator(Kenkyū-buntansha) |
久富 望 京都大学, 教育学研究科, 助教 (70825992)
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| Project Period (FY) |
2021-07-09 – 2023-03-31
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| Keywords | Modality analysis / Learning process / Learning Analytics / Recommendation |
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| Outline of Annual Research Achievements |
Preliminary analysis of pen strokes as one of the learner modalities indicated that learners could be clustered into different groups, however it was unclear if pedagogical meaning could be interpreted from the results. This presented a problem for when feedback was given to teachers, so a method of students annotating the answering process with self-explanation was combined to identify stuck points. Using this analysis, a feedback interface to inform students was developed, implemented and the results were disseminated as an international conference paper. The overall cycle of the system was also conceptualized in an international conference paper in the context of a feedback process where students were recommended additional tasks based on identified stuck points.
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| Current Status of Research Progress |
Current Status of Research Progress
2: Research has progressed on the whole more than it was originally planned.
Reason
The project is proceeding as planned with several results already published, however the continuing restrictions from the Covid pandemic can present challenges when conducting experiments in schools and planning to disseminate results at international conferences.
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| Strategy for Future Research Activity |
The project will continue to focus analysis on two main sub-themes: the behavioral data from students inputting answers (pen stroke and keyboard/text input, etc) and annotated metadata of the input (self-explanations of the answering process, etc). While the results of the current research have been used to inform recommendation of learning tasks, further analysis results features should be tightly integration to produce more target recommendations. Development of the feedback interface will continue to further improve the usability for learners and teachers.
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| Causes of Carryover |
While the project progressed smoothly, the continuing restrictions from the Covid pandemic have caused delays in purchasing of goods/services that would incur article and travel costs. We anticipate as the restrictions and delays ease that the project will be able to continue as planned in the next fiscal year.
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