Development of an Assignment Randomization Program to Improve Student Performance
Project/Area Number |
22K02932
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Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Multi-year Fund |
Section | 一般 |
Review Section |
Basic Section 09070:Educational technology-related
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Research Institution | Sojo University |
Principal Investigator |
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Co-Investigator(Kenkyū-buntansha) |
ハーシェル ロバート 崇城大学, SILC, 准教授 (60458651)
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Project Period (FY) |
2022-04-01 – 2025-03-31
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Project Status |
Granted (Fiscal Year 2023)
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Budget Amount *help |
¥4,030,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥930,000)
Fiscal Year 2024: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2023: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2022: ¥2,470,000 (Direct Cost: ¥1,900,000、Indirect Cost: ¥570,000)
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Keywords | Online learning / Moodle / Scheduling / Content management / plugin / Content Management / Plugin / Drip Release / Randomization / Incremental Study / LMS / Quiz |
Outline of Research at the Start |
Previous research has shown an increase in online assignments, particularly during the COVID-19 pandemic. As with traditional assignments, however, academic integrity remains a concern. Designing effective online assignments is also time-consuming. Assignment randomization programs developed for subjects such as math and business have been shown to reduce cheating and improve academic performance. No such randomization programs exist for subjects such as social sciences and language education. Frequent engagement in activities has shown to increase student engagement and performance.
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Outline of Annual Research Achievements |
In the 2023 fiscal year, the plugin was developed to include new features. Group Allocation, First Checked (From the list of quiz instances, the plugin will affect only the quizzes following the first checked quiz). Stay Available after Finish (Quizzes are available after their final deadline has passed.) and Reset (Clear all data).
The accumulation of these features resulted in the release of an updated plugin, version 1.01, which is available to the public, GitHub(https://github.com/marcusgreen/moodle-tool_driprelease).
We gave presentations at JALT CALL 2023, JALT International Conference 2023, , and Moodle Moot 2024. Were able to give an in-person presentation with the developer and received feedback from other developers and potential users.
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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 plugin is available to the public in the form of v1.01. We have tested the plugin in our own sites, and other educators at other institutions are currently utilizing the plugin, and we are receiving feedback. There are some minor bugs within the plugin at the moment, however, these are not function breaking, so will be addressed at a later stage. We are scheduled to present our research at JALT CALL 2024, Nagoya, and we will be applying to other appropriate conferences as they become available. We will be further implementing the plugin into live courses for further testing and development in the coming semesters.
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Strategy for Future Research Activity |
The 2024 fiscal year will mainly focus on addressing the feasibility of a second plugin to add a randomization function to a similar version of the DripRelease plugin. We will be consulting with our developer regarding this. For the current plugin, we aim to promote awareness of its features, address any minor bugs, and to add further functions to make it more appealing and utilizable to a wider audience. We will also be attending conferences to gain insight to possible other uses for the plugin.
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Report
(2 results)
Research Products
(6 results)