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Developing a Learning Data Collection Platform for Learning Analytics in Online Education
| Content Provider | MDPI |
|---|---|
| Author | Pak, Jugeon Lee, Joohwa Lee, Myung Suk |
| Copyright Year | 2022 |
| Description | During the COVID-19 pandemic, most education has been conducted through online classes. While feedback and interaction between students and instructors are significant in programming education or engineering practice, online education today cannot satisfy these aspects of learning. Therefore, this study proposes a learning support system for programming education and presents the results of designing and implementing this system. The proposed system consists of an online development environment module, a learning monitoring module, and a learning support module. It also provides a web-based programming environment, real-time chat and code mirroring, error guide messages and related lectures, e-learning quizzes, and learning activity analysis features. The system standardizes the development environment between the instructor and students, helps students take the initiative in solving errors, and enables code-oriented interactions between the instructor and students. It also collects data from all learning situations in the database. Conducting a big data analysis with the collected data will enable individual guidance for students by finding errors that frequently occur in programming and recommending learning materials to solve them. |
| Starting Page | 5412 |
| e-ISSN | 20763417 |
| DOI | 10.3390/app12115412 |
| Journal | Applied Sciences |
| Issue Number | 11 |
| Volume Number | 12 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2022-05-26 |
| Access Restriction | Open |
| Subject Keyword | Applied Sciences Information and Library Science Online Education Learning Analytics Programming Education Data Collection Platform Learning Data |
| Content Type | Text |
| Resource Type | Article |
