Developing a Learning Data Collection Platform for Learning Analytics in Online Education
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 s...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-05-01
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| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/12/11/5412 |
| _version_ | 1797494258591072256 |
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| author | JuGeon Pak JooHwa Lee MyungSuk Lee |
| author_facet | JuGeon Pak JooHwa Lee MyungSuk Lee |
| author_sort | JuGeon Pak |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-10T01:31:46Z |
| format | Article |
| id | doaj.art-8c914a1e6f114edf99d7bb25f15d71b1 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T01:31:46Z |
| publishDate | 2022-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-8c914a1e6f114edf99d7bb25f15d71b12023-11-23T13:41:16ZengMDPI AGApplied Sciences2076-34172022-05-011211541210.3390/app12115412Developing a Learning Data Collection Platform for Learning Analytics in Online EducationJuGeon Pak0JooHwa Lee1MyungSuk Lee2Tabula Rasa College, Keimyung University, Daegu 42601, KoreaDepartment of Computer Engineering, Keimyung University, Daegu 42601, KoreaTabula Rasa College, Keimyung University, Daegu 42601, KoreaDuring 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.https://www.mdpi.com/2076-3417/12/11/5412online educationlearning analyticsprogramming educationdata collectionplatformlearning data |
| spellingShingle | JuGeon Pak JooHwa Lee MyungSuk Lee Developing a Learning Data Collection Platform for Learning Analytics in Online Education Applied Sciences online education learning analytics programming education data collection platform learning data |
| title | Developing a Learning Data Collection Platform for Learning Analytics in Online Education |
| title_full | Developing a Learning Data Collection Platform for Learning Analytics in Online Education |
| title_fullStr | Developing a Learning Data Collection Platform for Learning Analytics in Online Education |
| title_full_unstemmed | Developing a Learning Data Collection Platform for Learning Analytics in Online Education |
| title_short | Developing a Learning Data Collection Platform for Learning Analytics in Online Education |
| title_sort | developing a learning data collection platform for learning analytics in online education |
| topic | online education learning analytics programming education data collection platform learning data |
| url | https://www.mdpi.com/2076-3417/12/11/5412 |
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