Data pipelines for educational data mining in distance education
Bibliographic Data
| ID | 21631318 |
|---|---|
| Authors | Rozita Tsoni (0000-0003-1088-7648, Hellenic Open University, corresponding author), Georgia Garani (0000-0003-1892-4183, University of Thessaly), Vassilios S Verykios (0000-0002-9758-0819, Hellenic Open University) |
| Year | 2023 |
| Pages | 1-14 |
| Publication date | 2023-01-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Interactive Learning Environments (JOURNAL) |
| Journal identifiers | ISSN: 1049-4820 • E-ISSN: 1744-5191 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/10494820.2022.2160466 |
| OpenAlex | W4313441760 |
| Language | EN |
| References cited | 39 |
New challenges in education demand effective solutions. Although Learning Analytics (LA), Educational Data Mining (EDM) and the use of Big Data are often presented as a panacea, there is a lot of ground to be covered in order for the EDM to answer the real questions of educators. An important step toward this goal is to implement holistic solutions that allow educational stakeholders to engage in the core of the EDM processes. The effectiveness of such an attempt relies on (a) having access to data arranged in an organized and meaningful way and (b) setting a sequence of processes that are flexible and reusable. Therefore, a data pipeline that imports data from a specially developed data warehouse is designed and created. Additionally, it is tested in real-life data, and results are discussed
Analytics · Big data · Data mining · Data science · Data warehouse · Educational Data Mining · Knowledge management · Learning analytics · Pipeline transport · Computer Science · Data Stream Mining Techniques · Engineering · Online Learning and Analytics · Software System Performance and Reliability
| Citation velocity | historical |
|---|---|
| Highly cited | No |