Name
Abstract | ||
|---|---|---|
The advanced learning analytics research of the last years converges with the industry demand to enhance famous learning management systems with learning analytics capabilities promoting the efficiency of higher education. The exploitation of big volume learning data, is a critical challenge for the design of personalized curricula and learning experiences. The purpose of this research paper is to communicate a framework for Learning Analytics aiming to support the integrated management of end-to-end learning data. We present the research foundations of a research prototype for the integration of a Learning Analytics Dashboard: The AMBA Prototype with famous Learning Management Systems. Finally, we present the main findings of an empirical study that proves the capacity of learning analytics to enhance the learners' ecosystem with value adding learning services. The proposed framework exploits cognitive computing for the enhancement of decision making in education by proving the capacity of Learning Analytics to reveal hidden patterns of learners’ behaviour and attitude. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.chb.2018.03.035 | Computers in Human Behavior |
Keywords | Field | DocType |
Learning analytics,Learning management systems,Learning framework,Blackboard,Cognitive computing | Learning Management,Learning analytics,Psychology,Knowledge management,Curriculum,Integrated management,Analytics,Cognitive computing,Empirical research,Higher education | Journal |
Volume | ISSN | Citations |
92 | 0747-5632 | 1 |
PageRank | References | Authors |
0.35 | 23 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Naif Radi Aljohani | 1 | 159 | 27.35 |
| Ali Daud | 2 | 313 | 30.17 |
| Rabeeh Abbasi | 3 | 135 | 15.82 |
| Jalal S. Alowibdi | 4 | 134 | 13.61 |
| Mohammed Basheri | 5 | 9 | 5.21 |
| Muhammad Ahtisham Aslam | 6 | 21 | 4.00 |