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- Publisher Website: 10.1109/ICALT61570.2024.00030
- Scopus: eid_2-s2.0-85203807481
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Conference Paper: Preliminary Evaluation of Learning Analytics Dashboard for College Teachers' Online Professional Learning
Title | Preliminary Evaluation of Learning Analytics Dashboard for College Teachers' Online Professional Learning |
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Authors | |
Keywords | learning analytics dashboard preliminary evaluation teacher online professional learning |
Issue Date | 2024 |
Citation | Proceedings - 2024 IEEE International Conference on Advanced Learning Technologies, ICALT 2024, 2024, p. 83-85 How to Cite? |
Abstract | Widely accessible online courses provide a feasible platform for teachers' continuous online professional learning. The learning analytics dashboard (LAD) provides fine-grained and actionable feedback that supports learners' self-regulated learning. However, previous studies on LAD design and evaluation predominantly focused on student-facing LADs, with scarce attention on LADs designed for teacher-learners. This study introduces the LAD in an online learning platform for college teachers and conducts a preliminary evaluation with 18 participants. Results show their largely positive ratings on five criteria (e.g., perceived usefulness, ease of use, and behavioral changes) and offer feedback for further refinements of the LAD. This study will improve our understanding of LA-enabled teacher online professional learning and provide practical implications for designing and evaluating LA tools catered to teacher-learners. |
Persistent Identifier | http://hdl.handle.net/10722/352473 |
DC Field | Value | Language |
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dc.contributor.author | Wang, Chao | - |
dc.contributor.author | Ng, Jeremy Tzi Dong | - |
dc.contributor.author | López, Nora Patricia Hernández | - |
dc.contributor.author | Hu, Xiao | - |
dc.date.accessioned | 2024-12-16T03:59:17Z | - |
dc.date.available | 2024-12-16T03:59:17Z | - |
dc.date.issued | 2024 | - |
dc.identifier.citation | Proceedings - 2024 IEEE International Conference on Advanced Learning Technologies, ICALT 2024, 2024, p. 83-85 | - |
dc.identifier.uri | http://hdl.handle.net/10722/352473 | - |
dc.description.abstract | Widely accessible online courses provide a feasible platform for teachers' continuous online professional learning. The learning analytics dashboard (LAD) provides fine-grained and actionable feedback that supports learners' self-regulated learning. However, previous studies on LAD design and evaluation predominantly focused on student-facing LADs, with scarce attention on LADs designed for teacher-learners. This study introduces the LAD in an online learning platform for college teachers and conducts a preliminary evaluation with 18 participants. Results show their largely positive ratings on five criteria (e.g., perceived usefulness, ease of use, and behavioral changes) and offer feedback for further refinements of the LAD. This study will improve our understanding of LA-enabled teacher online professional learning and provide practical implications for designing and evaluating LA tools catered to teacher-learners. | - |
dc.language | eng | - |
dc.relation.ispartof | Proceedings - 2024 IEEE International Conference on Advanced Learning Technologies, ICALT 2024 | - |
dc.subject | learning analytics dashboard | - |
dc.subject | preliminary evaluation | - |
dc.subject | teacher online professional learning | - |
dc.title | Preliminary Evaluation of Learning Analytics Dashboard for College Teachers' Online Professional Learning | - |
dc.type | Conference_Paper | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/ICALT61570.2024.00030 | - |
dc.identifier.scopus | eid_2-s2.0-85203807481 | - |
dc.identifier.spage | 83 | - |
dc.identifier.epage | 85 | - |