Supplementary
-
Citations:
- Appears in Collections:
Conference Paper: Automated MOOC/SPOC Learning Design Verification based on Instructional Design Theories
Title | Automated MOOC/SPOC Learning Design Verification based on Instructional Design Theories |
---|---|
Authors | |
Keywords | Instructional design Verification Visualization MOOC SPOC |
Issue Date | 2019 |
Publisher | Society for Learning Analytics Research (SoLAR) |
Citation | Companion Proceedings 9th International Conference on Learning Analytics & Knowledge (LAK19), Tempe, Arizona, USA, 4-8 March 2019, p. 656-665 How to Cite? |
Abstract | Teachers often work with course development teams to implement MOOCs and SPOCs. However, existing MOOC instructional quality analysis often requires manual effort and is not supported by instructional design theories. In this paper, we propose an automated MOOC/SPOC learning design verification mechanism based on instructional design theories. The mechanism can quickly visualize the courseware with faulty or at-risk designs that may cause obstacles for learners, which allows just-in-time revisions. The mechanism can facilitate the process of verifying the course design and assessing the quality of the course, and eventually minimize learning hurdles encountered by learners. |
Description | LAK 19 Workshop - Extracting evidence in the context of MOOCs |
Persistent Identifier | http://hdl.handle.net/10722/276289 |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lei, CU | - |
dc.contributor.author | Hou, X | - |
dc.contributor.author | Wang, J | - |
dc.contributor.author | Guo, Y | - |
dc.date.accessioned | 2019-09-10T02:59:54Z | - |
dc.date.available | 2019-09-10T02:59:54Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | Companion Proceedings 9th International Conference on Learning Analytics & Knowledge (LAK19), Tempe, Arizona, USA, 4-8 March 2019, p. 656-665 | - |
dc.identifier.uri | http://hdl.handle.net/10722/276289 | - |
dc.description | LAK 19 Workshop - Extracting evidence in the context of MOOCs | - |
dc.description.abstract | Teachers often work with course development teams to implement MOOCs and SPOCs. However, existing MOOC instructional quality analysis often requires manual effort and is not supported by instructional design theories. In this paper, we propose an automated MOOC/SPOC learning design verification mechanism based on instructional design theories. The mechanism can quickly visualize the courseware with faulty or at-risk designs that may cause obstacles for learners, which allows just-in-time revisions. The mechanism can facilitate the process of verifying the course design and assessing the quality of the course, and eventually minimize learning hurdles encountered by learners. | - |
dc.language | eng | - |
dc.publisher | Society for Learning Analytics Research (SoLAR) | - |
dc.relation.ispartof | 9th International Conference on Learning Analytics & Knowledge (LAK19) | - |
dc.subject | Instructional design | - |
dc.subject | Verification | - |
dc.subject | Visualization | - |
dc.subject | MOOC | - |
dc.subject | SPOC | - |
dc.title | Automated MOOC/SPOC Learning Design Verification based on Instructional Design Theories | - |
dc.type | Conference_Paper | - |
dc.identifier.email | Lei, CU: culei@hku.hk | - |
dc.identifier.email | Hou, X: hxiangyu@hku.hk | - |
dc.identifier.email | Wang, J: wjq1015@hku.hk | - |
dc.identifier.email | Guo, Y: yxguo@hku.hk | - |
dc.identifier.authority | Lei, CU=rp01908 | - |
dc.description.nature | published_or_final_version | - |
dc.identifier.hkuros | 303010 | - |
dc.identifier.spage | 656 | - |
dc.identifier.epage | 665 | - |
dc.publisher.place | Tempe, Arizona, USA | - |