Abstract
As a variant of the sharing economy, Communities of Practice (CoP) platforms have allowed kinesthetic learners to acquire skillsets corresponding to their interests for immediate or future use in practice. However, the impact of digital learning content design on kinesthetic learning remains underexplored in the field of information systems. We hence extend prior research by advancing content richness and structure clarity as antecedents affecting kinesthetic learners’ digestibility of contents, culminating in differential kinesthetic learning effects. To substantiate our arguments, we collected data from a leading Chinese recipe sharing platform. Whereas content richness was measured in terms of readability, verb richness, and prototypicality, structure clarity was operationalized as block structure, block quantity, and block regularity. Employing a machine learning model, we simulated and tested learners’ digestibility of image content embodied within recipes. Plans for future research beyond the current study are also discussed.
Original language | English |
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Title of host publication | Proceedings of the 56th Hawaii International Conference on System Sciences |
Editors | Tung X. Bui |
Number of pages | 10 |
Place of Publication | Honolulu |
Publisher | Hawaii International Conference on System Sciences (HICSS) |
Publication date | 2023 |
Pages | 626-635 |
ISBN (Electronic) | 9780998133164 |
DOIs | |
Publication status | Published - 2023 |
Event | The 56th Hawaii International Conference on System Sciences. HICSS 2023 - Lahaina, United States Duration: 3 Jan 2023 → 6 Jan 2023 Conference number: 56 https://hicss.hawaii.edu/ |
Conference
Conference | The 56th Hawaii International Conference on System Sciences. HICSS 2023 |
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Number | 56 |
Country/Territory | United States |
City | Lahaina |
Period | 03/01/2023 → 06/01/2023 |
Internet address |
Series | Proceedings of the Annual Hawaii International Conference on System Sciences |
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ISSN | 1060-3425 |
Keywords
- Online communities of practice
- Kinesthetic learning
- Content richness
- Structure clarity