Name
Abstract | ||
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Numerous how-to tutorials and videos are pre-produced and archived for future learners' self-paced online learning. However, the co-presence of instructor and potential learners is missing when experts pre-produce how-to tutorials or videos offline. Hence, the content being shared by experts may not meet future learners' needs. To ensure the instructional value of archived tutorials for future learners, we explored ways to improve content production by analyzing interactive social prompts from a social partner during the time when experts share knowledge. We paired experts with partners of varying expertise and asked them to freely interact with the experts along the process. To simulate sharing knowledge via video-recording, a cooking task was deployed and we asked cooking experts to think-aloud while executing a cooking task with feedback from one of three types of paired partners, including another cooking expert, a novice, or no partner. This study identified six types of social prompts that can inform the design of computer-mediated knowledge sharing. Moreover, content quality was rated and evaluated, which shows that the best when knowledge was shared with the aid of expert's prompts. This study provides understanding of how various types of social prompts affect the externalization of how-to knowledge for asynchronous knowledge transfer between experts and future learners.
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Year | DOI | Venue |
|---|---|---|
2019 | 10.1145/3311957.3359460 | Conference Companion Publication of the 2019 on Computer Supported Cooperative Work and Social Computing |
Keywords | DocType | ISBN |
asynchronous knowledge transfer, computer-mediated knowledge sharing, expert, knowledge sharing, novice, social prompts | Conference | 978-1-4503-6692-2 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chi-Lan Yang | 1 | 8 | 4.91 |
| Hao-Chuan Wang | 2 | 296 | 45.80 |