Abstract | ||
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ABSTRACTAdaptive Collaborative Learning Support (ACLS) systems improve collaboration and learning for students over individual work or collaboration with non-adaptive support. However, many ACLS systems are ill-suited for rural contexts where students often need multiple kinds of support to complete tasks, may speak languages unsupported by the system, and require more than pre-assigned tutor-tutee student pairs for more equitable learning. We designed an intervention that fosters more equitable help-seeking by automatically detecting student struggles and prompts them to seek help from specific peers that can help. We conducted a mixed-methods experimental study with 98 K-3 students in a rural village in Tanzania over a one-month period, evaluating how the system affects student interactions, system engagement, and student learning. Our intervention increased student interactions by almost 4 times compared to the control condition, increased domain knowledge interactions, and propelled students to engage in more cognitively challenging activities. |
Year | DOI | Venue |
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2021 | 10.1145/3411764.3445144 | Conference on Human Factors in Computing Systems |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Judith Odili Uchidiuno | 1 | 11 | 1.74 |
Jessica Hammer | 2 | 68 | 25.95 |
Kenneth R. Koedinger | 3 | 3551 | 403.07 |
Amy E. Ogan | 4 | 267 | 31.42 |