Name
Abstract | ||
|---|---|---|
Learner-driven subgoal labeling helps learners form a hierarchical structure of solutions with subgoals, which are conceptual units of procedural problem solving. While learning with such hierarchical structure of a solution in mind is effective in learning problem solving strategies, the development of an interactive feedback system to support subgoal labeling tasks at scale requires significant expert efforts, making learner-driven subgoal labeling difficult to be applied in online learning environments. We propose SolveDeep, a system that provides feedback on learner solutions with peer-generated subgoals. SolveDeep utilizes a learnersourcing workflow to generate the hierarchical representation of possible solutions, and uses a graph-alignment algorithm to generate a solution graph by merging the populated solution structures, which are then used to generate feedback on future learners' solutions. We conducted a user study with 7 participants to evaluate the efficacy of our system. Participants did subgoal learning with two math problems and rated the usefulness of system feedback. The average rating was 4.86 out of 7 (1: Not useful, 7: Useful), and the system could successfully construct a hierarchical structure of solutions with learnersourced subgoal labels.
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Year | DOI | Venue |
|---|---|---|
2019 | 10.1145/3290607.3312822 | CHI Extended Abstracts |
Keywords | Field | DocType |
learnersourcing, mathematical problem solving, subgoal labeling, subgoal learning | Online learning,Graph,Computer science,Subgoal labeling,Human–computer interaction,Merge (version control),Workflow,Interactive feedback | Conference |
ISBN | Citations | PageRank |
978-1-4503-5971-9 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hyoungwook Jin | 1 | 0 | 0.34 |
| Minsuk Chang | 2 | 5 | 5.16 |
| Juho Kim | 3 | 632 | 68.72 |