Name
Abstract | ||
|---|---|---|
Learners’ skills decay during gaps in instruction, since they lack the structure and motivation to continue studying. To meet this challenge, the PAL3 system was designed to accompany a learner throughout their career and mentor them to build and maintain skills through: 1) the use of an embodied pedagogical agent (Pal), 2) a persistent learning record that drives a student model which estimates forgetting, 3) an adaptive recommendation engine linking to both intelligent tutors and traditional learning resources, and 4) game-like mechanisms to promote engagement (e.g., leaderboards, effort-based point rewards, unlocking customizations). The design process for PAL3 is discussed, from the perspective of insights and revisions based on a series of formative feedback and evaluation sessions. |
Year | Venue | Field |
|---|---|---|
2016 | FLAIRS Conference | Forgetting,Computer science,Embodied cognition,Artificial intelligence,Engineering design process,Lifelong learning,Multimedia,Machine learning,Formative assessment |
DocType | Citations | PageRank |
Conference | 1 | 0.36 |
References | Authors | |
0 | 13 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| William R. Swartout | 1 | 1710 | 695.25 |
| Benjamin D. Nye | 2 | 57 | 10.62 |
| Arno Hartholt | 3 | 211 | 19.08 |
| Adam Reilly | 4 | 1 | 0.36 |
| Arthur C. Graesser | 5 | 1731 | 200.42 |
| Kurt VanLehn | 6 | 2352 | 417.44 |
| Jon Wetzel | 7 | 53 | 8.07 |
| Matt Liewer | 8 | 1 | 0.70 |
| Fabrizio Morbini | 9 | 155 | 12.30 |
| Brent Morgan | 10 | 12 | 4.68 |
| Lijia Wang | 11 | 1 | 0.70 |
| Grace Benn | 12 | 79 | 4.07 |
| Milton Rosenberg | 13 | 27 | 3.82 |