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.
Original language | English (US) |
---|---|
Title of host publication | Proceedings of the 29th International Florida Artificial Intelligence Research Society Conference, FLAIRS 2016 |
Publisher | AAAI Press |
Pages | 491-496 |
Number of pages | 6 |
ISBN (Electronic) | 9781577357568 |
State | Published - 2016 |
Event | 29th International Florida Artificial Intelligence Research Society Conference, FLAIRS 2016 - Key Largo, United States Duration: May 16 2016 → May 18 2016 |
Other
Other | 29th International Florida Artificial Intelligence Research Society Conference, FLAIRS 2016 |
---|---|
Country | United States |
City | Key Largo |
Period | 5/16/16 → 5/18/16 |
ASJC Scopus subject areas
- Software
- Artificial Intelligence
- Computer Networks and Communications