MentorMatch: Using student mentors to scaffold participation and learning within an online discussion board

Authors:
Erin Shaw;Jihie Kim;Pachara Supanakoon
Affiliations:
Information Sciences Institute, University of Southern California, CA USA;Information Sciences Institute, University of Southern California, CA USA;Information Sciences Institute, University of Southern California, CA USA
Venue:
Proceedings of the 2009 conference on Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling
Year:
2009

Citing 5
Cited 0

Automatic text processing: the transformation, analysis, and retrieval of information by computer

Automatic text processing: the transformation, analysis, and retrieval of information by computer
Profiling Student Interactions in Threaded Discussions with Speech Act Classifiers

Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
Novel Tools for Assessing Student Discussions: Modeling threads and participant roles using speech act and course topic analysis

Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
Towards modeling threaded discussions using induced ontology knowledge

AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Analyzing entities and topics in news articles using statistical topic models

ISI'06 Proceedings of the 4th IEEE international conference on Intelligence and Security Informatics

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we present a novel approach to scaffolding student participation and learning within discussion forums using student mentors, i.e., course peers with relatively good understanding of a particular domain topic. First, we identify mentors using domain topic models, student discussion profiles, and a similarity comparison of the topics being discussed. Second, we provide an interface that encourages classmates to invite mentors to participate. The feature, named MentorMatch, was integrated into an undergraduate course discussion board. Some results are reported.