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ERIC Number: ED560538
Record Type: Non-Journal
Publication Date: 2015-Jun
Pages: 3
Abstractor: As Provided
Reference Count: 14
ISBN: N/A
ISSN: N/A
Who Do You Think I Am? Modeling Individual Differences for More Adaptive and Effective Instruction
Allen, Laura K.
International Educational Data Mining Society, Paper presented at the International Conference on Educational Data Mining (EDM) (8th, Madrid, Spain, Jun 26-29, 2015)
The purpose of intelligent tutoring systems is to provide students with personalized instruction and feedback. The focus of these systems typically rests in the adaptability of the feedback provided to students, which relies on automated assessments of performance in the system. A large focus of my previous work has been to determine how natural language processing (NLP) techniques can be used to model individual differences based on students' natural language input. My proposed research will build on this work by using NLP techniques to develop stealth assessments of students' individual differences and to provide more fine-grained information about the cognitive processes in which these students are engaged throughout the learning task. Ultimately, my aim will be to combine this linguistic data with on-line system data in order to develop more robust student models within ITSs for ill-defined domains. [For complete proceedings, see ED560503.]
International Educational Data Mining Society. e-mail: admin@educationaldatamining.org; Web site: http://www.educationaldatamining.org
Publication Type: Speeches/Meeting Papers; Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: Institute of Education Sciences (ED)
Authoring Institution: International Educational Data Mining Society
IES Funded: Yes
Grant or Contract Numbers: R305A080589