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  • Community college information technology education: Curriculum mapping, a learning science framework, and AI learning technologies.
Title: Community college information technology education: Curriculum mapping, a learning science framework, and AI learning technologies.
Abstract. Most jobs in the digital economy require 4-year university degrees, excluding many community college students. To help these students join the digital economy, our project team is developing AI-based learning technology using a novel approach. First, we employ curriculum mapping to analyze courses and identify knowledge components (KCs) that are positioned to impact student outcomes. We triangulate our results using student learning data and expert-provided qualitative assessment. We then employ the Knowledge, Learning and Instruction framework to align KCs with individual tutoring and collaborative learning. This analysis is guiding us in developing intelligent tutors and collaborative learning technology, empirically-tested forms of AI-based learning technology, to support IT students. In this paper, we describe our innovative approach and results thus far.  more » « less
Award ID(s):
2222762
PAR ID:
10545601
Author(s) / Creator(s):
; ; ; ; ; ; ; ; ; ;
Publisher / Repository:
AERA 2024, the 2024 Annual Meeting of American Educational Research Association (AERA)
Date Published:
Format(s):
Medium: X
Location:
AERA 2024, the 2024 Annual Meeting of American Educational Research Association (AERA). Philadelphia, PA, April 11-14, 2024
Sponsoring Org:
National Science Foundation
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