Evidence-based Teaching and Research in AI

This presentation explores using Evidence-Based Instruction (EBI) in AI education to enhance learning through active strategies like coding exercises and collaborative projects. It addresses challenges such as curriculum relevance, academic integrity, and preparing students for evolving careers. Personal insights highlight AI’s role in inclusive learning, content creation, and research.

Publication Details

Journal
OPUS - Open Portal to University Scholarship (Governors State University)
Published
2024-10-30
Primary Topic
Intelligent Tutoring Systems and Adaptive Learning
Type
article
Field-Weighted Citation Impact
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article

Evidence-based Teaching and Research in AI

OPUS - Open Portal to University Scholarship (Governors State University)
Intelligent Tutoring Systems and Adaptive Learning
article

Evidence-based Teaching and Research in AI

article en

Abstract

This presentation explores using Evidence-Based Instruction (EBI) in AI education to enhance learning through active strategies like coding exercises and collaborative projects. It addresses challenges such as curriculum relevance, academic integrity, and preparing students for evolving careers. Personal insights highlight AI’s role in inclusive learning, content creation, and research.

OPUS - Open Portal to University Scholarship (Governors State University)
Quality Education
Openalex Percentile: Top 56%
Intelligent Tutoring Systems and Adaptive Learning
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Evidence-based Teaching and Research in AI · OPUS - Open Portal to University Scholarship (Governors State University) (2024) | TGRS Research Map | TGRS