报告详情
An Intelligent Rule-Based OBE Framework for Learning Outcomes Monitoring, Analytics, and AI-Agent Accreditation Readiness Evaluation
编号：43
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更新：2026-10-04 23:24:16 浏览：15次
Online
报告开始：2026年10月13日 15:00（Asia/Ho_Chi_Minh）
报告时间：15min
所在会场：[S5] Track 5: Emerging Trends of AI/ML [S5-6] Track 5: Emerging Trends of AI/ML
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摘要
Outcome-Based Education requires higher education institutions to demonstrate systematic attainment of course and program outcomes and to use the evidence for continuous improvement. In practice, outcomes data and accreditation documents are often maintained in disconnected spreadsheets and repositories, producing delayed, inconsistent, and difficult-to-audit reports. This paper proposes an intelligent rule-based OBE framework that integrates Course Outcome-Program Outcome mapping, attainment computation, learning analytics, and AI-agent-assisted accreditation readiness evaluation. Transparent institutional rules classify outcomes as achieved, partially achieved, or not achieved, while an AI module analyzes Self-Survey Reports and supporting evidence against uploaded accreditation standards. The AI generates criterion-linked strengths, gaps, readiness rationales, and recommendations but does not make final accreditation decisions. The planned Design and Development Research uses iterative prototyping, expert benchmarking, inter-rater agreement, classification metrics, explainability review, and an ISO/IEC 25010-based system evaluation involving IT experts and academic administrators. The framework is intended to provide an auditable, privacy-aware, and human-governed decision-support environment for OBE, quality assurance, and accreditation preparation.
关键词
accreditation readiness, explainable artificial intelligence, learning analytics, learning outcomes, Outcome-Based Education, rule-based systems
报告人
Valerie Vanessa Majadas
Full time Faculty FEU Institute of Technology稿件作者
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重要日期
-
会议日期
10月11日
2026
至10月14日
2026
-
12月30日 2025
报告提交截止日期
-
09月28日 2026
提前注册日期
-
10月10日 2026
初稿截稿日期
-
10月14日 2026
注册截止日期
主办单位
United Societies of Science
承办单位
Posts and Telecommunications Institute of Technology
协办单位
IEEE Section
IEEE Vietnam Section
IEEE Vietnam Section
联系方式
- ASIANComNet 2026
- as******@usssociety.org
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