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Marianne Miserandino – Teaching of Psychology, 2025
Introduction: Artificial intelligence (AI) presents challenges and opportunities for higher education. The challenge is to incorporate the benefits of AI while minimizing its potential for misuse and undermining of learning. The opportunity is that AI allows instructors to assess learning authentically by fostering creative, engaging, realistic,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Evaluation Methods, Undergraduate Study
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Jeff Hanson; Blair Taylor; Siddharth Kaza – Information Systems Education Journal, 2025
Cybersecurity content is typically taught and assessed using Bloom's Taxonomy to ensure that students acquire foundational and higher-order knowledge. In this study we show that when students are given the objectives written in the form of a competency-based statements, students have a more clearly defined outcome and are be able to exhibit their…
Descriptors: College Students, Universities, Competency Based Education, Educational Objectives
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Marwa Eltanahy; Nasser Mansour – Innovations in Education and Teaching International, 2025
The increasing emphasis on a competency-based learning approach in entrepreneurial-STEM (E-STEM) necessitates competency-based assessment tools to track students' entrepreneurial development and enhance the quality of E-STEM projects. This study aims to create a valid analytical rubric for assessing students' E-STEM competencies. Using a…
Descriptors: Scoring Rubrics, Student Evaluation, Competence, Entrepreneurship