MARC

LEADER 00000nab a2200000uu 4500
001 3170872091
003 UK-CbPIL
022 |a 2227-7102 
022 |a 2076-3344 
024 7 |a 10.3390/educsci15020174  |2 doi 
035 |a 3170872091 
045 2 |b d20250101  |b d20251231 
084 |a 231457  |2 nlm 
100 1 |a Khlaif, Zuheir N  |u Faculty of Humanities and Educational Sciences, An Najah National University, Nablus P4110257, Palestine; <email>beideh@najah.edu</email> 
245 1 |a Redesigning Assessments for AI-Enhanced Learning: A Framework for Educators in the Generative AI Era 
260 |b MDPI AG  |c 2025 
513 |a Journal Article 
520 3 |a The emergence of generative artificial intelligence (Gen AI) in education offers both opportunities and challenges, particularly in the context of student assessment. This study examines faculty members’ motivations to redesign assessments for their courses in the Gen AI era and introduces a framework for this purpose. A qualitative methodology was employed, gathering data through semi-structured interviews and focus groups, along with examples of redesigned assessments. Sixty-one faculty members participated in the study, and the data were analyzed using both deductive and inductive thematic approaches. Key motivations for redesigning assessments included maintaining academic integrity, preparing learners for future careers, adapting to technological advancements, and aligning with institutional policies. However, the study also highlighted significant challenges, such as the need for professional development and addressing equity and accessibility concerns. The findings identified various innovative assessment approaches tailored to the requirements of the Gen AI era. Based on these insights, the study developed a conceptual framework titled “Against, Avoid, Adopt, and Explore”. Future research is needed to validate this framework and further refine its application in educational contexts. 
653 |a Teaching 
653 |a Higher education 
653 |a Collaboration 
653 |a Instructional design 
653 |a Student participation 
653 |a Adaptation 
653 |a Automation 
653 |a Ethics 
653 |a Feedback 
653 |a Generative artificial intelligence 
653 |a Teachers 
653 |a Chatbots 
653 |a Skills 
653 |a Sustainable development 
653 |a Personalized learning 
653 |a Decision making 
653 |a Learning analytics 
653 |a Creativity 
653 |a Literature reviews 
653 |a Critical thinking 
653 |a Authentic Learning 
653 |a Educational Quality 
653 |a Influence of Technology 
653 |a Active Learning 
653 |a Negative Attitudes 
653 |a Learning Processes 
653 |a Class Size 
653 |a Interpersonal Relationship 
653 |a Professional Development 
653 |a Artificial Intelligence 
653 |a Graduate Study 
653 |a Decision Making Skills 
653 |a Educational Assessment 
653 |a Outcomes of Education 
653 |a Problem Solving 
653 |a Learner Engagement 
653 |a Constructivism (Learning) 
653 |a Educational Strategies 
653 |a Educational Principles 
700 1 |a Wejdan Awadallah Alkouk  |u Department of Languages and Translation, Faculty of Humanities, Birzeit University, Bir Zeit P627, Palestine; <email>wkook@birzeit.edu</email> 
700 1 |a Salama, Nisreen  |u Faculty of Nursing, Arab American University, Jenin P.O. Box 840009, Palestine; <email>nisreen.salama@aaup.edu</email> 
700 1 |a Belal Abu Eideh  |u Faculty of Humanities and Educational Sciences, An Najah National University, Nablus P4110257, Palestine; <email>beideh@najah.edu</email> 
773 0 |t Education Sciences  |g vol. 15, no. 2 (2025), p. 174 
786 0 |d ProQuest  |t Education Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3170872091/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full Text + Graphics  |u https://www.proquest.com/docview/3170872091/fulltextwithgraphics/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3170872091/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch