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Kong Chen; April C. Tallant; Ian Selig – Information and Learning Sciences, 2025
Purpose: Current knowledge and research on students' utilization and interaction with generative artificial intelligence (AI) tools in their academic work is limited. This study aims to investigate students' engagement with these tools. Design/methodology/approach: This research used survey-based research to investigate generative AI literacy…
Descriptors: Artificial Intelligence, Higher Education, College Students, Technology Integration
Emmanuel Senior Tenakwah; Gideon Boadu; Emmanuel Junior Tenakwah; Michael Parzakonis; Mark Brady; Penny Kansiime; Shannon Said; Sarah Eyaa; Raymond Kwojori Ayilu; Ciprian Radavoi; Alan Berman – Knowledge Management & E-Learning, 2025
The development and introduction of AI language models have transformed the way humans and institutions interact with technology, enabling natural and intuitive communication between humans and machines. This paper conducts a competence-based analysis of ChatGPT's task responses to provide insights into its language proficiency, critical analysis…
Descriptors: Higher Education, Evaluation Methods, Artificial Intelligence, Computer Software
Suzanne Estaphan; David Kramer; Harry J. Witchel – Advances in Physiology Education, 2025
The rise of artificial intelligence (AI) is transforming educational practices, particularly in assessment. While AI may support the students in idea generation and summarization of source materials, it also introduces challenges related to content validity, academic integrity, and the development of critical thinking skills. Educators need…
Descriptors: Artificial Intelligence, Assignments, Student Evaluation, Computer Literacy
Kathleen M. Quinlan; Guadalupe Sellei; Wissia Fiorucci – Teaching in Higher Education, 2025
With increasing calls for authentic assessment in higher education, the reference point for authenticity has been questioned. Typically, researchers define authenticity in relation to purposes of higher education, which are contested. Advancing the notion of educational authenticity rather than professional, societal, disciplinary, or…
Descriptors: Educational Assessment, Performance Based Assessment, Learner Engagement, Higher Education
Meghan Velez; Zackery Reed; Darryl Chamberlain; Cihan Aydiner – Thresholds in Education, 2025
In fewer than two years, generative artificial intelligence (GenAI) has transformed the educational experience for both students and faculty. Writing feedback and evaluation tools like MyEssayFeedback, EssayGrader, and Markr have been released with the promise that faculty will be able to focus more on teaching than simply grading. However, the…
Descriptors: Writing Across the Curriculum, Artificial Intelligence, Feedback (Response), Scores
Hannah G. Healy; Sarah Manchanda; Kara L. Nelson – Advances in Engineering Education, 2025
Universal design for learning (UDL) is a pedagogical framework intended to promote accessibility and equity in learning environments, especially for students with disabilities. In UDL, instructors provide optionality and flexibility in the learning environment for representation, engagement, and expression, rather than expecting the learner to…
Descriptors: Access to Education, Educational Principles, Graduate Students, Engineering Education
Jamie K. Opper – Teaching of Psychology, 2025
Introduction: As higher education continues to prioritize diversity, equity, and inclusion (DEI), cognitive/behavioral neuroscience and other physiologically based psychology courses may face challenges incorporating DEI issues into the curriculum relative to other subfields of psychology. Statement of the Problem: Instructors of these courses may…
Descriptors: Cognitive Science, Behavioral Sciences, Neurosciences, Psychology
Madison A. Pollino; Elliot A. Powell; Melissa L. McCormick – Communication Teacher, 2025
This article offers a semester-long approach to using generative AI in the public-speaking course. Using critical communication pedagogy, the authors provide practices to navigate the turbulence that has followed the emergence of publicly available generative AI tools. These tools have received negative attention because of their potential to…
Descriptors: Artificial Intelligence, Natural Language Processing, Public Speaking, Technology Uses in Education
Claudia Calle Müller; Mohamed ElZomor – Journal of Civil Engineering Education, 2025
Mental health is a cornerstone of overall well-being, significantly impacting various facets of daily life, including academic success. The rising prevalence of mental health conditions among tertiary students is concerning, with 42% experiencing anxiety and/or depression and 38% receiving a mental health diagnosis in the United States.…
Descriptors: Mental Health, Academic Achievement, Building Trades, Engineering Education
Yabing Jiang; Kazuo Nakatani – Journal of Information Systems Education, 2025
This research answers the call for Information Systems (IS) faculty to actively embrace rapidly advancing AI tools in teaching. We experimented with redesigning learning activities in two courses, requiring students to use GenAI, to aid student learning and teach responsible use of GenAI. The results show that students in the experimental group…
Descriptors: Teaching Methods, Technology Integration, Artificial Intelligence, Higher Education
David B. Nelson; Anaelle Emma Gackiere; Samantha Elizabeth LeGrand; Daniel A. Guberman – Thresholds in Education, 2025
In response to the significant disruption posed by emergent AI technology, we propose a four part framework for teaching and learning practice and development. Rather than focus on the specific technologies of the moment, this framework provides actionable suggestions for individuals with varying views of AI and its positive and negative…
Descriptors: Teaching Methods, Learning Processes, Algorithms, Artificial Intelligence