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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
Justin F. Shaffer – Chemical Engineering Education, 2024
High structure course design involves scaffolding students' learning via pre-class content acquisition and assessment, in-class active learning exercises, after-class review and assessment, and frequent summative assessments. Research has demonstrated the efficacy of high structure courses including improved student performance, reduced…
Descriptors: Program Design, Chemical Engineering, Instructional Design, Scaffolding (Teaching Technique)
Dimitrije Curcic – International Journal of Technology in Education and Science, 2024
Within digital drawing courses, students are immersed in the utilization of software tools and technological advancements to craft a diverse array of artwork, illustrations, graphics, and animations, adhering to both industry standards and artistic principles. However, tailoring the complexity of digital drawing assignments to accommodate students…
Descriptors: Freehand Drawing, Computer Uses in Education, Assignments, Higher Education
Luke Parker; Chris Carter; Alice L. Karakas; Jane A. Loper; Ahmad Sokkar – AERA Online Paper Repository, 2024
In 2023, ChatGPT emerged as a transformative force in education, igniting widespread interest across academia. This paper rigorously investigates ChatGPT's impact on higher education using a mixed-methods approach, comparing its (ChatGPT) performance with real students' work in undergraduate assignments. Key findings reveal ChatGPT consistently…
Descriptors: Artificial Intelligence, Technology Education, Higher Education, Influence of Technology
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
Joshua Fullard – Discover Education, 2024
In this paper we use new experimental data to investigate students' preferences regarding lecture mode and length, and assessment type across two unique dimensions: expected learning and enjoyment. Our main findings are as follows: first, students demonstrate a strong preference against online lectures. Students expect to learn more from, and…
Descriptors: Preferences, Learning Modules, Lecture Method, Evaluation Methods
Ignacio Máñez; Noemi Skrobiszewska; Adela Descals; María José Cantero; Raquel Cerdán; Óscar Fernando García; Rafael García-Ros – Journal of Computer Assisted Learning, 2024
Background: Delivering effective feedback to large groups of students represents a challenge for the academic staff at universities. Research suggests that undergraduate students often ignore the Elaborated Feedback (EF) received via digital learning environments. This may be because instructors provide feedback in written format instead of using…
Descriptors: Feedback (Response), Audiovisual Aids, Higher Education, College Students
Diler Öner – IAFOR Journal of Education, 2025
This case study investigated the development of AI literacy among novice educational researchers through an AI literacy course. AI literacy requires a high level of competence involving the ability to understand AI, use it effectively for specific tasks, evaluate and create AI, and exhibit ethical behavior in its use. The AI literacy course was…
Descriptors: Artificial Intelligence, Digital Literacy, Educational Research, Graduate Students
Nuria Brufau Alvira; Peter Bannister; Alexandra Santamaría Urbieta – Higher Education Quarterly, 2025
This study, conducted at a fully online Spanish higher education institution, documents the validation of a bespoke quality assessment tool designed to measure the susceptibility of formative assignments to AI academic misconduct. The research explored the impact of Generative AI (GenAI) technologies in the Humanities. The framework study…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Foreign Countries
Awdry, Rebecca – Assessment & Evaluation in Higher Education, 2021
The extent and reach of commercial cheating opportunities is ever present; thousands of websites promote differing business models offering assignments in multiple languages and currencies. In addition to commercial companies, students are known to outsource their assignments from friends and family. Assignment outsourcing and contract cheating…
Descriptors: Assignments, Outsourcing, Cheating, Contracts
Didi M. E. Griffioen; Maaike van Heijningen – Journal on Excellence in College Teaching, 2023
This literature review applies Wenger's community of practice framework as a theoretical lens to generate insight about the complex collaborative processes of living labs. The authors explore this model with insights from the literature on labs and then set out to understand higher educational living labs. The findings show that current research…
Descriptors: Communities of Practice, Higher Education, Living Learning Centers, Personal Autonomy
Aimee Jacobs; Jacquelin J. Curry; Concetta A. DePaolo; Fernando Parra – Journal of Information Systems Education, 2024
This manuscript describes the use of real data applied to a fictional real-estate firm for teaching data visualization to university students. In the case study, students employ data analytic techniques in Tableau to clean, organize, and analyze real estate data. By creating visualizations, students address several questions about how selling…
Descriptors: Visualization, Housing, Computer Software, Data Use
Nguyen Thi Thanh Tam; Tran Ngoc Tien – rEFLections, 2024
Promoting critical thinking (CT) skills has largely attracted the concern of numerous relevant stakeholders, including teachers, students, and policymakers, with the assumption that CT is a vitally learned skill needed by graduates. This study explores the extent of classroom-based assessment strategies used to promote the CT ability of…
Descriptors: Critical Thinking, Student Evaluation, Evaluation Methods, Higher Education

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