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Ilona Kocvarová; Jan Kalenda; Jitka Vaculíková; Zuzana Neupauer; Ruženka Šimonji Cernak; Anna Wloch – Higher Education Quarterly, 2024
The article focuses on adaptation and validation of the Academic Motivation Scale questionnaire (AMS-28) in higher education in four Eastern European countries: Czechia, Slovakia, Serbia, and Poland. The research was conducted with a total of 1711 respondents. We examined the construct validity of AMS-28 including measurement invariance and…
Descriptors: Foreign Countries, Learning Motivation, Measures (Individuals), Validity
Joan Li; Nikhil Kumar Jangamreddy; Ryuto Hisamoto; Ruchita Bhansali; Amalie Dyda; Luke Zaphir; Mashhuda Glencross – Australasian Journal of Educational Technology, 2024
Generative artificial intelligence technologies, such as ChatGPT, bring an unprecedented change in education by leveraging the power of natural language processing and machine learning. Employing ChatGPT to assist with marking written assessment presents multiple advantages including scalability, improved consistency, eliminating biases associated…
Descriptors: Higher Education, Artificial Intelligence, Grading, Scoring Rubrics
Hua Yuan; Yunmei Wu; Hui Tao; Jun Yin; Ying Fang; Junjie Zhang; Yun Zhang – International Journal of Technology and Design Education, 2025
This paper introduces a framework aimed at assessing the sustainability of fashion designers, intending to evaluate their proficiency in sustainability and enhance higher education in design. To establish a system for assessing and evaluating sustainable design competence, we initiated interviews with both designers and fashion design students.…
Descriptors: Clothing, Design, Sustainability, Reliability
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
Robert H. Eaglen; Steven J. Durning; Holly S. Meyer; Christopher S. Candler – Quality in Higher Education, 2024
Higher education accreditation has spread internationally as a vehicle for quality assurance and improvement but is strongly influenced by accreditation practices in the United States. The organisational structure and processes of seven United States health professions accreditors were analysed to identify common characteristics that reflect…
Descriptors: Accreditation (Institutions), Quality Assurance, Evaluators, Evaluation Methods
Gerd Kortemeyer; Julian Nöhl – Physical Review Physics Education Research, 2025
This study explores the use of artificial intelligence in grading high-stakes physics exams, emphasizing the application of psychometric methods, particularly item response theory, to evaluate the reliability of AI-assisted grading. We examine how grading rubrics can be iteratively refined and how threshold parameters can determine when…
Descriptors: Physics, Science Tests, Grading, Artificial Intelligence
Katherine Ryker; Rachel Teasdale; Kelsey Bitting – Journal of Geoscience Education, 2025
Third-party observations using validated observation protocols (OPs) provide a reliable way of recording teacher and student behaviors across different classrooms and institutions, which can then be used to identify what pedagogical strategies geoscience faculty use and how they are tied to learning outcomes of importance to the field. We examined…
Descriptors: Classroom Observation Techniques, Earth Science, STEM Education, Higher Education
Renata Skýpalová; Helena Chládková; Chijioke Esogwa Nwachukwu; Hieu Minh Vu – Tuning Journal for Higher Education, 2024
The aim of this paper is to measure and compare the quality of services provided by higher education institutions in the Czech Republic and Vietnam. It is not the sheer volume of services offered, but their quality, which matters as a strategic tool enhancing the competitiveness in the tertiary education market. Feedback from student-clients is…
Descriptors: Competition, Higher Education, Educational Quality, Foreign Countries
Jessica A. Hosey – ProQuest LLC, 2023
Nonacademic staff in higher education, also known as support staff, is a necessary and under-researched workforce essential for the success of higher education institutions. The higher education needs emphasized by the COVID-19 pandemic, state budget cuts, and increasing levels of turnover from the nonacademic population highlight the need for a…
Descriptors: Job Satisfaction, School Personnel, Higher Education, Occupational Mobility
Mike Perkins; Jasper Roe; Binh H. Vu; Darius Postma; Don Hickerson; James McGaughran; Huy Q. Khuat – International Journal of Educational Technology in Higher Education, 2024
This study investigates the efficacy of six major Generative AI (GenAI) text detectors when confronted with machine-generated content modified to evade detection (n = 805). We compare these detectors to assess their reliability in identifying AI-generated text in educational settings, where they are increasingly used to address academic integrity…
Descriptors: Artificial Intelligence, Inclusion, Computer Software, Word Processing
Gordana Stankovska; Fatime Ziberi; Dimitar Dimitrovski – Bulgarian Comparative Education Society, 2024
Education is a significant institution given the shift to a knowledge economy. Today students have numerous expectations that range from choosing what to learn, how to learn and how much to learn based on their individual academic needs. Student satisfaction is an important facet for higher education institutions and specifically, it is highly…
Descriptors: Educational Quality, College Students, Student Attitudes, Empathy
Aisha Naz Ansari; Sohail Ahmad; Sadia Muzaffar Bhutta – Education and Information Technologies, 2024
The recent development of AI Chatbot -- specifically ChatGPT -- has gained dramatic attention from users as evident by ongoing discussion among the education fraternity. We argue that prior to making any conclusion, it is important to understand how ChatGPT is being used in higher education across the globe. This paper makes a significant…
Descriptors: Artificial Intelligence, Higher Education, Educational Technology, Technology Uses in Education
Ridwan Daud Mahande; Nurul Mukhlisah Abdal; Nasir Nasir – Interactive Technology and Smart Education, 2024
Purpose: This paper aims to investigate the effect of learning styles on HyFlex learning towards equity of learning in higher education. Design/methodology/approach: A quantitative approach was used, with data collection through a structured online questionnaire. The study participants were undergraduate students (n = 451) studying at various…
Descriptors: Cognitive Style, Equal Education, Higher Education, Undergraduate Students
Erkko Sointu; Virpi Vellonen; Kwok Ng; Aino Äikäs; Leena Holopainen; Theresa Hoang – Journal of Teacher Education and Educators, 2025
Inclusive education requires staff commitment to the principles of inclusion, and teacher training is crucial to fulfilling its goals. However, research on higher education teacher educators' inclusive dispositions is lacking, particularly in the Finnish or Nordic context. To redress this situation, psychometrically sound research instruments are…
Descriptors: Inclusion, College Faculty, Higher Education, Educational Practices
Beyza Aksu Dünya; Stefanie A. Wind; Mehmet Can Demir – International Journal of Assessment Tools in Education, 2024
Assessment literacy's vital role in faculty effectiveness within higher education lacks sufficient tools for measuring faculty attitudes on this matter. Employing a sequential mixed-methods approach, this study utilized the theory of planned behavior to develop the Assessment Literacy Attitude Scale (ALAS) and evaluate its psychometric properties…
Descriptors: Assessment Literacy, Measures (Individuals), Higher Education, College Faculty