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Download full textJiban Khadka; Dirgha Raj Joshi; Krishna Prasad Adhikari; Bishnu Khanal – Journal of Educators Online, 2025
This study aims to explore the impact of the fairness of semester-end e-assessment in terms of policy provision, monitoring, and authenticity. The cross-sectional online survey design was employed among 346 students at Nepal Open University (NOU). The results were analyzed by using t-test, analysis of variance, and structural equation modeling.…
Descriptors: Foreign Countries, College Students, Open Universities, Computer Assisted Testing
Direct linkColette Melissa Kell; Yasmeen Thandar; Adelle Kemlall Bhundoo; Firoza Haffejee; Bongiwe Mbhele; Jennifer Ducray – Journal of Applied Research in Higher Education, 2025
Purpose: Academic integrity is vital to the success and sustainability of the academic project and particularly critical in the training of ethical and informed health professionals. Yet studies have found that cheating in online exams was commonplace during the COVID-19 pandemic. With the increased use of online and blended learning…
Descriptors: Foreign Countries, Universities, Integrity, Cheating
Mimi Ismail; Ahmed Al - Badri; Said Al - Senaidi – Journal of Education and e-Learning Research, 2025
This study aimed to reveal the differences in individuals' abilities, their standard errors, and the psychometric properties of the test according to the two methods of applying the test (electronic and paper). The descriptive approach was used to achieve the study's objectives. The study sample consisted of 74 male and female students at the…
Descriptors: Achievement Tests, Computer Assisted Testing, Psychometrics, Item Response Theory
Selina Ochukut; Robert Oboko; Evans Miriti; Christopher Chepken; Andrew Kahonge; Elizaphan Maina – International Journal of Education and Development using Information and Communication Technology, 2025
E-learning is an emerging trend in most universities. Due to COVID-19, many universities adopted e-learning. With the sudden adoption and implementation of e-learning, learners had to undergo learning on how to learn and take examinations electronically, which could have increased cognitive load in their learning experience. Without regular, face…
Descriptors: Electronic Learning, Cognitive Ability, Learning Motivation, Learning Experience
Ahmet Can Uyar; Dilek Büyükahiska – International Journal of Assessment Tools in Education, 2025
This study explores the effectiveness of using ChatGPT, an Artificial Intelligence (AI) language model, as an Automated Essay Scoring (AES) tool for grading English as a Foreign Language (EFL) learners' essays. The corpus consists of 50 essays representing various types including analysis, compare and contrast, descriptive, narrative, and opinion…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Teaching Methods
Anucha Somabut; Denpong Soodphakdee; Kulthida Tuamsuk; Parama Kwangmuang – Education and Information Technologies, 2025
The COVID-19 pandemic has forced higher education institutions worldwide to rapidly transition to online learning, exposing vulnerabilities and highlighting the critical need for robust ICT infrastructure. This study investigates the readiness of network universities in upper northeastern Thailand to provide education using ICT during the COVID-19…
Descriptors: Information Technology, Technology Uses in Education, Readiness, Electronic Learning
