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Chengliang Wang; Xiaojiao Chen; Zhebing Hu; Sheng Jin; Xiaoqing Gu – Journal of Computer Assisted Learning, 2025
Background: ChatGPT, as a cutting-edge technology in education, is set to significantly transform the educational landscape, raising concerns about technological ethics and educational equity. Existing studies have not fully explored learners' intentions to adopt artificial intelligence generated content (AIGC) technology, highlighting the need…
Descriptors: College Students, Student Attitudes, Computer Attitudes, Computer Uses in Education
Hewson, Claire; Charlton, John P. – Journal of Computer Assisted Learning, 2019
The use of e-assessment methods raises important concerns regarding the reliability and validity of these methods. Potential threats to validity include mode effects and the possible influence of computer-related attitudes. Although numerous studies have now investigated the validity of online assessments in noncourse-based contexts, few studies…
Descriptors: Computer Assisted Testing, Test Reliability, Test Validity, College Students

Light, Paul; Colbourn, C.; Light, V. – Journal of Computer Assisted Learning, 1997
Psychology students at the University of Southampton use "skywriting," an e-mail based discussion medium involving tutors and students and focusing on issues arising from course content. This article discusses student participation in skywriting; examines effects of gender, computer attitudes, and computer experience; compares student…
Descriptors: Case Studies, College Curriculum, College Students, Computer Assisted Instruction