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Hon Keung Yau; Choi Ho Man – Turkish Online Journal of Educational Technology - TOJET, 2025
This study explores Hong Kong higher education students' perceptions of E-assessment systems, focusing on factors shaping acceptance of E-examinations over traditional formats. Quantitative analysis of 107 respondents reveals significant positive correlations between diverse pre-exam guidance (e.g., tutorials) and key system features (e.g.,…
Descriptors: Foreign Countries, College Students, Student Attitudes, Computer Assisted Testing
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Jonas Flodén – British Educational Research Journal, 2025
This study compares how the generative AI (GenAI) large language model (LLM) ChatGPT performs in grading university exams compared to human teachers. Aspects investigated include consistency, large discrepancies and length of answer. Implications for higher education, including the role of teachers and ethics, are also discussed. Three…
Descriptors: College Faculty, Artificial Intelligence, Comparative Testing, Scoring
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Yusuf Oc; Hela Hassen – Marketing Education Review, 2025
Driven by technological innovations, continuous digital expansion has transformed fundamentally the landscape of modern higher education, leading to discussions about evaluation techniques. The emergence of generative artificial intelligence raises questions about reliability and academic honesty regarding multiple-choice assessments in online…
Descriptors: Higher Education, Multiple Choice Tests, Computer Assisted Testing, Electronic Learning
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David Eubanks; Scott A. Moore – Assessment Update, 2025
Assessment and institutional research offices have too much data and too little time. Standard reporting often crowds out opportunities for innovative research. Fortunately, advancements in data science now offer a clear solution. It is equal parts technique and philosophy. The first and easiest step is to modernize data work. This column…
Descriptors: Higher Education, Educational Assessment, Data Science, Research Methodology
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Daniel Lupiya Mpolomoka – Pedagogical Research, 2025
Overview: This systematic review explores the utilization of artificial intelligence (AI) for assessment, grading, and feedback in higher education. The review aims to establish how AI technologies enhance efficiency, scalability, and personalized learning experiences in educational settings, while addressing associated challenges that arise due…
Descriptors: Artificial Intelligence, Higher Education, Evaluation Methods, Literature Reviews
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Tahereh Firoozi; Hamid Mohammadi; Mark J. Gierl – Journal of Educational Measurement, 2025
The purpose of this study is to describe and evaluate a multilingual automated essay scoring (AES) system for grading essays in three languages. Two different sentence embedding models were evaluated within the AES system, multilingual BERT (mBERT) and language-agnostic BERT sentence embedding (LaBSE). German, Italian, and Czech essays were…
Descriptors: College Students, Slavic Languages, German, Italian
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Lorraine Bennett; Ali Abusalem – Athens Journal of Education, 2024
The rapid spread of the COVID-19 pandemic in the first half of 2020 disrupted and changed higher education across the world, and into the future. Campuses were shut down, almost overnight. International and State borders were closed and business models that relied heavily on high-paying international students collapsed. University leaders and…
Descriptors: Foreign Countries, Higher Education, Electronic Learning, Technology Uses in Education
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Timos Almpanis; Dom Conroy; Paul Joseph-Richard – Electronic Journal of e-Learning, 2025
The advent of Generative AI (GAI) tools such as ChatGPT, Google Gemini, and Microsoft Copilot has significantly impacted higher education. This exploratory study investigates the current perspectives of lecturers in Human Resource Management (HRM) and Psychology on adapting assessment strategies in response to GAI developments. Through an online…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, College Faculty
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Amr Selim Wannas; Marwa M. AbdelMohsen – Knowledge Management & E-Learning, 2025
The global pandemic caused by COVID-19 has acted as a significant driver for the adoption of online educational practices, including instruction and assessment. Given the urgent need for an alternative to traditional assessment methods during the pandemic, various studies have explored this topic across different contexts to evaluate the impact,…
Descriptors: English (Second Language), Computer Assisted Testing, Second Language Learning, Second Language Instruction
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Douglas Yeboah – Cogent Education, 2023
Computer-based test has been administered in e-learning environments as part of ICT integration in education. Recently, online test is gaining attention in both regular and distance education institutions, and students' preference or perception of an online test versus paper-based test is crucial in successful adoption or implementation of either…
Descriptors: Foreign Countries, Undergraduate Students, Test Format, Computer Assisted Testing
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St-Onge, Christina; Ouellet, Kathleen; Lakhal, Sawsen; Dubé, Tim; Marceau, Mélanie – British Journal of Educational Technology, 2022
The COVID-19 pandemic provoked an urgency for many educators to integrate digital information and communication technologies in their educational practices. We explored how faculty members tackled the task of adapting their assessment practices during the pandemic to identify what is required to sustain and favour future quality development and…
Descriptors: COVID-19, Pandemics, Computer Assisted Testing, Higher Education
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Hanna Kubrak; Mareike Ehlers; Kristina Piecha; Thomas Walcher; Georg Braun; Philipp Prade – Electronic Journal of e-Learning, 2023
The COVID-19 pandemic put academic institutions around the world in the difficult position of suddenly having to organize many lectures and examinations over online channels only, due to students' physical access to their campus buildings being restricted. While the search for possible solutions to this problem was often challenging, this…
Descriptors: Computer Assisted Testing, Student Evaluation, College Students, Evaluation Methods
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José I. Castillo-Manzano; Mercedes Castro-Nuño; Lourdes López-Valpuesta; María Teresa Sanz-Díaz; Rocío Yñiguez – Journal of Computing in Higher Education, 2024
Evaluation is a crucial part of the teaching and learning process in any higher education institution and one that has gone through a deep change. This has been particularly true since the Bologna Declaration (http://www.ehea.info/page-ministerial-conference-bologna-1999, 1999) ushered in the European higher education area, with the subsequent…
Descriptors: Higher Education, Academic Achievement, Computer Assisted Testing, Student Evaluation
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Wei Sun; Yousun Shin – SAGE Open, 2025
This quasi-experimental study compared the effects of Computer-assisted Hybrid Dynamic Assessment (HDA) and Interventionist Dynamic Assessment (IDA) on the development of organizational writing skills in L2, aiming to improve both assessment and instruction within Chinese EFL context. A total of 85 first-year university students in China…
Descriptors: Computer Assisted Testing, Writing Skills, Second Language Learning, English (Second Language)
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Middleton, Kyndra V. – Educational Measurement: Issues and Practice, 2022
The onset of the coronavirus pandemic forced schools and universities across the nation and world to close and move to distance learning rather immediately. Almost two years later, colleges and universities have reopened, and most students have returned to campuses, but distance learning still occurs at a much higher rate than before the beginning…
Descriptors: Computer Assisted Testing, Internet, Student Evaluation, College Students
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