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Pariwat Pianpailoon; Thada Jantakoon; Rukthin Laoha – Higher Education Studies, 2025
This research presents a comprehensive framework and system architecture for a virtual universe to enhance teamwork skills through collaborative learning. A systematic review of 17 research papers from 1998-2024 identifies eight essential components of virtual learning environments: virtual environment, interactive tools, communication features,…
Descriptors: Cooperative Learning, Teamwork, Educational Technology, Computer Simulation
Thomas Corbin; Phillip Dawson; Danny Liu – Assessment & Evaluation in Higher Education, 2025
Generative AI (GenAI) challenges assessment validity by enabling students to complete tasks without demonstrating genuine capability. In response to this challenge, institutions have developed and implemented various approaches that aim to communicate permissible AI use to students. Familiar examples include the 'traffic light' approach now…
Descriptors: Artificial Intelligence, Student Evaluation, Evaluation Methods, Change
Jiahui Luo; Chrysa Pui Chi Keung; Hei-hang Hayes Tang – Assessment & Evaluation in Higher Education, 2025
This study uses the concept of dilemmatic space to unpack the complexities of teachers' work when it comes to assessing students in the GenAI age. A key idea of dilemmatic space is that dilemmas are not 'out there' but constructions based on individuals' priorities, knowledge and values. Therefore, studying what teachers perceive as 'dilemmatic'…
Descriptors: Artificial Intelligence, College Faculty, Student Evaluation, Computer Uses in Education
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
Ainhoa Alvarez; Mikel Villamañe – Interactive Learning Environments, 2024
Assessment is a key element in any course, and providing students with a balance between formative and summative assessments is crucial. Defining such a process is a complex task for teachers and often entails a great workload. This makes it necessary to have tools to help in the assessment process definition and its monitoring. This paper first…
Descriptors: Open Source Technology, Learning Management Systems, Student Evaluation, College Students
Eyüp Yurt – International Society for Technology, Education, and Science, 2024
This study examines the use of artificial intelligence-based assessment systems in education and their impact on student achievement. AI technologies make the learning experience more compelling by monitoring and evaluating student performance through data analysis and machine learning, thereby individualizing the assessment process. This study…
Descriptors: Artificial Intelligence, Student Evaluation, Academic Achievement, Computer Uses in Education
Hai-Jie Wang; Kai Chen; Youmei Wang; Chen-Chen Liu – Journal of Computer Assisted Learning, 2025
Background: Vocal music is a multifaceted subject, as students not only need to master skills but also to appreciate and critically interpret the singing process. Conventional vocal music learning methods emphasise practice and feedback, but deeper learning often stems from reflective assessment, especially when students adopt the perspective of…
Descriptors: Music Education, Teaching Methods, Singing, Music Appreciation
Ramy Shabara; Khaled ElEbyary; Deena Boraie – Teaching English with Technology, 2024
Although there are claims that ChatGPT, an AI-based language model, is capable of assessing the writing of L2 learners accurately and consistently in the classroom, a number of recent studies have shown discrepancies between AI and human raters. Furthermore, there is a lack of studies investigating the intrareliability of ChatGPT scores.…
Descriptors: Foreign Countries, Artificial Intelligence, Scoring Rubrics, Student Evaluation
Sebastian Gross; Corinna Hankeln; Kim-Alexandra Rösike; Susanne Prediger – Technology, Knowledge and Learning, 2025
Digital formative assessment tools have been identified as a promising support for mathematics teachers' practices of monitoring and enhancing students' understanding. However, more research is required to align these support affordances better with teachers' practices. In a qualitative expert-novice comparison, we investigated how expert and…
Descriptors: Beginning Teachers, Experienced Teachers, Mathematics Teachers, Formative Evaluation
Topuz, Arif Cem; Saka, Eda; Fatsa, Ömer Faruk; Kursun, Engin – Smart Learning Environments, 2022
The COVID-19 pandemic caused many educational institutions in the world to switch to the distance education process, and this process was called "Emergency Remote Teaching". This urgent transition process has caused many problems in educational environments. One of the problems is the subject of measurement and evaluation. Along with the…
Descriptors: COVID-19, Pandemics, Distance Education, Student Evaluation
Mitra, Sugata; Dangwal, Ritu – Journal of Learning for Development, 2022
The scores obtained by students in examinations where internet access was allowed during the examination were compared with the scores obtained in traditional examinations where no assistance was allowed. These scores were then compared with those obtained in a standardised school examination on the same topic or subject, taken by the same…
Descriptors: Internet, Access to Computers, Tests, Scores
Sally E. Jordan; John P. R. Bolton – International Journal of Assessment Tools in Education, 2024
The study investigated the impact on student engagement and achievement of a "formative thresholded" continuous assessment strategy in which students had to meet a modest threshold, but their continuous assessment marks did not contribute to their final grade. Students were free to choose their own blend of tutor-marked and…
Descriptors: Learner Engagement, Academic Achievement, Assignments, Feedback (Response)
Elif Tuna Pusa; Serkan Dinçer – SAGE Open, 2025
This meta-synthesis study examines the use of digital assessment tools in education, focusing on their prevalence, benefits, limitations, and recommendations for effective integration into teaching processes. Based on 41 empirical studies published between December 2012 and January 2023, this study follows the thematic synthesis approach proposed.…
Descriptors: Student Evaluation, Portfolio Assessment, Electronic Publishing, Computer Assisted Testing
Julia VanderMolen; Kim Howard – Journal of Health Education Teaching, 2024
Purpose: This project explains how students in a graduate-level health literacy and advocacy course can benefit from the design and development of a digital literacy data visualization. Additionally, this study seeks to look into the perceived worth of developing a lesson on digital literacy, health literacy, and data visualization to assist…
Descriptors: Graduate Students, Health Education, Digital Literacy, Multiple Literacies
Goran Trajkovski; Heather Hayes – Digital Education and Learning, 2025
This book explores the transformative role of artificial intelligence in educational assessment, catering to researchers, educators, administrators, policymakers, and technologists involved in shaping the future of education. It delves into the foundations of AI-assisted assessment, innovative question types and formats, data analysis techniques,…
Descriptors: Artificial Intelligence, Educational Assessment, Computer Uses in Education, Test Format

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