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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
Alexis M. F. Morin; Justin R. Eck – Journal of Occupational Therapy Education, 2025
The COVID-19 pandemic heightened the need for digital transformation in higher education, emphasizing the importance of incorporating digital pedagogy. This study explored student experiences and perceptions of digital storytelling, a multimedia-based narrative technique, as an innovative assessment method in occupational therapy education.…
Descriptors: Student Experience, Student Attitudes, Story Telling, Computer Uses in Education
Ishrat Ahmed; Wenxing Liu; Rod D. Roscoe; Elizabeth Reilley; Danielle S. McNamara – Grantee Submission, 2025
Large language models (LLMs) are increasingly being utilized to develop tools and services in various domains, including education. However, due to the nature of the training data, these models are susceptible to inherent social or cognitive biases, which can influence their outputs. Furthermore, their handling of critical topics, such as privacy…
Descriptors: Artificial Intelligence, Natural Language Processing, Computer Mediated Communication, College Students
Nieminen, Juuso Henrik; Bearman, Margaret; Ajjawi, Rola – Assessment & Evaluation in Higher Education, 2023
Authentic assessment aligns higher education with the practices of students' future professions, which are increasingly digitally mediated. However, previous frameworks for authentic assessment appear not to explicitly address how authenticity intersects with a broader digital world. This critical scoping review describes how the digital has been…
Descriptors: Performance Based Assessment, Higher Education, Educational Technology, Computer Uses in Education
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)
Framing Outcomes and Programming Assessment for Digital Scholarship Services: A Logic Model Approach
Longmeier, Meris Mandernach; Murphy, Sarah Anne – College & Research Libraries, 2021
Assessing digital scholarship services offered either through academic libraries or elsewhere on campuses is important for both program development and service refinement. Digital scholarship support is influenced by fluid campus priorities and limited resources, including staffing, service models, infrastructure, and partnership opportunities…
Descriptors: Library Services, Academic Libraries, Scholarship, Computer Use
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)
Ezi Apino; Edi Istiyono; Heri Retnawati; Widihastuti Widihastuti; Kana Hidayati – Journal of Pedagogical Research, 2024
Assessment of attitudes towards statistics [ATS] is needed to support the success of statistics education in tertiary institutions, so measuring instruments with high accuracy is required. However, existing instruments to measure ATS have not considered the use of technology as an essential variable affecting success in statistics education. The…
Descriptors: Foreign Countries, College Students, College Faculty, Statistics Education
Sánchez-Fernández, Magdalena; Borda-Mas, Mercedes – Education and Information Technologies, 2023
University students are a high-risk population with problematic online behaviours that include generalized problematic Internet/smartphone use and specific problematic Internet uses (for example, social media or gaming). The study of their predictive factors is needed in order to develop preventative strategies. This systematic review aims to…
Descriptors: College Students, Student Behavior, Telecommunications, Handheld Devices
Jia, Qinjin; Cui, Jialin; Xiao, Yunkai; Liu, Chengyuan; Rashid, Parvez; Gehringer, Edward – International Educational Data Mining Society, 2021
Peer assessment has been widely applied across diverse academic fields over the last few decades, and has demonstrated its effectiveness. However, the advantages of peer assessment can only be achieved with high-quality peer reviews. Previous studies have found that high-quality review comments usually comprise several features (e.g., contain…
Descriptors: Peer Evaluation, Models, Artificial Intelligence, Evaluation Methods
Akhter, Nasrin; Fatima, Qudsia – Bulletin of Education and Research, 2017
Computer-based assessments have considerable potential in assessment. This study explores the perceptions of 500 post-graduate students, noting gender differences where appropriate, in relation to the role of computer applications in formative assessment. Using questionnaires and interviews, the data reveal that the student perceptions of the role…
Descriptors: Formative Evaluation, Computer Assisted Testing, Gender Differences, Graduate Students
Howard, Julie; Dorgo, Sandor; Salvatore, Anthony; Boyle, Jason B. – Journal of Physical Education, Recreation & Dance, 2019
Concussions continue to be an injury that is confusing for healthcare professionals, athletes and parents alike. This confusion stems from the fact that not every concussion presents or resolves in the same way. What is known, however, is that coaches must have appropriate screening and identifying practices in place for every athlete at every…
Descriptors: Computer Oriented Programs, Handheld Devices, Computer Uses in Education, Head Injuries
Faniran, Victor Temitayo; Ajayi, Nurudeen A. – Africa Education Review, 2018
Assessments are important to academic institutions because they help in evaluating students' knowledge. The conduct of assessments nowadays has been influenced by the continuous evolution of information technology. Hence, academic institutions now use computers for assessments, often known as Computer-Based Assessments (CBAs), in tandem with…
Descriptors: Foreign Countries, College Students, Student Attitudes, Computer Assisted Testing

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