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Samantha L. Strong; Amy L. Sheppard – Journal of the Scholarship of Teaching and Learning, 2025
Assessments in higher education healthcare programmes can be challenging because they not only need to be fair, valid, and transparent, but it is also necessary to gauge safety, practical skill competence, and professionalism. One way to help maximise validity in practical assessments is to utilise 'standard setting' which aims to set a fair 'cut…
Descriptors: College Students, Student Evaluation, Evaluation Methods, Standard Setting
Cunqiang Chang – International Journal of Web-Based Learning and Teaching Technologies, 2025
The traditional system focuses excessively on physical skills and physical fitness assessment, with problems such as single indicator, static approach, subject limitation and inefficient data utilization, making it difficult to assess students in a comprehensive and fair manner. The rise of big data technology has brought about a turnaround, from…
Descriptors: Physical Education, Teacher Evaluation, College Instruction, College Faculty
Lorraine Valdez Pierce; Alexandria Zylstra; Esperanza Roman-Mendoza; Divya Varier; Judith Collazo; Lori Bland – Assessment & Evaluation in Higher Education, 2025
Student evaluations of teaching (SETs) are routinely used for evaluation of instructional faculty in universities. However, studies have shown that SET use often contributes to inequities in tenure, promotion and salary outcomes, especially for women and underrepresented groups. Research suggests a need for a universal conceptualization of…
Descriptors: Student Evaluation of Teacher Performance, College Faculty, College Students, Teacher Effectiveness
Fátima Sancheznieto; Christine M. Pribbenow; Christine Pfund – Journal of Microbiology & Biology Education, 2025
The improvement of existing science education interventions and the development of new ones requires cohesive, large-scale evaluation and testing that inform what works, for whom, and in what context. Systems approaches to design, implement, and evaluate interventions require knowledge, skills, and expertise in studying humans alongside the lived…
Descriptors: Measurement Techniques, Evaluation Methods, Science Education, Educational Research
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
Erica Lynn DeFrain; Leslie Sult; Nicole Pagowsky – College & Research Libraries, 2025
Academic librarians invest significant time and effort in developing and maintaining research guides, yet the extent to which these tools effectively support college students' information literacy development remains uncertain. This scoping review aimed to comprehensively examine the existing literature on the effectiveness of academic library…
Descriptors: Academic Libraries, Library Services, Library Instruction, College Students
Lia M. Daniels; Kendra Wells – Assessment & Evaluation in Higher Education, 2025
Typically, students view classroom assessments like tests, exams, reports, and essays as a major stressor in higher education. However, it is also plausible that students have experienced instances in which the purposes, format, and design of classroom assessment actually supports their well-being. We used a qualitative descriptive design to…
Descriptors: College Students, Student Attitudes, Student Evaluation, Well Being
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
Liesbeth K. J. Baartman; Kathleen M. Quinlan – Perspectives: Policy and Practice in Higher Education, 2024
We argue that assessment and feedback practices in higher education need to be transformed to better address three purposes: "promoting" learning, "assuring" assessment rigour, and "communicating" students' employability. To address shortcomings in the current assessment and feedback culture, we propose programmatic…
Descriptors: Feedback (Response), Student Evaluation, Foreign Countries, Learning
Hastings, Lindsay J.; Sunderman, Hannah M. – Journal of Leadership Education, 2023
The purpose of this application manuscript is to address assessing and evaluating the impact of leadership mentoring programs on collegiate mentors. Specifically, this paper addresses the nuanced considerations of creating appropriate program outcomes and associated objectives given the individualized nature of mentoring relationships.…
Descriptors: Leadership, Mentors, College Students, Program Evaluation
Lauren A. Mason; Abigail Miller; Gregory Hughes; Holly A. Taylor – Cognitive Research: Principles and Implications, 2025
False alarming, or detecting an error when there is not one, is a pervasive problem across numerous industries. The present study investigated the role of elaboration, or additional information about non-error differences in complex visual displays, for mitigating false error responding. In Experiment 1, learners studied errors and non-error…
Descriptors: Error Correction, Error Patterns, Evaluation Methods, Visual Aids
Jade Kim; Elena Danilina – Innovations in Education and Teaching International, 2025
Since higher education institutions aim to promote social justice through equity, diversity, and inclusion (EDI), educators have raised concerns about the equitable and inclusive implementation of AI-based assessment practices in academic writing for multilingual students, who have been historically disenfranchised. Using academic literacies and…
Descriptors: Multilingualism, Higher Education, College Students, Artificial Intelligence
Chitra Sabapathy – Shanlax International Journal of Education, 2024
Background: Mid-semester evaluations are gaining traction as a means to gather evaluation data for formative purposes. However, it is not clear if course coordinators who conduct these evaluations are adequately equipped with evaluative knowledge and skills to guide them through their evaluative processes. Objectives: This study is a…
Descriptors: Evaluation Methods, Instructor Coordinators, Tutors, College Students
Sedor, Nicole – Foreign Language Annals, 2023
This longitudinal, multi-semester study investigates the Integrated Performance Assessment (IPA) in university-level communicative Spanish classrooms to find out how instructor feedback affects student performance on IPA assessments, if at all, and in what ways do teachers and students use feedback from the IPAs in their teaching and learning, if…
Descriptors: Spanish, Language Tests, Feedback (Response), Student Evaluation
Vahe Permzadian; Kit W. Cho – Teaching in Higher Education, 2025
When administering an in-class exam, a common decision that confronts every instructor is whether the exam format should be closed book or open book. The present review synthesizes research examining the effect of administering closed-book or open-book assessments on long-term learning. Although the overall effect of assessment format on learning…
Descriptors: College Students, Tests, Test Format, Long Term Memory

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