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Zhang, Mengxue; Heffernan, Neil; Lan, Andrew – International Educational Data Mining Society, 2023
Automated scoring of student responses to open-ended questions, including short-answer questions, has great potential to scale to a large number of responses. Recent approaches for automated scoring rely on supervised learning, i.e., training classifiers or fine-tuning language models on a small number of responses with human-provided score…
Descriptors: Scoring, Computer Assisted Testing, Mathematics Instruction, Mathematics Tests
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Wong, Wai Yee Amy; Thistlethwaite, Jill; Moni, Karen; Roberts, Chris – Advances in Health Sciences Education, 2023
Examiners' judgements play a critical role in competency-based assessments such as objective structured clinical examinations (OSCEs). The standardised nature of OSCEs and their alignment with regulatory accountability assure their wide use as high-stakes assessment in medical education. Research into examiner behaviours has predominantly explored…
Descriptors: Sociocultural Patterns, Evaluators, Performance Based Assessment, Accountability
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Dunaway, Krystall; Gardner, Kristine; Grieve, Karly – American Journal of Evaluation, 2023
As part of its "Guiding Principles for Evaluators," the American Evaluation Association (AEA) requires that evaluators develop cultural competencies. Using a successive-independent-samples design, the researchers sought to compare perceptions of cultural competence across a duration of 10 years. Qualitative data were collected via online…
Descriptors: Cultural Awareness, Program Evaluation, Evaluators, Preferences
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Jia, Wenfeng; Zhang, Peixin – Language Testing in Asia, 2023
It is widely believed that raters' cognition is an important aspect of writing assessment, as it has both logical and temporal priority over scores. Based on a critical review of previous research in this area, it is found that raters' cognition can be boiled to two fundamental issues: building text images and strategies for articulating scores.…
Descriptors: Problem Solving, Cognitive Processes, Writing Evaluation, Evaluators
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Anderson, Emily E.; Hurley, Elisa A.; Serpico, Kimberley; Johnson, Ann; Rowe, Jessica; Singleton, Megan; Bierer, Barbara E.; Cholka, Brooke; Chaudhari, Swapnali; Fernandez Lynch, Holly – Research Ethics, 2023
The primary purpose of Institutional Review Boards (IRBs) is to protect the rights and welfare of human research participants. Evaluation and measurement of how IRBs satisfy this purpose and other important goals are open questions that demand empirical research. Research on IRBs, and the Human Research Protection Programs (HRPPs) of which they…
Descriptors: Research, Ethics, Stakeholders, Barriers
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McDonough, Kim; Lindberg, Rachael; Trofimovich, Pavel; Tekin, Oguzhan – Language Teaching, 2023
This replication study seeks to extend the generalizability of an exploratory study (McDonough et al., 2019) that identified holds (i.e., temporary cessation of dynamic movement by the listener) as a reliable visual cue of non-understanding. Conversations between second language (L2) English speakers in the Corpus of English as a Lingua Franca…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Computational Linguistics
James DiFranco – ProQuest LLC, 2023
The recent Next Generation Science Standards recommend students have increased opportunities engaging in modeling work scientists do. Science classroom tasks include simple inquiry compared to more complex authentic inquiry that closely resembles authentic science. Science fair participation presents students with the opportunity to engage in…
Descriptors: Science Instruction, Teaching Methods, Authentic Learning, Inquiry
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Moore, Marah; Parsons, Beverly; Jessup, Patricia – American Journal of Evaluation, 2019
Evaluators are becoming increasingly aware that, to provide maximum benefit to the programs they evaluate, they must address the systems within which the programs work. However, evaluation practice is often influenced by beliefs and assumptions that are rooted in an understanding of these systems as stable and predictable. We identify four traps…
Descriptors: Evaluators, Systems Approach, Beliefs, Program Evaluation
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Wind, Stefanie A.; Sebok-Syer, Stefanie S. – Journal of Educational Measurement, 2019
When practitioners use modern measurement models to evaluate rating quality, they commonly examine rater fit statistics that summarize how well each rater's ratings fit the expectations of the measurement model. Essentially, this approach involves examining the unexpected ratings that each misfitting rater assigned (i.e., carrying out analyses of…
Descriptors: Measurement, Models, Evaluators, Simulation
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Hall, Amy Cox – Evidence & Policy: A Journal of Research, Debate and Practice, 2019
In this practice paper I examine the evaluation of one project and ask whether or not the evaluation failed. I suggest that because I was unaware of the larger connections between the grant agency and the grantee I made tactical errors in the presentation of findings, which resulted in not simply disagreement but anger and resentment. I conclude…
Descriptors: Program Evaluation, Error Patterns, Psychological Patterns, Evaluators
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Maya Usher – Assessment & Evaluation in Higher Education, 2025
The integration of Generative Artificial Intelligence (GenAI) in education has introduced innovative approaches to assessment. One such approach is AI chatbot-based assessment, which utilizes large language models to provide students with timely and consistent feedback. However, the effectiveness of AI chatbots in generating assessments comparable…
Descriptors: Artificial Intelligence, Computer Assisted Testing, Student Evaluation, Peer Evaluation
Beth Akers – American Enterprise Institute, 2025
The process of accreditation in higher education, which is the primary gatekeeper of federal financial aid dollars, is overdue for reform. The Trump administration has committed to using accreditation reform to overhaul the system of accountability for college and universities. An executive order in April 2025 indicated that among other changes,…
Descriptors: Guidelines, Accreditation (Institutions), Student Financial Aid, Higher Education
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Georgios Zacharis; Stamatios Papadakis – Educational Process: International Journal, 2025
Background/purpose: Generative artificial intelligence (GenAI) is often promoted as a transformative tool for assessment, yet evidence of its validity compared to human raters remains limited. This study examined whether an AI-based rater could be used interchangeably with trained faculty in scoring complex coursework. Materials/methods:…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Assisted Testing, Grading
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Wind, Stefanie A. – Measurement: Interdisciplinary Research and Perspectives, 2020
Rater fit analyses provide insight into the degree to which rater judgments correspond to expected properties, as defined within a measurement framework. Parametric models such as the Rasch model provide a useful framework for evaluating rating quality; however, these models are not appropriate for all assessment contexts. The purpose of this…
Descriptors: Evaluators, Goodness of Fit, Simulation, Psychometrics
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Lubienski, Sarah Theule – Educational Researcher, 2020
This essay provides advice for effectively reviewing conference proposals, including how to write comments that are helpful to proposal authors, how to use the "Comments to Program Chair" box, and issues to consider when assigning proposal ratings and recommending acceptance or rejection. Several benefits of reviewing proposals are…
Descriptors: Conferences (Gatherings), Conference Papers, Evaluation Methods, Evaluation Criteria
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