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Duy M. Pham; Kirk P. Vanacore; Adam C. Sales; Johann A. Gagnon-Bartsch – Grantee Submission, 2024
Effective personalization of education requires knowing how each student will perform under certain conditions, given their specific characteristics. Thus, the demand for interpretable and precise estimation of heterogeneous treatment effects is ever-present. This paper outlines a new approach to this problem based on the Leave-One-Out Potential…
Descriptors: Middle School Students, Middle School Teachers, Middle School Mathematics, Algebra
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Gabbay, Hagit; Cohen, Anat – International Educational Data Mining Society, 2023
In MOOCs for programming, Automated Testing and Feedback (ATF) systems are frequently integrated, providing learners with immediate feedback on code assignments. The analysis of the large amounts of trace data collected by these systems may provide insights into learners' patterns of utilizing the automated feedback, which is crucial for the…
Descriptors: MOOCs, Feedback (Response), Teaching Methods, Learning Strategies
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Rodríguez-Ferreiro, Javier; Vadillo, Miguel A.; Barberia, Itxaso – Teaching of Psychology, 2023
Background: We have previously presented two educational interventions aimed to diminish causal illusions and promote critical thinking. In both cases, these interventions reduced causal illusions developed in response to active contingency learning tasks, in which participants were able to decide whether to introduce the potential cause in each…
Descriptors: Sampling, Inferences, Psychology, Undergraduate Students
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Bearman, Margaret; Nieminen, Juuso Henrik; Ajjawi, Rola – Assessment & Evaluation in Higher Education, 2023
E-assessment typically seeks to improve assessment designs through the use of innovative digital tools. However, the intersections between digital technologies and assessment can be seen as increasingly complex, particularly as the sociotechnical perspectives suggest assessment must be relevant to a digitally-mediated society. This paper presents…
Descriptors: Evaluation Methods, Computer Assisted Testing, Test Construction, Student Evaluation
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Estrada-Araoz, Edwin Gustavo; Sayed, Biju Theruvil; Niyazova, Gulnorakhon Gulyamovna; Lami, Desta – Language Testing in Asia, 2023
This research compared the impacts of computerized formative assessment (CFA) and computerized dynamic assessment (CDA) on students' motivation, reading self-concept, autonomy, and self-regulation. Out of a total of 123 Bangladeshi pupils, 87 participants were carefully chosen as the study's sample subject based on the Preliminary English Test…
Descriptors: Foreign Countries, Students, English (Second Language), English Language Learners
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Chan, Kinnie Kin Yee; Bond, Trevor; Yan, Zi – Language Testing, 2023
We investigated the relationship between the scores assigned by an Automated Essay Scoring (AES) system, the Intelligent Essay Assessor (IEA), and grades allocated by trained, professional human raters to English essay writing by instigating two procedures novel to written-language assessment: the logistic transformation of AES raw scores into…
Descriptors: Computer Assisted Testing, Essays, Scoring, Scores
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Malena Manchado Porras; Inmaculada Menacho Jiménez; Jose Carlos Piñero-Charlo; María del Carmen Canto-López – European Journal of Science and Mathematics Education, 2023
Currently mathematics difficulties in schools are a major problem due to several factors. Some research suggest that mathematics teaching-learning methodology could be one of the causes. As a result, alternative teaching methods to the traditional approach (ciphers-based closed algorithm [CBC]) have emerged, such as numbers-based open algorithm…
Descriptors: Mathematics Instruction, Computation, Teaching Methods, Eye Movements
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Muhammad Yoga Prabowo; Sarah Rahmadian – TEFLIN Journal: A publication on the teaching and learning of English, 2023
The outbreak of the COVID-19 pandemic has transformed the educational landscape in a way unseen before. Educational institutions are navigating between offline and online learning worldwide. Computer-based testing is rapidly taking over paper-and-pencil testing as the dominant mode of assessment. In some settings, computer-based and…
Descriptors: English (Second Language), Second Language Learning, Test Format, Language Tests
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M'Lyn K. H. Spinks; Stacy Kluge; Jody Langdon; Mike Metzler; Tiffany Esmat – International Journal of Teaching and Learning in Higher Education, 2023
The higher education Spring semester of 2020 was heavily impacted by stakeholders' calls for a complete shutdown of in-person gatherings. This call to action forced instructors and students to transition from face-to-face education to the virtual, online classroom. Institutions were given a few days to 2 weeks for this transition. During this…
Descriptors: Higher Education, Cheating, Ethics, COVID-19
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Han, Areum; Krieger, Florian; Borgonovi, Francesca; Greiff, Samuel – Large-scale Assessments in Education, 2023
Process data are becoming more and more popular in education research. In the field of computer-based assessments of collaborative problem solving (ColPS), process data have been used to identify students' test-taking strategies while working on the assessment, and such data can be used to complement data collected on accuracy and overall…
Descriptors: Behavior Patterns, Cooperative Learning, Problem Solving, Reaction Time
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Hancock, Phil; Birt, Jac; De Lange, Paul; Fowler, Carolyn; Kavanagh, Marie; Mitrione, Lorena; Rankin, Michaela; Slaughter, Geoff; Williams, Andrew – Accounting Education, 2023
A key role of universities is the credentialing of student learning by awarding degrees and diplomas. This requires universities to have confidence in the integrity of their assessment processes and in turn, external stakeholders to have the same confidence. This study investigates the following research question: 'Has COVID-19 had an impact on…
Descriptors: Foreign Countries, Student Evaluation, Accounting, Business Administration Education
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Joshua Kloppers – International Journal of Computer-Assisted Language Learning and Teaching, 2023
Automated writing evaluation (AWE) software is an increasingly popular tool for English second language learners. However, research on the accuracy of such software has been both scarce and largely limited in its scope. As such, this article broadens the field of research on AWE accuracy by using a mixed design to holistically evaluate the…
Descriptors: Grammar, Automation, Writing Evaluation, Computer Assisted Instruction
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Hartmann, Stefan; Güzel, Emre; Gschwendtner, Tobias – Empirical Research in Vocational Education and Training, 2023
We investigated the ecological validity of performance measures from a computer-based assessment tool that utilises scripted video vignettes. The intended purpose of this tool is to assess the maintenance and repair skills of automotive technician apprentices, complementing traditional hands-on assessment formats from the German journeymen's…
Descriptors: Performance Based Assessment, Computer Assisted Testing, Auto Mechanics, Job Skills
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Congning Ni; Bhashithe Abeysinghe; Juanita Hicks – International Electronic Journal of Elementary Education, 2025
The National Assessment of Educational Progress (NAEP), often referred to as The Nation's Report Card, offers a window into the state of U.S. K-12 education system. Since 2017, NAEP has transitioned to digital assessments, opening new research opportunities that were previously impossible. Process data tracks students' interactions with the…
Descriptors: Reaction Time, Multiple Choice Tests, Behavior Change, National Competency Tests
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Laura L. Beaton – Journal of Educational Technology Systems, 2025
Online quizzes and learning platforms provided by textbook publishers have become common components of undergraduate education. Here, I examine how participation in these formative assessments related to student course performance. Over multiple semesters, students completed either free online unlimited attempt quizzes or assignments from a…
Descriptors: Formative Evaluation, Computer Assisted Testing, Tests, Student Evaluation
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