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Showing 16 to 30 of 471 results Save | Export
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Tadd Farmer; Michael C. Johnson; Jorin D. Larsen; Lance E. Davidson – Advances in Physiology Education, 2025
Team-based learning (TBL) is an active learning instructional strategy shown to improve student learning in large-enrollment courses. Although early implementations of TBL proved generally effective in an undergraduate exercise physiology course that delivered an online individual readiness assurance test (iRAT) before class, the instructor…
Descriptors: Cooperative Learning, Active Learning, Undergraduate Students, Exercise Physiology
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Sami Baral; Eamon Worden; Wen-Chiang Lim; Zhuang Luo; Christopher Santorelli; Ashish Gurung; Neil Heffernan – Grantee Submission, 2024
The effectiveness of feedback in enhancing learning outcomes is well documented within Educational Data Mining (EDM). Various prior research have explored methodologies to enhance the effectiveness of feedback to students in various ways. Recent developments in Large Language Models (LLMs) have extended their utility in enhancing automated…
Descriptors: Automation, Scoring, Computer Assisted Testing, Natural Language Processing
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Plasencia, Javier – Biochemistry and Molecular Biology Education, 2023
Multiple studies have shown that testing contributes to learning at all educational levels. In this observational classroom study, we report the use of a learning tool developed for a Genetics and Molecular Biology course at the college level. An interactive set of practice exams that included 136 multiple choice questions (MCQ) or matching…
Descriptors: Molecular Biology, Genetics, Science Tests, College Science
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Richard Say; Denis Visentin; Annette Saunders; Iain Atherton; Andrea Carr; Carolyn King – Journal of Computer Assisted Learning, 2024
Background: Formative online multiple-choice tests are ubiquitous in higher education and potentially powerful learning tools. However, commonly used feedback approaches in online multiple-choice tests can discourage meaningful engagement and enable strategies, such as trial-and-error, that circumvent intended learning outcomes. These strategies…
Descriptors: Feedback (Response), Self Management, Formative Evaluation, Multiple Choice Tests
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Ella Puman; Aljona Kritsevskaja – International Journal for Technology in Mathematics Education, 2024
In this paper, we describe an idea for mathematics lectures that involves using digital tools for first-year university students. Materials in the Moodle course include live broadcasts, lecture recordings, Moodle tests, sample solutions and videos. The aim of the paper is to find out from students' feedback which digital tools help them understand…
Descriptors: Mathematics Instruction, Blended Learning, Distance Education, Student Attitudes
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Jolanta Kisielewska; Paul Millin; Neil Rice; Jose Miguel Pego; Steven Burr; Michal Nowakowski; Thomas Gale – Education and Information Technologies, 2024
Between 2018-2021, eight European medical schools took part in a study to develop a medical knowledge Online Adaptive International Progress Test. Here we discuss participants' self-perception to evaluate the acceptability of adaptive vs non-adaptive testing. Study participants, students from across Europe at all stages of undergraduate medical…
Descriptors: Medical Students, Medical Education, Student Attitudes, Self Efficacy
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Tri Sedya Febrianti; Siti Fatimah; Yuni Fitriyah; Hanifah Nurhayati – International Journal of Education in Mathematics, Science and Technology, 2024
Assessing students' understanding of circle-related material through subjective tests is effective, though grading these tests can be challenging and often requires technological support. ChatGPT has shown promise in providing reliable and objective evaluations. Many teachers in Indonesia, however, continue to face difficulties integrating…
Descriptors: Artificial Intelligence, Computer Assisted Testing, Scoring, Tests
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Wood, Eileen; Klausz, Noah; MacNeil, Stephen – Innovative Higher Education, 2022
Learning gains associated with multiple-choice testing formats that provide immediate feedback (e.g., IFAT®) are often greater than those for typical single-choice delayed feedback formats (e.g. Scantron®). Immediate feedback formats also typically permit part marks unlike delayed feedback formats. The present study contrasted IFAT® with a new…
Descriptors: Academic Achievement, Computer Assisted Testing, Feedback (Response), Organic Chemistry
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Almuhanna, Manal – Turkish Online Journal of Educational Technology - TOJET, 2023
The application of electronic assessments (e-assessment) has become inevitable with the expansion of distance education, and learners' perceptions should be considered when designers improve the system to meet their needs and facilitate their acceptance of the system. This mixed descriptive study investigated university students' perceptions about…
Descriptors: Evaluation Methods, Educational Improvement, College Students, Student Experience
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Merhi, Mohammad I.; Meisami, Alex – Journal of Education for Business, 2023
This study is one of the first research attempts to examine students' satisfaction with web-based assessment platforms. Using the self-determination theory, the research model examines the intermediate role of autonomy and competency. We gathered our data from a survey of 324 business students at one of the Midwestern American institutions who…
Descriptors: Computer Assisted Testing, Student Satisfaction, Personal Autonomy, Competence
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Ute Mertens; Marlit A. Lindner – Journal of Computer Assisted Learning, 2025
Background: Educational assessments increasingly shift towards computer-based formats. Many studies have explored how different types of automated feedback affect learning. However, few studies have investigated how digital performance feedback affects test takers' ratings of affective-motivational reactions during a testing session. Method: In…
Descriptors: Educational Assessment, Computer Assisted Testing, Automation, Feedback (Response)
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Mustafa Yildiz; Hasan Kagan Keskin; Saadin Oyucu; Douglas K. Hartman; Murat Temur; Mücahit Aydogmus – Reading & Writing Quarterly, 2025
This study examined whether an artificial intelligence-based automatic speech recognition system can accurately assess students' reading fluency and reading level. Participants were 120 fourth-grade students attending public schools in Türkiye. Students read a grade-level text out loud while their voice was recorded. Two experts and the artificial…
Descriptors: Artificial Intelligence, Reading Fluency, Human Factors Engineering, Grade 4
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Eva de Schipper; Remco Feskens; Franck Salles; Saskia Keskpaik; Reinaldo dos Santos; Bernard Veldkamp; Paul Drijvers – Large-scale Assessments in Education, 2025
Background: Students take many tests and exams during their school career, but they usually receive feedback about their test performance based only on an analysis of the item responses. With the increase in digital assessment, other data have become available for analysis as well, such as log data of student actions in online assessment…
Descriptors: Problem Solving, Mathematics Instruction, Learning Analytics, Identification
Yaser Rezk – ProQuest LLC, 2021
Instructor feedback strategies play a key role in the learning acquisition process, especially in online environments. In addition, educational improvement and reform cannot occur without timely and effective assessment approaches. This study, grounded on Bandura's 1967 "self-efficacy and social cognitive theory," focused on identifying…
Descriptors: Learning Processes, Feedback (Response), Electronic Learning, Evaluation Methods
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Botelho, Anthony; Baral, Sami; Erickson, John A.; Benachamardi, Priyanka; Heffernan, Neil T. – Journal of Computer Assisted Learning, 2023
Background: Teachers often rely on the use of open-ended questions to assess students' conceptual understanding of assigned content. Particularly in the context of mathematics; teachers use these types of questions to gain insight into the processes and strategies adopted by students in solving mathematical problems beyond what is possible through…
Descriptors: Natural Language Processing, Artificial Intelligence, Computer Assisted Testing, Mathematics Tests
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