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Ezechiel Nsabayezu; Olivier Habimana; Wenceslas Nzabalirwa; Francois Niyongabo Niyonzima – Discover Education, 2025
In response to the persistent challenges students face in mastering complex scientific concepts, innovative instructional approaches are needed to improve learning outcomes and engagement. Thus, this study presents the newly designed 6Ps-based instructional model aimed at enhancing organic chemistry education through a multimedia-supported flipped…
Descriptors: Science Education, Teaching Methods, Teaching Models, Organic Chemistry
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Lydia Kyei-Blankson, Editor; Esther Ntuli, Editor – IGI Global, 2025
AI revolutionizes education and transforms learning strategies catered to students' personal needs. Through adaptive learning algorithms and intelligent tutoring systems, AI enhances the educational experience by customizing content and increasing the speed at which each student can learn based on their individual strengths and challenges. This…
Descriptors: Transformative Learning, Artificial Intelligence, Technology Uses in Education, Intelligent Tutoring Systems
Megan Lucas; Luke Bocock; Juan Manuel del Pozo Segura; Jude Hillary – National Foundation for Educational Research, 2025
The Skills Imperative 2035 is a five-year strategic research programme, funded by the Nuffield Foundation, which is investigating future skills needs, skills supply and skill development, with a particular focus on the 'Essential Employment Skills' (EES) that are projected to be most vital across the labour market in 2035. The focus in this stage…
Descriptors: Achievement Tests, International Assessment, Foreign Countries, Secondary School Students
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Meng-Hsun Lee; Eunice Eunhee Jang; Liam Hannah – TESOL Quarterly: A Journal for Teachers of English to Speakers of Other Languages and of Standard English as a Second Dialect, 2025
As international students increasingly pursue higher education in English-dominant countries, developing their academic writing skills is crucial. However, limited access to individualized feedback remains a challenge. AI-driven tools and self-assessment offer promising solutions, making feedback more accessible. This study involved 50…
Descriptors: Foreign Countries, Graduate Students, English (Second Language), Foreign Students
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Ceylan Gündeger Kilci – International Journal of Assessment Tools in Education, 2025
This study examined the psychometric quality of multiple-choice questions generated by two AI tools, ChatGPT and DeepSeek, within the context of an undergraduate Educational Measurement and Evaluation course. Guided by ten learning outcomes (LOs) aligned with Bloom's Taxonomy, each tool was prompted to generate one five-option multiple-choice item…
Descriptors: Psychometrics, Multiple Choice Tests, Artificial Intelligence, Natural Language Processing
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Dennis, A. A.; Foy, M. J.; Monrouxe, L. V.; Rees, C. E. – Advances in Health Sciences Education, 2018
Emotion characterises learners' feedback experiences. While the failure-to-fail literature suggests that emotion may be important, little is known about the role of emotion for educators. Secondary analyses were therefore conducted on data exploring 110 trainers' and trainees' feedback experiences. Group and individual narrative interviews were…
Descriptors: Work Environment, Feedback (Response), Interviews, Foreign Countries
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Crawley, Rosalind; Wilkie, Stephanie; Gamble, Jenny; Creedy, Debra K.; Fenwick, Jenny; Cockburn, Nicola; Ayers, Susan – Applied Cognitive Psychology, 2018
Evidence for memory characteristic differences between trauma and other memories in non-clinical samples is inconsistent. However, trauma is frequently confounded with the event recalled. This study compares trauma and nontrauma memories for the "same event," childbirth, in a non-clinical sample of 285 women 4-6 weeks after birth. None…
Descriptors: Memory, Trauma, Recall (Psychology), Females
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Wiskow, Katie M.; Matter, Ashley L.; Donaldson, Jeanne M. – Analysis of Verbal Behavior, 2018
A lag schedule of reinforcement is one way to increase response variability; however, previous research has been mixed with regard to the necessary parameters to increase variability. For some individuals, low schedule requirements (e.g., Lag 1) are sufficient to increase variability. For other individuals, higher lag schedules (e.g., Lag 3) or a…
Descriptors: Prompting, Naming, Children, Autism
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Huang, Po-Sheng; Liu, Cheng-Hong; Chen, Hsueh-Chih; Sommers, Scott – Social Psychology of Education: An International Journal, 2018
The main goals of the present study were to investigate the effects of outcome valence on attentional bias toward feedback and examine the internal mechanism of self-defense. We systematically manipulated the outcome valence by providing a bogus score in a rational thinking task and recorded the time positive feedback and negative feedback was…
Descriptors: Student Attitudes, Negative Attitudes, Feedback (Response), Positive Attitudes
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Bolt, Daniel M.; Kim, Jee-Seon – Journal of Educational Measurement, 2018
Cognitive diagnosis models (CDMs) typically assume skill attributes with discrete (often binary) levels of skill mastery, making the existence of skill continuity an anticipated form of model misspecification. In this article, misspecification due to skill continuity is argued to be of particular concern for several CDM applications due to the…
Descriptors: Cognitive Measurement, Models, Mastery Learning, Accuracy
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Palmer, Mark; deKervenoael, Ronan; Jacob, Dimitry – Studies in Higher Education, 2018
Although university traditions can be fun, they are 'not just for fun'. Moving beyond the visual quaint imagery of university traditions, this study explores the workings of institutional traditions during the everyday consumption of pedagogic innovation. The study employs a Reader-Response Theory, a prominent school of literary criticism, of two…
Descriptors: Textbooks, Universities, School Culture, Instructional Innovation
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Lee, Sunbok; Choi, Youn-Jeng; Cohen, Allan S. – International Journal of Assessment Tools in Education, 2018
A simulation study is a useful tool in examining how validly item response theory (IRT) models can be applied in various settings. Typically, a large number of replications are required to obtain the desired precision. However, many standard software packages in IRT, such as MULTILOG and BILOG, are not well suited for a simulation study requiring…
Descriptors: Item Response Theory, Simulation, Replication (Evaluation), Automation
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Qian, Meihua; Plucker, Jonathan A. – Creativity Research Journal, 2018
Creativity is increasingly identified as a key educational outcome at the local, regional, and national levels in several countries. Yet one key issue about the nature of creativity remains controversial: Whether creativity is domain specific or domain general. Resolving this issue would significantly impact the way creativity is identified,…
Descriptors: College Students, Creativity, Item Response Theory, Creativity Tests
Scott, Marcus W. – ProQuest LLC, 2018
One way that examinees can gain an unfair advantage on a test is by having prior access to the test questions and their answers, known as preknowledge. Determining which examinees had preknowledge can be a difficult task. Sometimes, the compromised test content that examinees use to get preknowledge has mistakes in the answer key. Examinees who…
Descriptors: Cheating, Answer Keys, Tests, Identification
Walker, Kelsie H. – ProQuest LLC, 2018
Broadly, this dissertation is an investigation of writing center reporting practices. Using Rhetorical Genres Studies, I surveyed writing center administrators and examined twelve writing center reports to understand the reports' social action, or what reports accomplished for their users and audiences. My findings showed that reports primarily…
Descriptors: Writing (Composition), Laboratories, Reports, Accountability
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