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Showing 1 to 15 of 199 results Save | Export
Jiaying Xiao – ProQuest LLC, 2024
Multidimensional Item Response Theory (MIRT) has been widely used in educational and psychological assessments. It estimates multiple constructs simultaneously and models the correlations among latent constructs. While it provides more accurate results, the unidimensional IRT model is still dominant in real applications. One major reason is that…
Descriptors: Item Response Theory, Algorithms, Computation, Efficiency
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Emmanuel Fokides; Eirini Peristeraki – Education and Information Technologies, 2025
This research analyzed the efficacy of ChatGPT as a tool for the correction and provision of feedback on primary school students' short essays written in both the English and Greek languages. The accuracy and qualitative aspects of ChatGPT-generated corrections and feedback were compared to that of educators. For the essays written in English, it…
Descriptors: Artificial Intelligence, Error Correction, Feedback (Response), Elementary School Students
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Jussi S. Jauhiainen; Agustin Bernardo Garagorry Guerra – Journal of Information Technology Education: Innovations in Practice, 2025
Aim/Purpose: This article investigates the process of identifying and correcting hallucinations in ChatGPT-4's recall of student-written responses as well as its evaluation of these responses, and provision of feedback. Effective prompting is examined to enhance the pre-evaluation, evaluation, and post-evaluation stages. Background: Advanced Large…
Descriptors: Artificial Intelligence, Student Evaluation, Writing Evaluation, Feedback (Response)
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Gregorcic, Bor; Pendrill, Ann-Marie – Physics Education, 2023
We present a case study of a conversation between ourselves and an artificial intelligence-based chatbot ChatGPT. We asked the chatbot to respond to a basic physics question that will be familiar to most physics teachers: 'A teddy bear is thrown into the air. What is its acceleration in the highest point?' The chatbot's responses, while…
Descriptors: Artificial Intelligence, Physics, Science Instruction, Scientific Concepts
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Nunn, Kristen; Vallila-Rohter, Sofia; Middleton, Erica L. – Journal of Speech, Language, and Hearing Research, 2023
Purpose: Increasingly, mechanisms of learning are being considered during aphasia rehabilitation. Well-characterized learning mechanisms can inform "how" interventions should be administered to maximize the acquisition and retention of treatment gains. This systematic scoping review mapped hypothesized mechanisms of action (MoAs) and…
Descriptors: Aphasia, Rehabilitation, Naming, Learning Processes
Vitello, Sylvia; Crisp, Victoria; Ireland, Jo – Research Matters, 2023
Assessment materials must be checked for errors before they are presented to candidates. Any errors have the potential to reduce validity. For example, in the most extreme cases, an error may turn an otherwise well-designed exam question into one that is impossible to answer. In Cambridge University Press & Assessment, assessment materials are…
Descriptors: Check Lists, Test Validity, Error Correction, Test Construction
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Yasar C. Kakdas; Sinan Kockara; Tansel Halic; Doga Demirel – IEEE Transactions on Learning Technologies, 2024
This article presents a 3-D medical simulation that employs reinforcement learning (RL) and interactive RL (IRL) to teach and assess the procedure of donning and doffing personal protective equipment (PPE). The simulation is motivated by the need for effective, safe, and remote training techniques in medicine, particularly in light of the COVID-19…
Descriptors: Medical Education, Error Patterns, Error Correction, Reinforcement
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Ana Lidia Franzoni Velázquez; Esperanza Huerta; Scott Jensen – Discover Education, 2024
This two-part study describes a learning exercise including a video and a worksheet designed to raise students' awareness of the need to evaluate the completeness of references generated by ChatGPT. The first part of the study assesses the completeness and relevance of academic references generated by ChatGPT using four prompts and three versions…
Descriptors: Artificial Intelligence, Students, Instructional Material Evaluation, Computer Assisted Instruction
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Haiyang Sun; Mingchao Wang – Language Teaching Research, 2025
Peer feedback has been widely used in English as a foreign language (EFL) writing classes, but its effect is highly variable and its quality and validity are often questioned by students as well as teachers. This research aims to explore the effects of teacher intervention on student use of different types of peer feedback and on their…
Descriptors: English (Second Language), Second Language Instruction, Writing Instruction, Peer Evaluation
Way, Jennifer; Cartwright, Katherin – Mathematics Education Research Group of Australasia, 2023
This paper presents an initial analysis of 10 Preschool children's responses to a look-draw-trace-draw task. The findings suggest that figure-tracing helped half the children to produce a more accurate representation of the geometric figure presented to them, in their second drawing.
Descriptors: Freehand Drawing, Mathematics Instruction, Preschool Children, Preschool Education
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Schneider, Johannes; Richner, Robin; Riser, Micha – International Journal of Artificial Intelligence in Education, 2023
Autograding short textual answers has become much more feasible due to the rise of NLP and the increased availability of question-answer pairs brought about by a shift to online education. Autograding performance is still inferior to human grading. The statistical and black-box nature of state-of-the-art machine learning models makes them…
Descriptors: Grading, Natural Language Processing, Computer Assisted Testing, Ethics
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Karim Sadeghi; Maryam Esmaeeli – RELC Journal: A Journal of Language Teaching and Research, 2024
Corrective feedback (CF) has long been a hot topic in language education circles and has received extensive research attention. However, there is still controversy over the effectiveness of CF use and error correction in language classes. To address this discrepancy, the current study probed the effectiveness of different CF types in improving…
Descriptors: Writing (Composition), Writing Evaluation, Feedback (Response), Accuracy
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Hailay Tesfay Gebremariam – SAGE Open, 2024
Although, written corrective feedback (hereafter referred to as CF) is applauded in many writing courses for fostering students' quality writing, its impact on grammatical accuracy in L2 students' writing remains a debated topic. Thus, this study looked into the effect of CF types on L2 students' grammatical accuracy in writing. To achieve this…
Descriptors: Outcomes of Education, Written Language, Feedback (Response), Error Correction
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Yuanfang Liu; Mark H. C. Lai; Ben Kelcey – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Measurement invariance holds when a latent construct is measured in the same way across different levels of background variables (continuous or categorical) while controlling for the true value of that construct. Using Monte Carlo simulation, this paper compares the multiple indicators, multiple causes (MIMIC) model and MIMIC-interaction to a…
Descriptors: Classification, Accuracy, Error of Measurement, Correlation
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Naujoks, Nick; Harder, Bettina; Händel, Marion – Metacognition and Learning, 2022
Two studies investigated the testing effects on performance and on metacognitive judgment accuracy in authentic learning settings. Across two educational psychology courses, undergraduate students had the opportunity to voluntarily participate in four different practice tests during the term--without feedback in Study 1 (N = 201 students) or with…
Descriptors: Metacognition, Accuracy, Tests, Test Preparation
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