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Showing 1 to 15 of 22 results Save | Export
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Chi Hong Leung; Winslet Ting Yan Chan – Asian Journal of Contemporary Education, 2025
This paper explores the efficacy of ChatGPT, a generative artificial intelligence in educational contexts, particularly concerning its potential to assist students in overcoming academic challenges while highlighting its limitations. ChatGPT is suitable for solving general problems. When a student comes across academic challenges, ChatGPT may…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Error Patterns
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Shari Cavicchi; Abdulaziz Abubshait; Giulia Siri; Magda Mustile; Francesca Ciardo – Cognitive Research: Principles and Implications, 2025
Cognitive load occurs when the demands of a task surpass the available processing capacity, straining mental resources and potentially impairing performance efficiency, such as increasing the number of errors in a task. Owing to its ubiquity in real-world scenarios, the existence of offloading strategies to reduce cognitive load is not new to…
Descriptors: Robotics, Psychological Patterns, Cognitive Processes, Computer Software
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Pham Sy Nam; Ngoc-Giang Nguyen; Hoa Anh Tuong; Ben Haas; Zsolt Lavicza; Yves Kreis – International Journal for Technology in Mathematics Education, 2023
Problem-based learning puts students in situations that suggest problems without providing instructions and available knowledge. Therefore, when using problem-based learning, students need to be flexible, self-disciplined, active and self-occupied with knowledge and turn the knowledge the teacher intends to impart into their knowledge. For locus…
Descriptors: Computer Software, Mathematics Instruction, Teaching Methods, Problem Based Learning
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Ochieng, Dunlop – Journal of Learning and Teaching in Digital Age, 2019
Education sector has embraced and increasingly use digital technologies to address its longstanding challenges. However, considering that every technology has its limitations, I evaluated the progress of citation and reference technologies in solving the chronic problem of plagiarism in academic writing. In this pursuit, I confirmed with several…
Descriptors: Educational Technology, Citations (References), Plagiarism, Error Patterns
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Wanner, Amanda; Baumann, Niki – Research Synthesis Methods, 2019
Background: Both PubMed and Ovid MEDLINE contain records from the MEDLINE database. However, there are subtle differences in content, functionality, and search syntax between the two. There are many instances in which researchers may wish to search both interfaces, such as when conducting supplementary searching for a systematic review to retrieve…
Descriptors: Search Strategies, Databases, Medical Research, Medical Evaluation
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Chae-Eun Kim – Journal of Pan-Pacific Association of Applied Linguistics, 2022
This study explores how Korean-to-English machine translation (MT) systems (e.g., Google Translator, NAVER Papago) deal with Korean passive structures. Cross-linguistically, Korean and English passives show different ways to construct passive-voice sentences from active structure. English passives including with [to be + past participle] may have…
Descriptors: Korean, English (Second Language), Second Language Learning, Second Language Instruction
UK Department for Education, 2024
This report sets out the findings of the technical development work completed as part of the Use Cases for Generative AI in Education project, commissioned by the Department for Education (DfE) in September 2023. It has been published alongside the User Research Report, which sets out the findings from the ongoing user engagement activity…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Software, Computational Linguistics
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Woodworth, Johanathan; Barkaoui, Khaled – TESL Canada Journal, 2020
While feedback is widely considered essential for second language (L2) writing development (Bitchener & Ferris, 2012), teachers may not always be able to provide their learners with immediate and frequent corrective feedback. Automated writing evaluation (AWE) systems can help respond to this challenge by providing L2 learners with written…
Descriptors: Writing Evaluation, Feedback (Response), Error Correction, Second Language Instruction
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Hodgson, Paula; Corolla, Kristof; Ho, Wai Yee Angel – International Association for Development of the Information Society, 2018
Instilling a creative mind is the foundation to prepare future architecture students. University educators can adopt an iterative approach in which students go through cycles of learning. This paper reports student experiences on a three-cycle team project in an architecture course that was part of a master program. This consisted of the group…
Descriptors: Cooperative Learning, Creativity, Architectural Education, Reflection
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Brown, Neil C. C.; Altadmri, Amjad – ACM Transactions on Computing Education, 2017
Teaching is the process of conveying knowledge and skills to learners. It involves preventing misunderstandings or correcting misconceptions that learners have acquired. Thus, effective teaching relies on solid knowledge of the discipline, but also a good grasp of where learners are likely to trip up or misunderstand. In programming, there is much…
Descriptors: Novices, Programming Languages, Programming, Error Patterns
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Johnson, Douglas A.; Dickinson, Alyce M. – Psychological Record, 2012
Self-pacing, although often seen as one of the primary benefits of computer-based instruction (CBI), can also result in an important problem, namely, computer-based racing. Computer-based racing is when learners respond so quickly within CBI that mistakes are made, even on well-known material. This study compared traditional CBI with two forms of…
Descriptors: Computer Assisted Instruction, Scores, Feedback (Response), Comparative Analysis
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Caputi, Peter; Chan, Amy; Jayasuriya, Rohan – British Journal of Educational Technology, 2011
This paper examined the impact of training strategies on the types of errors that novice users make when learning a commonly used spreadsheet application. Fifty participants were assigned to a counterfactual thinking training (CFT) strategy, an error management training strategy, or a combination of both strategies, and completed an easy task…
Descriptors: Spreadsheets, Training Methods, Transfer of Training, Student Evaluation
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Vallejo, G.; Fernandez, M. P.; Livacic-Rojas, P. E.; Tuero-Herrero, E. – Multivariate Behavioral Research, 2011
Missing data are a pervasive problem in many psychological applications in the real world. In this article we study the impact of dropout on the operational characteristics of several approaches that can be easily implemented with commercially available software. These approaches include the covariance pattern model based on an unstructured…
Descriptors: Personality Problems, Psychosis, Prevention, Patients
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Nordstokke, David W.; Zumbo, Bruno D. – Journal of Educational Research & Policy Studies, 2007
The central messages of this paper are that (a) unequal variances may be more prevalent than typically imagined in educational and policy research, and (b) when considering tests of equal variances one needs to be cautious about what is being referred to as "Levene's test" because Levene's test is actually a family of techniques. Depending on…
Descriptors: Statistical Analysis, Educational Policy, Educational Research, Computer Software
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Gill, M.; Greenhow, M. – Teaching Mathematics and Its Applications: An International Journal of the IMA, 2007
This article describes pedagogic issues in setting objective tests in mechanics using Question Mark Perception, coupled with MathML mathematics mark-up and the Scalable Vector Graphics (SVG) syntax for producing diagrams. The content of the questions (for a range of question types such as multi-choice, numerical input and variants such as…
Descriptors: Scripts, Syntax, Objective Tests, Feedback (Response)
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