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Julie Y. L. Chow; Jessica C. Lee; Peter F. Lovibond – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2024
People often rely on the covariation between events to infer causality. However, covariation between cues and outcomes may change over time. In the associative learning literature, extinction provides a model to study updating of causal beliefs when a previously established relationship no longer holds. Prediction error theories can explain both…
Descriptors: Beliefs, Learning Processes, Foreign Countries, Attribution Theory
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Miedema, Daphne; Fletcher, George; Aivaloglou, Efthimia – ACM Transactions on Computing Education, 2023
Prior studies in the Computer Science education literature have illustrated that novices make many mistakes in composing SQL queries. Query formulation proves to be difficult for students. Only recently, some headway was made towards understanding why SQL leads to so many mistakes, by uncovering student misconceptions. In this article, we shed new…
Descriptors: Computer Science Education, Novices, Misconceptions, Programming Languages
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Costello, Eamon; Johnston, Keith; Wade, Vincent – Interactive Learning Environments, 2023
This research investigated how the bug tracker database of the Virtual Learning Environment (VLE) Moodle is developed as an application of crowd work. The bug tracker is used by software developers, who write and maintain Moodle's code, but also by a wider public world of ordinary Moodle users who can report bugs. Despite many studies of the…
Descriptors: Electronic Learning, Educational Technology, Computer Software, Cooperation
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Ewing, Louise; Mares, Inês; Edwards, S. Gareth; Smith, Marie L. – Developmental Psychology, 2023
It is considerably harder to generalize identity across different pictures of unfamiliar faces, compared with familiar faces. This finding hints strongly at qualitatively distinct processing of unfamiliar face stimuli--for which we have less expertise. Yet, the extent to which face selective versus generic visual processes drive outcomes during…
Descriptors: Cognitive Processes, Human Body, Accuracy, Task Analysis
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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Emma Brooks – Multilingua: Journal of Cross-Cultural and Interlanguage Communication, 2025
Researching in heterogeneous communities can present challenges for the most experienced of researchers, especially in the context of ethnographic work, where the dynamism and unpredictability of a research setting can make it difficult to anticipate the languages spoken. Drawing on data from multilingual health consultations, I reflect on…
Descriptors: Multilingualism, Ethnography, Second Language Learning, Health Services
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Burfitt, Joan – Australian Journal of Education, 2021
The aim of this study was to show that some of the errors made by students when responding to mathematics assessment items can indicate progress in the development of conceptual understanding. By granting partial credit for specific incorrect responses by early secondary students, estimates of the difficulty of demonstrating full and partial…
Descriptors: Mathematics Tests, Test Items, Concept Formation, Mathematical Concepts
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Alim, Sophia – SAGE Open, 2021
Although the web accessibility of universities around the world is well documented, much remains unknown about this aspect of higher education institutions in the UK. Using three automated web accessibility tools (TAW, WAVE and EIII Page Checker), this study explores the accessibility of the homepages of 66 research-intensive universities with…
Descriptors: Web Sites, Access to Information, Accessibility (for Disabled), Usability
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Song, Qiuyuan – English Language Teaching, 2021
This study aims to explore how corpus-based approaches can be used to address the distinctions of English near-synonyms effectively. Especially, it collected source data from the British National Corpus (BNC) and adopted Sketch Engine (SkE) as an analyzing tool to compare the near synonymous pair "damage" and "destroy" commonly…
Descriptors: Computational Linguistics, Phrase Structure, English, Language Usage