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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
Geoffrey Currie; Josie Currie; Sam Anderson; Johnathan Hewis – Health Education Journal, 2024
Introduction: In Australia, 54.3% of medical students are women yet they remain under-represented in stereotypical perspectives of medicine. While potentially transformative, generative artificial intelligence (genAI) has the potential for errors, misrepresentations and bias. GenAI text-to-image production could reinforce gender biases making it…
Descriptors: Gender Bias, Artificial Intelligence, Computer Software, Medical Education
Treiman, Rebecca; Hulslander, Jacqueline; Olson, Richard K.; Samuelsson, Stefan; Elwér, Åsa; Furnes, Bjarte; Byrne, Brian – Scientific Studies of Reading, 2023
Purpose: Using data from 1,868 children from the US, Australia, and Sweden who took a 10-word spelling test in kindergarten and a standardized spelling test in Grades 1, 2, and (except for the Australian children) Grade 4, we examined two questions. First, does the quality of a child's errors on the kindergarten test help predict later spelling…
Descriptors: Prediction, Spelling, Kindergarten, Foreign Countries
Andrews, Sally; Veldre, Aaron; Wong, Roslyn; Yu, Lili; Reichle, Erik D. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
Facilitated identification of predictable words during online reading has been attributed to the generation of predictions about upcoming words. But highly predictable words are relatively infrequent in natural texts, raising questions about the utility and ubiquity of anticipatory prediction strategies. This study investigated the contribution of…
Descriptors: Aging (Individuals), Eye Movements, Reading Processes, Prediction
Hopkins, Sarah; Russo, James; Siegler, Robert – Mathematical Thinking and Learning: An International Journal, 2022
There is a growing awareness that many children are not developing fast and accurate retrieval-based strategies for solving single-digit addition problems. In this study we individually assessed 166 third and fourth grade children to identify a group of children (called accurate-min-counters) who frequently solved simple single-digit addition…
Descriptors: Addition, Grade 3, Grade 4, Elementary School Students
Daffern, Tessa; Fleet, Robert – Australian Journal of Learning Difficulties, 2021
Empirical evidence supports the view that explicit teaching can make a positive difference to learning; however, further research is needed to understand the impact on learning to spell if spelling error analysis is used to inform explicit spelling instruction. This paper presents findings of an intervention study involving 572 students in Years 3…
Descriptors: Teaching Methods, Instructional Effectiveness, Spelling Instruction, Intervention
Grainger, Jonathan; Beyersmann, Elisabeth – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2021
Two masked priming experiments investigated the impact of prime lexicality (word vs. nonword) and the pseudo-morphological structure of prime stimuli (pseudosuffixed vs. nonsuffixed) on embedded word priming effects. In the related prime conditions, target words were embedded at the beginning of prime stimuli and were followed either by a…
Descriptors: Morphology (Languages), Morphemes, Priming, Decision Making
Shelley, Mack, Ed.; Akerson, Valarie, Ed.; Sahin, Ismail, Ed. – International Society for Technology, Education, and Science, 2022
"Proceedings of International Conference on Social and Education Sciences" includes full papers presented at the International Conference on Social and Education Sciences (IConSES), which took place on October 13-16, 2022, in Austin, Texas. The aim of the conference is to offer opportunities to share ideas, discuss theoretical and…
Descriptors: Mental Health, COVID-19, Pandemics, Nursing Students