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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
Daffern, Tessa; Mackenzie, Noella Maree – Literacy, 2020
Spelling is a key transcription skill for writing. While little is understood about the particular challenges some students experience when learning to spell, explicit instruction is known to improve spelling performance. The study reported in this article draws on eight case studies from a larger Australian mixed-methods study examining spelling…
Descriptors: Teacher Attitudes, Student Attitudes, Foreign Countries, Error Patterns
Chin, Kin Eng; Pierce, Robyn – EURASIA Journal of Mathematics, Science and Technology Education, 2019
Undergraduate mathematics instructors often report that students make careless errors or have not previously learned key mathematical ideas and strategies. The purpose of this study is to explore evidence of an alternative explanation that at least some of these "errors" may result from students' application of conceptions developed in…
Descriptors: College Freshmen, College Mathematics, Mathematical Concepts, Concept Formation
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
Yilmaz, H. Merve Altiparmak; Demir, Necati – International Education Studies, 2020
The purpose of this study is to describe the errors made by Turks living in Sydney, Australia in Turkish written texts. The mistakes identified in the texts were handled with the error analysis approach and evaluated according to their linguistic, cognitive processing, communicative, spelling and punctuation characteristics. Content analysis…
Descriptors: Foreign Countries, Adults, Youth, Writing Skills
Castles, Anne; Polito, Vince; Pritchard, Stephen; Anandakumar, Thushara; Coltheart, Max – Australian Journal of Learning Difficulties, 2018
Nonword reading measures are widely used to index children's phonics knowledge, and are included in the Phonics Screening Check currently implemented in England and under consideration in Australia. However, critics have argued that the use of nonword measures disadvantages good readers, as they will be influenced by their strong lexical knowledge…
Descriptors: Reading Tests, Phonics, Error Patterns, Elementary School Students
Ball, Lynda – International Journal for Technology in Mathematics Education, 2018
This paper provides a set of five indicators of CAS use, which provide a means to analyse a student's written solution to determine whether they used CAS for solving a given problem. These indicators provide a way for researchers and teachers to determine CAS use without requiring classroom observation or the explicit recording of extra…
Descriptors: Computer Uses in Education, Handheld Devices, Calculators, Algebra
Kinoshita, Sachiko; De Wit, Bianca; Norris, Dennis – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2017
In 2 variants of the color-word Stroop task, we compared 5 types of color-neutral distractors--real words (e.g., "HAT"), pseudowords (e.g., "HIX"), consonant strings (e.g., "HDK"), symbol strings (e.g., #$%), and a row of Xs (e.g., "XXX")--as well as incongruent color words (e.g., "GREEN" displayed…
Descriptors: Color, Interference (Learning), Reaction Time, Visual Stimuli
Cronin, Anthony; Intepe, Gizem; Shearman, Donald; Sneyd, Alison – International Journal of Mathematical Education in Science and Technology, 2019
This paper explores analysis of feedback data collected from student consultations at two mathematics support centres at universities in Australia and Ireland. Unstructured text data was collected over six years and includes qualitative data on student queries collected during the consultations from mathematics and statistics related subjects.…
Descriptors: Natural Language Processing, Feedback (Response), Mathematics Instruction, Academic Support Services
Dube, Sithembinkosi; Kung, Carmen; Brock, Jon; Demuth, Katherine – Language Acquisition: A Journal of Developmental Linguistics, 2019
Recent ERP research with adults has shown that the online processing of subject-verb (S-V) agreement violations is mediated by the relative perceptual salience of the violation (Dube et al. 2016). These findings corroborate infant perception research, which has also shown that perceptual salience influences infants' sensitivity to grammatical…
Descriptors: Language Processing, Language Acquisition, Brain Hemisphere Functions, Grammar