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Marwan, Samiha; Akram, Bita; Barnes, Tiffany; Price, Thomas W. – IEEE Transactions on Learning Technologies, 2022
Theories on learning show that formative feedback that is immediate, specific, corrective, and positive is essential to improve novice students' motivation and learning. However, most prior work on programming feedback focuses on highlighting student's mistakes, or detecting failed test cases after they submit a solution. In this article, we…
Descriptors: Feedback (Response), Formative Evaluation, Programming, Coding
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Dubrow, Joshua K. – International Journal of Social Research Methodology, 2022
The COVID 19 pandemic illuminates the role data has in public policy-making, i.e. datafication of society, and the importance of exploring the local sources of data to reveal errors in what has assuredly been from the beginning an undercount of cases and deaths. I note four interrelated error sources. The first two are common to any quantitative…
Descriptors: Data Use, COVID-19, Pandemics, Data Collection
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Marice – Eurasian Journal of Applied Linguistics, 2022
This study examined a few narrative texts accessed online from kompas.com and translated from Indonesian into French with the help of "Bing Translator," which is a multilingual machine translation cloud service of Microsoft Corporation. This study used a qualitative approach to analyze the translated texts, with the view to identify the…
Descriptors: Indonesian, French, Translation, Grammar
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Georgia Andreou; Vasiliki Aslanoglou; Vasiliki Lymperopoulou; Filippos Vlachos – European Journal of Special Needs Education, 2024
The present study aims to investigate the written language production in Greek of Developmental Language Disorder (DLD) children and compare it to that of typically developing (TD) children matched for gender and chronological age. The participants of the study were 31 children with DLD (7.6 years old) and 31 TD children (7.7 years old). All the…
Descriptors: Morphology (Languages), Phonological Awareness, Error Patterns, Written Language
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Isaac N. Treves; Jonathan Cannon; Eren Shin; Cindy E. Li; Lindsay Bungert; Amanda O'Brien; Annie Cardinaux; Pawan Sinha; John D. E. Gabrieli – Journal of Autism and Developmental Disorders, 2024
Some theories have proposed that autistic individuals have difficulty learning predictive relationships. We tested this hypothesis using a serial reaction time task in which participants learned to predict the locations of a repeating sequence of target locations. We conducted a large-sample online study with 61 autistic and 71 neurotypical…
Descriptors: Autism Spectrum Disorders, Adults, Learning Processes, Visual Perception
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Terri L. Kurz; Mi Yeon Lee – School Science and Mathematics, 2024
Recognizing, building, describing, extending, and analyzing patterns are key components of algebraic reasoning. Oftentimes pattern-based instruction is used to support the understanding of functions and variables. In this study, elementary preservice teachers (n = 23) were asked to explore, extend, explain, create equations for, and analyze…
Descriptors: Elementary School Teachers, Preservice Teachers, Numbers, Error Patterns
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Hannah Sawyer; Colin Bannard; Julian Pine – Developmental Science, 2024
There is substantial evidence that children's apparent omission of grammatical morphemes in utterances such as "She play tennis" and "Mummy eating" is in fact errors of commission in which contextually licensed unmarked forms encountered in the input are reproduced in a context-blind fashion. So how do children stop making such…
Descriptors: Verbs, Computational Linguistics, Preschool Children, Grammar
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Eva Viviani; Michael Ramscar; Elizabeth Wonnacott – Cognitive Science, 2024
Ramscar, Yarlett, Dye, Denny, and Thorpe (2010) showed how, consistent with the predictions of error-driven learning models, the order in which stimuli are presented in training can affect category learning. Specifically, learners exposed to artificial language input where objects preceded their labels learned the discriminating features of…
Descriptors: Symbolic Learning, Learning Processes, Artificial Intelligence, Prediction
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Esty Saraswati Nur Hartiningrum; Subanji; I. Made Sulandra – Mathematics Teaching Research Journal, 2024
Students' experience errors in solving proportional problems and prospective teachers' experience were the same thing. Research that explained the wrong strategy for understanding proportional problems still needed to be completed. Objectives to describe the wrong strategies chosen by prospective teachers in solving proportional questions and the…
Descriptors: Preservice Teachers, Error Patterns, Mathematics Instruction, Teaching Methods
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Maria Nielsen Stewart; Noah Brown; Amber Candela; Samuel Otten; Zandra de Araujo – Mathematics Teacher: Learning and Teaching PK-12, 2025
The authors developed an instructional nudges as part of a larger research project. These instructional nudges are designed to be small but powerful changes to teachers' existing practices. Some instructional nudges focus on modifying tasks used in classrooms. In this article, the authors share Rate and Review. The goal of Rate and Review is to…
Descriptors: Teaching Methods, Mathematics Instruction, Persuasive Discourse, Task Analysis
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Yu-Ju Lan; Scott Grant; Hui-Chin Yeh – Educational Technology & Society, 2025
This study investigated the use of virtual chatbots in a 3D multi-user virtual environment (3D MUVE) to enhance the communication skills of Chinese as a foreign language (CFL) learners. Several virtual chat agents, developed using pattern matching techniques and embedded in Second Life, created a blended learning environment in which CFL learners…
Descriptors: Artificial Intelligence, Communication Skills, Educational Technology, Technology Uses in Education
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Leonard J. Mselle – Discover Education, 2025
In this paper the "Memory Transfer Language" program visualization (MTL PV) technique is combined with "constructivism" ("conceptual contraposition and colloquy") and "reversibility" to evolve a new approach for instructional design for teaching and learning introductory programming. A sample of 1,364…
Descriptors: Introductory Courses, Computer Science Education, Constructivism (Learning), Comparative Analysis
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Silvia Di Battista – British Journal of Educational Psychology, 2025
Background: According to gender-differentiated attributions of failure in the STEM field, errors tend to be attributed to internal factors more to girls than to boys. Aims: This experimental study explored factors influencing gender-differentiated teachers' internal attributions of girls' and boys' errors and the consequent likelihood of teachers'…
Descriptors: Gender Differences, Failure, Attribution Theory, STEM Education
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Ozlem Ozan; Yasin Ozarslan; Sevgi Calisir Zenci – Turkish Online Journal of Distance Education, 2025
This study analyzed linguistic errors as part of the Differentiated Distance Education of Turkish as a Foreign Language Project, which pursues the development of an adaptive MOOC for Turkish as a second language. Therefore, the Turkish CEFR (Common European Framework of Reference for Languages) A1-level writing exam papers of 177 learners were…
Descriptors: MOOCs, Language Patterns, Language Usage, Error Patterns
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Toni Taipalus; Hilkka Grahn; Saima Ritonummi; Valtteri Siitonen; Tero Vartiainen; Denis Zhidkikh – ACM Transactions on Computing Education, 2025
SQL compiler error messages are the primary way users receive feedback when they encounter syntax errors or other issues in their SQL queries. Effective error messages can enhance the user experience by providing clear, informative, and actionable feedback. Despite the age of SQL compilers, it still remains largely unclear what contributes to an…
Descriptors: Computer Science Education, Novices, Information Systems, Programming Languages
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