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Kögce, Davut – Educational Policy Analysis and Strategic Research, 2022
This study was conducted to identify mathematical errors and mistakes made by preservice elementary mathematics teachers in the calculus course. To that end, the document analysis method of qualitative research models was used in the research. The sample of the research included a total of 75 preservice teachers who were attending the Department…
Descriptors: Calculus, Preservice Teachers, Preservice Teacher Education, Mathematics Teachers
Cheung, Pierina; Toomey, Mary; Jiang, Yahao Harry; Stoop, Tawni B.; Shusterman, Anna – Developmental Science, 2022
Studies on children's understanding of counting examine when and how children acquire the cardinal principle: the idea that the last word in a counted set reflects the cardinal value of the set. Using Wynn's (1990) Give-N Task, researchers classify children who can count to generate large sets as having acquired the cardinal principle…
Descriptors: Computation, Performance, Number Concepts, Numeracy
Castro, Encarnación; Cañadas, María C.; Molina, Marta; Rodríguez-Domingo, Susana – Educational Studies in Mathematics, 2022
This paper describes the difficulties faced by a group of middle school students (13- to 15-year-olds) attempting to translate algebraic statements written in verbal language into symbolic language and vice versa. The data used were drawn from their replies to a written quiz and semi-structured interviews. In the former, students were confronted…
Descriptors: Algebra, Middle School Students, Translation, Symbolic Language
Jahnke, Maximilian; Höppner, Frank – International Educational Data Mining Society, 2022
The value of an instructor is that she exactly recognizes what the learner is struggling with and provides constructive feedback straight to the point. This work aims at a step towards this type of feedback in the context of an introductory programming course, where students perform program execution tracing to align their understanding of Java…
Descriptors: Programming, Coding, Computer Science Education, Error Patterns
Joo, Seang-Hwane; Lee, Philseok – Journal of Educational Measurement, 2022
Abstract This study proposes a new Bayesian differential item functioning (DIF) detection method using posterior predictive model checking (PPMC). Item fit measures including infit, outfit, observed score distribution (OSD), and Q1 were considered as discrepancy statistics for the PPMC DIF methods. The performance of the PPMC DIF method was…
Descriptors: Test Items, Bayesian Statistics, Monte Carlo Methods, Prediction
Moru, Eunice Kolitsoe; Mathunya, Motlatsi – Journal of Research and Advances in Mathematics Education, 2022
Algebra is an important branch of mathematics which applies to many fields related to mathematics. However, many studies show algebra as posing problems even to the most gifted students. This phenomenon, therefore, necessitates more studies to be conducted in this area. As such, the study explored the types of errors that Grade 8 learners…
Descriptors: Constructivism (Learning), Error Patterns, Misconceptions, Algebra
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
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
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
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
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
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
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
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
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