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Matt Homer – Advances in Health Sciences Education, 2024
Quantitative measures of systematic differences in OSCE scoring across examiners (often termed examiner stringency) can threaten the validity of examination outcomes. Such effects are usually conceptualised and operationalised based solely on checklist/domain scores in a station, and global grades are not often used in this type of analysis. In…
Descriptors: Examiners, Scoring, Validity, Cutting Scores
Yunsung Kim; Jadon Geathers; Chris Piech – International Educational Data Mining Society, 2024
"Stochastic programs," which are programs that produce probabilistic output, are a pivotal paradigm in various areas of CS education from introductory programming to machine learning and data science. Despite their importance, the problem of automatically grading such programs remains surprisingly unexplored. In this paper, we formalize…
Descriptors: Grading, Automation, Accuracy, Programming
Katherine Williams; Chenmu Xing; Kolbi Bradley; Hilary Barth; Andrea L. Patalano – Journal of Numerical Cognition, 2023
Recent work reveals a left digit effect in number line estimation such that adults' and children's estimates for three-digit numbers with different hundreds-place digits but nearly identical magnitudes are systematically different (e.g., 398 is placed too far to the left of 401 on a 0-1000 line, despite their almost indistinguishable magnitudes;…
Descriptors: Computation, Visual Aids, Feedback (Response), Undergraduate Students
Crystal Uminski; Dina L. Newman; L. Kate Wright – CBE - Life Sciences Education, 2025
Molecular biology can be challenging for undergraduate students because it requires visual literacy skills to interpret abstract representations of submicroscopic concepts, structures, and processes. The Conceptual-Reasoning-Mode framework suggests that visual literacy relies on applying conceptual knowledge to appropriately reason with the…
Descriptors: Visual Literacy, Student Attitudes, Molecular Biology, Genetics
J. Staal; K. Katarya; M. Speelman; R. Brand; J. Alsma; J. Sloane; W. W. Van den Broek; L. Zwaan – Advances in Health Sciences Education, 2024
Diagnostic errors are a major, largely preventable, patient safety concern. Error interventions cannot feasibly be implemented for every patient that is seen. To identify cases at high risk of error, clinicians should have a good calibration between their perceived and actual accuracy. This experiment studied the impact of feedback on medical…
Descriptors: Performance, Feedback (Response), Medical Students, Graduate Medical Education
Falakfarsa, Galan; Brand, Denys; Bensemann, Joshua; Jones, Lea; Miguel, Caio F.; Heinicke, Megan R.; Mason, Makenna A. – Journal of Applied Behavior Analysis, 2023
Procedural fidelity is defined as the extent to which the independent variable is implemented as prescribed. Research using computerized tasks has shown that fidelity errors involving consequences for behavior can hinder skill acquisition. However, studies examining the effects of these errors once skills have been mastered are lacking. Thus, this…
Descriptors: Fidelity, Error Patterns, Mastery Learning, Task Analysis
Popov, Vencislav; So, Matthew; Reder, Lynne M. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
Normative word frequency has played a key role in the study of human memory, but there is little agreement as to the mechanism responsible for its effects. To determine whether word frequency affects binding probability or memory precision, we used a continuous reproduction task to examine working memory for spatial positions of words. In three…
Descriptors: Short Term Memory, Word Frequency, Error Patterns, Mnemonics
Chunsong Jiang; Xuan Chen; Aiping Yu; Guiqin Liang – Education and Information Technologies, 2025
Assignments and tests are the main forms of evaluation in the educational process, students usually lose interest in boring exercises during course learning. In spired of elements from human-computer battle game, a course test system is designed to encourage students to take tests more frequently and actively to achieve better learning effect,…
Descriptors: Computer Games, Educational Games, Game Based Learning, Competition
Xia Chen; Jackie Xiu Yan – Interpreter and Translator Trainer, 2024
Although writing and translation are closely related text productions, their interface has rarely been studied in translator training. This study examined student translators' writing and translation products in terms of their quality, errors and self-perceived mental workload. Data were collected from 11 intermediate-level translation students at…
Descriptors: Foreign Countries, College Students, Translation, Writing (Composition)
Norbert Noster; Sebastian Gerber; Hans-Stefan Siller – Digital Experiences in Mathematics Education, 2024
The use of large language models like ChatGPT is widely discussed for educational purposes. Using this technology requires teachers to have appropriate competences that incorporate knowledge of how to make use of this technology. In this study, we investigate pre-service teachers' knowledge through the lens of the KTMT model ("Knowledge for…
Descriptors: Preservice Teachers, Mathematics Skills, Problem Solving, Technology Uses in Education
Zoltán Paulovics; Csaba Csapodi – International Electronic Journal of Mathematics Education, 2025
High school teachers often encounter incorrect solutions from students, especially when teaching combinatorics. This study investigates the ability of prospective mathematics teachers to assess the correctness of solutions to combinatorial problems and to falsify incorrect ones. 39 second-year prospective teachers participated in the experiment,…
Descriptors: Mathematics Education, High School Teachers, Mathematics Teachers, Mathematics Instruction
Iria Estévez-Ayres; Patricia Callejo; Miguel Ángel Hombrados-Herrera; Carlos Alario-Hoyos; Carlos Delgado Kloos – International Journal of Artificial Intelligence in Education, 2025
The emergence of Large Language Models (LLMs) has marked a significant change in education. The appearance of these LLMs and their associated chatbots has yielded several advantages for both students and educators, including their use as teaching assistants for content creation or summarisation. This paper aims to evaluate the capacity of LLMs…
Descriptors: Artificial Intelligence, Natural Language Processing, Computer Mediated Communication, Technology Uses in Education
Kirsten Brunner; Andreas Obersteiner; Timo Leuders – Educational Studies in Mathematics, 2024
Teachers' ability to accurately judge difficulties of mathematical tasks is an essential aspect of their diagnostic competencies. Although research has suggested that pedagogical content knowledge (PCK) is positively correlated with the accuracy of diagnostic judgments, experimental studies have not been conducted to investigate how PCK affects…
Descriptors: Eye Movements, Pedagogical Content Knowledge, Accuracy, Correlation
Helen H. Shen; Dexin Dai – Reading in a Foreign Language, 2024
This study investigated college Chinese a second language learners' word segmentation error patterns in reading instructional-level Chinese sentences, the relationship between word segmentation errors and reading comprehension, and learners' perspectives on the role of word segmentation in reading comprehension. The results showed that the…
Descriptors: Reading Comprehension, Chinese, Second Language Instruction, Second Language Learning
Attila M. Wind – Journal of Response to Writing, 2024
The positive effects of dynamic written corrective feedback (DWCF) on linguistic accuracy are well-documented (Evans et al., 2010). However, studies on DWCF without exception have adopted a pretest--posttest research design; therefore, they were unable to explore the dynamics of development (Larsen-Freeman, 2006). In addition, all previous DWCF…
Descriptors: Feedback (Response), Written Language, Undergraduate Students, Essays

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