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Christina Glasauer; Martin K. Yeh; Lois Anne DeLong; Yu Yan; Yanyan Zhuang – Computer Science Education, 2025
Background and Context: Feedback on one's progress is essential to new programming language learners, particularly in out-of-classroom settings. Though many study materials offer assessment mechanisms, most do not examine the accuracy of the feedback they deliver, nor give evidence on its validity. Objective: We investigate the potential use of a…
Descriptors: Novices, Computer Science Education, Programming, Accuracy
Daniel M. K. Lam – ELT Journal, 2025
Feedback penetrates many walks of our lives, and its importance in L2 teaching and assessment is well recognised. However, while corrective feedback and writing feedback have been the focus of much L2 research and classroom practice, there seems relatively little attention to feedback on spoken interactional skills. Concomitantly, translating…
Descriptors: Feedback (Response), Peer Evaluation, Oral Language, Interaction
Guozhu Ding; Mailin Li; Shan Li; Hao Wu – Asia Pacific Education Review, 2025
This study investigated the optimal feedback intervals for tasks of varying difficulty levels in online testing and whether task difficulty moderates the effect of feedback intervals on student performance. A pre-experimental study with 36 students was conducted to determine the delayed time for providing feedback based on student behavioral data.…
Descriptors: Feedback (Response), Academic Achievement, Computer Assisted Testing, Intervals
Marc P. Janson; Oliver Dickhäuser – Journal of Experimental Education, 2025
Feedback significantly impacts learning outcomes, yet interindividual differences in feedback preferences remain understudied. We postulate and test a fitting feedback framework assuming that feedback framings matching personal preferences produce positive effects. We conducted two learning experiments including feedback representing different…
Descriptors: Cognitive Processes, Difficulty Level, Feedback (Response), Preferences
Yun-Kyung Kim; Li Cai – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2025
This paper introduces an application of cross-classified item response theory (IRT) modeling to an assessment utilizing the embedded standard setting (ESS) method (Lewis & Cook). The cross-classified IRT model is used to treat both item and person effects as random, where the item effects are regressed on the target performance levels (target…
Descriptors: Standard Setting (Scoring), Item Response Theory, Test Items, Difficulty Level
Kala Krishna; Pelin Akyol; Esma Ozer – National Bureau of Economic Research, 2025
Exams are designed to rank students objectively by their abilities, including elements such as time limits, the number and difficulty of questions, and negative marking policies. Using data from a lab-in-field experiment, we develop and estimate a model of student behavior in multiple-choice exams that incorporates the effects of time constraints…
Descriptors: Multiple Choice Tests, Student Behavior, Response Style (Tests), Time
Aiman Mohammad Freihat; Omar Saleh Bani Yassin – Educational Process: International Journal, 2025
Background/purpose: This study aimed to reveal the accuracy of estimation of multiple-choice test items parameters following the models of the item-response theory in measurement. Materials/methods: The researchers depended on the measurement accuracy indicators, which express the absolute difference between the estimated and actual values of the…
Descriptors: Accuracy, Computation, Multiple Choice Tests, Test Items
Patrik Havan; Michal Kohút; Peter Halama – International Journal of Testing, 2025
Acquiescence is the tendency of participants to shift their responses to agreement. Lechner et al. (2019) introduced the following mechanisms of acquiescence: social deference and cognitive processing. We added their interaction into a theoretical framework. The sample consists of 557 participants. We found significant medium strong relationship…
Descriptors: Cognitive Processes, Attention, Difficulty Level, Reflection
Janea J. Thibodeaux; Pierce M. Taylor; Janelle K. Bacotti; Samuel L. Morris – Journal of Applied Behavior Analysis, 2025
Many researchers have evaluated how characteristics of feedback may influence trainee performance, but relatively little attention has been allocated to directly assessing trainee preference for feedback characteristics and its relation to performance. Thus, the primary purpose of this study was to use a within-subject experimental design to…
Descriptors: Undergraduate Students, Feedback (Response), Difficulty Level, Learning Strategies
Xu Xuewen; Natthawat Khositditsayanan; Chalermkit Kengkaew – International Education Studies, 2025
This study focuses on developing a teaching manual for Neapolitan folk songs in Italian, specifically designed for Chinese undergraduate vocal music students. Neapolitan folk songs, characterized by rich emotional expression and lyrical beauty, are an essential part of Italian music culture. The manual aims to fill a gap in vocal music education…
Descriptors: Singing, Folk Culture, Italian, Music Education
Cornelia E. Neuert – Field Methods, 2025
Using masculine forms in surveys is still common practice, with researchers presumably assuming they operate in a generic way. However, the generic masculine has been found to lead to male-biased representations in various contexts. This article studies the effects of alternative gendered linguistic forms in surveys. The language forms are…
Descriptors: Language Usage, Surveys, Response Style (Tests), Gender Bias
Xinxin Yang; Wen Ma – International Journal of Language & Communication Disorders, 2025
Background: Aphasia is a communication disorder caused by brain damage. People with aphasia (PWA) often experience difficulties in interaction. Methods: This study uses conversation analysis (CA) and examines the interactions of 10 PWA (5 fluent and 5 non-fluent speakers) and their healthcare professionals. Aims: The study aims to to explore how…
Descriptors: Mandarin Chinese, Aphasia, Interaction, Discourse Analysis
Benjamin M. Torsney; Sarah Rawls; Joseph I. Eisman; Catherine Pressimone Beckowski; Cheryl B. Torsney – Educational and Developmental Psychologist, 2025
Objective: The objective of this study was threefold: (a) to create a rubric for response complexity (RC), defined as an admixture of response length, grammatical diversity, categorisation, and sophistication; (b) to measure behavioural and cognitive engagement through students' written responses on a school-based written activity, and (c) to…
Descriptors: College Students, Learner Engagement, Responses, Difficulty Level
Neda Kianinezhad; Mohsen Kianinezhad – Language Education & Assessment, 2025
This study presents a comparative analysis of classical reliability measures, including Cronbach's alpha, test-retest, and parallel forms reliability, alongside modern psychometric methods such as the Rasch model and Mokken scaling, to evaluate the reliability of C-tests in language proficiency assessment. Utilizing data from 150 participants…
Descriptors: Psychometrics, Test Reliability, Language Proficiency, Language Tests
Sonja Dieterich; Stefan Rumann; Marc Rodemer – Educational Psychology Review, 2025
Example-based learning is a well-known instructional method for effective cognitive skill acquisition in complex domains. "(Contrasting) erroneous examples" are a promising extension that embed errors in instructional material, potentially fostering not only positive but negative knowledge. However, the mechanisms and conditions for…
Descriptors: Learning Processes, Teaching Methods, Instructional Effectiveness, Models

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