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Conrad Borchers; Tianze Shou – Grantee Submission, 2025
Large Language Models (LLMs) hold promise as dynamic instructional aids. Yet, it remains unclear whether LLMs can replicate the adaptivity of intelligent tutoring systems (ITS)--where student knowledge and pedagogical strategies are explicitly modeled. We propose a prompt variation framework to assess LLM-generated instructional moves' adaptivity…
Descriptors: Benchmarking, Computational Linguistics, Artificial Intelligence, Computer Software
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
Olaperi Okuboyejo; Sigrid Ewert; Ian Sanders – ACM Transactions on Computing Education, 2025
Regular expressions (REs) are often taught to undergraduate computer science majors in the Formal Languages and Automata (FLA) course; they are widely used to implement different software functionalities such as search mechanisms and data validation in diverse fields. Despite their importance, the difficulty of REs has been asserted many times in…
Descriptors: Automation, Feedback (Response), Error Patterns, Error Correction
Sale Maikanti – Indonesian Journal of English Language Teaching and Applied Linguistics, 2025
This empirical study examined error performance in Hausa vowel production by Yoru`ba´ speakers, using a quantitative approach. The aim was to compare two groups in the final-year National Certificate in Education in producing Hausa shared and unshared vowels, and to assess gender and institutional differences across five colleges (ABK, ACE, IKR,…
Descriptors: Foreign Countries, African Languages, Second Language Learning, Error Patterns
Paul A. Jewsbury; Matthew S. Johnson – Large-scale Assessments in Education, 2025
The standard methodology for many large-scale assessments in education involves regressing latent variables on numerous contextual variables to estimate proficiency distributions. To reduce the number of contextual variables used in the regression and improve estimation, we propose and evaluate principal component analysis on the covariance matrix…
Descriptors: Factor Analysis, Matrices, Regression (Statistics), Educational Assessment
Southby, Lucy; Harding, Sam; Phillips, Veronica; Wren, Yvonne; Joinson, Carol – International Journal of Language & Communication Disorders, 2021
Background: Speech development requires intact and adequately functioning oral anatomy and cognitive 'speech processing' skills. There is evidence that speech input processing skills are associated with speech output problems in children not born with a cleft. Children born with cleft palate ± lip (CP±L) are at high risk of developing disordered…
Descriptors: Congenital Impairments, Language Processing, Speech Impairments, Children
Almoabdi, Rahaf Bandar – Online Submission, 2023
Because vocabulary knowledge is considered the building block of language learning, any difficulties concerned with vocabulary can harm the overall vocabulary acquisition process. Literature suggests that native Arabic speakers struggle to notice vowels while reading English texts. This can result from the differences between L1 and L2 linguistic…
Descriptors: English (Second Language), Second Language Learning, Vowels, Arabic
Olla, Rita; Houmanfar, Ramona A.; Esquierdo-Leal, Jovonnie L.; Crosswell, Laura H. – Journal of Behavioral Education, 2023
Modern societies need higher education systems that are strongly grounded on scientific knowledge and evidence-based teaching tools. This laboratory-based study extended Chase and Houmanfar (2009), examining the effects of basic and elaborate feedback on participants' performance measured with two sets of tests administered after a college-level…
Descriptors: Feedback (Response), Student Evaluation, Performance Based Assessment, College Students
Miedema, Daphne; Fletcher, George; Aivaloglou, Efthimia – ACM Transactions on Computing Education, 2023
Prior studies in the Computer Science education literature have illustrated that novices make many mistakes in composing SQL queries. Query formulation proves to be difficult for students. Only recently, some headway was made towards understanding why SQL leads to so many mistakes, by uncovering student misconceptions. In this article, we shed new…
Descriptors: Computer Science Education, Novices, Misconceptions, Programming Languages
Hilviu, Dize; Frau, Federico; Bosco, Francesca M.; Marini, Andrea; Gabbatore, Ilaria – Journal of Psycholinguistic Research, 2023
Autism spectrum disorder (ASD) is a neurodevelopmental condition affecting social and communicative skills, including narrative ability, namely the description of real-life or fictive accounts of temporally and causally related events. With this study, we aimed to determine whether a communicative-pragmatic training, i.e., the version for…
Descriptors: Autism Spectrum Disorders, Communication Skills, Narration, Discourse Analysis
Eglington, Luke G.; Pavlik, Philip I., Jr. – International Journal of Artificial Intelligence in Education, 2023
An important component of many Adaptive Instructional Systems (AIS) is a 'Learner Model' intended to track student learning and predict future performance. Predictions from learner models are frequently used in combination with mastery criterion decision rules to make pedagogical decisions. Important aspects of learner models, such as learning…
Descriptors: Computer Assisted Instruction, Intelligent Tutoring Systems, Learning Processes, Individual Differences
Suto, Irenka; Williamson, Joanna; Ireland, Jo; Macinska, Sylwia – Research Papers in Education, 2023
Errors that occasionally manifest in examination papers and other educational assessment instruments can threaten reliability and validity. For example, a multiple choice question could have two correct response options, or a geography question containing an inaccurate map could be unanswerable. In this paper we explore this oft-neglected element…
Descriptors: Error Patterns, International Assessment, Test Construction, Failure
Stanley, T. D.; Doucouliagos, Hristos – Research Synthesis Methods, 2023
Partial correlation coefficients are often used as effect sizes in the meta-analysis and systematic review of multiple regression analysis research results. There are two well-known formulas for the variance and thereby for the standard error (SE) of partial correlation coefficients (PCC). One is considered the "correct" variance in the…
Descriptors: Correlation, Statistical Bias, Error Patterns, Error Correction
Mistry-Patel, Sejal; Brooker, Rebecca J. – Developmental Psychology, 2023
Children from lower socioeconomic status (SES) families are at increased risk for anxiety problems, though knowledge of the pathways by which SES predicts children's anxiety outcomes remains scant. Limited work suggests SES as a moderator of links between early development and anxiety outcomes but has not used a longitudinal framework or a…
Descriptors: Error Patterns, Negative Attitudes, Anxiety, At Risk Persons
Lin, Yu-Ju; Chiu, Yen-Nan; Wu, Yu-Yu; Tsai, Wen-Che; Gau, Susan Shur-Fen – Journal of Autism and Developmental Disorders, 2023
This study followed up ADHD/autistic symptoms and attentional performance in children/adolescents with ASD and typically developing ones (TD) over 5-7 years. The participants were stratified by age at baseline into child (< 12 years) and adolescent (12-19 years) groups. ADHD symptoms, especially hyperactivity, and attentional functions…
Descriptors: Autism Spectrum Disorders, Attention Deficit Hyperactivity Disorder, Children, Adolescents

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