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Abdennabi Lakrim; Mohamed Chergui; Bouazza El Wahbi – Journal of Education and Learning (EduLearn), 2025
This study is a contribution to efforts to promote practices for dealing with the difficulties encountered by learners in probabilistic modeling situations. We attempt to elucidate as precisely as possible the types of difficulties that secondary school students face in the process of modeling with probability tools. By referring to a large and…
Descriptors: Probability, Difficulty Level, Correlation, Classification
Yoo Jeong Jang – ProQuest LLC, 2022
Despite the increasing demand for diagnostic information, observed subscores have been often reported to lack adequate psychometric qualities such as reliability, distinctiveness, and validity. Therefore, several statistical techniques based on CTT and IRT frameworks have been proposed to improve the quality of subscores. More recently, DCM has…
Descriptors: Classification, Accuracy, Item Response Theory, Correlation
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Li, Shan; Huang, Xiaoshan; Wang, Tingting; Pan, Zexuan; Lajoie, Susanne P. – Journal of Learning Analytics, 2022
This study examines the temporal co-occurrences of self-regulated learning (SRL) activities and three types of knowledge (i.e., task information, domain knowledge, and metacognitive knowledge) of 34 medical students who solved two tasks of varying complexity in a computer-simulated environment. Specifically, we explored how task complexity…
Descriptors: Correlation, Metacognition, Task Analysis, Difficulty Level
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Saatcioglu, Fatima Munevver; Atar, Hakan Yavuz – International Journal of Assessment Tools in Education, 2022
This study aims to examine the effects of mixture item response theory (IRT) models on item parameter estimation and classification accuracy under different conditions. The manipulated variables of the simulation study are set as mixture IRT models (Rasch, 2PL, 3PL); sample size (600, 1000); the number of items (10, 30); the number of latent…
Descriptors: Accuracy, Classification, Item Response Theory, Programming Languages
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McCall, Davin; Kölling, Michael – ACM Transactions on Computing Education, 2019
The types of programming errors that novice programmers make and struggle to resolve have long been of interest to researchers. Various past studies have analyzed the frequency of compiler diagnostic messages. This information, however, does not have a direct correlation to the types of errors students make, due to the inaccuracy and imprecision…
Descriptors: Computer Software, Programming, Error Patterns, Novices
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Bednorz, David; Kleine, Michael – International Electronic Journal of Mathematics Education, 2023
The study examines language dimensions of mathematical word problems and the classification of mathematical word problems according to these dimensions with unsupervised machine learning (ML) techniques. Previous research suggests that the language dimensions are important for mathematical word problems because it has an influence on the…
Descriptors: Word Problems (Mathematics), Classification, Mathematics Instruction, Difficulty Level
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Yang, Rui – Asian-Pacific Journal of Second and Foreign Language Education, 2022
English argumentative writing is difficult in second language writing for ESL students. Although there has been a lot of research on English argumentative writings, empirical research focusing on claims in argumentative writing is very scarce. Based on the Toulmin model, this paper studied the relationship between the claims and English…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Persuasive Discourse
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Clarke, A. J. Benjamin; Ludington, Jason D. – Journal of Psycholinguistic Research, 2018
Normative databases containing psycholinguistic variables are commonly used to aid stimulus selection for investigations into language and other cognitive processes. Norms exist for many languages, but not for Thai. The aim of the present research, therefore, was to obtain Thai normative data for the BOSS, a set of 480 high resolution color…
Descriptors: Thai, Norms, Psycholinguistics, Visual Aids
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Smith, J. Alexander; Dickinson, John R. – International Journal for Business Education, 2017
Published banks of multiple-choice questions are ubiquitous, the questions in those banks often being classified into levels of difficulty. The specific level of difficulty into which a question is classified might or should be a function of the question's substance. Possibly, though, insubstantive aspects of the question, such as the incidence of…
Descriptors: Correlation, Multiple Choice Tests, Difficulty Level, Classification
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Tooher, Helen; Johnson, Patrick – Issues in Educational Research, 2020
This pilot study explores the effectiveness of a strategy for overcoming post-primary students' misconceptions within the topic of algebra. Although central to the study of mathematics, algebra can be an area of difficulty for many students. A misconception is typically classified as flawed understanding of a concept causing repeated errors, and…
Descriptors: Misconceptions, Algebra, Secondary School Students, Mathematics Instruction
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Chen, Xingliang; Mitrovic, Antonija; Mathews, Moffat – International Journal of Artificial Intelligence in Education, 2019
Agency refers to the level of control the student has over learning. Most studies on agency in computer-based learning environments have been conducted in the context of educational games and multimedia learning, while there is little research done in the context of learning with Intelligent Tutoring Systems (ITSs). We conducted a study in the…
Descriptors: Problem Solving, Intelligent Tutoring Systems, Educational Games, Independent Study
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Cormier, Damien C.; Wang, Kun; Kennedy, Kathleen E. – Canadian Journal of School Psychology, 2016
As the diversity of the school-age population in Canada continues to increase, it is important for school psychologists to consider the potential influence of culture and language when assessing the cognitive abilities of students from culturally and linguistically diverse backgrounds. The purpose of this study is to examine the linguistic demand…
Descriptors: Foreign Countries, Children, Intelligence Tests, Testing
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Chen, Fu; Zhang, Shanshan; Guo, Yanfang; Xin, Tao – Research in Science Education, 2017
We used the Rule Space Model, a cognitive diagnostic model, to measure the learning progression for thermochemistry for senior high school students. We extracted five attributes and proposed their hierarchical relationships to model the construct of thermochemistry at four levels using a hypothesized learning progression. For this study, we…
Descriptors: Chemistry, High School Students, Secondary School Science, Correlation
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Challita, Julianne; Chapparo, Christine; Hinitt, Joanne – Journal of Occupational Therapy, Schools & Early Intervention, 2019
The purpose of this study was to explore social skills of young children with reduced social competence, from the perspective of parents and teachers. The study adopted a descriptive, quantitative design using secondary data from occupational therapy assessment information on 241 children. The data were collected using a parent and teacher…
Descriptors: Interpersonal Competence, Teacher Attitudes, Parent Attitudes, Occupational Therapy
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Khodeir, Nabila Ahmed; Elazhary, Hanan; Wanas, Nayer – International Journal of Information and Learning Technology, 2018
Purpose: The purpose of this paper is to present an algorithm to generate story problems via controlled parameters in the domain of mathematics. The generation process is performed in the problem generation module in the context of an intelligent tutoring system suggested in this paper. Controlling the question parameters allows for adapting the…
Descriptors: Problem Solving, Teaching Methods, Difficulty Level, Natural Language Processing
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