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Kapuza, Anastasiya; Koponen, Ismo T.; Tyumeneva, Yulia – British Journal of Educational Technology, 2020
We present three new standardised network concept map (CM) measures that can provide unique information about learning-related progress, which cannot be determined from previously known measures. Grounded in cognitive development theory on the one hand, and network theory on the other hand, our measures reveal how knowledge is stored, distributed…
Descriptors: Concept Mapping, Cognitive Measurement, Learning Processes, Measures (Individuals)
Lockwood, Adam B.; Farmer, Ryan L. – Psychology in the Schools, 2020
Given significant changes to legislation, practice, research, and instrumentation, the purpose of this study was to examine the course on cognitive assessment in school psychology programs and to describe the (a) structure, (b) instructional strategies, (c) content, and (d) interpretative strategies taught to school psychology graduate students.…
Descriptors: Intelligence Tests, School Psychology, Course Content, Graduate Students
Chen, Huilin; Cai, Yuyang; de la Torre, Jimmy – Language Assessment Quarterly, 2023
This study uses a cognitive diagnosis model (CDM) approach to investigate the associations among specific L2 reading subskills. Participants include 1,203 Year-4 English major college students randomly selected from the nationwide test takers of Band 8 of Test for English Majors (TEM8), a large-scale English proficiency test for senior English…
Descriptors: Foreign Countries, Second Language Learning, English (Second Language), Majors (Students)
Terzi, Ragip; de la Torre, Jimmy – International Journal of Assessment Tools in Education, 2018
In cognitive diagnosis modeling, the attributes required for each item are specified in the Q-matrix. The traditional way of constructing a Q-matrix based on expert opinion is inherently subjective, consequently resulting in serious validity concerns. The current study proposes a new validation method under the deterministic inputs, noisy…
Descriptors: Cognitive Measurement, Models, Validity, Statistical Analysis
Nin, Verónica; Delgado, Hernán; Muniz-Terrera, Graciela; Carboni, Alejandra – Developmental Science, 2022
Executive functions (EF), either conceptualized as skills involved in regulation of cognition and emotion in service of goal-oriented behavior, or reductively as working memory, flexibility and inhibitory control, are commonly invoked constructs in developmental science. Two main traditions on EFs measurement prevail, one consisting of ratings…
Descriptors: Executive Function, Cognitive Measurement, Behavior Rating Scales, Preschool Children
Duru, Erdinc; Ozgungor, Sevgi; Yildirim, Ozen; Duatepe-Paksu, Asuman; Duru, Sibel – International Journal of Assessment Tools in Education, 2022
The aim of this study is to develop a valid and reliable measurement tool that measures critical thinking skills of university students. Pamukkale Critical Thinking Skills Scale was developed as two separate forms; multiple choice and open-ended. The validity and reliability studies of the multiple-choice form were constructed on two different…
Descriptors: Critical Thinking, Cognitive Measurement, Test Validity, Test Reliability
Gillmeister, Helge; Stets, Manuela; Grigorova, Milla; Rigato, Silvia – Developmental Psychology, 2019
There is general consensus that the representation of the human face becomes functionally specialized within the first few months of an infant's life. The literature is divided, however, on the question whether the specialized representation of the remainder of the human body form follows a similarly rapid trajectory or emerges more slowly and in…
Descriptors: Human Body, Adults, Infants, Cognitive Development
Li, Tingxuan – ProQuest LLC, 2019
In order to achieve broadening participation in computer science and other careers related to computing, middle school classrooms should provide students opportunities (tasks) to think like a computer scientist. Researchers in computing education promote the idea that programming skill should not be a pre-requisite for students to display…
Descriptors: Cognitive Measurement, Computation, Thinking Skills, Computer Science
Wu, Haiyan; Liang, Xinya; Yürekli, Hülya; Becker, Betsy Jane; Paek, Insu; Binici, Salih – Journal of Psychoeducational Assessment, 2020
The demand for diagnostic feedback has triggered extensive research on cognitive diagnostic models (CDMs), such as the deterministic input, noisy output "and" gate (DINA) model. This study explored two Q-matrix specifications with the DINA model in a statewide large-scale mathematics assessment. The first Q-matrix was developed based on…
Descriptors: Mathematics Tests, Cognitive Measurement, Models, Test Items
Manuel B. Garcia – Education and Information Technologies, 2025
The global shortage of skilled programmers remains a persistent challenge. High dropout rates in introductory programming courses pose a significant obstacle to graduation. Previous studies highlighted learning difficulties in programming students, but their specific weaknesses remained unclear. This gap exists due to the predominant focus on the…
Descriptors: Programming, Introductory Courses, Computer Science Education, Mastery Learning
Mehrazmay, Roghayeh; Ghonsooly, Behzad; de la Torre, Jimmy – Applied Measurement in Education, 2021
The present study aims to examine gender differential item functioning (DIF) in the reading comprehension section of a high stakes test using cognitive diagnosis models. Based on the multiple-group generalized deterministic, noisy "and" gate (MG G-DINA) model, the Wald test and likelihood ratio test are used to detect DIF. The flagged…
Descriptors: Test Bias, College Entrance Examinations, Gender Differences, Reading Tests
Meng, Lingling; Zhang, Mingxin; Zhang, Wanxue; Chu, Yu – Interactive Learning Environments, 2021
Bayesian knowledge tracing model (BKT) is a typical student knowledge assessment method. It is widely used in intelligent tutoring systems. In the standard BKT model, all knowledge and skills are independent of each other. However, in the process of student learning, they have a very close relation. A student may understand knowledge B better when…
Descriptors: Bayesian Statistics, Intelligent Tutoring Systems, Student Evaluation, Knowledge Level
Culpepper, Steven Andrew; Chen, Yinghan – Journal of Educational and Behavioral Statistics, 2019
Exploratory cognitive diagnosis models (CDMs) estimate the Q matrix, which is a binary matrix that indicates the attributes needed for affirmative responses to each item. Estimation of Q is an important next step for improving classifications and broadening application of CDMs. Prior research primarily focused on an exploratory version of the…
Descriptors: Cognitive Measurement, Models, Bayesian Statistics, Computation
Wafa, Mohammad Nasim; Hussani, Sayed Abdul Moqim; Pazhman, Jumakhan – EURASIA Journal of Mathematics, Science and Technology Education, 2020
Cognitive diagnosis models (CDMs) are restricted latent class models that can be used to analyze response data from educational or psychological tests. The Deterministic Input Noisy Output "AND" gate (DINA) model and the Deterministic Input Noisy Output "OR" gate (DINO) model there are two popular cognitive diagnosis models…
Descriptors: Foreign Countries, Mathematics Skills, Cognitive Ability, Gender Differences
Frischkorn, Gidon T.; von Bastian, Claudia C. – Journal of Intelligence, 2021
Process-Overlap Theory (POT) suggests that measures of cognitive abilities sample from sets of independent cognitive processes. These cognitive processes can be separated into domain-general executive processes, sampled by the majority of cognitive ability measures, and domain-specific processes, sampled only by measures within a certain domain.…
Descriptors: Epistemology, Learning Theories, Executive Function, Cognitive Processes