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Tae Yeon Kwon; A. Corinne Huggins-Manley; Jonathan Templin; Mingying Zheng – Journal of Educational Measurement, 2024
In classroom assessments, examinees can often answer test items multiple times, resulting in sequential multiple-attempt data. Sequential diagnostic classification models (DCMs) have been developed for such data. As student learning processes may be aligned with a hierarchy of measured traits, this study aimed to develop a sequential hierarchical…
Descriptors: Classification, Accuracy, Student Evaluation, Sequential Approach
Tae Yeon Kwon; A. Corinne Huggins-Manley; Jonathan Templin; Mingying Zheng – Grantee Submission, 2023
In classroom assessments, examinees can often answer test items multiple times, resulting in sequential multiple-attempt data. Sequential diagnostic classification models (DCMs) have been developed for such data. As student learning processes may be aligned with a hierarchy of measured traits, this study aimed to develop a sequential hierarchical…
Descriptors: Classification, Accuracy, Student Evaluation, Sequential Approach
Joanna Williamson – Cambridge University Press & Assessment, 2023
There is a lot of interest in providing detailed reports to schools indicating which skills pupils have mastered and which still need development -- and, more broadly, the knowledge, skills and understanding that pupils have acquired and not yet acquired. Cognitive diagnostic assessment is an approach designed to provide this kind of insight.…
Descriptors: Intelligence Tests, Diagnostic Tests, Test Construction, Mastery Learning
Yun Huang; Christian Dieter Schunn; Julio Guerra; Peter L. Brusilovsky – ACM Transactions on Computing Education, 2024
Programming skills are increasingly important to the current digital economy, yet these skills have long been regarded as challenging to acquire. A central challenge in learning programming skills involves the simultaneous use of multiple component skills. This article investigates why students struggle with integrating component skills--a…
Descriptors: Programming, Computer Science Education, Error Patterns, Classification
Villanueva, Ana; Liu, Ziyi; Kitaguchi, Yoshimasa; Zhu, Zhengzhe; Peppler, Kylie; Redick, Thomas; Ramani, Karthik – International Journal of Educational Technology in Higher Education, 2021
Augmented reality (AR) is a unique, hands-on tool to deliver information. However, its educational value has been mainly demonstrated empirically so far. In this paper, we present a modeling approach to provide users with mastery of a skill, using AR learning content to implement an educational curriculum. We illustrate the potential of this…
Descriptors: Simulated Environment, Experiential Learning, Mastery Learning, Curriculum Implementation
Min, Shangchao; He, Lianzhen – Language Testing, 2022
In this study, we present the development of individualized feedback for a large-scale listening assessment by combining standard setting and cognitive diagnostic assessment (CDA) approaches. We used the performance data from 3,358 students' item-level responses to a field test of a national EFL test primarily intended for tertiary-level EFL…
Descriptors: Feedback (Response), Second Language Learning, Second Language Instruction, English (Second Language)
Chen, Yi-Hsin – Journal of Psychoeducational Assessment, 2022
The quality of diagnostic profiles and probability assignment depends on the validity of the proposed attributes and Q-matrix. The rule-space method (RSM), one of diagnostic classification models, provides the quality indices of diagnostic profiles, such as the classification rate and the squared Mahalanobis distance. The study aims to further…
Descriptors: Profiles, Probability, Classification, Construct Validity
Paulsen, Justin; Valdivia, Dubravka Svetina – Journal of Experimental Education, 2022
Cognitive diagnostic models (CDMs) are a family of psychometric models designed to provide categorical classifications for multiple latent attributes. CDMs provide more granular evidence than other psychometric models and have potential for guiding teaching and learning decisions in the classroom. However, CDMs have primarily been conducted using…
Descriptors: Psychometrics, Classification, Teaching Methods, Learning Processes
Madison, Matthew J. – Educational Measurement: Issues and Practice, 2019
Recent advances have enabled diagnostic classification models (DCMs) to accommodate longitudinal data. These longitudinal DCMs were developed to study how examinees change, or transition, between different attribute mastery statuses over time. This study examines using longitudinal DCMs as an approach to assessing growth and serves three purposes:…
Descriptors: Longitudinal Studies, Item Response Theory, Psychometrics, Criterion Referenced Tests
Wanxue Zhang; Lingling Meng; Bilan Liang – Interactive Learning Environments, 2023
With the continuous development of education, personalized learning has attracted great attention. How to evaluate students' learning effects has become increasingly important. In information technology courses, the traditional academic evaluation focuses on the student's learning outcomes, such as "scores" or "right/wrong,"…
Descriptors: Information Technology, Computer Science Education, High School Students, Scoring
Henson, Robert; DiBello, Lou; Stout, Bill – Measurement: Interdisciplinary Research and Perspectives, 2018
Diagnostic classification models (DCMs, also known as cognitive diagnosis models) hold the promise of providing detailed classroom information about the skills a student has or has not mastered. Specifically, DCMs are special cases of constrained latent class models where classes are defined based on mastery/nonmastery of a set of attributes (or…
Descriptors: Classification, Diagnostic Tests, Models, Mastery Learning
Attali, Yigal; Arieli-Attali, Meirav – ETS Research Report Series, 2019
Learning progressions (LPs) have seen a growing interest in recent years due to their potential benefits in the development of formative assessments for classroom use. Using an LP as the backbone of an assessment can yield diagnostic classifications of students that can guide instruction and remediation. In operationalizing an LP, assessment items…
Descriptors: Classification, Mastery Learning, Learning Processes, Sequential Approach
Caraig, Renelle V.; Quimbo, Maria Ana T. – International Journal of Curriculum and Instruction, 2022
Reading Comprehension is the ability to define word by word and create a profound idea from the talks were given or read. It plays a significant role in the total functioning of a community. It is also one of the pillars of reading. This paper aims to assess the Reading Comprehension level of the Senior High School in their Core Science Subjects…
Descriptors: Reading Comprehension, Science Instruction, Reading Difficulties, High School Students
Covacevich, Catalina; Vargas, Jimena – OECD Publishing, 2021
Research has shown that foreign languages can be an important driver towards better job opportunities. This is more likely to be the case if young people take foreign languages into account when developing their career and educational expectations. These expectations depend greatly on the context and the opportunities students perceive to be…
Descriptors: Second Language Learning, Second Language Instruction, Student Attitudes, Cross Cultural Studies
Madison, Matthew J.; Bradshaw, Laine – Journal of Educational Measurement, 2018
The evaluation of intervention effects is an important objective of educational research. One way to evaluate the effectiveness of an intervention is to conduct an experiment that assigns individuals to control and treatment groups. In the context of pretest/posttest designed studies, this is referred to as a control-group pretest/posttest design.…
Descriptors: Intervention, Program Evaluation, Program Effectiveness, Control Groups