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Matthew J. Madison; Stefanie Wind; Lientje Maas; Kazuhiro Yamaguchi; Sergio Haab – Grantee Submission, 2024
Diagnostic classification models (DCMs) are psychometric models designed to classify examinees according to their proficiency or nonproficiency of specified latent characteristics. These models are well suited for providing diagnostic and actionable feedback to support intermediate and formative assessment efforts. Several DCMs have been developed…
Descriptors: Diagnostic Tests, Classification, Models, Psychometrics
Matthew J. Madison; Stefanie A. Wind; Lientje Maas; Kazuhiro Yamaguchi; Sergio Haab – Journal of Educational Measurement, 2024
Diagnostic classification models (DCMs) are psychometric models designed to classify examinees according to their proficiency or nonproficiency of specified latent characteristics. These models are well suited for providing diagnostic and actionable feedback to support intermediate and formative assessment efforts. Several DCMs have been developed…
Descriptors: Diagnostic Tests, Classification, Models, Psychometrics
The Choice between Cognitive Diagnosis and Item Response Theory: A Case Study from Medical Education
Youn Seon Lim; Catherine Bangeranye – International Journal of Testing, 2024
Feedback is a powerful instructional tool for motivating learning. But effective feedback, requires that instructors have accurate information about their students' current knowledge status and their learning progress. In modern educational measurement, two major theoretical perspectives on student ability and proficiency can be distinguished.…
Descriptors: Cognitive Measurement, Diagnostic Tests, Item Response Theory, Case Studies
Nasrin Dehbozorgi; Mourya Teja Kunuku – IEEE Transactions on Education, 2024
Contribution: An AI model for speech emotion recognition (SER) in the educational domain to analyze the correlation between students' emotions, discussed topics in teams, and academic performance. Background: Research suggests that positive emotions are associated with better academic performance. On the other hand, negative emotions have a…
Descriptors: Interaction, Academic Achievement, Artificial Intelligence, Psychological Patterns
Becky Tugman; Lauren E. Stephens; Taimi Olsen; Alfred E. Bundrick – To Improve the Academy, 2025
Peer observation of teaching (PoT) is a recognized evaluation tool. However, faculty concerns persist regarding bias, beneficial feedback, and lack of peer observer training. While faculty desire to provide quality and equitable reviews, many higher education faculty peers have little expertise in conducting observations and evaluations. This…
Descriptors: Peer Evaluation, Faculty Development, Formative Evaluation, Summative Evaluation
Al Abadi, Haider; Mainali, Bandita; Lumantarna, Elisa – European Journal of Engineering Education, 2022
Feedback can improve or impair students' learning performance, depending on its timing and constructiveness. Given the diversity of students' study goals and overall performance in the assessment tasks within most classes, a group of students can experience a deteriorated performance from delayed corrective feedback, and another group can suffer…
Descriptors: College Freshmen, Student Evaluation, Engineering Education, Formative Evaluation
Wood, James – Assessment & Evaluation in Higher Education, 2021
Despite the importance of feedback uptake in higher education, there is still much to be learned about supporting it. Recent perspectives hold that guiding learners through feedback uptake-oriented activities may also help them to develop feedback literacy. However, due to the acceleration of digitisation trends in higher education, there is an…
Descriptors: Feedback (Response), Formative Evaluation, Technology Uses in Education, Dialogs (Language)
Mannion, Jessica – Assessment & Evaluation in Higher Education, 2022
The methods in which self-assessment are facilitated have not been significantly addressed within the literature. Self-assessment is also fraught with concerns around reliability and validity. As a result, a systematic 3-stage plan was developed to embed self-assessment into a module design. The planning, formative and summative (PFS) model of…
Descriptors: Self Evaluation (Individuals), Feedback (Response), Formative Evaluation, Summative Evaluation
Yoshida, Hideaki; Nishizuka, Kohei; Arimoto, Masahiro – Assessment in Education: Principles, Policy & Practice, 2023
To enhance the effectiveness of formative assessment and self-regulated learning, this study focused on evaluative judgement. A process for developing evaluative judgement and co-regulation had proposed. However, this co-regulation and evaluative judgement model lacks validation for use in classroom settings; the process of developing evaluative…
Descriptors: Evaluative Thinking, Thinking Skills, Skill Development, Foreign Countries
Marwan, Samiha; Shi, Yang; Menezes, Ian; Chi, Min; Barnes, Tiffany; Price, Thomas W. – International Educational Data Mining Society, 2021
Feedback on how students progress through completing subgoals can improve students' learning and motivation in programming. Detecting subgoal completion is a challenging task, and most learning environments do so either with "expert-authored" models or with "data-driven" models. Both models have advantages that are…
Descriptors: Expertise, Models, Feedback (Response), Identification
Brandon J. Yik; David G. Schreurs; Jeffrey R. Raker – Journal of Chemical Education, 2023
Acid-base chemistry, and in particular the Lewis acid-base model, is foundational to understanding mechanistic ideas. This is due to the similarity in language chemists use to describe Lewis acid-base reactions and nucleophile-electrophile interactions. The development of artificial intelligence and machine learning technologies has led to the…
Descriptors: Educational Technology, Formative Evaluation, Molecular Structure, Models
Michelle Vaughan; Samantha N. Uribe – Assessment & Evaluation in Higher Education, 2024
Distance education has increased steadily since the onset of COVID-19. As online offerings become a staple in programs of study, rather than the exception, it is important to consider how instructors design their courses to incorporate feedback as well as how they promote active student involvement in feedback processes. In this paper, the authors…
Descriptors: Feedback (Response), Multiple Literacies, Formative Evaluation, Student Evaluation
Schulz, Andreas; Leuders, Timo; Rangel, Ulrike – Journal of Psychoeducational Assessment, 2020
We provide evidence of validity for a newly developed diagnostic competence model of operation sense, by both (a) describing the theoretically substantiated development of the competence model in close association with its use within a large-scale formative assessment and (b) providing empirical evidence for the theoretically described cognitive…
Descriptors: Diagnostic Tests, Models, Criterion Referenced Tests, Cognitive Measurement
Yik, Brandon J.; Dood, Amber J.; Cruz-Ramirez de Arellano, Daniel; Fields, Kimberly B.; Raker, Jeffrey R. – Chemistry Education Research and Practice, 2021
Acid-base chemistry is a key reaction motif taught in postsecondary organic chemistry courses. More specifically, concepts from the Lewis acid-base model are broadly applicable to understanding mechanistic ideas such as electron density, nucleophilicity, and electrophilicity; thus, the Lewis model is fundamental to explaining an array of reaction…
Descriptors: Artificial Intelligence, Models, Formative Evaluation, Organic Chemistry
Konnor Brennan – ProQuest LLC, 2022
This dissertation aimed to advance the field of biology education in several ways. First, we aimed to demonstrate if, and to what extent, student-generated conceptual models can be used on summative assessments to accurately assess student understanding of gene expression. Next, we described patterns of changes students make to conceptual models…
Descriptors: Models, Formative Evaluation, Summative Evaluation, Introductory Courses

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