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Rajendra Chattergoon – ProQuest LLC, 2020
Learning progressions (LPs) are "descriptions of the successively more sophisticated ways of thinking about a topic that can follow one another as children learn about and investigate a topic over a broad span of time" (National Research Council, 2007). One challenge that arises in LP research is the collection of evidence to ensure that…
Descriptors: Item Response Theory, Models, Validity, Learning Processes
Shi Pu; Yu Yan; Brandon Zhang – Journal of Educational Data Mining, 2024
We propose a novel model, Wide & Deep Item Response Theory (Wide & Deep IRT), to predict the correctness of students' responses to questions using historical clickstream data. This model combines the strengths of conventional Item Response Theory (IRT) models and Wide & Deep Learning for Recommender Systems. By leveraging clickstream…
Descriptors: Prediction, Success, Data Analysis, Learning Analytics
Youngerman, Ethan; Dahl, Laura S.; Mayhew, Matthew J. – Research in Higher Education, 2021
Integrative learning is the ability to connect, apply, and/or synthesize. A highly valued skill for the knowledge economy and combating false narratives, integrative learning represents the cognitive heart of the liberal arts, demonstrating students' ability to make interdisciplinary connections and apply their learning to their lives and the…
Descriptors: Learning Processes, Interdisciplinary Approach, Knowledge Economy, Liberal Arts
Vongkulluksn, Vanessa W.; Lu, Lin; Nelson, Michael J.; Xie, Kui – Educational Technology Research and Development, 2022
Quantitative studies on technology integration often examined general quantity of classroom technology use or teacher-reported accounts of integration practices. There is a current need for a measurement tool that links students' technology use and cognitive engagement, which will allow researchers to better illustrate how technology is woven into…
Descriptors: Technology Integration, Educational Technology, Learner Engagement, Psychometrics
Tobler, Samuel; Köhler, Katja; Sinha, Tanmay; Hafen, Ernst; Kapur, Manu – CBE - Life Sciences Education, 2022
Undergraduate biology students' molecular-level understanding of stochastic (also referred to as random or noisy) processes found in biological systems is often limited to those examples discussed in class. Therefore, students frequently display little ability to accurately transfer their knowledge to other contexts. Furthermore, elaborate tools…
Descriptors: Undergraduate Students, Biology, Science Instruction, Molecular Biology
Naumann, Alexander; Hochweber, Jan; Klieme, Eckhard – Educational Assessment, 2016
Although there is a common understanding of instructional sensitivity, it lacks a common operationalization. Various approaches have been proposed, some focusing on item responses, others on test scores. As approaches often do not produce consistent results, previous research has created the impression that approaches to instructional sensitivity…
Descriptors: Psychometrics, Item Response Theory, Pretests Posttests, Test Construction
Anselmi, Pasquale; Robusto, Egidio; Stefanutti, Luca – Psychometrika, 2012
The Gain-Loss model is a probabilistic skill multimap model for assessing learning processes. In practical applications, more than one skill multimap could be plausible, while none corresponds to the true one. The article investigates whether constraining the error probabilities is a way of uncovering the best skill assignment among a number of…
Descriptors: Item Response Theory, Learning Processes, Simulation, Probability
Schwartz, Robert Andrew – ProQuest LLC, 2012
"Data modeling" is an approach that helps students to transform initial, and often misguided, understandings of variability and chance to forms of reasoning that coordinate chance with variability by designing learning environments that support this reasoning by allowing students to invent and revise models. The Assessing Data Modeling…
Descriptors: Psychometrics, Statistical Data, Statistical Analysis, Models
Knight, Justin B.; Meeks, J. Thadeus; Marsh, Richard L.; Cook, Gabriel I.; Brewer, Gene A.; Hicks, Jason L. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2011
In event-based prospective memory, current theories make differing predictions as to whether intention-related material can be spontaneously noticed (i.e., noticed without relying on preparatory attentional processes). In 2 experiments, participants formed an intention that was contextually associated to the final phase of the experiment, and…
Descriptors: Cues, Intention, Recognition (Psychology), College Students
Peifer, Nancy – ProQuest LLC, 2012
The purpose of this study was to contribute to the academic discussion regarding the validity of Multiple Intelligences (MI) theory through focusing on the validity of an important construct embedded in the theory, that of congruence between instructional style and preferred MI style for optimal learning. Currently there is insufficient empirical…
Descriptors: Multiple Intelligences, Psychometrics, Test Construction, Program Validation
Jalbert, Annie; Neath, Ian; Bireta, Tamra J.; Surprenant, Aimee M. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2011
The word length effect, the finding that lists of short words are better recalled than lists of long words, has been termed one of the benchmark findings that any theory of immediate memory must account for. Indeed, the effect led directly to the development of working memory and the phonological loop, and it is viewed as the best remaining…
Descriptors: Foreign Countries, College Students, Language Processing, Learning Processes
Reeves, Todd Douglas – Online Submission, 2009
This study investigated whether an intervention measurably contributed to the self-regulatory processes underlying undergraduate students' learning. The Rasch model was first applied to Dynamic and Active Learning Inventory Revised (DALI-R; Iran-Nejad & Chissom, 1992) data to examine the validity of inferences made from this instrument and to…
Descriptors: Undergraduate Students, Intervention, Validity, Active Learning
Gebauer, Guido F.; Mackintosh, Nicholas J. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2007
The hypothesis that performance on implicit learning tasks is unrelated to psychometric intelligence was examined in a sample of 605 German pupils. Performance in artificial grammar learning, process control, and serial learning did not correlate with various measures of intelligence when participants were given standard implicit instructions.…
Descriptors: Psychometrics, Serial Learning, Intelligence, Intelligence Tests
WHITEMAN, MARTIN
THREE PSYCHOLOGICAL DISCIPLINES OFFER APPROACHES TO AN UNDERSTANDING OF INTELLIGENCE. AN ATTEMPT IS MADE TO UNCOVER THE COMMON FEATURES OF THE PSYCHOMETRIC SCHOOL, LEARNING, AND MENTAL DEVELOPMENT APPROACHES. A STRUCTURAL CONCEPT IS SELECTED FROM EACH PSYCHOLOGICAL DISCIPLINE FOR COMPARATIVE ANALYSIS--THE CONCEPT OF FACTOR FROM THE PSYCHOMETRIC…
Descriptors: Ability, Cognitive Development, Comparative Analysis, Educational Psychology
Elkind, David – Phi Delta Kappan, 1989
True educational reform will come about only when we replace the reigning psychometric educational psychology with a developmentally appropriate one. The developmental approach is superior regarding its conception of the learner, the learning process, the information to be acquired, and educational goals. Includes 14 references. (MLH)
Descriptors: Curriculum Development, Developmental Programs, Developmentally Appropriate Practices, Early Childhood Education
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