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Salvatore G. Garofalo – Journal of Science Education and Technology, 2025
The initial learning experience is a critical opportunity to support conceptual understanding of abstract STEM concepts. Although hands-on activities and physical three-dimensional models are beneficial, they are seldom utilized and are replaced increasingly by digital simulations and laboratory exercises presented on touchscreen tablet computers.…
Descriptors: High School Freshmen, Science Instruction, Chemistry, Molecular Structure
Houssam El Aouifi; Mohamed El Hajji; Youssef Es-Saady – Education and Information Technologies, 2024
Dropout refers to the phenomenon of students leaving school before completing their degree or program of study. Dropout is a major concern for educational institutions, as it affects not only the students themselves but also the institutions' reputation and funding. Dropout can occur for a variety of reasons, including academic, financial,…
Descriptors: At Risk Students, Potential Dropouts, Identification, Influences
Ashima Kukkar; Rajni Mohana; Aman Sharma; Anand Nayyar – Education and Information Technologies, 2024
In the profession of education, predicting students' academic success is an essential responsibility. This study introduces a novel methodology for predicting students' pass or fail outcome in certain courses. The system utilises academic, demographic, emotional, and VLE sequence information of students. Traditional prediction methods often…
Descriptors: Predictor Variables, Academic Achievement, Pass Fail Grading, Long Term Memory
Emiko Tsutsumi; Yiming Guo; Ryo Kinoshita; Maomi Ueno – IEEE Transactions on Learning Technologies, 2024
Knowledge tracing (KT), the task of tracking the knowledge state of a student over time, has been assessed actively by artificial intelligence researchers. Recent reports have described that Deep-IRT, which combines item response theory (IRT) with a deep learning method, provides superior performance. It can express the abilities of each student…
Descriptors: Item Response Theory, Academic Ability, Intelligent Tutoring Systems, Artificial Intelligence
Wirth, Joachim; Stebner, Ferdinand; Trypke, Melanie; Schuster, Corinna; Leutner, Detlev – Educational Psychology Review, 2020
Models of self-regulated learning emphasize the active and intentional role of learners and, thereby, focus mainly on conscious processes in working memory and long-term memory. Cognitive load theory supports this view on learning. As a result, both fields of research ignore the potential role of unconscious processes for learning. In this review…
Descriptors: Self Management, Learning Processes, Difficulty Level, Short Term Memory
Nosofsky, Robert M.; Cao, Rui; Harding, Samuel M.; Shiffrin, Richard M. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2021
Participants gave recognition judgments for short lists of pictures of everyday objects. Pictures in a given list were an equal mixture of three types that varied according to the way they were used as targets and foils earlier in the same session. Under consistent-mapping (CM), targets and foils never switch roles; under varied-mapping (VM),…
Descriptors: Long Term Memory, Short Term Memory, Recognition (Psychology), Cognitive Mapping
Young, John Q.; Thakker, Krima; John, Majnu; Friedman, Karen; Sugarman, Rebekah; van Merriënboer, Jeroen J. G.; Sewell, Justin L.; O'Sullivan, Patricia S. – Advances in Health Sciences Education, 2021
Cognitive Load Theory has emerged as an important approach to improving instruction in the health professions workplace, including patient handovers. At the same time, there is growing recognition that emotion influences learning through numerous cognitive processes including motivation, attention, working memory, and long-term memory. This study…
Descriptors: Psychological Patterns, Cognitive Processes, Difficulty Level, Short Term Memory
Garofalo, Salvatore G.; Farenga, Stephen J. – Technology, Knowledge and Learning, 2021
This study compared physical and digital models of a scientific topic in order to determine representational competence, short- and long-term cognition, and the extent to which physical or digital interfaces enhance spatial ability. The DNA molecule was used as a representative spatial topic to investigate conceptual and spatial understanding.…
Descriptors: Science Instruction, Concept Formation, Visual Aids, Models
Gardner, Josh; Yang, Yuming; Baker, Ryan S.; Brooks, Christopher – International Educational Data Mining Society, 2019
Replication of machine learning experiments can be a useful tool to evaluate how both "modeling" and "experimental design" contribute to experimental results; however, existing replication efforts focus almost entirely on modeling alone. In this work, we conduct a three-part replication case study of a state-of-the-art LSTM…
Descriptors: Online Courses, Large Group Instruction, Prediction, Models
Annis, Jeffrey; Palmeri, Thomas J. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2019
The development of visual expertise is accompanied by enhanced visual object recognition memory within an expert domain. We aimed to understand the relationship between expertise and memory by modeling cognitive mechanisms. Participants with a measured range of birding expertise were recruited and tested on memory for birds (expert domain) and…
Descriptors: Long Term Memory, Short Term Memory, Visual Perception, Expertise
Yang, Juan; Thomas, Michael S. C.; Qi, Xiaofei; Liu, Xuan – Computer Assisted Language Learning, 2019
From a psycholinguistic perspective of view, there are many cognitive differences that matter to individuals' second-language acquisition (SLA). Although many computer-assisted tools have been developed to capture and narrow the differences among learners, the use of these strategies may be highly risky because changing the environments or the…
Descriptors: Foreign Countries, Cognitive Ability, Phonological Awareness, English Teachers
Graham, Steve – Educational Psychologist, 2018
This article presents a revised version of the writer(s)-within-community model of writing. Writing is conceptualized as a social activity situated within specific writing communities. Writing in these communities is accomplished by its members. The model proposes that writing is simultaneously shaped and bound by the characteristics, capacity,…
Descriptors: Writing (Composition), Communities of Practice, Collaborative Writing, Models
Schweppe, Judith; Rummer, Ralf – Educational Psychology Review, 2014
Cognitive models of multimedia learning such as the Cognitive Theory of Multimedia Learning (Mayer 2009) or the Cognitive Load Theory (Sweller 1999) are based on different cognitive models of working memory (e.g., Baddeley 1986) and long-term memory. The current paper describes a working memory model that has recently gained popularity in basic…
Descriptors: Short Term Memory, Cognitive Processes, Long Term Memory, Models
Jones, Gary; Gobet, Fernand; Freudenthal, Daniel; Watson, Sarah E.; Pine, Julian M. – Developmental Science, 2014
Tests of nonword repetition (NWR) have often been used to examine children's phonological knowledge and word learning abilities. However, theories of NWR primarily explain performance either in terms of phonological working memory or long-term knowledge, with little consideration of how these processes interact. One theoretical account that…
Descriptors: Repetition, Theories, Models, Children
Melo, Mário – International Journal of Instruction, 2018
In this paper, readers are guided through the design and development of educational programs based on the 4C/ID model. This was illustrated via a practical example in Physics education, to teach the theme "Electrical circuits" to students of the 9th grade of compulsory education. In the article, the followed steps are described, from…
Descriptors: Models, Physics, Science Education, Instructional Design