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Frick, Aurélien; Chevalier, Nicolas – Journal of Cognition and Development, 2023
Cognitive control (also referred to as executive functions) corresponds to a set of cognitive processes that support the goal-directed regulation of thoughts and actions. It plays a major role in complex activities and predicts later academic achievement. Importantly, while growing up, children are progressively transitioning from engaging…
Descriptors: Executive Function, Cognitive Processes, Cognitive Development, Models
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Chisari, Lucia B.; Mockeviciute, Akvile; Ruitenburg, Sterre K.; van Vemde, Lian; Kok, Ellen M.; van Gog, Tamara – Journal of Computer Assisted Learning, 2020
Eye movement modelling examples (EMMEs) are instructional videos of a model's demonstration and explanation of a task that also show where the model is looking. EMMEs are expected to synchronize students' visual attention with the model's, leading to better learning than regular video modelling examples (MEs). However, synchronization is seldom…
Descriptors: Eye Movements, Video Technology, Models, Attention
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Wang, Fei; Huang, Zhenya; Liu, Qi; Chen, Enhong; Yin, Yu; Ma, Jianhui; Wang, Shijin – IEEE Transactions on Learning Technologies, 2023
To provide personalized support on educational platforms, it is crucial to model the evolution of students' knowledge states. Knowledge tracing is one of the most popular technologies for this purpose, and deep learning-based methods have achieved state-of-the-art performance. Compared to classical models, such as Bayesian knowledge tracing, which…
Descriptors: Cognitive Measurement, Diagnostic Tests, Models, Prediction
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Levi C. Ofoe – Perspectives of the ASHA Special Interest Groups, 2025
Purpose: This study examined the learning experiences of speech-language pathology students after creating three-dimensional (3D) anatomical models as part of an undergraduate Anatomy and Physiology course. Method: A total of 44 undergraduate students used 3D software programs to design anatomical components (e.g., larynx, brainstem, brain cortex,…
Descriptors: Speech Language Pathology, Allied Health Occupations Education, Student Attitudes, Anatomy
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Ren, Zhiyun; Ning, Xia; Lan, Andrew S.; Rangwala, Huzefa – International Educational Data Mining Society, 2019
Over the past decade, low graduation and retention rates have plagued higher education institutions. To help students graduate on time and achieve optimal learning outcomes, many institutions provide advising services supported by educational technologies. Accurate grade prediction is an integral part of these services such as degree planning…
Descriptors: Grade Prediction, Undergraduate Students, Prior Learning, Courses
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Grubišic, Ani; Žitko, Branko; Stankov, Slavomir – Journal of Technology and Science Education, 2020
In intelligent e-learning systems that adapt a learning and teaching process to student knowledge, it is important to adapt the system as quickly as possible. However, adaptation is not possible until the student model is initialized. In this paper, a new approach to student model initialization using domain knowledge representative subset is…
Descriptors: Electronic Learning, Educational Technology, Models, Intelligent Tutoring Systems
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Mula, Melinda; Hodnik, Tatjana – European Journal of Educational Research, 2020
This research study presents the PGBE model for teaching and learning percentages with students of Grade 7 when their cognitive development enables the conceptual understanding of percentages as proportional statements, and offers the possibility for more effective matching of them with fractions and decimal numbers. The abbreviation PGBE presents…
Descriptors: Mathematical Concepts, Knowledge Level, Teaching Methods, Instructional Effectiveness
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Zou, Di; Xie, Haoran; Rao, Yanghui; Wong, Tak-Lam; Wang, Fu Lee; Wu, Qingyuan – International Journal of Distance Education Technologies, 2017
The world has encountered and witnessed the great popularity of various emerging e-learning resources such as massive open online courses (MOOCs), textbooks and videos with the development of the big data era. It is critical to understand the characteristics of users to assist them to find desired and relevant learning resources in such a large…
Descriptors: Comparative Analysis, Vocabulary Development, Predictor Variables, Prior Learning
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Singh, Ninni; Ahuja, Neelu Jyothi – International Journal of Web-Based Learning and Teaching Technologies, 2019
Face-to-face human tutoring in classroom environments amply facilitates human tutor-learner interactions wherein the tutor gets opportunity to exercise his cognitive intelligence to understand learner's pre-knowledge level, learning pattern, specific learning difficulties, and be able to offer course content well-aligned to the learner's…
Descriptors: Intelligent Tutoring Systems, Sequential Learning, Student Centered Learning, Curriculum Design
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Dickmann, Thomas; Opfermann, Maria; Dammann, Elmar; Lang, Martin; Rumann, Stefan – Chemistry Education Research and Practice, 2019
Visualizations and visual models are of substantial importance for science learning (Harrison and Treagust, 2000), and it seems impossible to study chemistry without visualizations. More specifically, the combination of visualizations with text is especially beneficial for learning when dual coding is fostered (Mayer, 2014). However, at the same…
Descriptors: Science Instruction, Models, Visualization, Visual Stimuli
Hendy, Mohamed H. – Online Submission, 2019
Learning disabilities represent one of the most important issues that affect learning situations. They are very big challenge for teachers unless they become aware of physical, intellectual, emotional, behavioral, reading, hearing, and visual disabilities and use the suitable learning and teaching models and strategies that meet them. Since…
Descriptors: Foreign Countries, Secondary School Teachers, Teacher Attitudes, Students with Disabilities
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Minshew, Lana M.; Barber-Lester, Kelly J.; Derry, Sharon J.; Anderson, Janice L. – Educational Technology & Society, 2017
Conceptions of ecological processes such as the flow of energy and cycling of matter in an ecosystem are increasingly important understandings in a rapidly changing world. This study utilizes a p-prims, or knowledge in pieces, lens to examine understandings and disconnections in students' conceptualizations of energy flow and matter cycling…
Descriptors: Middle School Students, Science Instruction, Grade 6, Rural Schools
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Lombardi, Doug; Bickel, Elliot S.; Bailey, Janelle M.; Burrell, Shondricka – Science Education, 2018
Evaluation is an important aspect of science and is receiving increasing attention in science education. The present study investigated (1) changes to plausibility judgments and knowledge as a result of a series of instructional scaffolds, called model-evidence link activities, that facilitated evaluation of scientific and alternative models in…
Descriptors: High School Students, Science Instruction, Earth Science, Knowledge Level
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Jenkins, Gavin W.; Samuelson, Larissa K.; Smith, Jodi R.; Spencer, John P. – Cognitive Science, 2015
It is unclear how children learn labels for multiple overlapping categories such as "Labrador," "dog," and "animal." Xu and Tenenbaum (2007a) suggested that learners infer correct meanings with the help of Bayesian inference. They instantiated these claims in a Bayesian model, which they tested with preschoolers and…
Descriptors: Generalization, Young Children, Inferences, Models
Tasdan, Berna Tataroglu; Çelik, Adem – Online Submission, 2016
This study has been aimed to propose a conceptual framework that helps researchers examine mathematics teachers' PCK in the context of supporting students' mathematical thinking. "Advancing Children's Thinking Framework" which is a pedagogical model developed by Fraivillig, Murphy and Fuson (1999) that supports the development of…
Descriptors: Mathematics Teachers, Pedagogical Content Knowledge, Mathematical Logic, Mathematics Instruction
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