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Denis Shchepakin; Sreecharan Sankaranarayanan; Dawn Zimmaro – International Educational Data Mining Society, 2024
Bayesian Knowledge Tracing (BKT) is a probabilistic model of a learner's state of mastery for a knowledge component. The learner's state is a "hidden" binary variable updated based on the correctness of the learner's responses to questions corresponding to that knowledge component. The parameters used for this update are inferred/learned…
Descriptors: Algorithms, Bayesian Statistics, Probability, Artificial Intelligence
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Felix Winkelnkemper; Lukas Höper; Carsten Schulte – Informatics in Education, 2024
When it comes to mastering the digital world, the education system is more and more facing the task of making students competent and self-determined agents when interacting with digital artefacts. This task often falls to computing education. In the traditional fields of computing education, a plethora of models, guidelines, and principles exist,…
Descriptors: Digital Literacy, Computer Uses in Education, Models, Computer Science Education
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Te Hu; Zongmin Fu; Niya Wang; Jinbin Gui; Qinghe Song; Xiaofan Qian – Education and Information Technologies, 2025
Digital image processing is an integral part of the computer vision field. However, traditional digital image processing teaching methods mainly focus on theoretical knowledge, lacking practical teaching content. To address this issue, this article proposes a project-based learning (PBL) model that consists of four key stages: project proposal,…
Descriptors: Student Projects, Active Learning, Models, Computer Uses in Education
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Ionel Popa; Florin Saitis – Journal of Chemical Education, 2022
Proteins are "magical" workers inside our body, as they accomplish most of the cellular functions. Here we report on a novel approach to teach protein folding and unfolding, using magnets and flexible 3D-printed protein structures. To illustrate this physical process, we used colored circular magnets designed for whiteboards, connected…
Descriptors: Magnets, Printing, Computer Peripherals, Simulation
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Weller, Daniel P.; Bott, Theodore E.; Caballero, Marcos D.; Irving, Paul W. – Physical Review Physics Education Research, 2022
Physics classes with computation integrated into the curriculum are a fitting setting for investigating computational thinking. In this paper, we present a framework for exploring this topic in introductory physics courses. The framework, which was developed by reviewing relevant literature and acquiring video data from high school classrooms,…
Descriptors: Physics, Science Instruction, Introductory Courses, Computation
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Wang, Chunpai; Zhao, Siqian; Sahebi, Shaghayegh – International Educational Data Mining Society, 2021
The state of the art knowledge tracing approaches mostly model student knowledge using their performance in assessed learning resource types, such as quizzes, assignments, and exercises, and ignore the non-assessed learning resources. However, many student activities are non-assessed, such as watching video lectures, participating in a discussion…
Descriptors: Models, Knowledge Level, Artificial Intelligence, Computer Uses in Education
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Makransky, Guido; Petersen, Gustav B. – Educational Psychology Review, 2021
There has been a surge in interest and implementation of immersive virtual reality (IVR)-based lessons in education and training recently, which has resulted in many studies on the topic. There are recent reviews which summarize this research, but little work has been done that synthesizes the existing findings into a theoretical framework. The…
Descriptors: Computer Simulation, Computer Uses in Education, Models, Educational Research
Digital Promise, 2021
The Powerful Learning with Computational Thinking report explains how the Digital Promise team works with districts, schools, and teachers to make computational thinking ideas more concrete to practitioners for teaching, design, and assessment. We describe three powerful ways of using computers that integrate well with academic subject matter and…
Descriptors: Computation, Thinking Skills, Computer Uses in Education, Data Collection
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Haas, Alison; Grapin, Scott; Simon, Katie; Llosa, Lorena; Lee, Okhee – Science and Children, 2021
As computational models are becoming more widely used with the release of "A Framework for K-12 Science Education" (NRC 2012) and the "Next Generation Science Standards" ("NGSS"; NGSS Lead States 2013), these models are reshaping the way science is practiced in increasingly diverse classrooms. For students classified…
Descriptors: Science Instruction, English Language Learners, Teaching Methods, Grade 5
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Reis, Sally M.; Peters, Pamela M. – Gifted Education International, 2021
The process of talent development with children and young adults who have participated in programs based on the Enrichment Triad and the Schoolwide Enrichment Model (SEM) has been the focus of research by Renzulli and Reis, as well as other scholars and colleagues, for over four decades. Periodic summaries of this extensive research have been…
Descriptors: Gifted Education, Enrichment, Talent Development, Educational Research
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Pastore, A.; Romero, A. M.; Diget, C.; Rios, A.; Leech, K.; Stokoe, P. – Physics Education, 2021
We present a simple activity based on the liquid-drop model which allows secondary school students to explore the uses of mathematical models and gain an intuitive understanding of the concept of binding energy, and in particular the significance of positive binding energy. Using spreadsheets provided as supplementary material, students can…
Descriptors: Science Instruction, Energy, Computer Uses in Education, Teaching Methods
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Lajoie, Susanne P. – International Journal of Artificial Intelligence in Education, 2021
I first met Jim Greer at the NATO Advanced Study Institute on Syntheses of Instructional Sciences and Computing Science for Effective Instructional Computing Systems in 1990 in Calgary, Canada. It was during this meeting that I came to realize that Jim was one of those rare individuals that could help "translate" computer science…
Descriptors: Models, Student Characteristics, Artificial Intelligence, Computer Uses in Education
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Scandura, Joseph M. – Technology, Instruction, Cognition and Learning, 2018
This paper summarizes key stages in development of the Structural Learning Theory (SLT) and explains how and why it is now possible to model human tutors in a highly efficient manner. The paper focuses on evolution of the SLT, a deterministic theory of teaching and learning, on which AuthorIT authoring and TutorIT delivery systems have been built.…
Descriptors: Artificial Intelligence, Models, Tutors, Learning Theories
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Ragno, Rino; Esposito, Valeria; Di Mario, Martina; Masiello, Stefano; Viscovo, Marco; Cramer, Richard D. – Journal of Chemical Education, 2020
The increasing use of information technology in the discovery of new molecular entities encourages the use of modern molecular-modeling tools to help teach important concepts of drug design to chemistry and pharmacy undergraduate students. In particular, statistical models such as quantitative structure--activity relationships (QSAR)--often as its…
Descriptors: Chemistry, Computer Uses in Education, Pharmaceutical Education, Graduate Students
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Williams, C.; Anekwe, J. U. – Journal of Education and Practice, 2017
Integrating Technology for enquiry (NTeQ) instructional development model (ISD), is believed to be a technology-driven model. The authors x-rayed the ten-step model to reaffirm the ICT knowledge demand of the learner and the educator; hence computer-based activities at various stages of the model are core elements. The model also is conscious of…
Descriptors: Instructional Development, Models, Inquiry, Technology Integration
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