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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
Framing Outcomes and Programming Assessment for Digital Scholarship Services: A Logic Model Approach
Longmeier, Meris Mandernach; Murphy, Sarah Anne – College & Research Libraries, 2021
Assessing digital scholarship services offered either through academic libraries or elsewhere on campuses is important for both program development and service refinement. Digital scholarship support is influenced by fluid campus priorities and limited resources, including staffing, service models, infrastructure, and partnership opportunities…
Descriptors: Library Services, Academic Libraries, Scholarship, Computer Use
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
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
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
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
Chibbaro, Julia S.; Ricks, Lacey; Lanier, Bethany – Journal of School Counseling, 2019
As the integration of technology into schools is becoming prevalent, school counselors and educators must work together to identify students who may be suffering from digital addiction. As a student advocate and leader within their schools, school counselors are in an optimal position to educate school staff, students, and community members on the…
Descriptors: Addictive Behavior, Computer Use, Internet, Adolescents
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
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
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
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
Forrest J. Bowlick; Karen K. Kemp; Shana Crosson; Eric Shook – Geography Teacher, 2024
Cyberinfrastructure (CI) empowers the foundational computation resources underlying data analytics, spatial modeling, and many other domains serving the growing knowledge economy in the United States. In every part of these interactions with CI, questions of how to seamlessly integrate CI training into educational programs exist. In this article,…
Descriptors: Knowledge Economy, Global Approach, World Problems, Multiple Literacies
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
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