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Showing 1 to 15 of 20 results Save | Export
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Muradoglu, Melis; Cimpian, Joseph R.; Cimpian, Andrei – Journal of Cognition and Development, 2023
Mixed-effects models are an analytic technique for modeling repeated measurement or nested data. This paper explains the logic of mixed-effects modeling and describes two examples of mixed-effects analyses using R. The intended audience of the paper is psychologists who specialize in cognitive development research. Therefore, the concepts and…
Descriptors: Cognitive Development, Models, Programming Languages, Psychologists
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Julius Meier; Peter Hesse; Stephan Abele; Alexander Renkl; Inga Glogger-Frey – Instructional Science: An International Journal of the Learning Sciences, 2024
Self-explanation prompts in example-based learning are usually directed backwards: Learners are required to self-explain problem-solving steps just presented ("retrospective" prompts). However, it might also help to self-explain upcoming steps ("anticipatory" prompts). The effects of the prompt type may differ for learners with…
Descriptors: Problem Based Learning, Problem Solving, Prompting, Models
Jonathan Robert Bowers – ProQuest LLC, 2024
To make sense of our interconnected and algorithm driven world, students increasingly need proficiency with computational thinking (CT), systems thinking (ST), and computational modeling. One aspect of computational modeling that can support students with CT, ST, and modeling is testing and debugging. Testing and debugging enables students to…
Descriptors: Troubleshooting, Thinking Skills, Computation, Computer Science Education
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Schreiner, Claudia; Wiesner, Christian – European Educational Researcher, 2023
In the context of a rapid digital transformation, digital competence is now regarded as a fourth cultural skill complementing reading, writing, and arithmetic. We argue that a well-structured and sound competence model is needed as a shared foundation for learning, teaching, pedagogical diagnostics and evaluative schemes in the school system.…
Descriptors: Computation, Thinking Skills, Digital Literacy, Competence
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Zhong, Baichang; Liu, Xiaofan; Xia, Liying; Sun, Wang – SAGE Open, 2022
Many countries and regions have reached a consensus to promote science, technology, engineering, and mathematics (STEM) education in the past decade. A body of studies have demonstrated that the design and organization of interdisciplinary teaching activities are important for the effective implementation of STEM education. So far, however, little…
Descriptors: STEM Education, Models, Teaching Methods, Robotics
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Maksum, Hasan; Yuvenda, Dori; Purwanto, Wawan – Journal of Turkish Science Education, 2022
The purpose of this research was to ascertain whether there had been any improvement in students' metacognitive and critical thinking skills through the development of the 'Teaching Factory Based on Troubleshooting' (TEFA-T) model in automotive vocational learning. The research had both quantitative and qualitative components and applied the 4D…
Descriptors: Vocational Education, Troubleshooting, Metacognition, Critical Thinking
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Parsons, David; Stockdale, Rosemary – International Journal of Virtual and Personal Learning Environments, 2012
Multi-User Virtual Environments (MUVEs) are the subject of increasing interest for educators and trainers. This article reports on a longitudinal project that seeks to establish a virtual agile software development workshop hosted in the Open Wonderland MUVE, designed to help learners to understand the basic principles of some core agile software…
Descriptors: Virtual Classrooms, Longitudinal Studies, Workshops, Computer System Design
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Darabi, Aubteen; Nelson, David W.; Meeker, Richard; Liang, Xinya; Boulware, Wilma – Journal of Computing in Higher Education, 2010
In a diagnostic problem solving operation of a computer-simulated chemical plant, chemical engineering students were randomly assigned to two groups: one studying product-oriented worked examples, the other practicing conventional problem solving. Effects of these instructional strategies on the progression of learners' mental models were examined…
Descriptors: Educational Strategies, Identification, Problem Solving, Chemical Engineering
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Rupp, Andre A.; Levy, Roy; Dicerbo, Kristen E.; Sweet, Shauna J.; Crawford, Aaron V.; Calico, Tiago; Benson, Martin; Fay, Derek; Kunze, Katie L.; Mislevy, Robert J.; Behrens, John T. – Journal of Educational Data Mining, 2012
In this paper we describe the development and refinement of "evidence rules" and "measurement models" within the "evidence model" of the "evidence-centered design" (ECD) framework in the context of the "Packet Tracer" digital learning environment of the "Cisco Networking Academy." Using…
Descriptors: Computer Networks, Evidence Based Practice, Design, Instructional Design
Watkins, Charlette Ward – ProQuest LLC, 2009
Aspect-Oriented Software Development (AOSD) is a new approach that addresses limitations inherent in conventional programming, especially the principle of separation of concerns by emphasizing the encapsulation and modularization of crosscutting concerns through a new abstraction, the "aspect." Aspect-oriented programming is an emerging AOSD…
Descriptors: Check Lists, Programming Languages, Identification, Computer Software
Katz, Sandra; Lesgold, Alan – 1992
Student modeling--the task of building dynamic models of student ability--is fraught with uncertainty, caused by such factors as multiple sources of student errors, careless errors and lucky guesses, learning and forgetting. Within the context of the Sherlock intelligent tutoring systems project, we have been experimenting with various ways of…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computer Simulation, Electronics
Gitomer, Drew H.; And Others – 1994
This paper lays out the rationale and implementation of student modeling and updating in the HYDRIVE intelligent tutoring system (ITS) for aircraft hydraulic systems. An epistemic level of modeling concerns the plans and goals students are using to guide their problem solving, as inferred from specific actions in specific contexts. These results…
Descriptors: Comprehension, Computer Managed Instruction, Decision Making, Diagnostic Tests
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Johnson, William B.; Norton, Jeffrey E. – Educational Technology, Research and Development, 1992
Review of research and development on the design of computer-based simulation for diagnostic training highlights the development and evaluation of eight diagnostic training systems that explored the appropriate level of student modeling needed for technology training. Topics addressed include changes in interface design, displays, and system…
Descriptors: Computer Assisted Instruction, Computer Simulation, Computer System Design, Evaluation Methods
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Jonassen, David H.; Hung, Woei – Educational Psychology Review, 2006
Troubleshooting is a common form of problem solving. Technicians (e.g., automotive mechanics, electricians) and professionals (physician, therapists, ombudspersons) diagnose faulty systems and take direct, corrective action to eliminate any faults in order to return the systems to their normal states. Traditional approaches to troubleshooting…
Descriptors: Troubleshooting, Problem Solving, Paraprofessional Personnel, Evaluation Methods
Latta, Raymond F.; Downey, Carolyn J. – 1994
This book presents a wide array of sophisticated problem-solving tools and shows how to use them in a humanizing way that involves all stakeholders in the process. Chapter 1 develops the rationale for educational stakeholders to consider quality tools. Chapter 2 highlights three quality group-process tools--brainstorming, the nominal group…
Descriptors: Brainstorming, Diagrams, Educational Planning, Elementary Secondary Education
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