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Cocea, Mihaela; Magoulas, George D. – IEEE Transactions on Learning Technologies, 2017
Exploratory learning environments (ELEs) promote a view of learning that encourages students to construct and/or explore models and observe the effects of modifying their parameters. The freedom given to learners in this exploration context leads to a variety of learner approaches for constructing models and makes modelling of learner behavior a…
Descriptors: Generalization, Mathematics Instruction, Computer Simulation, Discovery Learning
Noll, Jennifer; Kirin, Dana – Statistics Education Research Journal, 2017
Teaching introductory statistics using curricula focused on modeling and simulation is becoming increasingly common in introductory statistics courses and touted as a more beneficial approach for fostering students' statistical thinking. Yet, surprisingly little research has been conducted to study the impact of modeling and simulation curricula…
Descriptors: Statistics, Introductory Courses, Models, Teaching Methods
Taipalus, Toni; Seppänen, Ville; Pirhonen, Maritta – Journal of Information Systems Education, 2018
Uncertain and ambiguous environments are commonplace in information systems development (ISD) projects, and while different Agile frameworks welcome changes in organizational, technical, and business environments, the incurred uncertainty is known to negatively affect the development process and the quality of the final product. The effects of…
Descriptors: Computer Software, Problem Based Learning, Information Systems, Simulation
Chen, Binglin; West, Matthew; Ziles, Craig – International Educational Data Mining Society, 2018
This paper attempts to quantify the accuracy limit of "nextitem-correct" prediction by using numerical optimization to estimate the student's probability of getting each question correct given a complete sequence of item responses. This optimization is performed without an explicit parameterized model of student behavior, but with the…
Descriptors: Accuracy, Probability, Student Behavior, Test Items
Tsai, Fu-Hsing; Hsu, I.-Ying – Journal of Baltic Science Education, 2020
This research aimed to develop a computer detective game for science education to provide students in experiencing real-world problem-solving after learning electricity-related knowledge, and to explore the effects of designing the guidance of process constraints and prompts into this game. To explore the effects of guidance, two different game…
Descriptors: Computer Games, Game Based Learning, Guidance, Problem Solving
Bressler, Denise M.; Shane Tutwiler, M.; Bodzin, Alec M. – Educational Technology Research and Development, 2021
We report on a design-based research study that was conducted over three iterations. It chronicles the design, development, and implementation of School Scene Investigators, a forensic science game series for middle school students that utilizes mobile augmented reality. Played on mobile devices while exploring the school environment, School Scene…
Descriptors: Science Interests, Student Interests, Science Education, Educational Games
Ke, Fengfeng – Educational Technology Research and Development, 2019
This mixed methods study is aimed to examine the feasibility of integrating mathematical problem solving with architectural design via a 3D epistemic simulation game to promote active mathematics learning for middle-school students. The experimental-control pretest/posttest group design was adopted to examine whether the experience of interacting…
Descriptors: Educational Games, Computer Games, Computer Simulation, Game Based Learning
Bergner, Yoav; Andrews, Jessica J.; Zhu, Mengxiao; Gonzales, Joseph E. – ETS Research Report Series, 2016
Collaborative problem solving (CPS) is a critical competency in a variety of contexts, including the workplace, school, and home. However, only recently have assessment and curriculum reformers begun to focus to a greater extent on the acquisition and development of CPS skill. One of the major challenges in psychometric modeling of CPS is…
Descriptors: Problem Solving, Cooperative Learning, Evaluation Methods, Models
Letkowski, Jerzy – Journal of Instructional Pedagogies, 2018
Single-period inventory models with uncertain demand are very well known in the business analytics community. Typically, such models are rule-based functions, or sets of functions, of one decision variable (order quantity) and one random variable (demand). In academics, the models are taught selectively and usually not completely. Students are…
Descriptors: Models, Data Analysis, Decision Making, Teaching Methods
Bravender, Marlena; Staub, Nancy – Education Leadership Review, 2018
Leading American schools is a multi-faceted and complex role as states have adopted requirements for the mentoring of new principals. Interactive problem-based simulations can offer novice principals opportunities to practice solving job-embedded issues. This study explored practicing administrators interacting with simulations embedded into an…
Descriptors: Beginning Principals, Mentors, Instructional Leadership, Professional Development
Kohnle, Antje; Ainsworth, Shaaron E.; Passante, Gina – Physical Review Physics Education Research, 2020
[This paper is part of the Focused Collection on Curriculum Development: Theory into Design.] This manuscript discusses how learning theories have been applied to shape multiple aspects of the design of curricular activities combining interactive computer simulations and University of Washington style tutorials (so-called simulation-tutorials).…
Descriptors: Freehand Drawing, Visual Learning, Computer Simulation, Tutoring
Rasalam, Roy; Bandaranaike, Suniti – International Journal of Work-Integrated Learning, 2020
In the current context of COVID-19 restrictions, the perceived infection risk in healthcare facilities has resulted in limited opportunities for clinical placements. This paper aims to demonstrate how virtual WIL clinics (virtual simulated general practice clinics), provide an authentic clinical experience and to ascertain whether these virtual…
Descriptors: COVID-19, Pandemics, Experiential Learning, Work Experience Programs
Litts, Breanne K.; Lewis, Whitney E.; Mortensen, Chase K. – Interactive Learning Environments, 2020
In response to a need to equip youth to become successful contributors to our growing digital economy, educators and researchers are exploring ways to incorporate computational thinking (CT) for all across curricular domains. In this paper, we take a place-based approach to examine how and what CT practices youth learn through designing mobile…
Descriptors: Teaching Methods, Educational Games, Telecommunications, Handheld Devices
McKinney, Jason S. – Journal of Teaching in Social Work, 2019
The movement towards competency-based education in social work has required a shift in delivery to more experiential learning opportunities for students. Looking forward, the Council on Social Work Education [CSWE] has instituted a Futures Task Force, exploring roles social workers may play in the future, with particular attention to the evolution…
Descriptors: Teaching Methods, Social Work, Simulated Environment, Blended Learning
Thomas, Debra Kelly; Milenkovic, Lisa; Marousky, Annamargareth – Science and Children, 2019
Computer science (CS) and computational thinking (a problem-solving process used by computer scientists) teach students design, logical reasoning, and problem solving--skills that are valuable in life and in any career. Computational thinking (CT) concepts such as decomposition teach students how to break down and tackle a large complex problem.…
Descriptors: Computation, Thinking Skills, Computer Simulation, Computer Science Education

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