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Chun-Chun Chang; Gwo-Jen Hwang – Education and Information Technologies, 2024
In vocational education, cultivating students' ability to deal with real cases is a crucial training objective. The BSFE (i.e., Brainstorming, Screening, Formation, Examination) model is a commonly adopted training procedure. Each stage is designed for guiding students to analyze and find solutions to handle real cases. However, as one teacher is…
Descriptors: Vocational Education, Nursing Education, Robotics, Simulation
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Lainema, Kirsi; Syynimaa, Kirsi; Lainema, Timo; Hämäläinen, Raija – Journal of Research on Technology in Education, 2023
Extant research has identified the significance of technological affordances in computer-supported learning environments. However, until recently, there is scarcely empirical research on affordances for organizing collaboration in these learning environments. To address this gap, this study empirically examines affordances for organizing…
Descriptors: Undergraduate Students, Business Administration Education, Foreign Countries, Cooperative Learning
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Eglington, Luke G.; Pavlik, Philip I., Jr. – International Journal of Artificial Intelligence in Education, 2023
An important component of many Adaptive Instructional Systems (AIS) is a 'Learner Model' intended to track student learning and predict future performance. Predictions from learner models are frequently used in combination with mastery criterion decision rules to make pedagogical decisions. Important aspects of learner models, such as learning…
Descriptors: Computer Assisted Instruction, Intelligent Tutoring Systems, Learning Processes, Individual Differences
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Eryilmaz Toksoy, Seyhan; Bulut, Emine – Education and Information Technologies, 2023
Simulations, which are very powerful educational tools on their own, enable concretization of abstract concepts and help students research the variables related to the subject matter of the simulation. Simulations provide powerful modelling environments that include the interaction processes of physics concepts, bring active participation of…
Descriptors: Foreign Countries, Student Attitudes, Teacher Attitudes, Simulation
Eglington, Luke G.; Pavlik, Philip I., Jr. – Grantee Submission, 2022
An important component of many Adaptive Instructional Systems (AIS) is a 'Learner Model' intended to track student learning and predict future performance. Predictions from learner models are frequently used in combination with mastery criterion decision rules to make pedagogical decisions. Important aspects of learner models, such as learning…
Descriptors: Computer Assisted Instruction, Intelligent Tutoring Systems, Learning Processes, Individual Differences
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Thiago Costa Caetano; Camila Cardoso Moreira; Mikael Frank Rezende Junior – IEEE Transactions on Education, 2024
Contribution: This work seeks to ascertain the validity of a remote-controlled experiment of the Physics Remote Lab in the educational context, specifically among students from engineering courses. Background: In 2012, it has been started the development of the Physics Remote Lab at the Federal University of Itajubá, Brazil, a laboratory with a…
Descriptors: Engineering Education, Laboratory Experiments, Foreign Countries, Computer Uses in Education
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Roham Sadeghi Tabar – Cogent Education, 2024
Technological advancements are pushing new simulation and analytical tools, driving the research fields in design forward. In this environment, for introducing new modeling, simulation, and analytic tools, the pre-training aspect becomes important, presenting the ideas behind the tools and preparing the students to structure their already grasped…
Descriptors: Interdisciplinary Approach, Educational Environment, Computer Assisted Instruction, Engineering
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Suwicha Wittayakom; Chintana Kanjanavisutt; Methinee Wongwanich Rumpagaporn – Higher Education Studies, 2024
This systematic literature review explores the implementation and effectiveness of active learning approaches in online training environments. The rapid growth of online education necessitates strategies that enhance learner engagement and improve educational outcomes. The review identifies various active learning techniques, such as discussions,…
Descriptors: Online Courses, Training, Active Learning, Learning Strategies
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Tommasi, Francesco; Ceschi, Andrea; Weller, Joshua; Costantini, Arianna; Passaia, Giulia; Gostimir, Marija; Sartori, Riccardo – European Journal of Training and Development, 2021
Purpose: This paper aims to empirically compare the degree to which two technological interventions, based on the computer-supported collaborative learning (CSCL) and the technology acceptance model (TAM), were associated with a different incidence of financial biases. Design/methodology/approach: The study adopted a quasi-experimental research…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Money Management, Consumer Education
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Zappatore, Marco – International Journal of Information and Learning Technology, 2022
Purpose: Before COVID-19 pandemic, translation students in higher education attended courses on computer-assisted translation to acquire operational knowledge of professional software, without experiencing collaborative/interactive learning. In few European universities skills labs were introduced to offer fieldwork-like activities, but without…
Descriptors: Translation, COVID-19, Pandemics, School Closing
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Stelz-Sullivan, Eleanor J.; Marchetti, Barbara; Karsili, Tolga – Education Sciences, 2022
Computational and atmospheric chemistry are two important branches of contemporary chemistry. With the present topical nature of climate change and global warming, it is more crucial than ever that students are aware of and exposed to atmospheric chemistry, with an emphasis on how modeling may aid in understanding how atmospherically relevant…
Descriptors: Computation, Chemistry, Science Education, Simulation
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Huang, Weijiao; Hew, Khe Foon; Fryer, Luke K. – Journal of Computer Assisted Learning, 2022
Background: The use of chatbots as learning assistants is receiving increasing attention in language learning due to their ability to converse with students using natural language. Previous reviews mainly focused on only one or two narrow aspects of chatbot use in language learning. This review goes beyond merely reporting the specific types of…
Descriptors: Second Language Learning, Second Language Instruction, Computer Assisted Instruction, Computer Mediated Communication