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Moran P. Lee; Abubakir Siedahmed; Neil T. Heffernan – Grantee Submission, 2024
Contextual multi-armed bandits have previously been used to personalize student support messages given to learners by supplying a model with relevant context about the user, problem, and available student supports. In this work, we propose using careful feature selection with relevant domain knowledge to improve the quality of student support…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Reinforcement
Ahmad Samed Al-Adwan; Mutaz M. Al-Debei – Education and Information Technologies, 2024
The interest in metaverse technology has risen notably in higher education learning contexts. Due to the global spread of the Covid-19 pandemic, higher education institutions are now increasingly emphasising online interactive learning. Higher education institutions are currently investigating the potential of metaverse technology to enhance…
Descriptors: Technology Uses in Education, Computer Simulation, Electronic Learning, Interaction
Thampy, Harish; Collins, Sarah; Baishnab, Elora; Grundy, Jess; Wilson, Kurt; Cappelli, Timothy – Journal of Computing in Higher Education, 2023
As a result of the COVID-19 pandemic, medical education institutions were suddenly and unexpectedly faced with making significant changes in delivering their clinical assessments to comply with social distancing requirements and limited access to clinical education centres. Seeking a potential solution to these new circumstances, we designed,…
Descriptors: Medical Education, Decision Making, Electronic Learning, Technology Uses in Education
Tan, Marcus Cheng Chye; Chye, Stefanie Yen Leng; Teng, Kylin Shu Min – Education and Information Technologies, 2022
There has been increasing use of interactive technologies in the classroom today and a rising popularity of employing virtual environments as a means to engage students in sensorially rich contexts for more embodied forms of experiential learning. In particular, virtual reality (VR) or immersive virtual environments (IVEs) facilitated by…
Descriptors: Technology Uses in Education, Social Emotional Learning, Computer Simulation, Empathy
Xiaoyang Gong; Bing Wei; Bradley W. Bergey; Ebony Terrell Shockley – Journal of Chemical Education, 2023
Computer simulations hold great potential for enhancing chemistry instruction. However, effectively integrating simulations in instruction depends in part on teachers' pedagogical reasoning about simulation affordances and instructional decisions within specific classroom contexts. The objective of this study was to investigate how two chemistry…
Descriptors: Thinking Skills, Decision Making, Computer Simulation, Science Instruction
Tsai, Wan-Lun; Su, Li-Wen; Ko, Tsai-Yen; Pan, Tse-Yu; Hu, Min-Chun – IEEE Transactions on Learning Technologies, 2021
Decision-making plays an essential role in basketball offense. Offensive players must make effective decisions to score a basket in various defensive situations. Virtual reality (VR) has been widely used in the training of athletes to strengthen their ability to make optimal decisions by creating controllable repeatable training scenarios. In this…
Descriptors: Feasibility Studies, Team Sports, Athletics, Computer Simulation
Molan, Safa; Weber, Delene; Kor, Matin – Journal of Educational Computing Research, 2022
A problem-based immersive virtual environment (IVE) about bushfire safety was developed as a learning tool for children aged 10-12. Its effectiveness was assessed in relation to children's ability to determine how to be safer in a bushfire incident. A series of experiential activities were developed in the IVE with digital storytelling and…
Descriptors: Computer Simulation, Virtual Classrooms, Children, Fire Protection
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
Salas-Rueda, Ricardo-Adan; Salas-Rueda, Erika-Patricia; Salas-Rueda, Rodrigo-David – Turkish Online Journal of Distance Education, 2020
This quantitative research analyzes the impact of the Web Application for the Educational Process on Compound Interest (WAEPCI) considering the machine learning and data science. The sample is composed of 46 students who studied the Financial Mathematics course in a Mexican university during the 2017 school year. WAEPCI presents the calculation of…
Descriptors: Foreign Countries, College Students, Credit (Finance), Computation
Lytvyn, Andrii; Lytvyn, Vitalii; Rudenko, Larysa; Pelekh, Yuriy; D?denko, Oleksandr; Muszkieta, Radoslaw; Zukow, Walerij – Education and Information Technologies, 2020
The aim of this study was an experimental research in vocational schools intended to the development of the system of educational process informatization taking into account the structure of the ICT competence of skilled workers and the trends of the information society. Representative sample of over 800 students of 10 vocational schools from…
Descriptors: Vocational Education, Technological Literacy, Job Skills, Educational Technology
Cherner, Todd; Halpin, Peter – Journal of Interactive Learning Research, 2021
Virtual reality (VR) is an emerging technology that is gaining traction in K12 education. Whereas well-designed and engaging VR experiences may be considered educational, teacher educators with content-area expertise are uniquely positioned to analyze the actual content provided by those experiences when determining VR's educational value.…
Descriptors: Content Analysis, Computer Software, Computer Simulation, Preservice Teachers
Office for Civil Rights, US Department of Education, 2024
The U.S. Department of Education's (Department's) Office for Civil Rights (OCR) provides this resource to assist school communities with ensuring that artificial intelligence (AI) is used in a nondiscriminatory manner in the nation's elementary and secondary schools and institutions of higher education consistent with federal civil rights laws.…
Descriptors: Artificial Intelligence, Computer Software, School Safety, Decision Making
Awang, Hapini; Aji, Zahurin Mat; Yaakob, Mohd Faiz Mohd; Osman, Wan Rozaini Sheik; Mukminin, Amirul; Habibi, Akhmad – Journal of Technology and Science Education, 2018
Malaysian teachers have been using Virtual Learning Environment (VLE) technology in their instructional activities since it was introduced by the Ministry of Education in 2012. This study aimed to measure Malaysian teachers' level of intention to continue using VLE technology and investigate factors influencing teachers' decision to keep using VLE…
Descriptors: Foreign Countries, Computer Simulation, Educational Technology, Technology Uses in Education
Edeer, Aylin Durmaz; Sarikaya, Aklime – International Journal of Psychology and Educational Studies, 2018
Educational methods should be continuously evaluated. In this study, the views, perceptions and recommendations of undergraduate nursing students with regard to a screen-based computer simulation are defined. This was a qualitative research study. Two focus group interviews were conducted. The students said that the simulation was beneficial for…
Descriptors: Nursing Students, Student Attitudes, Undergraduate Students, Computer Simulation
Mackie, Patrena – BU Journal of Graduate Studies in Education, 2015
High-fidelity nursing simulation is an innovative technology that has changed the delivery of post-secondary nursing education. Overwhelming research supports the use of high-fidelity simulation in nursing to demonstrate enhanced critical thinking, caring behaviours, and collaboration. Furthermore, high-fidelity simulation provides the learner…
Descriptors: Nursing Education, Postsecondary Education, Best Practices, Clinical Experience
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