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Showing 1 to 15 of 23 results Save | Export
Rachel L. Schechter; Paul A. Chase; Apoorva Shivaram – Online Submission, 2023
Using a mixed-method approach, researchers examined college instructors' use of a virtual lab simulation library, Labster, students' perceptions of the simulations on their learning and future STEM plans, as well as data from the library to explore patterns of lab use and quiz scores. A detailed look at Contemporary Biology I and Biology II quiz…
Descriptors: Computer Simulation, Science Laboratories, STEM Education, Models
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Seyhan Eryilmaz Toksoy; Emine Bulut – Journal of Science Education and Technology, 2025
In this research, it was aimed to determine the effect of Simulation-Supported Prediction Observation Explanation (SSPOE) activities related to solid and liquid pressure on the conceptions of learning physics of 10th grade students. In the research, a quasi-experimental design with pretest-posttest control group, which is one of the quantitative…
Descriptors: Simulation, Prediction, Observation, Student Attitudes
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Liu, Zheyu; Yu, Ping; Liu, Jiale; Pi, Zhongling; Cui, Weijin – British Journal of Educational Technology, 2023
Virtual reality, as an excellent supportive instructional technology, has gained increasing attention from educators and professionals, where desktop-based virtual reality (DVR) is broadly adopted due to its affordability and accessibility. However, when evaluating students' learning experiences such as flow experiences in DVR environments, most…
Descriptors: Self Control, STEM Education, Computer Simulation, Undergraduate Students
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Karacan, Cemil Gökhan; Polat, Mustafa – Journal of Digital Learning in Teacher Education, 2022
Augmented Reality (AR) is a new-generation technology that shows video, picture, and animated 3 D objects over real-life scenes. Despite AR's prevalence around the world, language teacher education programs are not prompt in the integration of digital educational tools. The present study explored the factors that predict pre-service English…
Descriptors: Physical Environment, Simulated Environment, Synthesis, Information Technology
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Chance, Beth; Tintle, Nathan; Reynolds, Shea; Patel, Ajay; Chan, Katherine; Leader, Sean – Statistics Education Research Journal, 2022
Using simulation-based inference (SBI), such as randomization tests, as the primary vehicle for introducing students to the logic and scope of statistical inference has been advocated with the potential of improving student understanding of statistical inference and the statistical investigative process. Moving beyond the individual class…
Descriptors: Mathematics Curriculum, Simulation, Student Characteristics, Prior Learning
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Mazrur; Jennah, Rodhatul; Mujib, Abdul; Jamalie, Zulfa – Journal of Education and e-Learning Research, 2023
The acceptance of different technologies in different classroom settings has been addressed in the current study. Integrating alignment theory with the Technology Acceptance Model (TAM), this study investigates the predictive differences between the use and adoption of four technologies. The technologies were used in Islamic study classrooms for…
Descriptors: Islam, Audience Response Systems, Student Attitudes, Technology Uses in Education
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Lee, Bai-Chin; Hsieh, Sung-Tsang; Chang, Yih-Leong; Tseng, Fen-Yu; Lin, Yu-Jung; Chen, Yuh-Lien; Wang, Shu-Huei; Chang, Yu-Fong; Ho, Yi-Lwun; Ni, Yen-Hsuan; Chang, Shan-Chwen – Anatomical Sciences Education, 2020
Virtual microscopy (VM) has been utilized to improve students' learning experience in microscope laboratory sessions, but minimal attention has been given to determining how to use VM more effectively. The study examined the influence of VM on academic performance and teacher and student perceptions and compared laboratory test scores before and…
Descriptors: Computer Simulation, Learning Experience, Laboratory Experiments, Academic Achievement
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Ojo, Oluwasegun Matthew; Owolabi, Olabode Thomas – European Journal of Educational Sciences, 2020
The study investigated the relative effects of two activity-based instructional strategies on students' attitude towards Physics practical in secondary schools. The study adopted the quasi-experimental design of pretest, post-test and control group. The sample for the study comprised 74 Senior Secondary two (SS II) Physics students who were…
Descriptors: Foreign Countries, Teaching Methods, Learning Activities, Secondary School Students
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Koparan, Timur – International Journal of Assessment Tools in Education, 2019
Technology and games are the areas where learners are most interested in today's world. If these two can be brought together within the framework of learning objectives, they can be an advantage for teachers and students. This study aims to investigate the learning environment supported by game and simulation. The games were used to evaluate the…
Descriptors: Computer Simulation, Game Based Learning, Educational Environment, Probability
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Tracey, Monica W.; Hutchinson, Alisa – Educational Technology Research and Development, 2019
In an effort to create meaningful user experiences, instructional designers participate in continuous projection and reflection during design. Empathic design draws on instructional designers' sensitivity toward their learners as a reference for design. Empathic forecasting, or predictions about an emotional reaction to future events, is an…
Descriptors: Instructional Design, Emotional Experience, Empathy, Prediction
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Angolia, Mark G.; Pagliari, Leslie R. – Decision Sciences Journal of Innovative Education, 2018
This teaching brief describes a three-echelon supply chain simulation that involves complex decision making in a dynamic environment. Using a team-based logistics simulation operating on a live commercial-software application (SAP ERP) as a foundation, a supplemental exercise is proposed for deeper learning of transportation and logistics aspects…
Descriptors: Experiential Learning, Supply and Demand, Information Management, Simulation
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Herber, Stefanie P.; Kalinowski, Michael – Education Economics, 2019
We estimate the percentage of eligible students who do not take up their federal need-based student financial aid entitlements in a microsimulation model for the German Socio-Economic Panel Study 2002--2013. We find that about 40% of the eligible low-income students do not take up their entitlements. Non-take-up is inversely and rather…
Descriptors: Foreign Countries, Student Financial Aid, Low Income, Eligibility
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Cunningham, Charles E.; Zipursky, Robert B.; Christensen, Bruce K.; Bieling, Peter J.; Madsen, Victoria; Rimas, Heather; Mielko, Stephanie; Wilson, Fiona; Furimsky, Ivana; Jeffs, Lisa; Munn, Catharine – Journal of American College Health, 2017
Objective: We modeled design factors influencing the intent to use a university mental health service. Participants: Between November 2012 and October 2014, 909 undergraduates participated. Method: Using a discrete choice experiment, participants chose between hypothetical campus mental health services. Results: Latent class analysis identified…
Descriptors: Mental Health, Health Services, Undergraduate Students, Psychiatry
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Zhang, Yining; Lin, Chin-Hsi – Technology, Pedagogy and Education, 2020
As online K-12 education continues to expand, concerns about its quality have taken centre stage. This study utilised online learning satisfaction as an outcome indicator for the success of online learning, and investigated student- and teacher-level factors that affected it among 226 high school students taking online world language courses from…
Descriptors: Computer Simulation, High School Teachers, Educational Quality, High School Students
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Attardi, Stefanie M.; Barbeau, Michele L.; Rogers, Kem A. – Anatomical Sciences Education, 2018
An online section of a face-to-face (F2F) undergraduate (bachelor's level) anatomy course with a prosection laboratory was offered in 2013-2014. Lectures for F2F students (353) were broadcast to online students (138) using Blackboard Collaborate (BBC) virtual classroom. Online laboratories were offered using BBC and three-dimensional (3D)…
Descriptors: Undergraduate Students, Online Courses, Computer Simulation, Course Descriptions
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