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Otman Jaber; Sara Bagossi; Michael N. Fried; Osama Swidan – ZDM: Mathematics Education, 2024
This paper describes how students conceptualize real-life phenomena in which two or more quantities are covarying in an augmented reality environment. With this technology, real-world phenomena and virtual representations may be connected simultaneously. We aim to investigate how students connect elements of the two worlds when conceptualizing…
Descriptors: Physical Environment, Simulated Environment, Synthesis, Information Technology
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Tao Huang; Jing Geng; Yuxia Chen; Han Wang; Huali Yang; Shengze Hu – Education and Information Technologies, 2024
Digital technology is profoundly transforming various aspects of life, thus highlighting the need to enhance digital literacy on a national scale. In primary and secondary schools, artificial intelligence (AI) education plays a pivotal role in fostering digital literacy. To comprehensively investigate the variables influencing AI education in…
Descriptors: Artificial Intelligence, Elementary Schools, Secondary Schools, Prediction
Martin, Eli – ProQuest LLC, 2023
As the number of STEM opportunities and the need for a scientifically literate society increases, educators in STEM fields require tools that help support these needs. Chemistry is one STEM content area that would benefit from exploring educational technology that supports conceptual understanding. An action research study was conducted to…
Descriptors: Chemistry, Educational Technology, Concept Formation, Learner Engagement
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Gonczi, Amanda; Palosaari, Chuck; Mayer, Alex; Urban, Noel – Science Teacher, 2022
Computational modeling and thinking skill sets were previously relegated to computer scientists and programmers. As a result, computational tools are largely unfamiliar to K-12 science teachers and students. Using Mathematical and Computational Thinking and Developing and Using Models were included in the "Next Generation Science…
Descriptors: Learning Activities, High School Students, STEM Education, Computation
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Salvatore G. Garofalo – Journal of Science Education and Technology, 2025
The initial learning experience is a critical opportunity to support conceptual understanding of abstract STEM concepts. Although hands-on activities and physical three-dimensional models are beneficial, they are seldom utilized and are replaced increasingly by digital simulations and laboratory exercises presented on touchscreen tablet computers.…
Descriptors: High School Freshmen, Science Instruction, Chemistry, Molecular Structure
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Kareem Abdul Waheed; Theerthaana Panneerselvam – International Journal of Educational Management, 2025
Purpose: The advent of information and communication technology (ICT)-driven innovations changed people's lives in a big way. Virtual reality (VR) technology is an innovation that helps in digital transformation across several industries. This research aims to investigate the adoption of virtual reality (VR) technology in secondary school…
Descriptors: Computer Simulation, Adoption (Ideas), Secondary Education, Foreign Countries
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Line Have Musaeus; Deborah Tatar; Peter Musaeus – Journal of Biological Education, 2024
Computational modelling is widely used in biological science. Therefore, biology students need to learn computational modelling. However, there is a lack of evidence about how to teach computational modelling in biology and what the effects are on student learning. The purpose of this intervention-control study was to investigate how knowledge in…
Descriptors: Computation, Models, High School Students, Biology
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Webb, Mary; Tracey, Megan; Harwin, William; Tokatli, Ozan; Hwang, Faustina; Johnson, Ros; Barrett, Natasha; Jones, Chris – Education and Information Technologies, 2022
This paper reports on a study which designed and developed a multi-fingered haptic interface in conjunction with a three-dimensional (3D) virtual model of a section of the cell membrane in order to enable students to work collaboratively to learn cell biology. Furthermore, the study investigated whether the addition of haptic feedback to the 3D…
Descriptors: Computer Simulation, Cooperative Learning, Cytology, Models
Meral, Cigdem – ProQuest LLC, 2023
Preparing students for science, technology, engineering, and mathematics (STEM) education is one of the United States' K-12 educational concerns (Gandhi et al., 2016). Despite the National Science Foundation's (NSF) report that the number of students participating in STEM fields continues to increase, the number of underrepresented students…
Descriptors: High School Students, STEM Education, Career Choice, Decision Making
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Hsin-Yi Chang; Chen-Chung Liu; Chi-Ting Wen; Ming-Hua Chang; Shih-Hsun Fan Chiang; Fu-Kwun Hwang – International Journal of Science Education, 2024
One issue facing teachers who implement model-based instruction within the school system is the tight curricular schedule. The 'lesson objective tension' calls for investigations to address instructional issues such as how to organise modelling-based instruction at the curriculum level which is across multiple units. We investigated the effect of…
Descriptors: Computer Simulation, Virtual Classrooms, Laboratories, Models
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Meli, Kalliopi; Koliopoulos, Dimitrios; Lavidas, Konstantinos – Science & Education, 2022
Teaching and learning introductory thermodynamics has drawn considerable research attention over the last two decades, especially in several disciplines of higher education. Under particular investigation is the First Law of Thermodynamics (FLT), which offers an expression of energy conservation in thermodynamic systems, as the evidence shows that…
Descriptors: Thermodynamics, Science Instruction, Scientific Principles, Teaching Methods
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Sun-Joo Cho; Amanda Goodwin; Matthew Naveiras; Paul De Boeck – Grantee Submission, 2024
Explanatory item response models (EIRMs) have been applied to investigate the effects of person covariates, item covariates, and their interactions in the fields of reading education and psycholinguistics. In practice, it is often assumed that the relationships between the covariates and the logit transformation of item response probability are…
Descriptors: Item Response Theory, Test Items, Models, Maximum Likelihood Statistics
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Sun-Joo Cho; Amanda Goodwin; Matthew Naveiras; Paul De Boeck – Journal of Educational Measurement, 2024
Explanatory item response models (EIRMs) have been applied to investigate the effects of person covariates, item covariates, and their interactions in the fields of reading education and psycholinguistics. In practice, it is often assumed that the relationships between the covariates and the logit transformation of item response probability are…
Descriptors: Item Response Theory, Test Items, Models, Maximum Likelihood Statistics
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Yahaya, Jamaiah; Fadzli, Sazrol; Deraman, Aziz; Yahaya, Noor Zaitun; Halim, Lilia; Rais, Izhar Abadi Ibrahim; Ibrahim, Siti Rohana Ahmad – Education and Information Technologies, 2022
Pollution from quarry activities has a substantial environmental impact on many countries. This issue should be addressed accordingly as its impact may introduce various health-related problems to the surrounding community. One alternative is to increase awareness for the younger generation and society at large. However, environmental data…
Descriptors: STEM Education, Models, Computer Assisted Instruction, Environmental Education
Salvatore G. Garofalo – ProQuest LLC, 2022
This study examined the effectiveness of three instructional and assessment strategies on conceptual understanding of the DNA molecule. Specifically, a model building task was utilized to determine if physical model construction, digital model construction with a touchscreen tablet computer, or paper worksheet activity effected conceptual…
Descriptors: Concept Formation, Geometric Concepts, Models, Computer Simulation
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