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Jannis Weber; Thomas Wilhelm – Physical Review Physics Education Research, 2024
Students experience many difficulties learning the fundamental relationships in Newtonian mechanics, partly due to preexisting mental models that originate from their everyday lives. These preconceptions often persist even after instruction in mechanics and lead to a supposed incompatibility between physics lessons in school and personal…
Descriptors: Physics, Science Instruction, Scientific Concepts, Mechanics (Physics)
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Sidou, Lais Feltrin; Borges, Endler Marcel – Journal of Chemical Education, 2020
Principal component analysis (PCA) is one of the most important and powerful methods in chemometrics as well as in a wealth of other areas. Running a PCA results in two main elements, the score plot and the loading plot; the score plot provides the location of the samples, and the loading plot indicates correlations among variables, the trends in…
Descriptors: Factor Analysis, Chemistry, Science Instruction, Teaching Methods
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Brasier, Daniel J.; Melville, Michael; Hershock, Chad; Rule, Gordon – Journal of Computer Assisted Learning, 2019
In this study, we investigated the optimal placement of animations and practice and feedback exercises with respect to each other and to static text and graphics in an online DNA replication module. We randomly assigned students in a first-semester introductory biology course for freshmen biology majors and nonmajors to one of four online modules…
Descriptors: Genetics, Introductory Courses, Biology, Science Instruction
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Ronen, Ilana Klima; Sachyani, Dana – International Journal of Science Education, 2023
Helping preservice teachers use hybrid language representations in science is important if they are to become scientifically literate and able to engage in the discourse for understanding scientifiyc issues. Using hybrid language representations based on the framework of computer-supported collaborative learning, the teacher educator applied the…
Descriptors: Biochemistry, Science Teachers, Preservice Teachers, Teacher Education Programs
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Chakraborty, Tandra R.; Cooperstein, Deborah F. – Anatomical Sciences Education, 2018
This study examined the use of iPads with anatomy applications (apps) in the laboratory sections of the largest undergraduate course at the university, Anatomy and Physiology, serving more than 300 students. The majority of these students were nursing, exercise science/physical education and biology majors. With a student survey (student opinion)…
Descriptors: Anatomy, Physiology, Science Instruction, Handheld Devices
Rachmatullah, Arif – ProQuest LLC, 2021
This dissertation conducted a science classroom intervention using two instructional approaches, computational modeling and paper-based pictorial modeling, in the context of food webs. A series of research papers were written on the impact of the intervention on students' attitudes and learning, and on teachers via professional development and…
Descriptors: Teaching Methods, Science Instruction, Food, Intervention
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Svirko, Elena; Mellanby, Jane – Anatomical Sciences Education, 2017
Computer-aided learning (CAL) is an integral part of many medical courses. The neuroscience course at Oxford University for medical students includes CAL course of neuroanatomy. CAL is particularly suited to this since neuroanatomy requires much detailed three-dimensional visualization, which can be presented on screen. The CAL course was…
Descriptors: Outcomes of Education, Computer Assisted Instruction, Anatomy, Science Instruction
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Gonczi, Amanda L.; Chiu, Jennifer L.; Maeng, Jennifer L.; Bell, Randy L. – International Journal of Science Education, 2016
This investigation sought to identify patterns in elementary science teachers' computer simulation use, particularly implementation structures and instructional supports commonly employed by teachers. Data included video-recorded science lessons of 96 elementary teachers who used computer simulations in one or more science lessons. Results…
Descriptors: Elementary School Teachers, Science Teachers, Video Technology, Worksheets
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Vitale, Jonathan M.; McBride, Elizabeth; Linn, Marcia C. – International Journal of Science Education, 2016
We compared two forms of automated guidance to support students' understanding of climate change in an online inquiry science unit. For "specific" guidance, we directly communicated ideas that were missing or misrepresented in student responses. For "knowledge integration" guidance, we provided hints or suggestions to motivate…
Descriptors: Climate, Change, Comparative Analysis, Science Instruction
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Conradty, Cathérine; Bogner, Franz X. – Education Sciences, 2016
Computers are considered innovative in classrooms, raising expectations of increased cognitive learning outcomes or motivation with effects on Deeper Learning (DL). The "new medium", however, may cause cognitive overloads. Combined with gender-related variations in ability, self-efficacy or self-confidence, computers may even diminish…
Descriptors: Hypermedia, Technology Uses in Education, Educational Technology, Student Motivation
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Martínez, Emilio G.; Tuesca, Rafael – Anatomical Sciences Education, 2014
As part of an institutional program sponsored by the Centre for Teaching Excellence at the Universidad del Norte, Barranquilla, Colombia, we developed an educational research study on two sessions of human anatomy in which we combined team-based learning (TBL) and the use of iPads. Study data included the TBL, assessments applied during the…
Descriptors: Foreign Countries, Educational Research, Anatomy, Pilot Projects
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Forbes-Riley, Kate; Litman, Diane – International Journal of Artificial Intelligence in Education, 2013
In this paper we investigate how student disengagement relates to two performance metrics in a spoken dialog computer tutoring corpus, both when disengagement is measured through manual annotation by a trained human judge, and also when disengagement is measured through automatic annotation by the system based on a machine learning model. First,…
Descriptors: Correlation, Learner Engagement, Oral Language, Computer Assisted Instruction
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van Seters, J. R.; Ossevoort, M. A.; Tramper, J.; Goedhart, M. J. – Computers & Education, 2012
Adaptive e-learning materials can help teachers to educate heterogeneous student groups. This study provides empirical data about the way academic students differ in their learning when using adaptive e-learning materials. Ninety-four students participated in the study. We determined characteristics in a heterogeneous student group by collecting…
Descriptors: Foreign Countries, Electronic Learning, Learning Strategies, Computer Assisted Instruction
Hershkovitz, Arnon; Baker, Ryan S. J. d.; Gobert, Janice; Wixon, Michael; Sao Pedro, Michael – Grantee Submission, 2013
In recent years, an increasing number of analyses in Learning Analytics and Educational Data Mining (EDM) have adopted a "Discovery with Models" approach, where an existing model is used as a key component in a new EDM/analytics analysis. This article presents a theoretical discussion on the emergence of discovery with models, its…
Descriptors: Learning Analytics, Models, Learning Processes, Case Studies
Greco, Patrick F. – ProQuest LLC, 2012
Part I. The design and development of organic second-order nonlinear optical (NLO) materials have attracted much interest due to their applications in optoelectronic devices and modern communications technology. Donor-pi-acceptor compounds, D-(CH=CH)[subscript n]-A, often exhibit hyperpolarizability that results in laser frequency doubling (second…
Descriptors: Science Instruction, Teaching Methods, Computer Assisted Instruction, Conventional Instruction
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