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Mirjana Maricic; Stanko Cvjeticanin; Branko Andic; Mia Maric; Aleksandar Petojevic – Journal of Research on Technology in Education, 2024
This research aimed to determine the effectiveness of applying instructive simulation experiments (SE) to the development of deeper conceptual understanding, retention of static electricity contents, and engagement of 4th-grade students. The correlation between student achievements and engagement was examined. 76 4th graders (10-11 years) were…
Descriptors: Scientific Concepts, Science Education, Energy, Science Experiments
Thohir, M. Anas; Ahdhianto, Erif; Mas'ula, Siti; April Yanti, Fitri; Sukarelawan, Moh Irma – Contemporary Educational Technology, 2023
Virtual reality (VR) is developing in line with the establishment of the learning metaverse, although the relationship between its acceptance and technological pedagogical content knowledge (TPACK) is very unclear. Therefore, this study aims to determine the effects of facility condition (FC), technological acceptance model (TAM), and TPACK on…
Descriptors: Educational Technology, Pedagogical Content Knowledge, Technological Literacy, Preservice Teachers
Kalemkus, Jale; Kalemkus, Fatih – Interactive Learning Environments, 2023
It was aimed to review the effect of the use of augmented reality applications on the academic achievement of students in science education in this study. In line with this aim, the experimental researches reviewing the effect of use of augmented reality applications within the scope of science course on student achievement were evaluated with…
Descriptors: Information Technology, Computer Simulation, Academic Achievement, Science Education
Amy Adair; Michael Sao Pedro; Janice Gobert; Jessica A. Owens – Grantee Submission, 2023
Developing models and using mathematics are two key practices in internationally recognized science education standards such as the Next Generation Science Standards (NGSS, 2013). In this paper, we used a virtual performance-based formative assessment to capture students' competencies at both "developing" and "evaluating"…
Descriptors: Student Evaluation, Mathematical Models, Competence, Scientific Research
Jiang, Shiyan; Huang, Xudong; Sung, Shannon H.; Xie, Charles – Research in Science Education, 2023
Learning analytics, referring to the measurement, collection, analysis, and reporting of data about learners and their contexts in order to optimize learning and the environments in which it occurs, is proving to be a powerful approach for understanding and improving science learning. However, few studies focused on leveraging learning analytics…
Descriptors: Learning Analytics, Hands on Science, Science Education, Laboratory Safety
Salar, Riza; Arici, Faruk; Caliklar, Seyma; Yilmaz, Rabia M. – Journal of Science Education and Technology, 2020
The aim of this study is to investigate the augmented reality (AR) immersion experiences of university students studying in science education. The relationship between interest, usability, emotional investment, focus of attention, presence and flow was examined for university students studying in the science education department who used AR…
Descriptors: College Students, Science Education, Usability, Correlation
Chen, Chih-Ming; Wang, Wen-Fang – Journal of Science Education and Technology, 2020
Analyzing learners' learning behaviors helps teachers understand how learning behaviors of learners influence learning performance. To determine which learning behaviors influence learners' science-based inquiry learning performance, this work develops an xAPI (Experience Application Programming Interface)-based learning record store module…
Descriptors: Learning Processes, Science Education, Correlation, Inquiry
Jaakkola, Tomi; Veermans, Koen – Instructional Science: An International Journal of the Learning Sciences, 2018
The present study investigates the effects that concreteness fading has on learning and transfer across three grade levels (4-6) in elementary school science education in comparison to learning with constantly concrete representations. 127 9- to 12-years-old elementary school students studied electric circuits in a computer-based simulation…
Descriptors: Elementary School Students, Elementary School Science, Science Education, Learning Processes
Dyer, Jamie O.; Elsenpeter, Ryan L. – Bioscene: Journal of College Biology Teaching, 2018
Numerous studies have examined the use of active learning methods in undergraduate courses, suggesting that these methods increase learning and retention as well as student engagement. In order to investigate the benefits of particular active learning assignments involving presentations of 3-dimensional simulations in an introductory biology…
Descriptors: Data Analysis, Active Learning, Assignments, Student Evaluation
Lindfors, Maria; Winberg, Mikael; Bodin, Madelen – Scandinavian Journal of Educational Research, 2019
Research on how epistemic beliefs influence students' learning in different contexts is ambiguous. Given this, we have examined the relationships between students' scientific epistemic beliefs, their problem solving, and solutions in a constructionist computer-simulation in classical mechanics. The problem-solving process and performance of 19…
Descriptors: Epistemology, Beliefs, Student Attitudes, Problem Solving
Fathali, Somayeh; Okada, Takeshi – Australasian Journal of Educational Technology, 2018
One of the crucial issues for successful technology-enhanced out-of-class language learning (OCLL) is the learners' continuance intention to use technology. Considering the strong mutual relationship between learners' intention and motivation, the present study extended the technology acceptance model (TAM) with the self-determination theory (SDT)…
Descriptors: Self Determination, Independent Study, Information Technology, Correlation
Armoni, Michal – Journal of Computers in Mathematics and Science Teaching, 2013
Abstraction is a key concept in CS, one of the most fundamental ideas underlying CS and its practice. However, teaching this soft concept to novices is a very difficult task, as discussed by many CSE experts. This paper discusses this issue, and suggests a general framework for teaching abstraction in CS to novices, a framework that would fit into…
Descriptors: Introductory Courses, Computer Science, Novices, Expertise
Achuthan, Krishnashree; Francis, Saneesh P.; Diwakar, Shyam – Education and Information Technologies, 2017
Learning theories converge on the principles of reflective learning processes and perceive them as fundamental to effective learning. Traditional laboratory education in science and engineering often happens in highly resource-constrained environments that compromise some of the learning objectives. This paper focuses on characterizing three…
Descriptors: Computer Simulation, Retention (Psychology), Transfer of Training, Metacognition
Cavanaugh, Gesulla – ProQuest LLC, 2014
The purpose of this study was first to determine factors associated with intellectual reputation, specifically among selected biomedical departments worldwide within the university setting. Second, the study aimed to examine intellectual reputation in relationship to doctoral graduates' productivity in the biomedical sciences and in relationship…
Descriptors: Reputation, Biomedicine, Doctoral Programs, Productivity
Romine, William L.; Banerjee, Tanvi – Journal of Science Education and Technology, 2012
Exemplary science instructors use inquiry to tailor content to student's learning needs; traditional textbooks treat science as a set of facts and a rigid curriculum. Publishers now allow instructors to compile pieces of published and/or self-authored text to make custom textbooks. This brings numerous advantages, including the ability to produce…
Descriptors: Evidence, Student Attitudes, Textbooks, Teaching Models
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