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Vázquez-Bernal, Bartolomé; Jiménez-Pérez, Roque – Science & Education, 2023
The objective of this work was the theoretical modeling of a construct based on teaching practice about the perception that pupils have of difficulties in problem solving (PS) in experimental sciences, specifically physics, to predict pupil performance in PS. The research was carried out with an incidental sample of second year of secondary…
Descriptors: Teaching Methods, Models, Teacher Attitudes, Science Instruction
Gibbons, Rebecca E.; Xu, Xiaoying; Villafañe, Sachel M.; Raker, Jeffrey R. – Educational Psychology, 2018
Affective factors such as the achievement emotions are considered critical for students' academic performance in STEM degree programmes and careers. In this study, a reciprocal causation model was tested between two affective factors: enjoyment and anxiety, and organic chemistry course performance. Each variable was measured three times in four…
Descriptors: Causal Models, Affective Behavior, Psychological Patterns, Anxiety
Hai Thanh Nguyen – ProQuest LLC, 2020
Socio-Scientific Issues (SSI) appear to be a viable means for promoting students' development of science literacy, providing relevance to scientific concepts for students to apply their understandings and make sense of science-related issues. However, the question remains as to how their reasoning competencies regarding these issues interact with…
Descriptors: Science Instruction, Science Education, Scientific Literacy, Science and Society
Greene, Jeffrey A.; Bernacki, Matthew L.; Plumley, Robert D.; Kuhlmann, Shelbi L.; Hogan, Kelly A.; Evans, Mara; Gates, Kathleen M.; Panter, Abigail T. – Journal of Educational Psychology, 2023
Undergraduate science, technology, engineering, and mathematics (STEM) students' motivations have a strong influence on whether and how they will persist through challenging coursework and into STEM careers. Proper conceptualization and measurement of motivation constructs, such as students' expectancies and perceptions of value and cost (i.e.,…
Descriptors: Biology, Science Instruction, Student Attitudes, Learning Motivation
Lombardi, Doug; Bickel, Elliot S.; Bailey, Janelle M.; Burrell, Shondricka – Science Education, 2018
Evaluation is an important aspect of science and is receiving increasing attention in science education. The present study investigated (1) changes to plausibility judgments and knowledge as a result of a series of instructional scaffolds, called model-evidence link activities, that facilitated evaluation of scientific and alternative models in…
Descriptors: High School Students, Science Instruction, Earth Science, Knowledge Level
Sideridis, Georgios D.; Tsaousis, Ioannis; Alamri, Abeer A. – Educational and Psychological Measurement, 2020
The main thesis of the present study is to use the Bayesian structural equation modeling (BSEM) methodology of establishing approximate measurement invariance (A-MI) using data from a national examination in Saudi Arabia as an alternative to not meeting strong invariance criteria. Instead, we illustrate how to account for the absence of…
Descriptors: Bayesian Statistics, Structural Equation Models, Foreign Countries, Error of Measurement
Lin, Xiao-Fan; Tang, Dandan; Shen, Weipeng; Liang, Zhong-Mei; Tang, Yaner; Tsai, Chin-Chung – International Journal of Science Education, 2020
This study examines the correlations between perceived technology-assisted teacher support; student hardiness (i.e. individual commitment, challenge, and control); and technology-embedded scientific inquiry (TESI) using a mediational model approach. Data were gathered from the series of questionnaires administered to 1566 Chinese students with an…
Descriptors: Foreign Countries, Technology Uses in Education, Scientific Research, Student Characteristics
van Joolingen, W. R.; Aukes, Annika V.; Gijlers, H.; Bollen, L. – Journal of Science Education and Technology, 2015
Modeling is an important approach in the teaching and learning of science. In this study, we attempt to bring modeling within the reach of young children by creating the SimSketch modeling system, which is based on freehand drawings that can be turned into simulations. This system was used by 247 children (ages ranging from 7 to 15) to create a…
Descriptors: Models, Teaching Methods, Science Instruction, Freehand Drawing
Huang, Wen; Roscoe, Rod D.; Craig, Scotty D.; Johnson-Glenberg, Mina C. – Journal of Educational Computing Research, 2022
Virtual reality (VR) has a high potential to facilitate education. However, the design of many VR learning applications was criticized for lacking the guidance of explicit and appropriate learning theories. To advance the use of VR in effective instruction, this study proposed a model that extended the cognitive-affective theory of learning with…
Descriptors: Affective Behavior, Learning Theories, Computer Simulation, Teaching Methods
Badri, Masood; Alnuaimi, Ali; Mohaidat, Jihad; Al Rashedi, Asma; Yang, Guang; Al Mazroui, Karima – International Journal of STEM Education, 2016
Background: This study is about Abu Dhabi high school students' interest in science in different contexts. The survey was conducted in connection with the international project, the Relevance of Science Education (ROSE). The sample consists of 5650 students in public and private schools. A structural equation model (SEM) is developed to capture…
Descriptors: Science Instruction, Career Choice, Science Interests, Student Interests
Nordqvist, Ola; Johansson, Stefan – EURASIA Journal of Mathematics, Science and Technology Education, 2020
In biotechnology education research (BTER), the multifaceted construct of attitude has seldom been problematised in depth despite that the majority of studies in BTER during the last two decades have focused on students' attitudes towards modern biotechnology. Most studies on attitudes in science education use a single-factor model in…
Descriptors: Secondary School Students, Biology, Science Instruction, Biotechnology
Villafañe, Sachel M.; Xu, Xiaoying; Raker, Jeffrey R. – Chemistry Education Research and Practice, 2016
Self-efficacy is an affective learning outcome that has been associated with academic performance and retention in STEM. Self-efficacy has been defined as students' beliefs about their ability to complete a given task, and it can be affected by a student's positive or negative experience in a course. In this study, students' chemistry…
Descriptors: Self Efficacy, Organic Chemistry, Science Instruction, Teaching Methods
Lee, Christine S.; Hayes, Kathryn N.; Seitz, Jeffery; DiStefano, Rachelle; O'Connor, Dawn – International Journal of Science Education, 2016
Middle school has been documented as the period in which a drop in students' science interest and achievement occurs. This trend indicates a lack of motivation for learning science; however, little is known about how different aspects of motivation interact with student engagement and science learning outcomes. This study examines the…
Descriptors: Middle School Students, Science Instruction, Student Motivation, Science Interests
McKim, Aaron J.; Pauley, Catlin M.; Velez, Jonathan J.; Sorensen, Tyson J. – Journal of Agricultural Education, 2018
Providing interdisciplinary learning opportunities in agriculture, food, natural resources (AFNR), and science is critically important. School-based agricultural education offers a valuable platform to connect AFNR and science; however, interdisciplinary teaching requires willing and able teachers. The current study considered the intentions of…
Descriptors: Interdisciplinary Approach, Agricultural Education, Food, Teaching Methods
Genç, Murat; Akilli, Mustafa – Journal of Baltic Science Education, 2019
It is important to create positive attitudes and enough knowledge for preservice science teachers about renewable energy for future. The aim of this research was to show the correlation between renewable energy knowledge and subdimensions of attitude towards renewable energy with Structural Equation Modeling (SEM). The research was conducted by…
Descriptors: Correlation, Energy, Energy Conservation, Positive Attitudes