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Cheng-Wen He; Logan Fiorella; Paula P. Lemons – Educational Psychology Review, 2025
This study tested competing theories about the effectiveness of different instructional sequences for learners with different levels of prior knowledge. Across two classroom experiments, undergraduates learned about noncovalent interactions in biochemistry by either receiving explicit instruction before problem-solving (I-PS group) or engaging in…
Descriptors: Instructional Effectiveness, Problem Solving, Prior Learning, Learning Processes
Yu-Cin Jian; Leo Yuk Ting Cheung; Yi-Jye Wu; Fang-Ying Yang; Guo-Li Chiou – Instructional Science: An International Journal of the Learning Sciences, 2024
Computer-simulated experiments have been gaining popularity over hands-on experiments in science education, given the availability of technology and the trend of distance learning. Past studies have focused primarily on comparing the learning outcomes and user experiences of the two experiment modes. In this study, we used an eye tracker to…
Descriptors: Eye Movements, Experiential Learning, Computer Simulation, Science Experiments
Paary Balakumar; Heather Fice; Samuel Richer; Tamara L. Western; Jacqueline Yao – International Journal for Students as Partners, 2024
Introductory science courses can be a struggle for instructors and students not only because of the challenging nature of the material, but also due to differences in the background knowledge of students. Provision of pre-lecture resources reviewing or introducing key concepts is recommended to support diverse students. In this paper, we describe…
Descriptors: Introductory Courses, Genetics, Science Instruction, Student Attitudes
Al Mamun, Md Abdullah; Lawrie, Gwendolyn – Smart Learning Environments, 2023
Technological innovations and changing learning environments are influencing student engagement more than ever before. These changing learning environments are affecting the constructs of student behavioural engagement in the online environment and require scrutiny to determine how to facilitate better student learning outcomes. Specifically,…
Descriptors: Instructional Design, Student Behavior, Inquiry, Learner Engagement
Jihoon Kang; Jina Kim – Journal of Baltic Science Education, 2024
While existing studies have underscored the educational benefits of generating explanatory hypotheses (EHs) in response to unexpected outcomes, empirical research on the underlying mechanisms driving their effectiveness in science learning remains limited. Thus, this study aimed to empirically examine the effectiveness of generating an EH for…
Descriptors: Science Instruction, Learning Processes, Protocol Analysis, Scientific Concepts
Gao, Yizhu; Zhai, Xiaoming; Andersson, Björn; Zeng, Pingfei; Xin, Tao – Research in Science Education, 2020
We applied latent class analysis and the rule space model to verify the cumulative characteristic of conceptual change by developing a learning progression for buoyancy. For this study, we first abstracted seven attributes of buoyancy and then developed a hypothesized learning progression for buoyancy. A 14-item buoyancy instrument was…
Descriptors: Learning Processes, Concept Formation, Middle School Students, Grade 8
Petchey, Sara; Treagust, David; Niebert, Kai – CBE - Life Sciences Education, 2023
Abstract concepts dominate university science teaching, and much of this content is taught without sufficient connection to students' prior knowledge or everyday experiences. As this can be problematic for students, the aim of this research was to determine the utility and effectiveness of a professional development module on using analogies to…
Descriptors: Instructional Improvement, Science Instruction, Teaching Methods, Figurative Language
Horiguchi, Tomoya; Masuda, Tetsuhiro; Tomoto, Takahito; Hirashima, Tsukasa – Research and Practice in Technology Enhanced Learning, 2019
In science education, building models of dynamical systems is a promising method for understanding various natural phenomena and artifacts with scientific concepts. It is, however, difficult to learn skills and concepts necessary for modeling. Though several model-building learning environments (MBEs) have been developed with potentially useful…
Descriptors: Science Education, Learning Processes, Scientific Concepts, Systems Approach
D'Eon, Marcel; Yasinian, Maryam – Higher Education Research and Development, 2022
In this article, we propose a new model of student workload. We conducted an extensive literature review of student workload, its impact on students' lives, factors influencing student workload, objective and subjective measurements. The previous conceptualizations of student workload conflate student work and course workload, two related but…
Descriptors: Physics, Science Instruction, Learning Processes, Barriers
Ekström, Linda; Lundholm, Cecilia – Journal of Political Science Education, 2018
A review of research into teaching and learning in political science education concludes that this literature emphasizes student outcomes and "show and tell" descriptions of pedagogical interventions (Craig 2014). The present study instead aims to open the "black box" of conceptual learning in political science, illustrating…
Descriptors: Political Science, Scientific Concepts, Foreign Countries, Learning Processes
Portnoy, Lindsay; Lemberger, Talia – Information and Learning Sciences, 2022
Purpose: Approaches to learning have the ability to influence knowledge acquisition, comprehension, retention and even motivation to learn. Previous work indicates that despite age, experience, or prior knowledge, students have a tendency to approach learning differently as a function of the presented content. The purpose of this study is to…
Descriptors: Cognitive Style, Learning Processes, Science Education, History
Roelle, Julian; Renkl, Alexander – Journal of Educational Psychology, 2020
Example-based learning often uses a design in which learners first receive basic instructional explanations of new principles and concepts and then examples thereof. In this sequence, it is crucial that learners self-explain by using the content of the basic instructional explanations to elaborate on the examples. Typically, learners are not…
Descriptors: Demonstrations (Educational), Self Concept, High School Students, Instructional Effectiveness
Toh, Pee Li Leslie; Kapur, Manu – Instructional Science: An International Journal of the Learning Sciences, 2017
A critical assumption made in Kapur's ("Instr Sci" 40:651-672, 2012) productive failure design is that students have the necessary prerequisite knowledge resources to generate and explore solutions to problems before learning the targeted concept. Through two quasi-experimental studies, we interrogated this assumption in the context of…
Descriptors: Prerequisites, Prior Learning, Problem Solving, Failure
So, Winnie Wing-Mui; Chen, Yu – Asia-Pacific Forum on Science Learning and Teaching, 2018
E-learning is playing a significant and increasing role in elementary science education. The purpose of this study was to explore how primary Grade 3 students constructed an understanding of seasons through a series of interactive e-learning activities. One class of Grade 3 students from one local primary school was invited to participate in this…
Descriptors: Electronic Learning, Elementary School Students, Weather, Grade 3
Wang, Jeremy Yi-Ming – ProQuest LLC, 2018
This dissertation examines the thesis that implicit learning plays a role in learning about scientific phenomena, and subsequently, in conceptual change. Decades of research in learning science demonstrate that a primary challenge of science education is overcoming prior, naive knowledge of natural phenomena in order to gain scientific…
Descriptors: Learning Processes, Science Education, Science Process Skills, Intuition