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Dayal, Priya Dharshni; Ali-Chand, Zakia – New Zealand Journal of Educational Studies, 2022
This paper discusses the significance of model-based teaching on the topic of ionic and metallic bonding in Year 12 Chemistry in a New Zealand secondary school. Based on the conceptualization of the sub-macro level understanding of the bonding structure and properties of ionic and metallic compounds, models and drawings were used as an effective…
Descriptors: Science Instruction, Teaching Methods, Chemistry, Models
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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
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
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Lemmer, Miriam – Africa Education Review, 2018
Science teaching and learning require knowledge about how learning takes place (cognition) and how learners interact with their surroundings (affective and sociocultural factors). The study reported on focussed on learning for understanding of Newton's second law of motion from a cognitive perspective that takes social factors into account. A…
Descriptors: Science Education, Physics, Scientific Principles, Motion
Ye, Cheng; Segedy, James R.; Kinnebrew, John S.; Biswas, Gautam – International Educational Data Mining Society, 2015
This paper discusses Multi-Feature Hierarchical Sequential Pattern Mining, MFH-SPAM, a novel algorithm that efficiently extracts patterns from students' learning activity sequences. This algorithm extends an existing sequential pattern mining algorithm by dynamically selecting the level of specificity for hierarchically-defined features…
Descriptors: Learning Activities, Learning Processes, Data Collection, Student Behavior
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Badreddine, Zeynab; Buty, Christian – International Journal of Science Education, 2011
Teaching and learning are time-dependant processes. It can be hypothesised that the content coherence during a teaching sequence is an important factor of learning. In this perspective, it is of great interest to follow the occurrences of a notion and the development of its meanings in the classroom discourse, all along the various sessions of a…
Descriptors: Foreign Countries, Video Technology, Grade 7, Physics
SHAPOVALENKO, S.G. – 1964
DEVELOPMENT OF NON-MACHINE PROGRAMED INSTRUCTION ACCORDING TO STATE-SPECIFIED EDUCATIONAL GOALS AND TRADITIONAL PSYCHOLOGICAL PRINCIPLES WILL ALLOW EFFICIENT, INDEPENDENT, CONTROLLED LEARNING, BUT MUST BE USED IN COMBINATION WITH CONVENTIONAL INSTRUCTION TO FORTIFY IN PUPILS THE FEELING OF COLLECTIVISM. EXPERIMENTAL WORK WITH SEVENTH GRADE SHOWS…
Descriptors: Academic Achievement, Algorithms, Chemistry, Conventional Instruction
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Winn, William – Journal of Research in Science Teaching, 1988
Reports on students' study and drawing of five electronic circuit diagrams. Concludes that the success of the students depended upon the amount of detail in the instructional diagrams. (RT)
Descriptors: Cognitive Processes, Cognitive Style, Educational Research, Holistic Approach