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Carrazoni, Guilherme Salgado; Chaves, Amanda Dalla'corte; da Rocha, Claudio Felipe Kolling; Mello-Carpes, Pâmela Billig – Advances in Physiology Education, 2023
We created the "3-dimensional synaptic puzzle" (3Dsp) as an educational resource for the physiology teaching of synaptic transmission (ST). In this study, we aimed to apply and evaluate the use of 3Dsp. For this, we divided 175 university students from public and private universities into two groups: (1) control (CT; students that were…
Descriptors: Physiology, Science Instruction, Teaching Methods, Learning Processes
Murniati, Neni; Susilo, Herawati; Listyorini, Dwi – Pegem Journal of Education and Instruction, 2023
The learning model should be able to improve student's learning abilities. The Brain-Based Whole Learning (BBWL) model is one of the alternative learning models that can improve students' retention achievement, supported by scientific literacy and concept mastery. This study aims to determine the effect of the BBWL model on students' scientific…
Descriptors: Retention (Psychology), Brain Hemisphere Functions, Learning Processes, Models
Clark, Caron A. C.; Helikar, Tomáš; Dauer, Joseph – CBE - Life Sciences Education, 2020
The creation and analysis of models is integral to all scientific disciplines, and modeling is considered a core competency in undergraduate biology education. There remains a gap in understanding how modeling activities may support changes in students' neural representations. The aim of this study was to evaluate the effects of simulating a model…
Descriptors: Computer Simulation, Brain Hemisphere Functions, Undergraduate Students, Biology
Parong, Jocelyn; Mayer, Richard E. – Journal of Computer Assisted Learning, 2021
As immersive virtual reality (IVR) systems proliferate in classrooms, it is important to understand how they affect learning outcomes and the underlying affective and cognitive processes that may cause these outcomes. Proponents argue that IVR could improve learning by increasing positive affective and cognitive processing, thereby supporting…
Descriptors: Virtual Classrooms, Cognitive Processes, Affective Behavior, Comparative Analysis
Youdell, Deborah; Lindley, Martin; Shapiro, Kimron; Sun, Yu; Leng, Yue – British Journal of Sociology of Education, 2020
In this paper we begin to explore how knowledges being generated in bioscience might be brought into productive articulation with the Sociology of Education, considering the potential for emerging transdisciplinary, 'biosocial' approaches to enable new ways of researching and understanding pressing educational issues. In this paper, as in our…
Descriptors: Interdisciplinary Approach, Neurosciences, Diagnostic Tests, Brain Hemisphere Functions
Lamb, Richard; Cavagnetto, Andy; Akmal, Tariq – International Journal of Science and Mathematics Education, 2016
A critical problem with the examination of learning in education is that there is an underlying assumption that the dynamic systems associated with student information processing can be measured using static linear assessments. This static linear approach does not provide sufficient ability to characterize learning. Much of the modern research…
Descriptors: Cognitive Processes, Learning Processes, Science Instruction, Models
Kumar, S. Prasanna – Online Submission, 2018
Sensory integration takes place in the central nervous system where complex interactions such as co-ordination, attention, arousal levels, autonomic functioning, emotions, memory and higher level cognitive functions are carried out. Sensory integration gets information through the senses, puts it together with prior knowledge, information and…
Descriptors: Science Instruction, Sensory Integration, Teaching Methods, Short Term Memory
Hankins, George. – Engineering Education, 1987
Describes the novice-to-expert model of human learning and compares it to the recent advances in the areas of artificial intelligence and expert systems. Discusses some of the characteristics of experts, proposing connections between them with expert systems and theories of left-right brain functions. (TW)
Descriptors: Artificial Intelligence, Brain Hemisphere Functions, College Science, Engineering Education