ArticleCBE life sciences education2021
Teaching Metabolism in Upper-Division Undergraduate Biochemistry Courses using Online Computational Systems and Dynamical Models Improves Student Performance.
Article in CBE life sciences education, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
9 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Integrating Digital Technologies Into Biochemistry Education: A Decade of Efforts, Pandemic Impacts, and Emerging Insights.Biochemistry and molecular biology education : a bimonthly publication of the International Union of Biochemistry and Molecular BiologyPooled it
- Metabolic Supercharging: Active Learning Strategies for Increasing Student Engagement With Metabolism.Biochemistry and molecular biology education : a bimonthly publication of the International Union of Biochemistry and Molecular BiologyPooled it
- Evaluating Medical Biochemistry Teaching and Learning Through Simulation: A Mixed-Methods, Quasi-Experimental Study in Medical Students in Ecuador.CBE life sciences education · 2026Article
- Comparison of the teaching clinical biochemistry in face-to-face and the flex-flipped classroom to medical and dental students: a quasi-experimental study from IRAN.BMC medical education · 2024Article
- Forming Groups in a Large-Enrollment Biology Class: Group Permanence Matters More than Group Size.CBE life sciences education · 2023Article
- An acceptability study of the introduction of total online or partial online PBL in a large classroom setting in biochemistry.BMC medical education · 2023Article
- Storytelling as a Tool to Enhance Conceptual Knowledge in Cell Biology.Journal of microbiology & biology education · 2022Article
- Design and Implementation of a Tool to Assess Students' Understanding of Metabolic Pathways Dynamics and Regulation.CBE life sciences education · 2021Article
- Use of interactive mathematical simulations in Fundamentals of Biochemistry, a LibreText online educational resource, to promote understanding of dynamic reactions.Biochemistry and molecular biology education : a bimonthly publication of the International Union of Biochemistry and Molecular BiologyArticle
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Understanding metabolic function requires knowledge of the dynamics, interdependence, and regulation of metabolic networks. However, multiple professional societies have recognized that most undergraduate biochemistry students acquire only a surface-level understanding of metabolism. We hypothesized that guiding students through interactive computer simulations of metabolic systems would increase their ability to recognize how individual interactions between components affect the behavior of a system under different conditions. The computer simulations were designed with an interactive activity (i.e., module) that used the predict-observe-explain model of instruction to guide students through a process in which they iteratively predict outcomes, test their predictions, modify the interactions of the system, and then retest the outcomes. We found that biochemistry students using modules performed better on metabolism questions compared with students who did not use the modules. The average learning gain was 8% with modules and 0% without modules, a small to medium effect size. We also confirmed that the modules did not create or reinforce a gender bias. Our modules provide instructors with a dynamic, systems-driven approach to help students learn about metabolic regulation and equip students with important cognitive skills, such as interpreting and analyzing simulation results, and technical skills, such as building and simulating computer-based models.
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Registered trials
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