2001
DOI: 10.1021/ed078p56
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The Data-Driven Classroom

Abstract: In the data-driven classroom, students are actively engaged in organizing and interpreting data with the goal of developing reasonable explanations of those data. The characteristics of this classroom paradigm are student centered, inquiry based, and collaborative. Additionally, the data-driven classroom develops habits of critical thinking not generally fostered in more traditional approaches. We have experimented with this approach and provide some preliminary observations.

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Cited by 11 publications
(8 citation statements)
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“…Historically, both lecture and laboratory concepts are conveyed to second-year organic chemistry students in a context whereby principles are simply stated, and experimental data, if presented or collected, are used to justify a previously established principle. This principle-first-then-data justification approach is a time-efficient method of content delivery, but it does come with trade-offs . This traditional approach does not develop the logic of the scientific method.…”
Section: Pedagogical Approach To Exercisementioning
confidence: 99%
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“…Historically, both lecture and laboratory concepts are conveyed to second-year organic chemistry students in a context whereby principles are simply stated, and experimental data, if presented or collected, are used to justify a previously established principle. This principle-first-then-data justification approach is a time-efficient method of content delivery, but it does come with trade-offs . This traditional approach does not develop the logic of the scientific method.…”
Section: Pedagogical Approach To Exercisementioning
confidence: 99%
“…This principle-first-then-data justification approach is a time-efficient method of content delivery, but it does come with trade-offs. 1 This traditional approach does not develop the logic of the scientific method. The result of such an approach is that independent concepts are relegated to mere stated facts that need to be memorized rather than being derived via the interpretation of data.…”
Section: ■ Pedagogical Approach To Exercisementioning
confidence: 99%
“…While LCAs generally focus on environmental impacts, TEAs may use the same or similar data to analyze production costs and revenue from product streams . They may serve to not only broaden the truly impressive efforts of chemical educators developing Green Chemistry experiments but help guide future education research toward making teaching laboratories safer and more sustainable, having these efforts become more transparent and data-driven. , These tools may allow students to first target individual impacts via metrics, like reagent cost or atom economy, and then connect these interrelated ideas via suggested changes to the procedure of an experiment, for example, using an alternative and potentially safer solvent for a reaction and evaluating how this change may affect both cost and atom economy. From here instructors may go one step beyond and include student suggestions in future iterations of the laboratory, potentially serving to help replace an outdated solvent in this instance.…”
Section: Introductionmentioning
confidence: 99%
“…Rather, students must mimic the actions of professional researchers by transforming data into knowledge and structuring their arguments to support specific claims/conclusions. This type of inquiry-based writing encourages active participation in the scientific process, enhancing engagement and learning [ 6 , 7 ].…”
Section: Introductionmentioning
confidence: 99%