Lecture overview
This module introduces students to scientific inquiry and data-driven thinking. Working in small groups, students evaluate various claims about things that are “scientifically proven”. They create a hypothesis and design an experiment to test these claims. Students also 1) evaluate instances in which observational experiments are necessary, 2) construct a graph from a data set, and 3) draw conclusions from the data set.
Inquiry Learning OutcomesAt the end of this module, students will be able to:
- Distinguish among ideas that can and cannot be tested by science; evaluate statements and determine which are scientific or and which are not scientific.
- Create and defend a scientific argument by identifying and evaluating valid sources of scientific evidence.
- Distinguish among the scientific terms: theory, hypothesis, and prediction.
- Construct hypotheses to explain biological phenomena:
- Propose hypotheses that are appropriate to the given scenario or question.
- Evaluate several hypotheses to select the one which best explains observations, or is best supported by data.
- Predict what would be most likely to occur under given experimental conditions in a test of a specific hypothesis, and justify predictions using biological concepts.
- Design experiments to test biological hypotheses:
- Identify the dependent and independent variables, and control and experimental treatments in any experiment.
- Identify situations in which no “control treatment” is appropriate, and design an experiment where subjects are tested more than once or the experimental treatment levels take a wide range of values.
- Justify the steps and procedures for an experiment.
- Create graphs from a data set.
- Decide what type of graph is the most appropriate type to display a data set.
- Decide to which axis each variable should be assigned in order to represent a specific hypothesis properly.
- Use experimental results to support or refute a hypothesis:
- Interpret graphs and/or raw data with respect to a hypothesis
- Distinguish correlation from causation, and correctly attribute phenomena to biological mechanisms.
- Demonstrate how to distinguish observations/data resulting from a specific cause from those caused by random chance.
- Explain why experimental evidence may lead to multiple interpretations, and propose ways to address this limitation (e.g., many samples should be taken, many related experiments should be performed).
- Interpret and communicate scientific ideas effectively
- Use the conventions of scientific writing, including images and graphs, e.g. in laboratory reports.
- Interpret and paraphrase information from valid sources, such as the textbook and the primary literature.
- Explain why hypotheses and even theories may be subject to revision.
Sample Class Activities
- Students examine a claim that is “scientifically proven”. Some examples are provided (see below), but students can also search for other claims. These claims can be used to generate class discussion about science v/s not science, where scientific information can be found, and the importance of evidence. (Inquiry 1, Inquiry 2, Inquiry 3)
- Students propose a hypothesis and design an experiment to test their “claim”. Discussion of good hypotheses and experimental design can be generated by comparing hypotheses and experimental design amongst different students/groups. (Inquiry 4, Inquiry 5)
- Students consider an experiment on the effects of class attendance to performance in a class. This activity allows students the opportunity to compare controlled experiments to observational experiments. (Inquiry 5)
- Students construct a graph from hypothetical class attendance v/s class performance data. Discussion of appropriate graph type and format can be generated by comparing graphs amongst different students/groups. (Inquiry 6)
- Students generate a figure caption for the graph and draw conclusions. This is a good opportunity for discussion about correlation v/s causation, multiple interpretations of data, and revision of conclusions. (Inquiry 7, Inquiry 8, Inquiry 9)
- Some clicker questions are provided, which can be interspersed throughout the module or given at the end as a quiz:
