Fostering Higher-Order Learning in STEM Education: A Role for Science of Learning Victor Benassi Faculty Director, Center for Excellence and Innovation.

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Presentation transcript:

Fostering Higher-Order Learning in STEM Education: A Role for Science of Learning Victor Benassi Faculty Director, Center for Excellence and Innovation in Teaching and Learning Professor of Psychology University of New Hampshire Fostering Academic Success in STEM Conference April 27, 2018

Acknowledgments This work is made possible by a grant from the Davis Educational Foundation. The Foundation was established by Stanton and Elisabeth Davis after Mr. Davis's retirement as chairman of Shaw’s Supermarkets, Inc. Thanks also to the New Hampshire (UNH) Office of the Provost and Vice President for Academic Affairs and to the Instructional Design and Development office. Special thanks to Catherine Overson, Lauren Kordonowy, Elizabeth Tappin, Roy Richardson, Danney Rasco, and Michael Melville.

Kind of Knowledge Learning Processes Instructional method Based on Koedinger, et al. (2012). The Knowledge-Learning-Instruction (KLI) framework: Bridging the science-practice chasm to enhance robust student learning. Cognitive Science, 36, 757-798. Linking Kind of Knowledge, Learning Processes, and Instructional Method Use gettsyburg example

Pulling it Together

Learning, Instruction, & Activity Learning Objective Instructional Principle Learning Activity Facts Spacing and Retrieval Activities that promote retrieval (e.g, quizzing) Discrimination Categorization Classification Interleaving of practice Examples Content review Pairing concepts with examples Principles Mental model Problem-solving Self-Explanation Transfer-appropriate processing Self-explanation prompts for each section in a reading assignment Guiding questions Flashcard: Page 21 KLI Koedinger Memory is improved with Increased frequency Recall rather than recognition Distributed over time Guiding questions Page 21: Removing irrelevant and adding relevant features

Learning, Instruction, & Activity Learning Objective Instructional Principle Learning Activity Facts Spacing and Retrieval Activities that promote retrieval (e.g., quizzing) Flashcard: Page 21 KLI Koedinger Memory is improved with Increased frequency Recall rather than recognition Distributed over time Guiding questions Page 21: Removing irrelevant and adding relevant features

Numerous Studies on Fact Learning Carpenter, S. K. (2014). Spacing and interleaving of study and practice. In V. A. Benassi, C. E. Overson, & C. M. Hakala (Eds.), Applying the science of learning in education: Infusing psychological science into the curriculum. Retrieved from the Society for the Teaching of Psychology web site: http://teachpsych.org/ebooks/asle2014/index.php Pyc, M. A., Agarwal, P. K., & Roediger, H. L. (2014). Test-enhanced learning. In V. A. Benassi, C. E. Overson, & C. M. Hakala (Eds.), Applying the science of learning in education: Infusing psychological science into the curriculum. Retrieved from the Society for the Teaching of Psychology web site: http://teachpsych.org/ebooks/asle2014/index.php

Learning, Instruction, & Activity Learning Objective Instructional Principle Learning Activity Facts Spacing and Retrieval Activities that promote retrieval (e.g., quizzing) Discrimination Categorization Classification Interleaving of practice Examples Content review Pairing concepts with examples Flashcard: Page 21 KLI Koedinger Memory is improved with Increased frequency Recall rather than recognition Distributed over time Guiding questions Page 21: Removing irrelevant and adding relevant features

Interleaving: Revisiting the Past Course: Statistical Reasoning Overson, Stiegler-Balfour, Tappin, Melville, Rasco, & Benassi, 2016

What we did

Study Background: Sequence of Instruction and Quizzing Reading and instruction by teacher Statistical test is covered Review of Material on statistical test, including conditions to be met to use the test Completion of online module on the statistical test Non-Interleaving: Quiz on the current statistical test only Interleaving: Quiz on both the current statistical test and on previous tests Quiz Repeat until all statistical tests addressed

Eight Statistical Tests z test Single sample t Correlated-groups t Between-groups t ANOVA Chi Square Correlation Regression

Experimental Manipulation Within Course Statistical Reasoning (Rasco) N = 38

Comparing Question Conditions Results

Mean Proportion Correct on Final Exam on Choosing the Appropriate Statistical Test one sided p < .03 Error Bars: 95% CI

How might you incorporate this principle into your courses?

The Power of Examples in Improving Classification of Concepts Rawson, K. A., Thomas, R. C., & Jacoby, L. L. (2015). The power of examples: Illustrative examples enhance conceptual learning of declarative concepts. Educational Psychology Review, 27, 483-504.

Study Design In three lab experiments, under a variety of conditions, College students studied declarative concepts, followed by either examples of the concepts or by additional study of the concepts. On a later classification task, students were shown examples and were asked to identify which concept the example represented.

Study Design In three lab experiments, under a variety of conditions, Definition only Definition then Example Example then Definition On a later classification task, students were shown examples and were asked to identify which concept the example represented.

Refer to Rawson, et al., 2015, Figures 1A and 1B

How might you incorporate this principle into your courses?

Learning, Instruction, & Activity Learning Objective Instructional Principle Learning Activity Facts Spacing and Retrieval Activities that promote retrieval (e.g, quizzing) Discrimination Categorization Classification Interleaving of practice Examples Content review Pairing concepts with examples Principles Mental model Problem-solving Self-Explanation Transfer-Appropriate Processing Self-explanation prompts for each section in a reading assignment Guiding Questions Flashcard: Page 21 KLI Koedinger Memory is improved with Increased frequency Recall rather than recognition Distributed over time Guiding questions Page 21: Removing irrelevant and adding relevant features

Self-Explanation: Making sense and meaning of new information Course: Biological Science N = 148 Overson, Kordonowy, Benassi, Richardson, 2017

Self-explanation Self-monitoring of evolving understanding Mechanism Review new material Relate information to prior knowledge Generate questions based on new understanding Mechanism Identification of gaps in learning Helps modify flawed, existing mental models

What we did

Student Learning Activity Read assigned material Responded to prompts after each reading section What information is new? How do the new ideas work with what you already know? List two “I wonder (if, whether, why, how, which, where, who, etc.) . . .” questions that you have as a result of reading this section

Research Design Random assignment to one of two groups Self-explanation group Summary group

Comparing Question Conditions Results

Error Bars: 95% CI

Error Bars: 95% CI

Does background ability matter?

Mean Performance

How might you incorporate this principle into your courses?

Attending to relevant, related information Guiding Questions Attending to relevant, related information Stiegler-Balfour, J. J., & Benassi, V .A. (2015). Guiding questions promote learning of expository text for less-skilled readers. Scholarship of Teaching and Learning in Psychology, 14, 312-325.

Guiding Questions Transfer-Appropriate Processing in a Psychology of Consciousness Course N = 39 Completed Gates McGinity Reading Test Completed reading assignments Guiding questions for some assignments, not for others. Essay exam on all material. Focused on integration of concepts from readings.

Guiding Questions Examples Encouraged students to think about relationships among concepts from the readings: “What potential problems are there with the idea that consciousness causes our actions?” “What kinds of evidence suggest a dissociation between vasomotor control and visual perception?”

Learning Outcomes

How might you incorporate this principle into your courses?

Conclusions and Recommendations Do your courses already incorporate the kinds of principles I have discussed today? You can incorporate evidence-based principles, informed by science of learning, into your courses. You can expect to observe strong learning outcomes among your students.

Conclusions and Recommendations We have just scratched the service. Here are some sources:

Resource Benassi, V. A., Overson, C. E., & Hakala, C. M. (2014). Applying science of learning in education: Infusing psychological science into the curriculum. Retrieved from the Society for the Teaching of Psychology web site: http://teachpsych.org/e books/asle2014/index.php

Some User-Friendly websites Retrieval Practice http://www.retrievalpractice.org Pooja Argarwal The Learning Scientists http://www.learningscientists.org Megan Smith and Yana Weinstein

Some Accessible Videos Deep Learning (M. Chi) https://www.youtube.com/watch?v=uC-9lViDGL0 How People Learn (H. Roedinger) https://www.youtube.com/watch?v=4tz8gVPHhFE Teaching, Learning, and Technology: A Role for Science of Learning (V. Benassi) https://www.youtube.com/watch?v=NG439BzFh7I

Thank you