Education for the 21 Century

1. Nobel Prize Data!! Education for the 21 Century A scientific approach to teaching science (and many other subjects) Carl Wieman Colorado physics & chem education research group: W. Adams, K. Perkins, K. Gray, L. Koch, J. Barbera, S. McKagan, N. Finkelstein, S. Pollock, R. Lemaster, S. Reid, C. Malley, M. Dubson... $$ NSF, Kavli, Hewlett)

2. Science Education in the 21 Century I) Purpose of science education. II) What does research tell us about learning science. III) What does research say about how to teach science more effectively. IV) Some technology that can help.

3. Purpose of science education historically-- training next generation of scientists (< 1%) • Scientifically-literate populace--wise decisions • Workforce in modern economy. Need science education effective and relevant for large fraction of population! Unprecedented educational challenge!

4. Effective education Transform how think-- Think about and use science like a scientist. Possible for most students??

5. Hypothesis-- Yes, if approach teaching of science like a science-- • Practices based on good data • Utilize research on how people learn • Disseminate results in scholarly manner, • & copy what works • Utilize modern technology  improve effectiveness and efficiency Supporting the hypothesis.....

6. ?????????????????????????????????????????? II) What does research tell us about learning science. How to teach science:(I used) 1. Think very hard about subject, get it figured out very clearly. 2. Explain it to students, so they will understand with same clarity. grad students

7. ? 17 yr 17 yrs of success in classes. Come into lab clueless about physics? 2-4 years later  expert physicists! ?????? • Research on how people learn, particularly science. • above actually makes sense. •  ideas for improving teaching. Teaching and science education research = rigorous, intellectually challenging

8. Data on effectiveness of traditional science teaching. -lectures, textbook homework problems, exams 1. Retention of information from lecture. 2. Conceptual understanding. 3. Beliefs about science and problem solving. Mostly intro college physics (best data), but other subjects and levels consistent.

9. Data 1. Retention of information from lecture I. Redish- students interviewed as came out of lecture. "What was the lecture about?" only vaguest generalities II. Rebello and Zollman- 18 students answer six questions. Then told to get answers to the 6 questions from 14 minute lecture. (Commercial video, highly polished) Most questions, less than one student able to get answer from lecture. III. Wieman and Perkins - test 15 minutes after told nonobvious fact in lecture. 10% remember

10. Does this make sense? Can it possibly be generic?

11. Cognitive science says yes. a. Cognitive load-- best established, most ignored. Maximum ~7 items short term memory, process 4 ideas at once. MUCH less than in typical science lecture Mr Anderson, May I be excused? My brain is full.

12. Traditional Lecture courses Fraction of unknown basic concepts learned Data 2. Conceptual understanding in traditional course. • Force Concept Inventory- basic concepts of force and motion 1st semester physics Ask at start and end of semester-- 100’s of courses On average learn <30% of concepts did not already know. Lecturer quality, class size, institution,...doesn't matter! R. Hake, ”…A six-thousand-student survey…” AJP 66, 64-74 (‘98).

13. Data 3. Beliefs about science and problem solving Expert Novice Content: isolated pieces of information to be memorized. Handed down by an authority. Unrelated to world. Problem solving: pattern matching to memorized recipes. Content: coherent structure of concepts. Describes nature, established by experiment. Prob. Solving: Systematic concept-based strategies. Widely applicable. nearly all intro physics courses more novice ref. Redish et al, CU work--Adams, Perkins, MD, NF, SP, CW *adapted from D. Hammer

14. Instruction built around concepts & delivered by experts, but.. not learning concepts? learning novice beliefs? Cognitive science explains.

15. or ? Expert competence • Expert competence = • factual knowledge • Organizational structure effective retrieval and use of facts • Ability to monitor own thinking • ("Do I understand this? How can I check?") • New ways of thinking--require extended focused mental effort to “construct”. • Built on prior thinking. • (long-term memory development)

16. Cognitive science matches classroom results: • Most students passing courses by learning memorization of facts and problem solving recipes. • Not thinking like experts. • Not learning concepts. • (how experts organize and use scientific knowledge) • Not learning expert-like beliefs & problem solving.

17. 17 yrs of success in classes. Come into lab clueless about physics? 2-4 years later  expert physicists! ?????? Makes sense! Traditional science course poor at developing expert-like thinking. Principle  people learn by creating own understanding. Effective teaching = facilitate creation, by engaging, then monitoring & guiding thinking. Exactly what is happening continually in research lab!

18. Retention of information from lecture 10% after 15 minutes  >90 % after 2 days • Conceptual understanding gain • 25%  50-70% • Beliefs about physics and problem solving • significant drop  small improvement III. Using research to teach science more effectively in classes. Results when develop/copy research-based pedagogy looking a lot like science!

19. Research guided pedagogy-- a few examples 1. Reducing cognitive load improves learning. (slow down, organization, figures, reduce jargon,...)

20. Beliefs  content learning Beliefs  choice of major/retention Teaching practices  students’ beliefs typical significant decline (phys and chem) 2. Importance of student beliefs about science and science problem solving Avoid decline if explicitly address beliefs. (+ increased motivation) Why is this worth learning? How does it connect to real world? Why does this make sense? How connects to things student already knows?

21. Effective teaching = facilitate creation of understanding by engaging, then monitoring & guiding thinking. • 3. Actively engage students and guide their learning. • Know where students are starting from. • Get actively processing ideas, then probe and guide thinking. (requires “pedagogical content knowledge”) • Extended “effortful study” (homework) focusing on developing expert-thinking and skills. • (Develop long term memory)

22. Mentally engaging, monitoring, & guiding thinking. 200 students at a time?! Technology can make possible.(when used properly) examples: a. student personal response systems (“clickers”) b. interactive simulations

23. (%) 3 2 1 A B C D E a. “Clickers”--facilitate active thinking, probing student thinking, and useful guidance. When switch is closed, bulb 2 will a. stay same brightness, b. get brighter c. get dimmer, d. go out. "Jane Doe picked B" individual #

24. clickers- Used properly transforms classroom. Dramatically improved engagement, discourse, number (x4) and distribution of questions. Not automatically helpful-- Only provides: accountability + peer anonymity+ fast feedback Effective when use guided by how people learn. Questions and follow-up-- Students actively engaged in figuring out. Student-student discussion (“convince neighbors of answer”) & enhanced student-instructor communication  rapid + targeted = effective feedback.

25. b. Interactive simulations phet.colorado.edu Physics Education Technology Project (PhET) >50 simulations Wide range of physics (& chem) topics. Run in regular web-browser. laser balloon and sweater supported by: Hewlett Found., Kavli, NSF, Univ. of Col., and A. Nobel

26. examples: balloon and sweater moving man circuit construction kit Simulation testing  educational microcosm. See all the elements of how people learn found in very different contexts. • Know subject • Know student thinking about subject • Address in simulation design.

27. Summary: Need new, more effective approach to science ed. Solution: Approach teaching as we do science • Practices based on good data • Utilize research on how people learn • Disseminate results & copy what works • Utilize modern technology and teaching is more fun! Good Refs.: NAS Press “How people learn” , "How students learn" Mayer, “Learning and Instruction” (ed. psych. applied) Redish, “Teaching Physics” (Phys. Ed. Res.) Wieman and Perkins, Physics Today (Nov. 2005) CLASS belief survey: CLASS.colorado.edu phet simulations: phet.colorado.edu

28. 1  8 V B 2  A 12 V 1  Data 2. Conceptual understanding in traditional course (cont.) electricity Eric Mazur 70% can calculate currents and voltages in this circuit. 40% correctly predict change in brightness of bulbs when switch closed! How can this be? Solving test problems, but not thinking like expert!

29. Good data Traditional approaches not successful Research based approaches  much better learning. • Practices based on good data • Utilize research on how people learn • Disseminate results & copy what works • Utilize modern technology • Works! How to make it the norm for every teacher? (Next hundred years of Carnegie Foundation A. T.)

30. V. Issues in structural change(my assertions) Necessary requirement--become part of culture in major research university science departments set the science education norms  produce the college teachers, who teach the k-12 teachers. • Challenges in changing science department cultures-- • no coupling between support/incentives • and student learning. • very few authentic assessments of student learning • investment required for development of assessment tools, pedagogically effective materials, supporting technology, training • no $$$ (not considered important)