Welcome and Challenge
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Transcript of Welcome and Challenge
Welcome and Challenge
Pat MarstellerBQ Faculty Workshop
June 2013
Cases, Data, Simulations, Tools
We use Math Everyday!http://www.youtube.com/watch?v=TaAftRgptkQ
Reports, Reports, Reports
Using Data in Undergraduate Science Classrooms (2002)
Shaping the Future: New Expectations for Undergraduate Education in Science, Mathematics, Engineering, and Technology (NSF 96-139)
Shaping the Future Volume II: Perspectives on Undergraduate Education in Science, Mathematics, Engineering, and Technology NSF 98-128
NRC Board on
Life Sciences (2009).
MAA(2004)
NRC Board on Life Sciences
(2003)
MAA (2005)
American Association for the Advancement of Science &
National Science Foundation(2011)
Association of American Medical
Colleges &Howard Hughes Medical Institute
(2009)College Board (2011)
Biology education should be interdisciplinary with a strong emphasis on developing quantitative skills.
Laboratory courses should focus on developing critical thinking skills.
Students should pursue independent research. Teaching methods should be examined. Resources must be adequate. Faculty should be rewarded.
Bio 2010 Recommendations
Core competencies V&C Fundamental Understanding of the Process of science
Quantitative competency and the ability to interpret data
Basic computational skills
The ability to see connections between biology and other disciplines
Competency in communication and collaboration
Understanding of how biology is practiced in a societal context with potential to address critical issues in society and global issues
9National Research Council 2000 National Research Council 2003
What are we waiting for?
How People Learn: Brain, Mind, Experience and School. National Research Council, National Academy Press, 2000.
Learners come “to formal education with a range of prior knowledge, skills, beliefs and concepts” which affect:
• what learners notice,• how they reason and solve problems,• how they remember (p.10).
The collaborative investigation of cases (and problem spaces) provides opportunities for learners to share and question what they already know with their peers.
Effective Learning and TeachingQuality, not Quantity
Connects New Knowledge to Old
Constructive, restructures old frameworks based on new knowledge
Concrete to Abstract: embed specifics in organized, coherent frameworks
Relevant and Real
Active
How People Learn: Brain, Mind, Experience and School. National Research Council, 2000
AP RedesignBiology, Chemistry, Environmental Science, Physics (2012-16)
• Big Ideas / Unifying Themes
• Enduring Understandings• Competencies• Evidence Models
(Formative Assessments)
Evidence of Learning• The student can use
representations and models to communicate scientific phenomena and solve scientific problems.
• The student can use mathematics appropriately
• The student can engage in scientific questioning
• The student can perform data analysis and evaluation of evidence
• The student can work with scientific explanations and theories
• The student is able to transfer knowledge across various scales, concepts, and representations in and across domains
Next Generation Science Standards Investigate, build models &
theories
Includes engineering practices
Crosscutting patterns, scale, cause & effect etc
Core ideas; key concepts, broad import, relate to student interests, learnable across grade levels
http://nextgenscience.org/
I repeatWhat are we waiting for?
Cases, Simulations, Games & Problem Spaces Can Integrate Core Concepts and Competencies throughout the Curriculum
Introduce science process skills early and reinforce in all courses
Learning goals focus on core concepts & assessments align with learning goals
Real world examples and relevance
Develop lifelong science learning competencies
Fewer concepts in greater depth
Stimulate curiosity about the natural world
Help scientists demonstrate passion for the discipline and delight in sharing passion with students
What do you want your learners to do?
Learn specific disciplinary content? Use interdisciplinary skills to answer their questions? Develop scientific data literacy? Engage in collaborative problem solving? Relate the disciplinary content to their own lives? Learn how to use tools such as BLAST? Navigate the online environment? Make evidence-based decisions? Develop an appreciation for scientific thinking? Discover their strengths and weaknesses as learners?
Your own objective here??
Shouldn’t all Students Understand the Evidence Behind the Headlines?
Wider Warnings after 3rd hanta virus death Corporations Slow to Act on Climate Change Earlier Mass Extinction for Most of Marine Life New York Is Lagging as Seas and Risks Rise, Critic
s Warn Ovarian Cancer Screenings Are Not Effective, Pan
el Says Literacy and the Population Problem
And Know about Big Questions that remain? http://www.sciencemag.org/site/feature/misc/web
feat/125th/
Why we care ! we have recognized the
importance quantitative biology in the undergraduate curriculum
we want to identify and share best practices and resources
we want to work together to create new materials
establish a community of educators who will continue advancing this effort for many years to come
properly done, quantitative methods must be part of the first biology courses an undergrad takes (and biological concepts in early mathematical courses,too)
To do list efforts must be scalable
and sustainable (from fiscal and human resource perspectives)
activities should count toward graduation
must included research or research-like experiences
We must make efforts to push the adoption curve forward
make our work visible to those outside this community
persuade others that our innovations work prepares students (assessment!)
give others the tools and support that will guarantee their success
Additional Challenges Increasing STEM
undergraduate degree production
Increasing participation of traditionally underrepresented groups
Involve pre-K thru 12 and community college teachers in “the revolution”
Where are we now? Where do we need to go?
General biology texts: have less than 3
equations Rarely have quantitative
data Graph complexity
primarily linear No quantitative problems
Biology education that uses calculus, discrete mathematics, & statistics
Quantitative problem solving throughout
Modeling top down, bottom up, nonlinear feedback
Deal with complexity of terabytes of data per day
John Jungck 2007 and every time I’ve seen him since 2002
Central role of problem-solving environments:
Powerful tools that develop professional skills InteractiveOpen-ended ChallengingResearch-relatedDepth of analysisEmpoweringLend themselves to collaborative learning
Goals of a Bioscience Curriculum
Students should “be conversant not only with the language of biology but also with the languages of mathematics, computation, and the physical sciences”
Bialek & Botstein 2004, Science 303:788
Institutionalizing innovations in science education requires
Support from facultySupport from administrationRecognition through competitive grant
funding and national awardsDissemination through articles, books,
workshops, and national meetings
– Joint Meeting of HHMI Program Directors and HHMI Professors, 2006
The important thing in science is not so much to obtain new facts as to discover new ways of thinking about them.
Sir William Bragg (1862 - 1942)
Go forth and create new problem spaces!
Join us for the HHMI Workshop, too!