The document discusses the development of an interdisciplinary undergraduate program in mathematical biology at Truman State University. It describes how the program grew out of undergraduate research projects involving both mathematics and biology faculty mentoring students from different disciplines. The program now includes an interdisciplinary minor that requires hands-on research experience and competencies in areas like modeling, computation, and statistics. The speaker advocates for more programs training "convergent" scientists who can work across disciplinary boundaries.
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Pedagogies as technologies, soft and hard technologies, benefits of soft technologies for learning (spoiler - the elephant is the teacher, not the technical process of teaching)
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Training Undergraduates in Mathematical Biology using Research with FacultyJason Miller
Truman State University has Missouri's only undergraduate program in mathematical biology. We prepare undergraduate to work at the intersection of the life and mathematical sciences through coursework and through an innovative, team-based research program.
NTLT 2012 - Pecha Kucha 2, Alison Campbell - Turning a lecture on its head: F...NTLT Conference
The document discusses "flipping" university lectures by assigning readings and videos for homework and using class time for active learning exercises. It provides examples from studies that found flipping improved attendance, engagement, and exam scores in physics and biology courses. Specifically, one study found non-Caucasian students benefited disproportionately from a highly structured approach using pre-class quizzes, group work, and practice tests. The document also shares student feedback on "design-a-plant" and "design-an-animal" in-class activities, finding they enhanced understanding of concepts through application. It advocates for flipping if done with careful planning, explanation of goals, and appropriate assessment.
Revealing the elephant in the online classroomjondron
Pedagogies as technologies, soft and hard technologies, benefits of soft technologies for learning (spoiler - the elephant is the teacher, not the technical process of teaching)
Practical Teaching Experience Project Power Pointjsykes3
This document outlines a lesson plan for a project on real-time earthquake tracking for high school students. The objectives are for students to work collaboratively using the internet to examine plate tectonic theory, discuss connections between plate boundaries and earthquake locations, track recent earthquakes over two weeks using USGS data, and present their findings. The teacher would introduce background on accessing real-time data online and outline the project for students. Students would be assigned to groups to develop and test a hypothesis about earthquakes and plate tectonics, record and analyze earthquake data, and present their conclusions in a letter to the President.
This document describes a teacher's experimentation with the Case Forest pedagogical method with their third grade class. The process began with (1) discussing a forest phenomenon by analyzing photographs, which led the class to choose the driving question "Why do leaves change color?". Next, the students (2) designed learning objects by suggesting collecting and photographing autumn leaves, and classifying them. The teacher found that the students were enthusiastic about the activity-based and student-oriented method.
In this presentation you will see examples of how Early Adopter Lecturers at Monash University are using Moodle 2.0 for blended learning and student collaboration. Examples will include the use of the lesson module to guide a virtual conversation, how the workshop is being used for peer feedback, and the use of video and web2.0 within Moodle.
Training Undergraduates in Mathematical Biology using Research with FacultyJason Miller
Truman State University has Missouri's only undergraduate program in mathematical biology. We prepare undergraduate to work at the intersection of the life and mathematical sciences through coursework and through an innovative, team-based research program.
This document discusses problem-based learning and how to implement it in the classroom. It provides guidance on engaging students with an authentic problem, establishing stakeholder roles, ensuring the problem is connected to curriculum standards, gathering and assessing information, and having students work collaboratively to develop and present solutions. Key aspects include using an information problem-solving process, creating assessments such as rubrics, and displaying student work on "classroom walls" to demonstrate their learning. The overall goal is to design engaging, real-world learning experiences for students through problem-based instruction.
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1) The study aimed to reduce statistics anxiety in undergraduate business students through instructor immediacy behaviors, peer instruction, and student tutors.
2) Students completed a statistical anxiety survey at the start and end of the course. The course design incorporated student tutors, peer instruction, and reading about the real-world applications of statistics.
3) It was hoped this approach would address anxiety related to testing, help-seeking, and the perceived worth and difficulty of statistics.
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2) Defining genericity as a property holding for a residual set of functions.
3) Defining transversality and Thom's transversality theorem.
4) How the structure theorem is established by using structure mappings, collecting submanifolds of jet space, and applying Thom's theorem.
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Truman State University has developed a mechanism for effective training undergraduates to work at the intersection of the life and mathematical sciences, and it uses the pedagogy of undergraduate research. This 'machine' can be appropriated for other interdisciplinary pairings our groupings. Slides are for a talk given for the Missouri State University's Chemistry Seminar on 17 October 2012.
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Since 2004, Truman State University has trained students to conduct interdisciplinary research in mathematical biology through a combination of research experiences with faculty collaborators, courses, and field trips. This program of experiences for undergraduates has been made possible by the National Science Foundation’s Interdisciplinary Training for Undergraduates in Biology and Mathematics (UBM) program. This talk will outline our courses and our research program (including a portfolio-based interdisciplinary minor in mathematical biology), what we have learned about assessing interdisciplinary learning, and the role field trips have played in the professional development of faculty and students.
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Interdisciplinary Training in Mathematical Biology Through Team-based Undergraduate Research and Courses
1. Interdisciplinary Training in
Mathematical Biology Through
Team-based Undergraduate
Research and Courses
Jason Miller, Ph.D.
Department of Mathematics
JMM New Orleans
9 January 2011
Sunday, January 9, 2011 1
2. Outline
• A couple questions
• ‘Convergence’
• Truman’s program, my mantra
• A Look at a Bigger Picture
JMM New Orleans
9 January 2011
Sunday, January 9, 2011 2
3. Undergraduate
Mathematical Biology
• Is there a need for undergraduate degree programs
in mathematical biology?
• What would an undergraduate curriculum in
mathematical biology look like?
• Where would a mathematical biology program live?
In a math department? A biology department?
Separate from both?
JMM New Orleans
9 January 2011
Sunday, January 9, 2011 3
9. ‘Convergent’ teamwork is going to be a defining
characteristic of 21st century science and
mathematics.
It can’t be taught through a series of lectures.
It can’t be taught from a textbook or by reading a
journal paper.
It can’t be taught in a course for a (single) major.
The above activities can motivate students and
prepare them to learn to be ‘convergent’
JMM New Orleans
9 January 2011
Sunday, January 9, 2011 9
10. It can be taught...
• Our experience provides strong evidence that
proper hands-on undergraduate research (or
research-like) projects can train undergraduates to
be ‘convergent’
• Essential characteristics:
• it’s a real research project to the mentors
• mentors from different disciplines
• undergraduates from different disciplines
• long-term immersion
• students have sense of significant ownership
JMM New Orleans
9 January 2011
Sunday, January 9, 2011 10
11. At Truman...
• We’ve been building and revising an interdisciplinary
training program in mathematics and biology
• Bridging the epistemological gap between
mathematics and biology.
• NSF funded: UBM program (Interdisciplinary Training
for Undergraduates in Biology and Mathematics) in
2003, 2004, and 2009
These allowed us to make mistakes
so that others wouldn’t have to.
JMM New Orleans
9 January 2011
Sunday, January 9, 2011 11
12. Truman’s Program
“We are not trying to turn mathematics
majors into biology majors, not are we trying
to turn biology majors into mathematics
majors. Rather, we are trying to bring both
together at the intersection of the life and
mathematical sciences to train them to work
across disciplinary boundaries.”
JMM New Orleans
9 January 2011
Sunday, January 9, 2011 12
13. Why, then?
• Pre-Bio2010 selfishness!
• We had math faculty who wanted to re-engage in
research, learn about mentoring undergraduates;
open-minded biologists
• Students (in CS) were ahead of us, learning
bioinformatics
• Had some limited internal support:
• Truman had a culture (outside the math
department) that valued undergraduate research
• Summer research grants for students JMM New Orleans
9 January 2011
Sunday, January 9, 2011 13
14. Truman’s Program
• Our ‘program’ grew out of our undergraduate
research program, conversations with others in our
community
• HHMI, SMB, MAA BIOSIGMAA, BioQUEST, MAA
PREP, NIMBioS, MBI, NSF UBM PI meetings, CUR,
NCUR
• We have an interdisciplinary minor in mathematical
biology
• The minor requires a high-quality, interdisciplinary
research experience (on- or off-campus)
JMM New Orleans
9 January 2011
Sunday, January 9, 2011 14
15. Why, now?
• Having been institutionalized (curriculum), we have
internal and external pressures to continue to succeed
• Truman still values undergraduate research (even in the
mathematics department)
• Faculty are getting results (publications, grants)
• Contributing to national need for ‘convergent’ or
interdisciplinary scientists and mathematicians
• Desire to broaden participation in science and
mathematics undergraduate degree programs
JMM New Orleans
9 January 2011
Sunday, January 9, 2011 15
16. Looking back...
• The scope of what we have now would not
be possible without the UBM grants
• The essence of what we are doing could
continue without external funding *but not
without internal funding)
• What we are doing, others can do.
JMM New Orleans
9 January 2011
Sunday, January 9, 2011 16
17. There’s no STEM
without an M
• Last week, the House and Senate reauthorized the
America COMPETES act
• The America COMPETES Act is a response to ‘Rising
Above the Gathering Storm’ report
• The ‘Rising Above the Gathering Storm’ report
communicates the reasons America needs to
increase its production of STEM professionals
• As a result, we have many ‘STEM Talent Expansion’
programs fromt he NIH, NSF, etc.
JMM New Orleans
9 January 2011
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18. There’s no STEM
without an M
• Preparing ‘convergent’ scientists is an aspect of this
(scientists for the 21st century)
• This can’t happen without involvement from the
mathematics community.
• What our small community is learning about how to
collaborate with biologists can be (and should be)
applied to working with other disciplines and multi-
disciplinary teams.
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19. Minor’s Outcomes
• Data Acquisition
• Modeling
• Computation
• Statistics
• Research
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20. Requirements
• Demonstrate proficiencies in each category
(though research, courses)
• Earn 15+ credits doing so (must take Intro to
MathBio course)
• Attend MathBio Seminar
• Participate in two half-semester program
workshops/seminars
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21. http://mathbio.truman.edu
This material is based upon work supported by the National Science Foundation under NSF
UBM #0337769, #0436348, and #0926737. Any opinions, findings, and conclusions or
recommendations expressed in this material are those of the author(s) and do not necessarily
reflect the views of the National Science Foundation.
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