Infusing quantitative approaches throughout the biological sciences curriculum

A major curriculum redesign effort at the University of Maryland is infusing all levels of our undergraduate biological sciences curriculum with increased emphasis on interdisciplinary connections and quantitative approaches. The curriculum development efforts have largely been guided by recommendations in the National Research Council's Bio 2010 report and have resulted in revisions to courses in biology, mathematics, and physics over a period of 10 years. Important components of this effort included (1) developing online modules to infuse more mathematical content into six biology courses taken by biological sciences majors during their first 2 years of study; (2) strengthening the interdisciplinary connections of ancillary courses in mathematics and physics to support the development of quantitative skills in biological contexts; and (3) creating more quantitatively intensive courses for the final 2 years of the bachelors of science programme. These efforts, carried out by a large, multidisciplinary team of faculty, have resulted in increased coherence in the undergraduate biological sciences curriculum, increased quantitative skills in first- and second-year students, and a greater appreciation among graduates for the essential relationship between mathematics and modern biology.

[1]  D. Allen,et al.  Approaches to cell biology teaching: a primer on standards. , 2002, Cell biology education.

[2]  Chandra Turpen,et al.  A Framework for Analyzing Interdisciplinary Tasks: Implications for Student Learning and Curricular Design , 2013, CBE life sciences education.

[3]  Miroslav Lovric,et al.  Transition from secondary to tertiary mathematics: McMaster University experience , 2005 .

[4]  Steve Olson,et al.  Engage to Excel: Producing One Million Additional College Graduates with Degrees in Science, Technology, Engineering, and Mathematics. Report to the President. , 2012 .

[5]  Harold B. White,et al.  A Transformative Model for Undergraduate Quantitative Biology Education , 2010, CBE life sciences education.

[6]  Katerina V. Thompson,et al.  STRATEGIES FOR INCREASING MINORITIES IN THE SCIENCES: A UNIVERSITY OF MARYLAND, COLLEGE PARK, MODEL , 2003 .

[7]  James S. Braswell,et al.  The Nation's Report Card: Mathematics, 2000. , 2001 .

[8]  Kelly E. Matthews,et al.  Using the Principles of BIO2010 to Develop an Introductory, Interdisciplinary Course for Biology Students , 2010, CBE life sciences education.

[9]  Ryan D. Sweeder,et al.  Analysis of Student Performance in Large-Enrollment Life Science Courses , 2012, CBE life sciences education.

[10]  Gregory A. Moyerbrailean,et al.  1, 2, 3, 4: Infusing Quantitative Literacy into Introductory Biology , 2010, CBE life sciences education.

[11]  E. Redish,et al.  Reinventing college physics for biologists: Explicating an epistemological curriculum , 2008, 0807.4436.

[12]  Frederick R. Adler,et al.  Modeling the Dynamics of Life: Calculus and Probability for Life Scientists , 1998 .

[13]  Gili Marbach-Ad,et al.  Online Interactive Teaching Modules Enhance Quantitative Proficiency of Introductory Biology Students , 2010, CBE life sciences education.

[14]  Claudia Neuhauser,et al.  Calculus for biology and medicine , 2000 .

[15]  A. Singh Challenges " # , 2006 .

[16]  Celia Hoyles,et al.  Changing patterns of transition from school to university mathematics , 2001 .

[17]  Joseph C. Watkins On a Calculus-based Statistics Course for Life Science Students , 2010, CBE life sciences education.

[18]  Edith Seier,et al.  SYMBIOSIS: Development, Implementation, and Assessment of a Model Curriculum across Biology and Mathematics at the Introductory Level , 2010, CBE life sciences education.

[19]  Division on Earth BIO2010: Transforming Undergraduate Education for Future Research Biologists , 2003 .

[20]  Ansie Harding,et al.  The impact of the transition to outcomes-based teaching on university preparedness in mathematics in South Africa , 2008 .

[21]  James S. Braswell,et al.  The Nation's Report Card: Mathematics, 2000. , 2001 .

[22]  A. James 2010 , 2011, Philo of Alexandria: an Annotated Bibliography 2007-2016.

[23]  E. Redish,et al.  Learning Each Other's Ropes: Negotiating Interdisciplinary Authenticity , 2012, CBE life sciences education.

[24]  V. Sawtelle,et al.  Students' interdisciplinary reasoning about "high-energy bonds" and ATP , 2012, 1209.0994.

[25]  Heidi M. Anderson,et al.  SPECIAL ARTICLES Student Learning Outcomes Assessment: A Component of Program Assessment , 2005 .

[26]  Roel Bosker,et al.  Sustainability of teacher expectation bias effects on long-term student performance. , 2010 .

[27]  Jessica Watkins,et al.  Disciplinary Authenticity: Enriching the Reforms of Introductory Physics Courses for Life-Science Students. , 2011, 1109.4983.

[28]  W. D. Cairns,et al.  THE MATHEMATICAL ASSOCIATION OF AMERICA. , 1918, Science.

[29]  M. Palmer,et al.  A Bright Future for Biologists and Mathematicians? , 2003, Science.

[30]  Chris Arney Math & Bio 2010: Linking Undergraduate Disciplines , 2009 .

[31]  L. Gross Quantitative Training for Life-Science Students. , 1994 .

[32]  Alan Hastings,et al.  Mathematics and biology. A bright future for biologists and mathematicians? , 2003, Science.

[33]  Edward F. Redish,et al.  Examining the Impact of Student Expectations on Undergraduate Biology Education Reform , 2011, 1105.6349.

[34]  Dwight Duffus,et al.  Introductory Life Science Mathematics and Quantitative Neuroscience Courses , 2010, CBE life sciences education.

[35]  V. Sawtelle,et al.  Students' reasoning about "high-energy bonds" and ATP: A vision of interdisciplinary education , 2014 .

[36]  Ovidiu Lipan,et al.  Impact of Interdisciplinary Undergraduate Research in Mathematics and Biology on the Development of a New Course Integrating Five STEM Disciplines , 2010, CBE life sciences education.