Seattle, Washington
June 14, 2015
June 14, 2015
June 17, 2015
978-0-692-50180-1
2153-5965
First-Year Programs
16
26.1784.1 - 26.1784.16
10.18260/p.23348
https://peer.asee.org/23348
549
Carmela Amato-Wierda is Associate Professor of Materials Science at the University of New Hampshire. She shifted her research focus several years ago to the area of cognitive development of STEM concepts and practices in grades K-16. She has held NSF funded curriculum projects in General Chemistry and Materials Science, and has recently developed two science courses for non-scientists, titled: The Science of Stuff and Nanoscience and Energy. She has taught chemistry courses ranging from Introductory General Chemistry to Advanced Thermodynamics of Materials for graduate students. She has also frequently taught in K-8 classrooms as a guest scientist. She is advisor to the UNH Chapter of the National Society of Black Engineers. She is also the Director the UNH Tech Camp, a summer STEM camp for grades 5-10. Her previous research in materials science focused on the mechanisms of gas phase reactions that make thin films and nanotubes.
Her research in the cognitive development of science learning requires collaborations with faculty in psychology, psychometrics, big data statistics, education, as well as teachers from K-13. Since a sabbatical period in the laboratory of Dr. Kurt Fischer at the Harvard Graduate School of Education, she has spent the past several years developing a common language in order to bridge and translate the findings of developmental science to first year college engineering and science education.
Associate Professor of Civil Engineering
University of Pennsylvania - BSCE 1973, PhD 1981
Areas of interest: structural analysis, engineering educational software, engineering education, using Minecraft to teach engineering ideas to middle school children
2001 - present: Professor of Statistics, Dept. of Mathematics & Statistics. UNH.
1994 - 2001 Associate Prof. of Statistics, Dept. of Math. & Statistics, UNH.
1987 - 1994 Assistant Prof of Statistics. Dept. of Math. & Statistics, UNH.
1987 Ph.D. Dept. of Statistics, Penn State University.
Dissertation: Bootstrapping the functional errors in variables model.
1980 - 1987 Teaching Assistant, Dept. of Statistics, Penn State U.
1979 - 1980 M.S. in Mathematics, Union College, Schenectady
1973 - 1978 Undergraduate Studies in Mathematics, ETH, Zurich, Switzerland.
“It’s Too Hard,” to “I Get It!” – Engaging Developmental Science as a Tool to Transform First Year Engineering Education According to a 2012 article in The Chronicle of Higher Education, “60% of students whoenter college with the goal of majoring in a STEM subject end up graduating in a non-STEMfield”. 1 This exodus from STEM majors is a long-standing problem. For several decades students have been saying that they feel that getting a STEM degree is too “hard”. Engineering student indicate that they are working constantly and yet still struggle to understand the STEM concepts. The decision by many students to leave STEM majors is having a negative impact on the ability of higher education to meet industries’ demand for more STEM graduates. In order to address the first year exodus from STEM majors in college, higher education must shift its attention to providing educational mechanisms that focus on developing a student’s understanding. By understanding we mean a deep-‐seated knowledge that has become deep-‐rooted in a student’s way of thinking and that they can comfortably use when solving problems. The focus of our paper is to provide a new set of fundamental ideas from which one can re-‐direct the conversation about the educational needs of first year STEM students. We are proposing a bold new direction that embraces a rich empirical theory from the field of cognitive development called, dynamic skill theory2,3. This theory has constructed in detail the characteristics of a person’s thinking and ideas as they develop their understanding of a concept over time. When looking at this sequence of characteristics, one notices that it follows a temporal pattern over the time span that a person spends on task related to a particular concept. The temporal aspects of this developmental pattern are consistent with data regarding the temporal aspects of brain growth. One can think of this pattern, seen in the development of understanding, as being similar to the pattern seen in motor development as a baby learns to walk starting from a lying down position, moving to a sitting position, then to crawling, and finally to walking.. It would be considered quite unusual to see a baby go from sitting to walking without practicing these intermediate steps or milestones. For example, one can apply the same process to a student trying to use mathematical integration in an engineering design problem. In order to understand integration a student needs to understand the concepts of numbers, variables, algebra and functions. Without developing a solid foundation in each of these areas, it would be highly unlikely that a student could understand and use the concept of integration in performing a cut and fill design problem. However, a student that does not have an understanding of integration could complete a cut and fill design problem using the concepts of graphing, estimation and area. Therefore, the instructor must have an understanding of a student’s level of mathematical development, in order to teach this design problem to a student Dynamic skill theory will help address the STEM pipeline issue by: • Allowing one to determine where a student is on the developmental trajectory toward understanding a topic • Identifying how one might design instructional material to facilitate a student’s bridging from one milestone to another • Understanding that learning a skill progresses faster and in a more robust manner when the instructional material is aligned with the student’s position on the developmental trajectory for a concept or skill This paper takes the first step toward translating this cognitive developmental approach to STEM education by: • analyzing a typical physics problem in the first year engineering curriculum by “reverse engineering” the problem into its key concepts in terms of the basic constructs of dynamic skill theory, • reformulating the problem according to the constructs of dynamic skill theory for a student at the representational and abstract levels of development, • showing the typical level of developmental understanding shown by a cohort of students enrolled at a medium-‐sized public university in the Northeast, • Performing a hierarchical cluster analysis of students’ responses to open-‐ended questions related to kinetic potential energy to determine the developmental status of their understanding of this topic. From the data that we have analyzed, it is our hypothesis that the hardness claimed by the students is explained by a misalignment between the developmental level of understanding of STEM concepts required by first-‐year coursework versus the developmental understanding of first-‐year engineering and science students for these concepts. The paper will present the first year engineering educational community with the introduction of an approach to address this developmental misalignment, and thus advance a student’s understanding of key STEM concepts. Our objective is to transform the current status quo in first year engineering education where students say, “It’s too hard,” to where they say, “I get it.” 1. Gates, J., S. James; & Mirkin, C., Encouraging STEM Students is in the National Interest. TheChronicle of Higher Education June 25, 2012, 2012.2. Fischer, K. W., A theory of cognitive development: The control and construction ofhierarchies of skills. Psychological Review 1980, 87, 477-531.3. Fischer, K. W. Bidell, T.R., Dynamic Development of action and thought. In Handbook ofChild Psychology: Theoretical Models of Human Development, Damon, W. L., R.M., Ed. Wiley:New York, 2006; Vol. 1, pp 313-399;
Amato-Wierda, C. C., & Henry, R. M., & Linder, E. (2015, June), “It’s Too Hard” to “I Get It!” – Engaging Developmental Science as a Tool to Transform First-year Engineering Education Paper presented at 2015 ASEE Annual Conference & Exposition, Seattle, Washington. 10.18260/p.23348
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