opportunities for innovations in teaching anddeveloping transferrable skills. We leveraged these opportunities by using the principles fromthe New Age Of Innovation of Prahalad and Krishnan5.Software engineering education researchers and practitioners have made significantinnovations 6,7,4 but they do not seem to have explored the application of new age innovationprinciples 5. Of the two principles - (a) N=1 (every customer is unique with uniquerequirements) and (b) R=G (global resources can help in handling the plurality of therequirements) - we are focusing on the former, i.e. N=1, in this paper.The evolving nature of software engineering, as compared to many other engineeringdisciplines, offers some benefits in using the principle. The principle
compare and do they predict academic performance?” Educational Psychology, 20(3), 365– 380, 2000.[14] M.S. Zywno, “A contribution to validation of score meaning for Felder–Soloman’s index of learning styles.” In Proceedings of the 2003 Annual ASEE Conference. Washington, DC: ASEE, 2003.[15] E. Hames and M. Baker, M. “A study of the relationship between learning styles and cognitive abilities in engineering students.” European Journal of Engineering Education. 40, 2, 167-185, May 2015.[16] L. W. Anderson, D. R. Krathwohl, B. S. Bloom. “A taxonomy for learning, teaching, and assessing.” Longman, 2005.[17] Z. Abidin, R. Ziegler, R. Tuohi, “Learning Styles amongst Engineering Students in Malaysia, South Africa and Finland
understanding ofmechanics were very small, almost negligible (the difference between the groups’ pre-testaverage values is trivial; t = 0.58, p = 0.36). In Table 2 the normalized gains of the studentstaking each of the lab-courses are summarized (and compared with those taking other courses)and in Figure 1b the data are presented for different conceptual domains. In Table 1 somenumerical data for students achievements in the pre- and post-tests are presented.a. b.Figure 1. a) Absolute pre- and post-course FMCE-test results for students participating in theconceptual and non-conceptual lab-courses. b) Comparison of the achievements of the twogroups of students, using normalized gain.The differences in results
Ergon. 2012;43(1):184–90.6. Martin JL, Murphy E, Crowe J a, Norris BJ. Capturing user requirements in medical device development: the role of ergonomics. Physiol Meas. 2006;27(8):R49–62.7. Garmer K, Ylv J, Karlsson ICM. User participation in requirements elicitation comparing focus group interviews and usability tests for eliciting usability requirements for medical equipment : a case study. Int J Ind Ergon. 2004;33:85–98.8. Gause D, Weinberg G. Exploring Requirements: Quality BEFORE Design. New York: Dorste House; 1989.9. Nuseibeh B, Easterbrook S. Requirements Engineering: A Roadmap. In: International Conference on
; Froyd, J. E. (2013). Fidelity of Implementation of Research‐Based Instructional Strategies (RBIS) in Engineering Science Courses. Journal of Engineering Education, 102(3), 394-425.Corno, L., & Mandinach, E. B. (2004). What we have learned about student engagement in the past twenty years. Big theories revisited, 4, 299-328.Felder, R. M., & Brent, R. (2016). Teaching and learning STEM: A practical guide. John Wiley & Sons.Felder, R. M., Felder, G. N., Mauney, M., Hamrin, C. E., & Dietz, E. J. (1995). A longitudinal study of engineering student performance and retention. III. Gender differences in student performance and attitudes. Journal of Engineering Education, 84, 151-164.Fredricks, J. A
homework,” Southern Economic Journal, vol. 78, no. 4, pp. 1333–1345, April 2012.[6] J. A. Holdener and B. D. Jones, “Calculus homework: A storied approach,” PRIMUS, vol. 29, no. 1, pp. 21–42, May 2019.[7] L. Pogačnik and B. Cigić, "How To Motivate Students To Study before They Enter the Lab," Journal of Chemical Education, vol. 83, no. 7, pp. 1094–1098, July 2006.[8] M. Rollnick, S. Zwane, M. Staskun, S. Lotz and G. Green, “Improving pre-laboratory preparation of first year university chemistry students,” International Journal of Science Education, vol. 23, no.10, pp. 1053-1071, Oct. 2001.[9] G. O’Brien and M. Cameron. "Prelaboratory activities to enhance the laboratory learning experience," in Proceedings of The Australian
, T.A. Kindermann, and C.J. Furrer, “A motivational perspective on engagement and disaffection: Conceptualization and assessment of children’s behavioral and emotional participation in academic activities in the classroom,” Educational and Psychological Measurement, vol. 69, no. 3, pp. 493-525, June 2009.[13] B. Wiggins, S. Eddy, L. Wener-Fligner, K. Freisem, D. Grunspan, E. Theobald, J. Timbrook, and A. Crowe, “ASPECT: A survey to assess student perspective of engagement an active-learning classroom,” CBE Life Sci Educ, vol. 16, no. 2, June 2017. [Online]. Available: https://www.lifescied.org/toc/lse/16/2. [Accessed Apr. 27, 2019].
on Words Matrix.The way the terms load into the dimensions is used to determine what the possible dimensionsare. It is desired to apply LSA when three conditions exist: A) documents having the samewriting style, B) each document being centered on a single topic and C) a word having a highprobability of belonging to one topic but low probability of belonging to other topics 8. Onelimitation for LSA is the determination of the dimension factor being a subjective judgment.Latent Dirichlet Allocation (LDA)Latent Dirichlet Allocation (LDA) was introduced by Blei and his colleagues2 as a probabilistictopic model. The LDA algorithm differs from LSA in that it makes different assumptions onwhat is considered a document. In LDA a document consists of
,” MERLOT Journal of Online Learning and Teaching, Vol. 8, No. 1, March 2012.[3] C. J. Scott, P. A. James, Y. Astatke, “Useful Strategies for Implementing an OnlineUndergraduate Electrical Engineering Program,” ASEE Annual Conference & Exposition, June2012.[4] D. L. Millard, “Interactive learning modules for electrical engineering education,” 2000Proceedings 50th Electronic Components and Technology Conference, Las Vegas, NV, USA, May2000.[5] B. Vogel-Heuser, K. Land and F. Bi, “Challenges for Students of Mechanical EngineeringUsing UML - Typical Questions and Faults,” 2020 6th IEEE Congress on Information Scienceand Technology (CiSt), June 2021.[6] J. Huang, “Successes and Challenges: Online Teaching and Learning of Chemistry in
AC 2010-1615: UNDERSTANDING THE DIFFERENCES BETWEEN FACULTYAND ADMINISTRATOR GOALS AND STUDENTS' EXPERIENCES WITHETHICS EDUCATIONMatthew Holsapple, University of Michigan Matthew A. Holsapple is a doctoral candidate at the Center for the Study of Higher and Postsecondary Education at U-M. His research interests include the impact of educational experiences on student moral development and personal and social responsibility, professional ethics education, college student outcomes assessment, and quasi-experimental research design in higher education. He is currently a member of the American Education Research Association, Association for the Study of Higher Education, and NASPA-Student Affairs
distinct but complementary functions: (a) a contentrepository, (b) an audience response system to deliver content, and (c) learning analytics thatprovide data to instructors and researchers. It houses over 3,000 ConcepTests, which are shortquestions that can rapidly be deployed to engage students in concept-oriented thinking and/or toassess students’ conceptual knowledge, along with more extensive concept-based active learningtools and concept inventories. Screenshots of students’ views of a ConcepTest and aninstructional tool developed during this project are shown in Figures 1 and 2, respectively. TheConcept Warehouse has grown rapidly over the last five years with over 1,200 faculty accountsand 28,000 student users (Friedrichsen, Smith, and
increased.AcknowledgementThis material is based upon work supported by the National Science Foundation under Grant No. Page 25.786.13DRL-0909976. References1. Gee JP. An introduction to discourse analysis: Theory and method. UK: Routledge; 2011.2. Johri A, Olds B. Situated engineering learning: Bridging engineering education research and the learning sciences. Journal of Engineering Education. 2011;100(1):151–185.3. Du XY. Gendered practices of constructing an engineering identity in a problem-based learning environment. European Journal of Engineering Education. 2006;31(1):35–42.4. Dannels DP. Learning to be professional. Journal of Business and
validation of CFD models for aerospace applications as well as optimizing efficiency of thermal-fluid systems.Amy E Thompson, University of New Haven Amy Thompson is an Assistant Professor of System and Industrial Engineering at the University of New Haven and serves as the BS System Engineering Program Coordinator. She earned her B.S. in Industrial Engineering, M.S. in Manufacturing Engineering, and Ph.D. in Industrial and Manufacturing Engineering from the University of Rhode Island. In 2008, she was awarded Outstanding Student of the Year from the Department of Transportation’s (DOT) University Transportation Centers Program for her graduate research. She is also an inventor and was awarded a patent for an innovative
AC 2010-576: GRADUATE TEACHING ASSISTANTS’ ASSESSMENT OFSTUDENTS' PROBLEM FORMULATION WITHIN MODEL-ELICITINGACTIVITIESAmani Salim, Purdue University Amani Salim is a Post-Doctoral Researcher in the School of Engineering Education at Purdue University. She received her B.Sc. and M.Sc. in Electrical Engineering from University of Minnesota Twin Cities, and her Ph.D. in BioMEMS and Microelectronics from Weldon School of Biomedical Engineering at Purdue University. Her research focuses on problem formulation within Model-Eliciting-Activities (MEAs) with realistic engineering context.Heidi Diefes-Dux, Purdue University Heidi A. Diefes-Dux is an Associate Professor in the School of Engineering Education
10 11 A 5 4 Learning Styles: B 4 3 Moderate-Strong Kinesthetic 19 17 C 3 0 Moderate-Strong Active 20 19 D 3 2 Moderate-Strong Sensing 19 17 E 3 4 F 2 2 G 3 4 H 2 6Differences in performance (across SLO groups) on individual SLO assessment items weredetectable when the individual items were strongly consistent with the nature/activities of one orthe
is little evidence that compares service learning projects with non-servicelearning projects to test this assertion. We compared learning outcomes for (1) students engagedin service learning projects who a) completed 3 written assignments which each contained one ortwo reflective thinking questions, or b) did not have this assignment as part of their project work;(2) students engaged in service learning teams and students engaged in other types of teams; (3)service learning teams that did reflections and non-service learning teams that did reflections;and (4) students engaged in service learning teams and students engaged in other teams that didnot do reflections. The data were drawn from approximately 800 students who engaged incampus-wide
: practise as you preach. European Journal of Engineering Education 2004; 29: 465-75 10. Bary R, Rees M: Is (self-directed) learning the key skill for tomorrow's engineers? European Journal of Engineering Education 2006; 31: 73-81 11. Millis, B. J. Enhancing Learning - and More! - Through Cooperative Learning. IDEA Paper #38. IDEA Paper #38. 2002. 29-4-2010. Ref Type: Report 12. Woods DR, Felder RM, Rugarcia A, Stice JE: The future of engineering education, III. Developing critical skills. Chemical Engineering Education 2000; 34: 108-17 13. Rosca D: Multidisciplinary and active/collaborative approaches in teaching requirements engineering. European Journal of Engineering Education 2005; 30: 121-8
AC 2010-890: ENGAGEMENT IN AN UNDERGRADUATE HEAT TRANSFERCOURSE OUTSIDE OF THE CLASSROOMSarah Parikh, Stanford University Sarah E. Parikh is a fourth year graduate student at Stanford University working on her PhD in mechanical engineering with a focus on engineering education. She received a BS in mechanical engineering from the University of Texas at Austin in 2006 and received a MS in mechanical engineering with a focus on microscale heat transfer from Stanford University in 2008.Helen Chen, Stanford University Helen L. Chen is Research Scientist at the Stanford Center for Innovations in Learning and Research Associate in the Center for the Advancement of Engineering Education. Her current
asappropriate for faculty in the field. The K-12 priority was perceived to be incorporatingengineering principles in the secondary level STEM subjects.The pattern of responses aligns with the mission and goals of each division to triangulate ourfindings. Though the results are somewhat expected, direct comparison across divisions remindus that even across ASEE membership, there is broad range of definitions of engineeringeducation. For future work, authors would want to investigate (a) whether division affiliationperception of engineering education influences individual instruction practices; and (b) ways thatvarious divisions can complement each other and avoid working at cross-purposes
incorporated as a formative assessment tool for monitoring the class activities. The in-class activities were covering a wide range of problems, from easy questions to promote engagement of all students, to more difficult ones to promote further thinking about the materials covered during the class. Table 1- Demographic information of the students Distribution by major (%) Final score distribution (%) Semester CARE* MAE** NUC*** Other**** A B C D FFall 2015 8 47 8 37 27 20 30 13 10Spring 2015 11 30 4
15000 Amount/$ Amount/$ 10000 10000 5000 5000 0 0 1988 1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 1988 1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 a, with merit-based scholarships b, without merit-based scholarshipsFigure 1. Out-of-state tuition and fees, in-state tuition and fees, and grant aid per student.a
/ Henry Holt & Co.Blackwell, L.S., Trzesniewski, K.H., & Dweck, C.S. (2007). Implicit theories of intelligence predict achievement across an adolescent transition: a longitudinal study and an intervention. Child Development. 78(1): 246-263.Dinger, F. C., Dickhäuser, O., Spinath, B., & Steinmayr, R. (2013). Antecedents and consequences of students' achievement goals: A mediation analysis. Learning and Individual Differences, 28, 90-101.Dweck, C. S. (1999). Self-theories: Their role in motivation, personality, and development," Philadephia: Psychology Press.Dweck, C. S. (2008). Mindset: The New Psychology of Success. New York. Random House.Komarraju, M., & Nadler, D. (2013). Self-efficacy and academic
AC 2011-2720: AN INSTRUMENT TO ASSESS STUDENTS’ ENGINEER-ING PROBLEM SOLVING ABILITY IN COOPERATIVE PROBLEM-BASEDLEARNING (CPBL)Syed Ahmad Helmi Syed Hassan, Universiti Teknologi Malaysia Syed Helmi is an academic staff in the Faculty of Mechanical Engineering and is currently a Ph.D. in Engineering Education candidate in Universiti Teknologi Malaysia.Khairiyah Mohd-Yusof, Universiti Teknologi Malaysia Khairiyah is an associate professor in the Department of Chemical Engineering, Universiti Teknologi Malaysia. She is presently the Deputy Director at the Centre for Teaching and Learning in UTM. Her main research areas are Process Modeling, Simulation and Control, and Engineering Education. She has been implementing
Water Supply Analysis, Design and Analysis of Sprinkler Systems, Advanced Building Design and Analysis, and Senior Design. Her research interests include fire protection systems, codes and standards, as well as educational effec- tiveness and women in STEM. She serves as the advisor to the OSU SFPE Student Chapter and is an active member in the Oklahoma Chapter of SFPE. She is a licensed Fire Protection Engineer in Nevada, California and Oklahoma. Prior to returning to OSU, Dr. Charter was a Senior Consultant for the Las Vegas office of Rolf Jensen & Associates, Inc. Dr. Charter has been heavily involved in large mixed-use properties egress design. She has developed performance specifications and conceptual
Management, 30(3), 255-262.James R., MacArthur and Loretta L. Jones (2008). A review of literature reports of clickers applicable to college chemistry classrooms, Chem. Educ. Res. Pract., 9, 187-195Kettle, S. F. A.(2001).Structure in inorganic chemistry. Chem. Educ. Res. Pract. 2(2), 105-107.Kim B., Saalman E., Christie M., Ingerman A. & Linder C. (2008). SimChemistry as an active learning tool in chemistry education, Chem. Educ. Res. Pract., 9, 277-284.Liu, K. T. (2006). Teaching sustainable (green) chemistry at university level, Chemistry (The Chinese Chem. Soc., Taipei), 64(1), 141-145.Mahaffy, P.(2004). The future shape of chemistry education, Chem. Educ. Res. Pract., 5(3), 229-245. Toomey, R. and Garafalo, F.(2003). Linking physics
Paper ID #34784Work in Progress: Barriers Instructors Encounter when Using ActiveLearning in an Online Classroom SettingMs. Lea K. Marlor, University of Michigan Lea Marlor is a Ph.D. student at the University of Michigan, studying Engineering Education Research. She joined the University of Michigan in Sept 2019. Previously, she was the Associate Director for Education for the Center for Energy Efficient Electronics Science, a NSF-funded Science and Technology Center at the University of California, Berkeley. She managed undergraduate research programs to recruit and retain underrepresented students in science and
, April 4-5, 2014, Oakland University, USA[3] Sadi, O. & Uyar, M. (2013). The relationship between cognitive self-regulated learning strategies and biology achievement: A path model. Procedia-Social and Behavioral Sciences; 93 (2013), 847-852[4] Pintrich, P. R., Smith, D. A., Garcia, T., & McKeachie, W. J (1993). Reliability and predictive validity of the Page 26.1172.12 motivated strategies for learning questionnaire. Educational and Psychology Measurement; 53(1993), 801- 813.[5] Zajacova, B. (2013). Learning styles in physics education: introduction of our research tools and design
]. Available: https://depart.moe.edu.tw/ed4500/News.aspx?n=B31EC9E6E57BFA50&sms=0D85280 A66963793. [Accessed January 24, 2021].[4] R. Wollast, G. Boudrenghien, N. van der Linden, B. Galand, N. Roland, C. Devos, M. de Clercq, O. Klein, A. Azzi, and M. Frenay, “Who are the doctoral students who drop out? factors associated with the rate of doctoral degree completion in universities,” International Journal of Higher Education, vol.7, no.4, pp. 145-156, August 2018.[5] MOE Department of Statistics, “大專校院學生休、退學概況及就學穩定情形 [Summary of undergraduate and graduate students dropout and retention],” Highlights of Education Statistics, vol. 124, May 2020. [Online]. Available: https://depart.moe.edu.tw/ed4500/News.aspx?n
Paper ID #15762What Do You Want to Do with Your Life? Insights into how Engineering Stu-dents Think about their Future Career PlansMichelle Marie Grau, Stanford University Michelle Grau is a K-12 Design Thinking, Engineering, and Robotics teacher at The Nueva School, where she primarily teaches in the middle school and coaches robotics teams (FIRST Lego League and FIRST Robotics Competition). She started research in engineering education as an undergraduate mechanical engineering student at Stanford in Dr. Sheri Sheppard’s Designing Education Lab in 2011, where she continues that work today.Dr. Shannon Katherine Gilmartin
AC 2010-823: USING THE EMERGENT METHODOLOGY OF DOMAINANALYSIS TO ANSWER COMPLEX RESEARCH QUESTIONSLindsey Nelson, Purdue University Lindsey Nelson is a graduate student in Engineering Education. She graduated from Boston University with her bachelor's degree in Mechanical Engineering. In trying to gain knowledge about teaching and learning within an engineering context, Lindsey pursued some graduate study in mechanical engineering and shifted to teaching high school physics. As an active member of the American Association of Physics Teachers, she developed an interest in curricular innovations. Combining her interest in curricular innovations with a passion for social justice, Lindsey