and foundation for future engineeringcourses. The importance of succeeding in first year calculus among freshman engineeringstudents has been emphasized in several studies. 5, 6, 7, 8, 9BackgroundCalculus is a core required course for all incoming engineering freshman students at a largeMidwestern university. The students enroll in calculus in their first semester of their freshmanyear. This course is taught by the Mathematics department faculty. The course is a four-hour-credit class. In order to proceed in the engineering program, freshman engineering students mustobtain an “A”, “B”, or “C” grade in the first calculus course. The College of Engineering Architecture and Technology at this university had observed thatthe number of freshman
participation in engineering education. He is a Research Scientist and Lecturer in the School of Engineering at Stanford University and teaches the course ME310x Product Management and ME305 Statistics for Design Researchers. Mark has extensive background in consumer products management, having managed more than 50 con- sumer driven businesses over a 25-year career with The Procter & Gamble Company. In 2005, he joined Intuit, Inc. as Senior Vice President and Chief Marketing Officer and initiated a number of consumer package goods marketing best practices, introduced the use of competitive response modeling and ”on- the-fly” A|B testing program to qualify software improvements. Mark is the Co-Founder and Managing
experiences of the author, some characteristics that can promote a topic’sutilization in the EFFECTs methodology include: (a) a basic familiarity of the topic by students,(b) topics and concepts for which hands-on learning activities can be developed, (c) the existenceof fundamental principles, equations, or laws that can be taught to students such that they canapply this information to refine their estimate of the answer to the driving question, and (d) atopic that is somehow interesting, immediate, or relevant to students such that it will capturetheir attention and enthusiasm. In this regard, Solar Power was selected for the development ofthe materials, resources, and activities that support the EFFECTs methodology. The handoutssupplied to
Engineering Education Annual Conference, Indianapolis, IN, 2014.[3] A. M. Ogilvie and D. B. Knight, “Engineering transfer students’ reasons for starting at another institution and variation across subpopulations,” Journal of Hispanic Higher Education, vol. 19, no. 1, pp. 69–83, 2020.[4] B. K. Townsend, “"Feeling like a freshman again: the transfer student transition,” New Directions for Higher Education, vol. 144, pp. 69–77, 2008.[5] R. V. Adams and E. Blair, “Impact of time management behaviors on undergraduate enginering students’ performance,” SAGE Open, no. January-March 2019, pp. 1–11, 2019.[6] W. E. Kelly, “Harnessing the river of time: a theoretical framework of time use efficiency with suggestions for counselors,” Journal of
own writing.4. Student Learning Outcomes AssessmentThe following learning outcomes have been established to assess student performance in theSummer Engineering Experience program. These student outcomes are as follows: (a) Students will demonstrate an ability to identify, formulate, and solve engineering problems by applying principles of engineering, science, and mathematics. (b) Students will demonstrate an ability to design and apply creativity in the design of engineering systems, components and process; (c) Students will demonstrate an ability to function effectively on teams that establish goals, plan tasks, meet deadlines, and analyze risk and uncertainty; (d) Students will demonstrate an ability to
Directorate from West Point he has continued his research on unmanned systems under ARL’s Campaign for Maneuver as the Associate Director of Special Programs. Throughout his career he has continued to teach at a variety of colleges and universities. For the last 4 years he has been a part time instructor and collaborator with researchers at the University of Maryland Baltimore County (http://me.umbc.edu/directory/). He is currently an Assistant Professor at York College PA.Prof. Inci Ruzybayev, York College of Pennsylvania Inci Ruzybayev is Assistant Professor in Engineering Physics at the York College of Pennsylvania. She received her Ph. D. in Physics from University of Delaware and her M. S. and B. S. in Physics Education
). Methods and Experimental Design Based on the lack of gains in problem formulation knowledge in first-‐year engineering design courses, two interventions for introductory engineering classes at the University of Virginia were implemented to help students better learn the role of problem formulation activities. Two interventions for the introduction to engineering course at the University of Virginia were introduced in 2009. They were focused on addressing the lack of learning about problem formulation, one through a) exposing students to the their prior knowledge and tacit views about design and the other through b) shifting the motivation away
points in many areas). There was virtually no impact on students’ perceptions aboutengineering as an a) exciting profession, b) challenging profession, c) profession that contributesto society, or d) profession in which people design products.In 2007, a new task force was convened to redesign the course. At the time 20% to 50% of ourengineering freshmen (depending on gender and ethnicity) were not persisting in engineeringinto the sophomore year. Furthermore, the course was not filling its intended purpose, as 30% ofthe students in the class were students who had waited until their junior or senior year to take it.A multi-disciplinary team of faculty designed a series of projects that engage students in multiplesteps of the design cycle
1 performance and enjoyed the lab activity, this is mainly 5 due to the guidance or help provided by the teaching assistants. Although the lab objectives were 6 met, the students lose the opportunity of being involved in collaborative exercises and may start 7 to develop negative feeling about collaborative teamwork. (a) Feedback of in-person students working in Lab 1 (b) Feedback of in-person students working in Lab 3 Figure 9. Direct comparison between in-person feedback of Lab 1 and Lab 3. 8 As for the remote students, none of them strongly felt distant from team members or cannot trust 9 the team members (Figure 10) in Lab 3. Also, more remote students were willing to interact with10 the team members in
) Collect data from aerator in IDEAS 4) Design a floor plan for the aquaculture facility Center 5) Design a new impeller for the chosen pump5) Use a spreadsheet to calculate: using UGNX a. Total amount of oxygen transferred 6) Test the pump performance with the new from air to water impeller in the IDEAS Center b. Amount of electricity required to 7) Develop MATLAB math model to determine: run aerator a. Fish growth c. Costs associated with aerator use b. Feed conversion d. Statistics of class performance c. Amount of electricity required to run pumps data d
. Stylus Publishing, LLC., 2017.[7] W. C. Newstetter, “Of Green Monkeys and Failed Affordances: A Case Study of a Mechanical Engineering Design Course,” Res. Eng. Des., vol. 10, no. 2, pp. 118–128, 1998.[8] D. Armel and S. A. Shrock, “The Effects of Required and Optional Computer-Based Note Taking on Achievement and Instructional Completion Time,” J. Educ. Comput. Res., 1996.[9] S. A. Lei, “Revisiting Extra Credit Assignments Perspectives of College Instructors,” J. Instr. Psychol., 2010.[10] T. Park, C. S. Woods, S. Hu, T. B. Jones, and D. Tandberg, “What Happens to Underprepared First-Time-in-College Students When Developmental Education is Optional? The Case of Developmental Math and Intermediate
performance. Of the students who took math courses outside of engineering, 64%earned less than a B- and 33% received Ds or Fs in calculus I. In response to this failure at theimportant mathematics juncture to success in engineering, a new pre-calculus for engineerscourse was developed in collaboration with the Applied Math Program to prepare students with adeeper understanding of mathematical concepts beyond what they previously received andprepare them for calculus success. A pilot class of 16 took the course in spring 2012, of whichmany moved on to calculus I in fall 2012 (pilot 1). A description and modifications to the pre-calculus for engineers course are presented in the paper, including the adoption of the ALEKSLearning System to assess and
in the next year.References[1] P. Dickrell and L. Virguez, Engineering Design & Society: A First-Year Student-CenteredCourse Teaching Human-Centered Design, WEEF-GEDC World Engineering Education Forum– Global Engineering Deans Council, Conference of Peace Engineering, November 12-16, 2018,New Mexico, USA[2] C. B. Zoltowski,, W. C. Oakes, and M. E. Cardella,, “Students' ways of experiencing human-centered design” in Journal of Engineering Education, 101(1), 2012, pp.28-59.[3] Martin, Lee (2015) "The Promise of the Maker Movement for Education," Journal of Pre-College Engineering Education Research (J-PEER): Vol. 5: Iss. 1, Article 4.[4] Knight, D. W., Carlson, L. E., & Sullivan, J. (2007, June). Improving engineering studentretention
metacognition and its implications for learning. Much of this research focuses on learning processes in classroom settings. Dr. Menekse is the recipient of the 2014 William Elgin Wickenden Award by the American Society for Engineering Education.Miss Damji Heo, Purdue University, West Lafayette Damji Heo received B. A. degrees in Educational Technology and Psychology from Ewha Womans Uni- versity in 2012 and M. Ed. degree in Educational Psychology from the University of Texas at Austin in 2014 respectively. Currently, she is doing her Ph. D. in Learning, Design, and Technology program at Purdue University since 2015 and a graduate research assistant in School of Engineering Education at the same university. Her main areas
-targetedgroup of students. However, the numbers of minority students are low and retention rates havea high variance. a) b)Figure 2. Overall Retention to Engineering Department by gender. N represents the total number of engineeringstudents per group. The large arrows indicate when new freshman introductory engineering courses began, andwhen an introductory engineering course became a requirement. The dotted lines represent a three year rollingaverage. a) This graph illustrates the overall average retention rate (percent retained) of all male (red line) vs.female (blue line) engineering freshman since 1985. b) This graph illustrates the overall average retention rate(percent retained) of all targeted minority (blue line) vs. non-targeted (red line
down.Figures 3 (a) and (b) are two hand-sketches of the “Smart Timer”. Figure 3 (a) is the first designhand-sketch which is a rectangular timer that has a sliding bar. The motor in this design comeson top and sweeps the bar left and right. After discussing the design features (rectangular blockand sliding bar), students realized that a circular frame with a clock hand will make their designeasier to implement. Figure 3 (b) shows the hand-sketched new design.A servo motor was used to set the clock hand’s position (1 or 2 minutes) and counted down whencommanded with Alexa. Both positioning and counting down codes were uploaded to theArduino UNO – the main control unit. Additionally, NodeMCU was used to wirelessly sendcommands from the smartphone to
clearly indicate a higher success rate in Calculus I for thosestudents who switched to Math 110 and then took Calculus I in the following term. Inparticular, of the 32 students who remained in Calculus I, only 7 (22%) achieved B- orbetter (a critical indicator for success in engineering). Of the 21 who switched to Math110 and then followed up with Calculus I, 9 (43%) achieved B- or better, which is doublethe rate of the control group. Page 11.826.6VI. ConclusionsClearly, the first trial of this intervention strategy proved to increase the success rate inCalculus I for students who encountered difficulty early on. The intervention also has
. National Center for Education Statistics.[2] Besterfield‐Sacre, M., Atman, C. J., & Shuman, L. J. (1997). Characteristics of freshman engineering students: Models for determining student attrition in engineering. Journal of Engineering Education, 86(2), 139-149.[3] Grose TK. (2012). “The 10,000 Challenge”, ASEE Prism, 32-35.[4] Eris, O., Chachra, D., Chen, H., Rosca, C., Ludlow, L., Sheppard, S., & Donaldson, K. (2007, June). A preliminary analysis of correlates of engineering persistence: Results from a longitudinal study. In Proceedings of the American society for engineering education annual conference (pp. 24-27).[5] Lichtenstein, G., Loshbaugh, H., Claar, B., Bailey, T., & Sheppard, S. (2007, June
. https://doi.org/10.1002/jee.20111[13] Watson, M. K., Barrella, E., & Pelkey, J. (2018). Assessment of conceptual knowledge using a component-based concept map scoring program. International Journal of Engineering Education, 34(3), 1025–1037.[14] Cañas, A. J., Hill, G., Carff, R., Suri, N., Lott, J., Gómez, G., Eskridge, T. C., Arroyo, M., & Carvajal, R. (2004). CmapTools: A Knowledge Modeling and Sharing Environment. Concept Maps: Theory, Methodology, Technology. Proc. of the First Int. Conference on Concept Mapping, 1(1984), 125–135. http://eprint.ihmc.us/89/[15] Rittle-Johnson, B. (2006). Promoting Transfer: Effects of Self-Explanation and Direct Instruction. Child Development, 77(1), 1–15
ratio from 1. Calculation of the attribute score issummarized in equation 1, with option a used when heterogeneity within a team is preferred forthis attribute and option b used when homogeneity is preferred instead. 𝑟𝑎𝑛𝑔𝑒 𝑜𝑓 𝑣𝑎𝑙𝑢𝑒𝑠 𝑤𝑖𝑡ℎ𝑖𝑛 𝑡ℎ𝑒 𝑡𝑒𝑎𝑚 , (𝑎) 𝑟𝑎𝑛𝑔𝑒 𝑜𝑓 𝑣𝑎𝑙𝑢𝑒𝑠 𝑎𝑚𝑜𝑛𝑔 𝑎𝑙𝑙 𝑠𝑡𝑢𝑑𝑒𝑛𝑡𝑠 𝑎𝑡𝑡𝑟𝑖𝑏𝑢𝑡𝑒 𝑠𝑐𝑜𝑟𝑒 = (1) 𝑟𝑎𝑛𝑔𝑒 𝑜𝑓 𝑣𝑎𝑙𝑢𝑒𝑠 𝑤𝑖𝑡ℎ𝑖𝑛 𝑡ℎ𝑒 𝑡𝑒𝑎𝑚 {1 − 𝑟𝑎𝑛𝑔𝑒 𝑜𝑓 𝑣𝑎𝑙𝑢𝑒𝑠 𝑎𝑚𝑜𝑛𝑔 𝑎𝑙𝑙
, B. M. Wallen, and J. A. Starke, “An Environmental Engineering Sequence: Deliberately Addressing and Evaluating Environmental Attitudes and Knowledge (presentation & 6-page paper),” presented at the 2017 Mid-Atlantic Section Fall Conference, 2017.[3] S. Dexter, E. Buchanan, K. Dins, K. R. Fleischmann, and K. Miller, “Characterizing the Need for Graduate Ethics Education,” in Proceeding of the 44th ACM Technical Symposium on Computer Science Education, New York, NY, USA, 2013, pp. 153–158, doi: 10.1145/2445196.2445245.[4] A. R. Bielefeldt and N. E. Canney, “Changes in the Social Responsibility Attitudes of Engineering Students Over Time,” Sci Eng Ethics, vol. 22, no. 5, pp. 1535–1551, 2016, doi: 10.1007/s11948-015
science concepts that relate to the context of the design problem. Thisprior knowledge improves design performance and prompts inquiry learning 1.Crismond and Adams propose the Informed Design Teaching and Learning Matrix as acomparison between novice and informed designers1. We adopt the [matrix] as a framework toidentify patterns in the student artifacts that can help us determine if informed design is beingdisplayed. The Crismond and Adams framework identifies nine design strategies that designers –both beginners and informed – typically engage with and specify behaviors that are indicative ofboth novice and informed designers. These are (a) understand the design challenge (problemsolving vs. problem framing), (b) build knowledge (skipping vs
, weevaluated the students based on their integrated knowledge and its application to a real-worldscenario.2. Project OverviewQuinnipiac University is a medium-sized private university in northeastern United States. Withinthe engineering program, a 3-credit hour Introduction to Engineering course is offered; it isrequired for all engineering freshman students. The goals of the course are twofold: (a) to explainthe basic practice of engineering, impact on society, skills employed, and professional/ethicalresponsibilities; and (b) to summarize the knowledge bases, skills, problem types, and analysistechniques of the four engineering disciplines offered at the university. By raising students’understanding of engineering disciplines, the course enhances
Considerations in STEM Fields.” Proceedings of 2009 ASEE Annual Conference & Exposition, Austin, TX. June 14-17, 2009, AC 2009-517. [4] Dorie, B. L., Jones, T. R., and M. E. Cardella. “Parents as Critical Influence: Insights From Five Different Studies (Other)” Proceedings of 2014 ASEE Annual Conference & Exposition, Indianapolis, Indiana, June 15-18, 2014. Paper ID: 10554 [5] Carnasciali, M., & Thompson, A. E., & Thomas, T. J. (2013, June), “Factors influencing students' choice of engineering major.” Paper presented at 2013 ASEE Annual Conference & Exposition, Atlanta, Georgia. June 23-26, 2013. https
calculusperformance, it does suggest a positive effect in several areas. Firstly, although the freshmanclass of 2009 appears to have the same single semester drop-out rates as years previous, the twosemester drop rates imply a decrease. It is possible that this is within variance between classesbut it also may be the result of improved calculus performance. Secondly, it can also be inferredfrom the analysis of the data presented in Figure 1 that, although D’s and F’s in the course do notdecrease the course mainly helps B students become A students.Modifications and SummaryFor the fall 2010 offering of ENGR-1113 Foundations of Engineering Math several alterationswere made to the existing original class model in an attempt to further increase the
thesepopulations are created at random—can easily mask these effects. Future research isrecommended to look more specifically at disciplinary versus general engineering designtopics, as well as student perception and grades on particular content areas as opposed tothe overall course.References[1] M. J. Seiler, V. L. Seiler, and D. Chiang, “Professor, Student, and Course Attributes thatContribute to Successful Teaching Evaluations,” Financ. Pract. Educ., 1999.[2] R. B. Bausell and C. R. Bausell, “Student Ratings and Various Instructional Variablesfrom a Within-Instructor Perspective,” Res. High. Educ., vol. 11, no. 2, pp. 167–177, 1979.[3] T. M. Heckert, A. Latier, A. Ringwald, and B. Silvey, “Relation of Course, Instructor,and Student
decision-making processes on students’ success and retention in their fields.Bibliography1. Bodner, G. M, Follman, D. K, & Hutchinson, M. A. (2005). Shaping the Self-Efficacy Beliefs of First-Year Page 13.351.11 Engineering Students: What is the Role We Play? Proceedings of the American Society for Engineering Education Annual Conference. Portland, OR.2. Lent R.W., Brown, S.D., & Hackett, G. (1994). Toward a Unifying Social Cognitive Theory of Career and Academic Interest, Choice and Performance. Journal of Vocational Behavior, 45, 79-122.3. Lent, R. W; Brown, S. D., Sheu, H., Schmidt, J., Brenner, B. R
; Exposition, Austin, Texas. https://peer.asee.org/4967 2. Leslie, C., & Georgi, G. W., & D'Apice, A. M. (2015). A Student-led Approach to Promoting Teamwork in an Introductory Engineering Presentation. Paper presented at 2015 ASEE Annual Conference and Exposition, Seattle, Washington. 10.18260/p.23453. 3. Oakley, B., Hanna, D. M., Kuzmyn, Z., & Felder, R. M. (2007). Best practices involving teamwork in the classroom: Results from a survey of 6435 engineering student respondents. Education, IEEE Transactions on, 50(3), 266-272. 4. Knight, D. W., Carlson, L. E., & Sullivan, J. (2007, June). Improving engineering student retention through hands-on, team based, first-year design projects. In
assesses the effectiveness of changes made to somelearning modes. In addition to the student survey results, instructing faculty personal opinions of learningpotential and level of engagement for each mode are included along with faculty predictions of how thestudents would respond from their learner’s perspective. The data was used to establish how well we aseducators know our students. Results were evaluated to determine if (a) our prediction for an activitymakes a difference in how the students rate a learning mode for learning potential and level ofengagement and (b) if any mismatch exists in what we think and what they rate. This work providesexamples of the student and faculty surveys, proposes solutions, provides assessment to components
of the Committee to set Michigan high school graduation requirements. He retired in 2007, but has taught two seminars a year since that time. Page 14.536.3© American Society for Engineering Education, 2009 Engaging Early Engineering Students (EEES): Background and Goals of an NSF STEP Project to Increase RetentionAbstractEarly “leavers” from engineering programs typically fall into one of two overlapping categories:(a) those who leave because of academic difficulties and (b) those who leave because they findthe educational environment of early