experiment. The outcome of this exercise was along report that the students did not enjoy writing and which did not translate into a realistic norrelevant industrial document.As a modification to this experiment assignment, a simple scenario can be created. Propose thatthe students are technologists working at an instrumentation calibration laboratory. They havebeen contracted by a client to perform calibration of a linear displacement transducer. The clienthas requested that a calibration certificate is delivered with the calibrated instrument. In thisformulation of the experiment assignment, the execution and data analysis steps are unchangedfrom the previous format. However, instead of delivering the results to the instructor in the formof a
during graduate funding assignments,such as learning laboratory techniques or how to conduct research, may influence qualificationsfor and interest in future job roles and career sectors. Different funding types may offer differentexperiences for STEM doctoral students (Nettles & Millett, 2006).The main sources of fundingfor doctoral students come through fellowships, research assistantship (RAs), or teachingassistantships (TAs) (Knight, Kinoshita, Choe, & Borrego, 2018; National Center for Scienceand Engineering Statistics, 2017). While participating in a TA assignment can contribute to thesocialization of engineering doctoral students for future faculty careers (Mena, Diefes-Dux, &Capobianco, 2013), TAs are generally viewed more
Cognitive Research Laboratory (ECRL). She received her Bachelor’s degree from Franklin & Marshall College in physics and women and gender studies.Dr. Catherine G.P. Berdanier, Pennsylvania State University, University Park Catherine G.P. Berdanier is an Assistant Professor in the Department of Mechanical Engineering at Penn- sylvania State University. She earned her B.S. in Chemistry from The University of South Dakota, her M.S. in Aeronautical and Astronautical Engineering and Ph.D. in Engineering Education from Purdue University. Her research interests include graduate-level engineering education, including inter- and mul- tidisciplinary graduate education, online engineering cognition and learning, and engineering
Paper ID #28752Redefining Retention in STEM Education: New Perspectives on aStudent-centered Metric of SuccessDr. Andrew Forney, Loyola Marymount University Prof. Andrew Forney is an Assistant Professor in Computer Science at Loyola Marymount University with research interests broadly at the intersection of cognitive psychology, artificial intelligence, and experimental design. He has worked with the UCLA Cognitive Systems Laboratory for the past 7 years advancing the theory and practice of causal inference as an emerging set of tools for both the empirical sciences and design of artificial decision-makers. His recent
and understanding, designs and implements assessment tools in education, researches on the use of technology in the classroom and physics laboratory, and conducts research on the determination of what are the main factors that influence learning and understanding of first semester engineering students. Monica is currently collaborating with the Educational and Academic Innovation Unit, UNIDA (for its acronym in Spanish) at the School of Engineering of the Andres Bello University, where she works as teacher trainer in active learning methodologies, she teaches undergraduate courses in Environmental Management and Energy and Circular Economy, and is a thesis advisor on the engineering programs at this institution
Engineering Undergraduate Laboratory,” IEEE Frontiers in Education, 1997, pp. 350-354.[7] Armarego, J., “Advanced Software Design: A Case in Problem-Based Learning,” IEEE Computer Society: Proceedings of the 15th Annual Conference on Software Engineering Education and Training, 2002, pp. 44-54.[8] Denayer, I., K. Thaels, J. Vander Sloten, and R. Gobin, “Teaching a Structured Approach to Design Process for Undergraduate Engineering Students by Problem-Based Education,” European Journal of Engineering Education, Vol. 28, No. 2, 2003, pp. 203-214.[9] Brodeur, D., P. W. Young, and K. B. Blair, “Problem-Based Learning in Aerospace Engineering Education,” Proceedings of the American Society for Engineering
: Students' reported learning gains. J. Eng. Education, 2001. 90(1): p. 123.19. Beaudoin, D.L. and D.F. Ollis, A product and process engineering laboratory for freshmen. J. Eng. Educa- tion, 1995. 84(3): p. 279.20. Masten, S., K.-C. Chen, J. Graulau, S.L. Kari, and K.-H. Lee, A Web-based and group learning environ- ment for introductory environmental engineering. J. Eng. Education, 2002. 91(1): p. 69.21. Maskell, D.L. and P.J. Grabau, A multidisciplinary cooperative problem-based learning approach to em- bedded systems design. IEEE Trans. Education, 1998. 41(2): p. 101.22. Vandebona, U. and M.M. Attard, A problem-based learning approach in a civil engineering curriculum. World Trans. Eng. Tech. Education, 2002. 1(1): p
York: Collier/Macmillan4 Johnson, David W., Johnson, Roger T., and Smith, Karl A. (1991). Cooperative learning: Increasing college faculty instructional productivity. ASHE-ERIC Report on Higher Education. Washington, DC: The George Washington University.5 Johnson, D., Johnson, R.& Holubec, E. (1998). Cooperation in the classroom. Boston: Allyn and Bacon.6 Taconis, R., Ferguson-Hessler M.G.M., & Broekkamp, H. (2001). Teaching Science Problem Solving: An Overview of Experimental Work. Journal of Research in Science Teaching, 38(4), 442-468.7 She, H. (1999). Students’ knowledge construction in small groups in the seventh grade biology laboratory: Verbal communication and physical engagement. International Journal of
standardsexpected in each section of the report. Figure 1: Rubric Example The use of rubrics, as described above is similar to the use described by Powe and Moorheadin their 2006 article on the use of rubrics to grade laboratory reports7. Their combined use ofquantitative and qualitative methods in their rubrics helped standardize the grading of reports byteaching assistants who each had to grade reports for a common course. In the same manner, thefaculty advisors in the senior design course each had to grade the design report for theirindividual team, while submitting that grade for a common course. An additional benefit thatPowe and Moorhead identify is that the use of rubrics in this manner shortened the time to
. Page 11.1346.12AcknowledgementsThis work has been supported by the National Science Foundation through grant REC-0238392,Using portfolios to promote knowledge integration in engineering education. The authors wishto thank all members of the Laboratory for User-Centered Engineering Education for theinsightful reviews and comments that helped to shape this paper.References1. Lappenbusch, S., & Turns, J. (2005). Finding their place in TC: using a community of practice model to research emerging TC professionals. Proceedings of the IEEE Conference on Professional Communication, Limerick, Ireland.2. Guan, Z., Yellin, J.M., Turns, J., and Kumar, V. (2005). User-centered design of course-based portfolios for mechanical engineering
in Table 1. The MEA wascompleted in a computer laboratory setting with the students working both individually and inteams of 3 to 4 students. The students had twenty minutes to do the individual portion and onehour to complete the team portion of the MEA. The students begin by reading the entire MEAindividually. When students work this problem, the individual warm-up activity (the last sectionof Table 1) requires that the students think about the problem and provides the students time toorganize their thoughts before setting out to solve the problem with their team members. Thestudent teams then re-read the problem statement and develop the model for their procedure. Table 1. Factory Layout MEA
. Moreover, thiswas an analysis of design activities in actual practice, unlike laboratory experiments whichmight alter designer behavior and strategies.During stage I, students were required to analyze the current offerings in the market andredesign an electric toothbrush that will better meet needs of the targeted population. Theywere expected to begin with a customer needs assessment, complete a literature search,product dissection and benchmarking, generate and select a viable concept, and end withdetailed design specifications. The deliverables included a progress report four weeks into theproject, and a final design document and presentation at the end of the seven week period.The design documentations of the eight design teams were reviewed
strategies and didacticcurriculums, integrated design technologies and developing technologies; to simulation, qualityin higher education, and distance learning; to information communication technology,assessment/accreditation, sustainable technology and project-based training; and to engineeringmanagement, women engineering careers, and undergraduate engineering research.Trends in Engineering EducationThe trends in engineering education have been reported over several periods of time by differentauthors. Meisen6 mentions that the global trends in engineering education in the 90s were agreater emphasis on experiential programs supported by industry work experience, decliningemphasis on laboratory instruction, internationalization of engineering
. Protection of the learner’s security and privacy was the concern is of the utmost importance.Additionally, one must consider issues of equity and the differences among learners that exist (e.g.,personality, learning styles, persons that struggle with depth-perception, hand-eye coordination) whendeveloping cyberlearning tools. It is also important to distinguish what content is better suited for ahuman instructor from what can be effectively taught using cyberlearning. Furthermore, now that so muchdata is not readily available using various cyberlearning mediums, teachers using such resources as part oftheir laboratories must ensure that their students are not losing an appreciation of the data collectionprocess. Additionally, one Program Officer
opportunities that allow students to apply theirengineering design learning. Classroom meetings are typically devoted to hands-on team-basedactivities, which range from product dissections to designing products for various speculativescenarios. In addition to these in-class activities, student teams work together out-of-class on asemester project wherein they design a novel consumer product. In addition, the ME studentswere enrolled in a hands-on laboratory course focused on manufacturing processes (welding,machining, casting, etc.).At the time of second data collection, in the second semester of participants’ sophomore year,neither group was enrolled in design-related courses. Both sets of students were involved inengineering science courses (e.g
first phases of the study (conducted during 2011),which addresses research questions one, two and four.1.1 Background of the Premier AwardThe Premier Award competition was instituted with two primary goals: to recognize and rewardthe efforts of faculty (and students) developing courseware and to provide an external measure ofthe quality of the courseware.14 The Premier Award was created as a program within theSynthesis Coalition, one of the NSF engineering education coalitions funded in the 1990’s,which focused on improving engineering education by designing, implementing and assessingapproaches to undergraduate engineering education that emphasized multidisciplinary synthesis,teamwork and communication, hands-on and laboratory experiences
laboratories.” Most engineering colleges also claimed to be leading institutions—leaders in innovation, discovery, and education.Creating and expanding knowledge, particularly through research, was emphasized by most ofthe universities. The vision of one college of engineering was “to produce new engineers as wellas discoveries and technologies focused on research to enhance the quality of life in the U.S. andbeyond,” while another college stated that it valued “knowledge creation and scholarship.”Although undergraduates are involved in research at many (if not all) of the universities includedin this study, none of the university websites specified if undergraduate students were expectedto participate in creating and expanding knowledge through
learning among diverse students: 1, 11 2) the stallingof innovation in STEM education:15 and 3) the wide-spread reliance on lecture and thereceive/memorize cognitive demand as the primary instructional strategy.12 Thusalternative faculty development models are needed.From a NSF Division of Undergraduate Education (DUE) perspective, facultydevelopment has been a key component in the Transforming Undergraduate Education inSTEM (TUES) and Course, Curriculum and Laboratory Improvement (CCLI) Programssince the Solicitation has a component calling for projects devoted to developing facultyexpertise. Further, with many of the proposals focused on the curriculum development,faculty workshops play a major role in the dissemination plan. For a number of
scheduled days. The courses selected for the study at the institution areidentified as i) a freshman design class teaching computer-aided design, ii) a sophomoreintroductory circuits laboratory, iii) a junior design class in controls and electronics, and iv) asenior capstone project class.On the day of the module delivery, the case study was first introduced to students through a shortpresentation by the instructor assigned to this role during which the one-page case study wasread aloud. It is also suggested to include a brief, relevant video clip of a key interview or newssegment on the subject to supplement the text. Whenever possible, contrasting viewpoints bydifferent stakeholders can also be expressed through the selection of video clips to
&M course," Physical Review Special Topics - Physics Education Research, vol. 5, 2009.[6] H. Ebbinghaus, Memory: A Contribution to Experimental Psychology (translated). New York: Columbia Teachers' College, 1913.[7] C. D. Bailey, "Forgetting and the Learning Curve: A Laboratory Study," Management Science, vol. 35, no. 3, pp. 340-352, 1989.[8] J.H. Block and P.W. Airasian, Mastery Learning: Theory and Practice.: Holt, Rinehart, and Winston, 1971.[9] R. M. Thorndike and T. Thorndike-Christ, "Qualities Desired in Any Measurement Procedure: Reliability," in Measurement and Evaluation in Psychology and Education, 8th Ed. Boston: Pearson, 2010, pp. 124-125.[10] H. F. O'Neil and J. Schacter, "Test Specifications for Problem-Solving
AC 2010-1109: CHANGING HIGH SCHOOL STEM TEACHER BELIEFS ANDEXPECTATIONS ABOUT ENGINEERING LEARNING AND INSTRUCTIONMitchell Nathan, University of Wisconsin, Madison Professor Mitchell Nathan, PhD and BSEE, is currently Chair of the Learning Sciences program at the University of Wisconsin-Madison, and a founding officer of the International Society of the Learning Sciences (ISLS). Dr. Nathan studies the cognitive, embodied, and social processes involved in learning and teaching mathematics, science and engineering in classrooms and the laboratory, using analysis of discourse, survey and assessment instruments, and experimental design. Dr. Nathan examines teacher beliefs about student
Exposition, pp. 2599-2606, 2001.18. Miller, R., and Olds, B., “Encouraging Critical Thinking in an Interactive Chemical Engineering Laboratory Environment,” Proceedings of the Frontiers in Education Conference, pp. 506-510, 1994.19. Bruno, B., and Anderson, A., “Using Objective Driven Heat Transfer Lab Experiences to Simultaneously Teach Critical Thinking Skills and Technical Content,” Innovations in Engineering Education, pp. 177-189, 2005.20. Nelson, S., “Impact of Technology on Individuals and Society: A Critical Thinking and Lifelong Learning Class for Engineering Students,” Proceedings of the Frontiers in Education Conference, 3:S1B/14-S1B/18, 2001.21. Wiggins, and Grant. “Educative Assessment: Designing
received her Ph.D. from the School of Engineering Education at Purdue University.Brian Self, California Polytechnic State University Brian Self is a Professor in the Mechanical Engineering Department at California Polytechnic State University in San Luis Obispo. Prior to joining the faculty at Cal Poly in 2006, he taught for seven years at the United States Air Force Academy and worked for four years in the Air Force Research Laboratories. Research interests include active learning and engineering education, spatial disorientation, rehabilitation engineering, sports biomechanics, and aerospace physiology. He worked on a team that developed the Dynamics Concept Inventory and is currently
engineering concepts to solve problems Engr B 3.5 Ability to design an experiment to obtain measurements or gain additional Exp knowledge about a process B 3.6 Ability to analyze and interpret engineering data Data C 3.7 Ability to design a device or process to meet a stated need Design D 3.8 Ability to function effectively in different team roles Team E 3.9 Ability to formulate and solve engineering problems PS K 3.10 Ability to use laboratory procedures and equipment Equip K 3.11 Ability to use software
, Northwestern University Matthew R. Glucksberg is a professor of biomedical engineering at Northwestern University. His tech- nical expertise is in tissue mechanics, microcirculation, and optical instrumentation. His laboratory has developed image-based instrumentation to measure pressure and flow in the circulation of the eye, in- struments to measure the response of pulmonary alveolar epithelial cells to their immediate mechanical environment, and is currently involved in developing minimally invasive optical biosensors for monitoring glucose, lactate, and other measures of metabolic function. He is a Co-founder of Northwestern’s Global Healthcare Technologies Program in Cape Town South Africa and Co-director of an M.S
than the other two courses due to a clear “right answer” toboth homework and exam problems and general lack of open-ended assignments. On the otherhand, Chemistry and Physics can have problems that are more difficult to grade consistentlyacross sections, and laboratory courses leave a significant portion of the grade to the discretion oflaboratory instructors who may neither teach the corresponding lecture nor grade consistentlyacross sections. Beyond simply expressing institutional level effects on student performance, Padilla et al.note in their 2005 paper the importance of eliminating aggregation bias and misestimatedstandard errors that occur when researchers ignore the nested structures inherent in HLM.36 Thetreatment of HLM in
26. learning styles accreditation 27. sustainability women in engineering 28. learning faculty development 29. experiential learning distance education 30. performance cooperative learning 31. curriculum undergraduate research 32. engineering education research technology 33. virtual laboratories programming 34. problem based learning experiential learning 35. problem solving
, within engineering we know little about how studentsapproach open-book testing, particularly with regard to how they spend their time on differenttasks and how this division of time may affect performance.The study in this paper examined the testing behavior of 8 senior materials science andengineering students at a large public university in the southeastern US. Students completed fourengineering problems during individual laboratory sessions while engaged in a think-aloudprocedure (i.e., verbally explaining their thought processes as they worked through theproblems). The problems were designed to vary in terms of their closed or open-endedness andthe number of decision points involved in their solution. Students’ think-aloud protocols