Development of an Assessment Plan for a New Sequence of Design CoursesAbstractA new sequence of mechanical design courses was developed at California State University,Northridge to improve the integration of design concepts into the mechanical engineeringcurriculum. The new courses were created using the Conceive-Design-Implement-Operate(CDIO) framework as the context for engineering education. Key goals of the new sequence areto increase student performance and retention, particularly in the first two years of the program.Courses in the new sequence were part of a significant mechanical engineering program change,and are being offered for the first time in the Fall 2009 semester. A key
been“tagged” in MuseInk, a “Schoenfeld-style” plot is automatically generated to illustrate andexamine how much time a student spends working in different stages of their problem solvingstrategy. In Figure 4, the two plots generated by MuseInk show the strategic difference betweena student who fluctuates between different methods for solving a problem and eventually endsthe problem with an incorrect answer (top) compared to a student who spends an adequateamount of time demonstrating an understanding of the problem, planning, and finally quicklysolves for the correct answer (bottom.) The “duration” in Figure 4 is computed based on thenumber of strokes and erasures in each step of the problem solving strategy. A future“Schoenfeld-style” plot
Scranton in 1985 and degrees in educational psychology: research, measurement and statistics from Texas A&M University (M.S. in 1986 and Ph.D. in 1990). She can be contacted at jmk35@psu.edu.Nell Sedransk, National Institute of Statistical Sciences Dr. Nell Sedransk, Co-Pi, is the Associate Director of the National Institute of Statistical Sciences (NISS) and Professor of Statistics at North Carolina State University. She is an Elected Fellow of the International Statistical Institute, also Elected Fellow of the American Statistical Association. She has served as Associate Editor for the Journal of the American Statistical Association, the Journal of Statistical Planning and Inference, and
. Page 15.200.3Note that besides the concepts of ask, imagine, plan, create, and improve as presented in thedesign process model in the “Engineering is Elementary” unit, we also added test, time anddocument in the process. The test concept is an implicit activity that links create and improve—after a design is created, it can be tested to identify opportunities for improvement. This testingprocess is included in the Engineering is Elementary units, although it does not appear in theirdiagram. The time concept came from Bailey’s original rubric. As teachers need to design lessonplans to carry out design process and also monitor students’ process, we choose to include it inour rubrics. The document aspect was also included in Bailey’s original
SEEM TO MATTERABSTRACTIn this paper we explore engineering student gains in confidence in professional andinterpersonal skills and intrinsic psychological motivation to study engineering. These twofactors were selected because they have been shown in other work from the Academic PathwaysStudy (APS) sponsored by the Center for the Advancement of Engineering Education (CAEE) tobe directly related to post-graduation plans and to several dimensions of the undergraduateexperience. We focus on students with positive confidence and/or motivation gains during theirfirst two years of college, and show that these students are distinct from those with negative orno gains in terms of persistence in the engineering profession, confidence in math and
instrument: 1, 2 & 3 carry a combined weight of 50%. The first two are concerned withconcept identification and concept mathematical expressions with a 20% weight, while applyingthe concepts carries a 30% weight. The solution method or plan is also assigned a 30% weight,while the final results are assigned a 20% weight. It is noted that applying the concepts(competency 3) and presenting a solution plan or approach (competency 4) are given a combinedweight of 60%, in order to emphasize the conceptual and procedural competencies as significantcomponents of the cognitive learning process. The assessment rubric is displayed in Table 6. Conceptual and Score Weight
to single individuals,”6. Furthermore, the team itself performs cognitive tasks inthat “they detect and recognize pertinent cues, make decisions, solve problems, rememberrelevant information, plan, acquire knowledge, and design solutions or products as an integratedunit.”7. This is not to say, however, that team cognition is a natural outcome of working on ateam. In fact, it requires a lot of effort and is a distinguishing feature of high-performance teams8 . Team members come with differing perspectives, backgrounds, and expectations and from thisdiversity a shared mental model must emerge9.An individual’s mental model is an “internal conceptual representation of an external systemwhose structure maintains the perceived structure of that
area that needed to be changed in the next workshop. The workshop organizersthen ranked the changes that needed to be made according to their priority for change and thendesignated people were responsible for making changes for the next workshop. This processprovided a continual improvement plan for the workshops and a second source of data for ourholistic assessment of changes in the faculty that attended the workshop.Focus groups At the closing banquet each university was asked to give their perspective on threequestions. The first question asked what was the most important thing they had gained from theworkshop; the second question asked them to indicate in what class they were planning onimplementing the program; and the third
has confidence in his orher ability to engage in occupational and educational decision making 17. Career decision self-efficacy, which was originally defined by Taylor and Betz 18, is measured in terms of self-appraisal, occupational information, goal selection, planning, and problem-solving 19. Qualityexploration of career development is the basis for career decision self-efficacy 16. Research hasused the Social Cognitive Career Theory (SCCT)20 and outcome expectations to predictbehavioral influences in careers. Ojeda et al. 21 reported that high levels of confidence are relatedto positive career behaviors and outcomes. Thus, there is no debate that behavior stronglyinfluences career decision self-efficacy. The interest comes when one
isn't just sitting in a shop taking an hr to design something then spend weeks building it. It also consists of many layers of planning, revising, and preparation. This project also helped me focus more because it was a real client instead of a made up one which isn't as appealing to design and plan for. Also, working with groups helped because it’s an integral part of the real world.” “It dumped me completely headfirst into the muddy waters of design. I was up to my ears in confusion and somehow our group came out to the surface with a plan. It forced me to help the client even though it was way beyond my ability and it put me closer to helping me get there
. Page 15.523.1© American Society for Engineering Education, 2010To Establish an Importance Index of Basic Chemistry Competence in theUniversities of Science and Technology, Taiwan1. Introduction In order to facilitate the intellectual industry and innovation ability, the government inTaiwan has proclaimed a “National Development Plan” since 2002 (Council for EconomicPlanning and Development, 2005). One of the targets in the plan is to increase highlyqualified manpower, to fuel the desperate demands from the electronic engineering, greenenergy, chemical engineering, and biotechnology fields. From the viewpoint of the futuredevelopment, nanotechnology, communication technology, green energy, environmentalindustry, optoelectronic industry and
arrive at general consensus ofwhat appears to be widely accepted definitions, and to shed light on how common terms areused.Active learning is generally defined as any instructional method that engages students in thelearning process. It is widely accepted that active learning requires students to take part in “pre-planned” learning-related activities, believed to spark and stimulate their learning, while in theclassroom 5, 6 .These activities would include: reading, writing, solving problems, answeringquestions, participating in a discussion, etc.; and most important, students must be engaged inthinking tasks while actively involved. It is generally understood that during active learning, lessemphasis is placed on transmission of information
, andcovered Gainsburg’s first two steps, 1) Identify the real-world phenomenon, and 2) Simplify oridealize the phenomenon. We planned this phase to be very open-ended. Students were asked to“tell the Phototherapy Design Team what you think should be modeled, how you wouldapproach the modeling, and how you expect the model to eventually be helpful in the design.”Ideally, we hoped that students would provide their conceptions of what modeling is, and not justlist the steps in the overall design process. Note that we never said “mathematical model” oranything comparable.This phase was completed in class in order to collect students’ individual responses to thisquestion. Students had 45 min to complete the task. Student responses were collected and
processes used in scientific discovery and innovation. The student authors wereinvited to read their novels with the students in the lower grades to promotescience/engineering literacy throughout the school.The module described above outlines the process by which students in grades 6, 7, and 8created graphic novels with science and engineering themes. The lesson plans followedthe recommendations outlined on the National Association of Comics Art Educator’swebsite for the process of making a graphic novel. Pre and post activity assessmentswere administered to evaluate the student’s attitude towards science and engineering, aswell as for evidence of understanding and application of the scientific method.Introduction: A graphic novel is usually a book
engineeringstudents at U.S. institutions, it was not feasible to randomly sample individual students. Instead,sampling was done by institution using a stratified approach based on institutionalcharacteristics. Once the institutions were selected, the student population at each school wasdivided into subpopulations (or strata) for recruitment (see Donaldson & Sheppard (2008)6 for adetailed description of the APPLES2 sampling plan). Partnership with North Carolina A&TInstitutional recruitment for the national APPLES research began in mid-2007 with invitationletters sent to each institution’s dean as well as a special session held at the annual meeting of theAmerican Society of Engineering Education in June of 2007. As part of the
AC 2010-2028: SPECIAL SESSION: DEVELOPING INTERCULTURALENGINEERS THROUGH SERVICEKurt Paterson, Michigan Technological University Page 15.1083.1© American Society for Engineering Education, 2010 Developing Intercultural Engineers Through ServiceAbstractThis paper reports on recent efforts to understand the cultural awareness among engineeringstudents. A standard assessment program has been instituted across the various programs atMichigan Technological University with pre-, during-, and post-project phases. The mixed-methods assessment plan consists of surveys, reflection statements, journaling, a wellnessindicator, the Intercultural Development Inventory, and project
circuits Concepts Targeted: logic design skills with digital circuitsWind Energy: A company is considering investing in a wind energy farm in one of several re-gions. The team must pick the most economical location, considering long term demand for elec-tricity using price and cost estimates. In addition, the team must consider locating the farm off-shore versus on land; and, if offshore – whether it should be close in, or further out so as to notblock the view of those with shoreline homes. Issues of technical feasibility should also be ad-dressed. Concepts targeted: long term planning, forecasting, and economic analysis. Ethical Issues: The consideration of both the potential benefits and harm caused by the wind energy including, if
Dr. Cathy L. Bays is the assessment specialist for the university’s regional reaccreditation Quality Enhancement Plan. In this role she provides leadership across the 8 undergraduate units by demonstrating a broad knowledge of assessment, facilitating unit-specific assessment projects and outcomes, providing faculty development on assessment topics, and supporting the scholarship of assessment. For 15 years she was a faculty member in the School of Nursing at the University of Louisville, serving as Director of the Undergraduate Nursing Program for 5 of those years. Page 15.1022.1© American Society
conceptsof structured cognition in the research plan. Scaffolding was indicated in 45% of studies. Co-operative learning was found in 10% of studies.Of the 20 studies selected for the meta-analysis, the research method selected was fitting for 95%of the studies. The instrumentation selected seemed appropriate for 65% of studies. There did not Page 15.51.7appear to be an issue with history, maturation, bias, mortality, or selection-maturationinteraction. There were no issues related to the ethical conduct of the investigators.DiscussionThe empirical evidence on the association between cognitive science and student outcomes inundergraduate engineering
. Page 15.706.3The analogy between temperature in annealed materials and creative energy in innovation is asimple logical concept that we plan to exploit in improving creativity in engineering. Inannealing, it is thermal energy that samples the states of the metal. In stochastic simulation, it isfluctuations in energy that sample the state of the simulated material. The creative energy thatallows the sampling of idea space is humor. The equivalence of humor and innovation is wellestablished. Edward de Bono points out that both humor and innovation require lateral thinkingthat jumps from one plane of thought to another. This transfer is the punch-line in a joke wheretwo disparate ideas are compared in a humorous way. In innovation, this transfer
to fully explain the incident and outcomes to ensure full facilitation of theCIT process. The researcher plans to use more “how?,” “why?” and “can you tell me more aboutthat?” type questions in the future to probe for additional details.Advantages The researchers experienced the following advantages with the CIT in this study: • The CIT framework allowed students to focus on the specific incidents of interest to the researcher. • The interview guide was well constructed. The CIT informed the phrasing of the questions and helped gain enough detail to visualize how knowledge or skill gained had influenced various engineering-related academic choices. • The academic choice definition sheet helped to define what was
degree in Civil Engineering from Stanford University, and his PhD in Civil & Environmental Engineering from Stanford University. He has authored over a dozen papers in peer-reviewed scientific journals. Page 15.705.1Qiong Zhang, University of South Florida© American Society for Engineering Education, 2010 Improving writing in civil and environmental engineeringcourses using CLAQWA, an online tool for writing improvementAbstractA required ABET student outcome of engineering programs is “communication” which,according to the American Society of Civil Engineers BOK means that a student can“Plan, compose, and integrate
,proficient, as an increase in intuitive teaching. Teachers begin to see trends in student learningexperience from one lesson to the next and are capable of altering their plans to accommodate a Page 15.1269.4better learning environment. Expert teachers exceed this level by performing arationally, byacting effortlessly and fluidly without much analysis while things are going smoothly in theclassroom.3 Experts utilize routines effectively, while maintaining the ability to alter lesson plansbased on the feedback from the students. Expertise is not normally reached until after year seven.According to Berliner, many teachers never progress past the
. She currently serves as the President of the Purdue Student Chapter of ASEE. Her research interests include engineering thinking, motivation and vocational choice in engineering, and sustainability policy.Russell Long, Purdue University Russell A. Long is Associate Director of MIDFIELD and Director of Project Assessment in the School of Engineering Education at Purdue University. He has twenty years experience in institutional research, assessment, strategic planning, and higher education policy. He is a SAS expert and manages the MIDFIELD database.Matthew Ohland, Purdue University Matthew W. Ohland is an Associate Professor in the School of Engineering Education at Purdue University
it16. Second, as noted by Tilli and Trevelyan there are few longitudinal studies of engineeringgraduates17. They are conducting one such study. In their study they plan to look at the work ofengineering graduates who went into other fields and what they say about that work. But,because they are in the early stages, they do not yet have published details on those findings. Aspart of their study, they reviewed other longitudinal studies that have been done of engineeringgraduates; none of these other studies looked at how individuals that are not engineers are usingtheir engineering background. Therefore, with this understanding of engineering thinking and work, we endeavor to fillthis gap in the literature and look at what non
investigate the role of ethnicity infemale engineering students’ educational experiences and vocational plans.13 The authors of thecurrent study propose that the SCCT model might be extended to explain the propensity for newengineers to be satisfied or dissatisfied with their jobs. New engineers’ early work experiencesare critical in that, during this time, they form enduring perceptions about their work, theircompany, and their profession which strongly influence their decisions to stay or quit.14 Theauthors propose then that these experiences moderate new engineers’ job satisfaction, which is aprecursor to many other occupational outcomes including commitment to a career inengineering. Preliminary evidence of this has been provided by the Society
positedearlier in this paper, i.e., that there is too much variability in the methodologies and metrics ofcurrent ranking systems.Another nagging question, beyond that of the focus of the unit of comparison, remains however.This question asks: For what purpose is the comparison being made? The literature reviewyielded a whole range of purposes including: • Comparison of institutions • Evaluation of institutions/colleges/programs • Assessing progress towards strategic plan goals • Accreditation • Performance assessment, e.g., for promotion and tenure decision, of faculty • Guiding individual decision makingThe complexity of the problem of assessment and comparison is depicted by the illustrationdepicted in Figure 1. It shows that the
student learning by providing formativefeedback to students6.Diefes-Dux, et al.4 present a concrete example of how educational design research, a models-and-modeling perspective from mathematics education, and multi-tiered teaching experimentshave been used in the design of valid and reliable evaluation tools for scoring team responses toMEAs. Their work demonstrates how the design of a package of evaluation tools (includingrubrics, task-specific supports, and scorer training) based on the aforementioned educationalresearch methods supports (1) sustained fidelity to engineering expert-identified characteristicsof high performance across iterations of change to improve reliability, and (2) theimplementation of planned iterations of the evaluation
policiessituated within colleges (P&T). By conducting in-depth interviews with STEM faculty membersand exploring organizational texts such as the PL and P&T document guidelines, or college anduniversity level strategic plans and policies for stopping the tenure clock or granting courserelief, we will demonstrate the usefulness of the IE method in engineering education research.This methodology has theoretical and policy implications that address the phenomenon ofwomen’s underrepresentation among engineering faculty.We begin this paper with a discussion of the sociological theory investigating the construct of an“ideal worker” in the context of academia. We then describe some of the theory behind theinstitutional ethnography research method, and
performance.This paper concludes with recommendations for fostering engagement in undergraduate coursesand plans for future work. Our results linking course performance with completion of extra creditassignments will spur further study of how to best encourage learning in heat transfer courses.Course BackgroundThe introductory heat transfer course held in Fall 2009 had three required components: an in-class component, an at-home component, and a laboratory component. In addition, there wereoptional components that students could choose to pursue including attending the teachingassistant-led sessions or completing extra credit assignments. There were 61 students enrolled inthe course, and 60 students agreed to participate in this engagement study.There