andprocess information (Allinson & Hayes, 1996; Goldstein & Blackman, 1978; Messik, 1984;Riding, 1997). It is reflected in the organization of information in memory, the speed andaccuracy of decision-making under uncertainty, the global or macro approaches to dealing withproblems, and the preference for different problem solving strategies (Messik, 1976, 1984;Sternberg & Grigorenko, 1997).Two measures of cognitive design style are used in this project, the first is the problem-solutionindex and the second is design patterns based on the transitions of design issues and designprocesses. These provide quantitative measures of design styles. Cognitive design style ismeasured at the meta-level by dividing the entire design activity into two
researchers seek to understand whether and to what extent thedevelopment of engineering “habits of mind and action” in middle school STEM (science,technology, engineering, and math) courses leads to improvements in problem solving abilities,integration of STEM content, and increased interest in engineering. The Next Generation ScienceStandards (NGSS; NGSS Lead States, 2013) call for “raising engineering design to the samelevel as scientific inquiry in science classroom instruction at all levels” (p. 1). Reflecting thisemphasis on engineering as a core idea, recent reforms include proficiency in engineering designas a key component of college and career readiness (Auyang, 2004; Carr, Bennett, & Strobel,2012; Duderstadt, 2008; Kelly, 2014
(3) including both Google Docs and interactive videos in the third. End-of-Course Surveys consistently show that the students enjoyed the weekly hands-on labs. After thethird class offering, an additional survey of student experience with the new technologies wasconducted. The results reflected a positive student experience with the course delivery.EE110 Course Description and ObjectivesIntroduction to Engineering, EE110 provides the beginning engineer with fundamentalknowledge and skills associated with the electrical or computer engineering professions. It willintroduce common electronic components, basic circuit configurations, and laboratoryinstruments. Bench practices and lab reports will be introduced along with computer aidedanalysis
,analyses of award winning products, and a case study of a long-term design project, DesignHeuristics capture the cognitive “rules of thumb” used by designers to intentionally vary their setof candidate designs[23]. These strategies appear to be ones that expert designers employautomatically, without consciously deciding to do so[24]. The heuristics were individuallyextracted across multiple concepts from multiple designers to reflect a useful level of abstractionin describing how to alter design characteristics to create new ones[25]. The resulting set of DesignHeuristics capture 77 different strategies, each of which can be applied independently or in tocreate new designs[26].The set of Design Heuristics is packaged as an instructional tool for
. Instructional Design, on the other hand, is the systematic and reflective process oftranslating principles of learning and instruction into plans for, instructional materials, activities,information resources, and evaluation [1]. Teaching refers to the learning experiences that arefacilitated by a human being. Smith and Ragan [1] identifies three steps in instructional design inthe following way: a. Identifying the Goals through Analysis – This involves consideration of the learning outcomes to be achieved, background of students and the nature of the teaching activity such as lecture, workshop, and lab work. b. Development of an Instructional Strategy – This is the planning of how the instruction will take place
. Produces practical solutions based on meeting requirements of analyzed problem components. g1. Reports describe goals, methods and solutions at the level appropriate for the reader. Relevant technical literature is identified and used appropriately. g2. Presentations clearly describe goals, methods and solutions. g3. Responds to questions, comments and criticism in a clear and appropriate manner in oral interactions. h1a. Exhibits curiosity & initiative. h1b. Exhibits reflection. h2. Participates in discipline-relevant professional societies and organizations. i1. Demonstrates an understanding of the Code of Professional Engineers. i2. Recognizes importance of respect for diversity. j1. Identifies both potential benefits and adverse
Psychology from Stanford University. Her current research interests include: 1) engineering and en- trepreneurship education; 2) the pedagogy of ePortfolios and reflective practice in higher education; and 3) redesigning the traditional academic transcript.Dr. Sheri Sheppard, Stanford University Sheri D. Sheppard, Ph.D., P.E., is professor of Mechanical Engineering at Stanford University. Besides teaching both undergraduate and graduate design and education related classes at Stanford University, she conducts research on engineering education and work-practices, and applied finite element analysis. From 1999-2008 she served as a Senior Scholar at the Carnegie Foundation for the Advancement of Teaching, leading the
Science and Biomedical Engineering Courses. 2016. 2. Betebenner D. Norm-‐and criterion-‐referenced student growth. Educ Meas Issues Pract. 2009;28(4):42–51. 3. Tam M. University impact on student growth: a quality measure? J High Educ Policy Manag. 2002;24(2):211–218. 4. Carberry A, Krause S, Ankeny C, Waters C. “Unmuddying” course content using muddiest point reflections. IEEE; 2013. p. 937–942. 5. Cohen GS, Blumberg P, Ryan NC, Sullivan PL. Do final grades reflect written qualitative evaluations of student performance? Teach Learn Med Int J. 1993;5(1):10–15. 6. Allen JD. Grades as
bedetermined through qualitative analysis of course names and descriptions.This study has currently finished phase 1 (online data collection). Phase 2 will be completedduring the first semester of 2017, and phase 3 during the summer of 2017. The results in thispaper reflect findings for phase 1 and are aimed at helping CM educators evaluate the presentlevel of collaboration between AEC undergraduate programs in the United States.Partial ResultsSample DemographicsThere are 129 ASC affiliated schools in regions 1 through 7 in the association’s website.Region eight was excluded from the analysis as it encompasses only schools from outside ofthe United States. Other exclusions were made and are presented below. Finally, this researchwas conducted using
. In DFM, a more functionally constrained project could accomplish the same thing.• Building the Connection between Function and GD&T This follows from the previous point and reflects the challenge noted earlier that students experience the greatest difficulty when they are required to come up with the correct controls, and more so specific values of tolerance that will result in a desired function. In industry, this experiential knowledge has been acquired over time and is captured in standards and procedures for dimensioning and tolerancing the specific products that are designed and manufactured. Though it is difficult to reproduce this in an academic setting, tooling design again represents a good application
. Trevor Scott Harding, California Polytechnic State University, San Luis Obispo Dr. Trevor S. Harding is Professor of Materials Engineering at California Polytechnic State University where he teaches courses in materials design, sustainable materials, and polymeric materials. Dr. Harding is PI on several engineering education research projects including understanding the psychology of engi- neering ethical decision making and promoting the use of reflection in engineering education. He serves as Associate Editor of the journals Advances in Engineering Education and International Journal of Ser- vice Learning in Engineering. Dr. Harding has served in numerous leadership roles in ASEE including division chair of the
survey were also modified or removed.Following revisions, the survey contained 15 items to measure the four hypothesized dimensionsof the STV construct. The dimensions and their items are shown in Table 1. Notably,respondents were instructed prior to seeing these items that “first position” could includeemployment and/or graduate/professional school to accommodate the broad range of career pathsthat engineering students take after graduation. This language was reflected in many of the itemstems used to measure the various STV dimensions as well. Table 1 – Items Developed to Measure STV Related to Finding a First Position Construct: Item Dimension No. Item Stem
efficacy and success of the program are addressed. Each item represents a uniquedimension, or learning objective, where positive gains indicate improvements prior to and afterparticipation in the program. Results indicated positive, statistical change in four out of sixintended dimensions: students’ confidence, self-awareness, and ability to recognize theirstrengths and weaknesses were all significant, as was the students’ perception of the success ofthe program. Analysis of the remaining two dimensions, students’ preparedness to work in teamsand student’s ability to perceive the value in cooperation for group success, also indicatedimprovement in the intended direction. These results reflect an all-around improvement instudents’ perceptions of
results of Aluminum andSteel specimens for different cases of loadingꞌ, promoted critical thinking and communication.Therefore the essential motivation was to re-confirm to the well-established perception thatꞌhands-on experiences will always outperform traditional or passive learning methodsꞌ. Howeverhands-on activities should be done in a way to provide sufficient opportunities for reflection,metacognition and a deeper understanding of the principle or physical phenomena underlying theexperimental activity. Poorly designed experiments would negate the benefits of hands-onlearning. In order to explore the effectiveness of a modeling tool as a substitution for hands-onactivity the project for spring 2016 was conceived. The ambit of tasks was much
63.6 know very little about them Yes, I have searched for them 4 18.2 and perused a few Yes, I have used open educational resources in one 2 9.1 or more classes No response 1 4.5In response to a question about having ever considered using an OER in a course, 48% ofrespondents indicated that they have never used or considered OERs. Other respondentsindicated that they had used OERs, had examined them in the current semester, or had looked atthem 5-10 years previously.At the end of the survey, four open-ended questions asked faculty to reflect on
consideration (required) as well as commentary onwhether the obtained results resemble the expected results (to establish whether the studentsunderstand what they are looking for). Further commentary would explain what factorsinfluenced the results to be non-ideal (which would indicate understanding of both the systemunder study and the data collection system at issue in the lab). Grading reflects mastery of theexperimental system—the more the student explains, the better the mark.As the students master the details of project set-up, we shift to more formal reporting, with shortreports that ask for project motivation, goals and methods as well as results, and we support thisby providing examples and by providing lectures on the structure of and
of active learning practices in the classroom. As part of the analysis, welooked at beliefs about student-centered learning strategies and at classroom practices at twoseparate times (one at the beginning of the semester, or start of the professional developmentseries, and one at the end of the semester when the professional development series was ending).The study was framed by the following research question: To what extent are faculty beliefs about student-centered strategies reflected in instruction practices in the undergraduate engineering classroom?Review of Related ResearchStudent-Centered Teaching in Engineering EducationStudent-centered teaching strategies address key course concepts and skills in an engaging
conductstructured observations of in-class engagement.Our preliminary analysis suggests that building on the interests, experiences, and knowledge thatpotential CS majors bring with them to class, and connecting curricula to emerging issues cansupport the learning experiences of students traditionally underrepresented in CS. For example,in the extension of the week 2 module in which students programed agents to draw their names,students were asked to create a design to reflect something about themselves. Students drewspirals, sine waves and other geometric shapes; some students wrote their names in cursive (onewith step-by-step agent instructions, another creating curves from mathematical functions); manydrew intricate emblems or logos illustrating aspects
, educational psychology, and social work in the context of fundamental educational research. Dr. Walther’s research program spans interpretive research methodologies in engineering edu- cation, the professional formation of engineers, the role of empathy and reflection in engineering learning, and student development in interdisciplinary and interprofessional spaces. c American Society for Engineering Education, 2017 Deepening student understandings of engineering dynamics principles through industry-inspired, problem-based learning activitiesAbstractThis paper describes the development, implementation, and evaluation of project-based learning(PBL
YouTube videos followed by with quizquestions in the first offering; (2) adding Google Docs (or Google Forms) with embeddedYouTube Videos and quizzes in the next class session; and (3) including both Google Docs andinteractive videos in the third. End-of-Course Surveys consistently show that the studentsenjoyed the weekly hands-on labs. After the third class offering, an additional survey of studentexperience with the new technologies was conducted. The results reflected a positive studentexperience with the course delivery.During the third offering (2016 Fall Quarter), a survey was conducted with five students fromEE110 and four students from an Advanced Circuit Analysis course (EE 341) to assess theteaching effectiveness thus far. This
thatprovided them with additional reading material and then questions to reflect upon. Rather theypreferred quests that provided them with information and asked them to complete a task basedupon this new material.The results from quest design also aligned with some comments from students’ expectations.For instance, the correlation between point value and difficulty of assignment was a concern asstudents didn’t expect to have to do more work for a difficult task. Another concern raisedrelated to expectations was the name of the platform. It can be a bit of a misnomer that thegamification platform is called 3D GameLab which implies for students that the activities theywill be doing are all game-based. Although the platform does employ best
. This is not entirely borne out by otherassessment results. As mentioned above, project completion rates are very high. However, thequality of the final programs varies considerably, though it is difficult to judge consistently. Webelieve that this variation in quality reflects variation in student understanding of programmingand problem solving and would indicate that students may be overly optimistic about theirabilities. Quiz results provide another possible point of comparison. We have collected quizresults for questions related to problem solving but have not yet completed a numerical analysisthat would provide a comparison with student self-assessment. Our first impression is thatstudents are overestimating their abilities. There appears
the students, for them to become conscious of the needto watch the recordings before coming to the class. For these implementations of the course, thestudents were asked as graded homework assignment to take notes while watching the videosand submit those notes along with a reflection paragraph about what was learned from thelecture. They were also informed that the Blackboard tracking feature was activated to keep trackof whether they actually watched the video or not. In-class ActivitiesDifferent strategies were used for in-class activities also, and the variations among the foursemesters were as follows: SPRING & FALL 2015: A critical problem in implementing the flipped classroomtechnique during these semesters was due to
prevent reflected light, we colored the white sample organizers with black paint. At a distanceof 7.5 cm between the collimator and devices, ~11 cm from the UV lamp, the intensity is ~150±15 µW/cm2. a) b) Figure 2 a) UV lamp and collimation system as set up in the lab b) Schematic of the collimation system to ensure even curing of the chipsCuring and flushing: Carefully move the device onto a piece of black foam board and cure for3 minutes in UV light. Once exposed, a faint design resembling the mask should be apparent onthe device. If the device is over-cured, a needle will not be easily inserted into any of the inlets oroutlets and the channels will not be able to be
students’ learning level can become higher in Bloom’s Taxonomy. We emphasizedsurveying the students before and after the demonstrations with discussions to get students moreactively involved in the demonstrations. Thus the demonstrations combined with surveysencouraged them to reflect on the concepts they were learning. Our survey questions weredeveloped to improve conceptual thinking and qualitative judgment aspects of the topics versuscalculation of values.Instructors need to understand that students have different learning styles to facilitate theirlearning [17]. For example, some students prefer explanations of theory before exposed topractice and others respond well when practice is connected to theory. Thus, it is important forinstructors to
student.Each class began with the same two-stage reading quiz as was done in Fall 2014 semester(described above). The second activity, team development, required approximately five minutesand consisted of two questions for team discussion. The first question was an icebreaker,designed to be easy to answer and help the teams engage in conversation. The second questionwas designed to focus on team function and cause reflection on attributes of a team. A sample ofquestions used for each question type is provided in Table 1. After approximately four minutesof team discussion, the instructor asked a subset of the teams to quickly report to the class arepresentative answer to each question, and occasionally followed up with a brief discussion onthe
perceive learning. The students’ likelihood to employ the tutorials forfuture projects very strongly correlated to the usefulness of the tutorials for the exercises, as well.Where the tutorials apply to exercises, the students seem to believe that they would also beapplicable to other practical tasks. This very strong correlation suggests that exercises may berecognized as being practical and realistic if the tutorials’ applicability to them extends beyondthe classroom. If this were the case, then it will be important to ensure that exercises foradditional tutorials reflect real scenarios in radio engineering. One motivational aspect withinExpectancy-Value Theory is the idea of utility value, which serves to motivate learners to engagein learning
,Scientific and Cultural Organization provided 14 learning outcomes for all levels of ESD whichlay the groundwork for several organizations’ and institutions’ learning objectives: Critical reflective thinking Understanding complexity/systemic thinking Futures thinking Planning and managing change Understanding inter-relationships across disciplines Applying learning in a variety of life-wide contexts Decision-making, including in uncertain situations Dealing with crises and risks Acting with responsibility locally and globally Ability to identify and clarify values Acting with respect for others Identifying stakeholders and their
patrons submitted. Figure 11. Fusion F400-S.43The summer months also gave library staff time to reflect on the first semester and a half ofoffering the 3D printing service. After careful consideration, the library believed it could domore marketing and expand the different types of workshops offered. The marketing expansionwas planned to take place in two phases. The first phase, during the fall 2016 semester, wouldinclude developing, printing and posting flyers (see Appendix B) around campus and offeringadditional workshops on new topics. The second phase, which began in the spring 2017 semesterincluded using social media to promote the service, promoting the service by telling the personalstories behind patrons
comparatively smaller classes (~15-20 students per class for the“Mechanics for Technologists” course and ~15-25 students per class for the “Metallic Materials”course). The MMET 207 lab size was held at a maximum of 16, regardless of semester offering,since this was restricted by physical lab space. It is conjectured that the different class sizes andthe resulting teacher-to-student ratio, and hence the individual attention that could be afforded toeach student could have had an impact on student perception of the topic/instructor and the classin general (and potentially performance) as well, as was reflected in the research. Further, theimpact of missing a class/day was much more significant in the case of the summer sessionoffering. Regular semester