sometimes needed to be ‘coached’ to respond asrequested. That is, as the semester wore on and / or significant project or homework assignmentswere looming, students needed to be encouraged to continue responding weekly to the questionsindicated above.There were two faculty teaching the course, who would alternate delivering lectures. Although Page 15.230.5the other faculty was not actively involved in this research, he participated wholly. In somecases, data analysis involves only one or the other faculty, but in most cases, data from both ofour lectures is analyzed. As examples, data analysis regarding how many stories were told, andof what type
Division of the American Society for Engineering Education; chair of a new IEEE program on Early Career Faculty Development; editorial board of IEEE/HKN The Bridge magazine; and ABET EAC program evaluator.Dr. Robert W. Hasker, Milwaukee School of Engineering Rob is a professor in the software engineering program at Milwaukee School of Engineering, where he teaches courses at all levels. He was recently at University of Wisconsin - Platteville, where he taught for 17 years and helped develop an undergraduate program in software engineering and an international master’s program in computer science. In addition to academic experience, Rob has worked on a number of projects in industry ranging from avionics to cellular
ofincorporating SCL practices into course implementation and provides clear examples of howthese strategies could be more easily incorporated into existing content to improve studentlearning.AcknowledgementsThis project is funded by the NSF-EEC-1825669 and the CRLT Gilbert Whitaker Fund for theImprovement of Teaching funded by the University of Michigan Office of the Provost.References[1] M. Stains et al., “Anatomy of STEM teching in North American Universities,” Science, vol. 359, no. 6383, pp. 1468–1470, 2018.[2] K. A. Nguyen et al., “Students’ expectations, types of instruction, and instructor strategies predicting student response to active learning,” Int. J. Eng. Educ., vol. 33, no. 1, pp. 2–18, 2017.[3] A. M. Kim
andcommunicating their results. Besides, students are asked to meet with professionals in industry who cantell them about the usability of the course content. For example, they have to ask what open-endedproblems they face in their company and its problem-solving process.Similarly, they have to ask professionals about their decision-making process and compare it with thosetaught in the class. After their meetings, they report what they found on a discussion board, andstudents must reply. Students also have to engage in problem-finding through an iterative process. Theyget feedback from their peers to build a better problem definition and project goal submitted to theinstructional team after several weeks. The course ends with a summative assessment in
following examples: • Why can’t review solutions be posted on line? (They are.) I would only take a picture with a digital camera then print it anyway. • Page 14.825.10 Is there a reason that the quizzes are worth more than the tests or the capstone project? • How can I see the readings as more of a simple task than an obstacle? The text is very dry, so I seem to become impatient with it…. • Is there going to be an opportunity to earn extra points? • How can I use this information to help me with my major/I think that you already answered that question. • What will the final be? (How long, format
and monitor grader reliability.An SBG CourseSBG was initiated in a large (N = 1500-1650) first-year engineering (FYE) course at a Mid-western U.S. university in Spring 2013 and has undergone revision since. The FYE course in thisexample was required for all engineering students. In this course, students learned how to useMATLAB to solve engineering problems as well as represent and model data. For the first two-thirds of the semester, students completed weekly problem sets. For the remaining third of thesemester, the students completed weekly milestones associated with a team-based data analysisand modeling project. Students met twice a week for 110 minutes in a classroom designed foractive learning.The organizational structure of the course
global issues such as those pertaining to sustainability.Dr. Melani Plett, Seattle Pacific University Prof. Melani Plett is a Professor in Electrical Engineering at Seattle Pacific University. She has over sev- enteen years of experience in teaching a variety of engineering undergraduate students (freshman through senior) and has participated in several engineering education research projects, with a focus how faculty can best facilitate student learning.Prof. Rebecca A Bates, Minnesota State University, Mankato Rebecca A. Bates received the Ph.D. degree in electrical engineering from the University of Washington in 2004. She also received the M.T.S. degree from Harvard Divinity School in 1993. She is currently a
ScienceFoundation’s ADVANCE program (http://www.nsf.gov/crssprgm/advance/), which seeks toincrease the participation and advancement of women in the sciences and engineering.ADVANCE projects have resulted in a variety of dual-career hiring programs at institutions suchas Virginia Tech (http://www.portal.advance.vt.edu/index.php/tags/dual-career), the Universityof Nebraska (http://advance.unl.edu/), Rutgers (http://sciencewomen.rutgers.edu/Dual-Career_Initiative), and Michigan State University (http://worklife.msu.edu/dual-career).Strategies and Stories from Couples Who Have Recently Found Their Two-Body SolutionsThis paper is intended as a companion piece to a panel discussion on dual-career job search atthe June 2015 American Society for Engineering
Paper ID #27138Adding the Extra 5 Percent: Undergraduate TA’s Creating Value in the Class-roomMrs. Alicia Baumann, Arizona State University Ali Baumann received her master’s degree in Electrical Engineering from the University of Wyoming before working as senior systems engineer at General Dynamics C4 Systems. She is now part of the freshman engineering education team in the Ira A. Fulton Schools of Engineering at Arizona State Uni- versity. Currently, she focuses on enhancing the curriculum for the freshman engineering program to incorporate industry standards into hands-on design projects. She is an instructor for the
Students, Linc. Fisch (ed.), “New Directions for Teaching and Learning,”no.66, Summer, 1966, pp.30-40.7. Organiz. for Economic Cooper. & Development (2003), “International comparison of math, reading, and science skills among 15-year olds” OECD, (http://www.infoplease.com/ipa/A0923110.html). Sept. 2005.8. Balfanz, R., and Legters, N., “How many central city high schools have a severe dropout problem, where are they located, and who attends them?” Harvard University Civil Rights Project, Harvard University, Cambridge, Mass, 2001.9. Barnett, L., and Greenough, R., “Regional needs assessment 2000.” Northwest Regional Educational Laboratory, Portland, Ore., www.nwrel.org/planning/ rna2000.html Accessed Sept
goals of the Thayer 2.0 method was to level the time survey data[Figure 1] so that students perform as well or better as previous semesters with decreased timespikes and more consistent and predicable preparation. It was understood that regardless of themethodology used, spikes would always occur before exams when students increase study andprior to the submission of lab reports and projects for which students were not afforded classtime. However, the authors hoped that, with Thayer 2.0, homework spikes would be eliminated.Unfortunately, this method was unable to eliminate spikes in time spent outside of the classroomfor homework; despite the fact that it allotted classroom time for homework completion. (Figure23) In some cases, students did
performance.Table 7: Opportunities for Implementing the 8 Leadership Behaviors 1. Assignments: the author gives two types of assignments (1) in-class and (2) outside projects requiring in-class presentations. In-class assignments are done by individual students and in group/teams 2. Class Exercises: the author gives students a number of class activities and exercises. Class activities and exercises are done by individual students or in groups or teams 3. Student Presentations: throughout the semester, students give presentations with various assignments, either individually or as the spokesperson for a group/team 4. Exams: three exams are given during the semester 5. Student Class Participation: throughout the semester, students are
focus involving mathematical modeling. Whatsets the first-year engineering courses apart from traditional engineering classes is instructionthat requires students to not only solve technical problems, but apply and adapt engineeringconcepts in mathematical models while developing professional skills - the ability to work inteams and translate mathematical models into a written procedure8.B. Model-Eliciting-Activities (MEA)Typical engineering classes are exam-based, project-based, or a combination of these. Seldomdo engineering classes provide sufficient activities that involve real-world problem solving.Therefore, there is a need for engineering classrooms to increase students’ exposure in suchactivities. One method for fulfilling the FYE
projects and written labreports. To test the students’ power of observation, I will devote one lab to tracing water lines in a laboratory anddiscussing related issues (e.g., Was there a floor drain?). To get them thinking “out of the box”, we will discussalternative methods to verify an instrument reading. I often tell the “Angels on a Pin” story4. To strengthen theirskill at estimating values, we will count ceiling tile or concrete blocks to determine the dimensions of aclassroom. None of these traits could be demonstrated on a timed test, so get creative on how students candemonstrate those estimating skills other than through traditional testing.I try to build the exam well ahead of the exam day. I let it rest overnight so I will read it with
Arkansas. He is also a charter faculty member in ASU's multi-disciplinary Ph.D. in Environmental Science Program. He has been very active in research and development in the field of semiconductor thin films, particularly in the fields of electrodeposition and chemical precipitation deposition of such, with a major emphasis on undergraduate instruction and utilization of undergraduate research assistants in the field. He has had numerous research projects sponsored by agencies such as NASA, the National Science Foundation, the National Institutes of Health, the Environmental Protection Agency, the Arkansas Science and Technology Authority, and industry. He also has played an active, senior
released in minimum snippets to guide you through a multi-stage task).. Wu is essentially describing methods to accomplish the progression loops. The user would start with an easy task and would progressively build up while within the flow channel. The triggers are represented by classroom activities that would induce the students to continue climbing the steep path of knowledge. The activities should provide positive feedback. The activities (one-minute papers, short quizzes, formal exams, projects) must be given at exactly the right time in terms of students’ ability and motivation to serve their intended purpose. Overview of MOOCs One of the hardest challenges that is faced by the faculty
ininstructional activity may influence these student perceptions, both through the quality withwhich the task is carried out and via the social influence of projected confidence [45]. Therefore,TSE can be instrumental in enabling TAs to meet student expectations and also in strengtheningthe beneficial outcomes that emerge from successful interactions with them.Our study focuses on the role of TSE in engineering classrooms that are managed by TAs anddiffers from existing studies in several ways. First, the research on TSE in higher educationdescribed above has relied on teachers’ self-report of their own sense of self-efficacy. Researchexamining links between teacher self-efficacy and student perceptions is limited [46] and to ourknowledge has not been
the most popular major ofchoice among these students—engineering. It also looks at these influences through the lens ofpositive emotional engagement or how students feel as they engage in their studies with theintention of identifying strategies that can help international students thrive in their engineeringstudies in the U.S.MethodsQuantitative research methods were used to analyze ordinal, Likert-scale data from surveysdistributed to undergraduate engineering students. This study is part of a larger, single-institutionresearch project that evaluated the connections between various forms of support (from faculty,TAs, and peers) and multiple forms of course-level engagement (attention, participation, effort,positive and negative emotional
evidence related to the knowledge gains associated with reflection activities in engineeringeducation, and it would be powerful to see the information about knowledge gains embedded inmore comprehensive research designs that connect the knowledge gains students report, thereactions they have to reflection activities, and more distal performance-based indicators oflearning (e.g., exam performance, design project success, job acquisition, employer satisfaction).We see the work reported here as helping the engineering education community build thecapacity to ask such questions.ContributionsThis work contributes to the conversation about the role and value of reflection in engineeringeducation. Specifically, the work has theoretical, empirical and
coursesubject. Using the course LMS to reinforce this education with items to read, tasks to complete,and a means of electronically collecting signed pledges of academic honesty is also a goodpractice across academia. However, some tools discussed here may not apply in all courses. Forexample, the randomized algorithmic questions work best with "bite-size" quantitative problemsrather than long multi-stage problems or more qualitative questions. Products such as Turnitin orSafeAssign can be helpful for evaluating students' writing assignments, but they won't help withan assignment to write code for a computer program to run. Some schools have developedmechanisms to evaluate coding projects for impermissible similarity, but that may not be capableof