conceptual underpinnings of the subject. The study found thatthere were “positive correlations” between engaging in multi-modal writing tasks and end-of-unit performance.Other studies have also focused on revision as a potentially important component of students’metacognitive competence.9, 10, 11, 12 For example, in another study also involving students inChemistry, researchers had students embed a multi-modal writing task at the end of each unit, aswell as a unit assessment.9 These writing tasks differed depending upon the context of the courseand the particular instructor’s goals. But all of them had in common a “write, react, revise”component, forcing the student to revisit their writing task after input from a peer or instructor orboth. Although
Strategies Implemented in the STEP Program Three key issues negatively impact student success in engineering; these issues are especiallyrelevant to the target student population addressed in this paper. Issue I: inadequate academicpreparedness from high school. The target students, by definition, fall into this category. TheirACT scores are 2-4 points below their peer cohort admitted in the CEAS at UC. In addition, onthe UC Math Placement Test (MPT), which is used as a basis for first math course placement,the target students typically score below the cutoff for placement in Calculus I, the first course inthe engineering math sequence and a prerequisite for Physics I. Issue II: inability of the studentsto adapt socially to their new environment1
Page 26.403.6primary faculty mentor who is closely related to that student’s field of study, and returning scholars serve as role models and mentors for the new scholars. The faculty mentors meet withtheir mentees at the beginning of each semester and as needed throughout the academic year. In addition to undergraduate mentoring, faculty peer-mentoring is also an important componentof the program. The faculty mentors for the MAX program consist of a mix of professors,associate professors and pre-tenure assistant professors. The weekly planning meetings are usedfor continuous improvement of the MAX program, but they also provide an outlet for peer-mentoring and building community amongst the MAX faculty. Topics such as academic writing
. The reasons why they drop out is not well understood unless we review some of the potential causes [5]. According to the National Survey of Student Engagement from 2006, external obstacles for NT students have made it more difficult for them to develop peer relationships (study groups) at the university [10]. Professional barriers are typically found in the workplace and relate to lack of tuition reimbursement, time management, and/or lack of release time from work. Institutional barriers include lack of access to higher education, the high cost of tuition, and diminished affordability [2]. Furthermore, because adult learners also face the
have assessed various programand participant activities with an emphasis on participant communication skills (oral, written,and graphical modes) throughout various phases of the summer research experience. Tools usedfor assessment included: learning style and communication style surveys; incremental and finalperception surveys; review of weekly journal entries; peer reviews; review of communication-focused assignments (i.e., mid-program and final oral presentations, poster presentations, andvoicemail reports); and documentation of experimental procedures and results in a summaryreport. Several activities in the program involved the use of different learning styles such asgraphics-only and rapid, oral-only communication exercises. The learning
with PH382U Introduction to Nanoscience andNanotechnology, followed by BI372U Nanotechnology, Society and Sustainability, andECE383U Nanotechnology: Modeling & Simulation, (where the “U” suffixes indicate GEeligibility,) but each course can stand alone. These courses are tailored to support interactionbetween STE (science, technology and engineering) and non-STE students, who will take them Page 26.1182.2together. Two function as writing intensive courses (WIC), and there are no college-levelprerequisites for any of them. There is also a supporting follow-on 2-credit NanotechnologyLaboratory course, (currently listed as ECE410/510.)General
Ph. D. in Materials Engineering (1998) and Graduate Diploma in Computer Science (1999) from Uni- versity of Wollongong, Australia and holds Bachelor of Engineering (Metallurgical Engineering) degree from Pune University, India (1985). He has worked as a post-doctoral fellow at Carnegie Mellon Uni- versity, Pittsburgh (2001 – 2003) and BHP Institute for Steel Processing and Products, Australia (1998 – 2001). Dr. Manohar held the position of Chief Materials Scientist at Modern Industries, Pittsburgh (2003 – 2004) and Assistant Manager (Metallurgy Group), Engineering Research Center, Telco, India (1985 – 1993). He has published over 55 papers in peer-reviewed journals and conferences including a 2007 Best Paper Award
Center significantly “improves” technical writing andpresentation skills. Suggestions students provided for improving their research experiencesincluded increasing their access to instruments and equipment, ensuring more opportunities topresent at conferences, emphasizing the need for students obtaining work or teaching experience,and providing more mentoring by faculty.Mentoring was recognized by both faculty and students as a critical way to develop graduatestudents' research knowledge and skills. Benefits noted by students and faculty on meetingwithin and across thrust areas include "cross-pollination" of ideas, general awareness of research,feedback and group discussion, and peer pressure to produce work, as well as an opportunity forthem to
importantly, they all have the same goal: to learn howto do research. Second, at “brown-bag” lunch meetings, each REU student would present abouttheir project, progress, and difficulties. Third, they were required to write a paper step-by-stepthroughout the summer, including the literature review, conducting the experiments, performingdata analysis, and writing the conclusions. Last, they were required to (1) create a poster tosummarize their work, (2) present their findings at both a university-wide poster session and anengineering-oriented poster session, and (3) respond to their peers’ questions about their projects.In addition to working on a research project, participants would also attend workshops and fieldtrips related to imaging technology
scoring rubric of teacher/assessor observations of student performance/behavior) and qualitative (semi-structured interviews and rapid ethnography) evaluation techniques. 3. It is performance assessment, since it uses a scoring rubric based on Bloom’s taxonomy to classify student cognitive understanding based on writing assignments and closely follows the design of the project from inception.6An external evaluator assessed the impact of the project by observing lectures, labs, and toursand by interviewing key informants. Initially, the course interventions were implemented by theprimary investigator (PI). In year 4, after the three-year implementation phase, the new courseinterventions were tested by a new lecturer and
Technology. She received her B.S. in Engineering from Brown University, her M.S.E.E. from the University of Southern California, and her Ph.D. in Electrical Engineering from the University of Southern California in 1999. Her area of research is centered around the concept of humanized intelligence, the process of embedding human cognitive capability into the control path of autonomous systems. This work, which addresses issues of autonomous control as well as aspects of interaction with humans and the surrounding environment, has resulted in over 180 peer-reviewed pub- lications in a number of projects – from scientific rover navigation in glacier environments to assistive robots for the home. To date, her unique
programming, technical presentations and technical writing are taught in lec- ture and in online modules.This first year course has made significant use of the CNC laboratory to perform both short andlong projects. With approximately 160 students in the course in the Fall 2014 semester and 51students in the 2015 spring semester, this represents a relatively high student volume for hands-on manufacturing activities. Laboratories are run through the week with 18-19 students per sec-tion. The goal of the course is to maintain a relatively low-cost, project-intensive experiencewhile covering the appropriate content. Three categories of projects are performed during a se-mester, with approximately 10-15 CNC machining hours per student group
ElectricalEngineering, and six in Mechanical Engineering. All of these students should certify within theirmajor in the next year and have joined their peers as successful students in engineering.In this paper, we present an in-depth view of the program as well as evaluation results from thefirst two years of the program. We also showcase best practices and lessons learned in supportingat-risk students in engineering.STARS ProgramRecruitment and SelectionSTARS enrolls approximately 32 students from low socio-economic backgrounds each year ateach university. To qualify for the program, a student must be Pell Grant-eligible, graduate froma Washington high school with thirty percent or more of the students receiving free- or reduced-priced lunches, and express
interactions such as receiving and responding to feedback to build competence andsupporting the learning of their peers to support relatedness. To again promote students’ autonomy after the completion of their first projects, studentswere given the option to maintain or dissolve their teams for the remainder of the semester. Allstudents opted to maintain their teams. Students completed two more projects with these teamswith five weeks devoted to each project. Students were given increasing levels of autonomy indetermining the topic and deliverables for each successive project, further promoting students’senses of autonomy. At the end of the semester, all students were required to take a final examination perdepartmental policies and norms
understanding and ask and answer questions.For both Engineering 82 and Math 45, all PowerPoint slides and tablet writing shown in thecontrol section were contained in the video watched by the inverted section. For both courses,all students completed the same problems that students in the control section completed ashomework. In Engineering 82, students in the inverted section completed specified problemsduring class meeting time (and turned them in at the end of class) and turned others in ashomework. In Math 45, students in the inverted section used in-class time to work on anyproblems from the homework assignment and turned in all of their work as homework. As a finalnote, students in both sections of Math 45 had access to the videos; only students
significantly more likely to attend college and three times as likely to major in engineering than compared to a group of students 21with similar background and achievement in science and math. A similar study was conducted in order to evaluate Project Lead the Way (PLTW), a nonprofit organization that promotes preengineering courses in middle and high schools. This study found that PLTW graduates were five times more likely to select engineering courses compared to firsttime freshmen at fouryear 22 institutions, and their average freshman GPA was higher than their peers. Because there is
visuals. Some topics are multiple choice reading and writing more engineering Learning not well explained. No questions but no in their challenging project to enough self testing simple programs. programming problems to challenge questions in the Facebook is used language by solving synthetize their screencasts. but there is no different what they have understanding group discussion. engineering learned. and expand problems
*. 5 3. Working with teammate 5 2 4. Discuss design plans with peers 4 1 5. Using OPNET to evaluate the performance of your design plans 3 6. Writing the report 3 1 Page 26.479.9 7. Preparing a “Promotion flyer” for bidding* 2 *New or enhanced elements in the revised CPBL.2) Moving from Surface Approach to Deep ApproachWell-designed CPBL encourages students to move toward using a deeper learning
Non-linear and Iterative Problem Solving or LaboratoryInteractive engagement with frequent formative feedback:The NRC Discipline-Based Educational Research (DBER) committee “characterizes thestrength of the evidence on making lectures more interactive as positively impacting learning asstrong.” 23(p.122) In a paper commissioned by the NRC for the Evidence on Promising PracticesSTEM Education Workshop,28 James Fairweather writes “The largest gain in learningproductivity in STEM will come from convincing the large majority of STEM faculty thatcurrently teaches by lecturing to use any form of active or collaborative instruction.” A recentmetaanalysis showed that classes with active learning outperformed classes
grants in both the public and private sectors, and served as an external reviewer for doctoral dissertations outside the U.S. She publishes regularly in peer-reviewed journals and books. Dr. Husman was a founding member and first President of the Southwest Consortium for Innovative Psychology in Education and has held both elected and appointed offices in the American Psychological Association (APA) and the Motivation Special Interest Group of the European Association for Research on Learning and Instruction. Page 26.50.1 c American Society for Engineering Education, 2015 A group
general and engineering in particular almostexclusively focus on students of color. In effect, this research studies socioeconomic class bystudying race and ethnicity. While many low-income and first-generation students are also racialand ethnic minorities, not all students of color experience socioeconomic inequality. Moreover,this analytic frame misses many poor white students who do not have access to the samenetworks and support groups as do their peers who are students of color (e.g. MinorityEngineering Programs, Society of Hispanic Professional Engineers, National Society of BlackEngineers, etc.).In fact, socioeconomic inequalities, as distinct from racial and ethnic inequalities, rarely appearin definitions of diversity in STEM education
manufacturing challenges, including life cycle engineering methods, manufacturing process performance modeling, and sustainable engineering education. He has received funding from DOE, NIST, NSF, the U.S. Army, the Pacific Northwest National Laboratory, Oregon Metals Initiative, and industry. His work has appeared in more than 60 peer-reviewed proceedings and journal articles. Page 26.398.1 c American Society for Engineering Education, 2015Constructionist Learning for Environmentally Responsible Design Page 26.398.2 Constructionist Learning for Environmentally
because itis founded on evidence. Past studies have demonstrated the effectiveness of the DesignHeuristics method in concept generation [25, 32]. We have also conducted preliminary studieson the use of Design Heuristics in the engineering classroom, and demonstrated its effectivenessas pedagogy 23, 24. This research base provides a solid foundation for our project because it isbased on peer-reviewed, scientific studies. Many professions have advocated the use ofevidence-based practice in their fields, including medicine, psychology, and education 41-44. Ourproposed project provides an application of “evidence-based practice” in engineering educationto benefit students by providing state-of-the-art education in design
attendconferences or work on developing manuscripts felt that their experience helped toimprove their communication skills.8) All of the students interviewed indicated that the URE was a worthwhile experience,and the majority of the students would recommend that their peers participate in an URE.From these results, it can be inferred that having an URE will usually help participants todevelop their applied engineering skills. There is also an opportunity to greatly impactcommunication skills through an URE, particularly if the URE encouraged and promotesstudents to participate in conferences and the development of manuscripts. For studentsinterested in graduate school, the URE does offer participants a chance to experience theresearch process, as well as a
, students in online learning conditions performed better than those receiving face-to-face instruction.”4 However, subsequent meta-analysis argued that the report does not pertain tofully online, semester-length college courses.25 Indeed, as compared to the traditional face-to-face environment, some evidence suggests that not all learners do as well in fully online courses.Using course grade and course completion as dependent variables, a study based on researchconducted at community and technical colleges across the state of Washington (on 500,000course enrollments and 41,000 students) found that in aggregate online students performed worsethan their peers, with some student groups—especially males, younger students, students withlower levels