pursuing one. To serve this population, and enable theirrich practical work experiences to enhance the education of our traditional on-campus students,we are implementing the following scenario.Local technical workers stay in their offices at lunch-time sitting at computers armed withheadphones and microphones to attend, and participate in, an electric circuits class via aninternet connection. Other students, on the university campus, sit in a traditional classroomsetting augmented with room microphones. Both groups of students view the electronicwhiteboard that is generated by the instructor writing on a Tablet PC projected to the campusclassroom through an LCD projector and to the off-campus students through Adobe Connectsoftware. Two students
tools, toolevaluation and web information seeking.2. Literature Review2. 1 Novice Researchers’ DifficultiesNovice researchers in a new field usually face various kinds of challenges. Hockey7 portrays thefirst year of PhD as the most crucial and difficult period because students “initially encounterand experience intellectual and social processes at their point of maximum novelty”(p1). Muchresearch has been done about the challenges and issues first-year PhD students or junior researchstudents face, including social isolation, productivity, financing, discrepancies with advisers, andunequal accesses to peer culture and academic culture7,9–13. An important area of doctoral studythat has received little attention is the development of
AC 2012-5469: INTERDISCIPLINARY PEDAGOGY FOR PERVASIVE COM-PUTING DESIGN PROCESSES: AN EVALUATIVE ANALYSISDr. Lisa D. McNair, Virginia Tech Lisa McNair is an Associate Professor in the Department of Engineering Education at Virginia Tech where she serves as Assistant Department Head for Graduate Education and co-directs the Virginia Tech Engi- neering Communication Center. Her research includes interdisciplinary collaboration, communication studies, identity theory, and reflective practice. Projects supported by the National Science Foundation include: interdisciplinary pedagogy for pervasive computing design, writing across the curriculum in stat- ics courses, and a CAREER award to explore the use of e-portfolios
; ≠ familiarize the students with basics of engineering design; ≠ promote interaction with engineering faculty and staff; ≠ develop technical writing and communication skills.2. Course OrganizationThe course is scheduled as a 6 hour laboratory, meeting three times per week for two hours persession, with four faculty instructing. As the course supports a large number of students (96students at most in the current organization), and large class sizes would limit student-facultyinteraction, the students are distributed into six approximately equal smaller groupings. On anygiven day of the week, these six groups are distributed among three classrooms and activities,each of which has a different emphasis: ‘learn’, ‘plan’, and ‘do’. The two groups in
State was theemphasis on more active engagement of students in their own learning. The general educationcurriculum has always been and still is defined by skills and content areas or “knowledgedomains,” constituting a substantial 45 credits of the university-wide degree requirements.These include writing and speaking, quantification, health and physical activity, natural sciences,arts, humanities, social and behavioral sciences, and international and U.S. cultures. The new,Faculty Senate-approved requirement, however, stipulated that active learning elements shouldbe incorporated into the delivery of all courses carrying general education credit, namely activeuse of writing, speaking and other forms of self expression; opportunity for
Copyright 2003, American Society for Engineering Educationcompared to their peers in foreign countries. Alienation from engineering and science begins earlyfor many students who might eventually, in their maturity, be active decision-makers in policy.High technological advances require engineers with satisfactory levels of math and science.Students are rarely motivated to appreciate the value of studying math and science. Math, scienceand engineering courses are intellectually more demanding and require more application and studythan some other fields of study. Our modern society needs problem solvers. Mathematics, scienceand engineering are integral part for problem solving methods. Improving the problem solvingskills will improve the quality of
2003, American Society for Engineering Education Liberal Arts Electives 33.8% Figure 2. Percentage of Average Curriculum Allocated to Liberal Arts Topics Liberal Arts Elec. 1 Liberal Arts Elec. 2 Liberal Arts Elec. 3 Liberal Arts Elec. 4 Liberal Arts Elec. 5 Liberal Arts Elec. 6 English Comp. I English Comp. II Speech Comm. Technical Writing Economics Open Elec. 1 Open Elec. 2 Open Elec. 3 Open Elec. 4 History Philosophy/Religion 0.0% 20.0% 40.0% 60.0
, and scholarly work. Teaching can be evaluated on the basis o fstudent evaluation, peer evaluation, improvements in teaching style, writing teachingsupplements for a course, and other similar activities. Page 7.165.8 Proceedings of the 2002 American Society for Engineering Education Annual Conference & Exposition Copyright © 2002, American Society for Engineering EducationService to the Faculty can be judged based on the willingness and participation of teachers in theimprovement of the Faculty both in the academic areas as well as improving the image of theFaculty. Helping in the preparation of proposal for
professionals to maintain the countries’ relevance in these fields, thus anannual increase in the number of students who graduate with a STEM degree is required to meetthis demand. These calls also emphasize the need to increase graduation rates for studentsbelonging to groups that are underrepresented in STEM, as they currently leave STEM majors athigher rates than their represented peers. Undergraduate research experiences are frequentlyimplicated as a means for increasing interest in STEM fields and STEM graduate programs, andare correlated to students persisting to graduation. While research experiences can positivelyinfluence persistence in STEM fields, there are inequities in who gets to participate in theseexperiences. The limited number of
with little to noprior data science, computing, or math background. Courses use both synchronous andasynchronous delivery methods to maximize learner flexibility while providing opportunities toengage in real time with instructors and peers. All courses emphasize projects to provideopportunities for learners to apply courses concepts to real-world problems. A terminal 2-semester capstone course incorporates all three disciplines into a final culminating team project.This paper will focus on the conceptualization of the computer science (CS) portion of thecurriculum. As an applied master’s program, much of the CS curriculum takes inspiration fromindustry frameworks such as CRISP-DM and Agile project management to contextualizeconcepts. The
-curricular and extra-curricular activities. The knowledge provided byspeakers will contribute to students making informed decisions when they decide on the fieldthey pursue.II.1.B. The Professional Skills dimension infuses career-based skills to ensure professionalsuccess and increased employability. The National Soft Skills Association study found that only15% of job success is based on technical skills, and the rest are based on soft skills [21]. TheESS students learned career and professional skills as early as their first semester at communitycollege. Skills, including oral and written communication, critical thinking, problem-solving, andteamwork are incorporated into the curriculum and assessed through resume writing, mockinterviews, and
, to serve as a lecturer in the department of Materials Science and Engineering. Here, she is responsible for teaching the junior labs as well as providing instruction on writing in engineering.Prof. Caroline Cvetkovic, University of Illinois Urbana-Champaign Caroline Cvetkovic is a Teaching Assistant Professor of Bioengineering at the University of Illinois at Urbana-Champaign, where she instructs courses in quantitative physiology, biofabrication, and transport. She earned her B.S., M.S., and Ph.D. in Bioengineering at the University of Illinois at Urbana-Champaign. She then completed a postdoctoral fellowship in the Center for Neuroregeneration and Department of Neurosurgery at the Houston Methodist Research
should make use of some of the math and science materials presented in the calculus and physics and chemistry courses so the student could see the need for a strong math and science background. 5. Modern computing applications were needed with appropriate computer skill development. 6. Students should learn to work effectively in groups; especially with other students who they initially did not know and who have different intended majors. 7. Technical report writing should be introduced. 8. A freshman faculty and coordinator would need to be established so that consistency in the program could be maintained. Faculty need to be good at working with students
authors have found that itis preferable to differentiate among team members based on the ratings assigned by teammates,or at least to use the differentiation to support grade decisions in borderline cases. Gradingcriteria can be based on specific project tasks or on general features of the problem such asteamwork, writing/documentation, presentation, etc. This self-rating technique provides a meansfor converting qualitative performance of team members into a subjective but nonethelessquantitative measure, and it is especially useful for verifying student complaints of unevendistribution of work. Whatever the mechanism, care must be taken to foster a cooperative, notcompetitive, atmosphere in the classroom. We have found this method to be
design process. 4 This approach aligns with Michigan Robotics values ofrobotics with respect by teaching students how to engage with communities to make sure designsare addressing diverse needs and can be used by the communities for which they aredesigned.2.4.1 Learning ObjectivesThe objectives of these labs are to: 1. design and evaluate open-ended questions to engage with stakeholder perceptions, 2. demonstrate active listening skills to support understanding a diversity of stakeholders, 3. use interview data to write a problem statement and needs statements, 4. define solution neutral system design requirements that will inform the design solution, 5. apply design ideation methods to support robotics design concept development
mentoringinteraction systems: • Microsystems: Direct, person-to-person interactions, such as those between graduate students and their peers, faculty, staff, and family. • Mesosystems: Interactions between different microsystems, like departments and colleges, which can either support or conflict with each other. • Ecosystems: Networks that influence development at a broader level, such as Graduate Schools, governing boards, and communities. • Macrosystems: Larger societal factors, including historical, political, and economic influences. When considering race, gender, and other social factors, research shows that many STEMmentoring programs in academia operate from a deficit-based perspective [19]-[25]. McGee
variety of ways that they are or couldbe engaged in the course [6]. And finally, after a year-long experiment, it was concluded thatrequiring students to submit homework for a grade did not improve exam performance overstudents who were not required to submit homework for a grade [7].The course is a four-credit course taken by students in their second-year. It is taught in a combinedlecture/lab environment with three meetings a week for a total of five contact hours. Although thecourse has been taught by seven different instructors over the years, it is essentially a team-taughtcourse. Instructors use the same textbook and syllabus, they collaborate on writing and gradingquizzes and exams, and they use common grading rubrics. Over the years
performance are shownbelow in Table 2 (this is directly taken from [8-9]). Referring to Table 1, it would be interesting touse the parameters from ‘measures of performance’ column as a measure to know what is the aimof the research that the faculty members are involved in. Knowing these measures, would behelpful in determining which type of scholarship is being associated with the research process. Table 1. Boyer’s model of scholarship [8-9] Type of Purpose Measures of PerformanceScholarshipDiscovery Build new knowledge - Publishing in peer-reviewed forums through traditional - Producing and/or performing creative work within established
positions with the social hierarchy and theirengineering teams. However, these identities were only accessible to majority students andunderrepresented students were often left out of the team dynamics. This study emphasized thebest practices of promoting teamwork with diverse students including: (1) teaching aboutdiversity, especially teaching how to respect one’s teammates and the client’s needs; (2)organizing teams to reduce conflict, balance gender composition (or have all-men or all-womenteams), and improve trust; (3) incorporating peer feedback throughout the duration of the teamand using it to mediate disrespectful interactions and unacceptable practices; (4) including a widerange of teamwork expectations in grading practices; and (5) better
allworking professionals, most with considerable to extensive project management experience.These, like nearly all adult learners, want education that is authentic, relevant, immediatelyapplicable to their work, and substantiated by experiences of their own or credible peers [10],[11], [12], [13]. As the authors have taught this course over the past eight years, a shared,consistent goal and commitment to our students has been to make the course “authentically real,”speaking directly to the experiences and learning goals of these project-experiencedprofessionals. Following is a brief description of a few key ways in which our teaching ofeffective, real project management has evolved.An Emphasis on Living Order“Living order” is a concept that the
and how theseactivities helped them improve their research skills. Several students reported improvedcommunication skills in the context of the research they participated in, particularly throughreading, writing, and vetting of ideas through discussion.Seven of the nine participants mentioned reading peer reviewed journals. Since the journal was ascientific journal and they read it within the context of a research project, they saw this activityas a research activity. They read journals to learn about the topic that they were working on, to 11learn what others had done, and to apply what they had learned in their own experiments.Reading, however
, prediction of the effects of materials processes, and designof experiments to determine the feasibility of engineering tasks. To attain success on theindividual examinations, students must demonstrate that they can synthesize fundamental contentknowledge and critical thinking skills, and apply these to unfamiliar situations based on real-world problems.Peer-assessment, self-assessment, and self-reflection on learning processes are emphasizedthroughout the semester. Teaming skills are assessed through peer- and self-evaluations at theend of each project. In the teaming evaluations, students provide a numerical rating forthemselves and their teammates, and they write self-reflective comments on teaming-relatedlessons learned during their project
mid-western university.7 To flip lectures, we utilizedproblem-centered learning combined with group discussions and contextualized lecturing duringregular in-class sessions. Students were instructed to know theories and content by watchingonline video modules before coming to the class, and solve problems with peers inside theclassroom. The design of the instructional model drew on an established framework for activelearning, which includes the Four Practices: (1) anticipating, (2) monitoring, (3) connecting andcontrasting, and (4) contextualized lecturing. The model has been implemented, and willcontinue to be modified through iterative cycles.8In our previous report, we used design-based-research (DBR) methods to study how the
]. Likewise, through the use of course modulescovering topics on self-directed learning [9]-[10]; problem-based curricula [11]-[12];engineering projects [13]; journaling [14]; and reflective writing [15], instructors have monitoredand assessed changes in students’ SDL skills. These approaches were described in studies suchas Fellows et al. [3] that entailed a range of classroom and project activities designed accordingto the Hersey and Blanchard’s Situational Leadership Model [16]. During the activities, students’SDL ability was assessed in Four stages - Dependent (stage 1), Involved, Interested, and Self-Directed (stage 4). Ulseth [17] explored the experiences of students taught using Problem-BasedLearning (PBL) to gain in-depth understanding of the
inAssistive Technology and Engineering (ELeVATE).Students are active participants and innovators in projects which address real-world problemswith systems-level engineering efforts, serving as a natural attractor to the discipline. Facilitatingthe programs collaboratively is in itself a best practice; it allows for an enhanced cohort, peer-to-peer mentoring, and maximization of resources for a sustainable training program designed toincrease the retention and promotion of underrepresented undergraduates in STEM disciplines.Though ELeVATE will only begin in the summer of 2011, its foundations are deep rooted in thesuccess of QoLT’s REU program which has advanced underrepresented students through theSTEM pipeline and delivered a promising model
be used forindividual, group, or full-class learning experiences. If the students come well-prepared and theexercises are well-designed, then it is hoped that students will leave the face-to-face time with adeeper understanding of the core concepts, one which they have worked to develop through theirown efforts with the support of their peers and the instructor.The inverted classroom approach has a basis in three well-known principles of the science oflearning: (a) Vygotsky’s Zone of Proximal Development 1, (b) Bloom’s Taxonomy of Learning 2,and (c) “How the Brain Learns” and the retention of core material 3. Lev Vygotsky introducedthe concept of a zone of proximal development (ZPD) to describe the intermediary state betweenthe things a
accommodations, and others were very different. Both groups faced difficultyconversing with instructors and getting critical needs met, like access to recorded lectures.Students also witnessed and experienced ableism regularly [8], which often discouraged themfrom asking for support, a finding that was similarly supported by Goodwin [9]. Someaccommodations frequently failed, like the peer note-taker accommodation, which preventedregistered disabled students from utilizing resources that the university agreed they need tosucceed. This supported the data that there is a measurably lower chance of disabled engineeringstudents using their accommodations compared to their non-STEM peers [10]. Students withoutaccommodations had to decide which supports were
increased by 23% between2008 and 2013, and then increased by another 37% between 2013 and 2018 [16]. The AmericanSociety for Engineering Education (ASEE) reported another 20% increase in the 2020-2021academic year. The top four degrees granted in 2021 were Mechanical Engineering (23.8%),Computer Science (16.2%), Civil Engineering (9.3%) and Electrical Engineering (9.2%) [17, 39]. The National Center for Education Statistics (NCES) reported that in the 2007-2008academic year, 41.9% engineering and engineering technology bachelor’s degree recipients earnedcredits for Writing beyond English Composition with median of a 3 credits; and 24.5% earned a
qualitative in nature, and our chosen research methods reflectthat. Rather than conduct a quasi-experimental design with a selection of GTAs participating incase analysis and others not, we instead used mixed qualitative and quantitative methods tocollect and analyze data solely from participants who experienced the use of case analysis in theirfirst semester of graduate school. This paper focuses in particular on two quantitative measures(survey data and student performance) and on two qualitative measures (case discussion recordsand reflective writings). We give a summary of the data within each of those four categoriesseparately. However, the nature of the research questions is such that a more significant analysisinvolves integration of those
Page 12.1198.3engineering career, and are within the top 25% of their class, or may be academically disadvantaged with“excellent” grades in weak K-12 science and math curriculum. CARE serves as a catalyst for higher academicperformance to ensure that students are academically prepared to enter a quality engineering program when they 2graduate from high school.Project CARE targets two groups-Pre-11th (CARE I) and pre-12th (CARE II). The goal of CARE I is to enrichacademic preparation in college algebra, engineering learning tools, and technical writing/reading of high schoolpre-11th grade students from the selected regions. The outcomes of CARE I are to: (1) increase the average score