proposals from faculty, industry connections, and othercollaborators in areas relevant to the discipline prior to the start of the fall semester. Proposerspitch their project ideas to the students during the first week of the semester. Students then ranktheir interest in the projects, and teams are selected based on the students’ reported level ofinterest. Typically, students are assigned to either their first or second project choice (~95%),with few instances (<5%) of students assigned to their third choice. Instructors also considerseveral other factors when assigning teams, including a student's self-assessment of the skillsthey can bring to the project, experience gained from experiential education (i.e., co-ops orinternships), and
the future workplanned for this project. 5. Acknowledgements The research presented in this paper was supported by an HSI grant from the NationalScience Foundation (Grant number DUE-1832536). The authors would like to thank all projectstaff, student assistants, and peer mentors. The authors would like to acknowledge projectevaluator Mr. Kirk Vandersall from Arroyo Research Services, and data support from the Officeof Assessment and Institutional Effectiveness at California State University Fullerton for theircontributions to this research.References 1. ACT and Excelencia in Education. (2015). The Condition of College & Career Readiness – Hispanic Students. Retrieved February 8, 2018, from http://www.act.org/content/dam
engineering from Lehigh University in 1998, and his M.S.C.E.P and Ph.D. in chemical engineering from the Massachusetts Institute of Technology in 2000 and 2003, respectively. His primary areas of interest are game-based education, engineering ethics, and process safety education.Dr. Scott Streiner, Rowan University Dr. Scott Streiner is an assistant professor in the Experiential Engineering Education Department (ExEEd) at Rowan University. He received his Ph.D in Industrial Engineering from the University of Pittsburgh, with a focus in engineering education. His research interests include engineering global competency, cur- ricula and assessment; pedagogical innovations through game-based and playful learning; spatial skills
consulting approach in solving ”messy” problems or seizing organizational opportunities. He is currently pursuing an M.S. degree in Organizational Performance and Workplace Learning from Boise State University where he also serves as a member of the Marginalized and Cross- Cultural Research & Design Learning Tech Group, or ”MarCC Lab,” under the direction of Dr. Lisa Giacumo.Dr. Lisa A. Giacumo, Boise State University Lisa Giacumo is an assistant professor of Organizational Performance and Workplace Learning at Boise State University. She teaches courses in instructional design, needs assessment, and e-learning. Her research interests focus on the use of data, instructional design, evaluation, and a systems-view to
’ intentions [18-22]. Ahighly cited multi-institutional study [23] assessed why engineering students who had expectedto be successful left the program. The top identified barrier was loss of interest in engineering. Inthe previously-referenced longitudinal study on engineering retention, Seymour and Hewittidentified the level of interest as “salient” to career preferences. Finally, an investigation at theUniversity of Pittsburgh [24] additionally documented loss of interest in engineering as a majorcause for leaving the engineering program.2.3 Measurement of Interest SubdomainsMany theorists have historically separated the construct of interest into two separate domains:situational interest and individual interest. Situational interest is immediate
presentation The “curveball” Document response in final Incorporate consideration of risks into project proposal project planning Deeper consideration of stakeholder viewpoints Contemplation of social impacts Project presentation Oral presentation to class Building team presenting skills Assessment skills (peer-grading) Project proposal Proposal document Writing skills
cross-disciplinary backgrounds of participants in the learning club led to discussions ofdiverse perspectives on experiences of marginalization in academia and the learningenvironment, as well as modes to confront and mitigate stereotype risks to form a more inclusiveclassroom. Moving forward, we recognize the need to assess learning club outcomes such asquality of engagement, relevance of material, and incorporation of material into attendees’pedagogical frameworks. Future work should include regular assessments to gauge theattainment of learning club outcomes.Chapter 4: Adjusting chapter goals and activities through iterative reflection (September2020-present)Despite continuously honing our event offerings and adjusting to a consistent
somewhat at-odds with the more “realistic”challenges that they may face in their design or lab courses. Additionally, in the pandemic-necessitated paradigm of emergency online instruction, methods of assessment beyondtraditional exams have become more emphasized, both as a way of keeping students engaged bygiving the material relevance and of ensuring that the work that they present is their own whenso many solutions are available online.Our research team has been studying engineering judgement [2] the professional practice used todevelop mathematical models for design and analysis, in undergraduate engineering sciencecourses. As engineering judgement is almost synonymous with expertise, our research team hasbeen investigating how novice
program grows. 4. Reusability: Create, maintain, and share program material on the PINC website to enable other institutions and educators to recreate similar interdisciplinary peer mentoring programs. The following five areas will be prioritized for the peer mentoring program evaluation: 1. Conducting studies with larger sample size will be one of the first tasks for strengthening the evaluation. 2. The peer mentor roles and essential relationship attributes that have emerged from the qualitative study will be investigated further via continued qualitative interviews and focus groups with peer mentors, mentees, and course instructors. Instrumentation will also be developed to allow quantitative assessment
Schools of Engi- neering, The Polytechnic School. He earned a B.S. in Materials Science Engineering from Alfred Univer- sity, and received his M.S. and Ph.D., both from Tufts University, in Chemistry and Engineering Education respectively. His research investigates the development of new classroom innovations, assessment tech- niques, and identifying new ways to empirically understand how engineering students and educators learn. He currently serves as the Graduate Program Chair for the Engineering Education Systems and Design Ph.D. program. He is also the immediate past chair of the Research in Engineering Education Network (REEN) and an associate editor for the Journal of Engineering Education (JEE). Prior to joining
associated with lower degreeattainment, and that this association might be stronger among female students. MethodThis study examined a longitudinal database of survey responses, demographics, and degreeattainment to assess the importance of perceived psychological cost in the first year ofengineering school.ParticipantsParticipants were 734 (77% male, 91% white) first-time, full-time engineering students at a largemidwestern university who matriculated in fall of the years 2013 (N = 371) and 2014 (N = 363)and completed the GEARS survey at the beginning (T1) and end (T2) of the fall semester oftheir first year in the program.MaterialsPerceived Psychological Cost Survey. The perceptions of psychological cost
assessed on how they developed andvetted ideas as a class, and not the canonical correctness of the ideas themselves. The course,then, has no textbook or lab manual, but a range of simple materials, an initial question, andextended weeks of inquiry. The course is more fully described in [13, 16].In some inquiries, the opportunities for engineering were obvious, particularly with respect tonovel experimental designs [17] and in developing physical representations of models [18, 19]. Inthe inquiry that we describe here, however, the investigations were either largely theoretical or thedata collection was so readily obtained that there was no need for deliberate attention to designpractices. And yet in these inquiries we notice commonalities between
student services at LSU’s College of Engineering. Currently, he is President of Southwestern Michigan College. American c Society for Engineering Education, 2021 Unanticipated Outcomes: Social and Academic Benefits for STEM Peer MentorsAbstract This practice paper will present the findings of qualitative assessment conducted onundergraduate participants in a peer mentoring program in the College of Engineering at a largepublic university. Past research mostly focuses on the effects of mentoring programs on theprotégés–those who benefit from being mentored. With the increase of leadership and peermentoring programs across
, and National StudentClearinghouse Research Center.To facilitate our qualitative data collection, we interviewed four nontraditional CEC undergraduates usinga semi-structured protocol to understand factors that may impact their persistence, their interactions withuniversity infrastructure such as advising and coursework, and their assessment of university supportsystems as being either aligned or misaligned with their unique needs. We also explored their identities asnontraditional students.4. Findings4.1 Quantitative FindingsThe dataset included 63,294 CEC students enrolled between the 2009-2010 and 2015-2016 academic years.About half of the students received Pell grants (51%), about two thirds of the students were part-time (66%),and about a
," andrandomizing questions in Canvas quizzes. The growth above in proportion of students whobelieved it is easier to cheat in online classes raises serious doubts about these proctoringalternatives' competence. In an online setting, instructors might want to consider alternativeassessment tools to replace exams. For example, embedding assessment throughout a projectcould lower academic dishonesty concerns in the online environment.The quality of online classes was also investigated. General2 asked students whether onlineclasses have a higher quality compared to in-person ones. As expected, in all three phases, moststudents disagreed (at various levels) with this statement. Although the disagreement ratedeclined over time (Phase I: 71.3% vs. Phase III
each roleduring the experiment.Table 1 Scrum roles and responsibilities in the project Role Responsibilities Customer The teacher with this role communicated the requirements of the project to the Product Owner, and validated the results of each Sprint Scrum Master The teacher with this role assessed the students in the technical and methodological issues of the project, and verified teamwork efficiency during the course Product owner The students with this role presented the Sprint results each week to the Customer and the Scrum Master. Within the team, they oversaw
integration, online course design and delivery, program evaluation, and assessment. Dr. Lux’s current research agenda is STEM teaching and learning in K-12 contexts, technology integration in teacher preparation and K-12 contexts, educational gaming design and integration, and new technologies for teaching and learning.Dr. Paul Gannon, Montana State University Professor, Chemical Engineering Associate Director, Montana Engineering Education Research CenterDr. Brock J. LaMeres, Montana State University Dr. Brock J. LaMeres is a Professor in the Department of Electrical & Computer Engineering at Mon- tana State University (MSU) and the Director of the Montana Engineering Education Research Center (MEERC). LaMeres is also
the US are predominantly White,male, English speaking, and middle class (Katehi et al, 2009). The percentage of students from minoritygroups (especially women) graduating from STEM fields is often much lower than the students who areacademically capable of further education in the STEM fields (Morrell 2013). Even though social equity inhigher education in the US has improved significantly over the last 2-3 decades, US institutions have madepoor progress in increasing gender equity in STEM (DeAngelo et al. 2011). The low representation andinclusion of minority groups adversely affect the intellectual capacity of our STEM workforce. The resultsof national assessments in mathematics and science reveal the academic performance gaps and
Center on the Legal Profession. https://clp.law.harvard.edu/knowledge-hub/magazine/issues/generative-ai-in-the-legal- profession/ethical-prompts/[24] “Ethical. Safe. Lawful: A toolkit for artificial intelligence (AI) projects | Thought Leadership | Insights | Linklaters,” www.linklaters.com. https://www.linklaters.com/en/insights/thought-leadership/artificial-intelligence- toolkit/ethical-safe-legal---a-toolkit-for-artificial-intelligence-projects (accessed Oct. 02, 2023).[25] Muhammad Haris Naveed, Umair Sajid Hashmi, Nayab Tajved, N. Sultan, and A. Imran, “Assessing Deep Generative Models on Time Series Network Data,” IEEE Access, vol. 10, pp. 64601–64617, Jan. 2022, doi: https://doi.org/10.1109/access.2022.3177906.[26
assignment). The project guides were written inMarkdown, the standard documentation format for GitHub. Students are able to make notes in theguides as they wish and save their updates in their GitHub repository for later reference.The laboratory assignments are the students’ primary work output for the course and the maingraded assessments. All student work is captured in their GitHub repository and submitted bytagging the repository for assignment submission. A new repository is created for eachassignment to simplify the organization and grading of the assignments.The instructor, teaching assistants, and graders have access to student GitHub repositoriesbecause they are owned by the same GitHub Organization that the instructor has control
children to learn, play, and grow. In the last couple ofyears, many researchers have developed various mobile applications to support the needs ofchildren with autism ranging from recognizing, detection and analyzing emotion and socialdevelopment. An AR learning system to train adolescents with ASD in recognizing varioussocial signals is offered by "ARSFM". Twenty stories were developed to assess the perceptionof their self-facial emotions and the intentions of others. The effectiveness of the ARSFM systemwas assessed using a multiple baseline design across three subjects. The research concludes thatthrough repeated ARSFM training, adolescents with ASD can more accurately recognize andappropriately respond to emotional facial expressions in
thereality of the interdisciplinary nature of the workplace. This reality frequently extends beyondengineering disciplines and includes colleagues from other backgrounds ranging from projectmanagers, marketing and sales, to assemblers, machinists, and technicians. Often, they are alsorequired to follow a documented or prescribed process that may resemble an engineering designprocess. To better prepare students for both engineering practice and internships along the way,we developed a semester-long design project that is bound by many of these constraints. ThisWork in Progress paper describes the project goals and constraints, periodic checkpoints thatreinforce the engineering design process, assessment methods, and project motivations with
will hopefully continue topromote a course environment with equal opportunity and access of tools for all first-yearstudents regardless of previous programming experience. The end goal is for all students to beable to control electronic sensors and actuators as part of their human-centered prototypes in thiscourse, and then have confidence to continue using and expanding those skills in their futureengineering design experiences.References[1] M. Ogot, G. Elliott, & N. Glumac, “An assessment of in-person and remotely operatedlaboratories”, Journal of Engineering education, 92(1), 57-64, 2003.[2] T.F. Wiesner, & W. Lan, “Comparison of student learning in physical and simulated unitoperations experiments”, Journal of Engineering Education
expertise in qualitative research methods.The two student researchers immersed themselves in the data as well as the learning typology,and over the course of several months were trained to code the interview data using thedeveloped typology. In that process, as new themes emerged in the data, the typology wasupdated to reflect these new themes and coding rules were further refined. No new primarycategories of the typology emerged, reinforcing the learning typology captures how students arelearning in the makerspace.In order to ensure coding agreement between the two researchers, Miles and Huberman’s [16]methods for assessing interrater reliability were used, and an interrater reliability of 83.7% wasestablished after coding four interview
training, and that working on open-ended, real-world problems is somethingreserved for post-college. While another student (Roku) also viewed real-world problems asbeing reserved for post-college, their reasoning had to do with a concern for responsibility ofthe potential impact.Other students expressed a general fear that these types of problems could be too challengingfor them or other students in an introductory course to approach. The vast amount ofuncertainty surrounding the scoping, implementation, and assessment of such a project canmake students resistant to wanting to explore these challenges.Preliminary DiscussionAs the qualitative understanding develops, the research team hopes to identify other keydifferentiating factors between
intrapreneurial competencies and semester dispositions? Does TIP lead to an increase in Intrapreneurial Motivation Self-Assessment intrapreneurial competencies and Survey dispositions? How do students self-evaluate their gains in intrapreneurial skills and the efficacy of the Mentor reflections program? How do students self-evaluate their gains in intrapreneurial skills and the efficacy of the Student Self-Reflections on the program program?Data were collected in the form of student reflections about being a mentee in the mentorrelationships and interview data from
can also be replaced with any other leveling feet.10 Tape measure11 Slide calipers12 Protractor13 Ruler (1’)14 Twine15 Scissors Purchased locally.16 Keyrings17 A transparent plexiglass (16” x 12”)18 Marker19 1 lb spaghetti box20 Play-Doh21 White glueMethodTo assess the impact of the at home lab kits on virtual student learning, the team will becomparing student understanding with the kit in a virtual learning environment to studentunderstanding with equipment in a traditional lab setting. During the Statics course, which the kithas been designed to support material coverage, we will adopt a hybrid lab schedule. This willcreate opportunities for students to learn in both the
University of MassachusettsLowell, an experiential learning project management course was developed in order to introducestudents to PM and to develop their leadership skills. In this course, upper-level BiomedicalEngineering students in a PM course are each paired with 3-4 first-year students in anIntroduction to Biomedical Engineering course as the team goes through a semester long projectto design, research, and prototype a need. These PMs are responsible for goal setting, planning,risk assessment, and conflict management. In this paper, the experiences of twenty-four PMs are analyzed qualitatively via analysisof end-of semester reflection assignments. Common themes that emerged included the need forgood communication, defining the PM’s
current engineering education research interests include engineering students’ understanding of ethics and social responsibility, sociotechnical education, and assessment of engineering pedagogies.Prof. Brent K. Jesiek, Purdue University at West Lafayette (COE) Dr. Brent K. Jesiek is an Associate Professor in the Schools of Engineering Education and Electrical and Computer Engineering at Purdue University. He also leads the Global Engineering Education Collabora- tory (GEEC) research group, and is the recipient of an NSF CAREER award to study boundary-spanning roles and competencies among early career engineers. He holds a B.S. in Electrical Engineering from Michigan Tech and M.S. and Ph.D. degrees in Science and
engineering education.Dr. Adam R. Carberry, Arizona State University Dr. Adam Carberry is an associate professor at Arizona State University in the Fulton Schools of Engi- neering, The Polytechnic School. He earned a B.S. in Materials Science Engineering from Alfred Univer- sity, and received his M.S. and Ph.D., both from Tufts University, in Chemistry and Engineering Education respectively. His research investigates the development of new classroom innovations, assessment tech- niques, and identifying new ways to empirically understand how engineering students and educators learn. He currently serves as the Graduate Program Chair for the Engineering Education Systems and Design Ph.D. program. He is also the immediate past