, compellingly titled“ChatGPT: Bullshit Spewer or the End of Traditional Assessments in Higher Education?”, the authors discuss the threatof ChatGPT to academic professionals and provide recommendations to them in the face of the growing expansion ofpowerful natural language models. They conclude with the following: “… we believe that major changes to traditionalhigher education assessments such as essays and online exams are in order to address the existence of increasinglypowerful AI, unless universities want to be akin to driving schools that teach [horse riding]” [18]. This paper does not long consider language models that can be used to write student assignments; it is mentionedas an area of tangential concern to educators. The primary focus of
Paper ID #38914Music, Coding, and Equity: An Exploration of Student and TeacherExperiences in Decoding Messaging and Discussing Equity with the ”YourVoice Is Power” CurriculumDr. Sunni Haag Newton, Georgia Institute of Technology Sunni Newton is currently a Senior Research Scientist at the Georgia Institute of Technology in the Center for Education Integrating Science, Mathematics, and Computing (CEISMC). Her research focuses on assessing the implementation and outcomes of educatiRoxanne Moore, Georgia Institute of Technology Roxanne Moore is currently a Research Engineer at Georgia Tech with appointments in the school of
disciplines and society more broadly [29-34]. Our emphasis in this paper ison providing materials to foster computational thinking in the chemical engineeringundergraduate curriculum; others have developed computational thinking assessments [35-39]that may also be of interest to readers who adopt our materials in their classrooms. Three“computational practices” apply computational thinking for problem solving [34]: (1) automatingprocedures and processes, (2) using models to understand systems, and (3) collecting, analyzing,and communicating data. These are all relevant practices for chemical engineeringundergraduates to learn and apply. Our interactive coding templates exemplify the first two ofthese computational practices. Other data science
education, engineering predictive assessment models that support students’ learning, classroom management techniques, and best teaching practices. Dr. Akintewe’s teaching, mentoring, and academic efforts have received recognition, including the 2022 Women in Leadership & Philanthropy, Kathleen Moore Faculty Excellence award, the 2021 USF STEER teaching scholars award, and the USF BMES chapter Faculty of the year award. Her mission is to teach, mentor and coach the next generation of students that succeed in STEM fields while promoting learning, diversity, and leadership.Jamie Chilton (Instructor I) Jamie Chilton is an Assistant Professor of Instruction in the Department of Industrial and Management Systems
Childcare Center Committee.Mark Rouleau Associate professor in the Social Sciences department at Michigan Technological University with a background in computational social science, research design, and social science research methods for assessment and evaluation purposesDavid Wahl David W. Wahl is a social psychologist currently working as a research associate with the ADVANCE Midwest Partnership at Iowa State University.Patricia Sotirin Dr. Patricia Sotirin is a Research Professor in the Department of Humanities at Michigan Tech. She earned a Ph.D. in Communication from Purdue University and her research areas include interpretive qualitative methods, feminist theory, embodied gender in organizations, and kinship
). Assessments are done through verbal exams, allowingflexibility for follow-up questions and opportunities for multiple forms of expression. Theprogram curriculum includes workshops and provides additional resources for how to navigatethe workplace and learning when coping with mental health or wellbeing concerns.Students in Iron Range Engineering have weekly meetings with a mentor, staff with engineeringdegrees, and the program keeps an inclusive culture for informal mentorship [50]. Although 30%of students identify as having a disability, students rarely apply for accommodations or bringletters of accommodations to instructors. These conversations occur informally andpersonalizations are made as part of an open discussion.Describe your undergraduate
and accessible a design adjustment that can be made or if anenvironment should be a priority for accommodation might be needed to overcomeinstructors. the limitations of the design. I am always happy to consider creative solutions as long as they doThere are many online examples of not compromise the intent of the assessment oraccessibility and accommodation statements learning activity. You are also welcome to contactfor a syllabus (Box 2).24,25 Portions of the the disability service office to begin thisaccessibility statement might have to remain conversation or to establish accommodations fordue
conceptual understanding, an understanding of relevant formulas, andan ability to assess assumptions and evaluate the reliability of results based on a deeperunderstanding of the mathematical expression of engineering concepts.4. First principles as emphasis on the whyPerhaps similar to understanding the equations was this emphasis on understanding the why or“the endorsement of the ability to say why.” One professor mentioned:“You know why things are a certain way, and I think that’s, I think that’s one of the foundationalideas behind [this program] is that you actually know the underpinnings about why certainthings are the way they are.”Another professor indicated the connection to validation and question assumptions:“we're not just showing
designed to assess whether students can absorb and apply that knowledge. As a result,students are relatively passive, following the direction and performing the tasks laid out in asyllabus. In a Cohort Challenge, students must take leadership as soon as possible over theresearch questions and projects that will drive their activities over the course of the academicyear. This switch in roles can be confusing to both the organizers and students in a CohortChallenge. Advisors must resist the temptation to assert control over the students’ efforts toidentify a project, and students must understand that advisors and peer mentors will not providethem with answers. While this part of the process can be frustrating, it is crucial to the overallgoal of
this year’s ASEE NSF Grantees Poster Session with the title, US-SwedenBioinformatics IRES Year 1: Program Development and Initial Lessons Learned. The program’sexternal evaluation was primarily a quantitative assessment using a Likert-scale questionnaire toassess various portions of the program. While our assessment provided valuable information, wefelt that it was difficult to assess how students’ perceptions shifted during the summer. As such, aqualitative analysis of student blog posts was warranted. Additionally, since the programassessment took place at the end of the program, we only obtained a ‘snapshot’ of student’sperceptions – the analysis of student blogs over the course of the summer allows us to gather dataon student perceptions
engagement in online programs, and enhance related outcomes. In [17], theauthors investigated how course design influences student engagement and motivation inan online course. They applied the Project-Based Learning method and analyzed studentreflection data. The experiment results showed that the course/module structure, contentscope, project design, assessment design, instructional resources and tools are critical factorsthat are important to motivate students to learn online. In [18], the authors investigatedcorrelates of both online classroom community and student engagement in online learning,as well as compared community and engagement across disciplines in higher education. Con-sidering classroom community with instructors, classroom
problems and designing solutions)[1], [2]. However, engineering is different in manyways when compared to science, and those differences in the disciplinary practices should berecognized and emphasized [3]. A review of the literature identified sixteen practices ofengineers that were both unique to engineering and relevant to K-12 teaching [4]. Of particularinterest to our group has been persisting and improving from failure [5], assessing implication ofsolutions, and building and using models [6]. Recently, we have become particularly interestedin the ways groups of students and teachers approach balancing tradeoffs between criteria andconstraints in multi-objective problems [33].Few teachers have experience learning engineering [7], and even
focus on DEI outcomes. The framework is constructed from Universal Design forLearning (UDL) principles, STEM-critical pedagogy, models for learning, and a feedbackmechanism to assess and evaluation outcome attainment of the program goals. Section 4describes the key elements of the framework for DEI-informed GTCM programs. Section 5provides a discussion on the merits of the framework regarding how it leverages the GTCMskills and, at the same time, elevates students’ mindset to not only have an ephemeral knowledgeand understanding on pathways to tackle challenging problems but to espouse and give voice toDEI values while acting as change agents for social justice. Section 6 is a summary andconcluding remarks.2. The Geospatial Technology
experiences, andmove toward anti-racist pedagogy, assessments, and inclusive teaching practices.Within our department, there was a strong desire to make lasting changes to the culture andcurriculum. These efforts were driven by our graduate students with support from our faculty,and included the establishment of an Anti-Racism, Diversity, Equity, and Inclusion (ARDEI)Committee, collection of data through a climate survey to gauge the needs of the department’smembers, and creation of efforts to include anti-racism and social justice in the department’scurriculum and research [19]. The latter of these initiatives was both the first initiative taken inthe department and is the focus of this paper.There were few established examples for how to increase
in higher engineeringeducation curricula. To ensure that we covered a broad range of research, we searched the Webof Science (WoS) and SCOPUS databases using keywords. We limited our search to peer-reviewed conference articles and journal articles and found a total of 848 articles publishedbetween 2000 and 2022, 375 from Web of Science and 473 from Scopus. Firstly, we removedrepetitive papers from two databases by comparing the titles. This reduced the number of studiesto 691. We then screened the papers based on their titles, abstracts, keywords, and conclusions,removing irrelevant studies, and reducing the number of relevant studies to 406. Finally, wethoroughly read the remaining articles and assessed their relevance to our study. This
assistant at the Leonhard Center for Enhancement of Engineering Education at Penn State. His research interests are engineering education, diversity, equity, inclusion, and retention of underrepresented minority groups. Luis will research how diverse human talents contribute to our profession’s social and global relevance.Dr. Stephanie Cutler, Pennsylvania State University Dr. Stephanie Cutler has degrees in Mechanical Engineering, Industrial and Systems Engineering, and a PhD in Engineering Education from Virginia Tech. She is an Associate Research Professor and the Director of Assessment and Instructional Support in the Leonhard Center at Penn State.Dr. Sarah E. Zappe, Pennsylvania State University Dr. Sarah Zappe is
University Dr. Janie McClurkin Moore is an Assistant Professor in the Biological and Agricultural Engineering De- partment at Texas A&M University in College Station. A native of Columbus, Ohio, she attended North Carolina A&T State University where she received a B.S. in Bio Environmental Engineering in 2006. She then began pursuing her graduate education at Purdue University in the Agricultural and Biological ©American Society for Engineering Education, 2023 Paper ID #38356Engineering Department, completing her Ph.D. in 2015. Her primary research areas include 1) myco-toxin risk assessment and
, insightful,critical/analytical/practical, leadership, independent, good communication, experience, andperseverance [29]. Themes of creativity, social skills, and problem solving skills are seen acrossall student definitions discussed above.Based upon this literature survey, it is clear that small discrepancies exist in EM definitionsdepending on the stakeholder group. Entrepreneurs seem to focus on the aspects of the humanmind: cognitive, in terms of making connections to better create as well as assess situations,behavioral, in the sense of how one will use their prior knowledge to drive their leadershipabilities and emotional, such as how one will deal with times of high stress or uncertainty. Asdiscussed before, Nastor lists how entrepreneurs
, acclimation, and perceptions of their researchobligations and advisor relationships within their program. We also used Likert scale items tosurvey respondents’ perceptions of their graduate institution’s campus climate. Specifically,Brown et al.’s [9], [10] items regarding institutional commitment were modified and included toinvestigate participants’ reflections on their graduate institution of choice. Finally, we developedtwo open-ended questions within this section to assess (1) how their undergraduate experiencemost prepared them for graduate school and (2) the ways in which their undergraduate schoolexperience was distinct from their graduate school experiences. This section was then followedby general demographic and educational background
motivation scale (SIMS) [65] (Appendix 1) was designed to measure foursituational motivational constructs: intrinsic motivation, identified regulation, externalregulation, and amotivation [66], [67]. The SIMS contains a total of 16 items, four items for eachconstruct. Items are scored on a 7-point Likert scale (1: not at all in agreement to 7: completelyin agreement). This scale approaches the measurement of motivational behavior by asking ‘why,’and this approach helps researchers understand the very nature of motivation by placing theitems on the grounds of the conceptual definition of motivation [66], [67].Student Engagement: CATME Comprehensive Assessment of Team Member Effectiveness (CATME) [68] (Appendix2) was developed to offer
and contexts[5], [6]. Due to the ill-structured nature of the engineering problem-solving process, learnersbenefit from modeling, authentic learning problems and contexts, which teachers who havehands-on research experience are better equipped to provide [6], [7]. The RET program offersteachers the opportunity to have that hands-on research experience.To assess progress and accurately measure the impact of an RET program, each center isexpected to include a comprehensive evaluation plan, including both formative and summativeassessments, which is then conducted by an external evaluation group. Feedback fromassessment is then provided to the center in order to improve various aspects of the RET programeach year. Although all RET programs have
approach allowing for the development of emergent codes. Throughout thecoding process, inter-rater reliability (IRR) quantitatively assessed the coding agreement acrossresearchers until the IRR was higher than 80% for each coding category and the overall IRRacross all categories was higher than 90%. The data from the interviews showed studentsperceived poorer team communication in the virtual environment, limiting team’s effectivenessin completing tasks. Students mentioned that the environment had negative effects on thecollaboration and relationship formation of the group members. Some students describedstrategies they adapted for improving communication, including approaches for establishingclear expectations, streamlining meetings, and building
growththroughout the semester by also incorporating the LASSI output into a number of courseassignments and activities. This paper expounds on our use of the LASSI and presents ananalysis of the course’s effectiveness improving student learning capacity and study strategy useas a result of engaging with the LASSI.The Learning and Study Strategies Inventory (LASSI)The LASSI is an 80-item Likert-type assessment developed in the late 1980s to gaugeundergraduate students’ skills related to learning and studying [3]. The LASSI includes tendistinct subscales, or dimensions: anxiety, attitude, concentration, information processing,motivation, selecting main ideas, self-testing, test strategies, time management, and usingacademic resources [3], [4] (Table 1
-campus students study a light bulb in an open system. When possible, remote students interactsynchronously with their on-campus teammates using Zoom or MS Teams, with the sessionsbeing recorded for students in distant time zones. An additional advantage of these labs is that ifclasses must revert to completely online at some point during the term, on-campus data can beprovided by the instructor to allow students to complete the experiments. The effectiveness ofthese experiments is being assessed through student surveys and comparison to previous labexperiments teaching similar concepts. Data from the first two terms shows that between 64%and 93% of the students surveyed agreed or strongly agreed that the individual labs wereengaging, and between
educationresearch [13]. Figure 1 leverages this model to show how the engineering and labor theory ofchange fits into this study of engineering graduate students engaging in a strike. The modelconnects Mejia et al.’s critical consciousness model [17], which engages Freire’s principles ofcritical pedagogy [18], with Hassan’s model of learning-assessment interactions [19]. “Mejia etal.’s model is represented in the center of this model, showing relationships between theory,action, reflection, and concepts of scholarship, praxis, concientização, and liberation that resultfrom their overlap. Hassan’s model of learning-assessment interactions is overlaid, with theoverlap taking the form of reflection as an assessment method and action as a learning method”[13
may alsoreflect that students in the course gain a sense of the complexity of career decisions via thecourse.Figure 7: Fall 2019 assessment responses to the statement: “I have a clear plan for myEngineering education/career”. The top four rows represent those students who wereenrolled in the course, while the bottom four rows represent those students who were notenrolled in the course.As the comparable figure for Fall 2020 indicates, students in the course exhibited a differentresponse to this question compared to Fall 2019. In Fall 2020, among students in the course, wesee a slight increase in clarity for all time periods. The post-survey averages are very similaracross the two groups of students. In this semester, it appears that students
neighborhood. The students also looked at ways to improve thequality of life of the residents by providing garden areas for cultivating fruits and vegetables, and foracquiring new and marketable skills. Among the novel design concepts were the development of a rainwaterharvesting system and repurposing the harvested rainwater for irrigation. The community garden designincluded raised beds for cultivation of food crops that are viable for the Texas Panhandle area (see Figure8b). The students also carried out a soil quality analysis from the site to determine the optimum crops.Course AssessmentWe assessed the students’ learning in the course according to common student learning outcomes (SLOs)used throughout our civil and environmental engineering
-prepared activities are applied in subsequent courses through the undergraduate curriculum.2 Regardless, the authors of some of these media are standout professionals or rising-stars in computer science and related fields. 4 CoNECD ASEE Conference April 29-May 1, 2018Team contributions in each Social Contract Building Blocks assignment are assessed in a peer-wiserating using the template provided in Appendix D.In addition to scores from Social Contract Building Blocks assignments, and peer ratings, an ongoingseries of interviews with students over their experiences in the Computer Science program is beingconducted in order to
support students gaining awareness of themselves, WPRI offered services and advice duringcounseling visits. WPRI career service professionals offered assessments during individualcounseling sessions “in order [for the students] to learn about what they are interested in.” Inaddition, WPRI career service professionals believed that, “experience improves that awareness.”Thus, they encouraged students to gain experience throughout college to help with their self-awareness, and WPRI career service professionals highlighted that experiences can be volunteeror employed roles. WPRI career service professionals highly encouraged students to participatein an internship, and they incorporated this sentiment into group presentations related to
has worked at the University of Glasgow specialising in teaching English for Academic and Specific Purposes. Anna is interested in academic development, particularly related to writing skills and graduate attributes. She has developed a keen interest in e-learning and how technologies can be used to enhance learning and teaching processes. Her special areas of interest include: effective online course and activity design, building online communities and multimodal approaches to writing and assessment. c American Society for Engineering Education, 2016 Investigating EAST (English for Academic Study Tele-collaboration) A UK- Palestine English Language Project for Engineering and Science