facilitate richer communication, and managing time to gaina common understanding of team members’ tasks were reported by students as strategies tosuccessfully adapt to new environmental conditions.González-Fernández et al. [11] investigated whether the self-regulation of teams was useful inpromoting teamwork in energy engineering topics over six years and suggested using an initialfiltration to form homogeneous teams, instead of unbalanced ones such as teams of friends,teams of the most capable students, etc. They also stated that internal self-regulation mechanismssuch as peer assessments resulted in better team performance.Team BuildingWhile effective teams produce better outcomes, various factors impact the building process or itsquality
in the process, and their enthusiasm wasreflected in the final result.References [1] Dimitra Kokotsaki, Victoria Menzies, and Andy Wiggins. Project-based learning: A review of the literature. Improving schools, 19(3):267–277, 2016. [2] Russell C Walters and Todd Sirotiak. Assessing the effect of project based learning on leadership abilities and communication skills. In 47th ASC Annual International Conference Proceedings, 2011. [3] Sandra Cocco. Student leadership development: The contribution of project-based learning. Unpublished Master’s thesis. Royal Roads University, Victoria, BC, 2006. [4] Joseph Krajcik, Barbara Schneider, Emily Adah Miller, I-Chien Chen, Lydia Bradford, Quinton Baker, Kayla Bartz, Cory Miller
, secondary education, and theology from the University of Saint Thomas in Houston, Texas and my Masters in mathematics education from the University of Dayton in Dayton, Ohio. I taught high school mathematics in Cincinnati, Ohio before coming to the University of Georgia to complete my Ph.D. in mathematics education. My research focuses on teacher preparation programs and how we assess teachers' feelings of preparedness.Tim Foutz (Professor) Dr. Foutz, a professor in the College of Engineering, is a Josiah Meigs Distinguished Teaching Professors, the university’s highest recognition for excellence in instruction at the undergraduate and graduate levels. Dr. Foutz has active projects in the general area of engineering
, and the 2nd-year contest judging was done with more various judges fromdifferent parties.Assessment / RubricThe assessment was carefully designed for both the class term projects and the contest judgingprocess. The class project criteria were aligned with the ML contest rules to measure the project’sperformance in the following six categories: 1) originality and creativity, 2) functionality andtechnical qualities, 3) demo video, 4) presentation, 5) participation in live sessions and mission,and 6) popularity according to people’s votes. For each category, teams could earn points or losepoints, meant to guide and encourage the participating teams. This assessment was specificallydesigned to not only reflect students’ learning but also Qeexo’s
both student test-taking pace andperformance. A better understanding of this relationship may help instructors develop better testsand examinations that will more fairly assess student knowledge from a course and help studentsmore confidently reveal their command of the material.2. MethodologyThis study uses statistical analysis to examine the relationship between the time a student used tocomplete a test and student performance, and test design. A top-tier research universitycompleted this study using data from an undergraduate engineering program. The obtained datafor this analysis is from six undergraduate engineering courses: One 100-level (freshman)course, two 200-level (sophomore) courses, and three 300-level (junior) courses. The class
their mechanical engineering courses was positive with studentsfavoring important lesson materials in a concise format and saving them time searching throughthe textbook for important course details [7]. The concise and focused style of the workbook fitsthe goals and structure of the prep-course very well and provides students an additionalsupplement of material for when they do take the gateway course.To evaluate students understanding and mastery of the course material, each student completes13 online quizzes (one after each lecture) and 3 examinations. The online quizzes are short,timed (15 minutes) assessments with 2-3 multiple choice questions that are due the day followingthe lecture. Their intent is to support consistent engagement with
? 4). Verifying and assessing: How can predictions from the models by confirmed through testing?Additional IssuesAdditional topics that often are not given enough attention on the selection of a project are shoptraining, safety, transport/storage, and disposal. Students often need significant training to gainaccess to departmental machine/wood shops. Safety issues range from students getting splintersand cuts to the misfiring of energy storage devices, i.e. bungee cords snapping, air tanksrupturing, and pinch points pinching. Such unsafe incidents, although they may occurinfrequently, make liability issues a concern. Some projects require the students to buildapparatuses that are ungainly and bulky that makes transport and storage a
? 4). Verifying and assessing: How can predictions from the models by confirmed through testing?Additional IssuesAdditional topics that often are not given enough attention on the selection of a project are shoptraining, safety, transport/storage, and disposal. Students often need significant training to gainaccess to departmental machine/wood shops. Safety issues range from students getting splintersand cuts to the misfiring of energy storage devices, i.e. bungee cords snapping, air tanksrupturing, and pinch points pinching. Such unsafe incidents, although they may occurinfrequently, make liability issues a concern. Some projects require the students to buildapparatuses that are ungainly and bulky that makes transport and storage a
-based organization participants would make an explicit reference to the engineering practices offabrication or engineering graphics. The epistemic practices of engineering used were :1)developing processes to solve problems, 2) considering problems in context, 3) envisioningmultiple solutions, 4) innovating processes, methods, and designs, 5) making trade-offs betweencriteria and constraints, 6) using systems thinking, 7) applying math knowledge to problem-solving, 8) applying science knowledge to problem-solving, 9) investigating properties and usesof materials, 10) constructing models and prototypes, 11) making evidence-based decisions, 12)persisting and learning from failure, 13) assessing implications of solutions, 14) workingeffectively in
, and computational literacies in the Learning Sci- ences. She is an active member in the International Society of the Learning Sciences (ISLS) and has published numerous journal articles and conference papers on children’s scientific and computational modeling in school settings. Her recent work argues that understanding computational thinking requires accounting for the perspectival, material, and embodied experiences in which children’s computing work is grounded.Ms. Anna Eunji Kim, Pennsylvania State University Anna Eunji Kim is a doctoral student in the Science Education program at Penn State. Her research fo- cuses on the interdisciplinary study of developing the assessment for ELL and NES students in Chemistry
generative artificialintelligence systems more widely available. One such system is ChatGPT, created by OpenAI,which has the ability to handle a variety of tasks, including answering complex questions,analyzing data, and engaging in contextual conversation. This paper assesses the impact ofChatGPT on programming assignments by examining its strengths and limitations in solvingchallenging problems presented in the IEEEXtreme programming contest problem set, whichincludes problems that were not included in ChatGPT's training data. ChatGPT's performancevaries depending on the type of problem, performing well in identifying underlying concepts andgenerating basic solutions for easier to medium-level problems, but facing difficulties with edgecases and
) only makes the situationmore dire. Limited studies have been conducted and published on techniques since the beginningof the pandemic, but much work is still ongoing. What work has been done seems to detail thatstudents who have a better sense of belonging will typically identify that they struggled less withthe sudden transition to online learning [4].The types of introductory activities detailed in this paper aim to increase student engagement,attendance, feelings of belonging, and connection to other students in the course.Materials and MethodsAt the beginning and end of the semester, Cohort A (n=32) was administered a modified versionof a validated survey [5]. This assessment was designed to evaluate aspects of entrepreneurialmindset in
Paper ID #34553Situating Engineering Education in a World Impacted by COVID-19Dr. Thomas A. De Pree, University of New Mexico Thomas A. De Pree is an ASERT-IRACDA postdoctoral fellow in the School of Medicine at University of New Mexico (2020-2023), where he holds a research appointment with the UNM Metal Exposure and Toxicity Assessment on Tribal Lands in the Southwest (METALS) Superfund Research Program Center, and a teaching appointment in environmental sciences at the Southwestern Indian Polytechnic Institute (SIPI). His Ph.D. & M.S. are in Science and Technology Studies from Rensselaer Polytechnic Institute
majors reported being cyberbullied atsignificantly higher rates than their counterparts. Likewise, in non-STEM majors, femalesexperienced significantly more cyberbullying than males, while white participants reported morecyberbullying than minorities.The higher prevalence of cyberbullying reports by non-STEM participants in the present studymay be partially explained by unequal representation of majors in the sample as STEM majorsaccounted for only thirty-two percent of our participants. Future research should include largersamples of STEM participants as well as participants from multiple universities to assess thispossibility. Our findings that females and minorities in STEM majors are cyberbullied at asignificantly higher rate than their
developing intuition for what the “answer” might be before youperform a detailed calculation is another piece of our standardized content. Questions like,“What is the volume of a basketball?” “How long did it take me to commute to school?” or“How much load would be on the Golden Gate Bridge if it were packed with pedestrians?” getstudents thinking about a problem-solving approach, what is known, what pieces of informationare missing and what assumptions are reasonable. A few of these types of examples are workedout in class as a group and responses are compared to show how various estimates can wash outover the course of a longer calculation. This approach also serves as a good point to introducesensitivity analysis and self-assessment of expertise
experiences related to engineering. Preand post surveys were conducted with the students in which there was a 100% response rate.The focus of the assessment was on: (1) learning gains for understanding engineering of a skiresort and (2) team building and meeting engineering women peers. Results show student gainsin both educational and team building outcomes.Literature ReviewComing into college, many students choose engineering because they excelled in math andscience courses in their high school, but when they begin their first semester, they may becompletely unsure of which engineering discipline they want to pursue. Ultimately, many ofthem might not even be aware of what a career in engineering entails. A study at Colorado StateUniversity shows
the junior Institution of Engineers for coordinating the obser- vations of the British Astronomical Association and Radio Society of Great Britain of Sputniks 1 and 2. He is author of Engineering Education. Research and Development in Curriculum and Instruction which received an outstanding research publication award from the Division for the Professions of the American Educational Research Association. He is also author of The Assessment of Learning in Engineering Edu- cation: Practice and Policy; The Human Side of Engineering, and Empowering Professional Teaching in Engineering American c Society for Engineering Education, 2021 The Concepts of
basis. A common example of thisformat in the engineering curriculum is the assignment of teams to Capstone Design Projects [6],[7], [8]. Common issues include team formation, mentoring, feedback and evaluation,milestones, assessment, leadership, individual accountability, and team dysfunction.In contrast to larger team projects, the Problem Solving Studio (PSS) implemented at GeorgiaTech and Emory University [9], [10] has students working in pairs to solve “well-structured butsomewhat complex” problems during class time. A similar approach is found in “Process-Oriented Guided Inquiry Learning” (POGIL) [11], [12]. POGIL also uses instructor facilitatedteaming during class times. Typical POGIL groups consist of 3-4 students, each with anassigned
= Always. Social presence andlearner satisfaction survey was developed by Richardson and Swan [15] with five questionsin each session. The survey question responses are measured through Likert Scale from 1 to6, where 1= Strongly Disagree, 2=Disagree, 3=Somewhat Disagree, 4= Somewhat Agree, 5=Agree and 6= Strongly Agree. The Distance Education Learning Environment Survey (DELES) was used to measurestudent learning as this survey was specifically developed and validated by Walker and Fraser[14] to assess the postsecondary distance education learning environment. The DELES surveyhas a Cronbach’s alpha of 0.94 and as of January 2021, the survey has been used in threehundred and seventy-six other studies. Social Presence and Learner Satisfaction
,assessments of what works, and feedback/recommendations on improving the program efficacy);and 2) project research questions.The program evaluation focuses on two research questions: 1) What are the effects of the program on student, faculty, and staff perceptions of known barriers to success for CC students and CC transfers interested in an engineering career? 2) What are the effects of the program on CC student interest, application, admission, enrollment, retention, and graduation from Lipscomb University’s engineering program?Data collection included student enrollment and success data from the project PI, documentationof student applications and other records for the program, and surveys developed by theevaluation team to capture
Paper ID #34521The SEECRS Scholar Academy at Whatcom Community College: Three Co-hortsof S-STEM Scholarships LaterEric Davishahl, Whatcom Community College Eric Davishahl holds an MS degree in mechanical engineering and serves as associate professor and engineering program coordinator at Whatcom Community College. His teaching and research interests include developing, implementing and assessing active learning instructional strategies and auto-graded online homework. Eric has been a member of ASEE since 2001. He currently serves as awards chair for the Pacific Northwest Section and was the recipient of the 2008 Section
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 ASU he was a graduate student research assistant at the Tufts’ Center for Engineering Education and Outreach.Dr. Medha Dalal, Arizona State University Medha Dalal is a postdoctoral scholar in
Illinois Foundry for Innovation in Engineering Education and in the Department of Bioengineering with the Revolutionizing Engineering Departments (RED) grant at the University of Illinois at Urbana-Champaign. Dr. Cross’ scholarship investigated stu- dent teams in engineering, faculty communities of practice, and the intersectionality of multiple identity dimensions. Her research interests include diversity and inclusion in STEM, intersectionality, teamwork and communication skills, assessment, and identity construction. Her teaching philosophy focuses on student centered approaches such as culturally relevant pedagogy. Dr. Cross’ complimentary professional activities promote inclusive excellence through collaboration.Ms
-recorded for verbatim transcriptionlater.Data Analysis Data analysis was initially carried out by the project assessment team to generate a yearlyevaluation report. After reviewing the yearly data set (i.e., survey results, journal entries,observations, and interview transcripts), the assessment team developed a set of open codes toidentify key aspects of meaningful learning experiences as elaborated by all students each year.This paper is based on the complied collection of the five years’ evaluation reports and a furtherretrospective analysis of some thematic findings noted in those reports. The research teamnoticed some converging and diverging points between male and female students throughout theyears and decided to interrogate the
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 chair of the Research in Engineering Education Network (REEN) and an associate editor for
studiedanalytically and experimentally in a fun, drawn out, challenging, and sometimes frustrating teamenvironments. Students enjoyed conducting experiments with engines and model vehicles. Astudents’ attitude assessment survey was designed, implemented, and analyzed. Overall, studentsfelt this was an exciting real life like worthwhile learning experience that taught them theusefulness and importance of physics and programming in engineering projects.Future PlansThis project will be enhanced by one or more the following additions: 1) an even longer 32-footrunway will be used, 2) the runway will be inclined, 3) and double decker and/or or much heavierbuses will be built so that two engines can be fired at once.References 1. Harb, J. N., Durrant, S. O., and
. aDue to unspecified responses, the numbers are inconsistent with the total number ofparticipantsB. AssessmentSince 2018, pre- and post-program surveys have been administered to evaluate the effects of theI-Corps Site program on students and adjust the program to ensure program goals are met. Indetail, the online program evaluation consists of the pre-program survey with four sections andthe post-program survey with five sections: (a) current knowledge, (b) a scale on perceptions ofentrepreneurship, (c) practice, (d) team and business model, and (e) program evaluation (post-program survey only). The format of the assessment included both open-ended questions andseven-point Likert scales, which ranged from 1 (strongly disagree) to 7 (strongly
Paper ID #32512Intersectional Complexities of Race/Ethnicity and Gender in EngineeringStudents’ Professional Social Responsibility Attitudes (Research)Dr. Angela R. Bielefeldt, University of Colorado Boulder Angela Bielefeldt is a professor at the University of Colorado Boulder in the Department of Civil, Envi- ronmental, and Architectural Engineering (CEAE) and Director for the Engineering Plus program. She has served as the Associate Chair for Undergraduate Education in the CEAE Department, as well as the ABET assessment coordinator. Professor Bielefeldt was also the faculty director of the Sustainable By Design
Ohio State University in 1994 and 1997, respectively. He teaches both undergraduate and graduate courses related to mechanisms and machine dynamics, integrated product development, solid mechanics and plasticity theory, structural design and analysis, engineering analysis and finite element methods and has interests in remote laboratories, project-based learning and student learning assessment. His research is in the areas of remote sensing and control with applications to remote experimentation as well as modeling of microstructure changes in metal forming processes. He publishes regularly in peer-reviewed conference proceedings and scientific journals. At the 2006 ASEE Annual Conference and Exposition in Chicago
collected at the end of the capstone course, ENGR195E. This course requires student teams to identify a behavioral or social science problem,apply computing skills to the problem, and present the results. Examples of past projects include:analysis of 1.6 million Twitter comments to identify possible signs of depression, sentimentanalysis of 3 million Amazon reviews to gain new insights in consumer behavior, andadministration and analysis of a questionnaire regarding drug use among college students. Bysurveying students at the end of this capstone course, we aimed to assess their opinions aboutand satisfaction with the minor, as well as their future career plans.Student profileA demographic profile of students enrolled in the final course in the