instructors as to how theyshould guide a team that is struggling with interpersonal conflict and/or difficulty in completingproject work cooperatively.BackgroundIt is widely agreed that the ability to function productively on a team is an important engineeringskill [1]. This ability is also a common learning outcome in project-based introductoryengineering courses [2]. Quite often, student teams are not self-selected, in order to simulatesimilar situations in the engineering workplace, and to prompt students to develop additionalflexibility and objectivity toward fellow team members’ diverse educational, cultural, andbehavioral orientations. Since these courses and teams often last for only one semester, theamount of time to develop this ability is
contexts. Third, we compare the methods and tools used to assess teamworkin engineering in the two cultures. Finally, we briefly discuss the implications of such acomparative literature review for constructing a more comprehensive, culturally responsiveapproach to defining, developing, and assessing teamwork.1. IntroductionThere has been increasing pressure on higher education institutions to be accountable forprofessional outcomes since approximately the mid-1980s [1]. Especially since the 1990s and theintensification of globalization, higher engineering education in the United States hasexperienced numerous calls for increased accountability due to public concerns about the qualityof engineering and engineers [2]. The ABET (incorporated as the
developed using various pedagogies and educational theories toincrease student learning and satisfaction through the incorporation of various interactive features(i.e., an interactive textbook). Although the intent of these different online textbooks is to augmentstudent learning, their efficacy has not thoroughly been scrutinized. To this end, a comparativestudy between the use of a traditional static textbook and an interactive, online textbook on studentperformance is presented.The authors of this study previously developed an interactive online textbook titled “Statics andMechanics of Materials: An Example-based Approach” using Top Hat’s teaching and learningplatform [1]. The organization of the textbook followed Cognitive Load Theory (CLT) [2
. BackgroundRound Robin Design The format of student feedback and evaluation data collected from team collaborations inengineering education settings usually coincides with a round-robin format, where each studentwithin a particular team provides feedback to every other team member, as illustrated in Figure1. In this example, there are four students, students 1, 2, 3, and 4. Each student provides feedbackto others, as the arrows show. Specifically, student 1 gives feedback to students 2, 3, and 4;meanwhile, student 2 provides feedback to students 1, 3, and 4; the same goes for students 3 and4.Figure 1An Example Illustrating Round-Robin Design with Four Participants The use of round-robin data in engineering education applications is often
Associate Research Professor and the Director of Assessment and Instructional Support in the Leonhard Center at Penn State. ©American Society for Engineering Education, 2023 WIP: Beliefs Matter: The Interplay and Influence of Engineering Faculty Beliefs on Instructional PracticesIntroductionFor many years, there have been calls from government agencies and professional organizationsfor changes in engineering, science, and math education to better support students and to preparethem for a changing world [1], [2]. Answering these calls, engineering education scholars areexamining various avenues to bring about change within engineering education to improvestudent outcomes. Researchers have
(RPG), including recommendations for intriguing story lines, the design of a game storewith motivating rewards, and various types of quests with different exploratory learningobjectives. To demonstrate the feasibility of the framework, we include three detailed casestudies of gamifying STEM courses from different disciplines: Software Engineering,Mechanical Engineering, and Computer Science. We also analyze student feedback, summarizecommon findings, and propose potential areas for improvement.Keywords:Gamification, Exploratory Learning, STEM education, higher education, engineering education.1. IntroductionHave you ever faced similar difficulties as described in the following scenario? As an instructor,you taught a critical subject and wanted
of Engineering Education and the Department of Curriculum & Instruction. Dr. Menekse’s primary research focus is on exploring K-16 students’ engagement and learning of engineering and science concepts by creating innovative instructional resources and conducting interdisciplinary quasi-experimental research studies in and out of classroom environments. Dr. Menekse is the recipient of the 2014 William Elgin Wickenden Award by the American Society for Engineering Education. Dr. Menekse also received three Seed-for-Success Awards (in 2017, 2018, and 2019) from Purdue University’s Excellence in Research Awards programs in recognition of obtaining three external grants of $1 million or more during each year
Hawaiian, or Pacific Islander.The summary statistics of the survey items were shown in Table A.1 (a) and (b) in the Appendix.Analysis and ResultsOur data, mostly consisted of Likert scores, or qualitative ranking, did not meet the normalityassumption that underpinned Pearson correlation analysis. Instead, we used the Spearman’scorrelation coefficients (Knapp 2018) to describe the associations within EI, teamworkdisagreement/conflict, and behaviors each, but also the cross correlation when they were paired. 3Spearman’s rho explained the monotonic correlation between two variables, producing a positivevalue when one variable always increased as the other rose, a negative value when one variablealways
Smart Grid WorkforceIntroductionThe electricity grid is one of the largest and most complex machines ever made. It sends energyworth $400 billion annually through seven million miles of transmission and distribution lines inthe U.S.[1]. Although the grid has been improved and upgraded over the last decades, blackoutsare becoming more frequent throughout the U.S. and worldwide. This extremely large-scalecomplex system continuously faces new challenges that demand fundamental revolution inphysical structure, management policy, and business operation [2]. To address these challenges,emerging electricity supply, delivery technologies, advanced monitoring, control, operationstrategies, and regulatory
1,5 CSEdResearch.org 2 CSforALL 3,4 CodeCrew 1 monica@csedresearch.org, 2 stephanie@csforall.org, 3 meka@code-crew.org, 4 darius@code-crew.org Abstract In this evidence-based practice paper, we explore a method for evaluating the effectiveness of Research Practice Partnerships (RPPs), which are an expanding way for computer science (CS) education researchers and practitioners to work together to address problems of practice. RPPs in
©American Society for Engineering Education, 2023 Work in Progress: Approaches to Evidencing Intra-Team Equity in Student Collaborative Design Decision-Making InteractionsIntroductionThis work-in-progress paper reports progress on our goal to find a means of identifying andevidencing behavior change in undergraduate engineering student teamwork following anequity-focused intervention. The intervention in question is implemented by Tandem, anin-house software platform that provides students with a space to give frequent feedbackregarding their teamwork experience, and then offers customized instructional material to theteam to change behaviors and improve the team dynamic [1]. The project on which this paperreports is part of a wider
, Technology and Society in the University of Vir- ginia’s School of Engineering and Applied Science.Elizabeth Opila ©American Society for Engineering Education, 2023 Student curiosity in engineering courses and researchexperiences: “I'm kind of torn between being a decent student and a decent engineer.”Abstract:This mixed-methods research paper investigates how classes and research experiences affectundergraduate engineering students’ curiosity. Students become curious when they recognize agap in their knowledge and seek to resolve this uncertainty [1]. When students are curious abouta topic, their learning better generalizes to new material and contexts [2]. Both the classroom andthe
identified as male and four as female. The representation of the sample’s race and ethnicity makeup include: Black (n=1), Hispanic or Latino (n=1), Middle Eastern (n=2), and white (n=6). Table 1 provides additional co-researcher demographic information, as reported in the screening survey. Table 1 Co-researcher Demographic InformationPseudonym Race Gender Disability(s) Engineering Year-in-School International Major Student (Y/N)Joe Middle Male Learning Civil First-year Y EasternSammy Middle Male Cognitive
and the importance of close mentorship.We motivate further persistence research in ML/AI with particular focus on social belonging andclose mentorship, the role of intersectional identity, and introductory ML/AI courses.IntroductionArtificial intelligence (AI) is now used in almost every industry [1]. As such, ML/AI courses, majorsand careers are increasingly sought out by university graduates. While ML/AI falls within theboundaries of Science, Technology, Engineering and Math (STEM), there are elements of this newfield, industry and type of work which set it apart; Thus, a study dedicated to understanding thedynamics of student perceptions of ML/AI can help us better evaluate how the field may beencouraging or discouraging broad
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and Objectives for a First Year Happiness and Wellbeing Course Muhammad Asghar 1,*, Daniel Kane 1, Angela Minichiello 1, and Wade Goodridge 1 1 Engineering Education Department, Utah State University, Logan, UT 84322, USA * Correspondence: m.asghar@usu.edu AbstractBackgroundStudents in higher education report a multitude of mental health problems. The situation seems to havebeen exacerbated by the Covid-19 Pandemic. In undergraduate engineering education in particular, anoverall stress culture prevails caused by high academic workload, sleep deprivation, higher self-expectations, and other factors that resulted in less time available for students to use directing their
perceptions of their own capacities; self-perceptions of STEM and engineering related strengths are predictive of persistence incoursework, participation in relevant co-curricular activities, and career exploration (Cabell,2021; Simon et al, 2015). Invention education includes a transdisciplinary range of pedagogical strategies that aredesigned to improve children’s inventive habits of mind as well as their awareness ofcommercialization related topics such as intellectual property and business model development(National Inventors Hall of Fame, 2019). Programs often teach invention processes such asidentifying problems, ideating, designing and testing prototype solutions, and sharing the ideawith others 1. Common formats for invention education
evidence-basedpractices to achieve transformative, systemic and sustainable change that will increase thegrowth rate in the number of BIPOC and women obtaining undergraduate/graduate engineeringdegrees and establish a future growth rate that can substantially close the participation gaps. Theshare of engineering degrees awarded to women and/or those who are Black, Indigenous andPeople of Color (BIPOC) in the United States over the past decade reflects only slow progress inthe efforts to increase representation of these groups at the undergraduate and graduate levels.And for men who identify as Black, Indigenous, and/or People of Color, the percentage ofmaster’s and doctoral engineering degrees being awarded has actually declined in recent years[1
- sity since 2011. His teaching and research interests focus on structural engineering, structural concrete, infrastructure, and educational reform. ©American Society for Engineering Education, 2023 Development of an assessment for measuring knowledge transferred between the classroom and structural engineering practice.IntroductionIt is well documented that humans are not adept at the process of transferring knowledge learnedin one setting to another in which the underlying principles are the same, but the outwardappearance is different from that in which the learning took place [1]-[7]. Knowledge transfer(“transfer”’) is something that is often assumed in
diverse experiences in engineering education may be critical to fosterintuition development.IntroductionThe idea of using intuition in professional practice has been established in nursing, businessmanagement, and the judicial system [1]-[5]. Recent work has extended the acknowledgement ofdiscipline-specific intuition to engineering [6]. Intuition use in the workforce supports quickerand more efficient outcomes [1]-[7]. In engineering, intuition allows practitioners to navigateconstraints and ambiguity in problem solving [6].In models of expertise development, intuition is a skill specifically held by the expert and is usedfor making informed and accurate decisions without the need for time consuming analysis andconsideration of alternatives [8
they set out at the onset of everyacademic year.In a previous conceptual paper, we proposed a new framework, Black Student Thriving in Engineering(BSTiE, pronounced “bestie”), to describe what factors contribute to the thriving process based onseveral existing theories. Six components emerged: (1) internal environment, (2) competence, (3)motivation, (4) belongingness, (5) assimilation, and (6) external environment. The internal environmentprovides individual context – one’s cultural commitment and identity. Competence is how studentsperceive engineering concepts and their ability to achieve them. Motivation is a student's willingness tosucceed in engineering. Belonging is a student’s perception that they belong in their engineeringprogram at a
PIM? RQ2:What communication challenges are shown while working in a diverse team? RQ3: Whatstrategies did students learn from the PIM to overcome the communication challenges inteamwork? The data for the study were collected in the form of student reflections. The studentreflections were analyzed using both deductive and inductive thematic analysis. The Associationof American Colleges and Universities (AAC&U) Intercultural Knowledge and Competence(IKC) rubric was used to conduct deductive thematic analysis and answer RQ 1. The intent was toidentify the domains of intercultural competence reflected in two reflection questions. For both,the reflection questions following domains of IKC rubrics were identified they are, verbal and non-verbal
engineering [1]; [2]. Moreover,engineering education enhances students’ problem-solving skills, as it provides real-worldconnections and opportunities for students to learn to manage uncertainties as well as ill-structured problems for learning [3]; [4]; [5].Studies have investigated the degree of impact STEM and engineering education have onelementary school students [6]; [7] as elementary school years are known to be a critical time tospark students’ interest in STEM [8]. The focus of our study is promoting engineering as anintegral part of the elementary curricula. In this study, we examined the students’ experienceswith and attitudes toward engineering after engaging in STEM-integrated problem-basedlearning (PBL) since negative attitudes can
goals that may translate to thesuccess of alumni and their professional advancement. For the National Academy ofEngineering’s The Engineer of 2020 [1] project, for example, emphasis areas for thecharacteristics of future engineer included to-be-expected aspects such as technical expertise.Additional qualities like creativity, flexibility, practical ingenuity are also of note. In consideringhow making can be infused into engineering curricula, one can map some aspects of making inthe Maker Community [2], to The Engineer of 2020 [1], to 21st Century Skills [3] to ABETstudent outcomes [4]. This is summarized in Table 1 below. Table 1: Learning Traits Summarized from Different Community Resources maker community [2] engineer
navigate team dynamics [1], [2]. Positiveaffect and motivation have been proven to correlate with learners’ ability and desire to engage inlearning [3], [4]. Recent literature in the learning sciences expands on this evidence bypositioning affect and motivation as epistemic [5]. That is, the emotions that engineersexperience in the doing of engineering are themselves entangled with acts of building knowledgein engineering. By necessity, learning engineering must also attend to learning how one feelswhen doing engineering [6]. Therefore, the learning that undergraduate students engage in is aninherently emotional, or affective, process. For example, undergraduate students mightexperience frustration as they struggle to understand concepts, pride as
statisticallysignificant, both from the sense of belonging and mattering towards mental well-being, and fromit towards academic self-regulation. This implies that there is an indirect effect from the sense ofbelonging towards academic self-regulation.Keywords: Sense of belonging, Sense of mattering, well-being, self-regulated learning,Engineering educationIntroductionIn higher education, attention to students’ mental health has grown in recent years [1]. Inengineering education, some work has begun to emerge on student well-being [2], but there isstill much work to be done. The role of stress within engineering culture has not been fullyexplored in the literature [3], despite the stress experienced by engineering students [3]. Thisparticularly affects women and
Background/MotivationStudents from low-income backgrounds (hereafter referred to as low-income students) have highaspirations, drive, motivation, and interest in attaining college degrees [1]–[3], yet, they are alsomore likely to have attended underserved primary and secondary schools and therefore morelikely to be underprepared for engineering studies in higher education [4], [5]. The financial needto complete higher education in the field of engineering is high for these students [6]. However,it is not the only variable necessary for their success. Aside from financial support, low-incomestudents may need academic, professional, social, and emotional support [7]–[9]. Without thesesupports, low-income students are more likely to leave higher
engineering students to make informed academic and career choices in their late adolescence and early adulthood. ©American Society for Engineering Education, 2023Stigma of mental health conditions within engineering culture and its relationto help-seeking attitudes: Insights from the first year of a longitudinal study 1. IntroductionColleges and universities are trying to keep pace with the increasing mental health needs of students.However, it has been documented that students’ attitudes towards seeking help are still a barrier to the useof available resources, and such attitudes vary across student subpopulations, with engineering studentsbeing less likely to seek help for mental health conditions (MHCs) than
academia.IntroductionAttempts to understand research culture are not new, and there are examples of scholarsmapping, analyzing, and critiquing research culture in the sciences. Some examples are studiesranging from ethical concerns in psychology research [1], critiques of the underlyingphilosophical assumptions of scientific research [2]–[4], developing a framework for scientificresearch in the life sciences [5], to social and political critiques of funding practices in the STEMresearch enterprise [6]–[8]. Following these trends, scholars have explored the nature ofengineering and the cultural underpinnings that guide the field in both practice and training offuture engineers [9]–[13]. These works are often concerned with developing a deeperunderstanding of the
transferability of aneurodivergent codebook developed from social media content on TikTok. Neurodiversitystudies and acknowledgement of neurodivergence within diversity conversations are starting toemerge within engineering education research [1]–[5]. For example, a spike of publicationsmentioning “neurodivergent” or “neurodiversity” in the ASEE Peer depository occurred in 2020,which marks the early COVID-19 quarantine timeframe (e.g., [6]–[9]). This quarantine wassignificant for the neurodiverse community as many undiagnosed adults discovered throughsocial media (specifically TikTok) that they are, and always were, neurodivergent [10]–[14].While neurodivergent experiences are being included, fundamental understanding of what itmeans to be neurodivergent