categories of predictors andmediators of conceptual change including affective, motivational, and self-regulation variables.The implication of this study is also discussed.1.0 IntroductionMisconceptions about basic scientific concepts often stem from students’ innate need to makesense of the phenomena they encounter in their daily lives [1]-[4]. It is common for learners todevelop naïve theories that help them interpret their experiences of the world. Such theories,built up over time, are often in conflict with consensus opinion in the scientific community.Students may also acquire misconceptions from misunderstanding their teachers and from thetextbooks they read – both sometimes are the sources of misconceptions [5], [6].Like any theory
needs. As such, program leaders must work to (1) provideeffective, accurate, and personalized support; and (2) provide information and recommendationsfor curricular developments and resource management. Both efforts rely on a strong foundationof data to inform decision-making. As such, this paper describes the quantitative portion of alarger mixed-methods project, from which the authors identified initial baseline conditions ofstudents’ academic performance in the focal course and revealed potential influential factors asrevealed in a logistic regression model predicting the likelihood of a student to receive a passinggrade. Future plans for educational data mining beyond the focal course are discussed. This worksuggests some opportunities for
education via distance, onlineeducation has become ubiquitous both at the k-12 and higher education levels [1]. Previous tolessons learned by the forced online environment, education via distance had been an area ofexpertise for instructional technologists and others interested in providing opportunities that werenot related to geography and utilizing the relatively new internet technologies [2]. After thepandemic, many more educators were better equipped to conduct courses online, and studentswho had success in the online environment could see the efficacy of online learning. The abilityto offer learning via distance has allowed students to remain in their locales while obtaining adegree from an institution that may be many miles distant, or in
, thereby fostering empathy in design.Amidst the pandemic, the shift to remote interactions offered a distinctive lens to evaluateempathy development in three cohorts of students (N = 118) who completed the 40-itemEmpathy Quotient (EQ) self-report questionnaire pre- and post-course. Results compare EQscores from students who received virtual service-learning experiences (cohorts 1 and 2) versusstudents who received in-person service-learning experiences (cohort 3).Results at pre-course found female engineering students had higher EQ compared to males,seniors had higher EQ compared to juniors and sophomores, and biomedical engineeringstudents had higher EQ compared to civil engineering, electrical engineering, industrialengineering, and mechanical
programIntroductionThroughout the history of the United States, racial and ethnic minorities have faced sociallyconstructed barriers to access, equity, and success. Though higher education policies are nolonger explicitly exclusionary, the campus climates of many colleges and universities are farfrom inclusive. Further, the lack of racial and ethnic diversity at predominantly Whiteinstitutions (PWIs) presents particularly unwelcoming environments for underrepresentedminority (URM) students, including individuals who identify as Black, Hispanic/Latino, andAmerican Indian or Alaska Native [1]. URM students attending PWIs frequently report feelingsof prejudice, discrimination, and exclusion [2], and such experiences negatively impact theiracademic and social success [3
-Income BackgroundsIntroductionThis work-in-progress (WIP) paper will share preliminary insights on the implementation ofinterventions in STEM learning environments impacting undergraduate engineering degreecompletion at a Historically Black College and University (HBCU). While HBCUs onlycomprise three percent of post-secondary institutions in the United States, they enroll a highpercentage of minority students [1, 2], and are often criticized for having low graduation rates,especially for low-income students [3]. To combat this concern, a public historically black land-grant university in the southeastern region of the United States was awarded the National ScienceFoundation (NSF) Scholarships in Science, Technology, Engineering, and Mathematics
paying specialattention to the mentoring, training, and recruitment of the underrepresented population inSTEM, especially women and minorities. This paper presents program details and recentevaluation results.IntroductionThe number of science, technology, engineering, and mathematics (STEM) jobs in the UnitedStates is growing faster than ever. According to the Bureau of Labor statistics, while totalemployment is projected to increase by 2.8% from 2022 to 2032, STEM jobs are expected togrow 10.8% during the same period [1]. This translates into more than one million new STEMjobs in the American labor market over the next 10 years. This demand for STEM graduates isof interest to many colleges and universities, where the focus has been on
highly valued [1-5].These problems students face when tasked with transferring knowledge have been citedpreviously by various authors. In particular, the (in)ability of students to utilize fundamentalconcepts they learned in mathematics and physics in the context of thermodynamics have beendescribed by both the mathematics and physics communities [6-9]. In these studies, studentswere shown to have only a cursory understanding of the core math and physics concepts at playto view these ideas as isolated elements lacking connections to other aspects of their curriculum.An important conclusion of this work (that was not studied) was the idea of promoting priorknowledge activation as a mechanism for potentially remedying these issues [6].In the field
mandatory component of the course regardless of a student’s choice to participate in the current study. The format of the quizzes, the DYOP projects, and reflection assignments will be described in detail in the following sub-section.Figure 1. Diagram of assessment work-flow throughout semester. An illustration of how a student would select their topic fortheir DYOP assignment is given. Numbers indicating grades are provided as an illustration only and do not come from a studentwho participated in this study. The assessments were broken up into two sections. The first section included quiz 1, quiz 2, quiz 3, and the midterm project. The second section included quiz 4, quiz 5, quiz 6, and the final project. Each of the six quizzes
engineering students to switch majors or drop out of higher-educationinstitutions commonly occurs during the first and second year of college [1]. Foundations ofidentity begin to form as students decide to continue pursuing an engineering major [2]. Unlikeother majors, engineering has a low rate of migration into the major [3], making retention amajor concern. In the process of developing interventions to increase retention rates in STEMfields, the research surrounding students' experiences in these fields has grown substantially.Significant research has focused separately on identity development within STEM fields [1], [4],[5], [6] and on the affective experiences [7], [8], [9], [10] of students. Some studies haveinvestigated the overlaps between
students’understanding and comprehension of challenging material [1]. The ability to utilize their sensesof sight, touch, and hearing when learning about the behavior of materials and structuresincreases their ability to apply their knowledge. Improving a student’s spatial skills and ability tovisualize complex problems has been shown to improve retention and performance inengineering courses [2]. Hands-on mechanics demonstrations and activities have been utilizedfor decades [3], [4], [5], [6], [7]. Recently, educators have developed tutorials and databases toassist other educators looking to incorporate these hands-on activities into their own courses [8].Even professional societies such as the American Institute of Steel Construction (AISC) haveinvested
wanted to ensure that students develop skills in not only project management but alsoworking in teams. The literature shows that Project Management Education needs to include apractical, hands-on project where students can use the theory they are learning to plan, manage,and execute a project with real stakeholders. Van der Horn and Killen found in their research inproject management education that courses in project management require more than justknowing the theory but rather having “lived experiences” and challenges for effective learning[1]. In addition, input from the university’s and department’s advisory boards demand thatstudents have project management skills that they can employ straight out of school.As part of redefining the course
forDesign Thinking in Engineering Education” is developed. By adapting a strategyframework for curriculum change, this study lays the groundwork for future researchinto the integration and effectiveness of design thinking within engineering education.1. INTRODUCTIONEngineering education is on the cusp of a paradigm shift towards a student-centered,flexible curriculum, personalized learning environments, and the transformation oflearning experiences into capabilities for students [1, 2]. Project-Based Learning(PBL) is often heralded as a model for future curricula [3]. Within this evolvinglandscape, the integration of design thinking into engineering education presents acomplex terrain filled with notable achievements and areas ripe for further
he taught Technology and Engineering classes at the middle school and university level. His current work revolves around the use of Adaptive Comparative Judgment for student design learning, STEM teaching professional development, and teacher preparation. ©American Society for Engineering Education, 2024Integration of Learning by Evaluating (LbE) within the 5E Instructional Model in EngineeringDesign Education IntroductionThe integration of the 5E Model [1], [2] into design thinking education represents a significantadvancement in pedagogical strategies [3], [4], [5], [6]. It is also widely used in fields like engineeringand technology where problem-solving
from the project. Thisproject will be a pilot study to develop an educational module on green building design forengineering educators.Keywords: Integrative Design, Sustainability, Green BuildingsIntroductionPublic demand has increased in recent decades to balance environmental, social, and economicoutcomes within sustainable development [1]. Engineering professions from industries andaccreditation boards have required that engineering graduates be able to think and design forsustainable development. Subsequently, the integration of sustainable development has become arelevant topic in higher education, and increasingly, universities are attempting to takeresponsibility as agents in promoting sustainable development principles [2][3
; and become global citizens, working in diverse groups and contexts [1-5]. Aseducators, we are tasked with designing a curriculum that ensures our students graduate with theknowledge, tools, and experiences needed to meet these desired outcomes. And as our fieldevolves and changes, so does our curriculum.Revising a curriculum is a time-intensive, complex process. In our efforts to make the process asefficient as possible, we can find ourselves focused on student outcomes to the exclusion of theconsideration of the people who will have to carry out that curriculum: faculty. If we want ourfaculty to experience shared ownership and responsibility over the curriculum and buy-in to theprocess of continual improvement for the sake of our students
structure the course in a way that would give students practiceand exposure to the way that designers and engineers might manage a project in a commercialproduct development workplace. The instructors also hoped to infuse the course with a designmindset, the qualities of which have been defined as being inquisitive and open, beingempathetic to others’ needs, being accepting of ambiguity, questioning critically, and a proclivityto taking purposeful action. [1] [2]This course redesign is a tale of two instructors. The first instructor, Annie Abell, is a careeracademic with an undergraduate degree in Mechanical Engineering and a graduate degree inDesign Research and Development, which allowed her to develop expertise in user-centereddesign and
society.Over the past few years, a team of faculty and students at Duke University have developededucational materials to develop and support faculty and student skills to do the important task of“needs finding.” For this paper, we will share a series of modules that support the followingeducational learning outcomes: 1) identify needs through observation; 2) identify needs throughinterviewing; and 3) write well-scoped need statements. Note that these materials can be usedacross all engineering disciplines and their design courses.A series of modules have been created for each of the learning outcomes. Each module containsfour to nine videos, multiple in-class exercises, and instructor resources. Together, the modulescould fill up to half a semester
evaluateperformance predictors. This system, while still in development, points towards future researchdirections in engineering education, exploring users’ affect-performance associations toimprove educational interventions, thereby offering more tailored and refined educationalexperiences. Keywords—Affect, educational assessment tool, personalized educational experiences, e-learning, learning system, real-time interventions, education technology. i. introduction Educational landscapes are evolving to be more flexible, adaptable, and technological [1]. Inthese tech-driven learning environments, the capacity to gather and analyze novel data enablesthe optimization of the learning experience. Researchers have explored diverse indicators suchas
and learn moment to moment in the laboratory. The practices students engage in during thelaboratory task may change and evolve to address different gaps.This analysis looks to observe how engineering epistemic practices are used by students to identify andfill gaps when completing a virtual laboratory activity. We seek a characterization that more expansivelyinterrogates laboratory activity than the acquisition of knowledge and skills. In this work we will seek toanswer the following research questions: 1. What epistemic practices does a team of undergraduate engineering students utilize during an industrially situated environmental engineering virtual laboratory task? 2. What gaps does the team identify in order to
assessment;artificial intelligence in educationIntroduction Research indicates that college and engineering students often lack essential skills requiredby employers, such as communication, decision-making, problem-solving, leadership, emotionalintelligence, and social ethics [1], [2]. This gap between college preparation and career demands isparticularly evident in the engineering field, where technical knowledge is prioritized over softskills like creativity, innovation, leadership, management, and teamwork [3]. Moreover, the shiftfrom traditional instruction to skill-based curricula has gained momentum in educational settingsto center the learner in education. This approach encourages students to engage in hands-onactivities, problem
can do engineering. Engineering Studies, 12(2), 82-103. https://doi.org/https://doi.org/10.1080/19378629.2020.1795181Secules, S., Gupta, A., Elby, A., & Turpen, C. (2018). Zooming Out from the Struggling Individual Student: An Account of the Cultural Construction of Engineering Ability in an Undergraduate Programming Class. Journal of Engineering Education, 107(1), 56-86.Secules, S., McCall, C., Mejia, J. A., Beebe, C., Masters, A. S., L. Sánchez‐Peña, M., & Svyantek, M. (2021). Positionality practices and dimensions of impact on equity research: A collaborative inquiry and call to the community. Journal of Engineering Education, 110(1), 19-43.Sochacka, N., Walther, J., Wilson, J., & Brewer, M
will also be reviewed to consider whether this impactdiffers for diverse student populations. This study is an early investigation into the impact ofcourse structure on retention in engineering that will be used to help guide future work aimed atoperationalizing how faculty can adjust their course structure to improve retention in engineeringprograms on a broader scale.IntroductionEngineering degrees are notoriously difficult to complete, with studies reporting that just overhalf of the students who embark on a journey toward an engineering degree actually complete it[1]. Despite ongoing attempts to improve this situation, this trend has unfortunately not seen anysizable changes of late [2]. Studies have confirmed that lacking the academic
Room was often at capacity during tutoring hours. Peertutors are a low-cost, community building way to provide more resources for student success.The implementation of ICPT has improved the peer tutoring program at University of Portland,and we plan to continue implementing ICPT in other classes and engineering disciplines.Paper Type: Evidence-Based PracticeKey Words: tutoring, peer learning, conceptual understanding, multidisciplinaryIntroductionPeer tutoring has been used extensively in the past 20 years, and many studies have shown that itis beneficial to student learning [1]-[5]. Peer tutoring is particularly helpful in the first two yearsof engineering, when most students leave engineering for other majors [6], [7]. Peer tutoring
someinsights into what item characteristics are related to item stability through the newly developedexploratory graph analysis (EGA; Golino & Epskamp, 2017) and bootstrap exploratory graph analysis(bootEGA; Christensen & Golino, 2021a), which provides a way to isolate the potential confounding ofsample differences. Specifically, using an engineering interest measure as an example, we explored therelationship between item stability and the following item characteristics: 1) network loading, 2) itemredundancy, 3) item mean, 4) item-total correlation, 5) item discrimination, and 6) item location. Theseindices were selected as they measure different aspects of item quality from different measurementframeworks, including network psychometrics
mathematics courses offered to all first-year Cadets at our university. Thisexpanded inquiry allows us to address three research questions: 1. Do we see the same instance of positive grade outcome for Cadets who are more closely aligned with their instructor for the advanced mathematics program? 2. Is there a similar correlation between instructor-student alignment in learning styles and overall student performance across first-year mathematics courses? If so, then... 3. Should we consider how we section our Cadets to assist in their success in their first-year mathematics programs, leading to a solid foundation for their engineering education? Assumptions
preparing students to meet the growingneeds of the industry and contribute to regional and global technological advancements.II. Introduction Focusing on theoretical knowledge dominates the engineering education landscape [1].However, the rapid changes in the modern world render this approach increasingly inadequatefor the engineering industry's needs [2]. This highlights the urgent need for a shift in educationalmodels to better equip students for real-world challenges [3]. In response to the need for moreauthentic engineering education, Innovation Based Learning (IBL) was developed. IBL is aneducational system encompassing various elements such as mastery, peer learning, review,mentorship, tokenized curriculum, and more [4]. Its core
Education, also from Virginia Tech. ©American Society for Engineering Education, 2024 Nontraditional students in engineering: Persona developmentIntroductionOver the past few decades, there has been a change in the general college population. What useto be a very “traditional” population, where students were coming straight from high school andwere primarily focused on school full-time, is now quite rare. The stereotypical image of acollege students is not in fact the reality anymore.The National Center for Education Statistics has found that between 1995 to 2012, more than 70percent of all undergraduates had at least one nontraditional characteristic [1]. Nontraditionalstudents’ experiences are rarely
instructors' teaching. In this article, we will delve into thedevelopment, implementation, and challenges faced by the student observer initiative. Thecollected data shows highly positive feedback from both students and faculty regarding thisprocess.Keywords: Student Observers, Teaching Evaluation, Electric EngineeringIntroductionStudent evaluations of teaching (SETs) have long been a cornerstone of assessing facultyteaching effectiveness in higher education. There has been a plethora of research on SETs inliterature dating back to the early 1900s [1], [2]. SETs data are often used for various purposes,such as improving teaching, informing curriculum development, rewarding or promoting faculty,and satisfying accreditation requirements. Different
there are a myriad of reasonsthat instructors may decide to forgo live demonstrations, two common reasons for doing so arethat they doubt the effectiveness of live demonstrations, or that the time required to develop andimplement an effective demonstration prohibits instructors from utilizing them.As a result of the COVID-19 pandemic, instructors around the world were forced to adapt theircourses to be delivered remotely. While the vast majority of classes have returned to traditionalin-person formats, instructors retain the skills required to produce effective teaching videos. Ithas been shown that online laboratory activities can have some unique advantages [1]. Thispresents an opportunity for instructors to develop pre-recorded demonstration