both theoretical and practical aspects.9. Self-Assessment and • Learning Journal: Throughout the course students will maintainReflection a learning journal in which they reflect on their progress, challenges, and areas for improvement. This encourages self- assessment and continuous learning.10. Problem-Solving • Model Optimization Challenge: During several labs studentsChallenges will receive suboptimal PyTorch model code and will work in groups to optimize it, assessing their problem-solving skills. 11. Real-World • Engineering Application Report: Students are tasked with Application Report identifying a
perspective of a mentee who latertransitioned into a mentor at the admin/management level, this does not reflect a full view of astudent perspective. Instead, it highlights a unique trajectory stemming from a successfulmentorship program. Future studies could achieve a more nuanced understanding of thedynamics within mentorship programs by interviewing both mentees and mentors. Thisapproach would explore how the experiences of students/mentees influence these programs andcontribute to the reciprocal relationship often highlighted in interviews as a key aspect of thementee/mentor relationship.Only one student was interviewed, while the remaining three sites involvedadmin/management-level staff. This does not reflect a full view of the “student
as acomplementary or alternative approach connecting problem-based learning (PBL) to the realworld but also enhance student satisfaction, as shown in the study by Vrellis, Avouris, andMikropoulos [21]. Their study revealed that students expressed higher satisfaction whileperforming activities on the reflection of light in Multi-User Virtual Environments (MUVE)compared to real-world scenarios.Furthermore, Cobb et al.'s study [22] supports the idea of using virtual laboratories beforereal-world experiments to enhance student preparation and organization, thereby reducing thedemand for demonstrator time. The study also revealed that virtual labs effectively facilitatedlearning gains and were well-received by students, underscoring the potential
acrylic specimens subjected totension and torsion loading. Isotropic bodies subject to a two-dimensional stress, while withintheir elastic limit, will reflect light like a doubly refracting crystal [25]. The authors used twopolarizing filters; one between the camera and the specimen and one at a ninety-degreeorientation to the other between the specimen and a light source, as shown in Figure 7 for bothtension and torsion tests. Due to the directional light requirements and the resulting low light, astandard video camera at 60 frames per second was utilized for video capture. Additionally, theauthors did not utilize the high-speed camera for capture because it only records black and whitevideo. This negates the capture of visually stunning and
research [44].3. METHODOLOGYThe methodology employed in this study consisted of a review process of the coursesyllabi, encompassing a detailed examination of individual modules and coursesegments. The primary aim was to identify the presence of design thinking embeddedwithin the curriculum. The initial phase of the review process involved a preliminaryexamination of the course content, facilitating the early identification of elementsrelevant to design thinking. In the coding phase, the accumulated data were classifiedaccording to predetermined criteria that reflected the implementation aspects ofdesign thinking within the educational offerings.The methodology adhered to a three-pronged search principle, focusing on:Design Thinking as Process
begun to address how computing education needs to change to reflect the newprofessional landscape graduates are entering where employees are expected to seamlesslyintegrate GenAI tools into their workflows for improved efficiency. Some faculty are providingGenAI tools to be used during the course, such as Harvard’s CS50 Duck Debugger, allowingstudents to practice leveraging such tools. Others are diving into the deeper pedagogicalimplications, such as Agarwal and colleagues [12], who highlight that teachers might need toshift focus from students' ability to write code from scratch to students' ability to critique code,potentially through the use of refute-style assessments.Turning to the students themselves, researchers conducted surveys to get
burgeoning expertise in the field. Now, as a graduate student majoring in Advanced Computing, Ejiga is not only expanding his academic horizons but also actively contributing to the evolving landscape of engineering education. His role in the pedagogy project reflects a keen interest in developing educational strategies that are more interactive and hands-on, a testament to his dedication to enhancing learning experiences in engineering. Ejiga’s background in computer science, combined with his current focus on advanced computing, positions him uniquely to contribute significantly to both his department and the broader academic community.Oluwapemiisin Gbemisola Akingbola, Morgan State University Masters student Of
entity recognition [33]. While early automated feedback systemsrelied on domain-expert rules and were limited in addressing the diversity of open-endedassignments [34-36], data-driven approaches, though promising in highly semantically diverseresponses, often face challenges due to the lack of extensive training datasets [4, 37, 38].AFS based on LLMs holds the potential for a more effective and efficient solution. Applicationsrange from personalized hints for programming assignments [39] to reflective writing [40],including feedback on the appropriateness of the topic of a data science project proposal and thedescription clarity of goals, benefits, novelty and overall clarity of the report [41]. Despite thepromising results from studies like Dai
• Is your assignment prompt visually organized and accessible? • How can you scaffold this assignment with smaller “stepping stones” assignments? • Can you analyze examples in class to distinguish between excellent and adequate work? Additional • How will you encourage creativity so that examples are not seen as templates? Considerations • Will students have the opportunity to engage in peer review before final submission? • How will students reflect and comment on their completed, graded work after evaluation to identify what they did well and changes to
-oriented skills into the curricula with our regular annual career-oriented departmental co-curricular events. And since these are under our direct control, the synchronization is not likelyto be broken without the knowledge of the departmental faculty.Thus, we believe we have set ourselves up to maintain this strategic reimagining of our EE andCMPE programs. This is because (1) professional formation is not relegated to a single coursethat could be discontinued under budgetary pressures or mostly avoided by some students, and(2) because it is not a loose suggestion that a few junior faculty handle some added material, buta careful plan that comes with ready-to-teach modules on relevant technical topics—owned byall, reflected in each set of our
questionsFinally, the results of the open-ended questions in the survey will be presented. The firstquestion invited students to leave additional comments about the importance of the coursein an engineering program. Student response to the engineering course reflects a mixture ofappreciation and criticism. On the one hand, some students value the course for developingand expanding their ability to evaluate everyday situations methodically, which contributesto a better adaptation in the workplace, regardless of the direct use of the syllabus learned.However, others express frustration at being unable to understand key concepts, such asvoltage, resistance, impedance, and coil operation, pointing to a disconnect between theresolution of exercises and the
“Leadership as an Alienating Social Myth”: Disciplinary fissures as a catalyst to interdisciplinary understandingAbstractAs an interdisciplinary field, engineering education involves regular interaction between people trained in the socialsciences, humanities, and engineering. What happens when professors, staff, and students socialized in disciplineswith distinct epistemic traditions come together to educate the next generation? In this paper, I reflect on myexperience as a social science researcher working in engineering education, using five moments of disciplinaryconfusion to trace my steep learning curve. These five moments taught me about paradigm shifts, acceptable sourcesof research funding, research
appropriate category (e.g., cereals, pastries, beverages) and that allentries are accurately labeled to reflect their nutritional content.Additionally, they are taught to identify and correct any inconsistencies, such as duplicatedentries, missing data, or erroneous values, to improve the reliability and validity of theiranalyses. To enhance their analytical skills, students learn to calculate averages using GoogleSheets by utilizing appropriate tabs and function keys, such as “=AVERAGE (range)” fordetermining the mean value of a data set. They are also guided on how to perform basiccalculations like summing totals with “=SUM (range)” and creating graphical representations,such as bar charts and pie charts, to visually communicate their
, bridge programs, transfersupport, undergraduate research, industry and faculty mentors, and conference and writingworkshops. These each contribute to the S-STEM community college success as they navigatetheir career in the community college and their goals beyond. The breadth and depth of differentsupport reflects the unique needs of the campus where the S-STEM grant originated. Eachcampus or consortium of campuses creates their own program and therefore emphasizes differentapproaches to curricular and co-curricular supports.Lack of theory focussed program in implementation of S-STEM Program 2 Through the systematic literature review, we
success.In the proposed approach, students engage in projects that not only address real-world problemsor challenges but also contribute to serving the needs of a community or organization - when adeliverable is created and shared with the community. These projects typically involveidentifying community needs (Step 2), designing and implementing solutions (Step 1), collectingand processing data (Steps 3 and 4), and reflecting on the impact of their work on both learningoutcomes and community well-being (Step 5).The set of sensors used in the proposed approach can be seen in Figure 2, where the cameras areshown in detail (Figure 2.a), and also the system assembled on top of a vehicle is presented(Figure 2.b). It used five GoPro cameras (three
paper entitled Engineering Leadership: Bridging the Culture Gap in EngineeringEducation [1] we argued that a major barrier to change in engineering education, including theincorporation of engineering leadership into the curriculum, is the culture that exists in ourinstitutions. We proposed that the elements and dynamics of this culture can be examined in theform of co-contraries (or opposites that need each other) and that the relative emphasis in theseco-contraries reflects the engineering educational culture in a department, an institution or inengineering education as a whole. Example cultural co-contraries identified include: the powerdistance dynamic between the student and the professor; the nature of the distribution of effortbetween
-based project work has also been found to be ahave a significant positive influence on retention [5]. An integrative team-based learning projectutilized in another entry level undergraduate computer science course was observed to helpstudents forge connections between the topics covered in the separate modules of the course anddemonstrate how that content could be integrated and synthesized to solve a problem [6].Improvements were noted in both student attendance and engagement. Including reflectionfocused team meetings as part of a team-based project was observed to improve the developmentof reflective skills important for addressing difficult engineering problems [15].Project-based LearningProject-based learning is a popular and engaging
within the college or university, all can impact the capstone experience [1, 9-11]. Given theirimportance, along with ABET accreditation requirements, capstones require continued reflection andevolution to keep the academic experience relevant and impactful [8,12]. One way to keep capstones relevant is to review/assess what other similar programs areincorporating into their programs in regard to means, methods, and trends [12-13]. A review of publishedcapstone papers has shown limited documented successes and struggles by AE educators as compared toother engineering majors [13-15]. The majority of papers focus on the delivery, assessment, andengagement aspects [14,16]. This paper seeks to expand the earlier studies [14-15] to focus on
can have a profound effect on motivation to learn andpersist to degree completion. Undeniably, student interest can change over time and majoring insomething other than a student’s initial interest at the time of university or college matriculationshould be encouraged based on exploration and self-reflection. However, there are policies basedon capacity limits in majors and constraints such as classroom capacity and course offerings thatschools grapple with which exclude students from their interest. From literature, we know thatabout half of females interested in engineering actually enter the major they were initiallyinterested in during their first year [1]. While there is some engineering education research whichexamines entry into
mentorship indicators. Fromthere, the researcher sought out additional literature. After having read and reflected on theinformation, the researcher constructed a draft conceptual framework for the purposes ofcategorizing and conceptualizing the types of mentorship, including traditional, effective, andcritical mentorship, as well as identifying the relevant mentorship indicators associated with thesementorship types.3.2 Scoping ReviewFor this study, a scoping review protocol based on Arksey and O’Malley’s framework [4] wasutilized as described previously [5]. Scoping reviews are useful when probing the literature as theyemulate the rigor of systematic reviews while keeping laser-focused on answering the researchquestions [4], [5]. Scoping reviews
Diffusion in Polymer Networks. Her research interests include polymer physics, nanoparticle diffusion, and engineering and physics education.Steven Warth, Austin Peay State University Steven Warth is an undergraduate researcher, who attended a STEM program throughout half of his time in high school. Currently pursuing a bachelors degree in engineering physics.Dr. Bobette Bouton, Austin Peay State University Dr. Bobette Bouton is an associate professor at Austin Peay State University. Her current area of research is socio-emotional development in the domain of empathy. She is a Deweyan Pragmatist who focuses on student-centered teaching and reflection. She also is working toward making higher education a more socially
The sociotransformative constructivism theoretical framework informed the curriculumchoices. Prior work on designing STEM curriculum for middle grade students has applied thisframework to guide similar choices5. In applying this framework, we sought to ensure that theactivities and assessments emphasized the elements of sociotransformative constructivism:dialogic conversations, authentic activity, metacognition, and reflexivity. To do this, we gatheredinitial information from the participating community educators through the application process(see description below) in order to inform the creation of authentic activities that reflect the skillsof geospatial professionals contextualized to the locations of the camps. We hope to co-createsome
challenging dominant narratives and fostering inclusive and equitablepractices. By engaging in self-reflection and critical dialogue, engineers can better recognize thesocial implications of their work, identify potential sources of bias or discrimination, and strivetowards more ethical and socially responsible solutions. Critical reflexivity, thus, encouragescollaboration and interdisciplinary engagement, inviting engineering students to consider diverseperspectives and alternative approaches to problem-solving.Pilot Study The initial step in this pilot study entailed selecting a tissue mechanics course that is partof an undergraduate biomedical engineering program. The course consisted of a ‘lecture-driven’,traditional teaching environment
] frameworks were most appropriate for the developing study.Next StepsThe initial research results will be used to develop the qualitative methods for the secondphase of the research project.Further, the PI will continue to advance her engineering education research capacity byparticipating in additional workshops, such as the Modern Meta-Analysis Research Institute.AcknowledgementThis material is based upon work supported by the National Science Foundation under NSFGrant Number 2225399. Any opinions, findings, and conclusions or recommendations expressedin this material are those of the authors and do not necessarily reflect the views of the NationalScience Foundation.Bibliography[1] United States Census Bureau, “The Chance That Two People Chosen at
elicited in the physical mode, while more conceptual practices were elicited in the virtual mode, and approximately the same amount of social practices were elicited in each mode. • Physical and virtual laboratories can be complementary, each targeting a specific set of epistemic practices, creating a learning outcome more reflective of real engineering practice. • The instructional design, instructor framing, and student activity need to align with the affordances of the laboratory modes to produce a complementary outcome. This means implementing the laboratories in a way that positions the affordances of each to be maximally leveraged by students.Broader ImpactsWe have the
demonstrate increased ideation in the form of student conceptualdesigns, as hypothesized, they do indicate that students made critical connections betweenbiological and engineering design concepts. In nearly all design cases, students were able toarticulate one or more patterns in biology and how their design mimicked those patterns. We alsosaw evidence that students made modest structural changes in design revisions that resembledthose found in biological patterns, including (a) adding IR reflective material to reflect or containheat and (b) adding layers of different functional insulators. While these changes were alsopresent in existing solutions and could have been copied from there, many student teamsexplicitly connected (and credited) the
a need to strengthen K-12 computing educationresearch (CER) and to ensure that the research holistically is reflective of the students wecollectively teach. This includes increasing the volume and quality of studies, and pinpointingresearch gaps that ensure all students’ learning needs are met. To address these issues, ourNational Science Foundation (NSF) project investigates three key questions: RQ1: How comprehensive is K-12 CER when examined with a specific lens on how it explicitly addresses broadening participation in computing or equity goals? RQ2: What are the barriers that prevent K-12 computing education researchers from conducting research across the four components of CAPE? RQ3: How effective are new
STEM education programs: Reflections on, and implications for, the NSF ITEST program," Journal of Science Education and Technology, vol. 25, no. 6, pp. 847–858, 2016. [Online]. Available: https://doi.org/10.1007/s10956-016-9632-6.[2] The Cochrane Collaboration, Cochrane Handbook for Systematic Reviews of Interventions Version 5.1.0, 2011. [Online]. Available: www.handbook.cochrane.org.[3] The Campbell Collaboration, Campbell systematic reviews: Policies and guidelines. Campbell Policies and Guidelines Series No. 1, Jan. 10, 2019. [Online]. DOI: 10.4073/cpg.2016.1.[4] M. Borenstein, J. P. Higgins, L. V. Hedges, and H. R. Rothstein, "Basics of meta‐analysis: I2 is not an absolute measure of
are reflected in numerous publications and presentations at prestigious IEEE; ASEE conferences, Wiley’s & Springer Journals. His research primarily revolves around understanding Cognitive Engagement Analysis, Assessing Methods in Engineering Education, and Facial Expressions (emotions) in the Learning process. He is a member of various technical committees, serving as a reviewer for esteemed journals and international conferences including ASEE, Springer (JAIHC) , JCEN, and IEEE Transaction on Education. His commitment to advancing education, paired with his extensive academic and professional experiences, positions him as a promising researcher in engineering education.Dr. Angela Minichiello, Utah State
result reflecting the observation of Maharaj and Banta [11]. Despite thatacceptance, the bulk of the students displayed the typical attitude that writing has little ifanything to do with learning engineering statics, although a significant minority embraced theidea of writing being a part of engineering career practice. Because of their expected attitudetowards writing, students saw little if any benefit from requiring more writing in an engineeringstatics class. Again, those results conformed to expectations. However, three aspects of the resultsfrom the present work were unexpected. First, considering the substantial practical differencebetween mean exam grades shown in the inset table in Figure 2, a statistically significantdifference