. The self-assessment form can be found in Appendix A. In general, very few students are aware of ABETor of its student outcomes [11]. By having the students participate in the self-assessment processand reflect on their experiences, each student is able to identify outcomes which have not beenachieved and develop a plan to achieve all ABET outcomes prior to graduation. This proactiveself-assessment prompts students to identify weak points in their education and has the potentialto shape better student outcomes, filling all the ABET student outcomes and preparing studentsto be well-rounded engineers.[12]. The two senior semesters of IBL allow the students to directtheir learning and create their own learning experiences to address these
you understand those concepts very well you won’t have to waste more time relearning it.” “Review your Physics II before you start the class.” “Do well in University Physics 2” Needs for Visualization “Bringing more visualization would be helpful.” “I would have preferred more visual aids, specifically animations of the fields.”Conditions and Constraints in Class EnvironmentThe class environment plays a pivotal role in fostering effective learning and holds significantimportance in shaping the educational experience for students. It is useful to clarify the classenvironment for both universities along with the constraints so that it reflects better howvisualization tools and trials work. Both institutions adopt typical university classes and
community workshop where members shareaccess to tools in order to produce physical goods” [5]. In a recent literature review, Mersanddefined a makerspace as “an area that provides materials and tools to encourage individuals orgroups to make things, to create new knowledge, or to solve problems” [6]. In educationalcontexts, makerspaces should provide access to defining elements of the Maker movement,including digital tools, community infrastructure, and “the maker mindset,” involving a positiveview of failure and focus on collaboration [7].While these definitions do not mention gender or race, they may reflect a bias of the predominantusers of makerspaces [8], as makerspaces have, at times, struggled to adequately serve a broadcommunity [9]. Rather
as reflected in ENGR350 projects; and (3) promotion of diversity inthe regional technology workforce.4. Second Year ResultsRecruitment, Retention, and DemographicsThe program began the [inaugural] 2022-23 academic year with ten scholars enrolled. Onescholar left the program after the fall 2022 semester due to academic difficulties. Two scholarsleft the program after the spring 2023 semester to attend other institutions. The program retainedseven students to begin the 2023-24 academic year. As shown in Table 2, the program has acapacity of twenty-four participants in the second year. Thus, recruiting for fall 2023 aimed tofill seventeen available seats.The recruiting campaign began with an email solicitation to students who had been accepted
for all students.Within the context of this project, the course redesign process is guided by a set of faculty-created standards for neuroinclusive teaching, known within the project as I-Standards; thesestandards have undergone multiple iterations to reflect the team’s understanding of current bestpractices. The standards were developed along with experts from the university’s Center forExcellence in Teaching and Learning and the School of Education. Anchored in a strengths-based approach to neurodiversity, the standards focus on three main areas: 1) building a cultureof inclusion, 2) instructional design and inclusive teaching practices, and 3) enhancingcommunication and supports for students [41]. The teaching and learning standards are
and retooling stated learning outcomes.PBL approaches across engineeringPBL is an instructional approach that platforms a student-centered classroom dynamic, andrequires teamed students to propose solutions for open-ended, discipline-specific problems andprocesses. Students produce results that can be assessed with outcome-based standards. As afinal project phase, students are invited to reflect on their problem-solving posture, identifyingopportunities and gaps in their knowledge [16]. As supported by findings in cognitive science,true learning requires higher energy cost for the brain. Connecting old and new informationsupports deeper integration, learning, and memory retrieval, a consolidation process that isstrengthened by self-reflection
exams are well written [2]. Even in the context of standardized testing ithas been found that student GRE scores compared to student written responses had a highcorrelation between the results [3]. Multiple-choice tests can be valid assessment instruments ifwritten correctly, which has led to many concept inventories being created in STEM, like theMechanics Diagnostic Test, Force Concept Inventory, Statics Concept Inventory, DynamicsConcept Inventory, and many others [2, 4, 5].Often MCT are used as pre-/post-tests to try to identify changes in learning. The quantitative resultsof these multiple-choice tests provide easy comparison data when looked at from a pre-/post-testanalysis, but the scores do not always adequately reflect a learning
using active andcollaborative learning pedagogical approaches. For the course project, the first-year studentswere required to design a 65,000 ft2 community park on a brownfield site in Charleston, SC, witha $5,000,00 budget for site cleanup and redevelopment. A few assessments were implemented,including weekly summary reports, poster creation, presentations, peer evaluation on teamwork,reflection assignment, and a survey. This paper discusses the redesign of the course through thebackward design approach, the implementation of project-based learning, and the assessment ofactivities. Additionally, it provides insights into its implementations in other institutions.BackgroundEML has emerged as a relevant educational approach fostering an
timeline that reflects theresearcher’s tenure at the university. At this level, faculty members can tailor meaningful projectsfor researchers over a set period. The last and broadest level of participation is short-termengagement through undergraduate and graduate courses. For short-term engagement, studentsparticipate in community-based class projects for one semester or can take elective courses thatoffer community-based research. With short-term engagement, students apply concepts ofcommunity-based research. This participatory approach serves as an opportunity for students toconduct research and advance into mid-term engagement opportunities (Figure 1). These levels ofengagement provide a more diverse audience that is engaged in community-based
learn. For example, according to the Carnegie Initiative on the Doctorate, a well-structured program should be purposeful (i.e., programmatic requirements and elements should be aligned with specific goals). It should also be created by a process of iterative individual and collective reflection, transparent (i.e., collectively understood by the faculty and graduate students), and accessible (i.e., elements can be evaluated in terms of their contribution in achieving the purposes of the program) (Golde et al., 2006).● A cascading mentorship model works well, in which members of research groups receive mentorship from more senior members and provide it to more junior members (Feldon et al., 2019).● Institutional
to enhance Hispanic/Latino transfer student success. ©American Society for Engineering Education, 2024 Investigating Motivation and Self-Regulated Learning for Students in a Fundamental Engineering CourseAbstractMotivation and self-regulated learning (SRL) are two interconnected constructs that are criticalfor student learning, especially for those in challenging fundamental engineering courses such asThermodynamics. Each of these elements are integral to the learning process and typicallyimpact one another, as fostering motivation can lead to improved self-regulatory skills. SRL isdescribed as a cyclical process where students plan, set goals, monitor learning, and reflect tofurther plan
different passives, sensors, andperipherals to the MKR Motor Carrier, including resistors, potentiometers, FSRs, motors, servos,encoders, accelerometers, Hall-effect sensors, ultrasonic sensors, infrared reflectance sensors,and photoresistors.Software DesignThe Arduino MKR was programmed to establish a wireless access point and await commandsover UDP from an external device (e.g., a student running MATLAB on a laptop or classroomdesktop). The MKR remains waiting, responding to commands as they are received.When a command is received to read from a peripheral device or a GPIO pin, for example, theArduino responds with the value. Several data streams have been established to facilitate datatransfer when several different data values are needed, which
inquiries and discussions have brought to light several issues with thereliability and validity of SETs as the primary measure of teaching quality. There is mountingevidence that end-of-semester evaluations are biased and represent an imperfect measure of aninstructor's performance. They may not accurately reflect the true quality of teaching, or at thevery least, they are unfair [6], [7], [8].Transitioning from traditional paper-based surveys to electronic ones in higher education, whilecost-effective, presented certain drawbacks, particularly in terms of significantly reducedresponse rates, which led to skepticism about the validity and reliability of SETs [9], [10].The limitations of SETs have led to continuous calls for a more comprehensive and
by instructional designers at thePennsylvania State University to help ADDIE support diversity, equity, and inclusion in theclassroom [11]. In a way, it combines ADDIE with UDL while maintaining the easy-to-followprocess of course design.In the following descriptions below, the individual developing the lesson or course is referred toas the designer. The designer may also be the instructor of that course.Breaking Down Each LetterAnalyze - The designer defines the problem and establishes learning outcomes. The designer alsoassesses the existing knowledge and skills of learners, as well as the learning environment. • Introspection - The designer reflects on their personal and professional identity and worldview, considers classroom
courses are so rigorous that the cost of fully engaging intheir engineering courses is high.Consistent with existing literature that use multiple elements of value to investigate the nuancesin academic outcomes [28], [29], [32], this study uses items that both reflect intrinsic and utilityvalue. In addition to expectancy and value measures, several control variables are relevant to thisstudy of cognitive engagement. Specifically, we control for gender, race, ethnicity, familyincome, first generation status, and international student status in our regression models. We alsostudy the contribution of broad prior interests (to pursue engineering) as well as more specificintrinsic interests to self-efficacy, value, and ultimately to cognitive
necessitate covering aspects from adiverse range of topics, including fundamentals of digital design, computer architecture, parallelprogramming, and systems thinking. Although such concepts naturally intersect within thediscipline of computer engineering, structural considerations within our master’s programs anddisparate prior knowledge within our cohort entail students inherently experience the subject asinterdisciplinary in nature. This presents numerous challenges in subject design but offers anopportunity for developing interdisciplinary competencies and an appreciation for otherdisciplinary ways of thinking. Based on instructor observations while teaching, we reflect on thesuccesses and shortcomings in the subject’s design that impact
populated by male students. Among the faculty members present was the First-Year Engineering Programs Coordinator, who posed questions about the program and soughtsuggestions on how OWISE and other faculty members could enhance and support their first-year experience.The students expressed positive reflections on their first year but highlighted certain aspects ofthe course that felt intimidating. Many shared their experiences of entering classespredominantly composed of male students, feeling overwhelmed and uncertain about where tosit—a notable departure from their high school environments. Additionally, they conveyedfeelings of under-confidence and intimidation, particularly when dealing with fabricationequipment used in the courses. There was a
curriculum needs to support students' development of representational fluencybetter.Appropriately integrating sociotechnical design problems into the curriculum can supportstudents' development of engineering skills, practices, and conceptual understanding whilealso learning design [14], [15]. Sociotechnical problems are design problems that includesocial and technical constraints [16], [17]. Addressing sociotechnical problems reflects theprofessional workplace in which engineers typically address and solve engineering problemsthat merge social and technical constraints [8], [16], [18]. By exploring the students'representational practices and skills, we can design appropriate scaffolds that support them indeveloping expertise. This research aims to
design and manufacturing. Chijhi is a teaching assistant in the College of Engineering Education, instructing the Transforming Ideas to Innovation I & II courses, which introduce first-year students to the engineering profession using multidisciplinary, societally relevant content.Dr. Robert P. Loweth, Purdue University Robert P. Loweth (he/him) is a Visiting Assistant Professor in the School of Engineering Education at Purdue University. His research explores how engineering students and practitioners engage stakeholders in their engineering projects, reflect on their social identities, and consider the broader societal contexts of their engineering work. The goals of his research are 1) to develop tools and
member’s pre-existing social capital. The cultivation of these relationships in L&L is also reflected inthe culture of the space, as described by participant 5 . ”[L&L] is kind of a very open, inclusive culture. It’s very similar to the ESED culture. [...] Everyone seems to like, get along. They’re happy to see one another and talk.” - Participant 5Participant 5 describes the culture of L&L as inclusive and open. Their statement shows how social capital is facilitated throughL&L, as it promotes an environment where individuals feel welcomed while they join together to discuss education research.L&L provides a semi-formal space to develop graduate student relationships. The semi-formal register of the space is intendedto
, quantitative and qualitative approach to fully comprehendwhat happens holistically during the immersion experience. The goal should be not just to collectobjective data with validated psychometric instruments such as the IDI, but rather to obtain morenuanced insights into the students’ study abroad experience and processing of their sojournsabroad through qualitative analysis of student reflections. Similarly, Cohen et al [10] argue thatsolely relying on quantitative assessment may not bring to light important nuances of thecomplex experience abroad. Likewise, Streitwieser and Light [11] call for placing emphasis onindividual student perceptions and reflections. Most recently, Mu et al [12] have shown thatimportant insights can be gained when zeroing
,reflection notes writing, fits the objectives of the present study of finding whether the machinelearning-based data analysis resulting in similar and usable results as compared with the analysisresults from the inductive process of the grounded theory. Raised as a theory-construction methodthat takes data as the basis for theories to emerge, grounded theory has a unique fit with themachine learning-based analysis approach in that both are inductive in nature.Machine learning (ML)-based or mixed approachesPreviously researchers have conducted ML-based analysis on the sentiment of financial newsreports or labeled information of survey questions [7]. Sentiment analysis is a classification taskthat can be handled by manual labeling of a small set of
processes. Students worked in groups tocreate 3D parts with cultural or historical perspective. Students searched for art forms, traditions, socialhabits, and rituals from the chosen cultural background or a significant time in history and used it asinspiration to create unique CAD designs and then 3D printed models. Students were required to incorporatethe best DfAM practices required to successfully design a part using additive manufacturing. Each studentgroup prepared a poster that was shared in a gallery walk [17]. Everyone explored the variety of culturallyand historically inspired projects during the gallery walk and self-reflected on the information in an essay.Students were encouraged to include thoughts on unconscious bias, norms, habits
countries. his student underscores a motivation for a more equitable world due to the perceived harmTcaused by their high-income country, particularly in terms of the environmental degradation that will affect low-resource communities.I n summary, while the motivations varied among students, this study identified all students at one point expressing a motivation for social justice, often using vocabularies such as justice and equality. While this exploration was not exhaustive in capturing the entirety of students' experiences, we found that students reflected on a spectrum of emotions. These include a sense of solidarity with marginalized populations they once lived with, drawing inspiration from the resilience and
scenarios, students are trained to apply engineering ethics knowledge to practice.Implement educational reform in the form of debate competitions, and conduct engineeringethics debate competitions in various engineering ethics course teaching classes. Practical activities not only fully leverage the leading role of teachers, but also reflect thesubjectivity of students. Student debaters can gain a deeper understanding of the basic concepts,principles, guidelines, moral values, public safety obligations, social responsibilities, and otherelements of engineering ethics from different perspectives through discussions and in-depthanalysis of the topic. This can enhance moral awareness, cultivate moral emotions, and regulatemoral behavior. Under the
It has been well established that for adult learning to occur, motivation and reflection must be present[19]. To achieve intrinsic motivation, the learner must have a sense of autonomy, competence, and afeeling of belonging [20]. Educators play a multifaceted role in promoting those needs by activelyfacilitating inclusive and engaging learning experience while tailoring their approach to meet the diverseneeds of adult learning, thereby promoting autonomy and competence[21]. When learners collaborate ona PBL assignment, intrinsic motivation can either be enhanced or disturbed. The determinant factors ofintrinsic motivation level in this case are self-evaluation, attitude of the learning about education, and theimportance of goals [19]. When
valuable guidance forfuture educational strategies and policies.keywords: curricular complexity, causal inference, student success, graduation rates, educationaldata mining1 IntroductionCurriculum complexity, an intrinsic characteristic of educational programs, has increasingly be-come a focal point of academic research due to its presumed impact on student performance. Thearchitecture of a curriculum – encompassing the breadth and depth of content, the sequencingof subjects, and the interplay of various pedagogical approaches – directly influences the learningenvironment. This influence is often reflected in key educational outcomes such as student engage-ment, comprehension, retention, and graduation rates. The complexity of a curriculum
learning in the classroom with real-world experiences in thecommunity. Studying abroad provides students with opportunities to learn how to navigatedifferent cultures, work with diverse peers, and gain new perspectives and global awareness. TheMercer on Mission (MOM) program at Mercer University in Macon, GA bridges service-learning with short-term, faculty-led study abroad opportunities to provide transformativeexperiences for students through academic instruction, cultural immersion, applied research,meaningful service, and personal reflection. In this study, the MOM program was evaluated forits impact on student participants. Program evaluation included a holistic assessment of theprogram. Research goals included evaluation of effectiveness in
answers." This statement reflects the idea that data science involves more than just numerical analysis; it requires an integration of subject matter expertise to ensure meaningful interpretations. • Another perspective offered was, "Data is in sensors and economics in chemical engineering; data science is interpreting these values and creating a story." This view emphasizes the narrative aspect of data science, where data from diverse sources is synthesized into coherent stories that inform decision-making processes.Unsure What Data/Data Science IsA segment of the participants expressed uncertainty about the precise definitions of data and datascience, reflecting a perception of these concepts as
will detail our methodology, present our findings, and discuss the benefitsand limitations of integrating ChatGPT into qualitative analysis for engineering educationresearch.MethodsTo gather qualitative data, our team devised a semi-structured interview protocol comprisingfour segments: introduction and warm-up, engineering identity, teamwork, and conclusion.When time permitted, we asked the interviewees to reflect upon stories of practicing engineers,which were compiled from publicly accessible accounts of the day-to-day experiences ofpracticing engineers. This interview framework and other relevant aspects of our research designreceived approval from our institution’s Institutional Review Board.Throughout the RIEF project, we conducted a