terms for “thank you” and “you’rewelcome”) were used instead of “thank you” and “you’re welcome”. Using African terms exposedstudents to indigenous African languages, which aided in their immersion into the camp’s African-Centered learning environment. The closing exercise, “Community”, was another cultural practiceutilized. In traditional African societies, community leaders and members gathered to discuss importantmatters, with each individual’s perspective being seen as vital to the overall survival and success of thecollective (Etta et al., 2016). During Community, both students and instructors verbally reflected on theday’s events. The aim of this activity was to allow students to express their thoughts and feelings aboutwhat they
to each data set. As this is a work-in-progress, some subsections are placeholdersin reflection of ongoing study. Furthermore, in this paper, we provide high level summaries of keyconclusions from inspection of these data sets. Further data assimilation is ongoing work.1.1 Institutional CultureInstitutional culture in higher education is a vehicle for implementing organizational andinstitutional change [2]. The culture of an institution of higher education is shaped by numerousfactors, including demographic, economic, and political factors, as well as internal factors such asits history, and the processes that allow the institution to function [3]. Part of those processesinvolve things that can be assessed via survey, such as the Harvard
turn generate evaluation products reflecting their daily effortand commitment to learning. This poses an additional challenge to their learning."Aligned with the student's learning challenges, the educational strategy for improving theteaching-learning process aims to achieve the following objective: "To facilitate the student'sadaptation to the thematic context of the training unit, synthesizing the relevant knowledge tobe retained, and thus homogenizing knowledge among students, encouraging them to payattention and develop skills from the first day, where the results of their performance in theactivity allow them to generate and reflect their effort from day one."Based on the previous issue, various hypotheses about this problem can be
limited avenues to reflect and make sense of what they are doing, especially in the initialyears of the degree [16]. Similarly, Pausigere argues that strong sequencing and pacing (i.e., astronger framing) can impede learning of primary math concepts for poorer and working classchildren [23]. Thus, the framing aspect of recontextualization has considerable effects on studentexperiences and success in academic settings.Thus, it is undeniable that Bernstein’s theory of the pedagogic device including the framing rulescan provide important insights into understanding students’ learning experiences. Hence, thisstudy uses this theoretical framework to understand how knowledge derived from differentdisciplines is recontextualized in an electrical
questions. Others who wish to incorporate this framework may use the questionsas a starting point along with the bullet points above and make changes according to the applicationarea and as to what they see as relevant.ETHICAL REFLECTIONS There are 3 ethical re�lections that students complete during the course. The re�lections aredesigned to have students carefully consider their personal values and how those values are likely toplay out in their future professional lives. One of the concerns that I have had for a long time is that Isee a disconnect between the personal values of individuals whom I know personally that work forlarge tech companies and the ways that the companies that they work for act. While an individualdoes not have direct
The students will be able to compile and 6. The students will know different methods edit a video to summarize the project of effective communication takeaways 7. The students will value the importance of The students will be able to use team teamwork creation and evaluation software 8. The students will value the applications of The students will be able to reflect on the Biomedical Engineering to solving real-life roles and responsibilities of an engineer problems in the workplaceEvidence of Student LearningThis study was
faculty mentors. By intentionally structuringHIPs so that students participate in at least one each year, students will build and sustainacademic momentum toward timely completion (Kuh, High-impact Practices: what are they, whohas access to them, and why they matter, 2008)Additional Evidence-Based Elements in CAMThe following are among the evidence-based programs and practices that the CAM project willemploy. Table 2 summarizes some of these planned HIPs for the CAM scholars.E-Portfolios. The research team plans to introduce E-portfolios where students can reflect on andsynthesize their work in various courses and activities. Here they can collect, organize, andexhibit their work on collaborative projects, capstone projects, or undergraduate
determining the most efficient route between points within a given space [30]. The objectivesfor this ongoing project in graph-based path planning are outlined as follows: • According to the provided algorithms and pseudocode, students are required to draw BOTH a flow-chart and pseudocode to explain graph-based path planning methods. • Students are suggested to carry out path planning by revising the provided algorithms to create and analyze various graph structure. They are encouraged to adjust the graph construction parameters by varying the locations of vertices and edges to reflect different lines of sight around obstacles. Students should experiment with the placement of seed points and the impact on different
, intrapersonal, and interpersonal. The cognitive dimensionpertains to an individual's increasing ability to effectively process and comprehend information.Simultaneously, the intrapersonal dimension focuses on self-awareness, self-reflection, and theregulation of emotions and thoughts. Lastly, the interpersonal dimension involves an individual'scapacity to engage in and comprehend relationships with others, though the process ofdeveloping empathy and co-creating shared meaning. These dimensions represent distinct modesof development and influence how individuals perceive and interact with the world, themselves,and others. Following this framework, our study uses Kegan's theory to position developmentalideas associated with innovation and inform
data manipulation at a designatedmemory location.Figure 4: Visual depiction of data placement in the memory in the Data Segment of RARS after programexecution.3.2 Developing a Paint ApplicationIn the lab, students develop a simple "Paint" application on an emulated RISC-V system, akin to initialgraphical projects in HLL courses. This application uses keyboard inputs to create Bitmap displaypatterns, with color addresses representing pixels. The task involves setting a starting pixel and usingkeyboard commands for drawing, reflecting basic HLL logic operations and control flows. This lab'sstructure is in line with notional machine principles as described in [9], sharing pedagogical purposeswith lab 3.1. With regards to the Focus aspect, the
classroom, includinginstances of micro assaults, microinsults, and microinvalidation; and a facilitated metacognitivereflection on mentorship during which faculty shared reflections on their mentoring experiences,discussed common challenges, and lessons learned, which was repeated each semester [7], [8].Faculty mentors also supported one another with monthly 30-minute check-in meetings overZoom.Peer MentorshipThe ESP established peer mentoring during the second year of the program as a result of year onefindings that scholars desired to build community with their peers in addition to faculty mentors[7]. Peer mentors were comprised of preceding cohort members that were assigned duringorientation to the succeeding cohort members. Peer mentors and
) centered,' representing a comprehensive understanding of broadcontexts that considers social, cultural, political, economic, and environmental factors ofengineering work as well as intentional reflection on how an engineer’s identities and culturalcontexts shape their approaches to their work. The organization partners with instructors andother community stakeholders to develop a wide variety of socially engaged content that isdesigned to be adaptable to diverse contexts and instructional needs. C-SED’s content andeducational strategies are grounded in engineering education and design research and our teamregularly seeks feedback and collected data from instructor partners and students to inform ourefforts to refine and develop new educational
dynamics as a challenge when confronting discrimination or bias. Pressurefrom a group to avoid conflict or to not alienate oneself may be a strong driver of silence ininstances of prejudice.The last new code that emerged from the interviews was changed behavior. From the qualitativeanalysis of the open-ended responses in the surveys, the authors uncovered changed perspectiveas a code. There is a subtle difference between these two as defined by the researchers wherechanged behavior recognizes a new action or intended action from the participant based on anew learning or reflection whereas changed perspective might not result in an action. Thisdifferentiation is important for this study and the resulting goals as simply changing perspectivesor
, findings from student surveyshighlight the positive impact of various enrichment activities on academic success and the senseof community within the cohort. Specifically, supplemental instruction sessions, additionalFriday class meetings, weekly lunches, and cohorting were frequently cited by students asparticularly beneficial. However, it is important to acknowledge that many direct and indirectoutcomes can only be partially assessed at this intermediate stage. Nonetheless, current resultssuggest that the program is meeting or progressing towards its objectives. Notably, onemeasurable outcome is the improvement in academic performance. The program's enrichmentactivities have received positive feedback from students, reflected in measurable
could invest more time into their education, as mentioned by one male White electricalengineering: "I hope that I would be selected for this program in order to receive a financialsupport to decrease my work hours and put more time on my major.” Another white Male civilengineering student adds a personal perspective, stating, "I could have achieved more if I didn’tneed to spend time compensating for my cost of living and education. This program can possiblyassist me in erasing those worries." Some students reflect on their experience with other NSF-related or scholarship based programs at community colleges and how they were able to benefitfrom these programs. For example, one male Asian mechanical engineering student explainedthat, “I attended
challenges of the pandemic, with the number of participants exceeding the pre-pandemic number in 2023. FTC engages students with STEM concepts, offering them uniquehands-on experiences through project-based learning, which serves as an ideal “Practice”component in the proposed LPS framework. 2) The judge room presentation component of theFTC competitions requires students to document, reflect, and learn from their experiences andthis helps us gather necessary data to evaluate the design, implementation, and results of the LPSframework. 3) Compared with other educational robotics platforms such as VEX [20], B.E.S.T[21], and World Robot Olympiad (WRO) [22], FTC’s motto of Gracious Professionalism moreaccurately addresses the service component of the
qualitativedata.Results: This program reflects an embedded interdisciplinary educational program designscheme. On the one hand, the program satisfies the personalized learning needs ofinterdisciplinary students by designing a modular curriculum structure. On the other hand,open teaching platform plays an important role in supporting program operation, whichsolves the problem of dispersed interdisciplinary educational resources and effectivelyintegrates AI educational resources from different disciplines and subjects.Conclusion: This study has two main contributions. Firstly, we provided a referenceinstructional design scheme for AI educational program, which fills the current shortage ofresearch in AI education. Secondly, the research results also contribute to
sentiment to the subject, it is often commonly accepted that designtakes time and effort, and that a significant proportion of time needs to be dedicated toperform well, which students can then see as distracting from their other subjects andexamination preparation. Design is the culmination of all subject matters in engineering andgives students the opportunity to show their flare, engineering prowess, understanding ofcomplex concepts and most importantly how to apply theory to a real-life scenario. However,the perception from students and even some faculty members does not always reflect this. Toaddress concerns typically associated with the engineering design modules and to givestudents the time to fully dedicate to design, an innovative
, each with unique strengths and local challenges. Weuse a collective impact model, allowing each campus to contribute to the development,deployment, and continuous improvement of the curriculum. Our team is composed of computerscience educators and social scientists with expertise in evaluating inclusive STEM education andtraining faculty at Hispanic-Serving Institutions (HSIs). Our evaluation plan examines bothstudent and faculty outcomes, enabling us to reflect and refine our approach. Shared leadershipand site teams are integral to sustaining the work, even amid potential academic personnelchanges.Our research is impactful in the learning sciences for several reasons. It utilizes faculty learningcommunities as a vehicle to bring change to
analyze and apply, demanding adeeper level of cognitive engagement with the material and enhanced problem-solving abilitiesfrom the students. The crafting of course objectives, reflective of broader program aims, iscrucial for the success of a translational model that aligns educational outcomes withoverarching program goals.Experiential learning is essential to the education of aspiring engineers. Engineering combinestheory with practical application, requiring a learning approach that encompasses both for thesake of societal safety and integrity of the solutions engineers provide. Experiential learningoffers a diverse array of learning opportunities grounded in real-world experiences; inengineering education programs it is usually manifested as
information presented was not helpful for the scholars in theprogram because the presenters did not discuss the funding opportunities, which is essential forlower-income students, as we found in our qualitative study [4]. Hence, we asked the PIs tochange messaging around the grad school within computing, which was reflected in the recentyear showcase, and we find that the students’ understanding of graduate school functions hasimproved. Similarly, we are trying to bridge the gap between students’ perceptions of thesepathways and the institutional messaging around them. Being a stakeholder, the educationresearch team within Flit-GAP also plays an essential role in the computing education ecosystemto meet the students where they are.4 Methods: Data
of correct behaviors, identification of weaknesses,adaptation of strategies, and reflection on their learning process. The AI model dynamicallyrecommended personalized learning pathways based on students' progress. This multifacetedfeedback approach contributed to a more effective and engaging learning environment,ultimately leading to improved understanding and mastery of swarm intelligence concepts andalgorithms. Williamson et al. [5] revealed how Internet of Things (IoT) technology can replicatebrain functions within physical settings, enabling the sensing and comprehension of humancognitive behaviors. They also showed how this innovation enhances human cognition andperformance.AI-driven Gamification: AI-driven gamification in education
learning in engineering coursesAbstractFaculty traditionally have used a variety of individual and group-based learning activitiesincluding homework assignments, exams, projects, reflection papers, and presentations in aneffort to promote, enhance, assess, and evaluate students’ knowledge and learning. More currentresearch has suggested modifications to some of the historic assessment methodologies andtechnological advances that have potentially influenced the use of various assessmentapproaches. The authors pose the following question in this paper: How are faculty currentlyevaluating student learning and encouraging student success in engineering courses?This paper provides a summary of research into grading practices and then shares the results
skills, such as innovation, creativity, and project management.Keywords: Entrepreneurship, Collaborative Competencies, Pedagogical Model, TechnicalCareers, Ecuador.INTRODUCTIONThe dynamic global entrepreneurship landscape has undergone a significant transformation,playing a crucial role in economic development through collaboration with entrepreneurialprocesses [1]. The literature emphasizes that entrepreneurship goes beyond the simple creation ofcompanies, being an intrinsic attitude of human beings reflected in their ability to take risks,identify opportunities, and adapt to fluctuations in the labor market [2–6]. In this context, thedemand for entrepreneurial education has been increasing, highlighting its importance in creatingan
theindustry professionals are too removed from the first-year student experience to be helpful [19].The mentorship program at West Virginia University transitioned away from industry mentorsfor first-year students as they reflected that first-year students were not yet ready to interact withexperienced industry professionals [11]. Success in the early mentorship programs is often evaluated with surveys for self-efficacy,identity, social community, and/or sense of belonging [2,3,5,7,8,20], or with analysis ofacademic grades or retention in the program [5,8,16]. While mentorship programs are often totedas successful anecdotally, the data is not always as clear to indicate the benefits when comparedto those students not participating. Sense of
teaching approach, weleverage the insights of the HPL framework to explore how undergraduate engineering studentsinteract with data skills in relation to the HPL elements when reflecting on their own data skillslearning experiences. Our interview protocol, guided by the HPL framework, delves into studentperspectives on self-reflection, knowledge acquisition, and assessment related to data skills.4. METHODS4.1 Participant Recruitment and Selection.In this study conducted at a southeastern United States institution, 177 students completed arecruitment survey. All interested mechanical engineering (ME) students were automaticallyselected, as only a small number of participants were ME students. Meanwhile, interestedaerospace engineering (AE) students
school and causehim to stress about having to work, affecting his sleep, all of which would cause his grades todrop. Other students who did not work reflected on how the stress of trying to find a job wouldnegatively impact their studies. In this respect, the S-STEM scholarship helps students maintaina healthier study-work-life balance.Students also described how the scholarship freed them up to pursue jobs and internships alignedwith their academic and career interests. For example, one student had worked at a public utilitycompany in a field outside of his interests. S-STEM allowed him to become an undergraduateresearcher in a field of interest while also allowing him more free time. Students explained thatworking fewer hours opens up more
faculty member of the School of Engineering Education at Purdue University. She is currently a Professor in Biological Systems Engineering at the University of Nebraska - Lincoln. Her role in the College of Engineering at UNL is to lead the disciplinary-based education research initiative, establishing a cadre of engineering education research faculty in the engineering departments and creating a graduate program. Her research focuses on the development, implementation, and assessment of modeling and design activities with authentic engineering contexts; the design and implementation of learning objective-based grading for transparent and fair assessment; and the integration of reflection to develop self-directed
topical themes wereinitially identified by reviewing the following three textbooks - Ethics in Engineering Practiceand Research [27], Engineering Ethics: Concepts and Case [9], and Engineering Ethics [8]– andthen continued by adding each additional textbook. Thus, more topics were iteratively addedafter each textbook examination. The final list of forty-one ethical topics identified, shown inTable 1, reflects a comprehensive list of engineering ethics topics. When a keyword wasmentioned or clearly alluded to, the topic was marked on the table with an “X” to indicate it wasincluded in that textbook. It is noteworthy that there were differences in the format of thetextbooks’ table of contents, specifically with the headings. The table of contents
) Prof[25] team mental models in design Reflective Practice UG, Grad, teams Qualitative Analysis (RPA) Prof Input of an expert model of Concept maps (Graph text, to output of concept map[28] Grad Mixed Methods Centrality) summarizing the key ideas and relationships in the text2 CONCEPT MAPS Concept maps use a graph-based structure