. Specific skills developed include computerprogramming in Python, basics of electrical circuits, integrating computer hardware andsoftware, computer networking, and cyber security. Campers were introduced to computingcareers and majors through presentations and guest speakers during the Lunch and Learn time.At the end of the week, teams of campers applied these skills to an Internet of Things-themedCapstone project, which they presented to their peers and parents.Pre- and post-surveys, daily reflections, and structured interviews were collected to establishcontinuous improvements for the program and to further our understanding of how to betterprepare high school students to choose disciplines of study. Triangulation of the multiple sourcessupports
as close as possible to those reported by the in-person group. 4. The students in the remote group perform at least as well as the in-person group in terms of understanding of the concepts related to databases as reflected by grades for the ISBL assignments.Statistical Comparisons and ResultsTable 2 provides the mean, median, and standard deviation of the outcomes measured in thisexperiment. The outcomes include average ISBL assignment grades, score for each motivationconstruct and the overall motivation, scores for experiential learning constructs environment andutility, self-assessment scores for each of the four database concepts and the averageself-assessment score over all concepts, and the SUS score. To compare the two
diverse levels ofcompetence learn from one another and their instructors. In a WisCom, learners collaborativelyfollow an inquiry cycle of learning challenges, exploration of possibilities and resources,continuous reflection, negotiation among fellow participants, and preservation of their new-found knowledge.We are applying this framework to generate a learning community among ECE students andinstructors [10]. Research shows that individuals in a shared academic community often interactthrough social media beyond their courses and become colleagues as they build their careers. Toremediate the lack of belonging that our Latinx ECE students feel, sociocultural learning theorieshave been proposed which frame the design, development, implementation
that students’ scores on the first project were significantlyhigher in the HyFlex modality. HyFlex's median ranks were significantly higher in all other grade measures(Project 2, 3, and final semester grades), whereas means were similar for the rest. Between in-person andone-or-more-times-remote students, t-tests and the Mann-Whitney U test indicated similar grades for Project 1.The median ranks were higher for in-person students, whereas the means in both modalities were similar in allother measures.Study 6: Deep Learning (unpublished work, currently in progress)While grades are a traditional measure of academic success and commonly used to determine universityprogression, they may be reflective of effort and or performance (Banta et al
, data arecentered on tracking students' advancement and pinpointing areas where instructional methods,curriculum design, and classroom management can be enhanced. Instructors and educationalprofessionals employ this information to fine-tune their teaching strategies and aid students facingchallenges.On the other hand, capstone projects reflect a conclusion of students' academic experience andemphasize the practical knowledge and skills they acquired for their future professionaldevelopment. In addition, capstone projects require engaging students in the constraints of the realworld to understand what it takes to achieve social value for the proposed solution and, at the sametime, attain the promised performance and innovation aspects. The data
), provided by CourseNetworking, LLC is a key component of the projectby which students can communicate and collaborate via the online academic networking platform.CN facilitates intercampus activities to lead to cultivation of the scholars’ STEM identity. TheePortfolio feature of CN allows scholars to showcase their accomplishments, academic work andmicro-certification badges that verify their project participation, knowledge, behaviors, and skillsets. Student self-reflection and student-student and student-faculty interactions are improved byCN posting and reflection tools.‘Seeds’ and ‘badges,’ are features of the CN that are used as incentives for scholars to engage inproject activities. They help incentivize, monitor, reward, and celebrate
, and Recognition (R3).The Center’s mission is to recruit diverse and talented students, provide evidence-basedprogramming for retention, and celebrate students’ success by recognizing their hard work andaccomplishments. This mission is tied to the state’s mandate to increase enrollment in highereducation [7] and to boost STEM education to meet the growing STEM workforce needs [8].Tennessee Tech University’s strategic plan to increase freshmen-to-sophomore retention rates to82% and to reach a 50% 4-year graduation rate by 2025 [9] is also reflected in the Center’smission.The CoE SSC activities and outcomes have been through substantial growth in the past threeyears, the staff have been intensifying recruitment efforts, developing and
often regret that I chose chemical engineering. 3. Overall, chemical engineers are considered good by others. 4. Overall, being a chemical engineer has very little to do with how I feel about myself. 5. I feel I don't have much to offer chemical engineering. 13Does endorsement of masculine ideals predict sense of belonging and identity over performance and peer interactions? 6. In general, I'm glad to be a chemical engineer. 7. Most people consider chemical engineers, on the average, to be more ineffective than other groups. 8. Being a chemical engineer is an important reflection of
into an Excel sheet. The responses to the last question were copied and pasted intoChatGPT with the prompt: I asked students what they found most confusing or interesting about an assigned reading. Their responses are below. Summarize them according to what was interesting and what was confusing.Thankfully, the responses did not need to be formatted or edited for ChatGPT to distill rows oftext into a short, concise list. The first few times this method was employed, the efficacy ofChatGPT’s summary was verified with the author’s own review of the student responses. It wasfound to be both an exhaustive and accurate reflection of what the students said. An example ofone of ChatGPT’s summaries can be found in the
noteffective yet. For example, the Department of Energy (DOE), in its Public Access Plan [17]released in June 2023 prompts researchers to write a Data Management and Sharing Plan wherethey will describe, among other things, how data sharing will be maximized, and data repositoryselection. The DOE does not endorse any particular repository and recommends usingrepositories that are appropriate for the data type and discipline, that reflect relevant standardsand community best practices for data and metadata, and that align with the DesirableCharacteristics document. The National Science Foundation (NSF) published in February 2023an updated version of their NSF Public Access plan [18], which is being reviewed after a requestfor information period. In the
reflects the student experiences from one medium sized university in West Texas, thesefindings may not be representative of student experiences of a larger sample from other areas ofthe country. Further, as many of the participants were early in their academic careers, theirexperiences may not reflect those who are farther along in their STEM studies. Due to the cross-sectional nature of this study, retention rates of participants within STEM majors were notmeasured. One of the individuals who participated in the focus groups started college as a STEMmajor but changed their major to history. This student provided feedback about theirexperiences after changing majors saying: "I've definitely felt more supported in the historydepartment. Maybe it's
clear and logical algorithms is crucial, demanding proficiency incomputer programming languages commonly used in engineering, such as Python, Java,MATLAB, or others relevant to the discipline. Additionally, CT serves as a foundational skill fordata analysis and modeling across various engineering disciplines. Its widespread adoption inSTEM education institutions, as evidenced by the incorporation of Next Generation ScienceStandards (NGSS), reflects a positive trajectory in developing CT abilities and meeting thedemands for skilled technical workers [12]. The implementation of CT in engineering education necessitates a shift towards student-centered learning strategies to mirror the complexities of real-world problem-solving
spontaneous questions toexplore, deepen understanding, and clarify answers to earlier questions [15]. Interviews wereconducted by the third author during the latter half of the fall semester and were audio recordedbefore being transcribed by Otter.ai (Otter.ai Inc, 2023) and edited for clarity by the second author.Interview questions were derived from theory and prompted participants to reflect on theirexperiences with mastery-based learning, features of the program, individual and communityefficacy as educators, as well as their perceptions of the student’s failure mindset, attitudestoward assessment, performance/ competence, metacognition (thinking about learning process),agency (ownership of learning), and engineering identity (Table 1). The semi
illustrated. Learners are alsoactively participating in the activity. Finally, the instructor asks the same sets of questions toassess how well students comprehend the experiment. ECP Module Instructional Design Template Module Information Synoptic/Purpose of Instructional Instructor Module Process Reflection a. Developers/Instructors a. Essential Questions a. Materials needed/Expected Reflection Institution for use. b. Module Objectives b. Mobile Title/Topic b. Procedures c. Placement within
disciplinary and everyday language in students’ responses. This can help us make thetool a more inclusive generative AI tool that understands the various language students may useto explain their thinking. In turn, instructors and researchers will be more aware of the diverselanguage and thought patterns students use to wrestle with challenging concepts in the discipline.AcknowledgmentsWe acknowledge the support from the National Science Foundation (NSF) through grant EEC2226553. Any opinions, findings, conclusions, or recommendations expressed are those of theauthors and do not necessarily reflect the views of the NSF.References[1] H. Auby, N. Shivagunde, A. Rumshisky, and M. Koretsky, “WIP: Using machine learning to automate coding of student
persistence among low socioeconomic status students," Journal of Experiemntal Social Psychology, vol. 72, pp. 45-52, 2017.[22] R. M. Stwalley III, "Assessing improvement and professional career skill in senior capstone design through course data," International Journal of Engineering Pedagogy 7, no. 3, pp. 130-146, 2017.[23] R. M. Stwalley III, "Professional career skills in senior capstone design," in ASEE Capstone Conference - Columbus, Washington, DC, 2016.[24] J. McCarthy, "Reflective writing, higher education, and professional practice," Journal for Education in the Built Environment, vol. 6, no. 1, pp. 29-43, 2011.[25] G. Bolton, "Narrative writing: reflective enquiry into professional practice," Educational Action
Exercise DescriptionThe robotic platforms were used in an operating systems and systems programming course at PennState Behrend as a part of a lab exercise to demonstrate concepts related to task design, timing,synchronization, and mutual exclusion mechanisms. The exercise was divided into sections:Introduction to the robotic platform operation, task design using timing and synchronizationmechanisms, and feedback and reflection on the lesson learned.The tudentts were first introduced to the basic operation of the robotic arm using manual controland Application Programming Interfaces (API) control through a Python control program. Thechallenges of moving the arm in space using different coordinates and keeping track of the arm’sposition were
on this positive interest from students, a committee of faculty who taught in math andsciences was convened to develop the program. Because of the institution’s historical strengths inthe sciences, the committee recommended that the institution offer a B. S. in EngineeringScience, which was subject to the same ABET criteria as B.S. programs in Engineering andEngineering Physics.[7] It was also believed that the program named Engineering Sciencewould be better accepted at a liberal arts institution where a degree such as engineering might beviewed by some as a strictly vocational major. The intent of the degree to equip students with abroad and general engineering background also reflected key principles of the liberal artsapproach.The
with the specific focus of each survey section, we aimed toensure the relevance and coherence of our assessment tools. This alignment provides a clearerframework for understanding the survey results and reflects the complexity and interconnectednessof sustainability in engineering education.Research Questions: 1. Impact of Active Learning Approaches: How are active learning strategies and hands- on curricular implementations in engineering classrooms related to changes observed in undergraduate engineering students' responses in a six-section pre-post sustainability survey and their open-ended feedback? 2. Comparative Analysis Across Disciplines: How do the pre-post sustainability survey results differ among students
frustrated when it happened.Discussion This study investigated how students perceive generative AI (GAI) for designing mood boards ina computer-aided design (CAD) course regarding design creativity. Specifically, we introduced a workshopand a homework assignment that incorporated the GAI tool Midjourney into the students' final CADprojects, aiming to teach 20 students how to use GAI in conceptual design. Through surveys and interviews,we examined students' creativity in the mood board design process and the final products, comparing themto those created without GAI. Our findings revealed that most students (17 out of 20) believed GAI boostedtheir creativity, although expert evaluations of their works did not reflect this. Additionally, we
in Spring 2023Overall, compared to previous years [18],[19] the gender and racial diversity of the eligibleapplicants and ACCESS scholars decreased despite the wide range of outreach efforts, some ofwhich specifically targeted underrepresented groups of students. The decline in diversity,especially compared to Cohort 1, may partially be due to the fact that many current WestVirginia University students from underrepresented groups, who were eligible for the ACCESSscholarship, applied and were selected in the earlier years of the ACCESS project. In addition,decreased diversity may be reflecting the broader trends in college enrollment, broader genderand racial disparities in Computer Science and
al.’s researcher identity scales, which aim to measure the sameconstructs as in the current research, originally contained 26 total items, but were reduced 16total items following the factor analyses of these scales and those of the related identities(scientist and engineering). One unique advantage of Perkin et al.’s approach is that many of theitems provided a more detailed reflection on the specific context of doctoral education. Forexample, the dissertation advisor is proposed as a critical external source of recognition and thusthe following item was added: “My advisor(s) see me as a RESEARCHER.”2 Similarly, thecompetence scale in Perkins et al. work focuses more on specific competencies associated withresearch, such as delivering
68% 84% 0.0327Class SurveysA weekly reflection and survey were conducted with Likert scale multiple-choice questions. Forthis study, only the results from the beginning of the class (pre) and end of the class (post) wereanalyzed. The complete wording of the Likert questions and answer choices are shown inAppendix I. The survey results analyzed by gender are shown in Table 4. The table shows thesum of the top 2 Likert responses, such as Effective and Very effective to indicate the percentageof students with a positive assessment in each topics area. To show the effect of training moreclearly both the pre- and post- questions are shown when the same question were present in bothsurveys. In Table 4 the pre- and post- questions
professionals who will enter management and leadership roles. Nonetheless, research andanecdotal experience have indicated that both students and practicing professionals shy away fromstrategic networking, a stance that can hinder their careers. This paper reports on work-in-progress ofdesign and evaluation of course interventions to promote strategic networking among undergraduateengineering students. These experiences are part of a course in Engineering Leadership at Texas A&MUniversity. This paper offers first a literature review and then detail on our course content, networkingactivities, and a reflection connected with effective strategic networking for this class. Mixed-methodsanalysis of the results of student surveys provide insights of
statistically significant differences for Scenario 3.LimitationsThere are several limitations inherent to this work. Given the diffuse subject recruitment strategy,it is possible that ethically minded individuals are overrepresented in the sample (i.e., thatethically minded individuals would be more likely to respond to a voluntary survey onengineering ethics). Further, this survey examined individuals at one Research 1 institution in theUnited States and the results may to a degree reflect that (e.g., individual’s views on code sharingmay be influenced by institutional academic integrity culture and rules). Subjects were askedabout their perceptions of the views of industry, but contemporaneous surveying of individualsfrom industry was not an
introductorymechanical engineering design course that involved both lecture (2 credits) and laboratory (1credit) sessions. Learning objectives for the mini-mill experience were to: (1) learn the safetyand controls of a manual milling machine and basic milling operations that included fixed,material scaffolds designed by the course instructor; (3) practice reading and manufacturing fromstandard engineering drawings; and (2) independently apply knowledge of milling machinecontrols and operations to create a basic part with adaptive, pedagogical scaffolding fromteaching assistants and machinists. All deliverables for this exercise were individually completedby students and required a mixture of hands-on activity, written reflection, and online trainingand survey
simultaneously. Most of these foreign nationals areeventually naturalized and become citizens. While the immigration status of these faculty istransitional, their specific cultural and racial identity carries forward. Unfortunately, theclassification of these individuals in URM/Non-URM status is complicated [25], as 1) the URMdefinition used by NSF is based on underrepresentation in STEM fields relative to the overall U.S.population, but FB faculty are drawn from the world population where the ethnic groups adverselyaffected by systemic inequities may or may not align with the U.S. definitions; 2) FB faculty ofBlack and Hispanic backgrounds are included in URM, which raises the number of URM facultybut does not reflect an improvement in the including of
manufacturing under guidance of Dr. Fidan. He also works as student manager of iMakerSpace Innovation lab at Tennessee Technological University. ©American Society for Engineering Education, 2024 Unique Instructional Delivery of Additive Manufacturing: A Holistic ReviewAbstractAdditive Manufacturing (AM), often referred to as 3D Printing (3DP), has emerged as atransformative technology compared to traditional manufacturing across industries such asaerospace, healthcare, and automotive. With this evolution, the demand for specialized educationand training in AM is growing. This brief concept paper provides a condensed review ofdistinctive instructional delivery methods in the field of AM, reflecting the dynamic nature
existed in convenience and ethical consideration [18]. Karunaratne and Adesina [19]used a survey to examine the use of ChatGPT in the information retrieval process amongstudents at higher education institutes. Through their survey they found “ChatGPT has reducedthe anxiety of information search, and increased the confidence with which students seekinformation” [19]. Lo [20] proposes the “CLEAR framework” (Concise, Logical, Explicit,Adaptive, and Reflective) as a mechanism “to optimize interactions with generative AI languagemodels. The focus of Lo’s work is on improving prompt engineering skills of people usinggenerative AI tools [20]. Jin et.al. [21] discussed potential use cases for generative AI in medicalliterature indicating potential
tasksinto instructional activities, making the assessment process less intrusive and more reflective ofstudents' actual learning processes [23]. Assessment tasks are designed to be directly relevant tothe learning objectives and often require students to apply their knowledge and skills in authenticcontexts. This approach enables educators to assess not only the final product of learning but alsothe learning process itself, including students’ problem-solving strategies, critical thinking, andability to apply knowledge in real-world situations [24].Embedded assessment comes with many challenges. Teachers must be skilled in designingassessment tasks and in interpreting the evidence of learning these tasks provide [25]. Due toembedded assessment’s