] J.S. McIlwee & J.G. Robinson, “Women in engineering: Gender, power, and workplace culture,” SUNY Press, 1992.[5] K.L. Tonso,“On the outskirts of engineering: Learning identity, gender, and power via engineering practice,” Brill, vol.6, 2007.[6] B. Johnson & J.B. Main, “The Influence of Experiential Learning on Student Professional Development: A Literature Review,” 2020 ASEE Virtual Annual Conference Content Access, June 2020.[7] D. Verdin & A. Godwin, “EXPLORING LATINA FIRST-GENERATION COLLEGE STUDENTS’ MULTIPLE IDENTITIES, SELF-EFFICACY, AND INSTITUTIONAL INTEGRATION TO INFORM ACHIEVEMENT IN ENGINEERING,” Journal of Women and Minorities in Science and Engineering, vol. 24, ed. 3
: Undergraduate research increases self-efficacy and career ambitions for underrepresented students in STEM,” Journal of Research in Science Teaching, Vol. 54, No. 2, pp. 169-194.28. Willis, D., Krueger, P., Kendrick, A., 2013, The influence of a research experiences for undergraduate program on student perceptions and desire to attend graduate school,” Journal of STEM Education. Vol. 14, No. 2, pp. 22-28.
higher Education, vol. 27, no. 3, pp. 275–286, 2002.[17] E. B. Nuhfer, “The place of formative evaluations in assessment and ways to reap their benefits,” Journal of Geoscience Education, vol. 44, no. 4, pp. 385–394, 1996.[18] F. Fitriani, “Implementing authentic assessment of curriculum 2013: Teacher’s problems and solusions,” Getsempena English Education Journal, vol. 4, no. 2, 2017.[19] R. Yilmaz and F. G. K. Yilmaz, “The effect of generative artificial intelligence (ai)-based tool use on students’ computational thinking skills, programming self-efficacy and motivation,” Computers and Education: Artificial Intelligence, vol. 4, p. 100147, 2023.[20] V. Roger-Monz´o, “Impact of generative artificial intelligence in higher
trackerdemonstrated a 16.5% improvement in energy generation compared to the fixed solar panel.Reflection highlights substantial learning outcomes, including interdisciplinary learning,automation, coding, problem-solving skills, self-efficacy, and collaborative experiences. Thisproject allows high school and undergraduate students to replicate their experiences in anaffordable, efficient, and educational manner.KeywordsSolar energy, solar tracker, solar power, education, Arduino, Coding, automation, high school,undergraduate1. IntroductionAccording to the International Energy Agency, global energy-related CO2 emissions reached anew high of 36.8 billion tons in 2022, and the value will continue to grow as global electricitydemand keeps increasing [1], [2
potential impact of SBLprojects.Another significant challenge lies in assessing the learning outcomes associated with SBL.Unlike traditional courses that often rely on standardized tests and exams, SBL requires morecomplex evaluation tools that measure not only academic performance but also thedevelopment of social and ethical skills. Portsmore and Swenson [11] suggest that theseevaluations should include mixed methods, such as surveys, interviews, and focus groups, tocomprehensively capture the impact of SBL on students’ professional and personaldevelopment. González-Cespón et al. [14] argue that such approaches can provide deeperinsights into how SBL fosters practical skills and social sensitivity among futureprofessionals.Current trends in SBL
significantly influence students’ careerinterest and perceived self-efficacy, which disproportionately discourages underrepresentedgroups such as females and minorities [5]. By focusing on providing equitable and engagingSTEM experiences, educators can foster broader confidence and interest in these fields. Earlyexposure to engaging and accessible STEM education not only prepares children for highereducation but also helps dismantle barriers that prevent many students from pursuing hardsciences [6].The deficiency in K-12 data science education, combined with the importance of early exposureto data science, inspired the development of this literature review. Young people should beequipped with the skills necessary to become educated and productive
-ential learning has the most potential to benefit from VR, as engaging experiences can be simulatedthrough virtual interactions [24]. Situated learning theory posits that knowledge is extracted fromthe social, cultural, and physical context in which it resides [25]. Because VR offers a sense ofpresence and immersion, virtual environments can be constructed to provide rich situational con-text for learning. Finally, guided discovery learning theory claims that learners who explore anddraw conclusions on their own– with limited help– develop a sense of self-efficacy that reinforceslearning [26]. Less structured, open-world VR simulations can foster a discovery-based environ-ment that can be difficult to recreate in the real world.Though less
that examined the impact ofwagering and iterative feedback on engagement and performance, and (2) a classroom studyinvolving 24 students in a sophomore-level Industrial Engineering course that explored real-world application and metacognitive effects. Results from the controlled experiment showedwagering and feedback led to significant improvements in student engagement measured interms of interest, enjoyment, and concentration. However, immediate performance gains werenot observed. The classroom study revealed high levels of voluntary engagement, with studentssolving ten times as many problems as in traditional assignments and demonstrating wageringpatterns indicative of metacognition. These findings offer insights into how gamified
motivation, self-efficacy, career interest and confidence. Behavioral questionsexamined intention, engagement, and collaboration. Cognitive domain questions focused onthinking skills ranging from lower to higher order levels of Blooms taxonomy. And the ethicaldomain included questions related to AI ethics and AI for social good.Wang et al. developed and validated the AI Literacy Scale (AILS) that includes four constructs:awareness, usage, evaluation, and ethics [36]. AILS uses a Likert scale to determine confidencein these four areas. Hobeika et al. adapted the resulting 12-item scale and translated it into Arabic[37]. They tested the scale on university students and found the scale to be valid and reliable.Carolus et al. created the Meta AI
, considering the findings from Kim, et al. [5] In fact, a study by Bandura et al. [6]demonstrated the impact of perceived self-efficacy in young children and their future careeraspirations. This early development is impacted by a variety of factors, such as academicperformance, peer and teacher recognition, and acceptance of self within a field [5]. Research shows that engagement and interest in STEM subjects decreases in certainidentity groups beginning in middle school, despite a closing of the STEM achievement gap interms of gender. [7], [8]. In fact, societal and classroom norms often influence the developmentof a student’s STEM identities differently, depending on their racial and/or gender identity [5]. Multiple studies have found
-transfer effort to create a transfer-receptive culture, the MAEdepartment engaged in a university-wide initiative to improve undergraduate experiences inSTEM which includes taking stock of current performance metrics (grades, matriculation rates)and student perceptions such as belonging and self-efficacy, and then engaging in projects toimprove outcomes across all populations. For transfer students, we identified a concern over thegrade differential between transfer students and first-time, first year students. In addition, fromstudent survey data, we found that transfer students spend less time with extracurricular activitiesbut have a more positive experience from academic advising. In MAE, all faculty serve asacademic advisors for
challenges collectively, promoting self-efficacy and empowering students to contribute to their own success. These approaches have collectively appeared effective in supporting underprepared students. By meeting students at their current level and offering structured pathways for growth, these strategies empower learners to build confidence and competence. Our experience shows that with the right support and guidance, every student has the potential to thrive in engineering education, regardless of their starting point. Fig. 1 illustrates a flowchart summarizing the strategies employed to support underprepared students. This visual representation highlights the interconnectedness of these methods and their role in
energy transition,” Energy, vol. 236, p. 121564, Dec. 2021, doi: 10.1016/j.energy.2021.121564.[5] P. A. Kempler, S. W. Boettcher, and S. Ardo, “Reinvigorating electrochemistry education,” iScience, vol. 24, no. 5, May 2021, doi: 10.1016/j.isci.2021.102481.[6] I. Hawkins and A. J. Phelps, “Virtual laboratory vs. traditional laboratory: which is more effective for teaching electrochemistry?,” Chem. Educ. Res. Pract., vol. 14, no. 4, pp. 516– 523, 2013, doi: 10.1039/C3RP00070B.[7] V. K. Kolil, S. Muthupalani, and K. Achuthan, “Virtual experimental platforms in chemistry laboratory education and its impact on experimental self-efficacy,” Int. J. Educ. Technol. High. Educ., vol. 17, no. 1, p. 30, Jul. 2020, doi: 10.1186/s41239-020
instruction and real-world application. Studies show that participation incompetitions fosters critical thinking, problem-solving, leadership, and teamwork skills [1, 2].Additionally, competitions provide opportunities for networking, exposing students to industryprofessionals and enabling them to build relationships that are instrumental in their careertrajectories [3, 4].Competitions also improve students' self-efficacy and confidence in their abilities. A study byHaidet, et al. (2014) concluded that students who participated in team-based competitionsexhibited greater confidence and competence in handling complex problems [5]. Furthermore,competitions provide a platform for students to demonstrate their talents and gain recognition,which can lead
," Journal of Civil Engineering Education, vol. 148, no. 4, p. 04022007, 2022.[19] E. Kiliç-Çakmak, "Learning strategies and motivational factors predicting information literacy self-efficacy of e-learners," Australasian Journal of Educational Technology, vol. 26, no. 2, 2010.[20] C. S. Doyle, "Outcome Measures for Information Literacy within the National Education Goals of 1990. Final Report to National Forum on Information Literacy. Summary of Findings," 1992.[21] The Association of College and Research Libraries, "Information Literacy CompetencyStandards for Higher Education," p. 20, 2000. [Online]. Available: https://alair.ala.org/server/api/core/bitstreams/ce62c38e-971a-4a98-a424-7c0d1fe94d34/content.[22
, emphasizing flexible instruction methods and multiple studentengagement means [12]. UDL practices relate to beneficial student outcomes such as increasedsocial and academic inclusiveness, autonomy, and self-efficacy [20]. These outcomes are crucialfor neurodivergent students, who face additional barriers to developing these skills. As UDLpractices reinforce neurodivergent strengths and remove barriers, students receive more avenuesto improve essential skills. Programs integrating technical instruction with structured social skillstraining demonstrate the potential for more inclusive AI education models [13]. Successfulimplementation requires careful attention to the diverse sensory and cognitive needs ofneurodivergent learners, including
. Pangborn, “Women engineering students and self-efficacy: A multi-year, multi-institution study of women engineering student retention andsuccess,” Journal of Engineering Education, vol. 101, no. 1, pp. 27–47, 2012. doi:10.1002/j.2168-9830.2012.tb00039.x[8] M. Hutchison-Green, D. Follman, and G. Bodner, “Providing a voice: Qualitativeinvestigation of the impact of a first-year engineering experience on students’ efficacy beliefs,”Journal of Engineering Education, vol. 97, no. 2, pp. 177–190, 2008. doi: 10.1002/j.2168-9830.2008.tb00966.x[9] T. L. Strayhorn, College Students’ Sense of Belonging: A Key to Educational Success for AllStudents, New York: Routledge, 2012.[10] V. Tinto, Completing College: Rethinking Institutional Action, University of
these/set them up. He was super helpful and simplified the explanation into something I was able to learn, and then I set up my equations correctly after that! I also really enjoyed discussing things within our group first and then discussing it as a class. I SELF-EFFICACY B think talking in a small group first allowed us to gain confidence in our thoughts and made it much easier to share to the entire class. Moreover, I found that applying concepts like Michaelis Menten equations on a real system helped me understand how to use the equations and what they mean. By manually writing
chemical engineering.The paper delves into key aspects such as how students engage in decision-making concerningsocial and environmental challenges in specific geographical contexts, how they integrate DEIinto company practices and teamwork dynamics, and how they assess the necessity andimplications of sustainable technologies. The analysis also evaluates the redesign’s impact onstudent self-efficacy, learning outcomes, and the quality of their projects.2. BackgroundThere has been an increased focus to address sustainability and social impacts in engineeringeducation. So much as that ABET has updated its 2022-2023 Student Outcome 2 to reflect thisby emphasizing “an ability to apply engineering design to produce solutions that meet specifiedneeds
grades, workload, expectations and goals on students’ evaluations of teaching,” Br. Educ. Res. J., vol. 34, no. 1, pp. 91–115, Feb. 2008, doi: 10.1080/01411920701492043.[11] C. Viegas, N. Lima, and A. R. Costa, “Engineering Students’ Perception on Self-Efficacy in Pre and Post Pandemic Phase,” Sustainability, vol. 15, no. 12, Art. no. 12, Jan. 2023, doi: 10.3390/su15129538.
AY 2021-22,50 teachers participated in the program and 33 responded to the curriculum evaluation surveys. In2022-23, 48 teachers participated in the program and 40 responded to the surveys. In 2023-24, atotal of 57 teachers participated and 30 responded to the surveys.Procedures - Data Collection and Evaluation AnalysisAt the end of each school year, all teachers were requested to complete surveys about theirengineering teaching self-efficacy, as well as their impressions, opinions, and experiences with thecurriculum. The survey instrument was developed by the program’s research and evaluation teammembers with expertise in engineering education research and pre-college engineering curriculumdesign. The measures asked teachers to rate the
, E. A. Yeager, and S. J. Foster, Historical Empathy and Perspective Taking in the Social Studies. Lanham, MD: Rowman & Littlefield, 2001.[20] R. E. Snow, “Abilities in academic tasks,” in Mind in Context: Interactionist Perspectives on Human Intelligence, R. J. Sternberg and R. K. Wagner, Eds. New York, NY: Cambridge Univ. Press, 1994, pp. 3–37.[21] K. O. Corcoran and B. Mallinckrodt, “Adult attachment, self-efficacy, perspective taking, and conflict resolution,” Journal of Counseling & Development, vol. 78, no. 4, pp. 473–483, 2000.
: Undergraduate Research Increases Self-Efficacy and Career Ambitions for Underrepresented Students in STEM,” J. Res. Sci. Teach. https://doi.org/10.1002/tea.21341.[3] Watkins-Lewis, K. M., Dillon, H. E., Sliger, R., Becker, B., Cline, E. C., Greengrove, C., James, P. A., Kitali, A., and Scarcella, A., 2023, “Work In Progress: Multiple Mentor Model for Cross-Institutional Collaboration and Undergraduate Research,” American Society for Engineering Education, Baltimore MD.[4] Dillon, H., Cline, E. C., Hadnagy, E., Rodriguez, S. L., Sesko, A. K., Sliger, R. N., and Wilson, N., 2024, “Work in Progress: Transformation Course-Based Undergraduate Research Experience (T-CURE).” [Online]. Available: https://peer.asee.org/work-in
demandstrategies such as setting up milestones and actively coaching the students [21]. More facedchallenges are institutional constraints such as limited budgets and new ideas requiring extensiveplanning. Lastly, most PSI research focuses on psychology and behavior analysis of students,raising concerns about the generalizability of findings to other disciplines and diverse studentpopulations [21]. Accordingly, careful planning was done in Math Launch to benefit from PSIand address identified challenges. The customized PSI tenets in Math Launch pedagogy are:1. Preparation of written materials: ALEKS was set up so it provided an explanation page before a student attempted an exercise which enhanced student understanding and helped with improving self
students and were positively received. Even for the few that found speakingabout themselves in future and with some level of flattery uncomfortable, the activity showedthem the value of imaging their future in helping them plan for such a future.The lecture about the IDP process was then presented to students and they were given the IDPtemplate forms (from Rutgers University) as an example, but they were not required to startfilling out the IDP form yet.Making S.M.A.R.T. Plans:The second major modification to the course was to train students in making good plans. Alecture on how to structure plans using the S.M.A.R.T (specific, measurable, achievable,Relevant and Timebound) plan framework was presented. Students were asked to write twoplans, one
goals ofthe profession the perception is that engineering is agentic [17]. This difference between perceived goalsof the profession and communal goals can lead to women lacking the personal identities that motivatemen to become engineers [19]. It has also been found that women often lack the cultural influences thatshape intrinsic motivators towards a career in STEM, contributing further to the lack of science or mathidentities [10]. The SCCT explains career interests, choices, and performance through the effect ofpersonal traits, such as self-efficacy and outcome expectations, on interests and the effects of thoseinterests on goals and actions [20]. The theory validates the influences of social interactions on careerchoice, and other research
, characterizing information creation as a process andresearch as inquiry [8], (b) metaliteracy, conceptualizing students as active participants, effectivecommunicators and translators of information [9], and (c) makers literacy, an emerging literacyenabling students to build self-efficacy, explore their entrepreneurial spirit, and learn skills thatwill last them long past their academic career [10].2. Literature ReviewInformation literacy in higher education: The ACRL Information Literacy CompetencyStandards for Higher Education [11] state that information literacy is an intellectual frameworkfor understanding, finding, evaluating, and using information, in relation to tasks and activitiessupported by information technology; it initiates, sustains, and
enhances studentperformance.By analyzing metrics such as completion rates and common student errors, we identified keyareas where learners struggled and addressed them by scaffolding the activities into smallercomponents. This approach, shown to enhance knowledge retention and self-efficacy [9], [10],proved especially effective for challenging topics with high struggle rates as well as forintroductory topics where students needed extra guidance. The observed reduction in averagefailure rates from 12.90% to 4.35% (an 8.55 percentage point decrease) demonstrates the valueof our method in promoting mastery and reducing student frustration, aligning with studies thatadvocate iterative assessment designs for better learning outcomes [11].Case Study #1
and SBL tools enhance cognitiveunderstanding, they may need to be supplemented with additional instructional strategies toinfluence affective factors such as interest, self-efficacy, and career aspirations. Previous researchsuggests that attitudes toward highly specialized technical fields often require extended exposureand real-world applications to shift meaningfully [17, 18]. Future implementations could explorestrategies such as incorporating mentorship programs, project-based learning, or industrycollaborations to strengthen students’ sense of engagement and belonging in QC. Furthermore,engagement and usability ratings (M = 3.90, SD = 0.87) indicate that students generally foundthe tool intuitive and engaging. However, technical
engineering course using social network analysis,” 2020, American Society for Engineering Education, Virtual Conference.[23] *S. Han, E. Grace Oh, and S. “Pil” Kang, “Social capital leveraging knowledge-sharing ties and learning performance in higher education: Evidence from social network analysis in an engineering classroom,” AERA Open, vol. 8, p. 23328584221086664, Jan. 2022, doi: 10.1177/23328584221086665.[24] M. Allen, S. Dika, B. Tempest, and M. Pando, “Interactions with faculty and engineering self- efficacy among underrepresented engineering persisters,” in The Collaborative Network for Engineering and Computing Diversity Conference, Crystal City, VA, 2018.[25] *Z. Boda, T. Elmer, A. Vörös, and C