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Experience by Students and Employers," North American Colleges and Teachers of Agriculture Journal, vol. 59, no. 3, pp. 234-239, 2015.[13] J. Ibrahim, A. MacPhail, L. Chadwick and S. Jeffcott, "Interns’ Perceptions of Performance Feedback," Medical Education, vol. 48, no. 4, pp. 417-429, 2014.[14] M. Segers and F. Douchy, "Enhancing student learning through assessment: Alignment between levels of assessment and different effects on learning," Studies In Educational Evaluation, vol. 32, no. 3, pp. 171-179, 2006.[15] K. Zegwaard, R. K. Coll and D. Hodges, "Assessment of Workplace Learning: A Framework," Asia-Pacific Journal of Cooperative Education, vol. 4, no. 1, pp. 10-18, 2003.[16] J. McNamara, "The Challenge of
explicitlyconnected to engineering in 2000 by the Grand Challenges in Engineering [1]. The GrandChallenges was quite unique at the time because of its student focus; it activated a grassrootseffort among universities to identify a challenge and find students to meet a challenge, many ofwhich are sustainability-focused. In 2007, the United Nations Sustainable Development Goals(SDGs) were born, which centered and directly connected sustainability to education [2], [3].The SDGs provide an excellent framework for understanding which areas of sustainabilityrequire attention and what action might be taken, expanding beyond climate to areas of justice,equity, food insecurity, and wildlife conservation [4], [5].These important initiatives have helped draw attention
. Page 26.230.1 c American Society for Engineering Education, 2015 Are Automated Assessment Tools Helpful in Programming Courses?AbstractAutomated assessment tools (AATs) are growing in popularity in introductory programmingcourses, but researchers may have a difficult time synthesizing valid data to draw conclusionsabout the tools’ usefulness. Our first step addressing this issue was to break down our overridingquestion—are automated assessment tools helpful in programming courses?—into four morespecific questions: (1) Have AATs proven to be helpful in improving student learning? (2) Dostudents think that AATs have improved their performance? (3) After having used the tools
Community Development and Social Justice”, In: Christensen S., Didier C., Jamison A., Meganck M., Mitcham C., Newberry B. (eds) International Perspectives on Engineering Education. Philosophy of Engineering and Technology, vol 20. Springer, Cham, 2015 12. Pucha, RV., Thurman, CJ; Yow,R; Meeds, CR; and Hirsch, J (2018). Engagement in Practice: Socio-technical Project-based Learning Model in a Freshman Engineering Design Course. ASEE Annual Conference & Exposition.
the cybersecurity workforce, so that the composition ofthat workforce approximates the gender, racial, and ethnicity distribution of the nation’spopulation.” As discussed in later sections, we view our experiential learning portfolio as animportant contributor to this goal. 3. Experiential Learning Portfolio StrategyThe demand for cybersecurity talent exceeds the number of available graduates with computingand engineering related degrees. Moreover, the nature of cybersecurity demands a diversity ofskills beyond technical, such as knowledge of human behavior which may be informed bydiverse perspectives and experiences. The goal of our experiential learning portfolio is to create a“K to gray” pipeline of diverse cybersecurity talent that
NATO/NSF postdoctoral fellowship which she took to CNRS in Paris. Afterwards she served in a series of international leadership roles with speech technology companies including SpeechWorks International (Director of European Operations), Rhetorical Systems (VP Marketing and Partnerships, and NeoSpeech (CEO). She then joined Accenture as a Senior Executive (Partner), where she founded both the firm’s R&D organization in India and a joint venture with Cisco in the data center space. Since 2010, Lin has been running the Silicon Valley based technology consulting firm Big Tech Strategy and Woo Factor Music, a production music studio. In 2021 Lin joined Minnesota State University, Mankato as director of their new
3Doodler 3Dprinting Pens. Figure 3 shows a snapshot from the 2021 workshop. Figure 3: 3DP Workshop participants in online and in-person settingsFigure 4 presents a snapshot of the workshop agenda. The participants were able to practice whatthey have learned with the equipment shipped before the event. Figure 4: A sample portion of the training program2.3. 3DP MOOCs and WebinarsAs part of a funded NSF Advanced Technological Education (ATE) Project, several MOOCs havebeen developed in the past few years. The recorded sessions are available on YouTube, as well ason the project site am-watch.org. The MOOCs that are currently available are listed below: Introduction to Additive Manufacturing
pandemic. The format of delivery used a mixture ofsynchronous and asynchronous lectures. Theory and technical information were delivered usingthe asynchronous lectures in 5–15-minute videos, and the synchronous course time was usedprimarily to complete example problems and facilitate discussion. The course included 8assessments: six quizzes and two projects. The projects were submitted as a midterm and a final. 3 After each assessment, the students submitted a one-page reflection of their work within 24 hours of completing the assignment. The reflection component of the assessment was graded for completion. The assessments and reflections were a
; Practice, 22(3), 368-389.Neal, M. A. (2011). Engaging students through effective questions. Education Canada, 51(1), n1.Partnership. (2011). Framework for 21st century learning. Retrieved from http://www.p21.org/our-work/p21-frameworkPollitt, A. (2004). Let’s stop marking exams. Retrieved from http://www.cambridgeassessment.org.uk/images/109719-let-s-stop-marking- exams.pdfPollitt, A. (2012a). Comparative judgement for assessment. International Journal of Technology and Design Education, 22(2), 157-170Pollitt, A. (2012b). The method of adaptive comparative judgement. Assessment in Education: Principles, Policy & Practice, 19(3), 281-300.Pollitt, A., & Crisp, V. (2004). Could comparative judgments
a Contemporary Learning Environment,” 2017, doi: 10.15142/T3M05T.[25] C. Metallo, M. Ferrara, A. Lazazzara, and S. Za, Eds., Digital Transformation and Human Behavior: Innovation for People and Organisations, vol. 37. Cham: Springer International Publishing, 2021. doi: 10.1007/978-3-030-47539-0.[26] R Core Team, “R: A language and environment for statistical computing.” R Foundation for Statistical Computing, Vienna, Austria., 2021. [Online]. Available: https://www.R- project.org/[27] P. Mair and R. Wilcox, “Robust Statistical Methods in R Using the WRS2 Package,” Behav. Res. Methods, vol. 52, pp. 464–488, 2020.[28] H. A. Diefes-Dux, “Frontier: Discipline-Based Education Research to Advance
Paper ID #34420Investigating and Comparing Environmental Knowledge and SustainableBehavior Among U.S. and Taiwanese StudentsProf. Jane Lu Hsu, National Chung Hsing University, Taiwan Jane Lu is Professor and Director of Marketing Department at National Chung Hsing University in Tai- wan. She received her Ph.D. in Department of Agricultural Economics at Kansas State University in 1996. Current research interests include business analytics, market research and environmental education. She had served as Dean of International Affairs at NCHU, and was awarded as a Fulbright New Century Scholar 2009-2010.Miss Yu-Kang Lai
for some stated requirement. However, it is unrealistic to expect that a constructionworker would ask for a ladder that “has a deflection of 1 cm under a load of 300 lb.” They aremuch more likely to request a ladder that is “sturdy and easy to move.” HCD has the potential toenable learners to traverse this gap. By seeking to first understand real-world needs and thendevelop engineered solutions to address them, students are given the opportunity to meaningfullyapply the theoretical skills they learn in the classroom to address authentic unmet needs.It follows that many higher education institutions are seeking ways to integrate HCD into theirengineering programs [3], [4], [5]. This integration should be done intentionally and in a waythat
10, with an average number of 3 codes per excerpt.Across all student responses (among both cohorts) the most frequently occurring code wascommunication, followed by technical analysis/claims, and self-actualization.Table 1: Description of codes Code Description communication writing, delivering, formatting an oral and/or written report connection connection of topics from other courses with the laboratory, connection of laboratory course to the CHE discipline, one’s future career, or professional competencies equipment elements having to do with exposure to laboratory equipment (specific or general), including
also served as a Chair of Energy Conservation and Conversion Division at American Society of Engineering Education (ASEE). Dr. Pecen holds a B.S in EE and an M.S. in Controls and Computer Engineering from the Istanbul Technical University, an M.S. in EE from the University of Colorado at Boulder, and a Ph.D. in Electrical Engineering from the University of Wyoming (UW, 1997). He served as a graduate assistant and faculty at UW, and South Dakota State University. He served on UNI Energy and Environment Coun- cil, College Diversity Committee, University Diversity Advisory Board, and Graduate College Diversity Task Force Committees. His research interests, grants, and more than 50 publications are in the areas of
Exhibition, Tampa, FL, USA, June,15-19, 2019.[6] C. Peng, “Introductory game development course: A mix of programming and art”, in Proceedings - 2015 International Conference on Computational Science and Computational Intelligence, CSCI 2015 7424101, pp. 271-276.[7] D. Kletenik, D. Sturm, “Game development with a serious focus”, in SIGCSE 2018 - Proceedings of the 49th ACM Technical Symposium on Computer Science Education.[8] P. Mozelius, M. Olsson, “M Learning to program by building learning games”, in Proceedings of the 11th European Conference on Games-based Learning - ECGBL, January 2017,pp. 448-455[9] T. Jordine, Y. Liang, E. Ihler, “A new game-based learning approach for learning Java on mobile devices”, Proceedings of the
DAET rubric andanalyzed using the descriptive and inferential statistics, the pre-post open-ended questionresponses were analyzed by using the constant comparative method. Findings from thequalitative and quantitative data analyses are reported.IntroductionScience, technology, engineering, and mathematics (STEM) fields are consideredfundamental to the nation’s economy [1]. In today’s world, it is critical to attract andretain more students in STEM fields [2]. With this in mind, teachers are sources ofknowledge for students, and they inevitably have a significant influence on a student’sself-image and perceived interests and abilities [3]. For these reasons, teachers who holdmore accurate views and images of engineers and engineering tend to
) can change the model from VRS to CRS, which isrepresented in the equation (3). The result of the model, Øp, is the efficiency for DMUp. Then (1/Ø), is the technical efficiency for each DMU. The maximum possible technical efficiency scoreis 1 (100%) for each DMU. In VRS, DMUp is considered efficient if the technical efficiency isequal to 1, and all the slacks (Si+, Sr-) are equal to zero [16]. min ∅ s.t. ∅ ∀ ∀ 1 , , 0
only enhance problem-solving skills but also fosterinnovation and creativity in finding solutions to complex engineering problems. Engineers rarelywork in isolation in the professional environment. They are frequently part of multidisciplinaryteams where collaboration is vital for problem solving and project completion. In addition totechnical expertise, engineering demands strong interpersonal, leadership, and conflict-resolutionabilities. In the classroom, teamwork fosters the development of technical as well as soft skillsthat are essential for success in the workplace [1], [2]. Teamwork also exposes college studentsto diverse viewpoints and concepts, fostering creativity and ingenuity [3], [4]. It helps studentsappreciate the variety of
. (2020). “If you aren’t White, Asian or Indian, you aren’t an engineer”: Racial microaggressions in STEM education. International Journal of STEM Education, 7(1), 48. https://doi.org/10.1186/s40594-020-00241-4 3 Ma, Y. (2010). Model minority, model for whom? An investigation of Asian American students in science/engineering. AAPI Nexus: Policy, Practice and Community, 8(1), 43–74. 4 McGee, E. O., Thakore, B. K., & LaBlance, S. S. (2017). The burden of being “model”: Racialized experiences of Asian STEM college students. Journal of Diversity in Higher Education, 10(3), 253. 5 Nguyen, L. M., Gabiam, N., & Poleacovschi, C. (2021). Work in Progress: Perception of the Culture of
pandemic, andviolence against unarmed Black people brought the nation to a racial reckoning. Structuralracism in the form of redlining, lower pay, unequal access to education and healthcare, and manymore forms of institutionalized bias laid a foundation for disproportionate negative health andenvironmental impacts for minoritized groups in the U.S. [1], [2]. The coronavirus pandemic,whose peak in 2020 in particular had a disproportionate effect on Black and Latinx patients,highlighted the inequalities faced by these populations who often had higher exposure to thevirus, more underlying health conditions, and less access to healthcare than their whitecounterparts [3]–[5]. The Black Lives Matter movement and the protests following the murdersof
% 0% 100% conventions, and mechanics (Pre-Proposal + Mid-Report) b) Use credible sources, 0% 0% 0% 100% evidence, and structure (Final Technical Report) c) Demonstrate oral 3.3% 0% 0% 96.7% presentation skills (Final + Mid Presentation)REFERENCES[1] Sudarsan, S., & Sekaran, E. C. (2012). Design and development of EMG-controlled prosthetic limb. Procedia Engineering, 38, 3547–3551.[2] Patil, P. G., & Turner, D. A. (2008). The development of brain–machine interface neuroprosthetic devices. Neurotherapeutics, 5, 137–146.[3] Murphy, D. P., Bai, O., Gorgey, A. S., Fox, J., Lovegreen, W. T., Burkhardt, B. W., … Fei, D
leadership in their professional guideline series [3]. In AIChE’s body ofknowledge, it lists necessary psychomotor skills of listening and interpreting, speaking andpresenting, communication, leadership, presentation, and teamwork [4]. In general, everyengineering disciple these professional skills for a successful engineer.Despite the standards set by these societies, usually in an engineering curriculum there is noformal course on professional skills. Typically, during the capstone senior design courseundergraduate engineering students are exposed to some of these skills such as presentation andteam work. Occasionally the center of career development at an institution will offer sessions onprofessional skills usually focusing on interviews and
schools, thecommunity, and the workplace [1]. Studies show that students who have an increased interest inscience, mathematics, and engineering in the early years (elementary and middle schools) oftheir education are more likely to pursue a STEM-related career [2]. Informal STEM educationexperiences are considered critical to developing the future STEM workforce [3]. InformalSTEM education can also help to address equity and access issues in STEM education. Studentsfrom underrepresented groups, including women and minorities, may face barriers to STEMeducation in traditional classroom settings, but informal STEM education can provide alternativeavenues for learning and engagement that are more inclusive and accessible [4]. Informal STEMeducation
Rowan University. Her research interests relate to the incorporation of active learning techniques such as game-based learning in undergraduate classes as well as innovation and entrepreneurship. ©American Society for Engineering Education, 2024Work in Progress: Motivational Differences Between Civil and Environmental EngineeringDoctoral Students in the Pre-writing and Writing PhasesIntroduction & BackgroundThere is a common perception among students about the difficulties associated with the dissertationwriting process. Anticipation of isolation, time management issues, and not having the technical skills towrite in a structured manner are some of the challenges that students fear[1], [2], [3]. These
a formaldefinition supported by the literature for a total of six constructs related to learning inmakerspaces. The six constructs are (1) Learning by Doing, related to the process of learningthrough active engagement in maker activities; (2) Learning by Others, related to the process oflearning through engagement with other people or artifacts created by others; (3) ContentKnowledge and Skills, related to the technical disciplinary knowledge learned in makerspaces;(4) Cultural Knowledge and Skills, related to learning and navigating the culture of amakerspace; (5) Ingenuity, related to the inventiveness of learners when creating solutionsconstrained by their making environment; and (6) Self-awareness, related to learners’development of
experimental realization of concepts learned in class. A single existing Quansersetup ($5000 per unit) had been used for demonstration purpose but the students lacked theimmersive experience a typical lab would provide.A similar, but more cost-effective equipment ($400 per unit), has been designed and seven unitshave been built and have been deployed in a laboratory setting. Three-four students share eachunit. The hardware includes Raspberry Pi 3 (a credit card-sized computer), a 14-bit positionencoder, a DC motor driver, and a 12V DC motor. The equipment bill of materials and somechallenges during assembly are included in the paper.Labs have been developed based on the designed equipment and labs were run during Fall 2017semester, with seven groups
. Available: https://eric.ed.gov/?id=ED582411[3] E. Rowley, "Examining the Teaching Needs of Engineering Faculty: How the Library and LibrarianFit In." 2021 ASEE Virtual Annual Conference Content Access, July 2021. Available:https://peer.asee.org/37125[4] K. Starcher, and D. Proffitt. “Encouraging students to read: What professors are (and aren't) doingabout it.” International Journal on Teaching and Learning in Higher Education, vol. 23, no. 3, pp.396-407, 2011. Available: https://eric.ed.gov/?id=EJ946166[5] E. Senack, and R. Donoghue. "Covering the cost: Why we can no longer afford to ignore hightextbook prices." The Student Public Interest Research Groups (Student PIRGs), 2016. Available:https://uspirg.org/ reports/usp/covering-cost.[6] E. Senack
skills, general creativity-relevant skills (cross-domain), and task motivation. A creativity assessment rubric(3) that combines bothdomain-specific and creativity-relevant skills is used to assess student designs in bothexperimental and comparison sections. The rubric items include both subjective andobjective measures of various domain-specific and domain-general aspects.Test Design Problems and evaluation metricsIdeation TestingIdeation and creativity were measured through an idea generation session during one oftheir lab times. Participants were given a design problem and two minutes to read theproblem, followed by 48 minutes to generate as many solutions as possible to theproblem with a solution format of a sketch and accompanying
technical terminology in my native language (e.g., the word for 6 (10.5%) 5 (8.8%) 8 (14.0%) 16 (28.1%) 22 (38.6%) "inheritance" in my language). 3) LLM Tutor Evaluation: We replicated the Likert questions posed to participants in the original CodeHelp study byLiffiton et al. [27] in our first survey. Our results can be found in Table III. We found similar results with students typicallyfinding CodeHelp useful to complete work and learn course material. Students were largely supportive of CodeHelp beingavailable in future CS courses. To identify significant differences, we ran an independent samples t-test across all questionscomparing NNES and NES responses. There were no significant differences