heavily influenced by that student’s self-confidence.4For many students, seeking extra help lowers their self-esteem because they find it demoralizingthat they cannot master the material on their own. The degree of a student’s perceived threat toself-esteem is directly related to their tendency to avoid seeking help. Students are embarrassedto ask for help because they risk exposing their vulnerabilities to their peers.1, 5 Therefore,students who are unsure of themselves socially are less likely to seek help.4 This is especiallytrue if the students are confident in their academic abilities and have not needed to seek extrahelp in the past.6 Students who need the most help often fail to seek it because they feel thatseeking help is a public
contributionss of the varioous modes. T The contribuutionof any given mode deepends on th he input and the mode shhape for the m mode. This one studenttquestion provides on nly a small ammount of aneecdotal eviddence that stuudents have difficulty fuullygrasping the concepts involved. But, through h years of teeaching this ttopic, many similarquestionss have arisenn. From thiss experience,, it seems reaasonable to cconclude thaat while mannyengineeriing students can easily master m the reelatively simpple mathemaatics involveed in calculaatingnatural frrequencies and a mode shaapes at least for systems with small nnumbers of DOF, manydon’t havve a clear un
activities, such as note-taking or doingcalculations, on their personal devices.Currently, InkSurvey is fully functional on the following pen-enabled mobile devices: TabletPCs (using the Firefox browser), iPads, iPhones, and Android (4.0 or better) devices. Recentimprovements ensure that the display expands to the full screen on all of these devices, makinggraphical input easier.Since the instructor controls when and how many questions are launched, it is possible to useInkSurvey for differentiated learning. For example, the instructor can initially pose a questionabout a concept that has just been covered in class. When submitted student responses indicatethat at least some students have mastered this, the instructor can then activate another
a curriculum, instructors first need todefine the students’ intended learning outcomes. Flowing from these intended learning outcomesare what they call “teaching learning activities” and “assessment tasks"; they are the means bywhich students achieve the intended learning outcomes and the measurements of the extent towhich the intended learning outcomes have been mastered, respectively.16We were fortunate that faculty and instructional staff had begun the process of defining SUTD’s Page 23.1347.5curriculum. Most of the courses in the first three semesters already had a number of intendedlearning outcomes associated with them. We took
different high schools. Page 23.1363.6The New CS AP Exam: Dr. Tiffany Barnes, University of North Carolina at Charlotte, discussed important aspects of the new CS AP exam based on her involvement with the development of the test and leading one of the pilot curriculum groups.Recruiting for Diversity: Dr. McGrath Cohoon presented attendees with a variety of research-backed information about the value, methods, and effectiveness of actively recruiting women and minorities to computing [7].Student Stories: Ashley Gaie, Brittany Johnson, and Brittany Strachan, undergraduate, Masters, and Doctoral students (respectively
Perceptions of Lower- Income Computing Students Through the Lens of Capital Exchange”.[16] G. Krenz, T. Kaczmarek, and J. Moyer, “Rapid Entry into Masters in Computing Program for Non-Majors,” in Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education V. 1, New York, NY, USA, Jun. 2021, pp. 505–511. doi: 10.1145/3430665.3456365.[17] “NSF Scholarships in Science, Technology, Engineering, and Mathematics Program (S- STEM),” NSF - National Science Foundation, Dec. 02, 2022. https://beta.nsf.gov/funding/opportunities/nsf-scholarships-science-technology-engineering (accessed Feb. 22, 2023).[18] Z. Hazari, G. Sonnert, P. M. Sadler, and M.-C. Shanahan, “Connecting high school physics
Technology) from Moi University in Eldoret, Kenya. I am extremely passionate about teaching and public information dissemination. Creating a safe, friendly and productive environment for my target audience to learn is my top priority. With a strong background in electrical engineering, I am a meticulous python programming-based data analyst with vast experience working with a variety of synthetic aperture radar datasets, arising from my two years postgraduate research studies as a Master of Engineering student. A Critical thinker continuously looking at ways of improving teacher-student engagement processes, I am adept in organizing work flow, creating lesson plans, presenting ideas in a compelling way, interacting with
engineering educators,” J. Eng. Educ., vol. 95, no. 2, pp. 139–151, Apr. 2006, doi: 10.1002/j.2168- 9830.2006.tb00885.x.[20] M. Davis, “Distinguishing architects from engineers: A pilot study in differences Between engineers and other technologists,” in Phil. Eng., 2009, pp. 15–30. doi: 10.1007/978-90-481-2804- 4_2.[21] V. B. Arnaud, “Quantifying architects’ and engineers’ use of structural design software,” Master of Engineering, Massachusetts Institute of Technology, Boston, 2013.[22] J. H. Lee, N. Gu, and M. J. Ostwald, “Creativity and parametric design? Comparing designer’s cognitive approaches with assessed levels of creativity,” Int. J. Des. Create. Innov., vol. 3, no. 2, pp. 78–94, Apr. 2015, doi
learning to Masters level • or an accredited integrated MEng degree.Similarly, for Incorporated Engineers: • either an accredited Bachelor’s or honours degree in engineering or technology • or an accredited HNC or HND in engineering or technology (for programmes started before September 1999)Because the higher qualification (CEng) requires a minimum of Master’s level (L7)qualification, Bachelor’s degrees may be accredited either to IEng standard or “partial CEng”standard.UK-SPEC lists 5 major engineering “competences” (A to E) required of Chartered Engineers(CEng). Each competence is split into sub-sections, each with its own integral components.Guidance is provided as to how each may be achieved. An extract is provided in Table
. © American Society for Engineering Education, 2024 2024 ASEE Midwest Section ConferenceBiographical Information: ADAM CARLTON LYNCH received the BS and MS degrees in Industrial and SystemsEngineering from the University of Southern California. He received his Master of InternationalManagement from the Thunderbird School of Management (part of Arizona State University). Hecompleted a PhD in Industrial, Systems, and Manufacturing Engineering (ISME) from WichitaState University (WSU) in Kansas. Dr. Lynch has 30 years of global industry experience,particularly aerospace. Dr. Lynch now serves as an Associate Teaching Professor in the AppliedEngineering department and as an Adjunct in ISME at WSU. His research interests
programming and data science at the NationalDegree College and VSP Innovations, India. Additionally, Saurabh has industrial workexperience in Data Science and Machine Learning at Tech Mahindra. He is proficient inprogramming, design & development of computational solutions, and holds a GraduateCertificate in Business Analytics.Adam Carlton Lynch, PhD Adam Carlton Lynch received the BS and MS degrees in Industrial and SystemsEngineering from the University of Southern California. He received his Master of InternationalManagement from the Thunderbird School of Management (part of ASU). He completed a PhDin Industrial, Systems, and Manufacturing Engineering (ISME) from Wichita State University(WSU). Dr. Lynch has 30 years of industry
. © American Society for Engineering Education, 2024 2024 ASEE Midwest Section Conference[9] K. Higley, T. Litzinger, P. Van Meter, C. B. Masters, and J. Kulikowich, “Effects of conceptual understanding, math and visualization skills of problem-solving in statics,” in 2007 ASEE Annual Conference & Exposition, Honolulu, Hawaii, 2007.[10] C. Venters and L. McNair, “Learning Statics: A Cognitive Approach,” in 2010 ASEE Southeast Section Conference, Blacksburg, Virginia, Apr. 2010, p. 10.[11] T. Litzinger et al., “Improving students’ ability to model during problem-solving in statics,” in 2009 ASEE Annual Conference & Exposition, Austin, Texas, 2009.[12] H. N. Hj. Haron, A. M. Shaharoun, M. Puteh, and H
engineering design. International Journal of Science and Mathematics Education, 17(1), 23-42. © American Society for Engineering Education, 2023Vincenzo A. MacriVincenzo Macri is an undergraduate student at Florida Atlantic University (FAU) pursuing adouble major in Computer Science and Computer Engineering. He is also dual enrolled inFAU’s Master of Science program with a Major in Artificial Intelligence. Vincenzo began hisstudies at FAU in the summer of 2017 in FAU’s unique high school program which allowed himto begin taking course work for his bachelor’s degrees in ninth grade. As a dual enrolled highschool student, he joined FAU’s Machine Perception and Cognitive Robotics Lab where hestudied the latest developments
. This method equipsstudents with strong technical skills on how to conduct and analyze an experiment but does notprovide the skills of planning or critical thinking. Students often approach these classes with atechnical mindset of theories and how to implement calculations and satisfy a hypothesis testcorrectly. DoE can be a challenging concept to master, often applied within a multifaceted,interdisciplinary context. It demands not only a strong grasp of its principles but also the exerciseof critical thinking and decision-making skills. The significance of DOE extends beyond itstheoretical framework. It underscores the importance of equipping individuals with the capacity tonavigate the intricate terrain of experimentation and to make choices
Annual Conference, 2017.[42] S. Young, Ultralearning: Master Hard Skills, Outsmart the Competition, and Accelerate Your Career.Harper Clinton, 2019.[43] A. Guant et al., "‘Playing the game’: How do surgical trainees seek feedback using workplace-basedassessment?," Medical Education, vol. 51, pp. 953–962, 2017.[44] A. Dennis et al., "Exploring trainer and trainee emotional talk in narratives about workplace-basedfeedback processes," Advances in Health Science Education, vol. 23, pp. 75–93, 2018.[45] N. Winstone, E. Pitt, and R. Nash, "Educators’ perceptions of responsibility-sharing in feedbackprocesses," Assessment & Evaluation in Higher Education, vol. 46, no. 1, pp. 118–131, 2021.[46] R. Laraway, When They Win, You Win. Saint Martin's
] Here I am referencing aspects of methodology (framework) for research (the focus of thebook being quantitative but equally important to consider using qualitative methods) asarticulated in Indigenous Statistics:M. Walter and C. Andersen, Indigenous Statistic: A Quantitative Research Methodology. [Online]. London: Routledge, 2016.[4] This is similar to the dimensions of positionality (research questions, epistemology, ontology,methodology, researcher-as-instrument, communication) articulated by Secules et al. in theirarticle:S. Secules, C. McCall, J. A. Mejia, C. Beebe, A. S. Masters, M. L. Sánchez-Peña, and M. Svyantek, “Positionality practices and dimensions of impact on equity research: A Collaborative inquiry and call
on statistics, optimisation, and their intersection.Vishnu Sharma Kaipu Prabhakar Sharma, The University of Texas at Arlington Vishnu Sharma is a Graduate of the Masters of Data Science Program at the University of Texas at Arlington. His research focuses on Data Mining and Computer Experiments Analysis.Soulmaz Rahman Mohammadpour, The University of Texas at Arlington ©American Society for Engineering Education, 2024 Paper ID #42370 I am Soulmaz Rahman Mohammadpour, a second-year Ph.D. student at the University of Texas at Arlington, specializing in industrial engineering. With a background
levels of ability andaccomplishment required support to learn effective strategies for learning and organizing theirstudying to succeed, rather than hard deadlines. Another group found that rigid deadlinesprevented students from fully participating in online adaptive learning assignments [16]. Rigiddeadlines with no late assignments accepted meant that students who knew they would not beable to finish by the deadline just didn’t do the assignments at all, spending the time on otherwork. This decreased their performance on other measures in the class. Mastery grading or mastery learning is another approach to student assessment that wasoriginally introduced in the 1960s [17]. Mastery grading requires students to master eachassignment by
insimulation, rather than only testing on hardware.Mid-Course Project-Development and Simulation of 3-RPR MechanismThe course has two projects used to help students master the fundamentals of the simulation andcontrol of mechanisms. There is a mid-course project and a final course project. The mid-course Figure 7. The physical setup for lab 3. Students work in pairs to test their control algorithm on physical hardware. Figure 8. Simulation of the RRRR-RRRP mechanism using MathWorks’ Simscape Multibody and Stateflow toolboxes. Students can test their high-level control algorithms in simulation prior to connecting to the hardware.project focuses primarily on mechanism simulation, and the final project includes both a fullsimulation as well
Section Conference, 2020.[25] B. M. Wallen, M. A. Butkus, N. P. Sheehan, A. Ng, and A. R. Pfluger, “Engaging students through an interactive mass balance fundamentals demonstration,” in 2020 ASEE Virtual Annual Conference Content Access, 2020.[26] A. Karimi, R. D. Manteufel, and J. F. H. Acero, “Challenges in virtual instruction and student assessment during the COVID-19 pandemic,” in 2021 ASEE Virtual Annual Conference Content Access, 2021.[27] R. D. Manteufel and A. Karimi, “Assisting adjunct faculty using committee exams,” in 2012 ASEE Annual Conference & Exposition, 2012, pp. 25–233.[28] C. B. Masters and I. S. Osunbunmi, “Return to the teaching trenches—lessons learned, and lessons relearned,” in 2023 ASEE Annual
degree in Psychology from UGA (2017) and a Master of Education in Higher Education Administration from Georgia Southern University (2021). She has higher education experience in business affairs and academic advising. She researches structures that contribute to underrepresentation in STEM majors and is currently a Graduate Assistant for the UBelong Collaborative. ©American Society for Engineering Education, 2024 First-Year Women’s Interpretations of Self-Efficacy After an Ecological Belonging InterventionIntroductionFor decades, engineering education research has documented the persistent underrepresentationof women in engineering [1], [2]. Numerous findings have shown that
Paper ID #41464From Service to Engagement: Outcomes from the Implementation of MultiyearHuman-centered Design Initiatives Across Engineering Courses to ImproveBoth Community-Partner and Student OutcomesDr. Adithya Jayakumar, The Ohio State University Dr. Adithya Jayakumar is currently a Senior Lecturer in the Department of Engineering Education at The Ohio State University (OSU). He received his Masters and PhD in Electrical and Computer Engineering from OSU.Dr. Patrick John Sours, The Ohio State University Dr. Patrick Sours is an Assistant Professor of Professional Practice in Engineering for Sustainable Development and
-to-face settings [18].Here, we implement community-building strategies in a graduate Structure and Diffractioncourse to investigate the impact of students’ sense of community on their perceptions of activelearning. Out of the many strategies to improve student buy-in for active learning, we focus oncommunity building here because of the well-documented feelings of social isolation amonggraduate students, both pre- and post-COVID [19], [20], [21], [22], [23].Methods:This study was conducted in a graduate Structure and Diffraction course at Stevens Institute ofTechnology in Hoboken, NJ. Students in the Materials Science Masters and PhD program at thisuniversity have the option of taking Structure and Diffraction as one of their core
self-regulated learning [5] and life-long learning [6]. Self-assessment is an important metacognitive skill [7]. Practicing metacognition hasbeen shown to foster more effective learning [8, 9]. Accurate self-assessment as a part of themetacognitive process helps students to discover what skills they have mastered and what areasstill need development. Pairing instructor assessments with student self-assessments allows forstudent reflection and calibration of their self-assessment capabilities, which can guide futurelearning behaviors [7]. Students have demonstrated improvement in self-assessment accuracywith practice [10], which can mitigate under- and over-confidence for a more equitable learningenvironment [7].Knowledge SurveysEd Nuhfer
Paper ID #43637Teacher’s Perceptions of the Fertility in Implementing Project-based Learningin Engineering CoursesDr. Octavio Mattasoglio Neto, Instituto Mau´a de Tecnologia Undergraduate in Physics (1983), master in Science (1989) and phd at Education (1998) all of them from Universidade de S˜ao Paulo. Professor of Physics at Mau´a Institute of Technology, since 1994 and President of Teacher’s Academy of the same Instituttion.Gabriel Monesi Souza ©American Society for Engineering Education, 2024 Teacher’s perceptions of the fertility in implementing Project Based Learning in
1three major categories: skills and achievements (getting good grades, understanding the material,mastering fundamentals, etc.), interest and enjoyment in the content, and social support [4].The complexities of social factors and their effects on self-efficacy remain understudied. Whilethere is evidence that working in teams can increase self-efficacy [5], students’ friend groupsoutside of class and how they spend time with these friends may also affect engineeringself-efficacy. This work leverages two concepts from social network analysis to begin exploringthese factors: social capital and homophily.Social capital is defined as “the ability of actors to secure benefits under membership in socialnetworks or other social structures” [6]. For
is considerable work that is still needed to prepare engineering graduates to be ethicalengineers and ethical leaders in their professional environments. This study is intended to bringawareness to what engineering ethics education should continue and improve. The results offerinsight into the critical topics that society’s future engineers might not have mastered. It is hopedthat engineering ethics educators are given the guidance to incorporate concepts in theirclassrooms like emotions— the least covered topic but something every engineer has and needsto learn how to manage.VI. LIMITATIONS & FUTURE WORKThese papers and our findings targeted general engineering ethics textbooks rather thanprofessional engineering ethics textbooks or
to help them if they needed it. In addition, somestudents interested in graduate school found the ACE Fellows to be a good resource for howapplying to and attending graduate school worked. See Table 6 for sample quotes from studentinterviews that relate to ACE Fellow specification as a role model. Example student quotes highlighting Specification of a role model “I was looking into going to a graduate program, too. So talking to him about his process of going to a different school, and whether or, like, about, like, the thesis that he had to do for the masters program, and through the uh, like, what his research is to the doctors program. Um, like the Phd program, it's been like, really insightful of like different perspectives, I guess, of
) Reichelderfer Endowed Chair awarded in June 2022 to Dr. Estell.We would like to thank the 2024 Program Chair for the Computers in Education Division(CoED), Dr. Jean Mohammadi-Aragh, for allowing the body of this paper to extend beyondCoED’s 10-page limit as specified in the Call for Papers for this Annual Conference.References[1] C. Thompson, "The Secret History of Women in Coding," The New York Times, 13 February 2019. [Online]. Available: https://www.nytimes.com/2019/02/13/magazine/women-coding-computer-programming.html. [Accessed 11 January 2024].[2] S. Cheryan, A. Master and A. Meltzoff, "There Are Too Few Women in Computer Science and Engineering," Scientific American, 27 July 2022. [Online]. Available: https://www.scientificamerican.com
master’s students, one from ComputerScience (CS) and another from ECE), and one peer mentor – an undergraduate and formerROLE participant from CS. The mentors spend time in the lab, guiding the student participantsin learning and mastering the technical concepts and research skills needed to complete theirprojects. Students present deliverables weekly regarding programming assignments in real-timerobotic demonstrations. Mentors use the learning management system Canvas to organizeresources and materials that students can access. Students use Canvas to submit theirassignments and to interact with mentors when questions arise. Also, graduate mentors and thepeer mentor hold informal discussions about topics such as graduate school, research as