). Teaching and Learning STEM: A Practical Guide (1st edition). Jossy-Bass.Grigg, S., & L. Benson. (2015). Promoting Problem-solving Proficiency in First-year Engineering: PROCESS Assessment. Proceedings of the ASEE 2015 Annual Conference, Seattle, WA.Hibbeler, R. C. (2007). Engineering Mechanics Statics (11th edition). Pearson.Hilpert, J. C., Husman, J., Stump, G. S., Kim, W., Chung, W. T., & Duggan, M. A. (2012). Examining students’ future time perspective: Pathways to knowledge building. Japanese Psychological Research, 54(3), 229–240. https://doi.org/10.1111/j.1468- 5884.2012.00525.xHusman, J., & Lens, W. (1999). The role of the future in student motivation. Educational Psychologist, 34
-principles- guidelines-and-examples[2] D. L. Edyburn, “Universal Usability and Universal Design for Learning,” Interv. Sch. Clin., vol. 56, no. 5, pp. 310–315, May 2021, doi: 10.1177/1053451220963082.[3] C. S. Sanger, “Inclusive Pedagogy and Universal Design Approaches for Diverse Learning Environments,” in Diversity and Inclusion in Global Higher Education: Lessons from Across Asia, C. S. Sanger and N. W. Gleason, Eds., Singapore: Springer, 2020, pp. 31–71. doi: 10.1007/978-981-15-1628-3_2.[4] L. Bosman and S. Fernhaber, Teaching the Entrepreneurial Mindset to Engineers. Cham: Springer International Publishing, 2018. doi: 10.1007/978-3-319-61412-0.[5] Doug Melton, “CURIOSITY: What do we mean?,” KEEN Cards, Engineering
whoused AI in their water resources classes versus those who did not. This comparison is intendedto realistically denote whether the use of AI influences the improvement of water resourceclasses, thus visualizing whether the use of AI allows for a better overall understanding of thesubject.References [1] George, B., and Wooden, O., 2023, “Managing the Strategic Transformation of Higher Education through Artificial Intelligence,” Adm. Sci., 13(9), p. 196.[2] Sadiku, M. N., Musa, S. M., and Chukwu, U. C., 2022, Artificial Intelligence in Education, iUniverse.[3] Padilla, R. D. M., 2019, “La Llegada de La Inteligencia Artificial a La Educación,” Rev. Investig. En Tecnol. Inf. RITI, 7(14), pp. 260–270.[4] Haleem, A., Javaid, M., and Singh
work that was supported by the National Science Foundation Grant #1915615, titled “Adapting an Experiment-centric Teaching Approach to Increase StudentAchievement in Multiple STEM Disciplines”. It should be noted that the opinions, results andconclusions or recommendations expressed are those of the author(s) and do not necessarilyreflect the views of the National Science Foundation.References[1] H. P. Learn, “Brain, mind, experience, and school,” Comm. Dev. Sci. Learn., 2000.[2] M. Weimer, Learner-centered teaching: Five key changes to practice. John Wiley & Sons, 2013.[3] Learning Science in Informal Environments: People, Places, and Pursuits. Washington, D.C.: National Academies Press, 2009, p. 12190. doi: 10.17226/12190.[4] S
citations in the report. Here a few patterns ofincorrect processing were observed. Namely, if the bibliography was all single spaced, the AIstruggled to meaningfully identify and separate each citation. Additional issues were observed ifthe size, emphasis, or color of the font changed within a given bibliography. Figure 1 shows anexample of a bibliography that GPT4’s vision capabilities found particularly challenging toparse. In the cases where the AI was not performing well, additional measures were taken toimprove performance including telling it the number of citations it should find within thebibliography, positive reinforcement, and breaking the bibliography down into multiple parts. Itwas particularly interesting to note how prompting the GPT
students what their preferred way to ask for help would be,given the options available. This ensures students are aware of the multiple points of accesswhen they require help from the Libraries. As a bonus, it also provides us with anecdotalfeedback on how students prefer to interact with librarians.Nearpod also has the ability to share the lesson separately, so one may review it asynchronously.In this post-Covid-19 pandemic environment, this is especially important for students who are illand need to miss class. Faculty can contact the librarians for a link to the Nearpod for thatsemester to share with their student(s). The librarian can then follow up with a report confirmingthe student’s participation. While the previous assignment was on the
problem for sufficiently large numbers, for most introductory C programming this is not aproblem. For example, strlen returns an unsigned integer. This means the following code can leadto a compiler warning.f o r ( i n t i = 0 ; i < s t r l e n ( ” H e l l o ” ) ; i ++)Some other issues were the sluggishness of every operation. Running Ubuntu inside a virtualmachine is taxing on the graphics card, and the slow build times of catch2 was a frequent complaint.Novice students tend to write relatively small programs, so the additional compile time can slowdown their development cycle.In subsequent iterations, students running Windows were instructed to use Windows Subsystem forLinux (WSL) instead of a hypervisor. Visual Studio Code (and CLion) both
. AcknowledgmentsThis work was supported through funding by the National Science Foundation (NSF CAREER#2045392). Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation. Additionally, the authors gratefully acknowledge the anonymous reviewersfor their constructive feedback, which helped us to sharpen the paper. References[1] S. A. Bjorklund, J. M. Parente, and D. Sathianathan, “Effects of faculty interaction and feedback on gains in student skills,” J of Engineering Edu, vol. 93, no. 2, pp. 153-160, 2004.[2] E. K. Briody, E. Wirtz, A. Goldenstein, and E. J. Berger, “Breaking
the systemic investment of time to address the challenge of teachingfor tenure-track faculty members, particularly new faculty who can receive shared resources,teaching approaches, and mentoring to teach engineering courses. On the other hand, otherfaculty members addressed the role of engineering departments on complex issues for teachinglarge class size undergraduate engineering classes. A faculty member pointed out that“Requirements of teaching personnel, space, and equipment for specific classes should beclearly spelled out and agreed on by the department(s)." Although teaching has been morevalued in this college of engineering in recent years, compared to research, college ofengineering and individual engineering departments will need to
. 5Acknowledgments We thank the Petit Family Foundation's Haley's Hope and Michaela's Miracle MSMemorial Fund; Balvi Filantropic Fund; TexAire Heating and Air Conditioning; The HomeDepot; and the University of Connecticut School of Medicine, College of Engineering, andSchool of Nursing for financial support, discounted materials, and/or donations of materials.References[1] B. U. Lee, "Minimum sizes of respiratory particles carrying SARS-CoV-2 and the possibilityof aerosol generation", Int. J. Environ. Res. Public Health, vol 17 (19), pp 1–8, 2020.[2] S. Karimzadeh, R. Bhopal, H.N. Tien, "Review of infective dose, routes of transmission, andoutcome of COVID-19 caused by the SARS-COV-2: comparison with other respiratory viruses",Epidemiology and
variety of instructional modes. Future studies could benefit from a designwhere students experience each mode of instruction for different subjects to provide a moreaccurate measure of preference and performance. Such research would offer a deeperunderstanding of how different instructional modes influence learning outcomes and couldpotentially inform more effective educational practices. References[1] Freeman, S., et al. 2014. Active learning increases student performance in science,engineering, and mathematics. Proceedings of the National Academy of Sciences, 111(23),8410-8415.[2] Prince, M. 2004. Does active learning work? A review of the research. Journal ofEngineering Education, 93(3), 223-231.[3
for lab instructors to assist their lab development, assignments, assessments, andfeedback, and the student’s guide, designed to support students in writing lab reports. Theinstructor’s guide has six modules, while the student’s has thirteen. Each module has a separateweb page with graphics and example files. Figure 1 shows module page examples from eachguide.After collecting all the written lab instructional materials from the participating lab courses, wereviewed them quantitatively to identify which module(s) from the guides were used for each labcourse in the experiment year. This approach showed how participating lab instructors used ourmodules to update their lab writing instructions. We also conducted a qualitative analysis tocompare
qualitative results. A more detailedexplanation of the number and types of questions can be seen below in Figure 4, as well as thefour complete student surveys found in Appendix 1. Figure 4: Assessment strategy during each sample semester of CE350: Infrastructure Engineering, dividing the entire course into two even groups to get a balance of responses both before and after the lesson.Students in “Group 2” were presented with a shorter, qualitative-focused survey before thelesson. Unlike Group 1, Group 2’s initial questions were only meant to gauge studentknowledge of the material before the demonstrator lesson. In this way, Group 2 was used as acontrol group to prevent all students from seeing the qualitative questions
mitigated.Second, the question of “What language should we teach our course in?” is asked of CS1 andCS2 instructors all the time. Courses can and do change their language(s) of choice based on thechanging needs of students. While the findings here suggest that a change in language may notcreate many challenges to students in downstream classes, it is important to recall the limitationsof this study. Many students have self-selected into pathways that indicate they are stronglyprepared to pick up a new language without much trouble. Not all students will be able to do thiswith ease. Nor are computing languages structured in the same way. An AP student with abackground in Java may transition better to a course in C++ than a CS1 student with abackground in
#1915615, titled “Adapting an Experiment-centric Teaching Approach to Increase StudentAchievement in Multiple STEM Disciplines”. It should be noted that the opinions, results andconclusions or recommendations expressed are those of the author(s) and do not necessarilyreflect the views of the National Science Foundation.References[1] F. Commodore, M. Gasman, C. Conrad, and T.-H. Nguyen, “Coming Together: A Case Study of Collaboration Between Student Affairs and Faculty at Norfolk State University,” Front. Educ., vol. 3, May 2018, doi: 10.3389/feduc.2018.00039.[2] O. S. Tan, Problem-based Learning Innovation: Using Problems to Power Learning in the 21st Century. Thomson, 2003. [Online]. Available: https://books.google.com
study. There are likely learning opportunities availableregarding the reach and impact of the podcast for student creators possible with these tools.Nevertheless, this work has shown success in asynchronously delivering a nature-inspiredpodcast creation curriculum. The project will continue to be included as an asynchronousenrichment component to the Industrial Controls course used in this study.6. References• [1] S. Protopsaltis and S. Baum, "Does online education live up to its promise? A look at the evidence and implications for federal policy," Center for Educational Policy Evaluation, pp. 1-50, 2019.• [2] D. T. Altindag, E. S. Filiz, and E. Tekin, "Is online education working?," National Bureau of
lectures as an alternative to traditionallectures, finding that such interactive tools enhanced student understanding of key conceptscompared to traditional passive learning environments [10]. Julie Linsey and her team in 2009used pre/post lecture quizzes to evaluate active learning tools in an engineering mechanics course,observing measurable increases in learning outcomes compared to standard lectures [11].Similarly, Jeffrey S. Nevid and colleagues in 2009 employed mastery quizzes before and after thelecture in an introductory psychology course, demonstrating their effectiveness as a pedagogicaltool to focus student attention on important lecture concepts and predicting course examinationperformance [12].The beneficial impacts of pre-post
, S, and T-gates and analyzing the results. 2. Create Quantum-Dice game using Qiskit applying Hadamard gate to create a superposition state. 3. Create a Quantum Coin-Flip game, Quantum Tic-Tac-Toe, and Quantum Rock-Paper Scissors game using different quantum gates. Students should use IBM Quantum Simulator 4. Create quantum search Algorithm using simple Grover Search Algorithm and analyzing the results 5. Using IBM Qiskit, implement QFT Algorithm on different states such as a five-qubit state of ‘10110’ 6. Using the Provider Object, find how many quantum systems do they have access to for 5 or more qubits. 7. Using IBM Simulator, create and draw a schedule with Gaussian Waveform from the
outside of the US educational system.The instances in which the authority figure refused to discuss theories and class materialshappened during his time in Saudi Arabia, within the ME education system. A similar experiencewas mentioned by Student 102: Interviewer: “You mentioned that there was a difference between studying back home and then studying here in the us. When it comes to the professors back home and the professors here, what do you think is the main difference? Student 102: “You won't be given the opportunity to ask questions there … Back home, if you are allowed to ask a question, that question would be either answered with yes or no, and that's it.”Student 102’s experience with questioning
Education, vol. 35, no. 4, pp. 601-635, 2013.[7] J. P. Smith III, A. A. DiSessa, and J. Roschelle, "Misconceptions reconceived: A constructivist analysis of knowledge in transition," The journal of the learning sciences, vol. 3, no. 2, pp. 115- 163, 1994.[8] J. H. Wandersee, J. J. Mintzes, and J. D. Novak, "Research on alternative conceptions in science," Handbook of research on science teaching and learning, vol. 177, p. 210, 1994.[9] S. Vosniadou, "Conceptual change research: An introduction," in International Handbook of Research on Conceptual Change: Routlege, Taylor and Francis, 2013, pp. 1-8.[10] C. A. Chinn and W. F. Brewer, "The role of anomalous data in knowledge acquisition: A theoretical
Wu, Sheryl Ehrman, Lilia Abron, David Sul, Julianne Jones,Paloma Beamer), contributing members of the ADVANCE SPACES grant External AdvisoryCommittee (Junko Munakata-Marr and Susan Powers), and collaborators on the CER task forceat the AEESP (Justin Hutchison, Jose Cerrato, Mira Olson). The first author gratefullyacknowledges early partners on her learning journey about SL and CE, including BernardAmadei, Kurt Paterson, and Chris Swan.References[1] T.K. Stanton, D.W. Giles Jr., N.I. Cruz, Service-Learning: A Movement’s Pioneers Reflect on Its Origins, Practice, and Future, Jossey-Bass, 1999.[2] M. Natarajarathinam, S. Qiu, W. Lu, “Community engagement in engineering education: A systematic literature review,” Journal of Engineering
, 2009. Accessed: Jan. 26, 2024. [Online]. Available: https://www.proquest.com/openview/75686b894eb3100e05681fc2768fcfba/1[3] J. H. Robbins and D. M. Schmitt, “Who is leading us toward quality professional development? ,” in American Association of Colleges for Teacher Education, Chicago. Accessed: Jan. 26, 2024. [Online]. Available: https://files.eric.ed.gov/fulltext/ED367632.pdf[4] S. A. Woods, N. Diprose, M. Murphy-Diprose, and G. Thomas, “Effective interim leadership and management: development of a cyclical model of interim assignments,” Journal of Organizational Effectiveness, vol. 7, no. 2. Emerald Group Holdings Ltd., pp. 173–190, Jul. 17, 2020. doi: 10.1108/JOEPP-10-2019-0094.[5] K. W
research paper will specifically explore the past production of solar energy in all the statesin the US, and with the use of data analysis tools will predict the production to the year 2030.The reduction of CO2 emissions with the use of renewable solar energy is in direct support of thethree elements of sustainability, namely the 3Es: Environment, Economics, and Equity (or socialjustice). This research will quantify the past benefits already realized in all these three areas forsolar energy, and project them up to 2030. Cluster analysis technique will be applied to solar generation across all US States to identifygroup(s) at distinct levels of production. This can help States to follow the leading State(s) policyand process to increase their solar
in US society [11]. Engineers work across industries and are at times the interface betweenmanagement and the production and operation of the organization. The development ofengineering as a profession and the focus of engineering education has been intertwined withcurrent national and international needs hence preparing and educating engineers to meet theneeds of the future is often a common theme in engineering program development, accreditationand reform [5][12], [13], [14]. Approaches to engineering education are variable across nationalborders and reflective of the national culture [13]. In the 1950’s engineering education in the USevolved into programs heavy with math and sciences [13] and most engineering programs haveretained this
required additional prompting through clarification question(s)(Question 4). While four students did present an HLC-indicating evaluation that included costand efficiency (80%), three of the students also mis-evaluated and/or mis-applied concepts (60%IU), displaying mixed outcomes. Several answers alluded to concepts related to the build projectbut less relevant to the broader context of large-scale water treatment operations (i.e. “overflow,running out of chemicals, or not adding in things at the correct time”). This disconnectedresponse may be indicative of students thinking that all project concepts correlate with real life, apotential issue of PBL. It is unclear if these answers show an incorrect or merely an incompleteunderstanding of full
Grant #DGE1255832.Any opinions, findings, conclusions, or recommendations expressed in this material are those ofthe author(s) and do not necessarily reflect the views of the National Science Foundation.REFERENCES[1] Council of Graduate Schools, “Ph.D. completion and attrition: Analysis of baseline program data from the Ph.D. completion project,” Washington D.C, 2008.[2] R. Sowell, J. Allum, and H. Okahana, “Doctoral initiative on minority attrition and completion,” Council of Graduate Schools, Washington D. C, 2015.[3] M. Bahnson and C. G. P. Berdanier, “Current trends in attrition considerations of engineering Master’s and Ph.D. students at research-intensive universities in the United States,” Int. J. Eng. Educ., vol. 39, no. 1
Abington, Abington, PA, 19001, USA 2 Institutional Researcher, Penn State Abington, Abington, PA, 19001, USA 3 College of Arts and Sciences, Embry-Riddle Aeronautical University, Prescott, AZ, 86301, USAAbstractAt its essence, collaborative efforts define STEM research. Likewise, one can anticipate thatfostering interdisciplinary collaboration in STEM education will yield positive outcomes. Arecent NSF S-STEM grant has empowered us to formulate and implement integrated courses atPenn State Abington, covering subjects in mathematics, physics, and engineering.Despite calculus being a prerequisite for physics across many undergraduate programs in theUnited States, a
the growing needs ofthe industry.References[1] J. Krajcik, “Three-Dimensional Instruction: Using a New Type of Teaching in the Science Classroom,” Science Scope, vol. 039, no. 03, 2015, doi: https://doi.org/10.2505/4/ss15_039_03_16.[2] İ. Topsakal, S. A. Yalçın, and Z. Çakır, “The Effect of Problem-based STEM Education on the Students’ Critical Thinking Tendencies and Their Perceptions for Problem Solving Skills,” Science Education International, vol. 33, no. 2, pp. 136–145, May 2022, Available: https://icaseonline.net/journal/index.php/sei/article/view/400[3] C. Sen, Z. Ay, A. Seyit, and Kiray, “STEM Skills in the 21 st Century Education.” Available: https://www.isres.org/books/chapters/STEM
research grant (e.g., NSF),s/he must comply with already structured research as stated in the grant proposal which rarelyincludes RT as defined and outlined above (NSF’s Broader Impact criterion is not RT). In spiteof these institutional, structural, and procedural constraints, the student co-authors in this paperdeveloped a commitment to RT mainly due to the spaces that their HES graduate programopened to do so and the guidance of faculty committed to RT. Hence, as expected, their RTefforts had to be implemented somewhat haphazardly, often circumventing established academicpractices but without placing themselves in trouble. Other students, while deeply committed toRT, found themselves prioritizing traditional academic writing, valued by academic