- Respiratory Physiology and Technology Reflection Discussion - - Research in Electronic Students Medical Records Reflection Discussion – Students, InstructorsFigure 1. Co-Production Program Schedule. A) In Weeks 1 and 2, students attended dailybriefings, didactic lectures, virtual rounds and individual/group reflection sessions anddiscussions. B) Core lecture topics ranged from Needs Finding to Technology in Pediatrics areas.Weeks 3-10 were devoted to student
doctoraldissertations: Balancing library collections with students’ research information needs. TheJournal of Academic Librarianship, 41(5), 613–620.https://doi.org/10.1016/j.acalib.2015.06.022[6]. Bharti, N., & Bossart, J. (2016). Peer-reviewed publications analysis of chemicalengineering faculty at the University of Florida. Performance Measurement and Metrics, 17(3),263–272 DOI 10.1108/PMM-04-2016-0014[7] Flynn, K. H. (2020). Citation analysis of mathematics and statistics dissertations and thesesfrom the University at Albany. Science & Technology Libraries, 39(2), 142–154.10.1080/0194262X.2020.1727396[8]. Kelly, M. (2015). Citation patterns of engineering, statistics, and computer scienceresearchers: An internal and external citation analysis
implementing personalized learning in rural schools, no. April. FutureReady.org, 2017. [E-book] Available: https://futureready.org/wp- content/uploads/2017/04/FRS_Rural-District_Guidebook_04102017.pdf. [Accessed Nov. 15, 2021][8] P. Rad, M. Roopaei, N. Beebe, M. Shadaram, and Y. A. Au, “AI thinking for cloud education platform with personalized learning,” in Proceedings of the 51st Hawaii International Conference on System Sciences, 2018, vol. 9, pp. 3–12, doi: 10.24251/hicss.2018.003.[9] I. Goodfellow, Y. Bengio, and A. Courville, Deep Learning. MIT Press, 2016.[10] S. Zhang, L. Yao, and A. Sun, “Deep learning based recommender system: A survey and new perspectives,” ACM J. Comput. Cult. Herit., vol. 52, no. 1
Paper ID #34694Examining the Teaching Needs of Engineering Faculty: How the Library andLibrarian Fit InMs. Erin Rowley, University at Buffalo Erin Rowley is the Head of Science and Engineering Library Services at the University at Buffalo and serves as the Engineering Librarian. Before coming to UB, Erin was the head of a research team at a consumer products testing laboratory specializing in international standards and regulatory research. At UB she assists faculty, students, and staff with library resource instruction and engineering-related research including standards, technical reports, and patents. Erin’s research
AE 3 8 2 FS&T 5 1 0 Academic standing Juniors 9 9 7AGEN 352 comprises two one-hour lectures and a two-hour laboratory session each week. Thelectures focus on introducing engineering concepts, systems, and components in food-processingsystems and explaining techniques and methods relevant to such systems through a combinationof PowerPoint slides and lecture handouts. The subsequent two-hour lab session focuses onreinforcing the students’ learning by providing them with an opportunity to apply, test, andevaluate the key concepts discussed in the lecture materials.In the
microphones, no need forcamera operators or technical support as students have their own devices. We also value student autonomy.Students can use MS Teams and the physical classroom 24/7 as the door is never locked (literally andfiguratively) and students each have their own channels in MS Teams where they can meet, store information,chat, all at their convenience without worry of the information disappearing when a class session ends for theday. While helpful for planning purposes, students do not have to provide advanced notice or justification whenthey need to be remote as the approach can readily foster their engagement.As a routine, instructors and students plan to be face-to-face in the classroom. Prior to each class meeting, theinstructor will
important that detailed information of acompany’s employees, vendors, and payment history are recorded in order for the business tooperate efficiently and comply with the law. The requirements for this system include: (1) theability to track employee information, such as salary, responsibilities, seniority and otherrelevant information, (2) the ability to track job applicants, including their contact information,resume, etc., (3) the ability to track vendors that the company purchases products or servicesfrom, as well as a history of any invoices that the company has received, and finally (4) theability to track payments that have been paid to both employees and vendors. With thecomplexity of the above system requirement, considering software
related to electricity using PhET simulations?MethodologyThis research uses quantitative methodology. Students participated in assessments using aninventory focused on electrical concepts, and a survey was conducted to assess perceptions ofusing PhET interactive simulations as a teaching resource.Context and participantsThis study was conducted in a one-semester general physics course at the university level in aprivate university in Chile. The main topics covered in the course are kinematics,thermodynamics, electric circuits, and waves. Lecture time is in-presence modality (3 hours perweek), and the workshop is offered online (1.5 hours per week). Workshops are not mandatory;thus, the sessions are recorded. However, students must attend or
comes fromhands on testing and each team will ensure testing of concepts prior to solidifying final designs.As part of this process, each team member is required to report – in memorandum format and inan oral presentation – their prototype design, device, test procedure, and test results. They submittheir work to the instructor and share their results with their team members. At the end of thesemester the students reflect, using an online survey, on the role the individual prototyping andtesting experience played in their (1) contribution to the team, (2) learning of technical matter,and (3) confidence in working a design project in the future.This paper reports on the student responses to this reflection. It also reports on the evaluation
Student Experiences at a Minority Serving Institutuin (MSI)," in 2021 ASEE Annual Conference, Virtual conference, 2021.[2] D. R. Walker, Y. Maeda, M. Ohland and L. Tay , "The Impact of Department Diversity on Student Persistance and Success in Engineering," in 2021 ASEE Annual Conference, Virtual Conference, 2021.[3] R. Vivian, K. Falkner and C. Szabo, "Broadening Participation in Computer Science: Key Strategies from International Findings," in Preceedings of the 48th ACM Technical Symposium on Computer Science Education, Seattle, 2017.[4] R. Fall, S. Freeman, R. Greenberg, D. Kaiser and N. Sridhar, "Computer Science through Current Enrollment: A Strategy to Broaden Participation," in Proceeding of the 51st ACM Technical
showed that girls found engineering careers 25% moreinteresting which contradicts the work of LTO Brien et. al. (2017) and Wang (2018) for middleschool girls. Instruction led by female industry engineers and female student engineers likelyincreased girl participants’ interest to pursue engineering careers. Female engineering studentsand female industry representatives provided professional development sessions that focused onwomen in technical leadership roles and confidence building exercises.References[1] V. M. White, J. H. Alexander, and D. Prince, “Mississippi BEST robotics: An analysis of impact and outcomes on student performance and perceptions towards earning STEM degrees,” ASEE Annu. Conf. Expo. Conf. Proc., vol. 2017-June
alongwith an undergraduate student as a mentor/mentee. Bringing the three populations togetherprovides a unique mentoring scaffold that serves to encourage the high school women andundergraduate women to consider advanced degrees, while also providing the graduate studentswith valuable teaching and mentoring opportunities. Development of the WRAMP program hasfollowed an iterative process using formative feedback from previous WRAMP sessions andprogram surveys to adjust the model for improved success. This paper discusses the evolution ofthe WRAMP program model with three (3) iterations, the successful recruitment of high schoolparticipants from underserved populations within the local public schools, and programevaluation from the perspective of
explanations Guide students to adopt a Proposing using concepts they have learned thus far. microscopic perspective and Hypotheses Group discussions can be employed to bridge their existing stimulate thinking. knowledge with new insights. Step 3: Enable students to design experiments to test Students develop higher-order Designing the validity of hypotheses that the class has just thinking skills and bolster Experiments proposed. Emphasize how the experimental their confidence, particularly to Test outcomes would either support or contradict a if their proposed experiments Hypotheses hypothesis. The
twice per week that would be worth three credits.Since the studio format is ideally adapted to the flipped classroom and the active learningmeasures the author has been increasingly using in his classes, starting in the 2018-19 academicyear, he began to change his course formats to studio. The lecture/lab format of the siteengineering, urban hydrology, and stormwater management courses was changed to studio.Because of the necessary and distinctive nature of the laboratory component of the surveyingcourse, it was left unchanged. The stormwater management course was changed from a 4-creditlecture/lab course with 2.5 hours of lecture and 2 contact hours of laboratory to a 3-credit studiocourse with 5 contact hours of studio in two 2.5-hr sessions
Society for Engineering Education Annual Conference & Exposition Proceedings, Session 10806[11] A. Guerra, R. Ulseth, and A. Kolmos, PBL in Engineering Education: International Perspectives on Curriculum Change, Sense Publishers, Springer, Rotterdam, the Netherlands, 2017.[12] J. E. Mills and D. F. Treagust, “Engineering Education – Is Problem-Based or Project-Based Learning the Answer,” Australasian Journal of Engineering Education, The Australasian Association for Engineering Education, Inc., pp. 2 – 16, 2003.[13] L.S. Vigotsky, Thought and language, Cambridge, MA: M.I.T Press, 1962.[14] L.S. Vigotsky, Mind in society, Cambridge, MA: Harvard University Press, 1978.[15] A. Kozulin, “Vygotsky’s theory in the
Diego (USD) integrated engineering department offered a newsociotechnical energy course for second-year students in 2020; the course ran for a second time in2021. We shared about this Integrated Approach to Energy course, including the pedagogicalapproach and student outcomes in previous publications [1-5]. The course objectives are asfollows: 1. Identify, formulate, and solve engineering problems related to a range of energy concepts (e.g., efficiency, heat, work, and appropriate units). 2. Categorize types of energy using appropriate engineering terminology (e.g., mechanical, internal, solar, electrical, chemical, and nuclear) and perform calculations related to energy transformations. 3. Explain the fundamental operating
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 entirely project-based
, M. Heagney, and L. Thomas, “Improving Student Retention in Higher Education: Improving Teaching and Learning,” Australian Universities’ Review, vol. 51, no. 2, pp. 9–18, 2009.[25] T. D. Nguyen, J. W. Kramer, and B. J. Evans, “The Effects of Grant Aid on Student Persistence and Degree Attainment: A Systematic Review and Meta-Analysis of the Causal Evidence,” Review of Educational Research, vol. 89, no. 6, pp. 831–874, Dec. 2019, doi: 10.3102/0034654319877156.[26] Li, C. Q. (2021). Teaching Mechatronics to Non-traditional Mechanical Engineering Students-An Adaptive Approach. International Journal of Engineering Pedagogy, 11(3).e[27] Turner, P. E., Johnston, E., Kebritchi, M., Evans, S., & Heflich, D. A. (2018
unique to Duke?," Duke Chronicle, 24 October 2017. [Online]. Available: https://www.dukechronicle.com/article/2017/10/with-large-classes-and-waitlists-compsci- feels-growing-pains-but-are-those-pains-unique-to-duke. [Accessed 1 January 2020].[5] G. V. Glass and M. L. Smith, "Meta-analysis of research on class size and achievement," Educational evaluation and policy analysis, vol. 1, no. 1, pp. 2-16, 1979.[6] L. E. Winslow, "Programming pedagogy - a psychological overview," SIGCSE Bull., p. 17–22, 1996.[7] N. Bosch, S. D’Mello and C. Mills, "What emotions do novices experience during their first computer programming learning session?," in International Conference on Artificial Intelligence in Education, 2013.[8] E. J. Kim and K
for students to connect together in teams and to instructors. Future case studiescould give the opportunity to continue to further explore students’ experiences in using kits andtools, and how they are used by students in varying circumstances and capacities to support themin experiential learning.References[1] D. A. Kolb, Experiential learning: Experience as the source of learning anddevelopment. Upper Saddle River, NJ: FT Press, 2014.[2] M. Gadola, and D. Chindamo, “Experiential learning in engineering education: The roleof student design competitions and a case study,” International Journal of MechanicalEngineering Education, vol. 47 ED-1, pp. 3-22, 2019.[3] C. L. Garay-Rondero, E. Z. R. Calvo, and D. E. Salinas-Navarro
at ATA Engineering where he worked as a structural analysis engineer for nine years. During this time, he both took and taught multiple professional courses and realized how many technically brilliant instructors struggled to convey information in a way that could be readily absorbed by the students. Now in his eighth year in academia Michael is researching how various teaching methods and study habits affect the absorption and long-term retention of class material in the hopes of best preparing students for their future as engineers. ©American Society for Engineering Education, 2024 Reflections on Integrating MATLAB Grader Across a Mechanical
definingcharacteristic of the ideal engineering education in today's world is the integration of hands-on,experiential learning with classroom-taught theory. It is vital for students to have the opportunityto work on practical projects in order to internalize the concepts that they learn in the classroom 3.Companies are increasingly seeking employees with a well-rounded, comprehensive educationalexperience encompassing a wide range of areas where students are exposed to the complexity ofengineering problems in today’s world, resulting in the need for engineering colleges totransform their curricula by putting in more effort to cater to the future workplace demand 3.Engineering programs at the university level need to expose students to engineering problemsthat
Education Research, Aditya Johri and Barbara M Olds, Eds., New York: Cambridge University Press, 2014, pp. 103–118.[29] W. Hung, “All PBL Starts Here: The Problem,” Interdisciplinary Journal of Problem- Based Learning, vol. 10, no. 2, Aug. 2016, doi: 10.7771/1541-5015.1604.[30] W. Hung, “The 3C3R Model: A Conceptual Framework for Designing Problems in PBL,” Interdisciplinary Journal of Problem-Based Learning, vol. 1, no. 1, May 2006, doi: 10.7771/1541-5015.1006.[31] J. E. Holgaard, A. Guerra, A. Kolmos, and L. S. Petersen, “Getting a hold on the problem in a problem-based learning environment,” The International journal of engineering education, vol. 33, no. 3, pp. 1070–1085, 2017.[32] A. E. J. P. Jacobs, D. H. J. M. Dolmans
anintegrated Physics and Math course [3]-[4]. Our teamwork resulted in discussions of differentapproaches to the classes in physics and math and the discovery of discrepancies in them. Inprevious work, the authors presented some lines of study related to such findings [5]. This workseeks to expand one of the themes mentioned in said research.Theoretical FrameworkLinguistics, the study of the historical trace of languages, its laws, limitations, and definitions,deal with symbols and their meanings [5]. Semantics and semiotics have given particular order tothe linkage between the signifier and the signified, the exponent and its signification, the wordversus the meaning. The nature of these linguistic networks opens the door to reflect on how weuse and
theirdesigns during the judgment-free "Concept Generation Phase." In the next phase of the game,"Concept Selection and Debate," they must argue with their teammates to select the best designto submit for their fictional group project. The twist of the game is that the initial bias of students–which design they would like the team to submit– as well as their personality –the method thatthey use to argue– are both determined by randomly dealt cards. This causes the students to stepoutside of their comfort zone and internally reflect on how they argue their opinions normallyversus how others might make a similar argument. In the "Grading" phase of the game, the teamreceives a score based on if they were able to receive a majority or total consensus. The
Paper ID #27256Pipeline Development of Skilled Students in Advanced Control SystemsDr. Ahmed Cherif Megri, North Carolina A&T State University Dr. Ahmed C. Megri is an Associate Professor of engineering. He received his HDR (Dr. Habilitation) in Engineering Sciences, from Marie and Pierre Curie University, Paris VI (Sorbonne Universities), in 2011, and his Ph.D. in Thermal Engineering, from Lyon Institute of Technology in 1995. He wrote more than 100 papers in the journal and international conferences. His research interests include thermal and mechanical modeling and simulation of materials. He participates in multiple
),an introductory meeting (Step 9) is held to orientate the mentors and mentees on the goals andplans of the program. During the introductory meeting, a training session for the mentor-menteepairs is conducted to enhance their understanding of their roles. Step 10 comprises thefacilitation, data collection, and tracking of measures for program activities. The New FacultyDevelopment and Mentoring (NFDM) model (Figure 3) is executed at this step to supportactivity development. When creating the program activity plan, the challenges of formalmentoring as previously discussed, should be considered along with devising a plan to overcomethose challenges. Validation of the program elements is reviewed during step 11 using the datacollection from Step
Continuous Quality Improvement Coordinator at Pontificia Universidad Catolica ´ de Chile (PUC-Chile) at the Engineering School in Pontificia Universidad Catolica de Chile (PUC-Chile). Carolina received an MA in Social Sciences from the Universidad de Chile.Mrs. Ximena Hidalgo Psychologist, faculty development coordinator, Division of Engineering Education. School of engineering ˜ of Pontificia Universidad CatA³lica de Chile.Miss Isabel Hilliger, Pontificia Universidad Cat´olica de Chile Isabel Hilliger is Assistant Professor of Practice and Associate Director for Assessment and Evaluation at the Engineering Education Unit in Pontificia Universidad Cat´olica de Chile (PUC-Chile). Isabel
, John T. Korb, Mark Haugan, and Antony L. Hosking. A multidisciplinary approach towards computational thinking for science majors. In Proceedings of the 40th ACM Technical Symposium on Computer Science Education, SIGCSE ’09, pages 183–187, New York, NY, USA, 2009. ACM. ISBN 978-1-60558-183-5. doi: 10.1145/1508865.1508931. URL http://doi.acm.org/10.1145/1508865.1508931. [3] Mark Guzdial. Education: Paving the way for computational thinking. Commun. ACM, 51(8):25–27, August 2008. ISSN 0001-0782. doi: 10.1145/1378704.1378713. URL http://doi.acm.org/10.1145/1378704.1378713. [4] Celine Latulipe, N. Bruce Long, and Carlos E. Seminario. Structuring flipped classes with lightweight teams and gamification. In Proceedings of
international workshop teaching robotics, teaching with robotics & 5th international conference robotics in education Padova (Italy), volume 1, pages 1–6, 2014. [2] Carlotta A Berry. Robotics education online flipping a traditional mobile robotics classroom. In 2017 IEEE Frontiers in Education Conference (FIE), pages 1–6. IEEE, 2017. [3] J Berr´ıo Perez. A “flipped classroom” for mobile robotics teaching. In INTED2014 Proceedings, pages 3076–3085. IATED, 2014. [4] Jean Piaget, Margaret Cook, et al. The origins of intelligence in children, volume 8. International Universities Press New York, 1952. [5] Lev Semenovich Vygotsky and Michael Cole. Mind in society: Development of higher psychological processes. Harvard university press