], Charles SturtUniversity (Australia) and Iron Range Engineering (Minnesota). Adapted from the Charles Sturtmodel is the co-op experience where students spent an initial on-campus period and would thencombine co-op work placements and online learning all the way to degree completion [9].Adapted from Iron Range are the curricular strategies that empower a graduate with a balancedset of technical, professional, and design capabilities [10]. In this new model, students completetheir lower-division pre-engineering requirements at a community college anywhere in the U.S.,then transfer into the model for a one-semester intensive on-ground experience, the engineeringdevelopment phase (EDP), where they acquire the self-directed learning and professional
, see Table 1. Table 1. Concerns raised during the 2017’s NSF CC* PIs meeting [3]. # Concerns by PIs, Co-PIs, and attendees of 2017 NSF CC* meeting 1 “Very difficult to find, or nonexistent - difficult to retain (CI engineers)” 2 “Largest challenge was in the area of time to hire... ended up taking 10 months… (difficult to find CI engineers with the right skills)” 3 “Candidates should have hands-on knowledge of networking, at least bachelor degree, and certifications in networking and security” 4 “Combination of education and experience” 5 “At least one tour of duty as an intern or apprentice” 6 “System & network engineering, user support experience, good communication
technical program committee (TPC) member of high quality international conferences in Digital Forensics and Security. c American Society for Engineering Education, 2020 Internet of Things Forensics in Smart Homes: Design, Implementation and Analysis of Smart Home Laboratory Shinelle Hutchinson, Yung Han Yoon, Neesha Shantaram, and Umit Karabiyik {hutchi50,yoon127,nshantar,umit}@purdue.edu Department of Computer and Information Technology Purdue UniversityAbstractThe Internet of Things (IoT) has skyrocketed to the forefront of everyone’s lives, whether theyknow it or not. IoT devices
83 4.70% International 188 10.65% Native Hawaiian or Other Pacific Islander 3 0.17% Two or more races 66 3.74% Unknown 46 2.60% White 1,159 65.63% Missing 62 3.51% URM Status No 1,581 89.52% Yes 123 6.96% Missing 62 3.51% First-Gen Status First-gen
the NationalScience Foundation.References[1] D. F. Lohman, “Spatial Ability and G.” 1993.[2] K. S. McGrew, “CHC theory and the human cognitive abilities project: Standing on the shoulders of the giants of psychometric intelligence research,” Intelligence, vol. 37, no. 1, pp. 1–10, Jan. 2009, doi: 10.1016/j.intell.2008.08.004.[3] H. B. Yilmaz, “On the Development and Measurement of Spatial Ability,” International Electronic Journal of Elementary Education, vol. 1, no. 2, pp. 83–96, Mar. 2009.[4] C. Julià and J. Ò. Antolì, “Enhancing Spatial Ability and Mechanical Reasoning through a STEM Course,” International Journal of Technology and Design Education, vol. 28, no. 4, pp. 957–983, Dec. 2018.[5] M. Stieff and D. Uttal, “How
with ethics discussion session. 2. What is your take-away message from ethics discussion session? 3. Which aspects of the ethics session need improvement, and why? 4. Please comment on the weekly professional development activities you attended during the past 10 weeks. Feel free to list the topics you liked and didn’t like. Suggestions for next year are most welcome.In general, we identified four major categories regarding students’ experiences; null curriculum,engagement with ambiguity, thinking, and the need for more interaction. Students noticed thatsome materials discussed in the session, while important, are omitted from formal education.One student in describing their experience said: “[The instructor
ofenvironmental engineers includes, “…[using] engineering disciplines in developing solutions toproblems of planetary health,” [1]. Sustainably feeding the human population is one of theproblems of planetary health, which environmental engineers are particularly well suited tocontribute solution [2]. Current agricultural production: 1. contributes to a loss of biodiversity from land use (i.e., sensitive habitat is cultivated); 2. transfers embedded/embodied/virtual water among watersheds (i.e., excessive groundwater pumping for irrigation in dry, warm regions to produce wintertime fruits and vegetables for consumption in wet, cold regions); 3. emits greenhouse gases (i.e., NOx emission from soil microbes during plant growth); 4
://sloanreview.mit.edu/sponsors-content/online-learning-what-todays-students-want-and-expect/[3] Kim Kyong-Lee, Curtis J. Bonk, “The future of online teaching and learning in highereducation,” Educause Quarterly, November 4, 2006, pp. 22-30[4] Heather J. Hoffman, Angelo F. Elmi, “Comparing Student Performance in a Graduate-LevelIntroductory Biostatistics Course Using an Online versus a Traditional in-Person LearningEnvironment,” Journal of Statistics and Data Science Education, Volume 29, 2021 - Issue 1.https://doi.org/10.1080/10691898.2020.1841592[5] K. Mathieson, “Comparing Outcomes between Online and In-person Statistics Courses: ASystematic Review,” in Proceedings of the Eighth International Conference on TeachingStatistics, 2010. http://iase-web.org
, limited work examines how student perceptions of engineeringchange during their first engineering internship. Engineering students enhance theirunderstanding of their profession as they progress through their academic journey. Althoughmuch of the coursework focuses on applying math and science to solve technical problems,many students tend to associate engineering with this limited perspective, overlooking its widersocial impacts. By fostering awareness of these wider impacts, we can enhance their educationalexperience and better prepare them for future roles in the field. Therefore, we believe thatunderstanding what engineering is and what engineers do can help us to design innovative andimpactful learning experiences. In this paper, we
abstracts. This resulted in 176publications, segmented into 2006-2010 (n=39), 2011-2015 (n=64), and 2016-2020 (n=73). TheComputers in Education Division and NSF Grantees Poster Session included the highest numberof papers (Table 1). To access the research data supporting this publication, seehttps://doi.org/10.25380/iastate.14428304. Table 1: Top 10 ASEE divisions with gaming focused papers from 2006-2020. Division Number of Papers Computers in Education 31 NSF Grantees Poster Session 20 Educational Research and Methods 12 K-12 and Pre-College Engineering 10
developed for mobile devices (Android and iOS tabletsand phones) and it communicates with the JLTV’s OBD via Bluetooth. The AR application willcontain a simplistic user interface that reads diagnostic data from the JLTV, shows vehiclesensors, and allows users to create virtual dashboards to display various information. It will alsocontain interactive presentation and visualization of JLTV external and internal parts and 3Danimations for diagnostic and maintenance. The AR application will consist of two modes:Standalone Mode and AR Mode. Standalone Mode does not require a real vehicle and itcontains interactive 3D visualizations and animations for diagnostic and maintenance. The ARMode requires the presence of a vehicle and projects instructions and
. (2017). Democratizing digital learning: Theorizing the fully online learning community model. International Journal of Educational Technology in Higher Education, 14(1), 1-16.[3] Boston, W. E., & Ice, P. (2011). Assessing retention in online learning: An administrative perspective. Online Journal of Distance Learning Administration, 14(2).[4] Cochran, G. L., Boveda, M., & Prescod-Weinstein, C. (2020). Intersectionality in STEM Education Research. In Handbook of Research on STEM Education (pp. 257-266). Routledge.[5] de la Torre, L., Heradio, R., Jara, C. A., Sanchez, J., Dormido, S., Torres, F., & Candelas, F. A. (2013). Providing collaborative support to virtual and remote laboratories. IEEE Transactions on
reflection, instruments are necessary tounderstand and monitor the impact of reflection implementation in courses. This study focusedon the use of the Reflection Knowledge Gains Instrument (RKGI) to capture students' self-reported knowledge gains due to reflection. The RKGI was administered in multiple engineeringundergraduate courses in which reflection was implemented over multiple semesters. Evidenceof the validity of the RKGI was sought. The evidence of internal structure validity indicatedacceptable fit of RKGI instrument while the internal consistency validity revealed a new four-factor model. Then two Biological and Agricultural Engineering courses use cases weredeveloped using students’ RKGI data and descriptive statistics. The use cases
boardwork.Students are asked to choose a prompt at random. They are allowed to peruse this prompt whilethe student prior to them presents. This is to mimic how our qualifying exams function; studentsare allowed time to read the problem and plan their response without use of the board. While thestudent is responding to the prompt at the board, senior graduate student facilitators ask questionsdesigned to mimic examiner interaction. Finally, students are given informal feedback on theirperformance from the senior graduate students as well as their peers. If time permits, more thanone round of prompts may be given. All weeks in which students were asked to respond toprompts or problems follow this format.Week 3: Incorporating Technical ContentThe third week
the success of this project.References 1. V. L. Baker and K. A. Griffin, “Beyond mentoring and advising: Toward understanding the role of faculty ‘developers’ in student success.,” About Campus: Enriching the Student Learning Experience, vol. 14, no. 6, pp. 2–8, 2010. 2. K. M. Thomas, L. A. Willis, and J. Davis, “Mentoring minority graduate students: Issues and strategies for institutions, faculty, and students,” Equal Opportunities International, vol. 26, no. 3, pp. 178–192, 2007. 3. L. F. Alcocer and A. Martinez, “Mentoring hispanic students: A literature review,” Journal of Hispanic Higher Education, vol. 17, no. 4, pp. 393–401, 2017. 4. I. Villanueva, L. Gelles, M. Di Stefano, B. Smith, R. Tull, S. Lord, L
-selection bias, in thatstudents who voluntarily took a class on “Engineering Ethics and the Public” may have placedgreater value on that subject matter than those in the control group who decided to take anotherclass enhancing technical skills. Alternatively, it may reflect success in achieving course objectives(Table 1) [8], [9]. Table 1: Ethics Course Objectives for Fall 2020 Semester Learning Objectives 1. Define unethical conduct in engineering and science 2. Discuss potential “costs” of misconduct and “benefits” of morally sound conduct 3. List personal, professional, or societal motives, other than profit, that can foster unethical behavior 4. Describe
growth.IntroductionBeyond the catastrophic effects on public health and the economy, the onset of the COVID-19pandemic in the US during late winter and early spring 2020 essentially shut down access toexperiential learning and internships for university students [1], [2], [3]. By mid-May 2020, alarge percentage of previously confirmed internships for summer 2020 were rescinded. ANational Association of Colleges and Employers survey in April 2020 found that employerswere revoking two-thirds of their summer internships, and many of those that remained movedinterns into virtual programs (46.2%) and reduced the length of internships (41%) [4].Companies could not have interns working on-site due to in-person activities being significantlyreduced or prohibited by public
” for teams [2] and in 2021 ABET proposed changes to Criterion 5 and 6, focusedon curriculum and faculty, that specifically highlight DEI [1]. While the commitment to JEDI inengineering curriculum is clear, the task of embedding this knowledge into engineering courses,many of which traditionally contain highly technical content, may seem overwhelming.To help engineering and computer science programs tackle this issue, an NSF funded five-year,multi-institutional project was run with the purpose of developing activities to embed intechnical curriculums that both promote inclusive engineering identities within undergraduatestudents and highlight the benefits of diversity in professional environments [3], [4], [5]. Theproject has led to dozens of
-of-things platform as teaching aids in the industrialinstrumentation course International Journal of Online Engineering, 14(12), 26 - 42.Ding, Q., & Cao, S. (2017). RECT: A Cloud-Based Learning Tool for Graduate SoftwareEngineering Practice Courses With Remote Tutor Support IEEE Access, 5, 2262 - 2271.Pearson, T. (2014). A low-cost full-featured extensible laboratory for online hardwareengineering International Journal of Online Engineering, 10(3), 24 - 30.Shyr, W.J., Su, T.J., & Lin, C.M. (2013). Development of remote monitoring and a controlsystem based on PLC and webaccess for learning mechatronics International Journal ofAdvanced Robotic Systems, 10.Nedic, Z. (2012). Demonstration of collaborative features of remote laboratory
on student problem solving,” International Journal of Engineering Education, vol. 33, no. 1, pp. 272–282, 2017.[8] J. Chen, A. Kolmos, and X. Du, “Forms of implementation and challenges of PBL in engineering education: a review of literature,” European Journal of Engineering Education, vol. 46, no. 1, pp. 90–115, 2021, doi: 10.1080/03043797.2020.1718615.[9] M. E. Beier, M. H. Kim, A. Saterbak, V. Leautaud, S. Bishnoi, and J. M. Gilberto, “The effect of authentic project-based learning on attitudes and career aspirations in STEM,” J Res Sci Teach, vol. 56, no. 1, pp. 3–23, Jan. 2019, doi: 10.1002/tea.21465.[10] S. Howe and J. Goldberg, “Engineering capstone design education: Current practices
relating to technical competence in engineeringcommunities [12]. From longitudinal studies of engineering communities, Wilson et al. [12]found that there were 3 main requirements forhaving a sense of belonging to such I feel a sense of belonging to...communities: social comfort, perceiving some 100%technical competence, and relating to faculty. 80%Interestingly, the perceived technical 60%competence reason for belonging is not shown 40%in the course learning communities. The 20%social safety in the communities is likely high 0%enough to overcome the lower technical A B C A B C A B Ccompetence; while within the
design.IntroductionThough the teaching of engineering science is and should be the dominant basis of modernengineering education, it is a reality that curriculum evolved during the 20th century tomarginalize the importance of engineering practice and key skills including design and teamwork.Resulting from a paradigm shift in the culture of American engineering colleges after World WarII and the dwindling ranks of faculty members with experience as engineers, this revolution inengineering curriculum sought to prioritize hard science fundamentals in a profession becomingrapidly more diverse. As an unintended consequence, newly minted engineers, while graduatingfrom college technically adept, began to lack many of the basic abilities needed in real-worldengineering
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
theconstruction industry and related fields, the authors of this study believe this study can easily bereplicated, and that additional data from other populations will help provide insight regarding thevalidity and reliability of this study’s findings. The authors at present are seeking outside fundingto continue this study, where they will be further developing the 3D modelling constructioncurriculum, and tracking the participants for longitudinal interest changes.ReferencesBigelow, B., Bilbo, D., Minna, M., Ritter, L., Elliott, J. (2015). Identifying the Most Effective Factors inAttracting Female Undergraduate Students to Construction Management. International Journal ofConstruction Education and Research, Vol. 11, 3, pages 179 - 195.Brown, Tara (2012
improvingthe software. We continuously work on improving the software to provide the students with thebest sketching learning experience.AcknowledgementsThis research was supported by National Science Foundation, ”Collaborative Research: FosteringEngineering Creativity and Communication through Immediate, Personalized Feedback on 2D-Perspective Drawing” : 2013612 (Texas A&M University), 2013504 (Georgia Tech), 2013575 (San Jose State University) and 2013554 (Purdue University). References [1] S. Sorby, “Educational research in developing 3-d spatial skills for engineering students,” International Journal of Science Education - INT J SCI EDUC, vol. 31, pp. 459–480, 02 2009. [2] K. Vanlehn, “The relative effectiveness of
at UC Davis offers additional classes related to food applications. One of the students mentioned that she also participated in a pilot class for The Design of Cocktails (an upper division chemical engineering course at UC Davis), and she enjoyed the fact that chemical engineering concepts were so broadly applicable.3. Hands-on Activities and Design Project Another aspect of the course that influenced students’ decisions to switch majors was the laboratory component and the final design project. One student mentioned the social aspect of the class since she had to work with senior students. Another student stated the appeal of the coffee laboratory sessions was the illustration of the engineering thought process and
interests and attitudes. International Journal of Education in Mathematics, Science and Technology, 6(3), 221-240.[9] Neathery, M. F. (1997). Elementary and secondary students' perceptions toward science and the correlation with gender, ethnicity, ability, grade, and science achievement. Electronic Journal of Science Education, 2(1).[10] U.S. Department of Education, Institute of Education Sciences, National Center for Education Statistics, National Assessment of Educational Progress (NAEP), 2014 and 2018 Technology and Engineering Literacy (TEL) Assessments.[11] Lucas, B. & Hanson, J. (2016). “Thinking Like an Engineer: Using Engineering Habits of Mind and Signature Pedagogies to Redesign Engineering Education
) engagement with readings, (3)technical infrastructure, (4) together time, (5) transfer opportunities, (6) reflection opportunities,and (7) grading. These seven dimensions were then shared with the second author for skepticalpeer review.In the second phase, three dimensions (hereafter called first-level dimensions) were chosen foradditional analysis: (1) choosing readings, (2) engagement with readings, and (6) reflectionopportunities. The data was then explored in order to interrogate each of the ten instances inrelation to these three dimensions. This process was iterative. First, notes were assembleddescribing each instance for each first-level dimension. Then, these notes were compared usingthe same constant comparison logic as before to identify
entrepreneurship research, vol. 1999, no. 1, pp. 73–87, 1999.[15] A. Naktiyok, C. Nur Karabey, and A. Caglar Gulluce, “Entrepreneurial self-efficacy and entrepreneurial intention: the Turkish case,” International entrepreneurship and management journal, vol. 6, pp. 419–435, 2010.[16] F. Wilson, J. Kickul, and D. Marlino, “Gender, entrepreneurial self–efficacy, and entrepreneurial career intentions: Implications for entrepreneurship education,” Entrepreneurship theory and practice, vol. 31, no. 3, pp. 387–406, 2007.[17] J. Kickul, F. Wilson, D. Marlino, and S. D. Barbosa, “Are misalignments of perceptions and self‐efficacy causing gender gaps in entrepreneurial intentions among our nation’s teens?,” Journal of Small Business and
, "Implementation and analysis of a Chemical Engineering Fundamentals Concept inventory (CEFCI)," Education for Chemical Engineers, vol. 7, no. 1, pp. e32-e40, 2012.[15] K. M. Bursic, "An engineering economy concept inventory," The Engineering Economist, vol. 65, no. 3, pp. 179-194, 2020.[16] J. Tait, L. Alexander, E. Hancock, and J. Bisset, "Interventions to support the mental health and wellbeing of engineering students: A scoping review," European journal of engineering education, vol. 49, no. 1, pp. 45-69, 2024.[17] A. P. Barrasso and K. E. Spilios, "A scoping review of literature assessing the impact of the learning assistant model," International Journal of STEM Education, vol. 8, no. 1, pp. 1-18, 2021.[18] M. T