Disengagement in Engineering Education?," Science Technology Human Values, vol. 39, no. 1, pp. 42-72, 2014.[2] E. A. Cech and H. M. Sherick, "Depoliticization and the Structure of Engineering Education," in International Perspectives on Engineering Education, S. H. Christensen, C. Didier, A. Jamison, M. Meganck, C. Mitcham and B. Newberry, Eds., 2015, pp. 203-216.[3] W. Faulkner, "Dualisms, hierarchies, and gender in engineering," Social Studies of Science, vol. 30, no. 5, pp. 759-792, 2000.[4] W. Faulkner, "'Nuts and Bolts and People': Gender-Troubled Engineering Identities," Social Studies of Science, vol. 37, no. 3, pp. 331-356, 2007.[5] N. P. Gaunkar, N. Fila and M. Mina, "Broadening Engineering Perspectives by Emphasizing
people interact with their environmentand how they can be enabled by the environment to undertake highly complex tasks thatwould usually be beyond the abilities of the unassisted individuals”32. Vygotsky firstexamined activity theory in the 1930’s. Later, Hutchins and many others have contributed Page 24.1222.5to research in distributed cognition32-38. Additionally, there have been studiesinvestigating why computers enhance student learning and results indicated that taskengagement increases at conceptual levels, student self-regulation increases, andexploration is encouraged35. There is also research to support that peers and socialinteractions are
). Digital Omnivores, Social Media and Social Capital: Expatriatesinteractions using Smartphones in Stockholm (Doctoral dissertation, Södertörn University).Li, D., & Segal, B. (2012). The Changing Landscape of The Canadian Mobile Audience.International Journal of Mobile Marketing, 7(1).Allen, I. E., & Seaman, J. (2008). Staying the course. Babson Survey Research Group: TheSloan Consortium.Balaji, M. S., & Chakrabarti, D. (2010). Student interactions in online discussion forum:Empirical research from ‘media richness theory’perspective. Journal of Interactive OnlineLearning, 9(1), 1-22.Beck, R. J. (2010). Teaching international law as a partially online course: The hybrid/blendedapproach to pedagogy. International Studies Perspectives, 11
presentations–thirteen plenary–at international and national forums, conferences and corporations. Since 1994, he has directed an extensive engineering mentoring-research academic success and professional development (ASAP) program that has served over 500 students. These efforts have been supported by NSF STEP, S-STEM, and CSEM grants as well as industry. Dr. Rodriguez’ research inter- ests include: control of nonlinear distributed parameter, and sampled-data systems; modeling, simulation, animation, and real-time control (MoSART) of Flexible Autonomous Machines operating in an uncertain Environment (FAME); design and control of micro-air vehicles (MAVs), control of bio-economic systems, renewable resources, and sustainable
engineering design problem. Toachieve the goal of assessing student thought processes of authentic engineering designproblems, students must be able to demonstrate the requirements of design including producing(1) narrative discussion/description, (2) graphical explanation, (3) analytical calculations, and (4)physical creation 3 . Although semantically varying, Wicklein s 3 assertion proffers that studentsshould be able to demonstrate their understanding of engineering design through the fouraforementioned models; conceptual, graphical, mathematical, and physical or working. It is ourhypothesis that in order to gain a better understanding of conceptual knowledge and studentcognitive abilities, behavior should be demonstrated through the creation of
Pressure Split Bar for material properties characterization under high speed deformation. During the undergraduate studies, Mr. Dyab worked as a team leader for AIRSPACES Project (Air-propelled Instrumented Robotic Sensory Platform(s) for Assateague Coastline Environmental Studies) at UMES from 2010 to 2012.Dr. Payam Matin, University of Maryland Eastern Shore Dr. Payam Matin is currently an Associate Professor in the Department of Engineering and Aviation Sciences at the University of Maryland Eastern Shore (UMES), Princess Anne, Maryland. Dr. Matin has received his Ph.D. in Mechanical Engineering from Oakland University, Rochester, Michigan in May 2005. He has taught a number of courses in the areas of mechanical
: http://www.abet.org [2] S. S. Moor and B. D. Drake, "Addressing Common Problems in Engineering Design Projects: A Project Management Approach," Journal of Engineering Education, vol. 90, pp. 389-‐395, 2001. [3] J. D. Bransford, A. L. Brown, and R. R. Cocking, How People Learn: Brain, Mind, Experience, and School. Washington, DC: National Academy Press, 2000. [4] J. L. Faust and D. R. Paulson, " Active Learning in the College Classroom," Journal on Excellence in College Teaching, vol. 9, pp. 3-‐24, 1998. [5] R. R. Hake, "Interactive Engagement vs. Traditional Methods: A Six
, VA:Association for Supervision and Curriculum Development.[3] Brown, A.L. (1992). Design experiments: Theoretical and methodological challenges in creating complexinterventions in classroom settings. Journal of the Learning Sciences, 2(2), 141-178.[4] Blumenfeld, P.C. et al. (1991). Motivating project-based learning: Sustaining the doing, supporting thelearning. Educational Psychologist, Vol. 26, pp.369-398.[5] Harel, I., & Papert, S. (1990). Software design as a learning environment. Interactive Learning Environments,1(1), 1–32.[6] Harel, I, & Papert, S. (1991). Constructionism. Norwood, NJ: Ablex Publishing.[7] Perkins, D. N. (1986). Knowledge as design. Hillsdale, N.J: Lawrence Erlbaum Associates.[8] Mishra, P., Koehler, M. “Technological
Estimator was designed as an assessment instrument. However, one of thequestions addressed in the present research is whether noticeable learning occurs betweenproblems. In other words, do students improve from one problem to the next? Since eachproblem presented in the 3D Estimator concerns the use of volume estimation, we hypothesizedthat students might be able to use the answer from previous problems as reference points. Asdescribed below, Learning Factor Analysis 4 was used to investigate this hypothesis.Floundering One of Anderson, et al.'s 14 definitions of floundering with interactive learning software isrepeating the same kind of mistake three times (p. 174). This definition proved useful foranalyzing the student results with the 3D
, while consulting a third expert in survey development helpspreserve face validity. Further validity was gained through factor analysis. We conclude that our Table 2: Pattern Matrix, Five Factors Table 3: S tructure Matrix, Five Factors Factor FactorItem 1 2 3 4 5 Construct Item 1 2 3 4 5 Construct1 .722 Interest 1
provide the average duration of their commute, and those wholive off-campus are asked whether they live with the individuals who raised them as children andwhether they have responsibilities to care for children themselves. This demographic informationTable 1: Dependent Variables Variable Construct and Source Survey Items (Adapted) Classroom “Perceived Classroom Please rate your agreement with the following statements, which Comfort Comfort” from Hoffman et relate to your comfort levels about having discussions, academic, al.’s “Sense of Belonging personal, or otherwise, with members of the Cal State LA Scale” [12] community
” identifiednot only from our interviews but also documentary analysis, which was implemented in theSchool of Future Technology (SFT) at BUAA (Fig. 1.). This channel refers to the projectthreads driven by joint mentor groups to synergize collaborative efforts with aim to facilitatehigh-quality research and teaching, as well as engage students in up-to-date research andprepare them for industry-working competencies to satisfy the long-term human capitalaccumulation motivation.As shown in Fig. 1., the “S” represents students’ supervisor, which refers to a mentor groupincluding a distinguished industry supervisor, an industry supervisor among the distinguishedsupervisor’s team, and one university supervisor whose research field is similar orcomplementary
innovations in project management practices. Aligning academic approaches with industry usage is crucial for bridging the gap and fostering a workforce ready to harness the potential of AI in project management. References[1] S. Makridakis, “The forthcoming Artificial Intelligence (AI) revolution: Its impact on society and firms,” Futures, vol. 90, pp. 46–60, Jun. 2017, doi: 10.1016/j.futures.2017.03.006.[2] T. Brown et al., “Language Models are Few-Shot Learners,” Adv. Neural Inf. Process. Syst., vol. 33, pp. 1877–1901, 2020.[3] N. Glaser, “Exploring the Potential of ChatGPT as an Educational Technology: An Emerging Technology Report,” Technol. Knowl. Learn., vol. 28, no. 4, pp. 1945–1952, Dec. 2023, doi: 10.1007/s10758-023-09684-4.[4] A
CSP framework. Secondly, a framework for the use of CSPin praxis and research within the SSA context is proposed drawing on Onwuegbuzie et al.’s(2012) methodology literature analysis. Findings present an adapted CSP framework for SSA,comprising 11 tenets for asset-based research. They highlight CSP’s adaptability across contexts,underscoring its importance in SSA STEM education.Keywords: culturally sustaining pedagogy, asset-based education, exemplary teaching,inclusion, transferability, Sub-Saharan AfricaBackgroundResearch shows that teaching practices that are more contextual and inclusive of students’cultural backgrounds and experiences enhance students' learning [1]. It is this awareness ofimproved learning outcomes that paved the way for
,” Int J Technol Des Educ, vol. 26, no. 3, pp. 413–437, 2016, doi: 10.1007/s10798-015-9318-z.[2] C. N. Gunawardena, N. V Flor, D. Gomez, and D. Sanchez, “Analyzing social construction of knowledge online by employing interaction analysis, learning analytics, and social network analysis,” Q Rev Distance Educ, no. 3, p. 35, 2016.[3] S. Hall, C. T. Amelink, and S. S. Conn, “A case study of a thermodynamics course: Informing online course design,” Journal of Online Engineering Education, vol. 1, no. 2, 2010.[4] B. K. Jesiek, L. K. Newswander, and M. Borrego, “Engineering education research: Discipline, community, or field?,” Journal of Engineering Education, vol. 98, no. 1, pp. 39–52, Jan. 2009, doi
milestone related to theproject, students were required to submit their progress reports by the respective due dates.3.3 Data Collection Instrument(s)Each student was asked to fill out a metacognitive assessment form adapted from [25], from whichdata was extracted. The form contained three photovoice reflection prompts and three open-endedquestions. The photovoice reflection prompts required students to use three pictures (e.g. photos)to provide a 200-word narrative (e.g. voice) explaining how their learning experience incorporatedan entrepreneurial mindset, bio inspired design and STEAM (arts) in the course. The following arethe three photovoice reflection prompts the participants were given to answer. A. Entrepreneurial Mindset: The
generated for each dyad using ENA [25]. Panel A of Figure 7 shows the ENA graph of the baseline strength of interconnectionsamong codes representative of students’ argumentation and negotiation in the classroom.Observations of epistemic relationships during argumentation and negotiation (red connections)show a weak CD-M correlation (r=0.16) and moderate CC-M correlation (r=0.49). This suggeststhat during argumentation and negotiation, students produced less gestures that were misalignedwith course-specific speech compared to gestures conceptually aligned with course-specificspeech. This differs from H1’s prediction that there would be a stronger correlation betweenstudents conceptually misaligned gestures and course-specific speech
readinessdevelopment in higher education. In E. Popescu, R. W. H. Lau, K. Pata, H. Leung, & M. Laanpere (Eds.), Advances in web-based learning – ICWL 2014 (Vol. 8613, pp. xxx-xxx). Lecture Notes in Computer Science. Cham: Springer. “Decent Work for All: From ILO Initiative to a Global Goal.” In R. Maclean & D. Wilson(Eds.), International handbook of education for the changing world of work. Dordrecht: Springer,2009. pp. 111–128. Florence, B., Jose, B. F., & Guy, S. (2003). A family of decent work indexes. InternationalLabor Review, 142(2), 213–238. Gati, I., & Tal, S. (2008). Decision-making models and career guidance. In J. A. Athanasou &R. Van Esbroeck (Eds.), International handbook of career guidance. Dordrecht: Springer
requirements and required minimum num-ber of credits W . Set requirement tree TCC = ∅ and transfer equivalency map A = ∅. Next, set the Pncredit hours of each course requirement equal to cr[c1 ] = w1 , . . . , cr[cn ] = wn , set wi = S. Let i=1xi = 1 denote that course i is excluded in the produced degree plan, and xi = 0 denote that coursei is included in the plan. Then, any solution to the OTP problem using these instances exists only n Pif set I = {i
others, the system would interact with humans, resulting in a larger complex systemserving various human and community needs. Eric named the larger system “a fulldevice/system”. He gave an example of a desk lamp with safety features. A desk or a, you know, a poseable lamp, you know, that you can move around or wear a safety device that pops out of the wall and, you know, helps cushion the impact or anything like that. Um the you know, the component, which is a piece of the system would be, you know, we typically look at one of those at a time and then we try to demonstrate them in more in the context of a full device or system.3. Context. Since most ME projects in this study are situated in specific context(s
transition from colleges of engineering to employment,” European Journal of Engineering Education, vol. 37, no. 1, pp. 3–14, Mar. 2012, doi: 10.1080/03043797.2011.644761.[4] T. R. Guskey, “Closing Achievement Gaps: Revisiting Benjamin S. Bloom’s ‘Learning for Mastery,’” http://dx.doi.org/10.4219/jaa-2007-704, vol. 19, no. 1, pp. 8–31, Nov. 2007, doi: 10.4219/JAA-2007-704.[5] M. Hansen, L. Cai, S. Monroe, and Z. Li, “Limited‐information goodness‐of‐fit testing of diagnostic classification item response models,” British Journal of Mathematical and Statistical Psychology, vol. 69, no. 3, pp. 225–252, Nov. 2016, doi: 10.1111/BMSP.12074.[6] M. Winget and A. M. Persky, “A Practical Review of Mastery Learning,” Am J Pharm Educ, vol. 86
–22, 1996.[3] J. Engle, “Postsecondary access and success for first-generation college students,” in American Academic, vol. 3, 1 vols., 2007, pp. 25–48.[4] D. C. York-Anderson and S. L. Bowman, “Assessing the college knowledge of first- generation and second-generation college students,” J. Coll. Stud. Dev., vol. 32, no. 2, pp. 116–122.[5] P. Terenzini et al., “The transition to college: Diverse students, diverse stories,” Res. High. Educ., vol. 30, pp. 301–315, 1994.[6] N. M. Stephens, S. A. Fryberg, H. R. Markus, C. S. Johnson, and R. Covarrubias, “Unseen disadvantage: How American universities’ focus on independence undermines the academic performance of first-generation college students,” J. Pers. Soc. Psychol., vol
theory model by usingTable 1: Summary of the studies selected to answer the RQs Works based on the conceptual framework of Perna’s model Implications for Author(s) / Year Purpose Population / Contexts Constructs / Methods practice or research Registrations information
, “Where is the engineering I applied for? A longitudinal study of students’ transition into higher education engineering, and their considerations of staying or leaving,” European Journal of Engineering Education, vol. 41, no. 2, pp. 154–171, Mar. 2016, doi: 10.1080/03043797.2015.1056094.[4] M. Meyer and S. Marx, “Engineering Dropouts: A Qualitative Examination of Why Undergraduates Leave Engineering,” Journal of Engineering Education, vol. 103, no. 4, pp. 525–548, 2014, doi: 10.1002/jee.20054.[5] B. Geisinger and D. R. Raman, “Why They Leave: Understanding Student Attrition from Engineering Majors,” International Journal of Engineering Education, vol. 29, no. 4, pp. 914–925, Jan. 2013.[6] National Academy of Engineering
, 2024].Online Health Articles[6] S. Bruce, "Ultra-Processed Foods: What Are They and How Do They Affect Your Health?," Verywell Health, 2023. [Online]. Available: https://www.verywellhealth.com/ultra-processed-foods-8621493. [Accessed: May 5, 2024].[19] J. Smith, "How Many Calories Should Be Consumed at Dinner?," Livestrong, 2024. [Online]. Available: https://www.livestrong.com/article/325270-how-many-calories- should-be-consumed-at-dinner/. [Accessed: Feb. 10, 2024].Educational Article[9] "Processed Foods," Harvard T.H. Chan School of Public Health, 2024. [Online]. Available: https://nutritionsource.hsph.harvard.edu/processed-foods/. [Accessed: Apr. 20, 2024].Government Health Website Article[3
connected inmy classroom was a big takeaway. Fostering connections for students- among each other, withfaculty, and with professionals in the field should be designed into our courses. The good news isthat this doesn’t demand a course re-design or any intense transformation- we can do it withminimal time but with intention and purpose- and it can make a big impact on our student’ssuccess.AcknowledgementsI would like to thank the TLDG (Teaching and Learning Development Grant) Program at SimonFraser University for providing funding for this work.References[1] S. L. Dika and M. M. D’Amico, “Early experiences and integration in the persistence of first‐generation college students in STEM and non‐STEM majors,” Journal of Research in Science
7 References 1. Roberts, F. L., Kandhal, P. S., Brown, E. R., Lee, D. Y., & Kennedy, T. W. (1991). Hot mix asphalt materials, mixture design and construction. 2. Van Poel, C. D. (1954). A general system describing the visco‐elastic properties of bitumens and its relation to routine test data. Journal of applied chemistry, 4(5), 221-236. 3. Bari, J. (2005). Development of a new revised version of the Witczak E* predictive models for hot mix asphalt mixtures. Arizona State University. 4. Witczak, M. W., Quintas, H. V., Kaloush, K., Pellinen, T., & Elbasyouny, M. (2000). Simple performance test: Test results and
supported the efficacy of theapproach in achieving the stated goals of improving student learning and better preparing them fora career in the construction industry.AcknowledgmentsThe author gratefully acknowledges the General Education and Writing Across the Curriculumteams at New York City College of Technology for the valuable lessons provided throughworkshops and mentoring sessions.Reference 1. Kim, S., S. Chang, D. Castro-Lacouture. 2019. “Dynamic Modeling for Analyzing Impacts of Skilled Labor Shortage on Construction Project Management.” Journal of Management in Engineering, Vol. 36, No. 1. 2. Levanon, G., B. Cheng, and M. Paterra. 2014. “The risk of future labor shortages in different occupations and industries in the
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