Economics Research 7, no. 5, pp. 144-150, 2018.[8] G. F. Sassenrath, P. Heilman, E. Luschei, G. L. Bennett, G. Fitzgerald, P. Klesius, W. Tracy, J. R. Williford and P. V. Zimba, "Technology, complexity, and change in agricultural production systems," Renewable Agriculture and Food Systems, pp. 285- 295, 2008.[9] S. L. Wang, R. A. Hoppe, T. Hertz and S. Xu, "USDA-ERS #302: Farm labor, human capital, and agricultural productivity in the United States," 2022.[10] G. L. Baldwin, V. Booth Womack, S. E. LaRose, C. S. Stwalley and R. M. Stwalley III, "Using broad spectrum technological projects to introduce diverse student populations to Biological & Agricultural Engineering (BAE): a work in progress," in
., vol. 17, no. 4, pp. 369–386, Oct. 2005, doi: 10.1080/09540250500145072.[3] N. A. Fouad et al., “Barriers and Supports for Continuing in Mathematics and Science: Gender and Educational Level Differences,” J. Vocat. Behav., vol. 77, no. 3, pp. 361–373, Dec. 2010, doi: 10.1016/j.jvb.2010.06.004.[4] A. Tzovara et al., “Embracing diversity and inclusivity in an academic setting: Insights 19 from the Organization for Human Brain Mapping,” NeuroImage, vol. 229, p. 117742, Apr. 2021, doi: 10.1016/j.neuroimage.2021.117742.[5] J. Misra, J. H. Lundquist, E. Holmes, and S. Agiomavritis, “The Ivory Ceiling of Service Work,” Academe, vol. 97
discussion ofwhat it takes to make sense of nanoscale phenomena. This discussion could lead touncovering what Wiggins and McTighe 2 called the “enduring understanding” of acontent area together with potential effective pedagogical approaches. This model couldultimately lead to integrating the enduring understandings needed to make sense ofnanoscale phenomena with effective pedagogical methods. We hope that this modelmight become a framework for the design of nanoscale science and engineering curricula.AcknowledgmentsWe thank the seven researchers who volunteered their precious time to be interviewed forthis study. References: 1 M. C. Roco, W. S. Bainbridge, Journal of Nanoparticle Research 2005, 7, 1--13.2 G. Wiggins, J. McTighe
summative assessment scheme, in which some of the work could be subject tointerpretation of the ethical theory when applied to case studies, rather than assessment ofempirical facts and procedures which may be constrained to a teacher‟s implicit development,interpretation and assessment of the syllabus content.The assessment procedure was redesigned in 2008 for classes of 150 plus, comprising aformative assessment and feedback through essays, a formative feedback by the in-class case-studies and summative assessment by examining the major case studies and theirunderstanding of the course material in a final examination.IntroductionTo receive accreditation of undergraduate engineering degrees the Institute of ProfessionalEngineers of New Zealand
transition to becoming a professional in the disci-pline. The overlap in the ovals labeled knowledge-centered and reflection-centered corresponds tothe fact that the reflective activities by the student are based on the assessments of the knowledgeitems represented by the knowledge-centered components.Consider next the oval labeled “learner-centered” in Fig. 1. A key observation regarding studentlearning 2,36 made in recent research on how people learn is that “[s]tudents come to the classroomwith preconceptions –often incorrect– about how the world works, which include beliefs and priorknowledge acquired through various experiences . . . effective teaching [must] elicit the preexist-ing understanding and provide opportunities to build on, or
consists of applications and templates that will assist instructors and students to accomplishthe required tasks. The model is composed of four major elements: inputs, outputs, constraints,tools and methods.3. Model InputsThe inputs to the model include instructors, students, other human resources, facilities andequipment, and learning objectives. The class instructor(s) and the students are alsoconsidered owners of the process.One of the roles of instructors is to facilitate the students’ achievement as defined in the learningobjectives. The roles of the students include 1) to prepare for the class, 2) to participate in classactivities, 3) to perform a self-evaluation of their educational state, and 4) to provide feedback.Students have to provide
, including the signatures of allteam participants, are required as cover material for all group project submissions. Page 4.121.3 Task Task 1 Task 2 Task n Signature Person 1 C, D S S Person 2 S C S, D Person m S S, D C Roles: C–Coordinated this task; S–Supported this task; D–Documented this task Figure 1. Example of team roles matrix.Some courses (e.g., at Georgia Tech, University of Massachusetts
interest in STEM and non-STEM subjects. However,having a population of technologically literate K-5(8) teachers and teacher candidates alsooffers many unique research opportunities. [The definition of “technologically literate” herelikely entails being literate to some degree in the S, M and T&E.] Leaving the teachingeffectiveness benefits aside, a population of technologically literate K-5 teachers, and Page 15.1194.2presumably their K-5(8) students, should enable technological literacy instruments to bebetter designed and calibrated. This has broad implications. Measurements of technologicalliteracy in MST and non-MST teacher populations could
engineering university. The A&S Program provides the core courses in the first two years of engineering studies at this institute. Over the past two years, it has been designing and implementing a comprehensive set of curricular innovations in order to better prepare local engineering undergraduates for engineering studies and careers in the energy sector. Three components of this comprehensive approach will be presented in this paper, with reference to how each was conceived, designed, and implemented. Early indications of the impacts are also shared. The paper will conclude with identifications of challenges faced and recommendations for how to better enable and support continuing enhancement of the
Design Engineering at Hongik University in Korea. He received his Ph. D.and M. S. in Mechanical Engineering from Stanford University (USA), and B. S. in Mechanical Engineering from Seoul National University (Korea). His specialization is in the areas of noise and vibration. He has been involved with the capstone design program at Hongik University for the last five years.Dr. Ing. Manuel L¨ower, RWTH Aachen University Dr.-Ing. Manuel L¨ower is Executive Manager of the Chair and Institute for Engineering Design (ikt) at RWTH Aachen University. He received his Dr.-Ing. and Dipl.-Ing. degree in the field of Product Lifecycle Management (PLM) and automotive engineering at RWTH Aachen University (Germany). Since 2005 he
while providing feedbackThirty two out of sixty two responses stated that students turn in their source code print-out forthe graders to read and assess. Almost an equal number of responses mention the use of anelectronic submission system. About 65% of graders write their comments on a paper printoutand primarily use plain text with occasional arrows, circles and lines to point out source codeissues. One person stated that s/he provides “hand written” comments, typing them would bepreferred but it is not done “simply as a time factor issue.” From those that provide commentselectronically, one “include[s] a link to a Web document that contains the instructor's solution atthe relevant line in the instructor's solution source code.” Comments are
, are intended to pass affectively attunedcommunication on to students – the same kinds of messages that occur in normal person-to-person discourse. We will test whether ALASKA will provide a significantly higher“interactional bandwidth” or density of affect-rich messages than can take place in aconventional classroom. The teacher station will include a “response palette” that includes arepertoire of facially- and voice- nuanced responses s/he has available for agent inheritance orpass-through transmission to the student. In the ALASKA shared-workspace environment, theteacher can overview the thumbnails of everyone in the class simultaneously, collecting enoughinformation to judge fairly accurately what group of students was starting on track
, respectively[5].The traditional and probably most common method of introducing aspects of green engineeringhas been through a senior and graduate level elective course on environmental engineering, withan emphasis on process treatment. Courses were developed that focus on methods to minimizeor prevent waste streams from existing chemical plants in the 1990’s. The educationalprogression mirrors the progression in industry. In industry initial efforts were applied to wastetreatment whereas current efforts are aimed at reducing the total volume of effluent treated aswell as the nature of the chemicals treated. Currently, many of the environmental and pollutionprevention courses have been replaced by courses in green engineering, environmentallyconscious
15 16 17 Spring Classes First Day of Class A Begin Project Selection Project Team s Identified N 20 21 22 23 24 Client Visits Client Visits
conclusions orrecommendations expressed in this material are those of the author(s) and do not necessarilyreflect the views of the Foundation. REFERENCES[1] J. R. Anderson, L. M. Reder and H. A. Simon, “Situated learning and education,” Educational Researcher, vol.25, no.4, pp.5–11, May 1996.[2] J. Corbet, A. Rubini, G. Kroah-Hartman, Linux Device Drivers, 3rd Edition. O’Reilly Media, Inc., Sebastopol, CA, 2005.[3] F. Jiang and S. Mao, “Integration of Software-Defined Radios into undergraduate communications system courses for minority students,” in Proc. The 2014 ASEE Southeastern Section Annual Conference, Macon, GA, Mar./Apr. 2014.[4] R. W. Heath, Jr., Digital Wireless
, dissemination, and institutionalization of a college level initiative Springer; 2008.4. Prince M. Does active learning work? A review of the research. Journal of Engineering Education. 2004;93(3):223-231.5. Seymour E, Hewitt NM. Talking about leaving: Why undergraduates leave the sciences. Boulder, CO: Westview Press; 1997.6. Tobias S. They’re not dumb, they’re different: Stalking the second tier. Tucson, AZ: Research Corporation; 1990. Page 24.1120.107. Smith K, Sheppard S, Johnson D, Johnson R. Pedagogies of engagement: Classroom-based practices. Journal of Engineering Education. 2005;94(1):87-101.8
Conference. San Antonio, TX. June 10-13, 2012.2. Hein, G., A. Kemppainen, S. Amato-Henderson, J. Keith, and M. Roberts. “Who Creates and Develops First- Year Engineering Design Activities?” Proceedings of the 2012 ASEE Conference. Louisville, KY. June 20-23, 2010.3. Kemppainen, A., N. Jeason, and G. Hein. “Modifying a Pumping System in a First-Year Engineering Design Project” Proceedings of the 2010 ASEE EDGD 65th Mid-year Conference. Houghton, MI. October 3-6, 2010.4. “Engineering Pathway” http://www.engineeringpathway.com/engpath/ep/Home. Accessed December 18, 2012.5. “MERLOT: Multimedia Educational Resource for Learning and Online Teaching” http://www.merlot.org/merlot/index.htm. Accessed December 18, 2012.6
tool answered the same setof questions regarding that particular tool. The language used in the questions is informal to tryto convey the experience of the student or faculty rather than a formal engineering evaluation ofthe tool. The questions are the following: Make and Model What were your original debugging requirements? What big piece of lab equipment it substitutes? How did you find about it? How have been using it? (look above in introduction) Price? Is it worth it? Would you recommend it to other students? Would you recommend it as a substitute/complement for (a) particular lab piece(s) of equipment? Cool things about it? Any other features not available at university's available
-domain tasks in theprocess of solving-problem, indicating in step 8 “Take pride in your solution,” and step 9“Prevent future occurrences of this problem.” Page 23.1261.14References 1. Axton, T. R., Doverspike, D., Park, S. R., & Barrett, G. V. (1997). A model of the information-processing and cognitive ability requirements for mechanical troubleshooting. Int. J. Cogn. Ergon. 1(3): 245–266. 2. Brown, J. S., Burton, R. R., Bell, A. G. (1975). SOPHIE: A step toward creating a reactive learning environment. International Journal of Man-Machine Studies 7(5): 675–696. 3. Career Guidance and Students Welfare
Our research paper examines the role of climate (e.g., interactions with others) in the skilldevelopment of engineering and physical science doctoral students. Skill development ingraduate school often occurs related to students’ primary funding mechanism, in which theymight interact with a research group or teaching team. Advisors also play a pivotal role in theengineering doctoral student experience; however, less is known about how positive mentoringinfluences skill development for engineering doctoral students. We investigated the followingresearch questions: 1) How, if at all, do interactions with advisor(s), faculty, and peers predict skill development (associated with primary funding mechanism) for engineering and physical
their perspectives on the project.“I feel like it’s valuable because it really gets you to work with those who you think you’d neverwork with. Although, working with an education student has shown me ways that an engineerlike myself would have never done. I think working with such different people is good because itshows how these two different professions can work together even though they know little tonothing about each other’s majors.”Acknowledgment This material is based upon work supported by the National Science Foundation underGrants #1821658 and #1908743. Any opinions, findings, and conclusions, or recommendationsexpressed in this material are those of the author(s) and do not necessarily reflect the views ofthe National Science
Psicología/Annals of Psychology, vol. 31, no. 1, pp. 268-279, 2015.[11] L. Hsu, “Work motivation, job burnout, and employment aspiration in hospitality and tourism students—An exploration using the self-determination theory,” J. Hosp. Leis. Sport Tour. Educ., vol. 13, pp. 180–189, 2013.[12] W. Bao, “The Measurement and Determinants of Student Satisfaction in Higher Education Institution,” Res. Educ. Dev., vol. 34, no. 3, pp. 22–29+55, 2014.[13] Z. Abdullah, S. A. Alsagoff, M. F. Ramlan, and M. S. Sabran, “Measuring student performance, student satisfaction and its impact on graduate employability,” Int. J. Acad. Res. Bus. Soc. Sci., vol. 4, no. 4, pp. 108–124, 2014.[14] W. Bao, “The Measurement and Determinants of Student
[Contract No. SA-22036.001].References[1] The White House, “FACT SHEET: CHIPS and Science Act Will Lower Costs, Create Jobs, Strengthen Supply Chains, and Counter China,” The White House. Accessed: Jan. 24, 2024. [Online]. Available: https://www.whitehouse.gov/briefing-room/statements- releases/2022/08/09/fact-sheet-chips-and-science-act-will-lower-costs-create-jobs- strengthen-supply-chains-and-counter-china/[2] P. S. Smith, “Obstacles to and progress toward the vision of the NGSS,” Horizon Res. Inc., Mar. 2020. Accessed: Mar. 1, 2024. [Online]. Available: https://horizon- research.com/NSSME/wp-content/uploads/2020/04/NGSS-Obstacles-and-Progress.pdf[3] R. Powers and W. Blubaugh, “Technology in
Fuselage Cabin sizing (W/S)TO length, and diameter from Current (W/S)TO payload require requirements
(EDUCON), May 2023, pp. 1–9. doi: 10.1109/EDUCON54358.2023.10125121.[3] S. Z. Salas-Pilco, Y. Yang, and Z. Zhang, “Student engagement in online learning in Latin American higher education during the COVID-19 pandemic: A systematic review,” Br J Educ Technol, vol. 53, no. 3, pp. 593–619, May 2022, doi: 10.1111/bjet.13190.[4] T. K. F. Chiu, “Applying the self-determination theory (SDT) to explain student engagement in online learning during the COVID-19 pandemic,” Journal of Research on Technology in Education, Accessed: Jan. 14, 2024. [Online]. Available: https://www.tandfonline.com/doi/abs/10.1080/15391523.2021.1891998[5] G. Mude and S. Undale, “Social Media Usage: A Comparison Between Generation Y
performed thatallow students to investigate radial 2-dimensional diffusion from a point source. Thisarrangement, with careful planning of the stationary and mobile phases, could enable students tostudy more complex diffusional dynamics with direct applications to drug delivery. Thisarrangement, coupled with a heating source and various materials such as aluminum, steel, brass,and Pyrex strips coated in thermochromic dyes, should allow the students to create time-lapseheating and cooling curves.AcknowledgementsSpecial thanks to Fall 2023 BEN 361 students for the use of their pictures and data.Bibliography [1] Q. X. Ryan, B. R. Wilcox, and S. J. Pollock, ‘Student difficulties with boundary conditions in the context of electromagnetic
they had and some points they wanted to focus on. They were mostly satisfiedwith ChatGPT’s generated outlines, though they both decided to finetune them on their own.ChatGPT as a Tool for Equitable Access Based on the aforementioned case studies, I believe that I successfully presentedevidence of ChatGPT being leveraged by students to gain more equitable access to courses. Allof these case studies contained evidence of instructors observing how students used ChatGPT toimprove their individual learning and course experiences. Although this is true mostly forinternational students, I also gathered evidence of domestic students using ChatGPT to gainstronger access to course materials and succeed in classes. I draw upon Lalueza et al.’s [42
Grant Nos.2024301 and 2130924. Any opinions, findings, and conclusions or recommendations expressedin these materials are those of the author(s) and do not necessarily reflect the views of theNational Science Foundation.References[1] D. MacMillan and M. Laris, “After midair failure, critics ask: Did Boeing learn from Max crashes?,” Washington Post, Jan. 12, 2024. Accessed: Feb. 07, 2024. [Online]. Available: https://www.washingtonpost.com/business/2024/01/12/boeing-max-safety-crashes/[2] N. Kallioinen et al., “Moral Judgements on the Actions of Self-Driving Cars and Human Drivers in Dilemma Situations From Different Perspectives,” Front. Psychol., vol. 10, p. 2415, Nov. 2019, doi: 10.3389/fpsyg.2019.02415.[3] W. T. Lynch and R
202Figure 3. The Turing Machine of Figure 2 after the HALT state and its incoming transition are destroyed.If the input is: aba, then the machine will start in the START state and reach state 4 after goingthrough the loop of state 3. However, the input is not accepted.You are asked to complete the following three tasks: 1) In the first step, destroy the HALT state(s) and their incoming transitions of your machine of the assigned problem (of PART_1) and examine the consequences. 2) In the second step, destroy the START state and the associated transitions of your machine (in addition to the destructions mentioned in step 1) and examine the consequences. 3) In the third step, reconstruct the machine so that it is distinct
groups.This shows that by attempting to solve problems via means- Textbook problem: A student stands at the edge of the cliffends analysis the goal-specific groups suffered from cognitive and throws a stone horizontally over the edge with a speedoverload that manifested itself by the increase of mathematical 16.0 m/s. The cliff is 54.0 m above a flat, horizontal beach. (a)errors made. What are the components of the initial velocity? (b) How long It has to be noted that research on more complex problems after being released does the stone strike the beach below thesuch as created by Electric Field Hockey software provided cliff? (c) With what speed and angle of