, Hansen L. Psychological sense of community & Belonging in Engineering Education. 2008 38th Annu Front Educ Conf. 2008:21-24.27. Oyserman D, Destin M. Identity-Based motivation: Implications for intervention. Couns Psychol. 2010;38(7):1001-1043.28. Boone H, Kirn A. First Generation Students Identification with and Feelings of Belongingness in Engineering. In: 2016 ASEE Annual Conference & Exposition. New Orleans, LA; 2016:1-27.29. Smith JA, Flowers P, Larkin M. Interpretative Phenomenological Analysis: Theory, Method and Research. Los Angeles: SAGE; 2009.30. Walther J, Sochacka N, Kellam N. Quality in Interpretive Engineering Education Research: Reflections on an Example Study. J Eng Educ. 2013;102(4
berevised thereafter to reflect any changes incorporated in the new solicitation. Please read andreview the rules, regulations, and stipulations in the applicable solicitation for the date of yourproposal submission. Read it early and revisit it often for improved chances of success with yourgrant proposal development and submission. 1. What is the maximum amount of funding that can be requested in the “Small Grants for Institutions New to ATE” category? a. $2,000 b. $2,000,000 c. $200,000 d. $20,000 2. First-time applicants to NSF-ATE are encouraged to consider which type of ATE funding? a. Planning grant b. Small Grants for Institutions New to the ATE Program c. Regional
Asking participants to reflect on how the following factors may have impacted their work: § Team size and composition; § Leader structure (single leader vs. co-leader); § External circumstances.Category Description ExampleCourses Efforts to either design a new Re-organizing an introductory course or to substantially engineering course around a set of revise an existing offering real-life scenarios and the use of design thinkingCredentials Efforts to introduce a new A major, minor or certificate in program of study available to innovation
was discussed and adjusted. To compensate for a lack of an item describing“associational thinking” in the original Dyer scale, two additional statements were developed todescribe this construct.Finally, to convert the modified behavioral statements from an agree-disagree scale into a self-efficacy measure, the scale instructions were adjusted to reflect a self-efficacy intent (“Pleasethink about how confident you are in your ability to do these activities”). A comparison of theoriginal Dyer et al. IBS behavioral items and the restated ISE.5 self-efficacy items is shown inAppendix A.4.0 MethodsThe validity and reliability of the ISE.5 measure was confirmed through three studies. Study 1outlines the process of evolving the Dyer et al. scale
movement and stopping of two LEGO robot cars (local and express).The colored paper pieces help identify the locations where the robots stop temporarily.Throughout the two lessons, the following general assumptions are made: (i) the robots are well-designed and the programs are accurate; (ii) the students possess basic skills to operate the LEGOrobots, e.g., commanding the robots by pressing buttons; (iii) the students are able to use theactivity sheets and the selected activities truly reflect the lesson topics; (iv) the students areinterested to perform hands-on activities in teams; (v) the lesson topics and the activities align withthe CCSSM and the NGSS; etc.Statistics of the teachers and students who participated in the robotics-focused
Associate Vice Provost for Graduate Education.Dr. Helen L. Chen, Stanford University Helen L. Chen is a research scientist in the Designing Education Lab in the Department of Mechanical Engineering and the Director of ePortfolio Initiatives in the Office of the Registrar at Stanford Univer- sity. Chen earned her undergraduate degree from UCLA and her Ph.D. in Communication with a minor in Psychology from Stanford University. Her current research interests include: 1) engineering and en- trepreneurship education; 2) the pedagogy of ePortfolios and reflective practice in higher education; and 3) redesigning the traditional academic transcript. c American Society for Engineering Education, 2017
through, for example, iterative revision, peer response and reflection, to be continually ready to learn to learn how and to teach each otherRather quickly it became clear that to be able to realize these needs, we needed to create a newMAE communications curriculum and design a research program for assessment. This newcurriculum and the adjoining research program is known as the MAE/ECP EngineeringCommunications Initiative.There are three key components to the initiative: 1. Creating a pilot partner course, ENGRC 2250, Communication for Mechanical Engineering Design at the sophomore level to be taught in conjunction with MAE 2250, Mechanical Synthesis. 2. Coordinating and supporting through teaching partnerships communication
student to complete the deliverable.The second survey was distributed to current students weekly throughout their first semester oftheir first-year in 2016. Twenty students were selected at random from each engineering programeach week (N~120/week). Surveys were distributed at the end of the week in order for studentsto reflect and respond based on that particular week of study. The survey received a response rateof 26.87% with a completion rate of 77.88%. This survey focuses on the perceived operationaland conceptual difficulty of course content, the nature of that content, the perception of courseassignments, deadlines and expectations, and the overall instructional experience. Data at thepoint of analysis will be anonymized and used in
intellectual behavior withinthe student homework assignments (“knowledge,” “comprehension,” “application,” “analysis,” “syn-thesis,” or “evaluation”) (Anderson, Krathwohl, and Bloom 2001, Bloom et al. 1956). McCormick etal. 2014 utilized Sustainability Links to evaluate the linkages between the three pillars of sustain-ability, including “concepts” (societal, economic, environmental), “crosslinks” (societal-economic,environmental-economic, societal-environmental) and “interdependency” (societal-economic-environmental) (McCormick et al. 2014b). McCormick et al. 2014 did not include a “no evidence”response option; the authors added this option. Table 1 reflects these three approaches to assessDimensions of Sustainability, Bloom’s Taxonomy, and
-parametricstatistical analyses in this work, and their results were in general agreement. Another limitation to this work relates to the pre-constructed questions and responses built intothe focus group design. The space from which students could draw questions relevant to their designwas constrained in a manner that may not be reflective of what they might ask in a true industrial set-ting. This could be remedied by an open question format; however, this is difficult to regulate withinan epistemic game environment. It would be possible to further determine student valuation of thedesign metrics through qualitative analysis of the notebook logs students maintained during theseactivities. This work is currently underway and should serve as useful feedback
ofsignificant information.” Easton called his vision an “intellectual refinery,” a “fully automated,continuously operating” facility that would print publications, books and other materials asneeded. Out-of-date books and redundant information would be a thing of the past.Although Easton had not suggested that libraries would soon be obsolete, the ESLC’s 1964program reflected an understandable level of anxiety among engineering librarians. The firstsession was called “The Elimination of the Technical Library” and featured papers such as“Vitality of the Technical Library” by Sam Cabeen of the New York-based EngineeringSocieties Library and “Future of the Special Librarian: Bright or Bleak?” by Alan M. Rees of theCenter for Documentation and
. Additionally, it was found thatstudents did not want an easy course; they were aware of the challenges that lay ahead them asengineers. However, they did enjoy the excitement that the course added to their curriculum,while preparing them for their future career. The feedback reflected student’s interest in thecourse and reinforced the strong and positive elements of the course’s structure.Improving math skills, Providing community-based support system: Weatherton et al.30 tried toincrease retention by providing freshman students with academic support services in calculus andbasic mathematics. They studied the retention and performance of incoming freshmen that wereinvolved in one of four freshman interest groups (FIG), called FORCES (Focus on