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Conference Session
ASEE TUESDAY PLENARY FEATURING BEST PAPERS & INDUSTRY DAY SPEAKER Sponsored by University of South Florida & University of Maryland
Collection
2019 ASEE Annual Conference & Exposition
Authors
Abisola Coretta Kusimo, Stanford University ; Marissa Elena Thompson, Stanford University ; Sara A. Atwood, Elizabethtown College; Sheri Sheppard, Stanford University
Tagged Topics
ASEE Board of Directors, Corporate Member Council
industry experiences includes engineering positions at Detroit’s ”Big Three:” Ford Motor Company, General Motors Corporation, and Chrysler Corporation. At Stanford she has served a chair of the faculty senate, and recently served as Associate Vice Provost for Graduate Education. c American Society for Engineering Education, 2018 Effects of Research and Internship Experiences on Engineering Task Self- Efficacy on Engineering Students Through an Intersectional LensAbstractHigh-impact academic experiences, particularly research and internship experiences, havepositive impacts for engineering students on engineering task self-efficacy (ETSE), a measure ofstudents’ perception of their ability to perform
Conference Session
Undergraduate Peer Educators: Mentoring, Observing, Learning
Collection
2018 ASEE Annual Conference & Exposition
Authors
YunJeong Chang, University of Virginia; Rider W. Foley, University of Virginia
Tagged Topics
ASEE Board of Directors
Tagged Divisions
Liberal Education/Engineering & Society
. vol. 11, pp. 815–829, 2011.[4] D. R. E. Cotton, R. George and M. Joyner, “Interaction and influence in culturally mixedgroups,”. Innovations in Education and Teaching International., vol. 50, 272-283, 2013.[5] A. W. Astin, Assessment for Excellence: The Philosophy and Practice of Assessment andEvaluation in Higher Education, Washington, DC: American Council on Education/Oryx PressSeries on Higher Education, 1991.[6] E. L. Deci and R. M. Ryan, Intrinsic motivation and self-determination theory in humanbehavior. New York, NY: Plenum Press, 1985.[7] J.M. Keller, “Development and use of the ARCS model of motivational design,” J.Instructional Dev. vol. 10, 2-10, 1987.[8] A. Bandura, Self-efficacy. New York, NY: John Wiley & Sons, Inc., 1977.[9
Conference Session
NEW THIS YEAR! - ASEE Main Plenary II: Best Paper Recognition & Industry Day Session: Corporate Member Council Speaker
Collection
2012 ASEE Annual Conference & Exposition
Authors
Stephen R. Turns, Pennsylvania State University, University Park
Tagged Topics
ASEE Board of Directors, Corporate Members Council
these strategies also draws the attention of bothstudents and teachers to the importance of learning how to learn and solve problems. Studentswho attend to these processes are more likely to detect progress toward their learning goals andhave higher self-efficacy relative to their peers who attend to the quality of final products.39 Taken together, these instructional methods can be employed to help students acquiredeclarative, procedural, and conditional knowledge. In the remainder of this section, we shareideas on how this can be achieved in an introductory thermodynamics course. For our purposes,we define an introductory course to cover the content shown in Table 3. Table 3. Topics Covered in a Typical Introductory
Conference Session
NEW THIS YEAR! - ASEE Main Plenary II: Best Paper Recognition & Industry Day Session: Corporate Member Council Speaker
Collection
2012 ASEE Annual Conference & Exposition
Authors
Betsy Palmer, Montana State University
Tagged Topics
ASEE Board of Directors, Corporate Members Council
underlying sets of items inorder to reduce the number of items necessary to adequately measure those constructs and toassess each factor‟s meaning. [18, 19] Principal axis factoring and direct oblimin oblique rotationwith Kaiser normalization were used to identify factors. Principle axis factoring was chosen inorder to establish the existence of the underlying theoretical constructs [18-20]. Oblimin obliquerotation was selected in the knowledge that any resulting factors may be correlated. [18]Examination of the factor correlation matrix to assess the level of correlation among the factorsand the justification for their independent existence [21] indicated no serious problems.Scales included only items with rotated factor loadings greater than .40