Conference Session

Exploring the Entrepreneurial and Innovation Mindset

Collection

2017 ASEE Annual Conference & Exposition

Authors

Mark Schar, Stanford University; Shannon Katherine Gilmartin, Stanford University; Angela Harris, Stanford University; Beth Rieken, Stanford University; Sheri Sheppard, Stanford University

Tagged Divisions

Entrepreneurship & Engineering Innovation

Paper ID #18064Innovation Self-Efficacy: A Very Brief Measure for Engineering StudentsDr. Mark Schar, Stanford University The focus of Mark’s research can broadly be described as ”pivot thinking,” the cognitive aptitudes and abilities that encourage innovation, and the tension between design engineering and business management cognitive styles. To encourage these thinking patterns in young engineers, Mark has developed a Scenario Based Learning curriculum that attempts to blend core engineering concepts with selected business ideas. Mark is also researches empathy and mindfulness and its impact on gender participation in

Conference Session

Entrepreneurship & Engineering Innovation Division Poster Session

Collection

2017 ASEE Annual Conference & Exposition

Authors

Carolin Christin Dungs, Stanford University; Sheri Sheppard, Stanford University; Helen L. Chen, Stanford University

Tagged Divisions

Entrepreneurship & Engineering Innovation

data on the ISE.6measure, as well as statistical outliers in ISE.6, where outliers were extreme cases that werevery different from the other responses. Those cases were identified, i.e., the mean and weredetected using the SPSS boxplot function, and excluded in order to avoid any bias in thestatistical analyses,4.2 Innovation Self-EfficacyThe innovation self-efficacy measure consists of six items that correspond to Dyer’s fivediscovery skills, important for innovative behavior: Associating, Questioning, Observing,Experimenting and Networking (Dyer et al., 2011a). The items are shown in Table 1.Table 1: Mapping of Self-Efficacy Items in the Engineering Majors Survey to Dyer’sDiscovery Skills(A) How confident are you in your B

Conference Session

Teams, Teaching, Leadership, and Technical Communications in Mechanical Engineering

Collection

2017 ASEE Annual Conference & Exposition

Authors

Traci M. Nathans-Kelly, Cornell University; Rick Evans, Cornell University

Tagged Divisions

Mechanical Engineering

strengths, we choose to use a survey instrument to collect quantitative data andinterviews primarily to collect qualitative data7.Our focal research question became more detailed as we progressed. Now, our frame is this:How well can we facilitate in MAE undergraduate engineering students the development ofcommunicative self-efficacy (CSE) through ENGRC 2250 and then foster its continuingdevelopment through select junior and senior level courses in the MAE curriculum in a way thattransfers to and enables technical and professional communicative practice? CSE became theway that we choose to operationalize and test improvement in students’ ability to communicate.Simply put, using self-efficacy as a measuring stick for success is a well-established

Conference Session

Thermodynamics, Fluids and Heat Transfer II

Collection

2017 ASEE Annual Conference & Exposition

Authors

Karim Altaii, James Madison University; Colin J. Reagle, George Mason University; Mary K. Handley, James Madison University

Tagged Divisions

Mechanical Engineering

and exam scores betweenthe flipped and traditional classroom. Lape et. al. (2014) also performed a controlled, objectiveanalysis of an undergraduate chemical and thermal processes course and found no difference onassessments between flipped and traditional classrooms. Mason et. al. (2013) compared atraditional and flipped control systems engineering course for content coverage, studentperformance, and student perceptions. They found similar or higher levels of studentperformance and perception in the flipped classroom. With these results suggesting that there isno harm done in flipping the course, what are the benefits of flipping a course?One of the possible benefits is self-efficacy. Bandura (1997) defines perceived self-efficacy as

Conference Session

NSF Grantees Poster Session

Collection

2017 ASEE Annual Conference & Exposition

Authors

Megan Tomko, Georgia Institute of Technology; Robert L. Nagel, James Madison University; Melissa Wood Aleman, James Madison University; Wendy C Newstetter, Georgia Institute of Technology; Julie S Linsey, Georgia Institute of Technology

Tagged Topics

NSF Grantees Poster Session

makerspaces blend new manufacturingtechnologies like 3-d printing and laser cuttings with more traditional woodworking andmachine shop tools. Little data exist, however, about what the impact of universitymakerspaces is on the students who choose to participate in those spaces. In order to betterunderstand this impact of university makerspaces, our research team is conducting a multi-university longitudinal study.To measure the impact of making environments, this study looks at different metrics such asGPA, design self-efficacy, retention, and idea generation ability and how these metrics areaffected by different levels of involvement in university makerspaces. Preliminary results (twoof four years are completed) from the longitudinal studies raised

Conference Session

NSF Grantees Poster Session

Collection

2017 ASEE Annual Conference & Exposition

Authors

Marian S. Kennedy, Clemson University; Heather L Cox, Clemson University - Department of Materials Science and Engineering; Shelby K Lanier, Clemson University

Tagged Topics

NSF Grantees Poster Session

programsurvey was used to probe participant ‘s abilities/confidence in research. Their results indicateddirect relationships between research skills and research self-efficacy. These researchers alsofound that research skills and self-efficacy were good predictors of career aspirations.8 However,the measures used to assess research self-efficacy were not ideal. For example, items such as “Ihave the ability to have a successful career as a researcher,” and “I have a strong interest inpursuing a career as a researcher” are reflective of the student’s career goals, but may not reflecttheir beliefs in their current research capabilities. This concern about the quality of self-efficacyitems for assessing the gains in REU programs was highlighted earlier by

Conference Session

Labs and Experiments

Collection

2017 ASEE Annual Conference & Exposition

Authors

Janie Brennan, Washington University in St. Louis; Shawn E Nordell, Washington University in St. Louis ; Erin D Solomon, Washington University in St. Louis

Tagged Divisions

Chemical Engineering

linked directly to student careerchoice.14-15 Mamaril et al. recently validated an instrument to measure students’ self-efficacy inrelation to engineering.16 The instrument is broken down into sub-scales to assess students’beliefs about their general capabilities and specific types of skillsets important to engineering(e.g., experimental skills, design skills). Each subscale is assessed with four or five Likert-stylestatements about which students rate their certainty.In this study, a unit operations laboratory course at a mid-sized private university was redesignedto incorporate project-based learning so as to encourage development of the skills and self-efficacy described above, as well as increase student learning and engagement. In addition

Conference Session

NSF Grantees Poster Session

Collection

2017 ASEE Annual Conference & Exposition

Authors

Elizabeth Gross, Kettering University; Diane L Peters, Kettering University; Shanna R. Daly, University of Michigan; Stacy Lynn Mann, Kettering University

Tagged Topics

NSF Grantees Poster Session

Camp Wilson, T. Telling more than we can know: Verbal reports on mental processes. Psychological Review 84(3)., 231-259, 1977.19. Eraut, M. Informal learning in the workplace. Studies in Continuing Education 26(2), 247- 273, 2004.20. Lave, J., & Wenger, E. Situated learning: Legitimate peripheral participation. Cambridge, England: Cambridge University Press, 1991.21. Knowles, M. The adult learner: A neglected species (3rd Ed). Houston, TX: Gulf Publishing, 1984.22. Bandura, A. Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review 84, 191-215, 1977.23. Carberry, A., Lee, H., & Ohland, M. Measuring engineering design self-efficacy. Journal of Engineering Education 99(1), 71-79, 2010.24

Conference Session

Experiences of Diverse Students

Collection

2017 ASEE Annual Conference & Exposition

Authors

Mark Schar, Stanford University; Shannon Katherine Gilmartin, Stanford University; Beth Rieken, Stanford University; Samantha Ruth Brunhaver, Arizona State University; Helen L. Chen, Stanford University; Sheri Sheppard, Stanford University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

understand the conditions that mayencourage engineering students to be more entrepreneurial and innovative. Among Epicenter’s severalresearch projects is an ongoing longitudinal survey study of the development of engineering students’career goals around innovation and engineering, referred to as the Engineering Majors Survey (EMS -2016). The EMS study follows a nationally representative sample of engineering students from theirundergraduate experiences through graduation and into the workplace (Gilmartin et al. 2017). Withinthis survey are measures of engineering task self-efficacy and innovation self-efficacy, as well as 39background learning experiences and extra-curricular activities spanning high school throughundergraduate education, which form

Conference Session

Educational Research and Methods Division Poster Session

Collection

2017 ASEE Annual Conference & Exposition

Authors

S. Zahra Atiq, Purdue University, West Lafayette

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

students have been conducted in the context of team discourse and studentachievement5, engineering design projects6, and developing validated self-efficacy instruments forengineers7. Moreover, there is evidence in literature on measuring self-efficacy of engineeringstudents in the context of programming8-9. Askar et al., examines factors related to self-efficacyfor Java programming in first year engineering students. These factors include gender, computerexperience, general computing skills, frequency of computer use, and family computer usage.Findings from this study confirm the link between students’ self-efficacy beliefs and their choiceof subject. It was also found that computer engineering students had higher self-efficacy beliefscompared to

Conference Session

Entrepreneurship and Innovation: The Student Experience

Collection

2017 ASEE Annual Conference & Exposition

Authors

Sophia Lerner Pink, Stanford University; Beth Rieken, Stanford University; Tua A. Björklund; Sheri Sheppard, Stanford University

Tagged Divisions

Entrepreneurship & Engineering Innovation

minority status, and school size. We conducted t-tests to compare the average scoresbetween different groups.To compare respondents with high and low question-asking self-efficacy and outcomeexpectations, we divided the respondents into two groups as described below: students with lowand high QSE, SOE, and COE.For all categories (QSE, SOE, and COE), the “low” group contained those who markedthemselves as 3 or below on a scale from 1-5, and the “high” group included those who marked 5on a scale of 1-5. We chose these markers to try and capture the top and bottom groups (ideallyquartiles) as consistently as possible for each measure. See Table 4 for the number of students ineach category.Table 4: Categorizing students with low and high QSE, SOE, and

Conference Session

Design Tools and Skill Development

Collection

2017 ASEE Annual Conference & Exposition

Authors

William H. Guilford, University of Virginia

Tagged Divisions

Design in Engineering Education

found that course evaluations were improved, thatstudents better connect learning to skills, and that students appreciated the opportunity to developa uniform skill set by the end of the semester. This is in contrast to a project-based class whereskills development was not uniform between or within teams, and students did not connectlearning to skills development. We further assessed this pedagogical approach by measuring thepsychological construct engineering design self-efficacy at the beginning and end of thesemester, since there are prior reports of gains in the confidence of students in their fabricationskills as a result of immersive design-build projects [10], [11]. We found that students’ belief intheir abilities improved significantly

Conference Session

Women in Engineering Division Technical Session 7

Collection

2017 ASEE Annual Conference & Exposition

Authors

Christina S. Morton, University of Michigan ; Selyna Beverly, University of Michigan

Tagged Topics

Diversity

Tagged Divisions

Women in Engineering

, Science, & Arts and M-Engin which supports the engineering studentsin the College of Engineering. In this study we limit our focus to the experiences of engineeringstudents in the M-Engin program. Specific elements of the M-Engin program include: a summertransition program in which students gain exposure to the engineering curriculum, academiccoaching, study skill building, as well as career and professional development. Our studyexplores the relationship between students’ perceptions of the M-Engin program’s benefits andtheir engineering major confidence (a measure of self-efficacy) after their first year in college.We hypothesize that perceived program benefits of the M-Engin program will be positivelyrelated to women’s engineering major

Conference Session

Pre-College: Perceptions and Attitudes on the Pathway to Engineering (1)

Collection

2017 ASEE Annual Conference & Exposition

Authors

Tony McClary, New Mexico State University, College of Engineering; Patricia A. Sullivan, New Mexico State University; Steven J. Stochaj, New Mexico State University; Luis Antonio Vazquez Ph.D., New Mexico State University; Karen Trujillo, New Mexico State University ; John Kulpa, New Mexico State University; Germain Degardin, New Mexico State University

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education Division

program for high school students— NM PREP Academy—had a measurable effecton student confidence (a subcomponent of self-efficacy) and content knowledge. We also aimedto gain a greater understanding of how similar short-term intervention programs could be used toincrease interest, participation, and persistence in STEM-related careers, as well as to understandwhich specific portions of the program were most closely related to the students’ gains in eitherknowledge or confidence. Our research questions were as follows:1. Did the confidence and/or content knowledge of the students change as a result of engagement in the pre-engineering program?2. Was there a relation between changes in student confidence and knowledge?3. Was there a relation

Conference Session

Pre-College: Perceptions and Attitudes on the Pathway to Engineering (2)

Collection

2017 ASEE Annual Conference & Exposition

Authors

J. Jill Rogers, University of Arizona; Amy Annette Rogers; James C. Baygents, University of Arizona

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education Division

learning program to college choice. The remaining two questions are open-ended and allow students to describe their favorite ENGR 102 HS design and build project andcomments about their teacher. Many of the Likert scale questions for the online survey wereobtained from the on-campus course evaluations handed out to undergraduates in the ENGR 102course and deal with the quality of instruction and content. Additional questions, those dealingwith self-efficacy, were selected from the Longitudinal Assessment of Engineering Self-Efficacy(LAESE) instrument measuring student self-efficacy [36]. The LAESE instrument is a validatedinstrument that was developed with NSF funding as part of the Assessing Women in Engineering(AWE) project and can be found at

Conference Session

Minorities in Engineering Division Technical Session 7

Collection

2017 ASEE Annual Conference & Exposition

Authors

Javon Marcell Adams, North Carolina State University; James Samuel Carter III, University of North Carolina, Chapel Hill

Tagged Topics

Diversity

Tagged Divisions

Minorities in Engineering

participate in the program from the same cohorts. The study investigatesthe relationship between self-efficacy, pre-college academic preparedness measures and theeffect of these factors on early college success outcomes (e.g., term GPA) for URM students whoparticipated in STP as well as URM students who did not participate.LITERATURE REVIEWSelf-efficacy is defined as confidence in one’s ability to perform specific tasks or courses ofaction necessary to attain a specific goal or function in a specific capacity. (Bandura, 1997).When measuring self-efficacy respondents are asked to rate their level of confidence forattaining a specific goal. A student’s self-efficacy has an influence on the decisions that he/shemakes regarding their demonstrated efforts

Conference Session

The Philosophy of Engineering and Technological Literacy

Collection

2017 ASEE Annual Conference & Exposition

Authors

Katherine Goodman, University of Colorado, Denver; Jean Hertzberg, University of Colorado, Boulder

Tagged Topics

Diversity

Tagged Divisions

Technological and Engineering Literacy/Philosophy of Engineering

to understand andembrace, but once we did, we knew there was no going back” 30. This acknowledgement ofstudents’ emotional experiences changes the direction for reform efforts from the narrow scopeof pedagogy and curricular support to a broader conversation that includes student engagementand the development of a supportive community. Efforts to understand student self-efficacy haveincluded studies of identity, or whether students think of themselves as engineers 31,32, anddefining what is meant by “continuing motivation,” other than simply staying in a degreeprogram 33.Some efforts should concentrate, then, on creating supportive environments within engineeringto help retain students, while others focus on developing courses and projects

Conference Session

ETD Capstone Projects

Collection

2017 ASEE Annual Conference & Exposition

Authors

Kimberly Grau Talley P.E., Texas State University; Farhad Ameri, Texas State University

Tagged Topics

Diversity

Tagged Divisions

Engineering Technology

space, the teams were able to use them efficiently and createand test multiple prototypes in a short period of time and make the necessary adjustment to theirdesign such that it better meets the identified requirements. As shown in Figure 3, theperformance of the final prototypes for both teams was tested using press test method and it wasobserved that both designs increase the weight-bearing limit of the patient as much as 12-15pounds. Figure  2:  Prototyping  in  the  maker  space Figure  3:  The  final  prototype  was  tested  using  press  test  methodSurvey InstrumentThe Engineering Design Self-Efficacy tool (Carberry et al, 2010) was used to measure anychanges in the students

Conference Session

The Best of First-Year Programs Division

Collection

2017 ASEE Annual Conference & Exposition

Authors

Jan DeWaters, Clarkson University; John C. Moosbrugger, Clarkson University; Pankaj Sharma, Clarkson University

Tagged Topics

Diversity

Tagged Divisions

First-Year Programs

online at http://caeeaps.stanford.edu/phpESP/admin/manage.php.[20] LAESE (Longitudinal Assessment of Engineering Self-Efficacy) survey versions 3.0 (copyright 2006) and 3.1 (copyright 2007), which are products of AWE (Assessing Women and Men in Engineering), available online at www.aweonline.org.[21] DeVellis, R. F. (1991). Scale Development: Theory and Applications. Newbury Park, California: Sage Publications.[22] Armstrong, J.B., and Impara, J.C. (1991). The impact of an environmental education program on knowledge and attitude. Journal of Environmental Education, 22(4):36-40.[23] Barrow, L. H., and Morrisey, J. T. (1987). Ninth-grade students' attitudes toward energy: A comparison between Maine and New Brunswick. Journal of

Conference Session

NSF Grantees Poster Session

Collection

2017 ASEE Annual Conference & Exposition

Authors

Kristi J. Shryock, Texas A&M University; Jeffrey E. Froyd, Texas A&M University

Tagged Topics

NSF Grantees Poster Session

in the project: identification and self-efficacy. Further,it presents results responses from approximately 2,000 first-year engineering students at a largepublic institution. The paper addresses two questions: 1) How do engineering students respond totwo scales related to identity frameworks; and 2) What has been learned by giving these twoscales to first-year engineering students.IntroductionThe importance of increasing the number and diversity of B.S. graduates with degrees in science,technology, engineering, and mathematics (STEM) has been highlighted in several nationalreports1,2 . Increasing retention of students, including retention of students traditionallyunderrepresented in engineering is one approach to addressing this challenge

Conference Session

Pre-college Engineering Education Division Poster Session

Collection

2017 ASEE Annual Conference & Exposition

Authors

Alison K. Polasik, The Ohio State University; Alexandria Julius, The Ohio State University

Tagged Divisions

Pre-College Engineering Education Division

Moderate or Considerable 0.50 Communicative Interactions - SEC Moderate or Considerable 0.00 0.00 1.00 2.00 3.00 4.00 Journal Average Coded ScoreFigure 3: Comparison of SEC scores and Journal scores. SEC scores are calculated both as average (circle data points) andthe number moderate or considerable (X data points). The measurements are compared for procedural knowledge (blue) andcommunicative interactions (orange)In the 2016 – 2017 school year, the same tools are being used to measure teachers’ use of hands-onactivities and self-efficacy. In addition, focus

Conference Session

Pre-College: Organizing Instruction Around a Theme

Collection

2017 ASEE Annual Conference & Exposition

Authors

Kristin Kelly Frady, Clemson University; Ikenna Q. Ezealah, Clemson University; Christopher Ciuca, SAE International; Meghan M. Stoyanoff, SAE International

Tagged Divisions

Pre-College Engineering Education Division

quantified attitude and motivationintegrating frameworks of self-efficacy theories with outcome expectancy theories. Self-efficacyis social cognitive approach with roots in self-determination theory and describes a person’sperception or beliefs about their capabilities to produce effects (Bandura, 1986). This is closelytied with outcome expectancy which is a person’s expectations about the consequences of anaction (or outcome of a task). The combination of these frameworks, in the context of STEMeducation, have been shown to influence motivation and persistence in an academic track(Unfried, Faber, Stanhope, & Wiebe, 2015). However; in order to situate student attitudes,interests, and experiences within a larger career context, the social

Conference Session

Entrepreneurship & Engineering Innovation Division Poster Session

Collection

2017 ASEE Annual Conference & Exposition

Authors

Gunther Rameseder, Stanford University; Sheri Sheppard, Stanford University; Maximilian Reithmann MR, Celonis; Eric Reynolds Brubaker, Stanford University

Tagged Topics

Diversity

Tagged Divisions

Entrepreneurship & Engineering Innovation

gap, we explore a sample of 5,819 undergraduate engineering students froma survey administered in 2015 to a nationally representative set of twenty-seven U.S. engineering schools. Weidentify how individual background measures, occupational learning experiences, and socio-cognitive measuressuch as self-efficacy beliefs, outcome expectations, and interest in innovation and entrepreneurship affect students’entrepreneurial career focus. Based on career focus, the sample is split into “Starters” and “Joiners” where Startersare students who wish to start a new venture and Joiners are those who wish to join an existing venture. Resultsshow the demographic, behavioral, and socio-cognitive characteristics of each group. Findings suggest that

Conference Session

Motivation

Collection

2017 ASEE Annual Conference & Exposition

Authors

Andrew Jackson, Purdue Polytechnic Institute; Nathan Mentzer, Purdue University, West Lafayette (College of Engineering); Jiawei Zhang, Purdue University, West Lafayette (College of Engineering); Rebecca Kramer, Purdue University, West Lafayette (College of Engineering)

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

. Educational environments whichleverage these interests may be better able to attract and retain female students 9.Figure 1. Percentage of degrees awarded to women in engineering disciplines. Adapted from Yoder, B.L. (2014). Engineering bythe numbers. Retrieved from American Society for Engineering Education's College Profiles website:https://www.asee.org/papers-and-publications/publications/14_11-47.pdf.Tinkering Self-EfficacySelf-efficacy is an individual’s self-perceived ability to accomplish a goal or task 12. Self-efficacy is a domain specific measure—for example being confident in my ability to jump acertain distance says nothing of my confidence for gardening—with predictive relationships torelevant outcomes like motivation, effort, and

Conference Session

First-Year Programs: Sunday 5-Minute Work-in-Progress Postcard Session

Collection

2017 ASEE Annual Conference & Exposition

Authors

Philip Reid Brown, Rutgers, The State University of New Jersey

Tagged Divisions

First-Year Programs

on programming activities, facilitated by both graduate and undergraduate teachingassistants. Students would then have to complete homework assignments based on recitation modules.Motivation and Self-Efficacy OutcomesDesired ResultsThe development of this course was also informed by motivation and self-efficacy theory, and high-levelcourse outcomes were set to increase both student motivation in the course and their self-efficacy as aprogrammer. Motivation was measured using the five constructs of the MUSIC Model of AcademicMotivation[9]: Empowerment, Usefulness, Success, Interest, and Caring. These constructs are defined inTable 2. Table 2: The MUSIC Model MUSIC Letter Name

Conference Session

Innovation and Reflection

Collection

2017 ASEE Annual Conference & Exposition

Authors

Beth Rieken, Stanford University; Mark Schar, Stanford University; Shauna Shapiro, Santa Clara University; Shannon Katherine Gilmartin, Stanford University; Sheri Sheppard, Stanford University

Tagged Topics

Diversity

Tagged Divisions

Liberal Education/Engineering & Society

-item “embracing” subscale of the CEI-II, measuring “a willingness toembrace the novel, uncertain, and unpredictable nature of everyday life” (p. 955). Respondentsindicate how they “generally feel and behave” on each item on a five-point Likert-type scalefrom 1=“Very slightly or not at all” to 5=“Extremely”. The variable “mindful attitude” is createdby averaging the four CEI-II items for each respondent. The mindful attitude items are only onthe EMS 2.0 survey.3.1.3 Measuring Innovation Self-Efficacy (ISE) and Engineering Task Self-Efficacy (ETSE)We measure both Innovation Self-Efficacy (ISE) and Engineering Task Self-Efficacy (ETSE) inthe EMS. All self-efficacy items were measured on a 5-point Likert-type scale from 0=“Notconfident” to 4

Conference Session

Emerging Computing and Information Technologies II

Collection

2017 ASEE Annual Conference & Exposition

Authors

Sushma Sanga, Bosch Inc; Ali Eydgahi, Eastern Michigan University

Tagged Divisions

Computing & Information Technology

-theft anxiety level in college students. This study performed several analyses ona developed questionnaire to ensure validity and reliability. After examining all proposedhypotheses, it was found that electronic devices self-efficacy and electronic devices usage havesignificant impact on identity-theft anxiety level of the students. The data also support arelationship between information security awareness of the students and their identity-theftanxiety level. This research also showed that gender, employment status, race, and age havemoderating effects on all hypotheses. The outcome of this study indicated that moreinformation should be provided to students regarding how to take proactive measures inusing their electronic devices in order to

Conference Session

Pre-college Engineering Education Division Poster Session

Collection

2017 ASEE Annual Conference & Exposition

Authors

Emily Cayton, North Carolina State University; M. Gail Jones, North Carolina State University

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education Division

Tuijl and van der Molen(2015) maintained that male and female STEM role models are particularly important forchildren. Holmes, Gore, Smith, and Lloyd (2017) studied children ages 8-18 and found anincrease in STEM interest for students who have a parent working in a STEM occupation. Theysuggest that those without a parent working in a STEM field are left with teachers and schoolguidance counselors to promote STEM careers in order to foster an interest.Grounded in Bandura’s (1977) social cognitive theory, social cognitive career theory (SCCT)focuses on three primary mechanisms that drive career decisions: self-efficacy, outcomeexpectations, and goals (Lent, Brown and Hackett, 1994). Self-efficacy is defined as perceivedcapability to perform a

Conference Session

Pre-College: Robotics

Collection

2017 ASEE Annual Conference & Exposition

Authors

S. M. Mizanoor Rahman, New York University; Veena Jayasree Krishnan, New York University, Tandon School of Engineering; Vikram Kapila, New York University, Tandon School of Engineering

Tagged Divisions

Pre-College Engineering Education Division

their relativeimportance. We investigate different strategies and awareness levels of TPACK in differentschools. We develop an assessment method to assess the self-efficacy of the teachers to teachrobotics-focused STEM lessons under TPACK. We analyze the reasons behind the deficits in theself-efficacy scores. We explore whether the TPACK self-efficacy of the teachers is influenced bySTEM subjects. We provide recommendations to improve TPACK self-efficacy of teachers fortheir robotics-focused STEM teaching in middle schools.We posit that this paper, which i) examines the teachers’ understanding of TPACK construct andtheir TPACK self-efficacy, ii) documents and analyzes the results of such an investigation, and iii)provides the details of

Conference Session

Predicting Student Success

Collection

2017 ASEE Annual Conference & Exposition

Authors

Anthony Bourne, Wright State University; Craig Baudendistel, Wright State University; Zulima Guilarte Rhodes, Wright State University; Jannet Chermi Anders

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

) The relationship between mathematics self-efficacy and achievement in mathematics. Procedia Social and Behavioral Sciences, 1, 953-957.Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84(2), 191-215.Barker, F.J. (2010). The effects of an engineering-mathematics course on freshmen students’ mathematics self-efficacy. (unpublished master’s thesis). Washington State University, Pullman, WA.Bourne, A.L., Ciarallo, F.W., Klingbeil, N.W. (2015) Measuring the impact of a mathematics intervention on student mathematics self-efficacy: Development and application of revised measurement tool. Proceedings 122nd ASEE Annual Conference and Exposition, Seattle WA, June 2015.Bourne, A.L