Mastery, models, messengers, and mixed emotions: Examining the development of engineering self‐efficacy by gender

Engineering self‐efficacy, or the belief in one's own capabilities to complete engineering tasks, has been shown to predict greater motivation, academic performance, and retention of engineering students. Investigating the types of experiences that influence engineering students' self‐efficacy can reveal ways to support students in their undergraduate engineering programs.

[1]  S. Brookhart,et al.  A Century of Grading Research: Meaning and Value in the Most Common Educational Measure , 2022 .

[2]  G. Goldsmith,et al.  Instructor Strategies to Alleviate Stress and Anxiety among College and University STEM Students , 2021, CBE life sciences education.

[3]  Patrick N. Beymer,et al.  Momentary emotion profiles in high school science and their relations to control, value, achievement, and science career intentions. , 2020 .

[4]  D. Schunk,et al.  Motivation and social cognitive theory , 2020 .

[5]  J. Summers,et al.  Social Persuasions in Math and their Prediction of STEM Courses Self-Efficacy in Middle School , 2021, The Journal of Experimental Education.

[6]  M. Murphy,et al.  Feeling Like an Imposter: The Effect of Perceived Classroom Competition on the Daily Psychological Experiences of First-Generation College Students , 2019, Social Psychological and Personality Science.

[7]  Andrea Forte,et al.  Reliability and Inter-rater Reliability in Qualitative Research , 2019, Proc. ACM Hum. Comput. Interact..

[8]  Judd B. Kessler,et al.  The Gender Gap in Self-Promotion , 2019 .

[9]  Caihong R. Li,et al.  Sources of math and science self-efficacy in rural Appalachia: A convergent mixed methods study , 2019, Contemporary Educational Psychology.

[10]  D. Joel,et al.  The Future of Sex and Gender in Psychology: Five Challenges to the Gender Binary , 2019, The American psychologist.

[11]  Matthew J Miller,et al.  Sources of self-efficacy and outcome expectations in science, technology, engineering, and mathematics domains: A meta-analysis , 2018, Journal of Vocational Behavior.

[12]  Jane Webb-Williams.  Science Self-Efficacy in the Primary Classroom: Using Mixed Methods to Investigate Sources of Self-Efficacy , 2018 .

[13]  Michael Pelch.  Gendered differences in academic emotions and their implications for student success in STEM , 2018, International Journal of STEM Education.

[14]  S. Sheppard,et al.  Effects of Research and Internship Experiences on Engineering Task Self-Efficacy on Engineering Students Through an Intersectional Lens , 2018 .

[15]  S. Rosenfield,et al.  Systemizing and the gender gap: examining academic achievement and perseverance in STEM , 2018, European Journal of Psychology of Education.

[16]  Eva Susanne Fritzsche,et al.  Study motivation and academic emotions in engineering students: A case study in german higher education , 2018, 2018 IEEE Global Engineering Education Conference (EDUCON).

[17]  Derrick J. Satterfield,et al.  The Intersection of Gender and Race: Exploring Chemical Engineering Students’ Attitudes , 2018 .

[18]  Nir Aish,et al.  People Like Me: Providing relatable and realistic role models for underrepresented minorities in STEM to increase their motivation and likelihood of success , 2018, 2018 IEEE Integrated STEM Education Conference (ISEC).

[19]  Patrick N. Beymer,et al.  Examining Relationships among Choice, Affect, and Engagement in Summer STEM Programs , 2018, Journal of youth and adolescence.

[20]  Matthew J. Miller,et al.  Predictors of Science, Technology, Engineering, and Mathematics Choice Options: A Meta-Analytic Path Analysis of the Social–Cognitive Choice Model by Gender and Race/Ethnicity , 2018, Journal of counseling psychology.

[21]  William T. Hoyt,et al.  Unique Effects and Moderators of Effects of Sources on Self-Efficacy: A Model-Based Meta-Analysis , 2017, Journal of counseling psychology.

[22]  Deborah E. White,et al.  Thematic Analysis , 2017 .

[23]  Sarah E. Thoman,et al.  STEM success expectancies and achievement among women in STEM majors , 2017 .

[24]  Helen L. Chen,et al.  Extracurricular College Activities Fostering Students' Innovation Self-efficacy , 2017 .

[25]  Adam V. Maltese,et al.  “Failure Is a Major Component of Learning Anything”: The Role of Failure in the Development of STEM Professionals , 2017 .

[26]  Geoff Potvin,et al.  Pushing and Pulling Sara: A Case Study of the Contrasting Influences of High School and University Experiences on Engineering Agency, Identity, and Participation. , 2017 .

[27]  Kathryn L. Boucher,et al.  Why so few? The role of social iden tity and situ ational cues in under stand ing the under rep res ent a tion of women in STEM fields , 2017 .

[28]  Andrew J. Martin,et al.  Competence self-perceptions , 2017 .

[29]  C. Schuster,et al.  Not Feeling Good in STEM: Effects of Stereotype Activation and Anticipated Affect on Women’s Career Aspirations , 2017 .

[30]  M. Bong,et al.  Social models in the cognitive appraisal of self-efficacy information , 2017 .

[31]  James H. McMillan,et al.  A Century of Grading Research , 2016 .

[32]  J. Posselt,et al.  Competition, Anxiety, and Depression in the College Classroom: Variations by Student Identity and Field of Study , 2016 .

[33]  Matthew J. Miller,et al.  Social cognitive predictors of academic persistence and performance in engineering: Applicability across gender and race/ethnicity , 2016 .

[34]  Marian S. Kennedy,et al.  Measuring Undergraduate Students' Engineering Self‐Efficacy: A Validation Study , 2016 .

[35]  Guan-Yu Lin.  Self-Efficacy Beliefs and Their Sources in Undergraduate Computing Disciplines , 2016 .

[36]  Geoff Potvin,et al.  Identity, Critical Agency, and Engineering: An Affective Model for Predicting Engineering as a Career Choice , 2016 .

[37]  Miguel A. Pando,et al.  Engineering self-efficacy, interactions with faculty, and other forms of capital for underrepresented engineering students , 2015, 2015 IEEE Frontiers in Education Conference (FIE).

[38]  Ellen L. Usher,et al.  Salient sources of early adolescents' self-efficacy in two domains , 2015 .

[39]  Marilyn Barger,et al.  Do K-12 Robotics Activities Lead to Engineering and Technology Career Choices? , 2015 .

[40]  Marian S. Kennedy,et al.  Sources of Self-Efficacy in Undergraduate Engineering , 2015 .

[41]  S. Krause,et al.  Tinkering and Technical Self-Efficacy of Engineering Students at the Community College , 2015 .

[42]  L. Lessard,et al.  Effects of Gender and Type of Praise on Task Performance Among Undergraduates , 2015 .

[43]  Jerry Hamann,et al.  The Gendered Effect of Cooperative Education, Contextual Support, and Self‐Efficacy on Undergraduate Retention , 2014 .

[44]  Geoff Potvin,et al.  Do Engineers Beget Engineers? Exploring Connections Between the Engineering-related Career Choices of Students and Their Families , 2014 .

[45]  M. Kim,et al.  College Major Choice in STEM: Revisiting Confidence and Demographic Factors , 2014 .

[46]  Geertjan Overbeek,et al.  On feeding those hungry for praise: person praise backfires in children with low self-esteem. , 2014, Journal of experimental psychology. General.

[47]  Julie P. Martin,et al.  Mily roles in engineering undergraduates’ academic and career choices: does parental educational attainment matter? , 2014 .

[48]  Lisa Y. Flores,et al.  PREDICTORS OF ENGINEERING-RELATED SELF-EFFICACY AND OUTCOME EXPECTATIONS ACROSS GENDER AND RACIAL/ETHNIC GROUPS , 2014 .

[49]  R. Guadagno,et al.  The Role of Social Support in Students’ Perceived Abilities and Attitudes Toward Math and Science , 2013, Journal of youth and adolescence.

[50]  Brett D. Jones,et al.  The impact of engineering identification and stereotypes on undergraduate women’s achievement and persistence in engineering , 2013 .

[51]  C. W. Loo,et al.  Sources of Self-Efficacy Influencing Academic Performance of Engineering Students , 2013 .

[52]  Semra Sungur,et al.  Middle School Students’ Science Self-Efficacy and Its Sources: Examination of Gender Difference , 2012 .

[53]  N. Dasgupta,et al.  Ingroup Experts and Peers as Social Vaccines Who Inoculate the Self-Concept: The Stereotype Inoculation Model , 2011 .

[54]  David N. Beede,et al.  Women in STEM: A Gender Gap to Innovation , 2011 .

[55]  K. Haimovitz,et al.  Effects of person versus process praise on student motivation: stability and change in emerging adulthood , 2011 .

[56]  Jane Stout,et al.  STEMing the tide: using ingroup experts to inoculate women's self-concept in science, technology, engineering, and mathematics (STEM). , 2011, Journal of personality and social psychology.

[57]  Lisa Linnenbrink-Garcia,et al.  Students emotions and academic engagement: Introduction to the special issue , 2011 .

[58]  Brett D. Jones,et al.  An Analysis of Motivation Constructs with First‐Year Engineering Students: Relationships Among Expectancies, Values, Achievement, and Career Plans , 2010 .

[59]  Amanda B. Diekman,et al.  Seeking Congruity Between Goals and Roles , 2010, Psychological science.

[60]  James P. Concannon,et al.  A Cross-Sectional Study of Engineering Students’ Self-Efficacy by Gender, Ethnicity, Year, and Transfer Status , 2009 .

[61]  D. Shen,et al.  Women Engineering Students and Self‐Efficacy: A Multi‐Year, Multi‐Institution Study of Women Engineering Student Self‐Efficacy , 2009 .

[62]  Ellen L. Usher,et al.  Sources of Self-Efficacy in School: Critical Review of the Literature and Future Directions , 2008 .

[63]  Frank Pajares,et al.  A comparative study of the self‐efficacy beliefs of successful men and women in mathematics, science, and technology careers , 2008 .

[64]  Linda C. Schmidt,et al.  Longitudinal relations of self-efficacy to outcome expectations, interests, and major choice goals in engineering students , 2008 .

[65]  R. Layton,et al.  Persistence, Engagement, and Migration in Engineering Programs , 2008 .

[66]  G. Bodner,et al.  Providing a Voice: Qualitative Investigation of the Impact of a First‐Year Engineering Experience on Students' Efficacy Beliefs , 2008 .

[67]  C. Vogt,et al.  Faculty as a Critical Juncture in Student Retention and Performance in Engineering Programs , 2008 .

[68]  Charles B. Hodges.  Self-Efficacy in the Context of Online Learning Environments , 2008 .

[69]  Dale R. Baker,et al.  AC 2007-148: IN HER SHOES: HOW TEAM INTERACTIONS AFFECT ENGINEERING SELF-EFFICACY , 2007 .

[70]  Linda Serra Hagedorn,et al.  A Social Cognitive Construct Validation: Determining Women's and Men's Success in Engineering Programs , 2007 .

[71]  Frank M. Pajares,et al.  Sources of science self‐efficacy beliefs of middle school students , 2006 .

[72]  James L. Moore.  A Qualitative Investigation of African American Males’ Career Trajectory in Engineering: Implications for Teachers, School Counselors, and Parents , 2006, Teachers College Record: The Voice of Scholarship in Education.

[73]  George M. Bodner,et al.  Factors Influencing the Self‐Efficacy Beliefs of First‐Year Engineering Students , 2006 .

[74]  V. Braun,et al.  Using thematic analysis in psychology , 2006 .

[75]  Faye J. Crosby,et al.  The Perceived Importance of Developmental Relationships on Women Undergraduates' Pursuit of Science1 , 2005 .

[76]  Reinhard Pekrun,et al.  The structure of students' emotions experienced during a mathematical achievement test , 2005 .

[77]  D. Ruble,et al.  Recognizing the centrality of gender identity and stereotype knowledge in gender development and moving toward theoretical integration: reply to Bandura and Bussey (2004). , 2004, Psychological bulletin.

[78]  Frank M. Pajares,et al.  SELF-EFFICACY DURING CHILDHOOD AND ADOLESCENCE Implications for Teachers and Parents , 2003 .

[79]  Andrew L. Zydney,et al.  Impact of Undergraduate Research Experience in Engineering , 2002 .

[80]  C. Atman,et al.  Gender and Ethnicity Differences in Freshmen Engineering Student Attitudes: A Cross‐Institutional Study * , 2001 .

[81]  Nancy E. Betz,et al.  Sources of Social Self-Efficacy Expectations: Their Measurement and Relation to Career Development , 2001 .

[82]  Frank M. Pajares,et al.  Against the Odds: Self-Efficacy Beliefs of Women in Mathematical, Scientific, and Technological Careers , 2000 .

[83]  A. Bandura.  Self-Efficacy: The Exercise of Control , 1997, Journal of Cognitive Psychotherapy.

[84]  C. Dweck,et al.  Person versus process praise and criticism: implications for contingent self-worth and coping. , 1999, Developmental psychology.

[85]  Jeffrey H. Kahn,et al.  A multiple-groups analysis of predictors of higher level career aspirations among women in mathematics, science, and engineering majors , 1998 .

[86]  Suzanne G. Brainard,et al.  A Six‐Year Longitudinal Study of Undergraduate Women in Engineering and Science * , 1998 .

[87]  B. K. Hawks,et al.  Women and Men Engineering Students: Anticipation of Family and Work Roles , 1998 .

[88]  A. Bandura,et al.  The anatomy of stages of change. , 1997, American journal of health promotion : AJHP.

[89]  Margaret M. Nauta,et al.  Women's Career Development: Can Theoretically Derived Variables Predict Persistence in Engineering Majors?. , 1997 .

[90]  Cynthia J. Atman,et al.  Characteristics of Freshman Engineering Students: Models for Determining Student Attrition in Engineering , 1997 .

[91]  Robert W. Lent,et al.  Cognitive Assessment of the Sources of Mathematics Self-Efficacy: A Thought-Listing Analysis , 1996 .

[92]  David L. Tan.  Perceived Importance of Role Models and Its Relationship With Minority Student Satisfaction and Academic Performance , 1995 .

[93]  A. Huberman,et al.  Qualitative Data Analysis: A Methods Sourcebook , 1994 .

[94]  A. Bandura.  Human agency in social cognitive theory. , 1989, The American psychologist.

[95]  J. R. Landis,et al.  The measurement of observer agreement for categorical data. , 1977, Biometrics.

[96]  Gries,et al.  The chi-square test for independence , 2022 .