Abstract
Within this article, the researchers present the design, implementation, and evaluation of a pilot of a virtual peer mentoring training program for racial and ethnic minority women peer mentors within STEM programs at two historically black institutions. The design, usefulness, and usability of the training program are explored, and the influence of participation in the training program on mentors' self-efficacy, mentoring competencies, and persistence in STEM. The results demonstrate that racial and ethnic minority women peer mentors participating in the program increased their STEM self-efficacy, and, in turn, their mentoring competencies and intent to graduate from a STEM program. In addition to these results, lessons learned about the program and its design, including usefulness and usability, and implementation are shared.
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References
Bandura, A. (1977). Self-efficacy theory: Toward a unifying theory of behavioral change. Psychological Review, 34(2), 191–215. Retrieved from https://www.uky.edu/~eushe2/Bandura/Bandura1977PR.pdf
Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Prentice- Hall Inc.
Bandura, A. (2006). Toward a psychology of human agency. Perspectives on Psychological Science, 1, 164–180. https://doi.org/10.1037/e416902005-796
Bates, A. W. (2015). Teaching in a Digital Age: Guidelines for Designing Teaching and Learning. http://opentextbc.ca/teachinginadigitalage
Bloomberg, L. D., & Volpe, M. (2012). Completing your qualitative dissertation: A road map from beginning to end. Thousand Oaks, CA: Sage Publications.
Building Engineering & Science Talent, (BEST). (2004). A Bridge for All: Higher Education Design Principles to Broaden Participation in Science, Technology, Engineering and Mathematics, Building Engineering & Science Talent (BEST). Retrieved form www.bestworkforce.org
Byars-Winston, A., & Dahlberg, M. L. (Eds.). (2019). The science of effective mentorship in STEMM. Washington, DC: The National Academies of Sciences, Engineering, Medicine. And National Science Foundation. (2019). Women, minorities, and persons with disabilities in science and engineering. Retrieved from https://ncses.nsf.gov/pubs/nsf19304/digest
Cadaret, M. C., Hartung, P. J., Subich, L. M., & Weigold, I. K. (2017). Stereotype threat as a barrier to women entering engineering careers. Journal of Vocational Behavior, 99, 40–51.
Carlone, H., & Johnson, A. (2007). Understanding the science experiences of successful women of color: Science identity as an analytic lens. Journal of Research in Science Teaching, 44(8), 96–564.
Chemers, M. M., Hu, L., & Garcia, B. F. (2001). Academic self-efficacy and first year college student performance and adjustment. Journal of Educational Psychology, 93(1), 55–64. https://doi.org/10.1037/0022-0663.93.1.55
Cohen, N. H. (2003). The journey of the principles of adult mentoring inventory. Adult Learning, 14(1), 4–7.
Cohen, N. H. (2008). The Principles of Adult Mentoring Inventory Leader’s Guide. Amherst Press.
Collier, P. J. (2015). Develo** effective student peer mentoring programs: A practitioner’s guide to program design, delivery, evaluation and training. Sterling, VA: Stylus Publishing. Dawson, A. E., Bernstein, B. L., Bekki, J. M. (2015). Providing the psychosocial benefits of mentoring women in STEM: CareerWISE as an online solution. New Directions for Higher Education, 171, 53–62.
Coursaris, K. C. & Kim, D. J. (2006). A Qualitative Review of Empirical Mobile Usability Studies" (presentation, Twelfth Americas Conference on Information Systems, Acapulco, Mexico, August 4–6, 2006). http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.83.4082&rep=rep1&type=pdf
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982–1003. https://doi.org/10.1287/mnsc.35.8.982
Dawson, A. E., Bernstein, B. L., & Bekki, J. M. (2015). Providing the psychosocial benefits of mentoring to women in STEM: CareerWISE as an online solution, New Directions in Higher Education, 2015(171), 53–62. https://doi.org/10.1002/he.2014
DiRenzo, M. S., Linnehan, F., Shao, P., & Rosenberg, W. L. (2010). A moderated mediation model of e-mentoring. Journal of Vocational Behavior, 76(2), 292–305. https://doi.org/10.1016/j.jvb.2009.10.003
Elbabour, F., Alhadreti, O., & Mayhew, P. (2017). Eye tracking in retrospective think-aloud usability testing: Is there added value? The Journal of Usability Studies, 12(3), 95–110.
Else-Quest, N. M., Hyde, J. S., & Linn, M. C. (2010). Cross-national patterns of gender differences in mathematics: A meta-analysis. Psychological Bulletin, 136(1), 103–127. http://dx.doi.org/10.1037/a0018053
Falk, N. A., Rottinghaus, P. J., Casanova, T. N., Borgen, F. H., & Betz, N. E. (2017). Expanding women’s participation in STEM: Insights from parallel measures of self-efficacy and interests. Journal of Career Assesment, 25(4), 571–584.
Feldhaus, C., Bentrem, K. (2015). STEM mentoring and the use of the principles of Adult Mentoring Inventory. International Journal of Mentoring and Coaching in Education, 3, 213-235. https://doi.org/10.1108/IJMCE-11-2014-0039
Fouad, N. A., Singh, R., Cappaert, K., Chang W. H., & Wan, M. (2016). Comparison of women engineers who persist in or depart from engineering. Journal of Vocational Behavior, 92:79–93
Galbraith, M. W., & Cohen, N. H. (Eds.). (1995). Mentoring: New strategies and challenges. New directions for adult and continuing education, 66. Jossey-Bass.
Gandhi, M., & Johnson, M. (2016). Creating more effective mentors: Mentoring the mentor. AIDS and Behavior, 20(S2), 294–303. https://doi.org/10.1007/s10461-016-1364-3 Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/27039092
Hassenzahl, M. (2004). The interplay of beauty, goodness, and usability in interactive products. Human–Computer-Interaction, 19(4), 319–349.
Hassenzahl, M., & Tractinsky, N. (2006). User experience: A research agenda. Behaviour and Information Technology, 25, 91–97.
Heaton-Shrestha, C., May, S., & Burke, L. (2009) Student retention in higher education: what role for virtual lear
Headlam-Wells, J., Gosland, J., & Craig, J. (2005). “There’s magic in the web”: E-mentoring for women’s career development. The Career Development International, 10(6–7), 444–459. https://doi.org/10.1108/13620430510620548
Hill, C., Corbett, C., & St. Rose, A. (2010). Why so few? Women in science, technology, engineering, and mathematics. Association for the Advancement of University Women.
Illeris, K. (2009). A comprehensive understanding of human learning. In K. Illeris (Ed.), Contemporary Theories of Learning: Learning Theorists—In Their Own Words (p. 720). Routledge.
Illeris, K. (2015). The development of a comprehensive and coherent theory of learning. European Journal of Education, 50(1), 29–40.
Jarodzka, H., Balslev, T., Holmqvist, K., Nyström, M., Scheiter, K., Gerjets, P., & Eika, B. (2012). Conveying clinical reasoning based on visual observation via eye-movement modelling examples. Instructional Science, 40(5), 813–827.
Kumar, M., & Garg, N. (2010). Aesthetic principles and cognitive emotion appraisals: How much of the beauty lies in the eye of the beholder? Journal of Consumer Psychology, 20(4), 485–494. https://doi.org/10.1016/j.jcps.2010.06.015
Law, E. L. C., Roto, V., Hassenzahl, M., Vermeeren, A. P., & Kort, J. (2009). Understanding, sco** and defining user experience: a survey approach. In Proceedings of the SIGCHI conference on human factors in computing systems (pp. 719-728).
Liamputtong, P. (2011). Focus group methodology. Thousand Oaks, CA: Sage Publications.
Mayer, R. E. (2009). Multimedia learning (2nd ed.). Cambridge University Press.
Matteson, M. L. (2014). The whole student: Cognition, emotion, and information literacy. College & Research Libraries, 75(6), 862–877.
McGee, R. & Keller, J.L. (2007). Identifying future scientists: Predicting persistence into research training. Life Science Education, 6(4), 316–331.
Miville, M. L., Koonce, D., Darlington, P., & Whitlock, B. (2000). Exploring the relationships between racial/cultural identity and ego identity among African Americans and Mexican Americans. Journal of Multicultural Counseling & Development, 28(4), 208–225.
Moreno, R., & Park, B. (2010). Cognitive load theory: Historical development and relation to other theories. In J. L. Plass, R. Moreno, & R. Brünken (Eds.), Cognitive load theory. New York: Cambridge University Press.
National Institutes of Health. (2011). Investing in the Future: Strategic Plan for Biomedical and Behavior Research Training. National Institute of General Medical Sciences.
National Science Foundation. (2018). Women, minorities, and persons with disabilities in science and engineering. Retrieved from https://www.nsf.gov/statistics/2017/nsf17310/
Nearing, K. A., Nuechterlein, B. M., Tan, S., Zerzan, J., Libby, A., & Austin, G. L. (2020). Training mentor-mentee pairs to build a robust culture for mentorship and a pipeline of clinical and translational researchers: The Colorado Mentoring Training Program. Academic Medicine, 95(5), 730–736.
Neely, A., Cotton, J., & Neely, A. (2017). E-mentoring: A model and review of the literature. AIS Transactions on Human-Computer Interaction, 9(3), 220–242.
Owens, E. W., Shelton, A. J., Bloom, C. M., & Cavil, J. K. (2012). The significance of HBCUs to the production of STEM graduates: Answering the call. Educational Foundations,
Owens-Sabir, C. (2007). The relationship between self-esteem and delinquency: Implications for academic achievement among African Americans. Jackson State University Researcher, 21(3), 59–82.
Packard, B. W., Marciano, V. N., Payne, J. M., Bledzki, L. A., & Woodard, C. T. (2014). Negotiating peer mentoring roles in undergraduate research lab settings. Mentoring & Tutoring: Partnership in Learning, 22(5), 433–445.
Palloff, R., & Pratt, K. (1999). Building Learning Communities in Cyberspace: Effective Strategies for the Online Classroom. Jossey-Bass.
Perin, D. (2014). Facilitating student learning through contextualization. In S. Armstrong, N. Stahl & H. Boylan (Eds), Teaching developmental reading (2nd ed.). New York, NY: MacMillan Publishing
Pfund, C., House, S., Asquith, P., Fleming, M., & Buhr, K. (2014). Training mentors of clinical and translational research scholars: A randomized controlled trial. Academic Medicine, 89, 82–774.
Pon-Berry, H., Packard, B. W., & St. John, A. (2017). Expanding capacity and promoting inclusion in introductory computer science: A focus on near-peer mentor preparation and code review. Computer Science Education, 27(1), 54–77.
Remaker, D. N., Gonzalez, M. M., Houston-Armstrong, T., & Sprague-Connors, G. (2019). Women of color and mentorship in graduate training. Training and Education in Professional Pscyhology. https://doi.org/10.1037/tep0000297
Rockinson-Szapkiw, A. J., Herring Watson, J., Gishbaugher, J., & Wendt, J. (2021a). A mixed method study: The experiences of women mentees in a virtual STEM peer mentoring program. International Journal of Mentoring and Coaching in Education, 10(2). https://doi.org/10.1108/IJMCE-08-2020-0053
Rockinson-Szapkiw, A.J., & Wendt, J. (2021b). A multi-site case study: The benefits and challenges of a blended peer mentoring program for women peer mentors in STEM. International Journal of Mentoring and Coaching in Education, 10(1), 1-16. https://doi.org/10.1108/IJMCE-03-2020-0011
Rockinson-Szapkiw, A., Wendt, J. L., & Stephen, J. S. (2021c). The Efficacy of a Blended Peer Mentoring Experience for Racial and Ethnic Minority Women in STEM Pilot Study: Academic, Professional, and Psychosocial Outcomes for Mentors and Mentees. Journal for STEM Education Research, 1-21. https://doi.org/10.1007/s41979-020-00048-6
Rowe-Johnson, M. (2018). Achieving ethical mentoring and mentee professional integrity through formal mentor training for practicin psychologists. Training and Education in Professional Psychology, 12(3), 203–209.
Rowland, K. N. (2012). E-mentoring: An innovative twist to traditional mentoring. Journal of Technology Management & Innovation, 7(1), 228–237. https://doi.org/10.4067/S0718-27242012000100015
Shin, D. H. (2009). The evaluation of user experience of the virtual world in relation to extrinsic and intrinsic motivation. International Journal of Human-Computer Interaction, 25(6), 530–553.
Stake, R.E. (1994). Case studies. In N.K. Denzin & Y.S. Lincoln (Eds.), Handbook of qualitative research, (pp. 236-247). Thousand Oaks, CA: Sage Publications.
Stake, R. E. (2003). Case studies. In N. K. Denzin & Y. S. Lincoln (Eds.), Strategies of qualitative research, (2nd ed., pp. 134-164). Thousand Oaks, CA: Sage Publications.
Steele, C. M., & Aronson, J. (1995). Stereotype threat and the intellectual test performance of African Americans. Journal of Personality and Social Psychology, 69(5), 797–811. https://doi.org/10.1037/0022-3514.69.5.797
Steele, C. M. (1997). A threat in the air: How stereotypes shape intellectual identity and performance. American Psychologist, 52(6), 613–629. https://doi.org/10.1037/0003-066X.52.6.613
Streitwieser, B., & Light, G. (2010). When undergraduates teach undergraduates: Conceptions of and approaches to teaching in a peer led team learning intervention in the STEM disciplines: Results of a two year study. International Journal of Teaching and Learning in Higher Education, 22(3), 346–356.
Stoeger, H., Duan, X., Schirner, S., Greindl, T., & Ziegler, A. (2013). The effectiveness of a one-year online mentoring program for girls in STEM. Computers & Education, 69, 408–418. https://doi.org/10.1016/j.compedu.2013.07.032
Stone, D. L., & Lukaszewski, K. M. (2009). An expanded model of the factors affecting the acceptance and effectiveness of electronic human resource management systems. Human Resource Management Review, 19(2), 134–143. https://doi.org/10.1016/j.hrmr.2008.11.003
Tawfik, A. A., Gatewood, J., Gishbaugher, J. J., & Hampton, A. J. (2020). Technology, knowledge, and learning: Towards a definition of learning experience design [Conference session]. AECT, Virtual.
Tien, L. T., Roth, V., & Kampmeier, J. A. (2004). A course to prepare peer leaders to implement a student-assisted learning method. Journal of Chemical Education, 81(9), 1313–1321.
Tinto, V. (2017). Through the eyes of students. Journal of College Student Retention:Research, Theory & Practice, 19(3), 254–269. Retrieved from https://doi.org/10.1177/1521025115621917
Tuch, A. N., Roth, S. P., Hornbæk, K., Opwis, K., & Bargas-Avila, J. A. (2012). Is beautiful really usable? Toward understanding the relation between usability, aesthetics, and affect in HCI. Computers in Human Behavior, 28, 1596–1607.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. Management Information Systems Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540
Wenger, E., McDermott, R., & Snyder, W. M. (2002). Cultivating communities of practice: A Guide to managing knowledge. Harvard Business School Press.
Wolff, C. E., Jarodzka, H., van den Bogert, N., & Boshuizen, H. P. A. (2016). Teacher vision: expert and novice teachers’ perception of problematic classroom management scenes. Instructional Science, 44(3), 243–265.
Yin, R. K. (2014). Case study research: Design and methods. Los Angeles, CA: Sage.
Zeldin, A. L., & Pajares, F. (2000). Against the odds: Self-efficacy beliefs of women in mathematical, scientific, and technological careers. American Educational Research Journal, 37, 215–246. Retrieved from http://www.engr.psu.edu/awe/misc/arps/arp_selfefficacy_overview_122208.pdf
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This material is based upon work supported by the National Science Foundation under Grant No. 1717082. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the National Science Foundation's views. Institutional Review Board approval was provided for this study, and all participants provided informed consent.
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Rockinson-Szapkiw, A.J., Sharpe, K. & Wendt, J. Promoting Self-Efficacy, Mentoring Competencies, and Persistence in STEM: A Case Study Evaluating Racial and Ethnic Minority Women's Learning Experiences in a Virtual STEM Peer Mentor Training. J Sci Educ Technol 31, 386–402 (2022). https://doi.org/10.1007/s10956-022-09962-3
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DOI: https://doi.org/10.1007/s10956-022-09962-3