Are Professional Skills Learnable? Beliefs and Expectations Among Computing Graduates
Article No.: 23, Pages 1 - 25
Abstract
Integrating graduate education with professional skills development is still a challenge. People's beliefs about learning impact their learning processes. Therefore, we need to understand the mindset of graduates to determine best practices for promoting professional skills development. In this study, we explore the perspective of computing graduates within an Engineering educational program. This study aims to answer the following research questions: Which skills do computing graduates perceive they need in the workplace, and how do they position themselves regarding these skills? What learning beliefs do computing graduates hold regarding the skills required in the workplace? The research team conducted semistructured interviews with computing graduates within an Engineering program to analyze their experiences. The interviews were analyzed using grounded theory. As a result, the participants viewed professional and technical skills as independent, with professional skills perceived as more relevant to work success. The participants considered themselves to possess these skills. Our findings identify four learning beliefs within a fixed and growth mindset: (1) An essential personal characteristic that context may influence; (2) a learning outcome determined by early experiences; (3) a learning process associated with informal learning experiences; and (4) a learning process associated with formal learning experiences. We acknowledge the differences in perception between alums and the industry regarding possessing essential professional skills. We also highlight the need to position these skills as learnable during lectures contributing to Computing and Engineering Education.
References
[1]
Accreditation Board of Engineering and Technology ABET. 2023. Retrieved October 17, 2023 from https://www.abet.org/
[2]
ABET. 2023. Criteria for Accrediting Computing Programs, 2023–2024. Retrieved October 29, 2023 from https://www.abet.org/accreditation/accreditation-criteria/criteria-for-accrediting-computing-programs-2023-2024/
[3]
ABET. 2023. Criteria for Accrediting Engineering Programs, 2023–2024. Retrieved October 29, 2023 from https://www.abet.org/accreditation/accreditation-criteria/criteria-for-accrediting-engineering-programs-2023-2024/
[4]
Hanne K. Adriansen. 2012. Timeline interviews: A tool for conducting life history research. Qualitative Studies 3, 1 (2012), 40–55.
[5]
Mikko-Ville Apiola and Mikko-Jussi Laakso. 2019. The impact of self-theories to academic achievement and soft skills in undergraduate CS studies: First findings. In Annual Conference on Innovation and Technology in Computer Science Education (ITiCSE’19). DOI:
[6]
Mandy M. Archibald. 2016. Investigator triangulation: A collaborative strategy with potential for mixed methods research. Journal of Mixed Methods Reseach 10, 3 (2016), 228–250. DOI:
[7]
Fredrik Asplund and Elias Flening. 2021. Boundary spanning at work placements: Challenges to overcome, and ways to learn in preparation for early career engineering. European Journal of Engineering Education 47 (2021), 50–69. DOI:
[8]
Susan B. Bastable and Michelle A. Dart. 2008. Developmental stages of the learner. Nurse as Educator. Jones & Bartlett, Boston, 147–198.
[9]
Pamela Baxter and Susan Jack. 2008. Qualitative case study methodology: Study design and implementation for novice researchers. The Qualitative Report 13, 4 (2008), 544–559. DOI:
[10]
Katharina Bernecker and Veronika Job. 2019. Mindset theory. Social Psychology in Action, Springer, Cham. DOI:
[11]
Ivar Braten and Helge I. Strømsø. 2020. On the roles of dispositions and beliefs in learning from multiple perspectives. In handbook of learning from multiple representations and perspectives, Peggy Van Meter, Alexandra List, Doug Lombardi, and Panayiota Kendeou (Ed.), Routledge, 141--163.
[12]
Samantha R. Brunhaver, Russell F. Korte, Stephen R. Barley, and Sheri D. Sheppard. 2019. Bridging the gaps between engineering education and practice. U.S. Engineering in a Global Economy. University of Chicago Press. DOI:
[13]
Jeffrey Buckley, James Trevelyan, and Christine Winberg. 2022. Perspectives on engineering education from the world of practice. European Journal of Engineering Education, 47, 1 (2022), 1–7. DOI:
[14]
Ashleigh E. Butler, Beverley Copnell, and Helen Hall. 2018. The development of theoretical sampling in practice. Collegian 25, 5 (2018). DOI:
[15]
Zintia S. Byrne, James Weston, and Kelly Cave. 2020. Development of a scale for measuring students’ attitudes towards learning professional (ie, soft) skills. Research in Science Education 50, 4 (2020), 1417–1433. DOI:
[16]
Russell Calk and Angela Patrick. 2017. Millennials through the looking glass: Workplace motivating factors. The Journal of Business Inquiry 16, 2 (2017), 131–139.
[17]
Anita L. Campbell, Inês Direito, and Mashudu Mokhithi. 2021. Developing growth mindsets in engineering students: a systematic literature review of interventions. European Journal of Engineering Education 46, 4 (2021), 503–527. DOI:
[18]
Marjolein C. J. Caniëls, Judith H. Semeijn, and Irma H. M. Renders. 2018. Mind the mindset! The interaction of proactive personality, transformational leadership and growth mindset for engagement at work. Career Development International 23, 1 (2018), 48–66. DOI:
[19]
Kelly A. Cave, Zinta S. Byrne, Thomas J. Siller, and Anthony A. Maciejewski. 2019. Board 89: What engineering students think about how they learn professional skills. ASEE Annual Conference & Exposition, Tampa, Florida, 2019, June. ASEE Conferences, 2019. https://peer.asee.org/32453
[20]
CC2020 Task Force. 2020. Computing curricula 2020: Paradigms for Global Computing Education. Association for Computing Machinery, New York, NY.
[21]
Kathy Charmaz. 2014. Constructing Grounded Theory. Google Scholar.
[22]
Kathy Charmaz and Linda L. Belgrave. 2019. Thinking about data with grounded theory. Qualitative Inquiry 25, 8 (2019), 743–753. DOI:
[23]
Mary Clarkson. 2001. Developing IT staff: A Practical Approach. Springer.
[24]
Wushow Chou. 2013. Fast-Tracking Your Career: Soft Skills for Engineering and IT Professionals. John Wiley & Sons.
[25]
Charlene J. E. Chua, Iris A. G. Chuatoco, Airah M. C. Dela Peña, Danielle L. F. Jimenez, and Damirson Co. 2017. The influence of participation in extracurricular activities to the employability of industrial engineering graduates of one private university in the Philippines. Asia Pacific Journal of Multidisciplinary Research, 5, 2 (2017), 163–170.
[26]
Catherine Conlon, Virpi Timonen, Catherine Elliott-O'Dare, Sorcha O'Keeffe, and Geraldine Foley. 2020. Confused about theoretical sampling? Engaging theoretical sampling in diverse grounded theory studies. Qualitative Health Research 30, 6 (2020), 947–959.
[27]
Catalina Cortázar, Miguel Nussbaum, Carlos Alario-Hoyos, Julián Goñi, and Danilo Alvares. 2022. The impacts of scaffolding socially shared regulation on teamwork in an online project-based course. Internet and Higher Education 55 (2022), 100877. DOI:
[28]
Catalina Cortázar, Miguel Nussbaum, Jorge Harcha, Danilo Alvares, Felipe López, Julián Goñi, and Verónica Cabezas. 2021. Promoting critical thinking in an online, project-based course. Computers in Human Behavior 119 (2021), 106705
[29]
Mariana L. Cruz, Gillian N. Saunders-Smits, and Pim Groen. 2020. Evaluation of competency methods in engineering education: A systematic review. European Journal of Engineering Education 45, 5 (2020), 729–757. DOI:
[30]
Norman K. Denzin. 1989. Interpretive biography. Vol. 17. Sage, 1989.
[31]
Norman K. Denzin. 2012. Triangulation 2.0*. Journal of Mixed Methods Research 6, 2 (2012), 80–88. DOI:
[32]
Carol S. Dweck. 2008. The role of beliefs in personality and change. Current Directions in Psychological Science 17, 6 (2008), 391–394.
[33]
Carol S. Dweck. 2012. Implicit Theories. In Handbook of Theories of Social Psychology: Volume 2. London, SAGE Publications Ltd. 43–61.
[34]
Carol S. Dweck and David S. Yeager. 2019. Mindsets: A view from two eras. Perspectives on Psychological Science 14, 3 (2019), 481–496. DOI:
[35]
Alice H. Eagly and Shelly Chaiken. 1993. Psychology of Attitudes. Harcourt Brace Jovanovich College Publishers; First Edition (January 1, 1993).
[36]
Ilker Etikan, Sulaiman A. Musa, and Rukayya S. Alkassim. 2016. Comparison of convenience sampling and purposive sampling. American Journal of Theoretical and Applied Statistics 5, 1 (2016), 1–4. DOI:
[37]
European Network for Accreditation of Engineering Education EUR-ACE. Retrieved October 17, 2023 from http://www.enaee.eu/
[38]
Marisa Exter, Secil Caskurlu, and Todd Fernandez. 2018. Comparing computing professionals’ perceptions of importance of skills and knowledge on the job and coverage in undergraduate experiences. ACM Transactions on Computing Education 18, 4 (2018), Article 21, 29 pages.
[39]
Elias Flening, Fredrik Asplund, and Martin E. Grimheden. 2022. Measuring professional skills misalignment based on early-career engineers’ perceptions of engineering expertise. European Journal of Engineering Education 47, 1 (2022), 117–143. DOI:
[40]
Uwe Flick. 2020. Introducing research methodology: thinking your way through your research project. Introducing Research Methodology. 1–416.
[41]
Silvia E. Gallagher and Timothy Savage. 2023. Challenge-based learning in higher education: An exploratory literature review. Teaching in Higher Education 28, 6 (2023), 1135–1157. DOI:
[42]
Vahid Garousi, Gorkem Giray, Eray Tuzun, Cagatay Catal, and Michael Felderer. 2020. Closing the gap between software engineering education and industrial needs. IEEE Software 37, 2 (2020), 68–77. DOI:
[43]
Lisa M. Given. 2016. 100 Questions (and Answers) About Qualitative Research. California: SAGE Publications.
[44]
Barney G. Glaser and Anselm L. Strauss. 2017. Discovery of Grounded Theory: Strategies for Qualitative Research. Routledge, New York. DOI:
[45]
Elizabeth A. Gunderson, Noora Hamdan, Nicole S. Sorhagen, and Alexander P. D'Esterre. 2017. Who needs innate ability to succeed in math and literacy? Academic-domain-specific theories of intelligence about peers versus adults. Developmental Psychology 53, 6 (2017), 1188–1205. DOI:
[46]
Marché R. Haddad. 2018. The employment expectations of masters engineering students. In 2019 Advances in Science and Engineering Technology International Conferences (ASET’19). 1–6.
[47]
Anke Heyder, Anne F. Weidinger, Andrei Cimpian, and Ricarda Steinmayr. 2020. Teachers’ belief that math requires innate ability predicts lower intrinsic motivation among low-achieving students. Learning and Instruction 65 (2020), 101220. DOI:
[48]
Mohamed Hussein, Sandra Hirst, Vince Salyers, and Joseph Osuji. 2014. Using grounded theory as a method of inquiry: Advantages and disadvantages. The Qualitative Report, 19, 27 (2014), 1–15.
[49]
Nicola Ingram and Kim Allen. 2019. ‘Talent-spotting’ or ‘social magic’? Inequality, cultural sorting and constructions of the ideal graduate in elite professions. Sociological Review 67, 3 (2019). DOI:
[50]
Francisco Iniesto, Julia Sargent, Bart Rienties, Ariadna Llorens, Araceli Adam, Christothea Herodotou, Rebecca Ferguson, and Henry Muccini. 2021. When industry meets education 4.0: What do computer science companies need from higher education? In ACM International Conference Proceeding Series. 367–372. DOI:
[51]
Aditya Johri. 2021. Lifelong and lifewide learning for the perpetual development of expertise in engineering. European Journal of Engineering Education 0 (2021), 1–15. DOI:
[52]
Jeongeun Kim and Michael N. Bastedo. 2017. Athletics, clubs, or music? The influence of college extracurricular activities on job prestige and satisfaction. Journal of Education and Work 30, 3 (2017), 249–269.
[53]
Nigel M. Lou and Kimberly A. Noels. 2019. Promoting growth in foreign and second language education: A research agenda for mindsets in language learning and teaching. System 86 (2019), 102126. DOI:
[54]
Shaheen Majid, Chithra Mary Eapen, Ei MonOo, and Khine Thazin Aung. 2019. The importance of soft skills for employability and career development: Students and employers’ perspectives. IUP Journal of Soft Skills 13, 4 (2019), 7–39.
[55]
Sally Male. 2010. Generic engineering competencies: A review and modelling approach. Education Research & Perspectives 37, 1 (2010), 25–51. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&db=eue&AN=79555631&site=ehost-live
[56]
Kirsti Malterud, Volkert D. Siersma, and Ann D. Guassora. 2016. Sample size in qualitative interview studies: Guided by information power. Qualitative Health Research 26, 13 (2016), 1753–1760. DOI:
[57]
Sara I. Marin-Zapata, Juan P. Román-Calderón, Cristina Robledo-Ardila, and Maria A. Jaramillo-Serna. 2022. Soft skills, do we know what we are talking about? Review of Managerial Science 16 (2022), 969–1000. DOI:
[58]
Inocencia M. Martínez-León, Isabel Olmedo-Cifuentes, and María C. Ramón-Llorens. 2018. Work, personal and cultural factors in engineers’ management of their career satisfaction. Journal of Engineering and Technology Management, 47 (2018), 22–36.
[59]
Jennifer Mason. 2017. Qualitative Researching (3rd ed.). Sage Publications Ltd.
[60]
Gerardo Matturro, Florencia Raschetti, and Carina Fontán. 2019. A systematic mapping study on soft skills in software engineering. Journal of Universal Computer Science 25, 1 (2019).
[61]
Janet McDaid. 1993. Book reviews: Practical sampling, by Gary T. Henry. Newbury Park, CA, Sage, 1990, 139 pp. Evaluation Practice, 14, 1 (1993), 69--71.
[62]
Doreen McGunagle and Laura Zizka. 2020. Employability skills for 21st-century STEM students: The employers’ perspective. Higher Education, Skills and Work-based Learning 10, 3 (2020). DOI:
[63]
Dirk Meissner and Natalia Shmatko. 2019. Integrating professional and academic knowledge: The link between researchers skills and innovation culture. Journal of Technology Transfer 44, 4 (2019), 1273–1289. DOI:
[64]
Sarah Mercer and Stephen Ryan. 2010. A mindset for EFL: Learners’ beliefs about the role of natural talent. ELT Journal 64, 4 (2010), 436–444. DOI:
[65]
Paul Mihas. 2019. Qualitative data analysis. Oxford Research Encyclopedia of Education. Oxford University Press. DOI:
[66]
Darja Miscenko and David V. Day. 2016. Identity and identification at work. Organizational Psychology Review 6, 3 (2016), 215–247. DOI:
[67]
National Science Foundation. 1997. Systemic engineering education reform: An action agenda. NSF98–27. http://www.nsf.gov/cgi-bin/getpub?nsf9827
[68]
Joanna B. Noah and Azlina A. Aziz. 2020. A systematic review on soft skills development among university graduates. EDUCATUM Journal of Social Sciences 6, 1 (2020), 53–68. DOI:
[69]
Thomas A. O'Neill, Amanda Deacon, Nicole L. Larson, Genevieve C. Hoffart, Robert W. Brennan, Marjan Eggermont, and William Rosehart. 2015. Life-long learning, conscientious disposition, and longitudinal measures of academic engagement in engineering design teamwork. Learning and Individural Differences 39 (2015), 124–131. DOI:
[70]
William F. Owen. 1984. Interpretive themes in relational communication. Quarterly Journal of Speech 70, 3 (1984), 274–287. DOI:
[71]
Carlos Pais-Montes, Maria J. Freire-Seoane, and Beatriz López-Bermúdez. 2019. Employability traits for engineers: A competencies-based approach. Industry and Higher Education 33, 5 (2019), 308–326. DOI:
[72]
Honor J. Passow. 2012. Which ABET competencies do engineering graduates find most important in their work? Journal of Engineering Education 101, 1 (2012). DOI:
[73]
Honor J. Passow and Christian H. Passow. 2017. What competencies should undergraduate engineering programs emphasize? A systematic review. Journal of Engineering Education 106, 3 (2017), 475–526. DOI:
[74]
Susan K. Patrick and Ela Joshi. 2019. “Set in stone” or “willing to grow”? Teacher sensemaking during a growth mindset initiative. Teaching and Teacher Education 83 (2019), 156–167. DOI:
[75]
Madeline Polmear, Angela R. Bielefeldt, Daniel Knight, Nathan Canney, and Christopher Swan. 2019. Analysis of macroethics teaching practices and perceptions in engineering: A cultural comparison. European Journal of Engineering Education 44, 6 (2019), 866–881. DOI:
[76]
Alex Radermacher and Walia Gursimran. 2013. Gaps between industry expectations and the abilities of graduates. In Proceedings of the 44th ACM Technical Symposium on Computer Science Education (SIGCSE’13). Association for Computing Machinery, 525–530. DOI:
[77]
Shanthi Rajan and Archana Pandita. 2019. Employability and hiring trends of engineering job aspirants in UAE. In 2019 Advances in Science and Engineering Technology International Conferences (ASET’19). IEEE, 1–6.
[78]
Raj Rajendra, Mihaela Sabin, John Impagliazzo, David Bowers, Mats Daniels, Felienne Hermans, Natalie Kiesler, Amruth N. Kumar, Bonnie MacKellar, Renée McCauley, Syed Waqar Nabi, and Michael Oudshoorn. 2021. Professional competencies in computing education: Pedagogies and assessment. In Annual Conference on Innovation and Technology in Computer Science Education (ITiCSE’21). Association for Computing Machinery, 133–161. DOI:
[79]
Yasir Rashid, Ammar Rashid, Muhammad Akib Warraich, Sana Sameen Sabir, and Ansar Waseem. 2019. Case study method: A step-by-step guide for business researchers. International Journal of Qualitative Methods 18 (2019). DOI:
[80]
Urša Reja, Katja Lozar Manfreda, Valentina Hlebec, and Vasja Vehovar. 2003. Open-ended vs. Close-ended Questions in Web Questionnaires. Adv Methodol Stats. 19.
[81]
Benjamin Saunders, Julius Sim, Tom Kingstone, Shula Baker, Jackie Waterfield, Bernadette Bartlam, Heather Burroughs, and Clare Jinks. 2018. Saturation in qualitative research: Exploring its conceptualization and operationalization. Quality and Quantity 52, 4 (2018), 1893–1907. DOI:
[82]
Larry J. Shuman, Mary Besterfield-Sacre, and Jack McGourty. 2005. The ABET “professional skills”—Can they be taught? Can they be assessed? Journal of Engineering Education 94, 1 (2005), 41–55. DOI:
[83]
Fran Stewart. 2017. The STEM Dilemma: Skills that Matter to Regions. WE Upjohn Institute for Employment Research.
[84]
Safura A. Sukiman, Haslenda Yusop, Rashidah Mokhtar, and Nur Huda Jaafar. 2016. Competition-based learning: Determining the strongest skill that can be achieved among higher education learners. In Regional Conference on Science, Technology and Social Sciences (RCSTSS’14). DOI:
[85]
Anna K. Touloumakos. 2020. Expanded yet restricted: A mini review of the soft skills literature. Frontiers in Psychology 11 (2020). DOI:
[86]
James Trevelyan. 2019. Transitioning to engineering practice. European Journal of Engineering Education 44, 6 (2019), 821–837. DOI:
[87]
Roos Van Gasse, Kristin Vanlommel, Jan Vanhoof, and Peter Van Petegem. 2020. Teacher interactions in taking action upon pupil learning outcome data: A matter of attitude and self-efficacy? Teaching and Teacher Education 89 (2020), 102989. DOI:
[88]
Ming-Te Wang, Cristina D. Zepeda, Xu Qin, Juan del Toro, and Kevin R. Binning. 2021. More than growth mindset: Individual and interactive links among socioeconomically disadvantaged adolescents’ ability mindsets, metacognitive skills, and math engagement. Child Development 92, 5 (2021), e957–e976. DOI:
[89]
Christine Winberg, Mike Bramhall, David Greenfield, Patrick Johnson, Peter Rowlett, Oliver Lewis, Jeff Waldock, and Karin Wolff. 2020. Developing employability in engineering education: A systematic review of the literature. European Journal of Engineering Education 45, 2 (2020), 165–180. DOI:
[90]
R. K. Yin. 2003. Case study research design and methods. Case Study Research: Design and Methods. Sage, Thousand Oaks, CA.
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Publication History
Published: 16 April 2024
Online AM: 24 January 2024
Accepted: 04 January 2024
Revised: 13 November 2023
Received: 02 February 2023
Published in TOCE Volume 24, Issue 2
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