22. Research in Higher Education
Paper
Development of Arts-driven Competence Model for Future Innovators and Entrepreneurs: implications from and for academia and industry
Brigita Janiunaite, Aiste Vaisnore, Monika Petraite
KTU, Lithuania
Presenting Author: Petraite, Monika
The complexity of innovation under uncertainty and undergoing the digital transformation of society requires an ultimate ability to embrace the unknown, transform the contexts and solutions, make sense, and deliver value with societal and environmental impact from those who engage in an innovation journey in the 21st century. However, the competence development models, and even so practices, rely on models that have been developed a few decades ago and lack an in-depth integration of skills that would allow the innovator to navigate the uncertainty with greater creativity and confidence. Both the academic and the business environments must reinvent themselves and adopt a more responsible and desirable approach to innovation (Owen, Bessant, et al., 2013), embracing sustainability, inclusion, and societal risks, but also frugal and circular innovation while embracing the challenge of digital transformation inducing the new logic of work, and a societal organization at large. To progressively develop a collective commitment of care for the future and to identify innovation targets in a more ethical, inclusive, and equitable manner, innovation managers need to see “the big picture” and develop new skills and competencies such as creativity, critical thinking, curiosity but also mindfulness, empathy, emotional engagement, and a greater awareness and sensibility towards environment and all stakeholders of their ecosystem. The potential success considering the context of the digital transformation era lies in the mix of these skills, abilities, and orientations (Dabrowska and Podmetina, 2017; Ritala et al., 2021) consequently the combination of skills needs to be reconsidered, adapted or even reinvented.
In the innovation management literature, the attention is rarely focused on skills (Chiarello et al., 2021; Kim and Lee, 2022; Membrillo-Hernández et al., 2021), although the rapid technological (and in particular the AI development) and sustainable changes highlight the alarming necessity for innovators and creative thinkers to develop a more holistic and interdisciplinary approach to innovation and entrepreneurship (Dobson and Walmsley, 2021). Unfortunately, education practices struggle to equip the students with the set of skills to act under the unknown, deal with extreme complexity, ambiguity (Schleicher, 2018) and wicked problem solving (Von Thienen et al., 2014). Integrating Art - and all artistic experimentations from visual arts, to theater, dance, music, photography, design…- could help to focus on new, different, unconventional and creative skills that are lacking in the current approach of innovation and education (Berthinier-Poncet et al., 2022). The integration of Arts in the industrial environment could also fill the need of organizations to engage in new, more spontaneous, sustainable and novel ways of managing and innovating (Carlucci and Schiuma, 2018). The artistic process allows for a different kind of understanding regarding approach to creativity, one that emphasizes self-generation, metacognition, and thematic coherence.
The relatively recent STEAM education approach - Science Technology Engineering Arts and Math’s - offers a major step in the development of these expected new skills as it emphasizes experiential and transversal learning, transdisciplinary and project-based work stimulating autonomy, creativity and self-control in students (Chien and Chu, 2018; Conde-González et al., 2021). This development is part of the recent trend towards transformative learning (Clark and Wilson, 1991; Watkins et al., 2012) that represents a profound shift in an individual's perspective, beliefs, and assumptions, leading to a more inclusive and critically reflective worldview (Mezirow, 1997). The significant emphasis is placed on skills and competencies derived from Arts.
In this paper we study (RQ) what new skill sets are essential for future innovators and entrepreneurs’ competence development from industry and academia perspective and propose an Arts-driven competence model for future innovators and entrepreneurs.
Methodology, Methods, Research Instruments or Sources UsedThis research aimed at empirical validation and testing of the theoretical competence model for innovation and entrepreneurship. The survey strategy was chosen to analyze the needs and openness of companies regarding transdisciplinary STEAM skills, the importance of different sets of skills and to study the overall awareness and application of the STEAM practices in European organizations, industry, and academia. The questionnaire was developed aiming at industry, academia, and policy makers respondents. In this questionnaire we provided respondents with literature-based skill sets and asked them to evaluate the importance of skills and arts-based approaches in business and education, organizational needs and requirements for new skills and competencies development to understand the roles of future innovation specialists with 21st century and STEAM skills.
To assess the importance of different soft, artistic, and unconventional skills in industry and academia we applied a list of skills elaborated after several literature review rounds, experts’ validations and focus group interviews and workshops. In addition, we controlled for industry vs academia background.
The online survey was launched at the end of 2022 through an emailing campaign and social networks. Due to social network coverage in total, we have responses from 18 countries. The average response rate was about 30 %, but this varied between countries. After cleaning the sample and removing incomplete questionnaires, the final number of responses accepted for further analysis was 138. 56 respondents are from industry (40,6%), 73 from academia (52,9%) and 9 policy makers (6,5%).
The academic respondents are full professors (17,8%), associate professors (15,1%), lecturers (11%), researchers (24,6%), and others (31,5%), who focus on teaching STEM subjects (23,3%), arts (4,1%), business and innovation management (53,4%), social sciences (9,6%) and other disciplines (9,6%). Academic respondents come from France, Finland, Hungary, Switzerland, Italy, etc.
Industry respondents mostly work on B2B markets (73,2%), 35,7% work on B2C markets and 16,1% on others. Industry represents companies from Wales, France, Canada, Ireland, Lithuania, Germany, etc. The following sectors are most common among respondents: Commercial & Professional Services (12,5%), Software, telecommunication, and services (10,6%), Transportation and Automobiles (8,9%), and etc.
To control for possible common method bias, we implemented Harman’s single factor test (Podsakoff and Organ, 1986).
Conclusions, Expected Outcomes or FindingsArts-driven competence model represents three outer layers of competencies (intra and interpersonal competency; innovative problem solving embracing unconventional thinking styles; and emotional and innovative cognition competency embracing artistic skills), which consist of 8 inner layers of competencies built on the skill set of 34 STEAM skills. This theory and data-based model is believed to be essential for developing skills for innovation professionals and entrepreneurs aiming at achieving competitive advantage in product, process, and service innovation and at mastering the challenges of digitalization and sustainability.
Theory based Arts-driven competence model added new layers on top of traditional STEM skills for innovation professionals, managers, and entrepreneurs such as artistic skills, soft skills and unconventional thinking skills supporting better creativity on individual and organizational levels.
ReferencesDabrowska, J. and Podmetina, D. (2017), “Roles and responsibilities of open innovation specialists based on analysis of job advertisements”, Journal of Innovation Management, Vol. 5 No. 4, pp. 103–129, doi: 10.24840/2183-0606_005.004_0007.
Chiarello, F., Fantoni, G., Hogarth, T., Giordano, V., Baltina, L. and Spada, I. (2021), “Towards ESCO 4.0 – Is the European classification of skills in line with Industry 4.0? A text mining approach”, Technological Forecasting and Social Change, Vol. 173, p. 121177, doi: 10.1016/j.techfore.2021.121177.
Kim, D. and Lee, C.-Y. (2022), “R&D employee training, the stock of technological knowledge, and R&D productivity”, R&D Management, Vol. 52 No. 5, pp. 801–819, doi: 10.1111/radm.12521.
Membrillo-Hernández, J., de Jesús Ramírez-Cadena, M., Ramírez-Medrano, A., García-Castelán, R.M.G. and García-García, R. (2021), “Implementation of the challenge-based learning approach in Academic Engineering Programs”, International Journal on Interactive Design and Manufacturing (IJIDeM), Vol. 15 No. 2, pp. 287–298, doi: 10.1007/s12008-021-00755-3.
Dobson, S. and Walmsley, B. (2021), “Fail fast, fail often…but don’t fail this course! Business and enterprise education through the lens of theatre and the creative arts”, Industry and Higher Education, Vol. 35 No. 4, pp. 336–346, doi:10.1177/0950422220955071.
Schleicher, A. (2018), “Educating Learners for Their Future, Not Our Past”, ECNU Review of Education, Vol. 1 No. 1, pp. 58–75, doi: 10.30926/ecnuroe2018010104.
Von Thienen, J., Meinel, C. and Nicolai, C. (2014), “How Design Thinking Tools Help To Solve Wicked Problems”, in Leifer, L., Plattner, H. and Meinel, C. (Eds.), Design Thinking Research, Springer International Publishing, Cham, pp. 97–102, doi: 10.1007/978-3-319-01303-9_7.
Chien, Y.-H. and Chu, P.-Y. (2018), “The Different Learning Outcomes of High School and College Students on a 3D-Printing STEAM Engineering Design Curriculum”, International Journal of Science and Mathematics Education, Vol. 16 No. 6, pp. 1047–1064, doi: 10.1007/s10763-017-9832-4.
Conde-González, M.Á., Rodríguez‐Sedano, F.J., Fernández‐Llamas, C., Gonçalves, J., Lima, J. and García‐Peñalvo, F.J. (2021), “Fostering STEAM through challenge-based learning, robotics, and physical devices: A systematic mapping literature review”, Computer Applications in Engineering Education, Vol. 29 No. n/a, pp. 46–65, doi: https://doi.org/10.1002/cae.22354.
Bureau, S. (2019), “Art Thinking: A Method for Creating the Improbable with Certainty”, Entreprendre Innover, Vol. No 42-43 No. 3, pp. 88–103.
Jacobs, J. (2018), “Intersections in Design Thinking and Art Thinking: Towards Interdisciplinary Innovation”, Creativity. Theories – Research - Applications, Vol. 5 No. 1, pp. 4–25, doi: 10.1515/ctra-2018-0001.
Robbins, P. (2018), “From design thinking to art thinking with an open innovation perspective—A case study of how art thinking rescued a cultural institution in Dublin”, Journal of Open Innovation: Technology, Market, and Complexity, Multidisciplinary Digital Publishing Institute, Vol. 4 No. 4, p. 57.
22. Research in Higher Education
Paper
“Make the Cut”: Investigating Undergraduates’ Motives for Pursuing a Graduate Degree at a “Double First-Class” University in China
Xiaohan Wang1, Shenji Zhou2
1Insititute of Education, Tsinghua University, Beijing, China; 2Faculty of Education, Beijing Normal University, Beijing, China
Presenting Author: Wang, Xiaohan;
Zhou, Shenji
The rising popularity of higher education has consequently incentivized undergraduates to pursue advanced degrees. From the perspective of Homo economicus, which considers the decisions of undergraduates to be rational and calculative to maximize personal utility, research indicate that students pursue advanced degrees to mitigate the growing uncertainty associated with employment amidst the expansion of higher education (Wright & Horta, 2018). On the contrary, however, the labor market indicates that students have a hazy perception of the degree's direct, immediate, or transferable value concerning employment (Tomlinson, 2008). Therefore, aside from economically modeling the decision of students to pursue degrees, it is critical to investigate students' subjective perspectives on the matter.
The proliferation of bachelor’s degrees has made it more difficult for Chinese students to meet the quota for admission to master's programs. In line with trends observed in other educational systems, Chinese students associate the pursuit of graduate degrees with not only the anticipation of favorable labor market prospects, but also with positive self- and social assessments (e.g., parental approbation). The multifaceted motivates that drive Chinese students to pursue advanced degrees manifest in a variety of feelings and conduct throughout their undergraduate studies. Particularly for those undergraduates already attending elite universities who exert effort to remain competitive with the elites, the pursuit of a master’s degree becomes a more or less obligatory choice, which induces anxiety, perplexity and involution (Zhu, 2021).
The purpose of this research is to investigate the relationship between the motives of undergraduates and their learning attitudes. Specifically, this study aims to: (1) identify the types of motives that drive Chinese undergraduates to pursue a graduate degree through the use of a person-centered approach; (2) detect how members of different motive types vary in terms of involution involvement, peace of mind, and academic burnout; and (3) compare the findings of this study with those of other countries regarding motives for academic pursuits and analyze the impact of different cultures on motivation.
The underlying theoretical framework employed in this study is Self-Determination Theory (SDT). Motives are conceptualized as a multidimensional construct within SDT, in which various motive types are categorized along a continuum according to the extent to which they are internalized, namely, internal motives, identified motives, introjected motives, and external motives (Deci and Ryan, 2000). Both introjected and external motives are considered controlled motives since they both motivate behavior through the imposition of demands or pressures. Additionally, identified and internal motives are regarded as autonomous motivations. In theory, being motivated by control would end in undesirable consequences, whereas being motivated by autonomy is expected to produce favorable outcomes. Senko et al. (2023) have recently broadened the classification of SDT to encompass nine distinct motives, namely: enjoyment, personal development, other’s development, personal pride, personal shame, others’ pride, others’ shame, social reward, and social punishment. A model of the nine motives can more accurately characterize the motives of undergraduates who are pursuing a graduate degree.
Methodology, Methods, Research Instruments or Sources UsedThe present study employed quantitative methods. It involved the participation of 410 undergraduate students enrolled at N University in mainland China during the spring semester of 2023. N University is a participant in China’s “Double-First-Class” (i.e., first-class universities and disciplines of the world) university program, which aims to enhance the international competitiveness and reputation of Chinese higher education by establishing exemplary universities. Thus, the sample represents, to a significant degree, the elite undergraduate cohort in China.
Four already-established scales were modified in our study to assess the following: students’ motives to pursue a graduate degree (Senko et al, 2023), peace of mind (Lee et al,2013), academic burnout (Väisänen et al, 2018; Heikkilä et al, 2012), and involution involvement (Yi et al., 2022). Each instrument underwent validity and reliability testing.
The statistical analyses were conducted using Mplus 8 and SPSS 26. The analysis procedure delineated adheres to the protocols specified by Muthén and Asparouhov (2014) and consists of three parts. First, motive types for pursuing graduate degrees were identified using Latent Profile Analysis (LPA). The statistical analyses were conducted using Mplus 8 and SPSS 26. The analysis procedure delineated adheres to the protocols specified by Muthén and Asparouhov (2014) and consists of three parts. First, motive types for pursuing graduate degrees were identified using Latent Profile Analysis (LPA) profiles. Second, the most likely membership was determined by the estimated probability that an individual has of being a member of each profile. Third, concerning profile memberships, the study outcomes were estimated, taking into account the classification error rate and the most likely membership. To detect differences in the means of outcomes across motive types, the present study employed the BCH method, which is favored for dealing with continuous outcomes (Asparouhov & Muthén, 2014), for examining the heterogeneity of various types involution involvement, academic fatigue, and peace of mind.
Conclusions, Expected Outcomes or FindingsFirst, according to the estimated probability that each individual belongs to each profile, the model fits the data most accurately when there are four profiles. We classified the profiles into the following categories based on their characteristics: High motive (22.0%), Mid-high motive (42.0%), Mid-low motive (29.5%), and Low motive (6.6%). Every one of the four motive types was most concerned with their personal development. This finding aligns with the research conducted by Jung and Li (2019) in Hong Kong. Thus, students who pursue a master's degree do so with the intention of personal growth through the enjoyment of the learning process, and many also anticipate that earning the degree will provide them with a competitive edge in the job market. Nevertheless, students were also found to have high levels of controlled motive (particularly introjected motive) in both the High motive and Mid-high motive categories. This response corresponds to research indicating that academic achievement in Asian Confucian cultures is significantly more influenced by social forces, including familial forces, than in the majority of other cultural groups (Woo et al., 2004).
Second, this research offers empirical evidence to substantiate insights regarding the imaginings of elite university students regarding graduate degrees. Students’ current undergraduate learning styles have been shaped by their academic pursuit and imagination: When students possess excessive motivation, particularly when that motivation is controlled, they demonstrate less conducive learning mindsets and actions. This is evident in their diminished peace of mind, increased academic burnout, and increased involvement in involution. It echoes the metaphor of “excellent sheep” by Deresiewicz, which describes the oppressive desire for success and accomplishment. When students' overall motivation is lacking, it is indicative of their “foxi” state; however, this state is prone to manifest as a passive and unproductive decision-making process under pressure.
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Jung, J. , & Lee, S. J. . (2019). Exploring the factors of pursuing a master's degree in south korea. Higher Education.
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Lee, Y. C., Lin, Y. C., Huang, C. L., & Fredrickson, B. L. (2013). The construct and measurement of peace of mind. Journal of Happiness Studies, 14, 571-590.
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Mingzhu, W. , Yue, L. , Nan, Z. , & Hong, Z. . (2019). Chinese fathers' emotion socialization profiles and adolescents' emotion regulation. Personality & Individual Differences, 137, 33-38.
Senko, C. , Liem, G. A. D. , Lerdpornkulrat, T. , & Poondej, C. . (2023). Why do students strive to outperform classmates? unpacking their reasons for pursuing performance goals. Contemporary Educational Psychology.
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Väisänen, S., Pietarinen, J., Pyhältö, K., Toom, A., & Soini, T. (2018). Student teachers’ proactive strategies for avoiding study-related burnout during teacher education. European Journal of Teacher Education, 41(3), 301-317.
Wang, L. F., & Heppner, P. P. (2002). Assessing the impact of parental expectations and psychological distress on Taiwanese college students. The Counseling Psychologist, 30(4), 582-608.
Yi, D., Wu, J., Zhang, M., Zeng, Q., Wang, J., Liang, J., & Cai, Y. (2022). Does Involution Cause Anxiety? An Empirical Study from Chinese Universities. International Journal of Environmental Research and Public Health, 19(16), 9826.
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