Gender structure of the sample
Extended experience and knowledge need creativity as a third component to create a base for any innovative endeavour or advancement. Transdisciplinary approach and an opening for creative integration of the information are crucial in any educational endeavour. This paper reports correlation analyses performed on the results of a quantitative and qualitative study based on five dimensions (creativity components, personal, interpersonal, equipment and conjectural), aiming to determine the incentive and inhibitor factors of creativity in the activity of the engineering student work groups. Strong liaison between creativity components and personal, alternate experiences were detected, while inertial approaches in learning and dependence to guidance and equipment were identified as deterring creativity.
- Innovative thinking
- correlation analyse
- creative integration
The modern society needs specialists that can undertake non-standard decisions and actions in solving technical and economic problems. Above strict and rather narrow qualification stands the social need for persons to be able to enrol high-tech solution for accomplishment of human needs, under various social, cultural and feasibility constraints.
An assessment presented in 2007 by the Institute of Directors  grouped the skills and qualities that employers seek as items in four sets: employability, people, social and personal qualities.
In the employability set, creative and innovative thinking was considered quite important by 51% and very important by 40% of employer respondents, after advanced oral communication skills, appreciated as quite important by 46% and very important by 42% of the employers. Decision-making skills received, correspondingly 51 and 38%, while problem-solving skills were considered quite important by 37% and very important by 59% of the employers, positioned on the third place after ability to meet deadlines (29 and 60%, correspondingly) and attention to detail (34 and 61%). As it appears, half of the employers appreciate creativity, in strong liason with problem solving.
A recent survey conducted by the Millennial Branding  reveals that, in the engineering fields, effective communication skills are crucial to success. The second soft skill found crucial in an engineer’s career is creativity, defined as the driving force behind innovation and increasingly gaining recognition as the new capital in the actual economic conditions. As a consequence, creativity should be treated like a skill that needs to be identified, cultivated and trained. One effective way to do that is to foster a creative culture during the educational process and many authors propose some turning keys to develop a culture for innovation and creativity .
In conclusion, extended experience and knowledge need creativity as a third component to create a base for any innovative endeavour or advancement.
2. Triggers of the innovation
Although creativity can be considered as extremely subjective, its main output, the innovation is strictly monitored and considered an important indicator of progress and development. In general, the innovation is distinctly defined as technological and non-technological innovation. An insight at the innovation would lead to very pragmatic results and conclusions, all linked to the internal mechanism of the enterprise and its economic status. Behind the drivers and goals of the innovations resides the creative thinking and the capacity to access and correlate holistic information regarding the economical units, its competitors, social and economic environment. This can be done only with a transdisciplinary approach and an opening for creative integration of the information.
The primary driver of the innovation is the improvement of the quality of goods and services and the second is the increasing of the range of goods and services . In 2012, approximately 40% of the enterprises in EU-27 were found technologically innovative and over 42% reported non-technological innovation. New methods of organising work responsibilities and decision making were the leading innovation in 20 countries, followed by new business practices and reorganisation of external relations. Enterprises more often are motivated to reduce the reaction time to customers’ needs or by the need to improve the communication and sharing together with the ability to develop new products or processes.
In Romania, the innovative enterprises attained last year 20.7%, with the types of innovation described in Figure 1. In Europe, in general, among the triggers of change, the increase in turnover seems the most important, as described in Figure 2.
Starting with creative teams established in the 1970s in France, nowadays is more and more obvious that lonely thinkers who produce relevant contributions to science and technology, even if extremely talented, are
Even though student creative teams are not easy to establish and sustain, they follow the same group rules as enterprise or any real-world research teams and can provide the precious output of experience and innovation: small groups of people linked by trust thrive on the associative functioning. This concept is underused in Romanian polytechnic universities, which suffer from scarce financing, lack of efficient policies regarding the research quality management and are rather rigid regarding the new pedagogy behind a learning context where temporary “chaos” of questioning and doubting is encouraged and evaluation rules change. Naturally, one might imagine the extent of the outcome of more flexible education methods, where personal experience is mostly considered and personal point of view encouraged. It is characteristic for technical and applied sciences domains the validation and augmentation of one’s personal point of view in a group or peers. Student groups are one of the closest approaches to the real world of engineering, but still, they are far from being used in teaching and examination due to the ill-functioning bridging with the so-called objective evaluation. On-going standardised testing is restraining the ability to see and present reality from different angles. Even so, each and every one reports learning and education, in general, as a personalised experience, the resulting knowledge being always the integration of the “standard academic package” in own frame of beliefs and practical experience.
Technological innovation is strongly connected with creative approach to practical problems. The methods to nurture technological creativity were described by G.S. Altschuller in the so-called Theory of the Solution of Inventive Problems (original TRIZ) with the related Algorithm of Solution of Inventive Problems (original ARIZ) , but the steps approached there do not fully apply for students groups enrolled in a creative quest. The students in creative groups need to learn to organise their work and the methods of research in technology and engineering. Also, the motivations are different and instable and conduct to absenteeism or discouraging attitudes and drop-out. The leaking pipe phenomenon depletes the initial enthusiastic groups of students of those who lack proper motivation, despite their aptitudes for investigation and knowledge.
This paper is the result of a research aiming to find the triggers for creative thinking in groups of engineering students. This study came as a need to identify ways to stimulate students to succeed during preparation of their final exams and thesis, enhancing their ability to produce original work. In fact, as Sir Ken Robinson emphasised, “…everyone has huge creative capacities as a natural result of being a human being. The challenge is to develop them. A culture of creativity has to involve everybody not just a select few” .
4. The method
This paper reports correlation analyses performed on the results of a quantitative and qualitative study, aiming to determine the incentive and inhibitor factors of creativity in the activity of the engineering student work groups.
4.1. Study set-up
The following groups of items (dimensions) were considered: creativity components, personal, interpersonal, equipment and conjectural. The creativity components acknowledged for this study were: the interest for paradox, curiosity, originality, the ability to question and doubt, fantasy, the ability to make associations, conceptual representation, intuition, aesthetic perception, willingness to take risks and openness. They were appreciated for each student by the supervisor of the student groups and correlated with other components of the dimensions. As research instruments a questionnaire and semi-structured interviews, enhanced with direct observations, were used. Supervisor, sophomore students and master students enrolled at Mechanical Engineering Faculty from Ovidius University filled in the multi-item questionnaire and their answers were registered in a data base for further analysis. The response rate was 93.5%, with an error of 4.3%.
Sampling parameters for the respondents are presented in Tables 1 and 2. It is obvious the majority of urban respondents (69,64%) and the gender asymmetry of the group (56,25% male and 43,75% female respondents). The age of the respondents was not a criterion, as all of the students were in the 20–25 years old group.
The supervisor and the student surveys aimed to capture the levels of intensity for each response. The student questionnaire aimed to capture the amount of agreement or disagreement on a six-point Likert scale. An even Likert scale intensity ranking was preferred to enforce clear delimitation of the responses. The survey was built on the dimensions presented in Table 3:
|The interest for paradox, curiosity||Existence of role model(s)||Supervisor support||Quality of the research equipment||Mission clarity|
|Originality||Existence of a mentor in any filed||Team members support||Research premises||Balanced tasks|
|The ability to question and doubt||Experience in crafting, manufacturing, repairing things||Communication||Access to information||Visibility of the results|
|Fantasy||Theoretical/ scientific knowledge on specific subject||Challenging team||Support to access materials, consumables or special equipment||Organization risk policy|
|The ability to make associations||Theoretical/ scientific knowledge on alterne subjects||Team cohesion||Any kind of benefit, rewarding|
|Conceptual representation||Sport, dancing, scenic movement experience (hobby)||Degree of individual freedom within the team||Future usage/ applicability of the work|
|Intuition||Musical and visual art experience (hobby)||Personal contribution recognition|
|Aesthetic perception||Literature/ poetry experience (hobby)|
|Openness||Awareness of personal development goals|
|Not being afraid to take risks||Awareness of professional goals|
|Awareness of personal social goals and achievements|
|Ability to stand-up/ have own say|
Additional data acquired from the interviews and design practical activities were used by the supervisor to characterise each student creativity components, as listed in the first column of Table 3. Each group of students were supervised during a semester. At the end, students were interviewed with concern to the survey dimensions.
Each group of students was formed by the students themselves, based on affinities to each other and to the design mission. The design mission was formulated by each group, from the prerequisite research and real needs in specific engineering domain. All the initial design themes were presented in front of four large groups, commented and selected by the students, voting the importance, relevance and attractiveness. Around the design themes portfolio, the student groups were formed and the mission statements were defined. A project calendar was set and compulsory deadlines and milestones were agreed between the members of each group.
Correlation analysis was performed in order to track down any connection between the creativity components with personal, interpersonal, conjectural and endowments set of items. As such, motivating factors and barriers in expressing one’s creativity were identified, at the level of the group studied.
5. Data analysis
The median values for the answers regarding interpersonal, were rather high in what concerns the supervisor role (
The own contribution recognition reached high scores, and shows a delicate balance between the team-work values and personal contribution delimitation, often source for abandoning the project or rejection of critics.
|Team members support||4.35|
|Degree of individual freedom within the team||2.8|
|Personal contribution recognition||4.6|
Conjectural dimension scores are shown in Table 5 and reveal that respondents do not link the creative endeavour to its immediate applicability, while balanced tasks, clear mission received high scores. In our opinion this might reveal a dependence on clear, standardised framework, schematic thinking, which might stand against creative approach. An interesting low received organisational risk policy shows that the students do not necessary link this component to the creativity-simulative environment.
|Visibility of the results||4.35|
|Organization risk policy||2.65|
|Any kind of benefit, rewarding||5.27|
|Future usage/ applicability of the work||2.23|
Equipment components were recognised as very important, with high scores, showing one more time that the students are reliant on material support for creative design, in spite of conceptualisation and initiative (Table 6).
|Quality of the research equipment||4.43|
|Access to information||5.65|
|Support to access materials, consumables or special equipment||4.85|
In what concerns the creativity components, they were strongly correlated with the personal experience, in the first place, followed by interpersonal and conjectural components. The ability to question and doubt was correlated (
The correlations revealed a strong liaison between creativity components showed during student group work sessions and personal, alternate experiences. This might bring, once more, the need of more flexible curriculum, where students should be able to benefit from alternative activities.
Even sophomore students and master students are strongly dependent on directions given by tutors or supervisors, and hesitate to challenge them. One of the issues in student’s creative groups is the balance between the creative thinking and critical thinking within the group. The tension created at the frontier of those two is the source for advancement in solving inventive problems. Due to the lack of information on the objectives of the groups, as a whole, the critical thinking is not paid enough attention in common educational approaches and is often perceived as destructive when applied during group meetings. Overall, good communication within the team and team support were appreciated as very important but few interviewees knew how they could be accomplished. The need for efficient communication strategies activities in the curriculum might fill-in this obvious gap.
The students supervised during this research seem to perceive creative effort as a supplementary one, somehow extracurricular, and rather few of them engage voluntarily in creative endeavours. Even if most of them agree that creativity is important, and recognise the intrinsic value creativity brings to artefacts and technologies, they are, at the beginning, reluctant to manifest components of creativity, and remain attached, for learning, expressing their contribution and examination, to standardised engineering calculus described step-by-step in design guides. This inertia is identified as an important barrier in learning with and for creativity and origins much far backwards in the education flowline. In exchange, they perceive up-to-date lab endowments as crucial for a creative design.
A general conclusion of this study is that flexible thinking, autonomous thinking and self-criticism are the key creativity components that need to be paid special attention to in technical, scientific higher education.
IOD (n.d.). Multiple, Retrieved March 10, 2016 from http://aces.shu.ac.uk/employability/resources/policy_paper_graduates_employability_skills.pdf.
Millenial Branding (May 14, 2012). Schawbel, Dan, Retrieved April 15, 2016, from http://millennialbranding.com/2012/millennial-branding-student-employment-gap-study/.
Linkner, J. (2011, June 16). 7 Steps to a Culture of Innovation. Retrieved August 2012, from INC: http://www.inc.com/articles/201106/josh-linkner-7-steps-to-a-culture-of-innovation.html
EUROSTAT (2012). Science, Technology. Luxembourg: Publications Office of the European Union.
EUROSTAT (2015, January). Innovation Statistics. Retrieved April 25, 2016, from Eurostat: http://ec.europa.eu/eurostat/statistics-explained/index.php/Innovation_statistics#Methods_for_maintaining_or_increasing_the_competitiveness_for_product_and_process_innovations
Alʹtshuller, G.S., Shulyak, L., Roman, S. (1999). The Innovation Algorithm: TRIZ, Systematic Innovation and Technical Creativity. Massachusetts, USA: Technical Innovation Center. 311p.
Robinson, K. (2011). Out of Our Minds: Learning to be Creative. 2nd Edition, Capstone Publishers, Westford, MA, United States, 352p.