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Computer Science and Information Technology Students’ Self-regulated Learning and Knowledge Sharing Behavior as Drivers of Individual Innovative Behavior

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Software Engineering and Algorithms (CSOC 2021)

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Abstract

Computer Science (CS), Information Technology (IT) and Information Systems (IS) students’ Self-Regulated Learning (SRL) and Knowledge Sharing Behavior (KSB), together with the Course Design Characteristics (CDCs) implemented in their programs, could act as drivers to facilitate the development of their Individual Innovative Behavior (IIB). A Structural Equation Model (SEM) was therefore constructed to establish the mediating effect of KSB on the individual and contextual antecedents for the development of these students’ IIB.

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References

  1. Salmi, J.: Peril and promise: a decade later. Int. J. Afr. High. Educ. 3(1), 43–50 (2016)

    Google Scholar 

  2. Goosen, L.: Students’ access to an ICT4D MOOC. In: Proceedings of the 47th Annual Conference of the Southern African Computer Lectures' Association (SACLA 2018), Cape Town (2018)

    Google Scholar 

  3. Chen, A., Li, L., Li, X., Zhang, J., Dong, L.: Study on innovation capability of college students based on extenics and theory of creativity. Procedia Comput. Sci. 17, 1194–1201 (2013)

    Article  Google Scholar 

  4. Whetten, D.A.: Principles of effective course design: what I wish I had known about learning-centred teaching 30 years ago. J. Manag. Educ. 31(3), 339–357 (2007)

    Article  Google Scholar 

  5. Maritz, A., De Waal, A., Buse, S., Herstatt, C., Lassen, A., Maclachlan, R.: Innovation education programs: toward a conceptual framework. Eur. J. Innov. Manag. 17(2), 166–182 (2014)

    Article  Google Scholar 

  6. Ngugi, J., Goosen, L.: The effects of course design characteristics, self-regulated learning and knowledge sharing in facilitating the development of innovative behaviour among technology students at universities. In: Proceedings of the Institute of Science and Technology Education (ISTE) Conference on Mathematics, Science and Technology Education, Mopani Camp, Kruger National Park (2017)

    Google Scholar 

  7. Ngugi, J., Goosen, L.: Modelling course-design characteristics, self-regulated learning and the mediating effect of knowledge-sharing behavior as drivers of individual innovative behavior. EURASIA J. Math. Sci. Technol. Educ. 14(8), em1575 (2018)

    Google Scholar 

  8. Ngugi, J., Goosen, L.: Towards smart innovation for information systems and technology students: modelling motivation, metacognition and affective aspects of learning. In: Rocha, Á., Serrhini, M. (eds.) EMENA-ISTL 2018. SIST, vol. 111, pp. 90–99. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-03577-8_11

    Chapter  Google Scholar 

  9. Ngugi, J.K., Goosen, L.: Knowledge sharing mediating information technology student innovation. In: Khosrow-Pour, M. (ed.) Handbook of Research on Modern Educational Technologies, Applications, and Management, vol. II, pp. 645–663. IGI Global, Hershey (2021)

    Google Scholar 

  10. Goosen, L., Ngugi, J.K.: Rethinking teaching and learning in the 21st century: course design characteristics towards innovative behavior. In: Proceedings of the South Africa International Conference on Education, Pretoria (2018)

    Google Scholar 

  11. Goosen, L., Ngugi, J.K.: Innovation for computing students matter, of course! In: Proceedings of 48th Annual Conference of the Southern African Computer Lecturers’ Association (SACLA 2019), Northern Drakensberg, South Africa (2019)

    Google Scholar 

  12. Goosen, L., Ngugi, J.K.: Towards innovative behaviour for technology students. In: Proceedings of the 10th Institute of Science and Technology Education (ISTE) International Conference on Mathematics, Science and Technology Education, Mopani Camp, Kruger National Park (2019)

    Google Scholar 

  13. Janssen, O., Van de Vliert, E., West, M.: The bright and dark sides of individual and group innovation: a special issue introduction. J. Organ. Behav. 25(2), 129–145 (2004)

    Article  Google Scholar 

  14. Dwivedula, R., Bredillet, C.N., Müller, R.: Work motivation in temporary organizations: a review of literature grounded in job design perspective. In: Benlamri, R., Sparer, M. (eds.) Leadership, Innovation and Entrepreneurship as Driving Forces of the Global Economy. SPBE, pp. 609–618. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-43434-6_52

    Chapter  Google Scholar 

  15. Holman, D., et al.: Job design and the employee innovation process: the mediating role of learning strategies. J. Bus. Psychol. 27(2), 177–191 (2012)

    Article  Google Scholar 

  16. Oldham, G.R., Fried, Y.: Job design research and theory: past, present and future. Organ. Behav. Hum. Decis. Process. 136, 20–35 (2016)

    Article  Google Scholar 

  17. Parker, S.K., Zhang, F.: Designing work that works in the contemporary world: future directions for job design research. In: Shimazu, A., Bin Nordin, R., Dollard, M., Oakman, J. (eds.) Psychosocial Factors at Work in the Asia Pacific, pp. 135–150. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-44400-0_7

    Chapter  Google Scholar 

  18. Barrick, M.R., Mount, M.K., Li, N.: The theory of purposeful work behaviour: the role of personality, higher-order goals, and job characteristics. Acad. Manag. Rev. 38(1), 132–153 (2013)

    Article  Google Scholar 

  19. Hofmans, J., Gelens, J., Theuns, P.: Enjoyment as a mediator in the relationship between task characteristics and work effort: an experience sampling study. Eur. J. Work Organ. Psychol. 23(5), 693–705 (2014)

    Article  Google Scholar 

  20. Li, Y., Yuan, X., Che, R.: An investigation of task characteristics and users’ evaluation of interaction design in different online health information systems. Inf. Process. Manag. 58(3), 102476 (2021)

    Article  Google Scholar 

  21. Langfred, C.W., Rockmann, K.W.: The push and pull of autonomy: the tension between individual autonomy and organizational control in knowledge work. Group Org. Manag. 41(5), 629–657 (2016)

    Article  Google Scholar 

  22. De Spiegelaere, S., Van Gyes, G., De Witte, H., Niesen, W., Van Hootegem, G.: On the relation of job insecurity, job autonomy, innovative work behaviour and the mediating effect of work engagement. Creativity Innov. Manag. 23(3), 318–330 (2014)

    Article  Google Scholar 

  23. Giebels, E., De Reuver, R.S., Rispens, S., Ufkes, E.G.: The critical roles of task conflict and job autonomy in the relationship between proactive personalities and innovative employee behavior. J. Appl. Behav. Sci. 52(3), 320–341 (2016)

    Article  Google Scholar 

  24. Whetten, D.A., Johnson, T.D., Sorenson, D.L.: Learning-centered course design. In: The SAGE Handbook of Management Learning, Education and Development, pp. 255–270. SAGE, Thoasand Oaks (2009)

    Google Scholar 

  25. Tarasewich, P., Nair, S.K.: Course design using instructor and student preferences. J. Bus. Econ. Stud. 6(2), 40–54 (2000)

    Google Scholar 

  26. Ajibola, S., Goosen, L.: Development of heuristics for usability evaluation of M-commerce applications. In: Proceedings of the South African Institute of Computer Scientists and Information Technologists (SAICSIT), Thaba Nchu, South Africa (2017)

    Google Scholar 

  27. Kör, B., Wakkee, I., van der Sijde, P.: How to promote managers’ innovative behavior at work: individual factors and perceptions. Technovation. 99, 102127 (2021)

    Article  Google Scholar 

  28. Zaltman, G., Duncan, R., Holbek, J.: Innovations and Organizations. Wiley, New York (1973)

    Google Scholar 

  29. Liu, A., Hodgson, G., Lord, W.: Innovation in construction education: the role of culture in e-learning. Archit. Eng. Des. Manag. 6(2), 91–102 (2010)

    Google Scholar 

  30. Heukamp, F.: Developing entrepreneurship capabilities in the MBA program. In: Canals, J. (ed.) Shaping Entrepreneurial Mindsets: Innovation and Entrepreneurship in Leadership Development, pp. 203–219. Palgrave Macmillan, London (2015)

    Google Scholar 

  31. Bolton, A.D., Goosen, L., Kritzinger, E.: Unified communication technologies at a global automotive organization. In: Khosrow-Pour, M. (ed.) Encyclopedia of Organizational Knowledge, Administration, and Technologies, pp. 2592–2608. IGI Global, Hershey (2021)

    Google Scholar 

  32. Shanker, R., Bhanugopan, R., van der Heijden, B.I.J.M., Farrell, M.: Organizational climate for innovation and organizational performance: the mediating effect of innovative work behavior. J. Vocat. Behav. 100, 67–77 (2017)

    Article  Google Scholar 

  33. Trošt, J.K., Škerlavaj, M.: Should our heart rule our head? Team innovation through intuition and rationality. In: Capitalizing on Creativity at Work: Fostering the Implementation of Creative Ideas in Organizations, pp. 64–75. Edward Elgar Publishing, Cheltenham (2016)

    Google Scholar 

  34. Škerlavaj, M., Dysvik, A., Černe, M., Carlsen, A.: Succeeding with capitalizing on creativity: an integrative framework. In: Capitalizing on Creativity at Work: Fostering the Implementation of Creative Ideas in Organizations, pp. 335–352. Edward Elgar Publishing Ltd., Cheltenham (2016)

    Google Scholar 

  35. Zhang, X., Bartol, K.M.: Linking empowering leadership and employee creativity: the influence of psychological empowerment, intrinsic motivation, and creative process engagement. Acad. Manag. J. 53, 107–128 (2010)

    Article  Google Scholar 

  36. Sethibe, T., Steyn, R.: The impact of leadership styles and the components of leadership styles on innovative behaviour. Int. J. Innov. Manag. 21(2), 1–19 (2017)

    Article  Google Scholar 

  37. Gkorezis, P.: Principal empowering leadership and teacher innovative behaviour: a moderated mediation model. Int. J. Educ. Manag. 30(6), 1030–1044 (2016)

    Article  Google Scholar 

  38. Goosen, L.: Technology-supported teaching and research methods for educators: case study of a massive open online course. In: Makewa, L., Ngussa, B., Kuboja, J. (eds.) Technology-Supported Teaching and Research Methods for Educators, pp. 128–148. IGI Global, Hershey (2019)

    Google Scholar 

  39. Hakimian, F., Farid, H., Ismail, M.N., Nair, P.K.: Importance of commitment in encouraging employees’ innovative behaviour. Asia-Pac. J. Bus. Adm. 8(1), 70–83 (2016)

    Google Scholar 

  40. Messmann, G.: Innovative work behaviour: Investigating the nature and facilitation of vocational teachers’ contributions to innovation development. Unpublished Doctoral dissertation. Universität Regensburg, Regensburg (2012)

    Google Scholar 

  41. Sawan, F.: Impact of organizational culture on knowledge sharing behavior. In: 4th International Conference on Research of Educational Administration and Management (ICREAM 2020) (2021)

    Google Scholar 

  42. Keshavarz, H.: Personality factors and knowledge sharing behavior in information services: the mediating role of information literacy competencies. VINE J. Inf. Knowl. Manag. Syst. (2021)

    Google Scholar 

  43. Talebizadeh, S.M., Hosseingholizadeh, R., Bellibaş, M.Ş: Analyzing the relationship between principals’ learning-centered leadership and teacher professional learning: The mediation role of trust and knowledge sharing behavior. Stud. Educ. Eval. 68, 100970 (2021)

    Article  Google Scholar 

  44. Vorster, J., Goosen, L.: A framework for university partnerships promoting continued support of e-Schools. In: Proceedings of the 46th Annual Conference of the Southern African Computer Lecturers’ Association (SACLA 2017), Magaliesburg (2017)

    Google Scholar 

  45. Asghar, A., Naveed, M.A.: Psychometric evaluation of knowledge sharing behavior scale in academic environment. Libr. Philos. Pract. (e-journal) (2021)

    Google Scholar 

  46. Seo, H.M., Kim, M.C., Chang, K., Kim, T.: Influence of interpersonal trust on innovative behaviour of service workers: mediating effects of knowledge sharing. Int. J. Innov. Manag. 20(2), 1–21 (2016)

    Article  Google Scholar 

  47. Nerstad, C.G., Searle, R., Černe, M., Dysvik, A., Škerlavaj, M., Scherer, R.: Perceived mastery climate, felt trust, and knowledge sharing. J. Organ. Behav. 39(4), 429–447 (2018)

    Article  Google Scholar 

  48. Shahsiah, N., Sepahvand, R.: Studying the mediating role of knowledge sharing and market orientation to enhance the intellectual capital effect on the organizational innovation (Supervision of Insurance Companies in Lorestan Province). Int. Bus. Manag. 10(20), 4776–4782 (2016)

    Google Scholar 

  49. Bartol, K.M., Srivastava, A.: Encouraging knowledge sharing: the role of organizational reward systems. J. Leadersh. Organ. Stud. 9(1), 64–76 (2002)

    Article  Google Scholar 

  50. Chiu, C.M., Wang, E.T., Shih, F.J., Fan, Y.W.: Understanding knowledge sharing behaviour in virtual communities: an integration of expectancy disconfirmation and justice theories. Online Inf. Rev. 35(1), 134–153 (2011)

    Article  Google Scholar 

  51. Liou, D.K., Chih, W.H., Yuan, C.Y., Lin, C.Y.: The study of the antecedents of knowledge sharing behaviour: the empirical study of Yambol online test community. Internet Res. 26(4), 845–868 (2016)

    Article  Google Scholar 

  52. Messmann, G.: Innovative work behaviour: investigating the nature and facilitation of vocational teachers' contributions to innovation development. (Unpublished Doctoral dissertation). Universität Regensburg, Regensburg (2012)

    Google Scholar 

  53. Messmann, G., Mulder, R.H.: Innovative work behaviour in vocational colleges: understanding how and why innovations are developed. Vocat. Learn. 4(1), 63–84 (2011)

    Article  Google Scholar 

  54. Roth, A.E.: Knowledge sharing behaviour intentions in wholesale distribution organizations, (Unpublished Doctoral dissertation). Walden University, Minneapolis (2016)

    Google Scholar 

  55. French, R.S., McCarthy, O., Baraitser, P., Wellings, K., Bailey, J.V., Free, C.: Young people’s views and experiences of a mobile phone texting intervention to promote safer sex behavior. JMIR mHealth and uHealth 4(2), e26 (2016)

    Article  Google Scholar 

  56. Laycock, A., Bailie, J., Matthews, V., Bailie, R.: Interactive dissemination: engaging stakeholders in the use of aggregated quality improvement data for system-wide change in Australian indigenous primary health care. Front. Public Health 4, 84 (2016)

    Article  Google Scholar 

  57. Tuti, T., Paton, C., Winters, N.: The counterintuitive self-regulated learning behaviours of healthcare providers from low-income settings. Comput. Educ. 166, 104136 (2021)

    Article  Google Scholar 

  58. Huang, L., Lajoie, S.P.: Process analysis of teachers’ self-regulated learning patterns in technological pedagogical content knowledge development. Comput. Educ. 166, 104169 (2021)

    Article  Google Scholar 

  59. Barak, M.: Motivating self-regulated learning in technology education. Int. J. Technol. Des. Educ. 20(4), 381–401 (2010)

    Article  Google Scholar 

  60. Effeney, G., Carroll, A., Bahr, N.: Self-Regulated Learning: Key strategies and their sources in a sample of adolescent males. Aust. J. Educ. Dev. Psychol. 13, 58–74 (2013)

    Google Scholar 

  61. Hong, J.C., Lee, Y.F., Ye, J.H.: Procrastination predicts online self-regulated learning and online learning ineffectiveness during the coronavirus lockdown. Personality Individ. Differ. 174, 110673 (2021)

    Article  Google Scholar 

  62. Van Heerden, D., Goosen, L.: Students’ perceptions of e-assessment in the context of Covid-19: the case of UNISA. In: Proceedings of the 29th Conference of the Southern African Association for Research in Mathematics, Science and Technology Education (SAARMSTE) (2021)

    Google Scholar 

  63. Aguilar, S.J., Karabenick, S.A., Teasley, S.D., Baek, C.: Associations between learning analytics dashboard exposure and motivation and self-regulated learning. Comput. Educ. 162, 104085 (2021)

    Article  Google Scholar 

  64. Yoon, M., Hill, J., Kim, D.: Designing supports for promoting self-regulated learning in the flipped classroom. J. Comput. High. Educ., 1–21 (2021)

    Google Scholar 

  65. van Alten, D.C., Phielix, C., Janssen, J., Kester, L.: Secondary students’ online self-regulated learning during flipped learning: a latent profile analysis. Comput. Hum. Behav. 118, 106676 (2021)

    Article  Google Scholar 

  66. Won, S., Hensley, L.C., Wolters, C.A.: Brief research report: sense of belonging and academic help-seeking as self-regulated learning. J. Exp. Educ. 89(1), 112–124 (2021)

    Article  Google Scholar 

  67. Wong, J., Baars, M., de Koning, B.B., Paas, F.: Examining the use of prompts to facilitate self-regulated learning in Massive Open Online Courses. Comput. Hum. Behav. 115, 106596 (2021)

    Article  Google Scholar 

  68. Liu, M., Chi, M.: Investigating learner affective performance in web-based learning by using entrepreneurship as a metaphor. Educ. Technol. Soc. 15(3), 202–213 (2012)

    Google Scholar 

  69. Za, S., Spagnoletti, P., North-Samardzic, A.: Organisational learning as an emerging process: the generative role of digital tools in informal learning practices. Br. J. Edu. Technol. 45(6), 1023–1035 (2014)

    Article  Google Scholar 

  70. Petersen, I., Louw, J., Dumont, K.: Adjustment to university and academic performance among disadvantaged students in South Africa. J. Educ. Psychol. 29(1), 99–115 (2009)

    Article  Google Scholar 

  71. Creswell, J.W.: Research Design: Qualitative, Quantitative and Mixed Methods Approaches. SAGE Publications Inc., London (2014)

    Google Scholar 

  72. Cronbach, L.J.: Coefficient alpha and the internal structure of tests. Psychometrika 16(3), 297–334 (1951)

    Article  MATH  Google Scholar 

  73. Mowbray, T., Boyle, C., Jacobs, K.: Impact of item orientation on the structural validity of self-report measures: an investigation using the TAI-G in an Australian sample. J. Psychoeduc. Assess. 33(3), 278–290 (2014)

    Article  Google Scholar 

  74. Boudreau, M.C., Gefen, D., Straub, D.: Validation in information systems research: a state-of-the-art assessment. MIS Q. 25(1), 1–16 (2001)

    Article  Google Scholar 

  75. Goosen, L., Mukasa-Lwanga, T.: Educational technologies in distance education: beyond the horizon with qualitative perspectives. In: Proceedings of the South Africa International Conference on Educational Technologies, Pretoria (2017)

    Google Scholar 

  76. Goosen, L., Van Heerden, D.: Beyond the horizon of learning programming with educational technologies. In: Proceedings of the South Africa International Conference on Educational Technologies, Pretoria (2017)

    Google Scholar 

  77. Newsom, J.T.: Some clarifications and recommendations on fit indices. USP 655, 123–133 (2012)

    Google Scholar 

  78. Hair, J.F., Jr., Anderson, R.E., Tatham, R.L., Black, W.C.: Multivariate Data Analysis, 5th edn. Prentice-Hall, Hoboken (1998)

    Google Scholar 

  79. Hu, L.T., Bentler, P.M.: Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct. Equ. Model. Multidiscip. J. 6(1), 1–55 (1999)

    Article  Google Scholar 

  80. Fuller, C.M., Simmering, M.J., Atinc, G., Atinc, Y., Babin, B.J.: Common methods variance detection in business research. J. Bus. Res. 69(8), 3192–3198 (2016)

    Article  Google Scholar 

  81. Binti Jauhar, J., Abdul Ghani, A.B., Islam, R.: Results and data analysis. In: Binti Jauhar, J., Abdul Ghani, A.B., Islam, R. (eds.) Brain Drain, pp. 127–158. Springer, Singapore (2016). https://doi.org/10.1007/978-981-10-0977-8_5

    Chapter  Google Scholar 

  82. Allison, P.D.: Multiple Regression: A Primer . Pine Forge Press, Thousand Oaks (1999)

    Google Scholar 

  83. Field, A.P.: Discovering Statistics Using SPSS, 2nd edn. Sage Publications, Thousand Oaks (2009)

    MATH  Google Scholar 

  84. Falk, C.F., Biesanz, J.C.: Two cross-platform programs for inferences and interval estimation about indirect effects in mediational models. SAGE Open 6(1), 1–13 (2016)

    Article  Google Scholar 

  85. Shintani, M., Guo, Z.Y.: Improving the finite sample performance of autoregression estimators in dynamic factor models: a bootstrap approach. Economet. Rev. 37(4), 360–379 (2018)

    Article  MathSciNet  Google Scholar 

  86. Republic of Kenya, Universities Act. Kenya Gazette Supplement No. 192 (Acts No. 42). Government Printer, Nairobi (2012)

    Google Scholar 

  87. Uparna, J.: Information diversity and group culture of creativity: a look into the innovation paradigm. Unpublished doctoral dissertation. Rutgers University, New Jersey (2008)

    Google Scholar 

  88. Kahraman, N.: Antecedents and consequences of achievement goals. Ph.D. thesis. Middle East Technical University, Ankara (2011)

    Google Scholar 

  89. Archer, L.B.: Systematic method for designers. In: Cross, N. (ed.) Developments in Design Methodology, pp. 57–82. John Wiley & Sons, Chichester (1984)

    Google Scholar 

  90. Jacobs, E.J., Roodt, G.: The mediating effect of knowledge sharing between organisational culture and turnover intentions of professional nurses. S. Afr. J. Inf. Manag. 13(1), 1–6 (2011)

    Article  Google Scholar 

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Ngugi, J.K., Goosen, L. (2021). Computer Science and Information Technology Students’ Self-regulated Learning and Knowledge Sharing Behavior as Drivers of Individual Innovative Behavior. In: Silhavy, R. (eds) Software Engineering and Algorithms. CSOC 2021. Lecture Notes in Networks and Systems, vol 230. Springer, Cham. https://doi.org/10.1007/978-3-030-77442-4_50

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