Visualisation of Perception of Experiential Activities in Business and Administration and Economy

Authors

  • Rosaura Fernández-Pascual University of Granada
  • Ana Marín Jiménez University of Granada
  • María Pilar Fernández- Sánchez University of Granada

DOI:

https://doi.org/10.54820/MUHF5293

Keywords:

information visualization, term-based method, experiential learning, knowledge, quantitative techniques

Abstract

This paper explores how to incorporate information visualization tools into qualitative studies to represent the underlying structure of knowledge. Information visualization plays a key role in many areas such as decision-making, data mining, market studies, or knowledge management. A case of experiential learning was developed for Quantitative Techniques in Business and Administration and Economy Degrees at the University of Granada, Spain. The goal is to analyze the opinion of students (n = 227) on the development of the activity through information visualization techniques. The gathered information was subjected to a categorization process to unify and homogenize the responses. After a term-clumping process, a co-word analysis using the VosViewer software is used to analyze the relationships among terms and provide the network maps. Results display the main associations and clusters of terms used when assessing the experiential activity, using qualitative techniques. In conclusion, the strengths of data visualization enabling a better understanding of data for qualitative studies are established.

References

Association to Advance Collegiate Schools of Business (AACSB) (2020), “Eligibility Procedures and Accreditation Standards for Business Accreditation”, available at: http://www.aacsb.edu/accreditation/standards/business (20 May 2021)

Baden, D., Parkes, C. (2013), “Experiential learning: inspiring the leaders of tomorrow”, The Journal of Management, Vol. 32 No. 3, pp. 295-308.

Bedawy, R. (2019), “Experiential Learning for Supporting Learning Effectiveness in Business Education: A Case Study from Egypt”, International Journal of Business and Management, Vol. 12 No. 5, pp. 159-176.

Brickner, D. R., Etter E. R. (2008), “Strategies for promoting active learning in a principles of accounting course”, Academy of Education Leadership Journal, Vol. 2 No.12, pp. 87-93.

Butler, M. G., Church, K. S., Spencer, A. W. (2019), “Do, reflect, think, apply: Experiential education in accounting”, Journal of Accounting Education, Vol. 48, pp. 12-21.

Cañabate, D., Garcia-Romeu, M. L., Menció, A., Nogué, L., Planas, M., Solé-Pla, J. (2020), “Cross-Disciplinary Analysis of Cooperative Learning Dimensions Based on Higher Education Students’ Perceptions”, Sustainability, Vol. 12 No. 19, pp. 1-18.

Chen, C., McCain, K., White, H., Lin, X. (2002), “Mapping Scientometrics (1981–2001)”, Proceedings of the American Society for Information Science and Technology, Vol. 1 No. 39, pp. 25-34.

Chen, H. M. (2017), “An overview of information visualization”, Library Technology Reports, Vol. 3 No. 53, pp. 5-7.

Clark, J., White, G. (2010), “Experiential Learning: A Definitive Edge In The Job Market”, American Journal of Business Education, Vol. 3 No. 2, pp. 115-118.

Coker, J. S., Porter, D. J. (2017), “Student motivations and perceptions across and within five forms of experiential learning”, The Journal of General Education, Vol. 165 No. 2, pp. 138-156.

Espinar, E. A., Viguera, J. A. M. (2020), “El aprendizaje experiencial y su impacto en la educación actual”, Revista Cubana de Educación Superior, Vol. 39 No. 3, pp. 1-14.

Haug, J. C., Berns Wright, L., Allen Huckabee, W. (2019), “Undergraduate business students’ perceptions about engagement”, Journal of Education for Business, Vol. 94 No. 2, pp. 81-91.

Hu, C. P., Hu, J. M., Deng, S. L., Liu, Y. (2013), “A co-word analysis of library and information science in China”, Scientometrics, Vol. 97 No. 2, pp. 369-382.

Institute of Development Studies (2013), “Introduction to Data Visualisation”, available at: www.researchtoaction.org/wp-content/uploads/2014/02/Introduction-to-Data-Visualisation.pdf (20 May 2021)

Kirk, A. (2016), Data visualisation: A handbook for data driven design, Sage, London.

Kolb, A. Y., Kolb, D. A. (2017), “Experiential learning theory as a guide for experiential educators in higher education”, Experiential Learning and Teaching in Higher Education, Vol. 1 No.1, pp. 7-44.

Kulkarni, P. P. (2019), “A qualitative analysis of the ‘experiential learning’ of business school students and graduates through their participation in The University of Manchester’s annual business start-up competition”, Entrepreneurship Education, Vol. 2, pp. 149-169.

McCarthy, M. (2016), “Experiential learning theory: From theory to practice”, Journal of Business and Economics Research (JBER), Vol. 3 No. 14, pp. 91-100.

Pinto, M., Fernández-Pascual, R., Caballero-Mariscal, D., Sales, D. (2020), “Information literacy trends in higher education (2006–2019): visualizing the emerging field of mobile information literacy”, Scientometrics, Vol. 2 No. 124, pp.1479-1510.

Selingo, J. J. (2016), There Is Life After College: What Parents and Students Should Know About Navigating School to Prepare for the Jobs of Tomorrow, HarperCollins, New York.

Sharma, A. M. (2020), "Data Visualization", in Kumari, S., Tripathy, K. K., Kumbhar, V. (Eds.), Data Science and Analytics, Emerald Publishing Limited, Bingley, pp. 1-22.

Slavich, G. M., Zimbardo, P. G. (2012), “Transformational Teaching: Theoretical Underpinnings, Basic Principles, and Core Methods”, Educational Psychology Review, Vol. 4 No. 24, pp. 569-608.

Stopar, K., Bartol, T. (2019), “Digital competences, computer skills and information literacy in secondary education: mapping and visualization of trends and concepts”, Scientometrics, Vol. 2 No. 118, pp. 479-498.

Sureka, R., Donthu, N., Kumar, S. (2020), “Three Decades of the Journal of Teaching in International Business: A Bibliometric Overview”, Journal of Teaching in International Business, Vol. 31 No. 3, pp. 259-285.

Van Eck, N. J., Waltman, L. (2010), “Software survey: VOSviewer, a computer program for bibliometric mapping”, Scientometrics, Vol. 84 No. 2, pp. 523-538.

Van Eck, N. J., Waltman, L. (2014), “Visualizing bibliometric networks”, in Ding, Y., Rousseau, R., Wolfram, D (Eds.), Measuring scholarly impact Cham, Springer, pp. 285-320.

Varian, H. (2009), “Hal Varian on how the Web challenges managers”, available at: https://www.mckinsey.com/industries/technology-media-and-telecommunications/our-insights/hal-varian-on-how-the-web-challenges-managers (20 May 2021)

Venkatraman, S., Overmars, A., Wahr, F. (2019), “Visualization and Experiential Learning of Mathematics for Data Analytics”, Computation, Vol. 7 No. 3, pp. 1-13.

Vohra, N., Neerpal, R., Deepti, B. (2015), “Developing Leadership Skills among EMBA Students: Innovations in Design”, The Journal for Decision Makers, Vol. 40 No. 1, pp. 15-27.

Wallis A., Graymore M., Matthews T., Byrne S. (2012), “A Visualisation Tool for Experiential Learning in Environmental Science”, in Kim, M., Diong, C.H. (Eds.), Biology Education for Social and Sustainable Development, Sense Publishers, Rotterdam, pp. 73-86.

Waltman, L., Van Eck, N. J., Noyons, E. C. (2010), ”A unified approach to mapping and clustering of bibliometric networks”, Journal of Informetrics, Vol. 4 No. 4, pp. 629-635.

Zhang, Y., Porter, A. L., Hu, Z., Guo, Y., Newman, N. C. (2014), ““Term clumping” for technical intelligence: A case study on dye-sensitized solar cells”, Technological Forecasting and Social Change, Vol. 85, pp. 26-39.

Downloads

Published

2022-03-29

How to Cite

Fernández-Pascual, R., Marín Jiménez, A., & Pilar Fernández- Sánchez, M. (2022). Visualisation of Perception of Experiential Activities in Business and Administration and Economy. ENTRENOVA - ENTerprise REsearch InNOVAtion, 7(1), 277–285. https://doi.org/10.54820/MUHF5293

Issue

Section

Economic Development, Innovation, Technological Change, and Growth