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Evaluation of the Holistic Development of B-School Students: A Structural Equation Model


Affiliations
1 St. Francis Institute of Management and Research, Mumbai, India
     

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Purpose

Management education sector faces greater scrutiny from a wider group of stakeholders than at any time in its history and anagement education has entered a phase of profound transition driven by globalization, technology and social imperatives. Therefore, this paper tries to develop a structural equation model of the academic performance of B-School students based on the parameters of mentoring, lecturing, co-curricular activities, industrial exposure and assessment system.

Research Methods

The study employs an exploratory and causal research design to determine the variables intluencing the academic performance ot B-School students. The instrument to assess the notions of this study is designed based on the five parameters mentioned above.

The study is based on the primary data collected trom B-School students. For the selection of students tor the perception survey, purposetul sampling technique was used. Sample size considered for the survey is 250.

Findings

The model developed provides a B-school's management with an effective pedagogical framework and it indicates that the parameter 'Mentoring' influences the parameter 'Lecturing', 'Industrial Exposure' and 'Assessment System'.

Implications

The developed model indicates that educators and researchers can predict the success of business students effectively by their performance through the multiple initiatives taken by the Institute for their holistic development. The parameters in the model play a vital role in measuring the results as they are interrelated and have an impact on each other. Policymakers can take a call on the curriculum development and the optimal utilization of resources based on the framework which is generated.


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  • Amen, U., (2014). Employers expectations versus performance of fresh graduates: Business schools. Market Forces journal of management, business and economics, 9(2).

  • Ariani, D.W. (2013) The Relationship between Employee Engagement, Organizational Citizenship Behaviour, and Counterproductive Work Behavior. International Journal of Business Administration, 4, 46-56.

  • Becker, G. S., (1964), Human Capital: A Theoretical and Empirical Analysis, with Special Reference to Education, National Bureau of Economic Research, New York.

  • Bernard, H. R. (2002). Research methods in anthropology: Qualitative and quantitative approaches (3rd ed.). Walnut Creek, CA: Alta Mira Press.

  • Bharadwaj, B., K., and Pal, S. (2011). Mining Educational Data to Analyse Students' Performance, International Journal of Advanced Computer Science and Applications, 2(6):63-69.

  • Bisaria, Gaurav. (2011). Impact of IndustryDevelopment of RMS Journal of Academia Interface on Management Colleges. Management and IT, 3.

  • Bisoux T., (2003), "New Directions in Global Education", Baized AACSB Publication, pp 34-37.

  • Black, Paul, William, Dylan, (1998), Assessment in Education: Principles, Policy and Practice, 5(1).

  • Bond, A. (1999), Student mentoring: promoting high achievement and low attrition in education and training. Leabrook, South Australia, National Centre tor Vocational Education Research.

  • Borchert M., (2002). Career choice factors of high school students. A Research Paper Submitted in Partial Fulfilment of the Requirements for the Degree Master of Science Degree, University of Wisconsin -Stout, 2002.

  • Crisp, G. and Cruz, I. 2009. "Mentoring College Students: A Critical Review of the Literature between 1990 and 2007. Research in Higher Education, 50: 525-545.

  • Detreitas, S.C., and Bravo, A. (2012). The intluence of involvement with faculty and mentoring on the self-efficacy and academic achievement of African-American and Latino college students. Evaluation of the holistic develooment of B-school Students Journal of the Scholarship of Teaching and Learning, 12(4), 1-11.

  • Edwards, L.J., (2001), Are e-clubs the answer to entrepreneurial learning? WEI Working Paper series | 7.

  • Wrenn, J., and Wrenn, B., (2009), Enhancing learning by Integrating Theory and Practice International Journal of Teaching and Learning in Higher Education, 21(2), 258-265

  • Fan, X. and Chen, M. (2001), Parental Involvement and Students' Academic Achievement: A Meta-Analysis, Educational Psychology Review, 13: 1

  • Ganyauptu, E., M., (2013). Factors Intluencing Academic Achievement in Quantitative Courses among Business Students of Private Higher Education Institutions, Journal of Education and Practice, 4(15):57-65.

  • Gilley, A., McMillan, H., S., and Gilley, J., W., (2009), Organizational change and characteristics of leadership effectiveness, Journal of Leadership and Organizational Studies, 16(1), pp. 38-47

  • Goleman, D., Boyatzis, R. E., and McKee, A., (2004). Primal leadership: Learning to lead with emotional intelligence. Boston, Mass: Harvard Business School Press

  • Greiman B., C., (2007). Influence of mentoring on dyad satisfaction: Is there agreement between matched pairs of novice teachers and their formal mentors? Journal of Career and_ Technical Education, 23, 153-166.

  • Hagen-Hall, K., and Verhaart, M. (2008). Mentoring students to improve academic performance. In S. Mann and M. Lopez (Eds.), Proceedings of the Twenty First Annual Conference of the National Advisory Committee on Computing Qualifications (NACCQ 2008), 47 July, Auckland, New Zealand (pp. 59-65).

  • Hande, S., (2014). Strengths Weaknesses Opportunities and Threats of Blended Learning: Students! Perceptions. Annals of Medical and Health Sciences Research, 4(3), 336-339.

  • Hanushek, E. A. and Kimko, D. D. (2000). Schooling, labor force quality, and the growth ot nations. American Economic Review 90(5), 1184-1208.

  • Josephine N., (2016), Intluence of Student's Interest on Career Choice among First Year University Students in Public and Private Universities in Kisii County, Kenya University Journal of Education and Practice ,17(4).

  • Jabeen, T., (2011), An Appraisal of Mismatch between Graduating Students’ Perception and Employers' Expectations Regarding Employability Skills. Thesis: University of Gujrat, Pakistan.

  • Kang'ahi, M., Indoshi, FC., Okwach, T.O. and Osido, J. (2012). Teaching Styles and Learners’ Achievement in Kiswahili Language in Secondary Schools, International Journal of Academic Research in Progressive Education and Development, 1 (3):62-87.

  • Kingdon, Geeta and Soderbom, Mans (2007), Education, skills and labor market outcomes: Evidence trom Ghana. Background paper prepared for the World Bank study, Linking Education Policy to Labor Market Outcomes. Washington, DC: World Bank.

  • Knotts, T.L., (2011), The SBDC in the classroom: providing experiential learning opportunities at ditterent entrepreneurial stages, Journal ot Entrepreneurship Education, Volume 14, 2011, pp: 25-38

  • Komarraju, M., Musulkin, S., and Bhattacharya, G. (2010). Role of student-faculty interactions in developing college students' academic selfconcept, motivation and achievement. Journal of College Student Development, 51 (3), 332-342.

  • Lundberg, C. A., and Schreiner, L. A. (2004). Quality and frequency of faculty -student interaction as predictors of learning: An analysis by student race/ethnicity. Journal of College Student Development, 45(5), 549-565.

  • Mahoney, J., Cairns, B., Farmer, T., "Promoting interpersonal competence and_ educational success through extracurricular activity participation", Journal of Educational Psychology, 95,2003, 409-418.

  • Muzenda, A. (2013). Lecturers! Competences and Students' Academic Performance, International Journal of Humanities and Social Science Invention. Vol. 3, Issue. 1, 06-13

  • Evangelou, O., D., (2006), The Role of Extracurricular Activities in the Education ofEngineers, 9" International Conference on Engineering Education Session, T4K-24.

  • Onzonol, Santiago, Iniguez. (2010), Management education: The best is yet to come. In ‘trom challenge to change: Business schools in the wake of financial crisis' (A compendium of essays put together by Global Foundation tor Management Education)

  • Pandey, S., Chailla, T., (2014), A Study of Trends in Mentoring Relationship of Indian IT industry, Procedia - Social and Behavioral Sciences, 133, pp. 425-437.

  • Pittaway, L. Gizzard, J. Shore, Aand Williamson, T. (2015) Student clubs: experiences in entrepreneurial learning, Entrepreneurship and Regional Development, Vol 27, No 3-4, pp 127-153.

  • Quinn, F, Muldoon, R., and Hollingworth, A. (2002): Formal Academic Mentoring: a pilot scheme for first- year science students at a regional university. Mentoring and Tutoring 10(1) 21-33.

  • Rae, D. (2004) Practical theories from entrepreneurs’ stories: discursive approaches to entrepreneurial learning, Journal of Small Business and Enterprise Development, Vol 11, No 2, pp 195-202

  • Rober A., (2000), Mentoring Revisited: A phenomenological reading of the literature, Mentoring and Tutoring: Partnership in Learning Vol 8 lss2 pp 145-170

  • Roth, P.L., and Clarke, R. L. (1998). Meta-analysing the relation between grades and salary. Journal of Vocational Behavior, 53, 386—400

  • Roth, P L., Be Vier, C. A., Switzer, F S., and Schippman, J. S. (1996). Meta-analyzing the relationship between grades and job performance. Journal of Applied Psychology, 81, 548-556

  • Rothmann S., Coetzer E. P (2003). The Big Five personality dimensions and job performance. SA Journal of Industrial Psychology, 29(1), 68-74.

  • Sax, Linda J., Bryant, Alyssa N. Harper, Casandra E. (1967) Journal of College Student Development, Volume 46, Number 6, November/December 2005, pp. 642-657

  • Schacter, J. and Thum, Y.M. (2004). Paying tor High- and Low-Quality Teaching, Economics of Education Review, 23: 411-430.

  • Spradley, J. P (1979). The ethnographic interview. New York: Holt

  • Sultan, Sarwat; Shafi and Muhammad (2014), Impact of Perceived Teachers’ Competence on Students’ Performance: Evidence tor Mediating/Moderating Role of Class Environment, Journal on Educational Psychology, 8(10): 10-18

  • Talbert, B., Larke, A., and Jones, W. (1999): Using a student organisation to increase participation and success of minorities in agricultural disciplines. Peabody Journal of Education 74:90-104.

  • Terenzini, PT., Pascarella, E.T., and Blimling, G.S. (1996). Students Out-of-class Experiences and their Intluence on Learning and Cognitive Development: A Literature Review, Journal of College Student Development, 37, 149-162.

  • Tinto, V. (1975), Dropout from Higher Education: A Theoretical Synthesis of Recent Research. Review of Educational Research. (45). 89-125.

  • Tucker, C. M., Zayco, R. A., and Herman, K. C., (2002), Teacher and child variables as predictors of academic engagement among low-income African American children, Psychology in the Schools, 39(4), 477-488.

  • Yingling, Lynelle C.; Miller, William E.; McDonald, Alice L.; Galewaler, Susan T. (2013). GARF Assessment Sourcebook. Abingdon, Oxon: Routledge.

  • Yoon, Kwang S, Teresa D, Silvia, Wen-Yu L, Beth Scarloss, and Kathy L. S. (2007), Reviewing the Evidence on How Teacher Protessional Development Attects Student Achievement. Issues and Answers Report, No. 033

  • Yorke, M., and Knight, PT. (2004). Embedding Employability into the Curriculum. Higher Education Academy, New York.


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  • Evaluation of the Holistic Development of B-School Students: A Structural Equation Model

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Authors

K. R. Sinimole
St. Francis Institute of Management and Research, Mumbai, India
Vaibhav Kulkarni
St. Francis Institute of Management and Research, Mumbai, India

Abstract


Purpose

Management education sector faces greater scrutiny from a wider group of stakeholders than at any time in its history and anagement education has entered a phase of profound transition driven by globalization, technology and social imperatives. Therefore, this paper tries to develop a structural equation model of the academic performance of B-School students based on the parameters of mentoring, lecturing, co-curricular activities, industrial exposure and assessment system.

Research Methods

The study employs an exploratory and causal research design to determine the variables intluencing the academic performance ot B-School students. The instrument to assess the notions of this study is designed based on the five parameters mentioned above.

The study is based on the primary data collected trom B-School students. For the selection of students tor the perception survey, purposetul sampling technique was used. Sample size considered for the survey is 250.

Findings

The model developed provides a B-school's management with an effective pedagogical framework and it indicates that the parameter 'Mentoring' influences the parameter 'Lecturing', 'Industrial Exposure' and 'Assessment System'.

Implications

The developed model indicates that educators and researchers can predict the success of business students effectively by their performance through the multiple initiatives taken by the Institute for their holistic development. The parameters in the model play a vital role in measuring the results as they are interrelated and have an impact on each other. Policymakers can take a call on the curriculum development and the optimal utilization of resources based on the framework which is generated.


Keywords


No Keywords.

References