Acta Univ. Agric. Silvic. Mendelianae Brun. 2019, 67(2), 609-620 | DOI: 10.11118/actaun201967020609

Preferable Course of Study and Learning Support by Business University Students

Lucie Vnoučková1, Hana Urbancová2
1 Department of Management, University of Economics and Management, Nárožní 2600/9a, 158 00 Prague 5, Czech Republic
2 Department of Human Resources, University of Economics and Management, Nárožní 2600/9a, 158 00 Prague 5, Czech Republic

Assessment of higher education is a multifaceted and multidimensional concept. Therefore this paper focuses on assessment of preferences by business university students. The aim of this paper is to identify preferable course of study and benefits of business higher education in case private business university. The paper shows how students perceive and evaluate study support by modern information and communication technologies and identifies most important areas of their preferences during studies. The results are based on a quantitative survey by questionnaire data collection from all students of surveyed Business University. Descriptive statistics, correlation analyisis, analysis of differences and factor analysis was conducted to find responses from students regarding their perception of the educational process. The analysis found groups of variables with significant appearance of students' main preferences. The results show orientation of students on benefits of university education mostly in career development (p = 0.000). Prefered curiculum of graduates most importantly contains independent work, significant position at job market and self management. In the area of study support students mostly prefer flexibility and availability of study texts and materials online using mobile applications (Cramer's V = 0.314, p = 0.013). Other significant group of students focus on expert teachers and knowledge and online/mobile consultaions. The results may help to set up students' support in order to address current students' needs and expectations.

Keywords: university, assessment, education, student, curriculum, study support, web, impact

Received: November 10, 2017; Accepted: February 22, 2019; Published: April 29, 2019  Show citation

ACS AIP APA ASA Harvard Chicago IEEE ISO690 MLA NLM Turabian Vancouver
Vnoučková, L., & Urbancová, H. (2019). Preferable Course of Study and Learning Support by Business University Students. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis67(2), 609-620. doi: 10.11118/actaun201967020609
Download citation

References

  1. AGBOLA, F. W. and CHENG, C. 2017. Student's local top-up higher education choices. Studies in Continuing Education, 39(3): 333-356. DOI: 10.1080/0158037X.2017.1336994 Go to original source...
  2. ANDERSON, V. 2009. Research Methods in Human Resource Management. London: Chartered Institute of Personnel Development.
  3. AREGBEYEN, O. 2010. Students perceptions of effective teaching and effective lecturer characteristics at the University of Ibadan, Nigeria. Pakistan Journal of Social Sciences, 7(2): 62-69. DOI: 10.3923/pjssci.2010.62.69 Go to original source...
  4. ARSENIJEVIĆ, J. and MALJKOVIĆ, M. 2016. Teachers' Roles in Relation to the Ownership Structure of a Faculty. Procedia Technology, 22: 1152-1159. DOI: 10.1016/j.protcy.2016.01.162 Go to original source...
  5. BLAU, I. and SHAMIR-INBAL, T. 2017. Re-designed flipped learning model in an academic course: The role of co-creation and co-regulation. Computers & Education, 115: 69-81. DOI: 10.1016/j.compedu.2017.07.014 Go to original source...
  6. BOWER, M., LEE, M. J. W. and DALGARNO, B. 2017. Collaborative learning across physical and virtual worlds: Factors supporting and constraining learners in a blended reality environment. British journal of educational technology, 48(2): 407-430. DOI: 10.1111/bjet.12435 Go to original source...
  7. BUTZ, N. T. and STUPNISKY, R. H. 2017. Improving student relatedness through an online discussion intervention: The application of self-determination theory in synchronous hybrid programs. Computers & Education, 114: 117-138. DOI: 10.1016/j.compedu.2017.06.006 Go to original source...
  8. CHENG, Y. C. 2013. Quality assurance in education: Internal, interface and future, Quality Assurance in Education Journal, 11(4): 202-213. DOI: 10.1108/09684880310501386 Go to original source...
  9. COLLINS, T. W., GRINESKI, S. E., SHENBERGER, J. et al. 2017. Undergraduate Research Participation Is Associated With Improved Student Outcomes at a Hispanic-Serving Institution. Journal of college student development, 58(4): 583-600. DOI: 10.1353/csd.2017.0044 Go to original source...
  10. CHATTI, M. A., AGUSTIAWAN, M. R., JARKE, M. and SPECHT, M. 2010. Toward a personal learning environment framework, International Journal of Virtual and Personal Learning Environments, 4: 66-85. DOI: 10.4018/jvple.2010100105 Go to original source...
  11. DEVECI, H. 2015. Value education through distance learning: Opinions of students who already completed value education. Turkish Online Journal of Distance Education, 16(1): 112-126. DOI: 10.17718/tojde.89079 Go to original source...
  12. DUONG, M. Q., WU, C. L. and HOANG, M. K. 2017. Student inequalities in Vietnamese higher education? Exploring how gender, socioeconomic status, and university experiences influence leadership efficacy. Innovations in Education and Teaching International, 56(1): 110-120. DOI: 10.1080/14703297.2017.1377098 Go to original source...
  13. ESPARZA, G. G., DE-LUNA, A., ZEZZATTI, A. O., COSSIO, E. and NAVA, J. J. 2018. A sentiment analysis model to analyze students reviews of teacher performance using support vector machines. Advances in Intelligent Systems and Computing, 620: 157-164. In press. DOI: 10.1007/978-3-319-62410-5_19 Go to original source...
  14. FROSS, K., WINNICKA-JASŁOWSKA, D. and SEMPRUCH, A. 2018. "Student zone" as a new dimension of learning space. Case study in Polish conditions. Advances in Intelligent Systems and Computing, 600: 77-83. In press. DOI: 10.1007/978-3-319-60450-3_8 Go to original source...
  15. FÜRSTENBERG, S., SCHICK, K., DEPPERMANN, J., KADMON, M. and HARENDZA, S. 2017. Competencies for first year residents - Physicians' views from medical schools with different undergraduate curricula. BMC Medical Education, 17(1): 154. DOI: 10.1186/s12909-017-0998-9 Go to original source...
  16. GARCÍA-ARACIL, A. 2009. European graduates' level of satisfaction with higher education. Higher Education, 57(1): 1-21. DOI: 10.1007/s10734-008-9121-9 Go to original source...
  17. GRAVILL, J. and COMPEAU, D. 2008. Self-regulated learning strategies and software training. Information & Management, 45(5): 288-296. DOI: 10.1016/j.im.2008.03.001 Go to original source...
  18. GUERIN, C., JAYATILAKA, A., RANASINGHE, D., MCCULLOCH, A. and CALDER, P. 2017. Research degrees in Information and Communication Technology (ICT): Why so few doctoral students? Journal of Further and Higher Education, 41(5): 625-641. DOI: 10.1080/0309877X.2016.1159290 Go to original source...
  19. CHUI, T. B., AHMAD, M.S., BASSIM, F. A. and ZAIMI, N. A. 2016. Evaluation of Service Quality of Private Higher Education Using Service Improvement Matrix. Procedia - Social and Behavioral Sciences, 224: 132-140. Go to original source...
  20. HEBÁK P. et al. 2014. Statistické myšlení a nástroje analýzy dat. Praha: Informátorium.
  21. HENDL. J. 2006. Přehled statistických metod zpracování dat: analýza a metaanalýza dat. Praha: Portál.
  22. HILALI, N., AL-JABER, S., HUSSEIN, L. 2015. Students' Satisfaction and Achievement and Absorption Capacity in Higher Education. Procedia-Social and Behavioral Sciences, 177: 420-427. DOI: 10.1016/j.sbspro.2015.02.384 Go to original source...
  23. JOHANNESSEN, J. and OLSEN, B. 2003. Knowledge management and sustainable competitive advantages: the impact of dynamic contextual training. International Journal of Information Management, 23(4): 277-289. DOI: 10.1016/S0268-4012(03)00050-1 Go to original source...
  24. JOKSIMOVIĆ, S., GAŠEVIĆ, D., LOUGHIN, T. M., KOVANOVIĆ, V. and HATALA, M. 2015. Learning at distance: Effects of interaction traces on academic achievement. Computers and Education, 87: 204-217. DOI: 10.1016/j.compedu.2015.07.002 Go to original source...
  25. KEMBER, D., HONG, C., YAU, V. W. K. et al. 2017. Mechanisms for promoting the development of cognitive, social and affective graduate attributes. Higher education, 74(5): 799-814. DOI: 10.1007/s10734-016-0077-x Go to original source...
  26. KIM, M. K., KIM, S. M., KHERA, O. and GETMAN, J. 2014. The experience of three flipped classrooms in an urban university: an exploration of design principles. Internet and Higher Education, 22: 37-50. DOI: 10.1016/j.iheduc.2014.04.003 Go to original source...
  27. KONTOGHIORGHES, C., AWBREY, S. M. and FEURIG, P. L. 2005. Examining the relationship between learning organization characteristics and change adaptation, innovation, and organizational performance, Human Resource Development Quarterly, 16(2): 185-212. DOI: 10.1002/hrdq.1133 Go to original source...
  28. KOOLE, M., LETKEMAN MCQUILKIN, J. and ALLY, A. 2010. Mobile learning in distance education: Utility or futility, International Journal of E-Learning & Distance Education, 24 (2): 59-82.
  29. LUO, N., ZHANG, M. and QI, D. 2017. Effects of different interactions on students' sense of community in e-learning environment. Computers & Education, 115: 153-160. DOI: 10.1016/j.compedu.2017.08.006 Go to original source...
  30. MENON, M. E., MARKADJIS, E., THEODOROPOULOS, N. and SOCRATOUS, M. 2017. Influences on the intention to enter higher education: the importance of expected returns. Journal of Further and Higher Education, 41(6): 831-843. DOI: 10.1080/0309877X.2016.1188897 Go to original source...
  31. NOLLENBERGER, K. 2017. On-Campus versus Hybrid Courses in a Master of Public Administration Program. Journal of public affairs education, 23(1): 625-636. DOI: 10.1080/15236803.2017.12002273 Go to original source...
  32. PALÁT, M. 2012. Statistické zpracování dat [in Czech: Statistical data processing]. [online]. Available at: http://www.vuchs.cz/OPVpK/dokumenty/Palat-Statistika-2.pdf [Accessed: 2016, March 03].
  33. RATA, E. 2017. Knowledge and teaching. British educational research journal, 43(5): 1003-1017. DOI: 10.1002/berj.3301 Go to original source...
  34. SABARDEEN, J. 2013. Learning Styles and Training Methods. Communications of the IBIMA, 2013: 311167. Go to original source...
  35. SCHINDLER, L. A., BURKHOLDER, G. J. and MORAD, O. A. et al. 2017. Computer-based technology and student engagement: a critical review of the literature. International journal of educational technology in higher education, 14(2): 25. DOI: 10.1186/s41239-017-0063-0 Go to original source...
  36. SHAHJAHAN, R. A. and MORGAN, C. 2016. Global competition, coloniality, and the geopolitics of knowledge in higher education. British Journal of Sociology of Education, 37(1): 92-109. DOI: 10.1080/01425692.2015.1095635 Go to original source...
  37. STAICULESCU, C. and DOBREA, R. C. 2017. Impact of the career counseling services on employability. In: 7th International Edu World Conference (Edu World). Pitesti, Romania, 04-05 Nov, 2016. Go to original source...
  38. THATCHER, I., ALAO, H., BROWN, C. I. and CHOUDHARY, S. 2016. Enriching the values of micro and small business research projects: co-creation service provision as perceived by academic, business and student. Studies in Higher Education, 41(3): 560-581. DOI: 10.1080/03075079.2014.942273 Go to original source...
  39. THOMSON, P. 2017. Communication technology use and study skills. Active learning in higher education, 18(3): 257-270. DOI: 10.1177/1469787417715204 Go to original source...
  40. QUAN, N., RIENTIES, B., TOETENEL, L. et al. 2017. Examining the designs of computer-based assessment and its impact on student engagement, satisfaction, and pass rates. Computers in Human Behavior, 76: 703-714. Go to original source...
  41. WANG, F. H. 2017. An exploration of online behaviour engagement and achievement in flipped classroom supported by learning management system. Computers & Education, 114: 79-91. DOI: 10.1016/j.compedu.2017.06.012 Go to original source...

This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY NC ND 4.0), which permits non-comercial use, distribution, and reproduction in any medium, provided the original publication is properly cited. No use, distribution or reproduction is permitted which does not comply with these terms.