Realistic Job Preview as an Alternative Tool to Improve Student Readiness for Online Learning

Authors

  • Zahir Ibrahim Latheef University of Houston Downtown
  • Robert Robinson University of Houston Downtown
  • Sedef Smith Branch Alliance for Educator Diversity

DOI:

https://doi.org/10.24059/olj.v25i2.2216

Keywords:

online readiness, realistic job preview, self-assessment, retention

Abstract

Readiness for online learning has been established as a key component of student success in online classes. In addition, the COVID-19 pandemic has underscored how vital being prepared for online can be. This paper highlights an orientation technique widely used in the business field, namely Realistic Job Preview (RJP), as a method to prepare students for what online learning might be like. Our research proposes an RJP would help students adapt to their new role as online learners. For the purposes of this study, we developed a video providing a realistic preview of online learning following recommendations from RJP research. We then conducted a mixed methods study to examine student perceptions of our realistic preview video and an online readiness self-assessment. Overall, our findings provide strong evidence for the use of RJP as a strategy to improve student readiness for online learning.

References

Abdous, M. (2019). Well begun is half done: Using online orientation to foster online students’ academic self-efficacy. Online Learning, 23(3), 161-187. doi:10.24059/olj.v23i3.1437

Alem, F., Plaisent, M., Bernard, P., & Chitu, O. (2014). Student online readiness assessment tools: A systematic review approach. The Electronic Journal of e-Learning, 72(4), 375-383.

Allen, I.E., & Seaman, J. (2010). Learning on demand: Online education in the United States. Retrieved from http://sloanconsortium.org/publications/survey/learning_on_demand_sr2010.

Amemado, D. Pedagogical requirements in a university-context characterized by online and blended courses: Results from a study undertaken through fifteen Canadian universities. In Akyol, Z. & Garrison, R. (Eds.), Educational communities of inquiry: Theoretical framework, research, and practice, (pp. 401-428). Hershey, PA: IGI Global.

Baur, J.E., Buckley, M.R., Bagdasarov, Z., & Dharmasiri, A. (2014). A historical approach to realistic job previews. Journal of Management History, 20(2), 200-223.

Baxter, J. (2012). Who am I and what keeps me going? Profiling the distance learning student in higher education. International Review of Research in Open and Distance Learning, 13(4), 108–129. doi.org/10.19173/irrodl.v13i4.1283

Berry, S. (2019). Faculty perspectives on online learning: The instructor’s role in creating community. Online Learning, 23(4), 181-191. doi:10.24059/olj.v23i4.2038

Billsberry, J. (2007). Experiencing recruitment and selection. London: John Wiley & Sons.

Bocchi, J., Eastman, J. K., & Swift, C. O. (2004). Retaining the online learner: Profile of students in an online MBA program and implications for teaching them. Journal of Education for Business, 79(4), 245–253.

Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative research in psychology, 3(2), 77-101.

Breaugh, J. (2009). Realistic job previews. Handbook of Improving Performance in the Workplace: Volumes 1‐3, 203-220.

Breaugh, J. A. & Billings, R. S. (1988). The realistic job preview: five key elements and their importance for research and practice. Human Resource Management Review, 18, 103-118.

Breaugh, J. A., & Starke, M. (2000). Research on employee recruitment: So many studies, so many remaining questions. Journal of Management, 26(3), 405-434.

Britto, M., & Rush, S. (2013). Developing and implementing comprehensive student support services for online students. Journal of Asynchronous Learning Networks, 17(1), 29-42.

Buda, R. (2003). The interactive effect of message framing, presentation order, and source credibility on recruitment practices. International Journal of Management, 20(2), 156.

Carless, S.A. (2005), Person–job fit versus person–organization fit as predictors of organizational attraction and job acceptance intentions: A longitudinal study. Journal of Occupational and Organizational Psychology, 78: 411-429.

Cho, M-H. (2012). Online student orientation in higher education: A developmental study. Educational Technology Research and Development, 60(6), 1051-1069.

Cleveland-Innes, M., Garrison, R., & Kinsel, E. (2009). The role of learner in an online community of inquiry: Responding to challenges of first-time online learners. In Karacapilidis, N. (Ed.), Solutions and innovations in Web-based technology for augmented learning: Improved platforms, tools, and applications, (pp.1-14). Hershey, PA: IGI Global.

Dobbs, R. R., Waid, C. A., & del Carmen, A. (2009). Students' perceptions of online courses the effect of online course experience. The Quarterly Review of Distance Education, 10(1), 9-26.

Farid A, Plaisent M, Bernard, P & Chitu O. (2014). Student Online Readiness Assessment Tools: A Systematic Review Approach. The Electronic Journal of e-Learning, 12(4), 375-382.

Garrison, R., Cleveland-Innes, M., & Fung, T. (2004). Student role adjustment in online communities of inquiry: Model and instrument validation. Journal of Asynchronous Learning Networks, 8(2), 61-74. doi:10.24059/olj.v8i2.1828

Global Research and Insights. (2018). Beyond Millennials: The Next Generation of Learners. New York: Pearson. Retrieved from: https://www.pearson.com/content/dam/one-dot-com/one-dot-com/global/Files/news/news-annoucements/2018/The-Next-Generation-of-Learners_final.pdf

Hall, M. C. (2008). Predicting student performance in Web-based distance education courses based on survey instruments measuring individual traits and technical skills Journal of Distance Learning Administration, 11(3).

Hovland, C.I., Janis, I.L., & Kelley, H.H. (1953). Communication and persuasion in psychological studies of opinion change. New Haven: Yale University, Press,

Jones, K. R. (2013). Developing and implementing a mandatory online student orientation. Online Learning, 17(1), 43-45. doi:10.24059/olj.v17i1.312

Journell, W. (2013). Online learning: Strategies for K-12 teachers. New York, NY: Rowman & Littlefield Publishers, Inc.

Kerr, M. S., Rynearson, K , & Kerr, M. C. (2006). Student characteristics for online learning success. The Internet and Higher Education, 9(2), 91-105.

Landis, R. S., Earnest, D. R., & Allen, D. G. (2013). Realistic Job Previews: Past, Present. The Oxford handbook of recruitment, 423.

Lee, D. E. (2016). Study of the predictive value of the test of online learning success (Doctoral dissertation, San Francisco State University).

Li, Q., & Akins, M. (2005). Sixteen myths about online teaching and learning in higher education: Don't believe everything you hear. TechTrends, 49(4), 51.

Mensch, S. (2017). Improving distance education through student online orientation classes. Global Education Journal, 1, 1-6.

Mortagy, Y., & Boghikian-Whitby, S. (2010). A longitudinal comparative study of student perceptions in online education. Interdisciplinary Journal of E-Learning and Learning Objects, 6(1), 23–44.

Ou, C., Joyner, D. A., & Goel, A. K. (2019). Designing and Developing Video Lessons for Online Learning: A Seven-Principle Model. Online Learning, 23(2), 82-104. doi:10.24059/olj.v23i2.1449

Palahicky, S., & Andrews-Brown, A. (2018). Case study: Preparing students for active engagement in online and blended learning environments. In J. Kingwee (Ed.), Handbook of research on digital content, mobile learning, and technology integration models in teacher education (pp. 45-68). IGI Global.

Popovich, P., & Wanous, J. P. (1982). The realistic job preview as a persuasive communication. Academy of Management Review, 7(4), 570-578.

Phillips, J.M. (1998). Effects of realistic job previews on multiple organizational outcomes: A meta-analysis. Academy of Management Journal, 41(6), 673-690.

Rovai, A. P., & Downey, J. R. (2010). Why some distance education programs fail while others succeed in a global environment. The Internet and Higher Education, 13(3), 141–147.

Rynes, S. L. (1991). Recruitment, job choice, and post-hire consequences. In M. D. Dunnette & L. M. Hough (Eds.), Handbook of industrial and organizational psychology (pp. 399-444). Palo Alto, CA: Consulting Psychologists Press.

Seaman, J. E., Allen, I. E., & Seaman, J. (2018). Grade Increase: Tracking Distance Education in the United States. Babson Survey Research Group.

Taylor, J. M., Dunn, M., & Winn S. K. (2015). Innovative orientation leads to improved success in online courses. Online Learning, 19(4), 112-120. doi:10.24059/olj.v19i4.570

Thaiupathump, C. J. Bourne and O. Campbell. Intelligent agents for online learning. Journal of Asynchronous Learning Networks, 3(2): 1999. doi:10.24059/olj.v3i2.1913

Waldman, L., Perreault, H., Alexander, M., & Zhao, J. (2009). Comparing the perceptions of online learning between students with experience and those new to online learning. Information Technology, Learning, and Performance Journal, 25(2), 20.

Wanous, J. P. (1992). Organizational entry: Recruitment, selection, orientation, and socialization of newcomers. Reading, MA: Addison-Wesley.

Warner, D., Christie, G., & Choy, S. (1998). Readiness of VET clients for flexible delivery including on-line learning. Brisbane: Australian National Training Authority.

Weitz, J. (1956). Job expectancy and survival. Journal of Applied Psychology, 40, 245-247.

Willging, P. A. and S. Johnson. Factors that influence students’ decision to dropout of online courses. Journal of Asynchronous Learning Networks, 8(4): 2004. doi:10.24059/olj.v13i3.1659

Wladis, C. & Samuels, J. (2016). Do online readiness surveys do what they claim? Validity, reliability, and subsequent student enrollment decisions. Computers & Education 98, 39-56.

Wyatt, G. (2003). Satisfaction, academic rigor and interaction: perceptions of online instruction. Education, 125(3), 460-468.

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Published

2021-06-01

Issue

Section

Student Issues, Pedagogy, Tools, and Support