This study explored factors that predicted learners’ transformative learning in an online employee training program in a higher education institution in the U.S. A multivariate multiple regression analysis was conducted with a sample of 74 adult learners on their learning of a new learning management system. Four types of participants’ behaviors were measured and aligned with 3 phases of transformative learning, namely, number of active visits in Phase 1, alignment of personal goals with actual actions in Phase 1, number of posted messages in Phase 4, and program completion in Phase 6. Results showed that prior knowledge was the strongest predictor of the early stages of transformative learning. Financial incentive had an effect on participants’ Phase 1 of transformative learning. No significance was observed regarding the impact of personal goals. Implications and suggestions on providing and improving technology online training to employees were discussed in the end of this article for practitioners and researchers.
ArbaughJ. B. (2010). Sage, guide, both, or even more? An examination of instructor activity in online MBA courses. Computers & Education, 55(3), 1234–1244. doi:https://doi.org/10.1016/j.compedu.2010.05.020
2.
Batalla–BusquetsJ.–M., & Pacheco–BernalC. (2013). On–the–job e–learning: Workers’ attitudes and perceptions. International Review of Research in Open and Distance Learning, 14(1), 40–64. Retrieved from http://www.irrodl.org/index.php/irrodl/article/view/1304/2417
3.
BeierM. E., & AckermanP. L. (2005). Age, ability, and the role of prior knowledge on the acquisition of new domain knowledge: promising results in a real–world learning environment. Psychology and Aging, 20(2), 341–355. doi:https://doi.org/10.1037/0882–7974.20.2.341
4.
BlairK., & HoyC. (2006). Paying attention to adult learners online: The pedagogy and politics of community. Computers and Composition, 23(1), 32–48. doi:https://doi.org/10.1016/j.compcom.2005.12.006
5.
BoyerN. R., MaherP. A., & KirkmanS. (2006). Transformative learning in online settings: The use of self–direction, metacognition, and collaborative Learning. Journal of Transformative Education, 4(4), 335–361. doi:https://doi.org/10.1177/1541344606295318
6.
BrintonC. G., JainM. C. S., LamH., LiuZ., & WongF. M. F. (2013). Learning about social learning in MOOCs: From statistical analysis to generative model: arxiv.org/abs/1312.2159.
7.
BrooksG., BurtonM., ColeP., MilesJ., TorgersonC., & TorgersonD. (2008). Randomised controlled trial of incentives to improve attendance at adult literacy classes. Oxford Review of Education, 34(5), 493–504. doi:https://doi.org/10.1080/03054980701768741
8.
DonavantB. W. (2009). The new, modern practice of adult education: Online instruction in a continuing professional education setting. Adult Education Quarterly, 59(3), 227–245. doi:https://doi.org/10.1177/0741713609331546
9.
GeX., ChenC.–H., & DavisK. A. (2005). Scaffolding Novice Instructional Designers’ Problem–Solving Processes Using Question Prompts in a Web–Based Learning Environment. Journal of Educational Computing Research, 33(2), 219–248. doi:https://doi.org/10.2190/5f6j–hhvf–2u2b–8t3g
10.
Hanlin–RowneyA., KuntzelmanK., LaraM. E. A., QuinnD., RoffmannK., NicholsT. T., & WelshL. (2006). Collaborative Inquiry as a Framework for Exploring Transformative Learning Online. Journal of Transformative Education, 4(4), 320–334. doi:https://doi.org/10.1177/1541344606294820
11.
HardmanW., & RobertsonL. (2012). What motivates employees to persist with online training? One Canadian workplace study. International Journal of Business, Humanities and Technology, 2(5), 66–78.
12.
HineraskyC., & FahrR. (2014). Learning outcomes, feedback, and the performance effects of a training program. University of Paderborn. Retrieved from http://econpapers.repec.org/RePEc:pdn:dispap:16 (No 16, Working Papers Dissertations)
13.
HoA. D., ReichJ., NesterkoS., SeatonD. T., MullaneyT., WaldoJ., & ChuangI. (2014). HarvardX and MITx: The first year of open online courses. Social Science Electronic Publishing, Inc. Retrieved from http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2381263
14.
KangM., ParkK., & ChoiH. (2006). Prior knowledge and social presence as predictors of satisfaction and achievement in online teacher training. In ReevesT. & YamashitaS. (Eds.), Proceedings of E–Learn: World Conference on E–Learning in Corporate, Government, Healthcare, and Higher Education2006 (pp. 2067–2073). Chesapeake, VA: Association for the Advancement of Computing in Education (AACE).
15.
KizilcecR. F., PiechC., & SchneiderE. (2013). Deconstructing disengagement: Analyzing learner subpopulations in massive open online coursesProceedings of the Third International Conference on Learning Analytics and Knowledge (pp. 170–179). New York, NY: ACM.
16.
KnowlesM. S. (1984). Andragogy in action: Applying modern principles of adult education. San Francisco, CA: Jossey Bass.
17.
KozlowskiS. W., GullyS. M., BrownK. G., SalasE., SmithE. M., & NasonE. R. (2001). Effects of training goals and goal orientation traits on multidimensional training outcomes and performance adaptability. Organizational Behavior and Human Decision Processes, 85(1), 1–31. doi:https://doi.org/10.1006/obhd.2000.2930
18.
KupczynskiL., GibsonA. M., IceP., RichardsonJ., & ChallooL. (2011). The impact of frequency on achievement in online courses: A study from a south texas university. Journal of Interactive Online Learning, 10(3), 141–149.
19.
LeeK., & BrettC. (2015). Dialogic understanding of teachers’ online transformative learning: A qualitative case study of teacher discussions in a graduate–level online course. Teaching and Teacher Education, 46, 72–83. doi:https://doi.org/10.1016/j.tate.2014.11.001
20.
LittlejohnA., MilliganC., & MargaryanA. (2012). Charting collective knowledge: supporting self–regulated learning in the workplace. Journal of Workplace Learning, 24(3), 226–238. doi:https://doi.org/10.1108/13665621211209285
21.
MargaryanA., LittlejohnA., & MilliganC. (2013). Self–regulated learning in the workplace: strategies and factors in the attainment of learning goals. International Journal of Training and Development, 17(4), 245–259. doi:https://doi.org/10.1111/ijtd.12013
22.
MarkleG. (2015). Factors influencing persistence among nontraditional university students. Adult Education Quarterly, 65(3), 267–285. doi:https://doi.org/10.1177/0741713615583085
MezirowJ. (2000). Learning as Transformation: Critical Perspectives on a Theory in Progress. San Francisco, CA: Jossey Bass.
26.
MillerL. (2014, November). 2014 state of the industry report: Spending on employee training remains a priority. TD Magazine, 30–35.
27.
MilliganC., & LittlejohnA. (2014). Supporting professional learning in a Massive Open Online Course. International Review of Research in Open and Distance Learning, 15(5), 197–213. Retrieved from http://www.irrodl.org/index.php/irrodl/article/view/1855
OswaldY., & Backes–GellnerU. (2014). Learning for a bonus: How financial incentives interact with preferences. Journal of Public Economics, 118, 52–61. doi:https://doi.org/10.1016/j.jpubeco.2014.06.003
30.
RivardL. P. (1994). A review of writing to learn in science: Implications for practice and research. Journal of Research in Science Teaching, 31(9), 969–983.
31.
SitzmannT., & ElyK. (2011). A meta–analysis of self–regulated learning in work–related training and educational attainment: what we know and where we need to go. Psychological Bulletin, 137(3), 421–442. doi:https://doi.org/10.1037/a0022777
StoneD. E., & ZhengJ. G. (2014). Learning management systems in a changing environment. In WangV. C. X. (Ed.), Handbook of Research on Education and Technology in a Changing Society (pp. 756–767). Hershey, PA: IGI Global.
34.
TaubM., AzevedoR., BouchetF., & KhosravifarB. (2014). Can the use of cognitive and metacognitive self–regulated learning strategies be predicted by learners’ levels of prior knowledge in hypermedia–learning environments?Computers in Human Behavior, 39, 356–367. doi:https://doi.org/10.1016/j.chb.2014.07.018
35.
Thuy PhamN., & SwierczekF. W. (2006). Facilitators of organizational learning in design. The Learning Organization, 13(2), 186–201. doi:https://doi.org/10.1108/09696470610645502
36.
Yelich BinieckiS. M. (2015). Adults’ perceptions of knowledge construction as participants in nonformal world affairs programs: An interpretive study. Adult Education Quarterly, 65(2), 116–132. doi:https://doi.org/10.1177/0741713614568886
