The Role of Supervisors in Asynchronous Learning Models for Dissertation Teaching

Main Article Content

Doug Specht
https://orcid.org/0000-0001-6480-3732
Harriet Lowe
https://orcid.org/0000-0001-7239-0966

Abstract

This study examines the extent to which timing of supervisor allocation, module commencement date, and mode of delivery (e.g., hybrid, campus-based, fully remote) impacts on MA dissertation students’ final dissertation projects. The study collected data from 240 masters’ students at a post-92 university, undertaking their dissertation during the global pandemic and without access to a campus or in-personal teaching and tutorials. The students had different supervision patterns, course start times, and access to campus for other essential modules (as allowed under the rules of the time), which provided us with important data about how these facts affected students learning and completing of their dissertation. Engagement was measured in regards to completion of the online units, as well as scores on these. Data were also collected in relation to students’ opinions regarding their experience completing the online units as well as their general experience through the dissertation process. Results saw that supervisor allocation was the most important factor when it came to final dissertation scores and engagement with the online materials.

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How to Cite
Specht, D., & Lowe, H. (2025). The Role of Supervisors in Asynchronous Learning Models for Dissertation Teaching. Journal of the Scholarship of Teaching and Learning, 25(4). https://doi.org/10.14434/josotl.v25i4.37528
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References

Astin, A. W. (1984). Student involvement: A developmental theory for higher education. Journal of college student personnel, 25(4), 297-308.

Bohlin, R. M., & Hunt, N. P. (1995). Course structure effects on students' computer anxiety, confidence and attitudes. Journal of Educational Computing Research, 13(3), 263-270.

Chou, C. C. (2002, January). A comparative content analysis of student interaction in synchronous and asynchronous learning networks. In Proceedings of the 35th annual Hawaii international conference on system sciences (pp. 1795-1803). IEEE.

Coppola, N. W., Hiltz, S. R., & Rotter, N. G. (2002). Becoming a virtual professor: Pedagogical roles and asynchronous learning networks. Journal of management information systems, 18(4), 169-189.

Cremin, H., Thomas, G., & Vincett, K. (2005). Working with teaching assistants: three models evaluated. Research papers in education, 20(4), 413-432.

DeNeui, D. L., & Dodge, T. L. (2006). Asynchronous learning networks and student outcomes: The utility of online learning components in hybrid courses. Journal of Instructional Psychology, 33(4).

DeNeui, D. L., & Dodge, T. L. (2006). Asynchronous learning networks and student outcomes: The utility of online learning components in hybrid courses. Journal of Instructional Psychology, 33(4).

Firth, A. and Martens, E. (2008) ‘Transforming supervisors? A critique of post-liberal approaches to research supervision’, Teaching in Higher Education, 13(3), pp.279-289. Available at: https://doi.org/10.1080/13562510802045303 (Accessed: 21 February 2022).

Garvis, S. and Pendergast, D. (2012) ‘The importance of supervision in higher education: key lessons learnt from a relational approach’, in Garvis, S. and Dwyer, R. (eds.) Whisperings from the Corridors. Leiden, The Netherlands: Sense Publishers, pp.25-34. Available at: https://doi.org/10.1007/978-94-6209-164-1_3 (Accessed: 21 February 2022).

Goldsmid, C. A., & Wilson, E. K. (1980). Passing on sociology: The teaching of a discipline.

Hammond, M. (2005). A review of recent papers on online discussion in teaching and learning in higher education. Journal of asynchronous learning networks, 9(3), 9-23.

Hiltz, S. R., & Wellman, B. (1997). Asynchronous learning networks as a virtual classroom. Communications of the ACM, 40(9), 44-49.

Hmelo, C. E., & Ferrari, M. (1997). The problem-based learning tutorial: Cultivating higher order thinking skills. Journal for the Education of the Gifted, 20(4), 401-422.

Jaffee, D. (1997). Asynchronous learning: Technology and pedagogical strategy in a distance learning course. Teaching Sociology, 262-277.

Janta, H., Lugosi, P., & Brown, L. (2014). Coping with loneliness: A netnographic study of doctoral students. Journal of further and Higher Education, 38(4), 553-571.

Jena, A. K., & Gupta, S. (2019). Effects of Online Technology Based Scaffolding on Asynchronous Learning Performance of Students. Online Submission, 22(14), 6919-6939.

Jisc (2020) Teaching staff digital experience insights survey 2020 UK higher education (HE) survey findings. Jisc: London.

Kiesler, S., Siegel, J., & McGuire, T. W. (1984). Social psychological aspects of computer-mediated communication. American psychologist, 39(10), 1123.

Kirby, E., and Driscoll, M. (1997) Facilitator and students roles and performance in a high school distance education course. Paper presented at the annual meeting of the Association of American Education Research Association, Chicago, March 1997.

Kulik, J. A., & Kulik, C. L. C. (1988). Timing of feedback and verbal learning. Review of educational research, 58(1), 79-97.

Li, T., Greenberg, B. A., & Nicholls, J. A. F. (2007). Teaching experiential learning: Adoption of an innovative course in an MBA marketing curriculum. Journal of marketing education, 29(1), 25-33.

Moore, M. G. (1989). Editorial: Three types of interaction. The American Journal of Distance Education, 3(2), 1-6.

Northey, G., Bucic, T., Chylinski, M., & Govind, R. (2015). Increasing student engagement using asynchronous learning. Journal of Marketing Education, 37(3), 171-180.

Petrie, H.G. 1981. The Dilemma of Enquiry and Learning. Chicago: University of Chicago Press

Ramchander, M., & Naude, M. J. (2018). The relationship between increasing enrolment and student academic achievement in higher education. Africa Education Review, 15(4), 135-151.

Rovai, A. P. (2000). Building and sustaining community in asynchronous learning networks. The Internet and higher education, 3(4), 285-297.

Rovai, A. P. (2002). Sense of community, perceived cognitive learning, and persistence in asynchronous learning networks. The Internet and Higher Education, 5(4), 319-332.

Rovai, A. P. (2002). Sense of community, perceived cognitive learning, and persistence in asynchronous learning networks. The Internet and Higher Education, 5(4), 319-332.

Schifter, C. C. (2000). Faculty participation in asynchronous learning networks: A case study of motivating and inhibiting factors. Journal of Asynchronous Learning Networks, 4(1), 15-22.

Specht, D. (2021) This year’s students will not give universities the benefit of the doubt when it comes to online learning. WonkHE [online] Available from: https://wonkhe.com/blogs/this-years-students-will-not-give-universities-the-benefit-of-the-doubt-when-it-comes-to-online-learning/

Specht, D., Chatterton, P., Hartley, P., & Saunders, G. (2021). Developing Belief in Online Teaching: Efficacy and digital transformation. Journal of Perspectives in Applied Academic Practice, 9(2), 68-76.

Specht, D. (2019). The Issue of Blogging: Using Visual Network Analysis to go Beyond Self-reporting Studies of Blogging. Journal of Learning and Teaching in the Digital Age, 4(2).

Twigg, C. A. (2009). Using asynchronous learning in redesign: Reaching and retaining the at-risk student. Journal of Asynchronous Learning Networks, 13(3), 147-155.

Verduin Jr, J. R., Verduin, J. R., & Clark, T. A. (1991). Distance education: The foundations of effective practice. Jossey-Bass.

Vygotsky, L. S., & Cole, M. (1978). Mind in society: Development of higher psychological processes. Harvard university press.

Weller, M. (2020) 25 Years of Ed Tech. Athabasca University Press. DOI: https://doi.org/10.15215/aupress/9781771993050.01