Purchase instant access (PDF download and unlimited online access):
Since the COVID-19 pandemic, university academic advisors have been forced to communicate remotely with their students using synchronous communication technologies (e.g., Microsoft Teams, Zoom, Google Meets, and Canvas Conference). This practice introduces remote academic advising (RAA). RAA practice created multiple challenges for both students and academic advisors and significantly increased the use of online technologies, which became a part of the “new norm” in academic advising post-COVID-19. As a crucial student support service, academic advising refers to the event where an institutional representative (academic advisor) “gives insight or direction to a college student about an academic, social, or personal matter” (Kuhn, 2008, p. 3). Using synchronous communication technology for RAA is a favorable choice for students and academic advisors because of its flexibility in accommodating student needs and rich communication and interactions to enhance advising effects. RAA needs further exploration to leverage its full power as a new model. Based on research findings, this chapter establishes a new academic advising model: RAA. The chapter also describes RAA by its functions, characteristics, and suggestions for effective RAA practice. Thus, this chapter contributes to the theoretical understanding and effective practice of RAA, which is increasingly used in many colleges and universities to support student learning and success.
Amador, P., & Amador, J. (2013). Academic advising via Facebook: Examining student help-seeking. Internet and Higher Education, 21, 9–16. https://doi.org/10.1016/j.iheduc.2013.10.003
Ammigan, R., & Liu, C. (2022). Humanizing the academic advising experience with technology: An integrative review. In R. Ammigan, R. Y. Chan, & K. Bista (Eds.), COVID-19 and higher education in the global context: Exploring contemporary issues and challenges (pp. 185–202). STAR Scholars.
Arguello, G., & Mendez, M. G. (2019). Virtual advising: A tool for retention, engagement, and success for the graduate student learner. Distance Learning, 16(2), 51–57.
Braxton, J. M., Doyle, W. R., Hartley, H. V., III, Hirschy, A. S., Jones, W. A., & McLendon, M. K. (2014). Rethinking college student retention. In Recommendations for policy & practice. Jossey-Bass.
Campbell, S., & Nutt, C. (2010). The role of academic advising in student retention and persistence. NACADA Pocket Guide Series, NACADA. Leigh Communications: Kansas State University.
Champlin-Scharff, S. (2010). Advising with understanding: Considering hermeneutic theory in academic advising. NACADA Journal, 30(1). 59–65. https://doi.org/10.12930/0271-9517-30.1.59
Creswell, J. W. (2008). Educational research: Planning, conducting, and evaluating quantitative and qualitative research (3rd ed.). Pearson.
Crowley, B. L. (2020, September 19). In expert hands? Globe and Mail, 3.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(2), 319–339. https://doi.org/10.2307/249008
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace. Journal of Applied Social Psychology, 22(14), 1111–1132. https://doi.org/10.1111/j.1559-1816.1992.tb00945.x
Flatley, R., Weber, M. A., Czerny, S., & Pham, S. (2013). Librarians and mandatory academic advising at a mid-sized public university: A case study. The Journal of Academic Librarianship, 39(6), 582–587. https://doi.org/10.1016/j.acalib.2013.01.006
Foulger, T. S., Graziano, K. J., Schmidt-Crawford, D., & Slykhuis, D. A. (2017). Teacher educator technology competencies. Journal of Technology and Teacher Education, 25(4), 413–448.
Gaines, T. (2014). Technology and academic advising: Student usage and preferences. NACADA Journal, 34(1), 43–49. https://doi.org/10.12930/NACADA-13-011
Henderson, L. K., & Goodridge, W. (2015). AdviseMe: An intelligent web-based application for academic advising. International Journal of Advanced Computing Science and Applications, 6(8), 233–243. https://doi.org/10.14569/IJACSA.2015.060831
Jones, S. J., & Hansen, K. (2014). Virtual intrusive advising: Supporting community college students through web-based synchronous technologies. The Community College Enterprise, 20(1). 88–92.
Junco, R., Mastrodicasa, J. M., Aguiar, J. V., Longnecker, E. M., & Rokkum, J. N. (2016). Impact of technology-mediated communication on student evaluations of advising. NACADA Journal, 36(2), 54–66. https://doi.org/10.12930/NACADA-16-014
Koehler, M. J., & Mishra, P. (2014). Introducing TPCK. In Handbook of Technological Pedagogical Content Knowledge (TPCK) for educators (pp. 13–40). Routledge.
Kucuk, S., & Richardson, J. C. (2019). A structural equation model of predictors of online learners’ engagement and satisfaction. Online Learning, 23(2), 196–216. https://doi.org/10.24059/olj.v23i2.1455
Kuhn, T. L. (2008). Historical foundations of academic advising. In V. N. Gordon, W. R. Habley, & T. J. Grites (Eds.), Academic advising: A comprehensive campus process (2nd ed., pp. 3–16). Jossey-Bass.
Lowenthal, P. R. (2010). Social presence. In Social computing: Concepts, methodologies, tools, and applications (pp. 129–136). IGI Global. https://doi.org/10.4018/978-1-60566-984-7.ch011
Madi-McCarthy, S. (2018). The impact of virtual academic advising services on student success and academic advising satisfaction in distance education (Publication No. 10977191) [Doctoral dissertation, University of St. Francis]. ProQuest Dissertations and Theses Global.
Magundu, J. (2022). Higher education institutional innovation: An analysis of challenges to e-academic advising during emergency remote teaching. South African Journal of Information Management, 24(1), 1–9. https://doi.org/10.1080/01587919.2022.2121264
McKenney, S., & Reeves, T. C. (2019). Conducting educational design research. Routledge.
Moore, G. C., & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, 2(3), 192–222. https://doi.org/10.1287/isre.2.3.192
NACADA: The Global Community for Academic Advising. (2006). Concept of academic advising. https://www.nacada.ksu.edu/Resources/Pillars/Concept.aspx
NACADA: The Global Community for Academic Advising. (2017). NACADA academic advising core competencies model. https://www.nacada.ksu.edu/Resources/Pillars/CoreCompetencies.aspx
Nutt, C. L. (2003). Advising and student persistence: The pressure rises. Academic Advising Journal, 26(1). https://nacada.ksu.edu/Resources/Academic-Advising-Today/View-Articles/Student-Retention-and-Persistence.aspx
Online education statistics. (2020, April 12). Educationdata.org
Pallant, J. (2011). SPSS survival manual: A step-by-step guide to data analysis using SPSS for Windows (3rd ed). McGraw Hill, Open University Press.
Pascarella, E. T., & Terenzini, P. T. (2005). How college affects students: A third decade of research. Jossey-Bass.
Paul, W. K., Smith, K. C., & Dochney, B. J. (2012). Advising a servant leadership: Investigating the relationship, NACADA Journal, 32(1), 53–62. https://doi.org/10.12930/0271-9517-32.1.53
Reigeluth, C. M., & Karnopp, J. R. (2020). Vision and action: Two sides of the coin for systemic change in educational systems. TechTrends, 64(5), 769–778. https://doi.org/10.1007/s11528-020-00528-x
Reyes, J. I., & Meneses, J. (2022). Advising college students with dis/abilities in online learning. Distance Education, 43(4). 526–542. https://doi.org/10.1080/01587919.2022.2121264
Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press.
Shim, J. P., Warkentin, M., Courtney, J. F., Power, D. J., Sharda, R., & Carlsson, C. (2002). Past, present, and future of decision support technology. Decision Support Systems, 33(2), 111–126. https://doi.org/10.1016/S0167-9236(01)00139-7
Shroeder, S. M., & Terras, K. L. (2015). Advising experiences and the needs of online, cohort, and classroom adult graduate learners. NACADA Journal, 35(1), 42–55. https://doi.org/10.12930/NACADA-13-044
Smith, C. L., & Allen, J. M. (2014). Does contact with advisors predict judgements and attitudes consistent with student success? A multi-institutional study. NACADA Journal, 34(1), 50–63. https://dx.doi.org/10.12930/NACADA-13-019
Steele, G. E. (2018). Student success: Academic advising, student learning data, and technology. In J. E. Joslin & W. G. Troxel (Eds.), New Directions for Higher Education, 2018(184), 59–68. https://doi.org/10.1002/he.20303
Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information Systems Research, 6(2), 144–176. https://doi.org/10.1287/isre.6.2.144
Thompson, R. L., Higgins, C. A., & Howell, J. A. (1991). Personal computing: Toward a conceptual model of utilization. MIS Quarterly, 15(1), 125–143. https://doi.org/10.2307/249443
Tinto, V. (1987). Leaving college: Rethinking the causes and cures of student attrition. University of Chicago Press.
Venkatesh, V., Morris, G. M., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926
Wang, C. X., & Houdyshell, M. (2021). Remote academic advising using synchronous technology: Knowledge, experiences, and perceptions from students. NACADA Journal, 42(2), 40–52. https://doi.org/10.12930/NACADA-20-27
Wang, C. X., Houdyshell, M., & Plescia, M. (2022). Synchronous communication technology for remote academic advising at a state university. Journal Educational Research and Practice, 12, 111–131. https://doi.org/10.5590/JERAP.2022.12.1.09
Wang, C. X., Jaeger, D., Liu, J., Guo, X., & Xie, N. (2013). Using synchronous technology to enrich student learning. TechTrends, 57(1), 20–25. https://doi.org/10.1007/s11528-012-0626-9
Wang, F., & Hannafin, M. J. (2005). Design-based research and technology-enhanced learning environments. Educational technology research and development, 53(4), 5–23.
Wilcox, E. (2017, July 31). The technologist’s advising curriculum. EDUCAUSE Review. https://er.educause.edu/blogs/2017/7/the-technologists-advising-curriculum
Williams, S. (2007). The application of theories of development to academic advising philosophy and practice. NACADA Clearinghouse of Academic Advising Resources. http://www.nacada.ksu.edu/Resources/Clearinghouse/View-Articles/Applying-Theory-to-Advising-Practice.aspx
Young-Jones, A. D., Burt, T. D., Dixon, S., & Hawthorne, M. J. (2013). Academic advising: Does it really impact student success? Quality Assurance in Education, 21(1), 7–19. https://doi.org/10.1108/09684881311293034
All Time | Past 365 days | Past 30 Days | |
---|---|---|---|
Abstract Views | 40 | 40 | 5 |
Full Text Views | 2 | 2 | 0 |
PDF Views & Downloads | 5 | 5 | 0 |
Terms and Conditions | Privacy Statement | Cookie Settings | Accessibility | Legal Notice | Copyright © 2016-2024
Copyright © 2016-2024