Chapter 17 Remote Academic Advising for Colleges and Universities

A New Model

In: Handbook of Research in Online Learning
Authors:
Charles Xiaoxue Wang
Search for other papers by Charles Xiaoxue Wang in
Current site
Google Scholar
PubMed
Close
,
Michael Houdyshell
Search for other papers by Michael Houdyshell in
Current site
Google Scholar
PubMed
Close
, and
Ying Xie
Search for other papers by Ying Xie in
Current site
Google Scholar
PubMed
Close

Purchase instant access (PDF download and unlimited online access):

$40.00

Abstract

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.

  • Collapse
  • Expand
  • Amador, P., & Amador, J. (2013). Academic advising via Facebook: Examining student help-seeking. Internet and Higher Education, 21, 916. https://doi.org/10.1016/j.iheduc.2013.10.003

    • Search Google Scholar
    • Export Citation
  • 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. 185202). STAR Scholars.

    • Search Google Scholar
    • Export Citation
  • Arguello, G., & Mendez, M. G. (2019). Virtual advising: A tool for retention, engagement, and success for the graduate student learner. Distance Learning, 16(2), 5157.

    • Search Google Scholar
    • Export Citation
  • 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.

    • Search Google Scholar
    • Export Citation
  • 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.

    • Search Google Scholar
    • Export Citation
  • Champlin-Scharff, S. (2010). Advising with understanding: Considering hermeneutic theory in academic advising. NACADA Journal, 30(1). 5965. https://doi.org/10.12930/0271-9517-30.1.59

    • Search Google Scholar
    • Export Citation
  • Creswell, J. W. (2008). Educational research: Planning, conducting, and evaluating quantitative and qualitative research (3rd ed.). Pearson.

    • Search Google Scholar
    • Export Citation
  • 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), 319339. https://doi.org/10.2307/249008

    • Search Google Scholar
    • Export Citation
  • 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), 11111132. https://doi.org/10.1111/j.1559-1816.1992.tb00945.x

    • Search Google Scholar
    • Export Citation
  • 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), 582587. https://doi.org/10.1016/j.acalib.2013.01.006

    • Search Google Scholar
    • Export Citation
  • 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), 413448.

    • Search Google Scholar
    • Export Citation
  • Gaines, T. (2014). Technology and academic advising: Student usage and preferences. NACADA Journal, 34(1), 4349. https://doi.org/10.12930/NACADA-13-011

    • Search Google Scholar
    • Export Citation
  • 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), 233243. https://doi.org/10.14569/IJACSA.2015.060831

    • Search Google Scholar
    • Export Citation
  • Jones, S. J., & Hansen, K. (2014). Virtual intrusive advising: Supporting community college students through web-based synchronous technologies. The Community College Enterprise, 20(1). 8892.

    • Search Google Scholar
    • Export Citation
  • 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), 5466. https://doi.org/10.12930/NACADA-16-014

    • Search Google Scholar
    • Export Citation
  • Koehler, M. J., & Mishra, P. (2014). Introducing TPCK. In Handbook of Technological Pedagogical Content Knowledge (TPCK) for educators (pp. 1340). Routledge.

    • Search Google Scholar
    • Export Citation
  • Kucuk, S., & Richardson, J. C. (2019). A structural equation model of predictors of online learners’ engagement and satisfaction. Online Learning, 23(2), 196216. https://doi.org/10.24059/olj.v23i2.1455

    • Search Google Scholar
    • Export Citation
  • 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. 316). Jossey-Bass.

    • Search Google Scholar
    • Export Citation
  • Lowenthal, P. R. (2010). Social presence. In Social computing: Concepts, methodologies, tools, and applications (pp. 129136). IGI Global. https://doi.org/10.4018/978-1-60566-984-7.ch011

    • Search Google Scholar
    • Export Citation
  • 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.

    • Search Google Scholar
    • Export Citation
  • 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), 19. https://doi.org/10.1080/01587919.2022.2121264

    • Search Google Scholar
    • Export Citation
  • 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), 192222. https://doi.org/10.1287/isre.2.3.192

    • Search Google Scholar
    • Export Citation
  • NACADA: The Global Community for Academic Advising. (2006). Concept of academic advising. https://www.nacada.ksu.edu/Resources/Pillars/Concept.aspx

    • Search Google Scholar
    • Export Citation
  • NACADA: The Global Community for Academic Advising. (2017). NACADA academic advising core competencies model. https://www.nacada.ksu.edu/Resources/Pillars/CoreCompetencies.aspx

    • Search Google Scholar
    • Export Citation
  • 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

    • Search Google Scholar
    • Export Citation
  • 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.

    • Search Google Scholar
    • Export Citation
  • 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), 5362. https://doi.org/10.12930/0271-9517-32.1.53

    • Search Google Scholar
    • Export Citation
  • Reigeluth, C. M., & Karnopp, J. R. (2020). Vision and action: Two sides of the coin for systemic change in educational systems. TechTrends, 64(5), 769778. https://doi.org/10.1007/s11528-020-00528-x

    • Search Google Scholar
    • Export Citation
  • Reyes, J. I., & Meneses, J. (2022). Advising college students with dis/abilities in online learning. Distance Education, 43(4). 526542. https://doi.org/10.1080/01587919.2022.2121264

    • Search Google Scholar
    • Export Citation
  • 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), 111126. https://doi.org/10.1016/S0167-9236(01)00139-7

    • Search Google Scholar
    • Export Citation
  • Shroeder, S. M., & Terras, K. L. (2015). Advising experiences and the needs of online, cohort, and classroom adult graduate learners. NACADA Journal, 35(1), 4255. https://doi.org/10.12930/NACADA-13-044

    • Search Google Scholar
    • Export Citation
  • 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), 5063. https://dx.doi.org/10.12930/NACADA-13-019

    • Search Google Scholar
    • Export Citation
  • 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), 5968. https://doi.org/10.1002/he.20303

    • Search Google Scholar
    • Export Citation
  • Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information Systems Research, 6(2), 144176. https://doi.org/10.1287/isre.6.2.144

    • Search Google Scholar
    • Export Citation
  • Thompson, R. L., Higgins, C. A., & Howell, J. A. (1991). Personal computing: Toward a conceptual model of utilization. MIS Quarterly, 15(1), 125143. https://doi.org/10.2307/249443

    • Search Google Scholar
    • Export Citation
  • 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), 425478. https://doi.org/10.2307/30036540

    • Search Google Scholar
    • Export Citation
  • Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186204. https://doi.org/10.1287/mnsc.46.2.186.11926

    • Search Google Scholar
    • Export Citation
  • Wang, C. X., & Houdyshell, M. (2021). Remote academic advising using synchronous technology: Knowledge, experiences, and perceptions from students. NACADA Journal, 42(2), 4052. https://doi.org/10.12930/NACADA-20-27

    • Search Google Scholar
    • Export Citation
  • 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, 111131. https://doi.org/10.5590/JERAP.2022.12.1.09

    • Search Google Scholar
    • Export Citation
  • Wang, C. X., Jaeger, D., Liu, J., Guo, X., & Xie, N. (2013). Using synchronous technology to enrich student learning. TechTrends, 57(1), 2025. https://doi.org/10.1007/s11528-012-0626-9

    • Search Google Scholar
    • Export Citation
  • Wang, F., & Hannafin, M. J. (2005). Design-based research and technology-enhanced learning environments. Educational technology research and development, 53(4), 523.

    • Search Google Scholar
    • Export Citation
  • Wilcox, E. (2017, July 31). The technologist’s advising curriculum. EDUCAUSE Review. https://er.educause.edu/blogs/2017/7/the-technologists-advising-curriculum

    • Search Google Scholar
    • Export Citation
  • 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

    • Search Google Scholar
    • Export Citation
  • 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), 719. https://doi.org/10.1108/09684881311293034

    • Search Google Scholar
    • Export Citation

Metrics

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