More Web Proxy on the site http://driver.im/

research-article

Perceptions and use of an early warning system during a higher education transition program

Authors:

Stephen Aguilar,

Stephanie D. TeasleyAuthors Info & Claims

LAK '14: Proceedings of the Fourth International Conference on Learning Analytics And Knowledge

Pages 113 - 117

https://doi.org/10.1145/2567574.2567625

Published: 24 March 2014 Publication History

Abstract

This paper reports findings from the implementation of a learning analytics-powered Early Warning System (EWS) by academic advisors who were novice users of data-driven learning analytics tools. The information collected from these users sheds new light on how student analytic data might be incorporated into the work practices of advisors working with university students. Our results indicate that advisors predominantly used the EWS during their meetings with students---despite it being designed as a tool to provide information to prepare for meetings and identify students who are struggling academically. This introduction of an unintended audience brings significant design implications to bear that are relevant for learning analytics innovations.

References

[1]

Beyer, H., and Holtzblatt, K. (1998). Contextual design: Defining customer-centered systems. San Francisco: Morgan Kaufmann.

Digital Library

[2]

Quinones, P., Teasley, S. D., & Lonn, S. (2013). Appropriation by Unanticipated Users: Looking Beyond Design Intent and Expected Use. Proceedings of the ACM Conference on Computer-Supported Cooperative Work (pp. 1515--1526). San Antonio, TX: ACM.

Digital Library

[3]

Dourish, P. (2003). The appropriation of interactive technologies: Some lessons from placeless documents. Computer Supported Cooperative Work, 12, 465--490.

Digital Library

[4]

Orlikowski, W. J. (1992b). Learning from Notes: Organizational Issues in Groupware Implementation. CSCW Proceedings '92, 237--250.

Digital Library

[5]

Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35, 982--1002.

Digital Library

[6]

Drachsler, H. & Greller, W. (2012). The pulse of learning analytics understandings and expectations from the stakeholders. Paper presented at The 2nd International Conference on Learning Analytics and Knowledge. Vancouver, BC, Canada.

Digital Library

[7]

Lonn, S., Krumm, A. E., Waddington, R. J., and Teasley, S. D. (2012). Bridging the gap from knowledge to action: Putting analytics in the hands of academic advisors. Paper presented at The 2nd International Conference on Learning Analytics and Knowledge. Vancouver, BC, Canada.

Digital Library

[8]

Lonn, S., Aguilar, S., & Teasley, S. D. (2013). Issues, challenges, and lessons learned when scaling up a learning analytics intervention. Proceedings of the Third International Conference on Learning Analytics and Knowledge (pp. 235--239). Leuven, Belgium: ACM.

Digital Library

[9]

Krumm, A. E., Waddington, R. J., Lonn, S., & Teasley, S. D. (In Press). A learning management system-based early warning system for academic advising in undergraduate engineering. In (J. Larusson & B. White, Eds.) Handbook of Learning Analytics: Methods, Tools and Approaches. New York: Springer-Verlag.

[10]

Venkatesh, V., Speier, C., & Morris, M. G. (2002). User acceptance enablers in individual decision making about technology: Toward an integrated model. Decision Sciences, 33(2), 297--316.

[11]

Fielstein, L. L., Scoles, M. T., & Webb, K. J. (1992). Differences in traditional and nontraditional students' preferences for advising services and perceptions of services received. NACADA Journal, 12(2), 5--12.

[12]

Creamer, D. G., & Creamer, E. G. (1994). Practicing developmental advising: Theoretical contexts and functional applications. NACADA Journal, 14(2), 17--24.

[13]

Frost, S. H. (1991). Academic Advising for Student Success: A System of Shared Responsibility. ASHE-ERIC Higher Education Report No. 3, 1991. ASHE-ERIC Higher Education Reports, The George Washington University, One Dupont Circle, Suite 630, Washington, DC 20036.

[14]

Mottarella, K. E., Fritzsche, B. A., & Cerabino, K. C. (2004). What do students want in advising? A policy capturing study. NACADA Journal, 24(1), 48--61.

[15]

Cobb, P., Confrey, J., diSessa, A., Lehrer, R., & Schauble, L. (2003). Design experiments in educational research. Educational Researcher, 32(1), 9--13, 35--37.

[16]

Barab, S. A. & Squire, K. D. (2004). Design-based research: Putting a stake in the ground. Journal of the Learning Sciences, 13(1), 1--14.

Cited By

Raghavendra AHalaswamy DVijayakumar GSandhya S(2024)Unlocking Academic SuccessHuman Resource Strategies in the Era of Artificial Intelligence10.4018/979-8-3693-6412-3.ch009(207-230)Online publication date: 4-Oct-2024
https://doi.org/10.4018/979-8-3693-6412-3.ch009
Zamecnik AKovanović VGrossmann GJoksimović SJolliffe GGibson DPardo A(2022)Team interactions with learning analytics dashboardsComputers & Education10.1016/j.compedu.2022.104514185:COnline publication date: 1-Aug-2022
https://dl.acm.org/doi/10.1016/j.compedu.2022.104514
Mohammadhassan NMitrovic A(2022)Investigating the Effectiveness of Visual Learning Analytics in Active Video WatchingArtificial Intelligence in Education10.1007/978-3-031-11644-5_11(127-139)Online publication date: 27-Jul-2022
https://doi.org/10.1007/978-3-031-11644-5_11
Show More Cited By

Index Terms

Perceptions and use of an early warning system during a higher education transition program
1. Applied computing
  1. Education
  2. Enterprise computing
2. Social and professional topics
  1. Professional topics
    1. Computing education

Recommendations

Bridging the gap from knowledge to action: putting analytics in the hands of academic advisors
LAK '12: Proceedings of the 2nd International Conference on Learning Analytics and Knowledge

This paper presents current findings from an ongoing design-based research project aimed at developing an early warning system (EWS) for academic mentors in an undergraduate engineering mentoring program. This paper details our progress in mining ...
Exploring the New Practice of Higher Education Academic Advising Based on Educational Data Analysis Technology
ICEMT '22: Proceedings of the 6th International Conference on Education and Multimedia Technology

In the era of big data, the use of big data analysis technology in the educational field can change traditional and backward educational concepts and ways of thinking. Universities have more real and valuable data information in the process of ...
Improving Higher Education: Learning Analytics & Recommender Systems Research
RecSys '17: Proceedings of the Eleventh ACM Conference on Recommender Systems

An enduring issue in higher education is student retention to successful graduation. Studies in the U.S. report that average six-year graduation rates across higher-education institutions is 59% and have remained relatively stable over the last 15 ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Other conferences

LAK '14: Proceedings of the Fourth International Conference on Learning Analytics And Knowledge

March 2014

301 pages

ISBN:9781450326643

DOI:10.1145/2567574

Conference Chairs:
Mattew Pistilli
Purdue University, IN
,
James Willis
Purdue University, IN
,
Drew Koch
John N. Gardner Institute for Excellence in Undergraduate Education, NC
,
Kimberly Arnold
University of Wisconsin-Madison, WI
,
Program Chairs:
Stephanie Teasley
University of Michigan, MI
,
Abelardo Pardo
The University of Sydney, Australia

Copyright © 2014 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

Sponsors

JNGI: John N. Gardner Institute for Excellence in Undergraduate Education
University of Wisc-Madison: University of Wisconsin-Madison
SoLAR: The Society for Learning Analytics Research
Purdue University: Purdue University

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 March 2014

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Funding Sources

University of Michigan

Conference

LAK '14

Sponsor:

JNGI
University of Wisc-Madison
SoLAR
Purdue University

LAK '14: Learning Analytics and Knowledge Conference 2014

March 24 - 28, 2014

Indiana, Indianapolis, USA

Acceptance Rates

LAK '14 Paper Acceptance Rate 13 of 44 submissions, 30%;

Overall Acceptance Rate 236 of 782 submissions, 30%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

27
Total Citations
View Citations
800
Total Downloads

Downloads (Last 12 months)40
Downloads (Last 6 weeks)3

Reflects downloads up to 04 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

Raghavendra AHalaswamy DVijayakumar GSandhya S(2024)Unlocking Academic SuccessHuman Resource Strategies in the Era of Artificial Intelligence10.4018/979-8-3693-6412-3.ch009(207-230)Online publication date: 4-Oct-2024
https://doi.org/10.4018/979-8-3693-6412-3.ch009
Zamecnik AKovanović VGrossmann GJoksimović SJolliffe GGibson DPardo A(2022)Team interactions with learning analytics dashboardsComputers & Education10.1016/j.compedu.2022.104514185:COnline publication date: 1-Aug-2022
https://dl.acm.org/doi/10.1016/j.compedu.2022.104514
Mohammadhassan NMitrovic A(2022)Investigating the Effectiveness of Visual Learning Analytics in Active Video WatchingArtificial Intelligence in Education10.1007/978-3-031-11644-5_11(127-139)Online publication date: 27-Jul-2022
https://doi.org/10.1007/978-3-031-11644-5_11
de Oliveira CSobral SFerreira MMoreira F(2021)How Does Learning Analytics Contribute to Prevent Students’ Dropout in Higher Education: A Systematic Literature ReviewBig Data and Cognitive Computing10.3390/bdcc50400645:4(64)Online publication date: 4-Nov-2021
https://doi.org/10.3390/bdcc5040064
Sekonyela L(2021)Best Practices to Address Inequities in Academic Support in the University Access ProgramJournal of Ethnic and Cultural Studies10.29333/ejecs/7438:3(40-61)Online publication date: 27-May-2021
https://doi.org/10.29333/ejecs/743
Sekonyela L(2021)Student Challenges with the University Access Program in South AfricaJournal of Ethnic and Cultural Studies10.29333/ejecs/5928:1(239-269)Online publication date: 23-Jan-2021
https://doi.org/10.29333/ejecs/592
Ott CMills SStanger NJohn SZwanenburg S(2021)Is this Degree for Me?Exploring computing students’ study decisionsProceedings of the 23rd Australasian Computing Education Conference10.1145/3441636.3442310(96-105)Online publication date: 2-Feb-2021
https://dl.acm.org/doi/10.1145/3441636.3442310
Jones KMcCoy C(2020)Reconsidering data in learning analyticsThe Datafication of Education10.4324/9780429341359-6(69-80)Online publication date: 21-May-2020
https://doi.org/10.4324/9780429341359-6
Guerra JOrtiz-Rojas MZúñiga‐Prieto MScheihing EJiménez ABroos TDe Laet TVerbert K(2020)Adaptation and evaluation of a learning analytics dashboard to improve academic support at three Latin American universitiesBritish Journal of Educational Technology10.1111/bjet.1295051:4(973-1001)Online publication date: Jun-2020
https://doi.org/10.1111/bjet.12950
Jones KRubel ALeClere E(2020)A matter of trustJournal of the Association for Information Science and Technology10.1002/asi.2432771:10(1227-1241)Online publication date: 11-Sep-2020
https://dl.acm.org/doi/10.1002/asi.24327
Show More Cited By

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents