Herodotou, Christothea; Shrestha, Sagun; Comfort, Catherine; Andrews, Heshan; Mulholland, Paul; Bayer, Vaclav; Maguire, Claire; Lee, John; Fernandez, Miriam
A Participatory Approach to Designing a Student-Facing Dashboard for Online and Distance Education Artikel
In: Journal of Learning Analytics, Bd. 12, Nr. 2, S. 158–174, 2025, ISSN: 1929-7750.
Abstract | Links | BibTeX | Schlagwörter: distance learning, LADs, learning analytics dashboards, O, online students, participatory design, research paper
@article{Herodotou2025,
title = {A Participatory Approach to Designing a Student-Facing Dashboard for Online and Distance Education},
author = {Christothea Herodotou and Sagun Shrestha and Catherine Comfort and Heshan Andrews and Paul Mulholland and Vaclav Bayer and Claire Maguire and John Lee and Miriam Fernandez},
url = {https://doi.org/10.18608/jla.2025.8481},
doi = {10.18608/jla.2025.8481},
issn = {1929-7750},
year = {2025},
date = {2025-07-08},
urldate = {2025-07-01},
journal = {Journal of Learning Analytics},
volume = {12},
number = {2},
pages = {158–174},
abstract = {In this paper, we explore the design of a student-facing dashboard for online and distance learning with a focus on capturing and addressing specific learning needs. A participatory process involving 20 students was employed, which included a screening questionnaire and focus group discussions. The selection of data points to be displayed on the dashboard was mainly determined by student responses regarding the usefulness of a feature, and a high frequency of their agreement. The data analysis revealed that the learning needs of online students relate to course support and communication (with tutors and other students). In response to this, students expressed a desire for accessing information related to their assignments, study time, and tutorials. The data points endorsed by students related to descriptive (assignment scores, engagement with the virtual learning environment, material accessed), predictive (score prediction), and prescriptive data (material recommendations and contact information). Student choices of data points were driven by a desire to better understand their study progress and take appropriate action. These insights emphasize the need for designing dashboards that not only describe performance but foremost “prescribe” to students potential solutions to overcome performance challenges.},
keywords = {distance learning, LADs, learning analytics dashboards, O, online students, participatory design, research paper},
pubstate = {published},
tppubtype = {article}
}
In this paper, we explore the design of a student-facing dashboard for online and distance learning with a focus on capturing and addressing specific learning needs. A participatory process involving 20 students was employed, which included a screening questionnaire and focus group discussions. The selection of data points to be displayed on the dashboard was mainly determined by student responses regarding the usefulness of a feature, and a high frequency of their agreement. The data analysis revealed that the learning needs of online students relate to course support and communication (with tutors and other students). In response to this, students expressed a desire for accessing information related to their assignments, study time, and tutorials. The data points endorsed by students related to descriptive (assignment scores, engagement with the virtual learning environment, material accessed), predictive (score prediction), and prescriptive data (material recommendations and contact information). Student choices of data points were driven by a desire to better understand their study progress and take appropriate action. These insights emphasize the need for designing dashboards that not only describe performance but foremost “prescribe” to students potential solutions to overcome performance challenges.