TY - GEN
T1 - What do students want? Towards an instrument for students’ evaluation of quality of learning analytics services
AU - Whitelock-Wainwright, Alexander
AU - Gasevic, Dragan
AU - Tejeiro, Ricardo
PY - 2017/3/13
Y1 - 2017/3/13
N2 - Quality assurance in any organization is important for ensuring that service users are satisfied with the service offered. For higher education institutes, the use of service quality measures allows for ideological gaps to be both identified and resolved. The learning analytic community, however, has rarely addressed the concept of service quality. A potential outcome of this the provision of a learning analytics service that only meets the expectations of certain stakeholders (e.g., managers), whilst overlooking those who are most important (e.g., students). In order to resolve this issue, we outline a framework and our current progress towards developing a scale to assess student expectations and perceptions of learning analytics as a service.
AB - Quality assurance in any organization is important for ensuring that service users are satisfied with the service offered. For higher education institutes, the use of service quality measures allows for ideological gaps to be both identified and resolved. The learning analytic community, however, has rarely addressed the concept of service quality. A potential outcome of this the provision of a learning analytics service that only meets the expectations of certain stakeholders (e.g., managers), whilst overlooking those who are most important (e.g., students). In order to resolve this issue, we outline a framework and our current progress towards developing a scale to assess student expectations and perceptions of learning analytics as a service.
KW - service quality
KW - action research
KW - learning analytics
U2 - 10.1145/3027385.3027419
DO - 10.1145/3027385.3027419
M3 - Conference contribution
T3 - ACM International Conference Proceeding Series
SP - 368
EP - 372
BT - Proceedings of the 7th International Conference on Learning Analytics and Knowledge (LAK 2017)
PB - ACM Press
ER -