TY - GEN
T1 - AAT - A tool for accessing and analysing students' behaviour data in learning systems
AU - Graf, Sabine
AU - Ives, Cindy
AU - Rahman, Nazim
AU - Ferri, Arnold
PY - 2011
Y1 - 2011
N2 - In online learning environments, teachers and course designers often get little feedback about how students actually interact with and learn in online courses. Most of the learning systems used by educational institutions store comprehensive log data associated with students' behaviours and actions. However, these systems typically reveal or report on very general and limited information based on this data. In order to provide teachers and course designers with more detailed and meaningful information about students' behaviour and their use of learning resources within online courses, an analytics tool has been developed. The tool incorporates functionality to access and analyse data related to students' behaviours in learning systems. This tool can provide valuable information about students' learning processes allowing the identification of difficult or inappropriate learning material, and can therefore significantly contribute to the design of improved student support activities and resources.
AB - In online learning environments, teachers and course designers often get little feedback about how students actually interact with and learn in online courses. Most of the learning systems used by educational institutions store comprehensive log data associated with students' behaviours and actions. However, these systems typically reveal or report on very general and limited information based on this data. In order to provide teachers and course designers with more detailed and meaningful information about students' behaviour and their use of learning resources within online courses, an analytics tool has been developed. The tool incorporates functionality to access and analyse data related to students' behaviours in learning systems. This tool can provide valuable information about students' learning processes allowing the identification of difficult or inappropriate learning material, and can therefore significantly contribute to the design of improved student support activities and resources.
KW - Academic analytics
KW - Data extraction and analysis
KW - Learning systems
UR - http://www.scopus.com/inward/record.url?scp=84856341035&partnerID=8YFLogxK
U2 - 10.1145/2090116.2090145
DO - 10.1145/2090116.2090145
M3 - Published Conference contribution
AN - SCOPUS:84856341035
SN - 9781450310574
T3 - ACM International Conference Proceeding Series
SP - 174
EP - 179
BT - LAK'11 - Proceedings of the 1st International Conference on Learning Analytics and Knowledge
T2 - 1st International Conference on Learning Analytics and Knowledge, LAK'11
Y2 - 27 February 2011 through 1 March 2011
ER -