TY - JOUR
T1 - The academic analytics tool
T2 - Workflow and use cases
AU - Ross, Tamra
AU - Chang, Ting Wen
AU - Ives, Cindy
AU - Parker, Nancy
AU - Han, Andrew
AU - Graf, Sabine
N1 - Publisher Copyright:
© 2017, Springer Science+Business Media Singapore.
PY - 2017
Y1 - 2017
N2 - To meet the demand for timely analysis and revision of online courses, educators need ongoing, unfettered access to data about how students interact with courses and online resources. Currently available tools for exploring student data provide some important insights, but are typically focused on automated data mining, visualizations, or displaying pre-set reports. These tools also often require either high technical skills and/or installation of specialized software, making them inaccessible to most educators and learning designers. In this paper, we introduce the Academic Analytics Tool (AAT) and provide some hands-on examples on how the tool can be used. AAT is designed to allow people (e.g., educators, learning designers, etc.) without technical expertise to extract and analyse data from learning management systems (LMSs). AAT offers high usability and permits full exploration of LMSs’ data on any computer with internet access to foster responsive analysis and improvement of online courses.
AB - To meet the demand for timely analysis and revision of online courses, educators need ongoing, unfettered access to data about how students interact with courses and online resources. Currently available tools for exploring student data provide some important insights, but are typically focused on automated data mining, visualizations, or displaying pre-set reports. These tools also often require either high technical skills and/or installation of specialized software, making them inaccessible to most educators and learning designers. In this paper, we introduce the Academic Analytics Tool (AAT) and provide some hands-on examples on how the tool can be used. AAT is designed to allow people (e.g., educators, learning designers, etc.) without technical expertise to extract and analyse data from learning management systems (LMSs). AAT offers high usability and permits full exploration of LMSs’ data on any computer with internet access to foster responsive analysis and improvement of online courses.
KW - Academic analytics
KW - Data extraction and analysis
KW - Online learning
UR - http://www.scopus.com/inward/record.url?scp=85032351596&partnerID=8YFLogxK
U2 - 10.1007/978-981-10-2419-1_32
DO - 10.1007/978-981-10-2419-1_32
M3 - Journal Article
AN - SCOPUS:85032351596
SN - 2196-4963
SP - 233
EP - 237
JO - Lecture Notes in Educational Technology
JF - Lecture Notes in Educational Technology
IS - 9789811024184
ER -