TY - GEN
T1 - For learners, with learners
T2 - 15th European Conference on Technology Enhanced Learning, EC-TEL 2020
AU - Hilliger, Isabel
AU - De Laet, Tinne
AU - Henríquez, Valeria
AU - Guerra, Julio
AU - Ortiz-Rojas, Margarita
AU - Zuñiga, Miguel Ángel
AU - Baier, Jorge
AU - Pérez-Sanagustín, Mar
N1 - Publisher Copyright:
© Springer Nature Switzerland AG 2020.
PY - 2020
Y1 - 2020
N2 - Learning Analytics (LA) dashboards aggregate indicators about student performance and demographics to support academic advising. The majority of existing dashboards are targeted at advisors and professors, but not much attention has been put into students’ need for information for their own academic decision-making. In this study, we identify relevant indicators from a student perspective using a mixed methods approach. Qualitative data was obtained from an open-ended online questionnaire answered by 31 student representatives, and quantitative data was collected from a closed-ended online questionnaire answered by 652 students from different cohorts. Findings point out relevant indicators to help students choose what courses to take in an upcoming academic period. Since this study is part of a large research project that has motivated the adoption of academic advising dashboards in different Latin American universities, these findings were also contrasted with indicators of these advising dashboards, informing future developments targeting students.
AB - Learning Analytics (LA) dashboards aggregate indicators about student performance and demographics to support academic advising. The majority of existing dashboards are targeted at advisors and professors, but not much attention has been put into students’ need for information for their own academic decision-making. In this study, we identify relevant indicators from a student perspective using a mixed methods approach. Qualitative data was obtained from an open-ended online questionnaire answered by 31 student representatives, and quantitative data was collected from a closed-ended online questionnaire answered by 652 students from different cohorts. Findings point out relevant indicators to help students choose what courses to take in an upcoming academic period. Since this study is part of a large research project that has motivated the adoption of academic advising dashboards in different Latin American universities, these findings were also contrasted with indicators of these advising dashboards, informing future developments targeting students.
KW - Academic advising
KW - Higher education
KW - Learning analytics
KW - Learning dashboards
UR - https://www.scopus.com/pages/publications/85091147185
U2 - 10.1007/978-3-030-57717-9_9
DO - 10.1007/978-3-030-57717-9_9
M3 - Contribución a la conferencia
AN - SCOPUS:85091147185
SN - 9783030577162
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 117
EP - 130
BT - Addressing Global Challenges and Quality Education - 15th European Conference on Technology Enhanced Learning, EC-TEL 2020, Proceedings
A2 - Alario-Hoyos, Carlos
A2 - Rodríguez-Triana, María Jesús
A2 - Scheffel, Maren
A2 - Arnedillo-Sánchez, Inmaculada
A2 - Dennerlein, Sebastian Maximilian
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 14 September 2020 through 18 September 2020
ER -