TY - GEN
T1 - An Instrument for Self-assessment of Data Literacy at the Micro, Meso, and Macro Educational Levels
AU - Donate, Belén
AU - García-Peñalvo, Francisco José
AU - Amo, Daniel
AU - de Torres Gómez, Eduard
AU - Herrero-Martín, Javier
N1 - Funding Information:
The research that has given rise to these results has been carried out through funds from Secretariat of Universities and Research of the Generalitat de Catalunya, and Ramon Llull Univ. Ref. Project: 2021-URL-Proj-057.
Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - In only two years, COVID-19 has forced the transformation of the educational system with emergency and radical changes concerning the digitalisation and virtualisation of classrooms. A new hybrid teaching-learning context is opening in which learning analytics becomes relevant as teaching support to adapt instruction to the different learning rhythms of connected learners. As well as for students to make decisions in their self-regulated learning. However, for its proper implementation at the micro, meso and macro educational levels, it is necessary to detect and fill those gaps through training to have a sufficient level of data literacy of the roles involved. However, the educational inquiry doesn’t provide any data literacy self-assessment tools. This paper aims to provide an instrument for self-assessment of data literacy at micro, meso and macro levels in the educational context. The methodology of the work has been designed considering two phases. The first is based on the development and validation of the questionnaire through a documentary methodology with a qualitative approach. The second is based on its implementation, through a descriptive methodology with a quantitative approach. Aiming to precisely determine the wording according to the population of interest, the validity of the banks of items constructed and their content, have been carried out employing the expert consultation method.
AB - In only two years, COVID-19 has forced the transformation of the educational system with emergency and radical changes concerning the digitalisation and virtualisation of classrooms. A new hybrid teaching-learning context is opening in which learning analytics becomes relevant as teaching support to adapt instruction to the different learning rhythms of connected learners. As well as for students to make decisions in their self-regulated learning. However, for its proper implementation at the micro, meso and macro educational levels, it is necessary to detect and fill those gaps through training to have a sufficient level of data literacy of the roles involved. However, the educational inquiry doesn’t provide any data literacy self-assessment tools. This paper aims to provide an instrument for self-assessment of data literacy at micro, meso and macro levels in the educational context. The methodology of the work has been designed considering two phases. The first is based on the development and validation of the questionnaire through a documentary methodology with a qualitative approach. The second is based on its implementation, through a descriptive methodology with a quantitative approach. Aiming to precisely determine the wording according to the population of interest, the validity of the banks of items constructed and their content, have been carried out employing the expert consultation method.
KW - Data literacy
KW - K-12 education
KW - Learning analytics
UR - https://www.scopus.com/pages/publications/85133239214
U2 - 10.1007/978-3-031-05657-4_16
DO - 10.1007/978-3-031-05657-4_16
M3 - Conference contribution
AN - SCOPUS:85133239214
SN - 9783031056567
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 228
EP - 237
BT - Learning and Collaboration Technologies. Designing the Learner and Teacher Experience - 9th International Conference, LCT 2022, Held as Part of the 24th HCI International Conference, HCII 2022, Proceedings
A2 - Zaphiris, Panayiotis
A2 - Ioannou, Andri
PB - Springer Science and Business Media Deutschland GmbH
T2 - 9th International Conference on Learning and Collaboration Technologies, LCT 2022 Held as Part of the 24th HCI International Conference, HCII 2022
Y2 - 26 June 2022 through 1 July 2022
ER -