TY - JOUR
T1 - Ada for ibl
T2 - Lessons learned in aligning learning design and analytics for inquiry-based learning orchestration
AU - Rodríguez-Triana, María Jesús
AU - Prieto, Luis P.
AU - Dimitriadis, Yannis
AU - de Jong, Ton
AU - Gillet, Denis
N1 - Funding Information:
The publication of this article received financial support from the European Union in the context of Go-Lab, Next-Lab, GO-GA, and CEITER (FP7 grant agreement no. 317601, and Horizon 2020 Research and Innovation Programme, grant agreement nos. 731685, 781012, and 669074); the European Regional Development Fund and the National Research Agency of the Spanish Ministry of Science, Innovation and Universities (grant agreement no. TIN2017-85179-C3-2-R); the European Regional Development Fund and the National Research Agency of the Spanish Ministry of Science, Innovation and Universities (grant agreement no. PID2020-112584RB-C32); and the European Regional Development Fund and the Regional Government of Castile and Leon (grant agreement no. VA257P18).
Publisher Copyright:
© 2021, UTS ePRESS. All rights reserved.
PY - 2021
Y1 - 2021
N2 - Orchestrating technology-enhanced learning is a difficult task, especially in demanding pedagogical approaches like inquiry-based learning (IBL). To foster effective teacher adoption, both the complexity of designing IBL activities and the uncertainty about the student learning path during enactment need to be addressed. Previous research suggests that aligning learning design and learning analytics can be an effective way to provide such orchestration support. This paper reports on a design-based research (DBR) project to explore teachers’ orchestration needs in Go-Lab (a technological ecosystem for IBL used by thousands of primary and secondary school teachers around the world), and on how solutions that align learning design and analytics can fulfill such needs. The analysis of data from multiple events (including surveys, case studies, workshops with teachers, and platform usage analyses) led to a catalogue of IBL orchestration needs that can be tackled by aligning learning design and analytics, as well as a list of guidelines for technology development aiming to support IBL orchestration. These two contributions can support the creation of future learning analytics–enhanced IBL environments that are both pedagogically grounded and usable by teachers in authentic settings.
AB - Orchestrating technology-enhanced learning is a difficult task, especially in demanding pedagogical approaches like inquiry-based learning (IBL). To foster effective teacher adoption, both the complexity of designing IBL activities and the uncertainty about the student learning path during enactment need to be addressed. Previous research suggests that aligning learning design and learning analytics can be an effective way to provide such orchestration support. This paper reports on a design-based research (DBR) project to explore teachers’ orchestration needs in Go-Lab (a technological ecosystem for IBL used by thousands of primary and secondary school teachers around the world), and on how solutions that align learning design and analytics can fulfill such needs. The analysis of data from multiple events (including surveys, case studies, workshops with teachers, and platform usage analyses) led to a catalogue of IBL orchestration needs that can be tackled by aligning learning design and analytics, as well as a list of guidelines for technology development aiming to support IBL orchestration. These two contributions can support the creation of future learning analytics–enhanced IBL environments that are both pedagogically grounded and usable by teachers in authentic settings.
KW - Inquiry-based learning
KW - Learning analytics
KW - Learning design
KW - Orchestration
KW - Technology-enhanced learning
UR - https://www.scopus.com/pages/publications/85116028373
U2 - 10.18608/JLA.2021.7357
DO - 10.18608/JLA.2021.7357
M3 - Article
AN - SCOPUS:85116028373
SN - 1929-7750
VL - 8
SP - 22
EP - 50
JO - Journal of Learning Analytics
JF - Journal of Learning Analytics
IS - 2
ER -