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TIDE participation in ISLS 2022 and ICALT 2022

TIDE participation in ISLS 2022 and ICALT 2022

29.04.2022

 

TIDE has two new publications, a full paper accepted to be presented at the ISLS Annual Meeting 2022 (CSCL) and a full paper accepted to be presented at the ICALT 2022 Conference (The 22nd International Conference on Advanced Learning Technologies).

CSCL 2022

Title: Teacher-Led Debriefing in Computer-Supported Collaborative Learning Pyramid Scripts  (Full paper accepted to be presented at the ISLS Annual Meeting 2022 (CSCL)): 

Amarasinghe, I., Hernández-Leo, D., Manathunga, K., Chacón Pérez, J., & Dimitriadis, Y. (2022). Teacher-Led Debriefing in Computer-Supported Collaborative Learning Pyramid Scripts (in press)

Abstract: Debriefing is an integral part of orchestration and provides a space for teachers to review the learning experience. Although this concept is not new, little is known about how debriefing is conducted in scripted computer-supported collaborative learning situations, and its effects on students’ learning gains. Moreover, there is a lack of studies providing evidence of how learning analytics can be effectively utilised to support teacher-led debriefing. The objective of this study is twofold: Firstly, it studies how debriefing impacts students’ learning gains in Pyramid pattern-based learning situations. Secondly, it explores the types of learning analytics indicators that can support debriefing. Results indicated that debriefing can contribute to improve students’ learning gains, however, it does not always lead to the optimal outcomes and the type of task can have a major influence. Mechanisms such as semantic similarity score, knowledge graph visualisations and flag features are scrutinized as options to support debriefing.

Keywords: CSCL scripts, Orchestration, Debriefing, Learning analytics.

ISLS 2022

Title: Estimating Orchestration Load in CSCL Situations Using EDA ( Full paper accepted to be presented at the ICALT 2022 Conference (The 22nd International Conference on Advanced Learning Technologies)):

Crespi, F., Amarasinghe, I., Vujovic, M., & Hernandez-Leo, D., (2022). Estimating Orchestration Load in CSCL Situations Using EDA (in press)

Abstract: This study investigates to what extent Electroder- mal Activity (EDA) sensor data can be triangulated with self-perception measures to estimate facets of teachers’ orchestration load in the context of Computer-Supported Collaborative Learning (CSCL). It was expected to observe variances in the EDA signal as a result of stressful moments and incidents related to orchestration. Study findings indicated that EDA variations concurred with situations in which the teacher reported feeling stressed when orchestrating CSCL Pyramid scripts. 

Index Terms: Orchestration Load, Electrodermal Activity (EDA), Computer-Supported Collaborative Learning (CSCL), Teacher-Facing Dashboards

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