+ 1. Description +
+This repository contains tools to automatically analyse how + participants align their use of task-specific referents in their + dialogue and actions for a collaborative learning activity, and how + it relates to the task success (i.e. their learning + outcomes and task performance).
+As a use case, it processes data from a collaborative problem solving + activity named JUSThink [1, 2], i.e. + JUSThink Dialogue and Actions Corpus data set that is available from the + Zenodo Repository, DOI: 10.5281/zenodo.4627104, and reproduces the results and figures + in [3].
+In brief:
++ 2. Publications +
+If you use this work in an academic context, please cite the following + publications:
+Norman*, U., Dinkar*, T., Bruno, B., & Clavel, C. (2022). + Studying Alignment in a Collaborative Learning Activity via + Automatic Methods: The Link Between What We Say and Do. Dialogue + & Discourse, 13(2), 1 - ;48. *Contributed equally to this + work. https://doi.org/10.5210/dad.2022.201
+Norman, U., Dinkar, T., Bruno, B., & Clavel, C. (2021). + JUSThink Alignment Analysis. In Dialogue & Discourse + (v1.0.0, Vol. 13, Number 2, pp. 1 - ;48). Zenodo. https://doi.org/10.5281/zenodo.4675070
++ 3. Content +
+The tools provided in this repository consists of 7 Jupyter Notebooks + written in Python 3, and two additional external tools utilised by the + notebooks.
++ 3.1. Jupyter Notebooks +
+We highlight that the notebooks up until the last (i.e. to test the + hypotheses (tools/7_test_the_hypotheses.ipynb)) present a general + pipeline to process event logs, test responses and transcripts to + extract measures of task performance, learning outcomes, and measures of + alignment.
++ 3.2. External Tools +
++ 4. Research Questions and Hypotheses in [3] +
+The RQs and Hs are addressed in the notebook for testing the hypotheses + (i.e. tools/7_test_the_hypotheses.ipynb).
++ Acknowledgements +
+This project has received funding from the European Union's Horizon + 2020 research and innovation programme under grant agreement No 765955. + Namely, the ANIMATAS Project.
++ License +
+The whole package is under MIT License, see the LICENSE + file.
+Classes under the tools/effsize package were taken from + project DABEST, Copyright 2016-2020 Joses W. Ho. + These classes are licensed under the BSD 3-Clause Clear License. See + tools/effsize/LICENSE file for additional + details.
+Classes under the tools/dialign-1.0 package were taken + from project dialign. These classes are licensed under the + CeCILL-B License. This package is used as an "external + module", see tools/dialign-1.0/LICENSE.txt for + additional details.
+765955
+ ANIMATAS
+ 765955
+ A Knowledge graph representation of compounds and associated biological entities in the BY-COVID and EOSC Future project.
Current status
Please check the BY_COVID_update_August.ipynb for understanding step wise process of KG generation and KG statistics. The KG has been exported to formats such as graphml, sif and so on for visualizations in other platforms. For example, the graphml file can be imported to Cytoscape directly. These files are located in 'data\export' folder.
101017536
+ EOSC Future
+ 101046203
+ BY-COVID
+ The Monkeypox KG is built using viral and human proteins reported in different resources. Additionally, the KG represents chemicals tested against Monkeypox and their targets, associated biological processes, molecular functions, diseases and side effects.
KG status
Version 1 stats:
Version 2 stats (2nd September) :
Please check the graph.ipynb for understanding step wise process of KG generation and KG statistics. The KG has been exported to formats such as graphml, sif and so on for visualizations in other platforms. For example, the graphml file can be imported to Cytoscape directly. These files are located in 'data\export' folder.
101017536
+ EOSC Future
+ 101046203
+ BY-COVID
+ The attached .yaml file is used as input to the Dashboard State of the Environment, which is a science project of the ENVRI-FAIR science cluster within EOSC-FUTURE. The contents of the file enable the visualization of Ocean indicators on the dashboard. It is possible to download the attached file and change the contents to include indicators from different domains such as atmosphere or biodiversity.
101017536
+ EOSC Future
+