This EASEL_ARCHIVE_README.txt file was generated on 2021-12-21 by Daniel Davison ------------------- GENERAL INFORMATION ------------------- Title of Dataset: EASEL Project Archive Author Information Principal Investigator: Vanessa Evers Associate or Co-investigator: Dennis Reidsma, Daniel Davison, Frances Wijnen, Jan van der Meij, Vicky Charisi Date of data collection (single date, range, approximate date): Data collected for the duration of the EASEL project, between 2014 - 2017 Geographic location of data collection: Enschede, The Netherlands Information about funding sources or sponsorship that supported the collection of the data: This project has received funding from the European Union Seventh Framework Programme (FP7-ICT-2013-10) under grant agreement n° 611971. -------------------------- SHARING/ACCESS INFORMATION -------------------------- Licenses/restrictions placed on the data, or limitations of reuse: Access to data is restricted. Data is only preserved for archiving and verification purposes. The decryption key is available from one of the (co)investigators mentioned above. -------------------- DATA & FILE OVERVIEW -------------------- This archive contains datasets of the various EASEL studies, including the code and scripts for analysing the data. More elaborate descriptions and codebooks are included within the archive with the respective data folders: - Contextual analysis - Verbalisation study (pilot & main study) - Mindset study (pilot & main study) -------------------------- METHODOLOGICAL INFORMATION -------------------------- The data collection and analysis methods are described in the following publications that use these datasets: - https://research.utwente.nl/en/publications/hey-robot-what-do-you-think-how-children-learn-with-a-social-robo - https://research.utwente.nl/en/publications/words-of-encouragement-how-praise-delivered-by-a-social-robot-cha-2 - https://research.utwente.nl/en/publications/working-with-a-social-robot-in-school-a-long-term-real-world-unsu - https://research.utwente.nl/en/publications/designing-a-social-robot-to-support-childrens-inquiry-learning-a- - https://research.utwente.nl/en/publications/now-were-talking-learning-by-explaining-your-reasoning-to-a-socia - https://research.utwente.nl/en/publications/measuring-childrens-perceptions-of-robots-social-competence-desig - https://research.utwente.nl/en/publications/design-challenges-for-long-term-interaction-with-a-robot-in-a-sci - https://research.utwente.nl/en/publications/physical-extracurricular-activities-in-educational-child-robot-in Methods for processing the data: Data is processed through Python and R scripts, which are contained in the archive