DIFFUSION-MODELS AS INPAINTING INQUIRIES FOR EXPRESSIVE-ART BASED FORMATIVE-ASSESSMENT
Ilmenau University of Technology (GERMANY)
About this paper:
Conference name: 17th annual International Conference of Education, Research and Innovation
Dates: 11-13 November, 2024
Location: Seville, Spain
Abstract:
This work-in-progress paper presents our expressive-art based Formative-Assessment (FA) practice as inquiry in intercultural settings for liberation STEM education. The settings focus on target groups of repressed adult-migrants/students, migrated to Germany, due to the enduring oppressive structures and the current wars in Ukraine and Syria. The target groups are interested in experimenting and programming Diffusion-Model (DM) inpainting algorithms to restore their damaged cultural or/and personal images due to the wars.
The paper shows how the practice is conceptualized to enable two DM prototypes:
1) A prototype for Ukrainian target group: It is conceptualized to serve a target group of Ukraine students and help them experiment DM inpainting algorithms to face and overcome the repressive barriers in Ukrainian cultural context.
2) A prototype for Syrian target group: It is conceptualized to serve a target group of Syrian students and help them experiment DM inpainting algorithms to face and overcome the repressive barriers in Syrian cultural context.
For enabling our expressive-art based FA workshops to approach the cultural aspect of repression in context of each target group, the paper shows how the workshops’ two DM prototypes are grounded based on the theoretical concepts “Generative words”, “Generative themes”, “Critical consciousness” and “Reading the world precedes reading the word” suggested by the critical educator Paul Freire [1,2,3].
The paper also shows the differences between the DM inpainting algorithms used to initialize and build the two DB prototypes and the deep-learning and machine learning algorithms used in our previous research works [4,5,6,7,8].
To test the two DM prototypes, test cases are suggested as next steps of this work-in-progress paper. Finally, for reflection and feedback exchange with the community we summarize the limits of the two DM prototypes and our next steps to improve them.
References:
[1] Frerie; Paulo, Pedogogy of Freedom; Ethics, Democracy, and Civic Courage; Rowman & Littlefield Publishers; First Paperback Printing (2001)
[2] Freire, Paulo. 1985, The Politics of Education: Culture, Power and Liberation, Copyright© 1985 by Bergin & Garvey Publishers, Inc
[3] Freire, Paulo, Pedagogy of the Oppressed. Harmondsworth: Penguin (1972).
[4] W. Mahfouz, H. -D. Wuttke and S. Werner, "Formative-Assessment Freirean-Dialogue API for Data-Analytics Trainee-Teachers,"2023 IEEE Frontiers in Education Conference (FIE), College Station, TX, USA, 2023, pp. 1-5, doi: 10.1109/FIE58773.2023.10342969.
[5] W. Mahfouz and H. -D. Wuttke, "Deep-learning API-feature Specification Tool for Formative Assessment in Workshops," 2022 IEEE Frontiers in Education Conference (FIE), Uppsala, Sweden, 2022, pp. 1-9, doi: 10.1109/FIE56618.2022.9962474.
[6] W. Mahfouz, H.D. Wuttke (2022) INTEGRATING FLOW THEORY IN FREIREAN PEDAGOGY BASED WORKSHOPS FOR FORMATIVE ASSESSMENT, ICERI2022 Proceedings, pp. 6299-6309.
[7] W. Mahfouz and H. -D. Wuttke, "Big Data Analytics APIs Architecture for Formative Assessors," 2021 IEEE Frontiers in Education Conference (FIE), Lincoln, NE, USA, 2021, pp. 1-9, doi: 10.1109/FIE49875.2021.9637431.
[8] W. Mahfouz and H. -D. Wuttke, "Automatic Classifiers for Formative Assessment," 2019 IEEE Frontiers in Education Conference (FIE), Covington, KY, USA, 2019, pp. 1-9, doi: 10.1109/FIE43999.2019.9028713. Keywords:
Formative Assessment, Liberation STEM education, Expressive Art.