We seek the following types of papers:
- Historical reflections on AIEd or EdTech research or a subarea of AIEd and EdTech research that provide concrete and evidence-based examples of how the AIEd and EdTech perspective can and should be reflected in the FATE of AI more broadly;
- Theoretical frameworks explicating (i) the nature of FATE as dimensions of relevance to AIEd or EdTech, and/or (ii) how FATE are or can be instantiated in different AIEd or EdTech contexts and applications ;
- Empirical work demonstrating how FATE is achieved in AIEd or EdTech applications;
- Methodological contributions showing how FATE considerations are taken into account during the design, implementation and deployment of AIEd or EdTech applications;
- Position papers that identify interdisciplinary research and practices of critical importance to FATE of AIEd or EdTech and that discuss how this research can or ought to be operationalised in AIEd or EdTech approaches.
The list of “types of papers” above is not intended to be exhaustive. If you have an idea for a paper that does not fall within one of the above categories, we would strongly encourage you to contact us to discuss the potential fit (email: fateofAIEd@gmail.com).
Topics of interest include but are not strictly limited to:
Bridging between AIEd / EdTech, and FATE
- Understanding the nature of FATE (fairness, accountability, transparency and ethics) within AIEd or EdTech, as distinguished from FATE in AI more broadly
- FATE of educational algorithms and modeling, including explainable systems
- AIEd / EdTech, inclusion and equity (e.g., United Nations Sustainable Development Goal 4)
- AIEd / EdTech data ethics (including privacy and data governance)
- Technical robustness and safety in AIEd / EdTech systems
- AIEd / EdTech and the law
- Existing FATE principles in the context of AIED / EdTech, and the development of new principles
The FATE of AIEd & EdTech systems in real world contexts
- Ethics and trust in AIEd / EdTech development and deployment
- Human autonomy and agency in the context of AIEd / EdTech
- Human oversight and social impact in AIEd / EdTech
- AIEd / EdTech and human diversity, including identity, socio-economic, cultural, and neuro- diversity, with considerations to different forms of potential harm (e.g., harms of allocation and representation)
- Work at the intersection of accessibility, AIEd / EdTech, and fairness
Deepening our understanding of the FATE of AIEd and EdTech
- FATE of particular pedagogical features (e.g., the use of chatbots and agents)
- FATE of learning and teaching interventions, including specific assumptions embedded in different types of AIEd / EdTech approaches
- AIEd / EdTech and the ethics of education
The FATE of research in AIED
- Ethics of AIEd and EdTech research and methods (e.g., the balance between research objectives and informed consents, such as the use of WOZ methods for ecological validity and informedness/deception of WOZ participants)