Artificial Intelligence (AI) has garnered unprecedented attention, remaining a consistent topic in the public eye and news cycles. It has also quietly entered classrooms, with ‘intelligent’, ‘adaptive’, and ‘personalized’ systems increasingly being deployed in schools and universities around the world. The integration of AI technologies in educational settings has the potential to revolutionize teaching and learning methodologies. However, ensuring that these advancements are not only accessible but also equitable for all learners is imperative. This research topic seeks to unravel the intricate relationship between AI-driven digital learning innovations and the promotion of Equity, Diversity, and Inclusion (EDI) principles.
The intersection of AI and EDI within the realm of digital learning innovations presents a compelling and evolving landscape for educational research and practice. The advent of AI in education offers opportunities to personalize learning experiences, optimize educational resources, and facilitate adaptive learning pathways. Yet, questions surrounding equity arise concerning access, bias mitigation, and the ethical implications of AI algorithms. There is a growing awareness of algorithmic bias, such that algorithms and automated systems can create or exacerbate discriminatory or prejudicial outcomes. For example, machine learning algorithms primarily learn from data, and if this data contains gender stereotypes, the resulting technology perpetuates such biases. Biases in technology, predominantly designed by men, might undermine decades of progress in gender equality. There is a need to address algorithmic bias in AI and machine learning by understanding and rectifying biases embedded in language and datasets used to train these systems. “The potential of AI tools to amplify human biases, thereby perpetuating unfair systems, could arguably be more potent
than other AI technologies”. Thus ensuring that these technological advancements align with principles of equity, diversity, and inclusion is vital.
This research topic aims to investigate how AI can be leveraged to bridge educational gaps, promote inclusivity, and mitigate biases in digital learning environments. It aims to delve into the multifaceted dimensions of AI applications in education with a dedicated focus on fostering equity, embracing diversity, and promoting inclusion in digital learning environments. Understanding how AI technologies can be ethically designed and implemented to uphold EDI values in digital learning is a crucial aspect to be addressed in
this research topic. Furthermore, examining the role of AI in supporting learners with diverse needs and abilities is of significant interest. Investigating how AI-driven adaptive learning systems can accommodate different learning styles, cognitive abilities, and socioeconomic backgrounds will shed light on the potential of AI to create more inclusive learning
environments.
This research topic invites scholars, researchers, educators, and practitioners to contribute their insights, empirical studies, theoretical frameworks, and innovative practices that explore the diverse dimensions of AI & EDI in digital learning innovations. Contributions can encompass a wide array of topics, including but not limited to:
- Ethical considerations in the development and deployment of AI technologies in education;
- Strategies for leveraging AI to enhance equity, diversity, and inclusion in digital learning environments;
- Mitigation of biases and promotion of cultural responsiveness in AI-driven educational content;
- The impact of AI-driven personalized learning on diverse learners and learning outcomes;
- Innovations in AI-powered tools for supporting diverse learning needs and abilities.
In summary, this research topic aims to unravel the intricate interplay between AI advancements and the promotion of Equity, Diversity, and Inclusion, fostering a deeper
understanding of how AI can be harnessed to create more equitable and inclusive educational experiences for all learners.
Keywords:
AI Ethics, AI Bias, AI Education
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
Artificial Intelligence (AI) has garnered unprecedented attention, remaining a consistent topic in the public eye and news cycles. It has also quietly entered classrooms, with ‘intelligent’, ‘adaptive’, and ‘personalized’ systems increasingly being deployed in schools and universities around the world. The integration of AI technologies in educational settings has the potential to revolutionize teaching and learning methodologies. However, ensuring that these advancements are not only accessible but also equitable for all learners is imperative. This research topic seeks to unravel the intricate relationship between AI-driven digital learning innovations and the promotion of Equity, Diversity, and Inclusion (EDI) principles.
The intersection of AI and EDI within the realm of digital learning innovations presents a compelling and evolving landscape for educational research and practice. The advent of AI in education offers opportunities to personalize learning experiences, optimize educational resources, and facilitate adaptive learning pathways. Yet, questions surrounding equity arise concerning access, bias mitigation, and the ethical implications of AI algorithms. There is a growing awareness of algorithmic bias, such that algorithms and automated systems can create or exacerbate discriminatory or prejudicial outcomes. For example, machine learning algorithms primarily learn from data, and if this data contains gender stereotypes, the resulting technology perpetuates such biases. Biases in technology, predominantly designed by men, might undermine decades of progress in gender equality. There is a need to address algorithmic bias in AI and machine learning by understanding and rectifying biases embedded in language and datasets used to train these systems. “The potential of AI tools to amplify human biases, thereby perpetuating unfair systems, could arguably be more potent
than other AI technologies”. Thus ensuring that these technological advancements align with principles of equity, diversity, and inclusion is vital.
This research topic aims to investigate how AI can be leveraged to bridge educational gaps, promote inclusivity, and mitigate biases in digital learning environments. It aims to delve into the multifaceted dimensions of AI applications in education with a dedicated focus on fostering equity, embracing diversity, and promoting inclusion in digital learning environments. Understanding how AI technologies can be ethically designed and implemented to uphold EDI values in digital learning is a crucial aspect to be addressed in
this research topic. Furthermore, examining the role of AI in supporting learners with diverse needs and abilities is of significant interest. Investigating how AI-driven adaptive learning systems can accommodate different learning styles, cognitive abilities, and socioeconomic backgrounds will shed light on the potential of AI to create more inclusive learning
environments.
This research topic invites scholars, researchers, educators, and practitioners to contribute their insights, empirical studies, theoretical frameworks, and innovative practices that explore the diverse dimensions of AI & EDI in digital learning innovations. Contributions can encompass a wide array of topics, including but not limited to:
- Ethical considerations in the development and deployment of AI technologies in education;
- Strategies for leveraging AI to enhance equity, diversity, and inclusion in digital learning environments;
- Mitigation of biases and promotion of cultural responsiveness in AI-driven educational content;
- The impact of AI-driven personalized learning on diverse learners and learning outcomes;
- Innovations in AI-powered tools for supporting diverse learning needs and abilities.
In summary, this research topic aims to unravel the intricate interplay between AI advancements and the promotion of Equity, Diversity, and Inclusion, fostering a deeper
understanding of how AI can be harnessed to create more equitable and inclusive educational experiences for all learners.
Keywords:
AI Ethics, AI Bias, AI Education
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.