Potential Abstract:
In the realm of online education, the integration of artificial intelligence (AI) technologies presents both opportunities and challenges for educators and learners. As online platforms become increasingly prevalent, there is a growing need to understand how AI can be leveraged to enhance educational experiences while also recognizing the importance of maintaining human voices and fostering nuanced interactions. This study investigates the intersection of open science practices, AI technologies, and the diverse voices within online education settings. Through a mixed-methods approach, we examine how open science initiatives can facilitate the development and deployment of AI tools that are sensitive to the nuances of human expression and interaction in online learning environments.
Our findings reveal that while AI technologies have the potential to streamline processes and personalize learning experiences in online education, there is a danger of oversimplifying the richness of human voices and interactions. By embracing open science practices, educators and researchers can collaborate to design AI tools that not only support learning objectives but also preserve the diversity of voices and perspectives within online communities. Furthermore, our study highlights the importance of developing AI systems that are transparent, accountable, and responsive to the evolving needs of learners and educators in online settings.
Overall, this research contributes to the ongoing dialogue on the ethical and practical implications of integrating AI technologies in online education. By foregrounding the voices of diverse stakeholders and promoting open science principles, we aim to foster a more inclusive and equitable online learning environment that values nuance and complexity in educational interactions.
Potential References:
- The use of artificial intelligence (AI) in online learning and distance education processes: A systematic review of empirical studies
- An introduction to artificial intelligence and machine learning for online education
- From open access to open science—Open education in transition
- Educational data science in massive open online courses
- Artificial intelligence in education
