The AI is reshaping education, offering personalized support, inclusive learning possibilities, stronger teacher-pupil links and better recognition and evaluation of achievements. Although promising, responsible adoption is crucial to ensure that the potential of AI is filled and that quality education becomes accessible to all. These developments, although exciting, question traditional educational models.
AI systems are now exceeding humans in specific activities, such as improving text to animation, video synthesis to video, video subtitling and automatic translation. These technologies open ways for innovative education and an improvement in accessibility. However, deciding which tasks should be “delegated” to AI require special attention.
AI has the potential to revolutionize analysis and evaluation in education. AI assessments provide precious information, allowing teachers to identify student learning models and assess non -standard examinations. This facilitates faster feedback and promotes students’ commitment by identifying strengths and weaknesses in real time. Using AI, educators can develop tailor-made teaching strategies and improve critical thinking, creativity and problem solving skills, all essential for preparing students for the future labor.
The main emerging technologies that will have an impact on education are discussed in this subject of research, based on academic research and literature emerging from non -academic domains engaging with AI. These technologies should reshape education, with important societal implications. The discussion covers digital accessibility for disabled students, the effects of these innovations on developing countries and the way they meet with problems such as climate change, mental health and ecological balance.
Researchers in various fields are invited to contribute to articles examining digital learning innovations. This research subject focuses on personalized IA learning in higher education, exploration of technological innovations, ethical concerns and implementation challenges.
The main areas of interest include:
1. Technological innovations and educational perspectives focused
• The role of AI in improving the effectiveness of the educator
• Personalization of the study and evaluation program led by AI
• AI for digital accessibility:
• Integration of indigenous knowledge thanks to AI technologies
• AI in education for developing countries
• AI in promoting gender equality and sustainability
2. Ethical considerations and data confidentiality
• Balance personalization with data confidentiality in higher education.
• Algorithmic and equity bias of the educational tools led by AI.
• Transparency and explanability of AI decision -making in educational contexts.
• Ethical frameworks for the use of AI in higher education.
3. challenges of implementation and institutional preparation:
• Training and development of the faculty for teaching improved by AI.
• Institutional policies and governance for the adoption of AI in higher education.
• Analysis Cost-dispatches of the implementation of personalized learning systems focused on AI.
• Case studies of a successful implementation of AI in higher education institutions.
Types and fees of items
This research subject accepts the following types of articles, unless otherwise indicated in the description of the subject of research:
- In short research report
- Study, instruction and pedagogy program
- Data report
- Editorial
- General comment
- Hypothesis and theory
- Methods
- Mini
- Notice
The articles accepted for the publication by our external publishers according to a rigorous revised by peers lead to publication costs billed to authors, institutions or donors.
Keywords: Digital learning innovations, AI, innovation, educational perspectives, institutional preparation
Important note: All contributions on this research subject must be within the framework of the section and the newspaper to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide a manuscript outside Scope to a more appropriate section or newspaper at any stage of the peer exam.