"Better than my professor?" How to develop artificial intelligence tools for higher education.

Area of Science:

• Educational Technology
• Artificial Intelligence in Education

Background:

• AI tools are increasingly developed to aid human decision-making across various fields.
• In higher education, AI-powered chatbots offer timely feedback and personalized learning experiences.
• Current AI tools often automate tasks previously done by human educators, but faster.

Purpose of the Study:

• To review the literature on AI capabilities for improving higher education processes.
• To identify potential AI applications focused on distance higher education.
• To explore how AI can enhance student learning methodologies, engagement, and communication.

Main Methods:

• Literature review of existing AI tools and their applications in education.
• Analysis of AI capabilities relevant to higher education processes.
• Identification of future opportunities for AI in higher education.

Main Results:

• AI can influence student learning approaches and facilitate access to information beyond course materials.
• AI tools can support enhanced communication between students and professors.
• AI can leverage motivation theories for personalized learning engagement.

Conclusions:

• Future AI solutions hold significant potential to transform higher education, particularly distance learning.
• AI can personalize learning, foster engagement, and improve the overall educational experience.
• Further research is needed to explore AI's impact on learning outcomes and educational quality.