Overview

This research cluster explores the transformative impact of artificial intelligence and digital tools on education, translation, and broader societal frameworks. To enhance accessibility and augment cognitive tasks, projects within this cluster encompass speech-to-speech technology, AI-based translation evaluation, and sophisticated text analytics. By studying human-computer interaction—from eye-tracking applications in translation and interpreting to stylometry and usability—researchers assess how emerging technologies reshape our cognitive processes and communication practices.

A key priority is leveraging AI to advance inclusive higher education by promoting accessibility for diverse learners. Overall, this cluster seeks to harness the power of AI and digital innovation to create solutions that benefit individuals, communities, and society.

Research Themes

Focus

AI Social Progress Progressive Education

Objective

Develop and evaluate speech-to-speech translation systems, AI-driven text analytics, and automated translation assessments to support language learning and intercultural exchange.

Outcomes

  • Cutting-edge translation tools and open-source linguistic resources.
  • Pilot projects integrating AI into language classrooms.
  • Peer-reviewed articles on effective AI-led pedagogical strategies.

Focus

AI Accessibility User-Centered Design

Objective

Investigate how digital interfaces (including eye-tracking and real-time feedback) can optimize cognitive tasks, user experience, and learning outcomes in education and beyond.

Outcomes

  • Innovative software prototypes that improve user engagement and retention.
  • Evidence-based guidelines for inclusive interface design.
  • Workshops on integrating HCI research into educational technologies.

Focus

AI Social Progress Inclusive Education

Objective

Utilize AI-powered tools, such as speech recognition, assistive translation, and adaptive learning platforms, to expand accessibility for diverse learners, including those with special needs.

Outcomes

  • Assistive technologies tailored for higher education environments.
  • Best-practice frameworks for implementing inclusive AI solutions.
  • Collaboration with stakeholders to scale up accessibility initiatives across institutions.

Focus

AI Governance Social Progress

Objective

Examine the broader societal impact of AI systems, such as data privacy, policy, and ethics, ensuring that digital transformations align with community values and equitable progress.

Outcomes

  • White papers and policy briefs on ethical AI governance.
  • Interdisciplinary collaborations shaping responsible AI standards.
  • Public engagement campaigns that raise awareness of digital rights and responsibilities.