campusX

Personalised AI Tutor

Our project aims to transform student learning with a personalised AI tutor platform. This innovative tool offers 24/7, one-to-one tutoring, fostering critical thinking and tailored support for students. Instructors can use the platform to monitor student progress and intervene early in the term, ensuring no student is left behind.

Key Features:

  • Personalised Tutoring: Students receive customised guidance through an AI-driven platform, designed to adapt to individual learning needs.
  • Instructor Support: Instructors gain insights with weekly summaries of student questions, enabling proactive teaching adjustments.
  • Socratic Engagement: The platform promotes critical thinking by guiding students through course material in a Socratic manner.

In today’s diverse learning environments, this platform addresses the challenge of varying student paces and the difficulty of providing timely support, ensuring all students have the resources they need to succeed.

Contributors

Lee Ming Jun Melvin is currently a Research Senior Technologist with campusX and its Thrust 5: Advanced Learning Analytics (ALA) that is focused on providing insights for effective interventions. He is interested in applying analytics and artificial intelligence to improve teaching and learning.

Kwan Wei Lek received his PhD degree at the Department of Materials Science and Engineering from the University of California, Los Angeles. He is also the deputy director for SUTD's campusX programme. Before joining SUTD, Wei Lek was a lecturer at the Singapore Polytechnic for 7 years and an adjunct faculty at the Singapore Institute of Technology. Wei Lek is interested in improving students’ learning through design projects and hands-on approaches. His current research interests include applying artificial intelligence to improve teaching and learning.

Shubhakar Kalya is working as a Senior Lecturer in Science, Mathematics and Technology (SMT) cluster at SUTD and is involved in teaching Freshmore courses and higher term electives. He engaged in pedagogical research focusing on understanding immersive and integrative Cyber-Physical Learning Environment (CPLE). This teaching and learning CPLE approach merges remote cyber participants with in-class learners through technology-enhanced platforms such as immersive technologies, interactive digital screens, and online communication tools like Zoom or MS Teams. His work involves understanding the challenges encountered by both students and instructors in this mode of learning, as well as the influence of advanced digital screens, audio-visual systems, and software on the collaborative nature of cyber-physical classes. Additionally, ongoing research explores the potential of advanced telepresence robots to enhance the learning environment through enhanced navigation capabilities and support for virtual reality interfaces.

Ng Wei Khim is a senior lecturer in the Science, Mathematics and Technology (SMT) cluster at SUTD. He is a theoretical particle physicist. Wei Khim has a passion to observe nature and give reasons to the observations. He is also an avid natural historian.

Thia Wei Soon is a lecturer at SUTD Academy specialising in adult professional education within the Continuing Education and Training (CET) sector. He designs and delivers comprehensive data analytics and visualisation courses for the ModularMaster in Data Science programme, which equips professionals with the skills necessary to excel in today’s data-driven landscape. Wei Soon is passionate about creating an engaging and interactive learning environment aiming to help adult learners apply theoretical concepts effectively in their professional roles. He is dedicated to continuous learning and staying updated with the latest advancements in data science and artificial intelligence.
Ng Lian Wah is working as a Senior Specialist in the Office of Digital Learning at SUTD. His focus is on managing the various learning systems in SUTD. He is also a member in Thrust 5: Advanced Learning Analytics (ALA) and is interested in using learning analytics to enhance teaching and learning.