Nanyang Technological University, Singapore (NTU Singapore) and the Agency for Science, Technology, plus Research (A*STAR) are working together upon cooperative research initiatives in education that aim to transform study into future classroom teaching design and intelligent technologies. The National Institute of Education (NIE) and the School of Computer Science plus Engineering (SCSE) are leading NTU’s efforts in this collaboration.
“The cooperation between A*STAR and NTU, spearheaded by the university’s NIE and SCSE, will further strengthen and facilitate the interdisciplinary research collaboration among the partners, plus bring talented people from different disciplines and organisations together in order to solve impactful and authentic problems associated with practice in education, ” says Professor Louis Phee, NTU Vice President (Innovation & Entrepreneurship) and Dean, College of Engineering.
A Memorandum associated with Understanding (MoU) was signed with the particular aim of improving student learning and teacher effectiveness. The cooperation also brings together the academics and researchers through NTU plus A*STAR to cooperate on education analysis projects focusing on the science of studying in education, AI, machine learning, and human-artificial cognition.
To better engage students, researchers, for instance, will reimagine a classroom where human teachers and AI interact. They will also investigate how information and skills may be taught in order to students more successfully using technology.
The particular cooperation intends to develop educational techniques plus ideas with regard to tomorrow’s classrooms that can contribute to training and understanding across the person’s entire lifetime. It builds upon NIE NTU’s mission to construct and grow hubs of excellence in early childhood, pedagogy, and practice.
With its multidisciplinary research prowess inside education technology and AI, which encompasses fields like teacher-machine augmented intelligence and interactive plus personalised learning systems, NTU’s SCSE will help the particular initiative.
Additionally , the cooperation will help the streamlined submission associated with joint study grant applications and promote stronger inter-institutional relationships.
Building on NIE’s mission of Leading the Future of Education, the cooperation may advance analysis in studying science and the application of technologies such as AI in education, helping to imagine the particular classroom of the future.
The collaboration will use A*STAR’s research skills within AI, data analytics, plus the integration of social and behavioural science with technology to solve practical problems for the future associated with education.
According to A*STAR, they are looking a lot more closely at creative ways to assist college students to learn and educators to educate. By combining AI technologies along with social and behavioural sciences, they can collaboratively address issues in present teaching plus learning systems.
The agency is looking forward to a stronger collaboration with NIE and NTU, where they will be able to harness one another’s diverse strengths to develop real-world solutions that will result in much better educational outcomes for learners at all levels.
NTU and A*STAR will share data plus laboratory resources, as well as provide opportunities regarding researchers and graduate students to exchange expertise through short-term attachments inside research labs and schools. Examples of ongoing collaborations are:
AI-based performance and behavioural assessments intended for teaching plus classroom management. The project’s goal is to create a proof-of-concept training tool to get teacher development, as well as in order to investigate the particular use of audio-visual sensors combined with AI inference to discover and comprehend important classroom behaviours.
Improving student participation in virtual understanding environments is another example. With the rise associated with virtual classroom teaching, the research intends to investigate the efficacy of deploying engagement detection techniques in order to assist educators in predicting student involvement levels in virtual classes.
EVA (Education via AI) is an adaptive learning companion. This project aims to create a conversational AI engine powered by neural language production, representation learning, and dialogue modelling algorithms. This will be the virtual tutoring system that will assist students inside learning plus practising reading aloud abilities in English.
