Nanyang Technological University, Singapore

Educators should not be competing with chatbots and large language models. Instead, a continuum can help them guide students from passive learning from AI to synthesising information alongside it

Even in teaching materials and trusted sources, images are not neutral. Here, Alexius Chia explains how to guide learners from superficial impressions to being able to critique perspective, power and intent

The science of adult learning provides a road map for strengths-based, age-inclusive programme design and helps turn classrooms into vibrant hubs of intergenerational learning

By shifting focus from analysis to design, educators not only better align electronics engineering education with industry needs but also ignite students’ creativity and problem-solving capabilities, writes Ji-Jon Sit

Human-centred abilities such as curiosity, adaptability and self-reflection are rising in importance as AI threatens to automate routine tasks. Here are ways educators can prepare students for the workforce of the future

Hear experts discuss how they engage students in climate-conscious learning, build sustainability into course design and connect it to employability and wider social responsibility

A ‘triple helix’ teaching approach shows how engineering educators can combine theoretical rigour with practical problem-solving to prepare students to innovate in the real world. Here, Chen Xiaodong explains how it evolved

A data visualisation task can support students’ problem-solving and critical thinking skills as well as give context to themes around sustainability. Here’s how to put it into practice

Technology and peer learning can be used to optimise classroom time and enhance problem-solving skills. Here, Teck Seng Koh uses a sample lesson to illustrate how to develop students’ analysis capacity

As AI literacy becomes an essential work skill, universities need to move beyond developing these competencies at ‘primary school’ level in their students. Here, Fun Siong Lim reflects on frameworks to support higher-order AI literacies

User needs, smart prompts and functionality were central to creating an AI tool that supports student writing and thinking. Here, Joanne Chia and Angela Frattarola share the pedagogical and technical considerations involved in the process

Selective embrace of artificial intelligence is key to its success in supporting student learning. Here, Leonard Ng Wei Tat shares lessons from building an effective AI teaching assistant

How much tech is helpful in the classroom? Highlighting both benefits and drawbacks, John Komar explains how computer vision and AI can reinforce personal connections and interactions between teacher and students