Educators around the globe are striving to promote equity in their classrooms by adopting adaptive learning systems to provide customised learning resources and tools to help the learners achieve mastery at their own pace. This personalised approach goes a long way in closing the divide between students' socioeconomic status and special needs. Over the years, the advancement in technology offers more sophisticated adaptive technologies. It aggregates data such as students' prior knowledge and academic performances to predict and better adapt the learning paths. This paper presents the evaluation of adaptive technologies for personalised learning and the vision of a Personalised Adaptive Learning and Assessment (PALAS) system for Higher Education. This vision could be an imperative piece supporting Singapore's ‘National AI Strategy’, set to focus on personalised education through adaptive learning and assessment.

With the increased demand and interest in designing technology-enhanced lessons for 21st Century learners, ways to empower and enable teacher educators to use educational technologies effectively underpinning sound instructional strategies had to be reinvented. Teacher educators may require on-demand support in order to have the necessary knowledge and skills to meet the needs of the rapidly changing learning landscape. A learning intervention or a job aid had to be developed to provide just-in-time bite-sized knowledge in time of need. This conceptual paper elaborates the design and development of a next generation electronic performance support system for teacher educators and outlines a possible approach of using a rules-based chatbot as a means of empowering teacher educators to become active designers of meaningful technology-enhanced lessons.

One year ago, the World Health Organisation (WHO) declared that COVID-19 was a pandemic. Twelve months on, we reflect on the educational change in Singapore and embrace the need to constantly re-imagine blended learning for living and learning with COVID-19. Using Dr Roger Greenaway’s four F's of active reviewing - Facts, Feelings, Findings & Future as the structure, this paper first presents the study of the transitions in blended learning of higher education pre-, during and post-pandemic lockdown. This review placed a spotlight on many gaps. Hence, this paper discusses pertinent issues following the review, particularly COVID-19 accelerated remote teaching, the ‘Blended Learning@NIE’ policy, and the policy-making process. This paper also reports the preliminary result of the policy implementation through the end-of-semester evaluation. The result is congruent with the feelings to develop digital fluency as teacher intuition for designing, developing and facilitating more meaningful blended learning experiences.