Book Chapters

Powerful geography has established a renewed purpose in geography education, providing a broader and normative framework for school geography. This chapter extends the theoretical underpinnings of powerful geography beyond the geography discipline by applying its lens to examine a data science curriculum as enacted in a general elective hosted at an institute of higher learning (IHL) in Singapore. Students of the IHL module were interviewed about the efficacy of their learning after taking the module. The data analysis thoroughly reflects that powerful geography and knowledge are strong positive forces for student learning. The chapter concludes by making the case for powerful geography to be given more weight in curriculum design in disciplinary domains beyond geography, as understandings of the learning sciences continue to evolve.

Keperihatinan Dr Haji Abbas Mohd Shariff terhadap aspek pendidikan ‘nilai’ dan kaitannya dengan tradisi pendidikan Islam menjadi teras perbincangan kertas ini. Dengan mengemukakan pandangan para sarjana Islam awal, kertas ini mengaitkan konsep ‘nilai’ pegangan Dr Abbas yang terbukti sehaluan dengan beberapa teori pendidikan Islam.

By using educational inquiry and multiple intelligences perspectives, this paper argues that the importance of compassion in the teaching of National Education cannot be underestimated. Various techniques to infuse compassion in Malay language lessons are incorporated for readers’ consideration.

This chapter introduces evolutionary algorithm-based (EA-based) symbolic regression, which is an optimization model inspired by nature. EA-based symbolic regression is used to predict reading comprehension proficiency by using English learners' vocabulary and grammatical knowledge. EA-based symbolic regression draws on the fundamental concepts of Darwinian evolution, such as breeding and variety, and applies modeling to assess the accuracy and relevance of the prediction models. In this technique, multiple models are generated among which the one with the optimal fit is chosen as the “parent” and the basis for “breeding” further models, called offspring, for the following generations. The present study finds a significant nonlinear relationship between lexicogrammatical knowledge and reading comprehension proficiency (R2 = .520). Details and computational requirements are discussed and implications for language assessment are explored.