Cooperative Problem-Based Learning (CPBL) is a highly Student-Centred Learning (SCL) method for students to develop self-directed learning skills. Previous studies show that CPBL succeeded in instilling environ-mental awareness, deep learning in Science, Technology and Mathematics (STEM) and 21st century skills among students. In this study, digital tech-nologies were utilised to form learning communities during the planning and implementation of CPBL: Low Carbon Society program in two sec-ondary schools in the Iskandar Region in Malaysia. CPBL requires the stu-dents and the facilitators to be proactive and sensible in seeking knowledge and information needed to solve the problem. Google search engine were predominantly used by the CPBL students to search for information, while WhatsApp and Telegram were primarily used to communicate and form learning support communities during the CPBL learning process. CPBL provides early exposure for the students to use software programs in plan-ning and delivering their findings. Students’ reflective journals and obser-vation reports were collected and analysed to identify low carbon aware-ness developed through CPBL. It is found that students’ active involve-ment in understanding the issues and the external motivation and pressure given enabled them to embrace the concept and awareness. The findings of this study indicate that technology assists and provides much needed support in the learning environment to develop low carbon awareness among the students.

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Computed Tomography (CT) is the mainstay of clinical medicine for diagnosis of various diseases and ailments. In recent years, the technique has been used successfully to detect subsurface defects and to reveal internal structures of objects in industrial settings. The principle and mathematics of tomography are no more esoteric to be understood by the experts but have percolated to the image processing text books invariably at undergraduate and graduate levels. To demonstrate the basic tomographic principle and various filtering techniques in a course on Medical Image Processing and Analysis, an inexpensive infrared based setup similar to the first generation CT scanners with accompanying GUI has been conceived and developed. Preliminary experimental results on phantoms are encouraging and demonstrate the viability of the system for its intended usage.

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