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Learning Through New Media (ALP)


Learning through New Media at Wellington

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The original intent of the school’s ALP as stated in the 2014 report was to better prepare our students for the future. New media was introduced to all students (P1 to P6) through an 8-hours ALP training conducted throughout the year.  P1 to P3 students learn various new media tools and applications.  P4 students are introduced to basic coding while upper primary students learn more advanced coding using applications such as Artec and Minecraft.   

The aims of the ALP LNM are to:
1. enable students to understand fundamental theories and concepts of new media through application and practice.
2. provide students with opportunities to create their own learning and to showcase them.

Beyond learning to use applications, our school has embarked on computational thinking (CT) which aim for students to learn to see patterns and understand logical flow as part of their cognitive development to prepare them to be adaptable in a fast-changing landscape of the 21st century.  

With LNM, students are observed to be more motivated in learning and are more participative in class. To bring together a community of coders from amongst Singapore schools, the school initiated and continues to organise the annual National Primary Games Creation and Coding Competition (NPGC3). This competition is organised with industry partners (such as Microsoft and IMDA) and provides primary school students a platform to showcase their problem-solving skills and talent through game creation and coding. Students from the ALP programme who show a keen interest and aptitude in coding and programming compete in the NPGC3.

Innovations that emerged from LNM were the introduction of flipped classroom, mobile learning and digital formative assessment. These three initiatives were introduced to all teachers to maximise students’ learning through leveraging on technology e.g. improve assessment literacy practices.

The school has partnered with multiple organizations and stakeholders such as IMDA, Science Centre, People’s Association, Microsoft, Hewlett Packard, AI Singapore (AISG) and Facebook among others to offer funding and training and also to provide expert advice and guidance for future planning so that the ALP can continue to evolve and scale up.

In 2018, the school further improved the ALP LNM and introduced CT. The CT approach introduced students to an approach to problem solving using the PRADA approach or Pattern Recognition, Algorithm, Decomposition and Abstraction. CT is essential to the development of computer applications, but it can also be used to support problem solving across all disciplines, including the humanities, math, and science. Students who learn CT across the curriculum can begin to see a relationship between academic subjects, as well as between life inside and outside of the classroom. CT was first introduced to the InfoComm Club last year and now has been piloted formally in selected subject classes led by teachers that had formed an interest group on this. School will continue to improve our ALP curriculum to develop CT dispositions, knowledge and skills in our students.

As AI gains popularity, the school is working with AI Singapore (AISG) on its AI for Kids (AI4K) Programme to study the possibility of introducing Artificial Intelligence (AI) as a natural ALP progression. Coding is basic knowledge for those keen to learn AI. AI4K by AISG aims to develop local AI talent and is targeted at school children aged 10 to 12 years old. AISG, works with the school, to train teachers and ICT trainers to serve as facilitators to run the AI4K programme, under the guidance of a lead trainer. To date, AISG has trained 5 WTP teachers to be facilitators of the AI4K programme. The curriculum has been designed in partnership with NUS High School of Math and Science and helps children understand machine learning concepts as well as guide them in developing solutions via Scratch and popular machine learning tools for a relatable problem they face in their daily lives. The school aims to pilot AI4K on a small scale in 2019, involving a small group of interested students, before eventually considering rolling this out to the rest of the school.