Our AI-generated HTML5 interactive methodology empower educators and HQ officers to seamlessly embed dynamic, engaging content into Student Learning Space (SLS) modules. This innovation reduces reliance on coding expertise and promotes immediate customization, significantly enhancing teaching efficiency, student engagement, and ease generating interactive formative assessments.
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(i) Define the problem/challenge the team is trying to address and provide the context of the problem/challenge; and
(ii) Describe how the team identified the problem/challenge (e.g., adopted root cause analysis, surveys, FGDs, etc.).
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Outline how the team conceived and developed the solution with clear consideration of users’ needs.
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This project addresses critical challenges in developing effective educational resources for mixed-ability classes. Existing digital interactive tools within the Student Learning Space (SLS) offer limited customization, making it difficult to address the distinct needs of Low Progress Learners (LPL) and High-Ability Learners (HAL). LPL often requires engaging, conceptually focused tools to overcome reluctance in math, while HAL needs more challenging, creative tasks to sustain their interest. Traditional physical materials and off-the-shelf digital tools fail to provide immediate, context-sensitive feedback, and engaging professional vendors for customized apps is prohibitively costly.
Our interdisciplinary team—comprising curriculum resource officers, master teachers, and technology specialists—identified these issues through comprehensive root cause analyses, surveys, focus group discussions, and classroom observations. We discovered that existing resources suffer from low reliability, limited engagement in virtual laboratories and digital manipulatives, and insufficient immediacy in feedback. Moreover, the one-size-fits-all approach does not cater to the differentiated instructional needs in a mixed form class.
To address these challenges, we leveraged generative AI technologies to create a streamlined method for developing HTML5 interactive resources. Our solution enables educators to rapidly generate and directly upload customized interactive tools—such as educational games, digital manipulatives, and virtual laboratories—into SLS. These tools come equipped with built-in scoring and formative feedback capabilities, reducing dependency on physical resources and external vendors.
Through an iterative, rapid prototyping process informed by real-time educator and student feedback, our solution has been refined to be intuitive, effective, and seamlessly integrated into SLS, ultimately enhancing teaching efficiency and student engagement across both LPL and HAL contexts. For Physics recording data example, our interactive was able to provide feedback on precision (0.000 etc) of raw data bridging a gap in current SLS FA-Math capabilities.
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