Digital Learning – Education of the future

Nomair Shahzad


Supervised by Natasha Edwards; Moderated by Charith Perera

The COVID-19 pandemic resulted in world-wide disruption to life. Whilst all industries have been negatively affected by the pandemic, some have been hit harder than most. Arguably the most important area affected by the pandemic is the education sector. A joint report published by UNESCO, UNICEF and the World Bank states that COVID-19 pandemic-related school closures affected more than 1.6 billion learners and the current generation of students now risk losing $17 trillion in lifetime earnings (in present value), approximately 14% of today’s global GDP, as a result of these closures. My proposed solution to this problem is to create a multi-purpose online learning environment, to be used by both teachers and students in educational institutions. Under normal circumstances, the proposed web-application would be used as an assistant tool for teachers, allowing them to create and assign assessments to students whilst being able to track key metrics such as grades, engagement, skills strengths, and weaknesses. Students will be able to collaborate on assignments (if allowed), peer-assess work, track their own academic progress and share results/feedback with their peers. In the event of an emergency situation, the tool would act as an equal substitution for face-to-face learning, allowing teachers to utilise a wider range of features. These can include time-tabling lessons, uploading learning material, assignment of exam-board approved online assessments etc. The project can be divided into two elements, researching into the problem and creating a solution. As such, my project has two core aims: •Discover & Document the challenges teachers and students are facing with remote learning. •Produce a solution to the challenges users are facing in the form of a Web Application. The design concept will be heavily research influenced, through the use of primary user research (Quantitative & Qualitative data) and relevant studies, The data acquired from all research will be used to derive functional an non-functional requirements and influence the design of the tool.

Initial Plan (07/02/2022) [Zip Archive]

Final Report (27/05/2022) [Zip Archive]

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