Literacy Acceleration Strategy Through AI-Assisted Programming: Adaptive Implementation for Islamic Economics Students During Disaster

Basrul Abdul Majid; Yoesrizal M. Yoesoef

doi:10.52490/malikal-shalih.v5i1.7506

Authors

Basrul Abdul Majid Universitas Islam Negeri Sultanah Nahrasiyah Lhokseumawe
Yoesrizal M. Yoesoef Universitas Islam Negeri Sultanah Nahrasiyah Lhokseumawe

DOI:

https://doi.org/10.52490/malikal-shalih.v5i1.7506

Keywords:

AI-Assisted Programming, Generative AI, Digital Literacy, Educational Resilience, Islamic Economics.

Abstract

Inequality of technical ability and anxiety about technology are often barriers for Islamic economics students to master digital technology. Conventional programming learning methods that require syntax memorization are considered too burdensome for non-technical students, especially when physical learning facilities cannot be accessed due to disasters. This activity is here to simplify the coding learning process by utilizing artificial intelligence (AI-Assisted Programming) and applying a training model that can still run in the midst of an emergency situation. Responding to flood conditions in Aceh, the activity using the Asset-Based Community Development (ABCD) approach was completely switched to online. A total of 22 FEBI UIN Sultanah Nahrasiyah students were trained to use Cloud IDE and Generative AI through four stages: changing mindsets, prompting techniques, business logic, and case study practices. The results showed that there was an increase in participants' confidence in using technology. Generative AI help allows students to get through the difficulties of writing complex code, so they can immediately focus on solving economic problems. Participants can design simple applications such as Zakat Calculator and Data Visualization, despite learning within the limitations of infrastructure.

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