A Review of Generative Adversarial Networks (GANs) for Technology-Assisted Learning: Solving Teaching and Learning Challenges

During the COVID-19 outbreak, all the physical classes suspended, and switched to online learning. The new era of learning presented several challenges for the teachers and students. The students did not have the opportunity to participate in the classroom activities successfully as a physical class due to a lack of educational creativity, a lack of digital tools, and a dependency on the internet. Strengthening self-directed learning and improving the technical infrastructure are required, to advance innovation-centric education from "teaching" to "learning" and to develop digital literacy. By incorporating technology into classroom instruction everyone can understand the concepts and realize their right to education. The recent technological advances in deep learning are referred to as Generative Adversarial Networks (GANs). The GANs used as an Assistive Technology (AT) to generate the sequence of images of the descriptive input text. The goal of this review is the Visual Storytelling by utilizing the Text-to-Image GAN which strengthens self-directed learning through visualization and improve the critical thinking, and logical reasoning.