Education Commons^™

Shift To Online Learning: Response Of Pakistani Visual Art Teachers During Pandemic And Post-Covid Era, Tauseef Hussain Mr, Nimra Akram Miss, Rabiya Asim Ms, Amina Sarfraz Cheema Ms, Kiran Zohra Ms

Library Philosophy and Practice (e-journal)

This study aims to investigate the response of Visual art teachers to educational lockdown and shift to online learning at art institutions. The study employed qualitative phenomenological research design to investigate visual artists i.e., painters, sculptors, textile designers, graphic designers, and performing artists who were faculty members in five leading art institutions of Lahore. Data were collected by conducting a total of 15 interviews from each mentioned discipline. These interviews were conducted preferably in their studios, at their homes, or at times online through WhatsApp video calls. The data was analyzed thematically by using NVIVO 12 software.

Findings – It …

E-Learning Course Recommender System Using Collaborative Filtering Models, Kalyan Kumar Jena, Sourav Kumar Bhoi, Tushar Kanta Malik, Kshira Sagar Sahoo, N. Z. Jhanjhi, Sajal Bhatia, Fathi Amsaad

School of Computer Science & Engineering Faculty Publications

e-Learning is a sought-after option for learners during pandemic situations. In e-Learning platforms, there are many courses available, and the user needs to select the best option for them. Thus, recommender systems play an important role to provide better automation services to users in making course choices. It makes recommendations for users in selecting the desired option based on their preferences. This system can use machine intelligence (MI)-based techniques to carry out the recommendation mechanism. Based on the preferences and history, this system is able to know what the users like most. In this work, a recommender system is proposed …