Implementation of FCM Approach: Challenges Before Teachers and Identification of Gaps

Abstract

FCM is a new approach to lesson delivery in most of the developing world, and neither the (higher education) system, nor the teachers and learners are prepared and well-equipped to handle the demands of the approach. The present study was conducted to document the challenges before teachers implementing FCM in EFL/ESL classrooms. The study was conducted as an end-of-term survey using questionnaires and interview techniques for data collection. The questionnaire was comprised of statements on methods, materials, mode of delivery, and feedback to learners, while the semi-unstructured interviews were meant to gather a narrative account of teachers’ experiences in implementing FCM approach to language teaching. 50 university teachers from Saudi Arabia were surveyed for the study. The obtained results present a picture of difficulties before ESL teachers in implementing FCM. The majority of the participants (mean=49.8) opine that they face one or the other challenge when they use FCM approach in ESL classrooms. Roughly one third (mean=31.6) of the participants expressed that they do not face any challenges in implementing FCM. In the semi-structured interview sessions, the teachers expressed their dissatisfaction with the approach, and said they are generally ill-equipped to deliver lessons and address feedback issues effectively.

Humanizing AI in medical training: ethical framework for responsible design

“…Thanks to machine learning and deep learning algorithms, medical training can be fully personalized and tailored to the trainee. Whether we take reading medical graphs like electrocardiograms (ECGs) (Tahri Sqalli et al, 2021a ), or medical images like magnetic resonance images (MRIs) (Tahri Sqalli and Al-Thani, 2020 ), or even simulations like robotic surgery simulations (Poon et al, 2005 ; Tahri Sqalli et al, 2016 ; Yamashita et al, 2016 ), their repetitive aspect through human interpretation is a suitable process to generate patterns that can be processed by ML algorithms (Alahmadi and Saleem, 2022 ). However, incorporating AI into medical training raises important ethical considerations, including the need to ensure that AI systems align with human values and priorities (Bennett and Rosner, 2019 ).…”

“…suitable process to generate patterns that can be processed by ML algorithms (Alahmadi and Saleem, 2022). However, incorporating AI into medical training raises important ethical considerations, including the need to ensure that AI systems align with human values and priorities (Bennett and Rosner, 2019).…”