Finding the Link Between Iranian EFL Teacher Motivation and Engagement via Ant Colony Optimization Algorithm and Fuzzy Decision Mode.

Teacher motivation is considred as one of the most decisive factorts infulencing teacher functioing as well as students' achievement. Many variable can develop teacher motoivation. In this study, it is presumed that teacher engagement, comprising three facets of emotional, behavioral, and cognitive influence teacher motivation.

EFL teachers' coping strategies amidst the Covid-19 virtual education and their association with work engagement and teacher apprehension.

Teaching can be considered as an extremely demanding and stressful occupation and being a language educator brings about its own distinctive challenges. In the wake of COVID-19 pandemic, teachers worldwide experienced fundamental changes in their profession and their lives as a whole. Coping with such an unprecedented situation and responses to it have created new and extra stressful factors for teachers to cope with, including the difficulties created by quick transition from direct teaching to virtual and remote teaching.

Ability of neural network cells in learning teacher motivation scale and prediction of motivation with fuzzy logic system.

We employed a new approach in the field of social sciences or psychological aspects of teaching besides using a very common software package that is Statistical Package for the Social Sciences (SPSS). Artificial intelligence (AI) is a new domain that the methods of its data analysis could provide the researchers with new insights for their research studies and more innovative ways to analyze their data or verify the data with this method. Also, a very significant element in teaching is teacher motivation that is the trigger that pushes the teachers forward, depending on some internal and external factors.