سعید خزایی - Assistant Professor, Department of English Language, School of Management and Medical Information Sciences, Isfahan University of Medical Sciences, Isfahan, Iran
رضا ترابی - Assistant Professor, Department of English Language, School of Management and Medical Information Sciences, Isfahan University of Medical Sciences, Isfahan, Iran
عباس سقایی - Department of Electrical Engineering, School of Engineering, University of Isfahan, Isfahan, Iran

Introduction: The aim of this study is to determine the effectiveness of cognitive therapy of poor working memory (WM) in students through self-generated augmented-reality (AR) based flipped English for Medical Purposes (EMP) reading classes on quality of students' academic and professional lives.Materials and Methods: This complementarity study was conducted using the semi-experimental method with a cross-contextual (continuous and real-workplace) assessment design along with soliciting attitudes and debriefing perception in the very initial and final phases, respectively. In the academic year ۲۰۱۸, after determining the WM capacities of ۲۱۰ students of medicine from Medical University of Isfahan, Isfahan, Iran, they were randomly divided into seven heterogeneous groups with high visual and/or high verbal WM heads to practice EMP reading comprehension in ۱۸ self-generated AR-based sessions; in each session, they were simultaneously assessed in both instructional-learning context and field.Results: Student active engagement in self-generating AR-based sessions spread the intrinsic cognitive load of EMP reading materials for students with low WM capacity, suggesting that students are inclined to active-participation courses.Conclusion: Student active participation in self-generating AR-based activities played a crucial role in cognitive therapy of students' psychological reading process and promoting EMP reading comprehension. However, the results should be viewed as suggestive.

Augmented Reality, Cognitive therapy, English for medical purposes comprehension, Performance, Working memory