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The Effect of Robot Assisted Language Learning (RALL) on Iranian EFL Junior High School Students’ Vocabulary Learning and Retention
, M.Sc. Thesis Sharif University of Technology ; Alemi, Minoo (Supervisor) ; Meghdari, Ali (Co-Advisor)
Abstract
This study investigated the effect of Robot Assisted Language Learning (RALL) on the vocabulary learning and retention as well as anxiety and attitude of Iranian English as Foreign Language (EFL) junior high school students in Tehran-Iran. After taking a vocabulary pretest, 46 beginner level female students at the age of 12, studying in their first year of junior-high participated in two groups of RALL (30 students) and non-RALL (16 students) in this study. The textbook used was the English book (Prospect-1) devised by the Iranian Ministry of Education for 7th graders, and the vocabulary taught and tested (pretest and posttest) were taken from this book. Moreover, the treatment given by a...
Modeling and Dynamic Investigation of Hypothalamic–Pituitary–Adrenal (HPA) Axis in Response to Stress
, M.Sc. Thesis Sharif University of Technology ; Vafa, Ehsan (Supervisor)
Abstract
The “hypothalamus-pituitary-adrenal” axis is one of the most important axes of the human body, and cortisol is one of its key products, which plays an essential role in the immune system, stress management, and many diseases. Appropriate modeling and simulation of this axis can help us to understand how the body reacts to stress and inflammation, to examine relevant diseases, and how drugs affect the body. In this study, by combining an axial model of the hypothalamic-pituitary-adrenal axis with a model of adrenal cells, a bi-level model including several time delays has been developed that can predict the effect of stress on this axis. Some parameters of the model have been modified through...
The Efect of Stress on Brain Connectivity in Experiments Related to Different Tasks
, M.Sc. Thesis Sharif University of Technology ; Shamsollahi, Mohammad Bagher (Supervisor)
Abstract
Stress is an integral aspect of human experiences, manifesting in various situations such as tension, anxiety, and specific diseases. Researchers globally are exploring innovative approaches to control stress, aiming to quantify and detect it. The quantification of stress levels using brain signals is a prominent focus in the field of medical engineering.In most studies, the classification objective revolves around two classes (stress-relaxation) or three classes (stress levels). Typically, these studies employ databases inducing stress and recording brain signals uniformly. While various stress induction methods have been used, the resulting brain connections are less discussed.This project...