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Aims: Identifying the educational contents affecting couples' communication skills can help psychologists resolve important marital problems. This study was designed to focus on the most important educational contents classified in communication skills interventions.
Information & Methods: This study reviewed the articles in the PubMed and Science Direct databases in February 2020. Articles screened in two databases were according to “titles and abstracts”, “past ten years”, “full-text”, and “open access” filters. The present study was designed based on the York Protocol. Evaluation of the information in the articles of this study was reported based on Elo S’ study. The CONSORT Checklist was used to report the clinical trials. This study was completed by incorporating 19 articles related to communication skills interventions.
Findings: The educational contents of this study were divided into two categories individual and interpersonal educational content. Also, individual and interpersonal educational content was divided into the following four categories. These four consist of rational, practical, emotional, and motivational content. The intervention was completed via six articles, and all six could be accessed virtually. The educational content, such as problem-solving, emotional skills, listening skills, behavior change, and behavioral coping skills, were the most frequent educational content in the articles of this study.
Conclusion: Problem-solving, listening skills, emotional skills, behavioral coping skills, and behavior change are the most frequent educational content in communication skills interventions.
 

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In this paper we introduced a new method for motion control in humanoid robots. The problem of movement learning specially dance and repetitive actions of human beings to humanoid robots is a major challenge in the field of robotics. Imitation learning, which is a subset of supervised learning, is a main form to teach complex tasks to the humanoid robot, and the accordingly is based on that an artificial system can imitate a lot of information through learning from human trainer. The main technique is using Central Pattern Generators structures which is able to produce required motion trajectories based on imitation learning. Systematic design of this these neural networks is main problem which is solved in this paper. The proposed model is a basic paradigm for imitation learning in the humanoid robots which do not required direct design of controller and programming. The proposed model has many benefits including smooth walking patterns and modulation during imitation. Simulation results of this learning system in the robot simulator (WEBOTS) that has been linked with MATLAB software and its implementation on a NAO robot demonstrate that the robot has learned desired motion with high accuracy. This model can be extended and used in the Nao soccer player both for the standard platform and the 3D soccer simulation leagues of Robocup SPL competitions to train different types of motions.