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This research clarifies the birth and evolution of “Social Study” in Myanmar through analyzing the differences of contents and approaches between “Social Studies” under the military administration and that under the recent democratic administration.

The author obtained “Social Studies” textbooks that were used both in the past as well as in present day and translated them into English. The textbooks’ contents were analyzed in detail while referring Japanese and American “Social Studies” textbooks. Specifically, the author focused on the content structure of the textbooks and the learning objectives and approaches used. Each textbook was analyzed in accordance with the era in which they were used considering the social and political conditions at those times. In addition, the author clarified the necessary competencies for the people of Myanmar during the new era through discussions with many Myanmar educators. Based on this research, the author advised the Ministry of Education on the content of new “Social Studies” textbooks and supported their development.

The idea of child-centered education introduced under the military administration was further strengthened in the recent new “Social Studies” textbooks allowing students to learn by tapping into their interests and also encouraging deep thinking and creativity. This approach changed their learning from memorization without deep thinking in the past to contemplating things and creating new ideas.

The findings can provide curriculum developers and educators in other countries with a broad direction on how to reform “Social Studies” and related subjects curricula and textbooks in their own countries in the future.

The purpose of this paper is to describe the mental health issues among teachers globally and to investigate the significant factors that specifically impact the mental health of school teachers in Okinawa, Japan.

This cross-sectional study examined depression, anxiety, stress, self-esteem and resiliency among 174 teachers from seven schools in Okinawa, Japan. The study questionnaire consisted of four parts, including demographic data, Depression, Anxiety, and Stress scale (DASS-42), Rosenberg Self-Esteem Scale (RSE), and Connor-Davidson Resiliency Scale (CD-RISC). Multiple regression analyses were performed to identify predictors of mental health variables.

Of the 174 teachers, 111 were females (64%) and 60 were males (35%). Average age of participants was 41.65 (SD = 10.07). Average number of years being a teacher was 15.50 (SD = 9.88). There was a significant gender difference in the level of self-esteem. Significant differences in anxiety were found among varying grade levels taught. Regression analyses indicated that resiliency and self-esteem significantly predicted depression, anxiety and stress among school teachers in Okinawa.

This is the first study among school teachers in Okinawa that examined the impact of resiliency and self-esteem on their mental health. To reduce psychological distress common within the teaching profession, social and environmental support should be provided within the school to better foster the successful promotion of teacher resiliency and self-esteem.

Since many global path planning algorithms cannot achieve the planned path with both safety and economy, this study aims to propose a path planning method for unmanned vehicles with a controllable distance from obstacles.

First, combining satellite image and the Voronoi field algorithm (VFA) generates rasterized environmental information and establishes navigation area boundary. Second, establishing a hazard function associated with navigation area boundary improves the evaluation function of the A^* algorithm and uses the improved A^* algorithm for global path planning. Finally, to reduce the number of redundant nodes in the planned path and smooth the path, node optimization and gradient descent method (GDM) are used. Then, a continuous smooth path that meets the actual navigation requirements of unmanned vehicle is obtained.

The simulation experiment proved that the proposed global path planning method can realize the control of the distance between the planned path and the obstacle by setting different navigation area boundaries. The node reduction rate is between 33.52% and 73.15%, and the smoothness meets the navigation requirements. This method is reasonable and effective in the global path planning process of unmanned vehicle and can provide reference to unmanned vehicles’ autonomous obstacle avoidance decision-making.

This study establishes navigation area boundary for the environment based on the VFA and uses the improved A* algorithm to generate a navigation path that takes into account both safety and economy. This study also proposes a method to solve the redundancy of grid environment path nodes and large-angle steering and to smooth the path to improve the applicability of the proposed global path planning method. The proposed global path planning method solves the requirements of path safety and smoothness.

The undergraduate research experience program is a funding program offered by the Qatar National Research Fund. The purpose of the program is to provide hands-on research experience for undergraduate students in order to increase their capacity for future research activities. However, leading a team of unexperienced researchers can be challenging. Minimal literature exists of how to overcome these challenges and provide a positive learning experience for novice researchers. The purpose of this paper is to: 1) describe a ‘situated learning’ framework, and teaching methods and approaches that may be helpful for future researchers to actively engage students in the research learning process; 2) describe our own experiences with creating a professional community of research using a team approach; and, 3) offer some practical strategies for scaffolding students to gain research skills through working in close proximity to more experienced colleagues. Helpful situated learning strategies included active engagement of students throughout the project, setting meaningful activities, meeting regularly as a team, scaffolding student learning, setting both individual and group work, assigning specific roles, engaging students in dissemination activities, sharing responsibility, and fading control of project activities to the students as their competency increased. Using a structured mentoring strategy resulted in students being actively engaged in all stages of the project. This approach helped to overcome many challenges of working with novice researchers. It was also rewarding to observe the growth of young researchers through the experiences that they gained in working as members of a research community of practice.

This paper aims to conceptualize impacts of higher education institutions (HEIs) on sustainable development (SD), complementing previous literature reviews by broadening the perspective from what HEIs do in pursuit of SD to how these activities impact society, the environment and the economy.

The paper provides a systematic literature review of peer-reviewed journal articles published between 2005 and 2017. Inductive content analysis was applied to identify major themes and impact areas addressed in the literature to develop a conceptual framework detailing the relationship between HEIs’ activities and their impacts on SD.

The paper identifies six impact areas where direct and indirect impacts of HEIs on SD may occur. The findings indicate a strong focus on case studies dealing with specific projects and a lack of studies analyzing impacts from a more holistic perspective.

This systematic literature review enables decision-makers in HEIs, researchers and educators to better understand how their activities may affect society, the environment and the economy, and it provides a solid foundation to tackle these impacts.

The review highlights that HEIs have an inherent responsibility to make societies more sustainable. HEIs must embed SD into their systems while considering their impacts on society.

This paper provides a holistic conceptualization of HEIs’ impacts on SD. The conceptual framework can be useful for future research that attempts to analyze HEIs’ impacts on SD from a holistic perspective.

This paper presents a survey of research into interactive robotic systems for the purpose of identifying the state of the art capabilities as well as the extant gaps in this emerging field. Communication is multimodal. Multimodality is a representation of many modes chosen from rhetorical aspects for its communication potentials. The author seeks to define the available automation capabilities in communication using multimodalities that will support a proposed Interactive Robot System (IRS) as an AI mounted robotic platform to advance the speed and quality of military operational and tactical decision making.

This review will begin by presenting key developments in the robotic interaction field with the objective of identifying essential technological developments that set conditions for robotic platforms to function autonomously. After surveying the key aspects in Human Robot Interaction (HRI), Unmanned Autonomous System (UAS), visualization, Virtual Environment (VE) and prediction, the paper then proceeds to describe the gaps in the application areas that will require extension and integration to enable the prototyping of the IRS. A brief examination of other work in HRI-related fields concludes with a recapitulation of the IRS challenge that will set conditions for future success.

Using insights from a balanced cross section of sources from the government, academic, and commercial entities that contribute to HRI a multimodal IRS in military communication is introduced. Multimodal IRS (MIRS) in military communication has yet to be deployed.

Multimodal robotic interface for the MIRS is an interdisciplinary endeavour. This is not realistic that one can comprehend all expert and related knowledge and skills to design and develop such multimodal interactive robotic interface. In this brief preliminary survey, the author has discussed extant AI, robotics, NLP, CV, VDM, and VE applications that is directly related to multimodal interaction. Each mode of this multimodal communication is an active research area. Multimodal human/military robot communication is the ultimate goal of this research.

A multimodal autonomous robot in military communication using speech, images, gestures, VST and VE has yet to be deployed. Autonomous multimodal communication is expected to open wider possibilities for all armed forces. Given the density of the land domain, the army is in a position to exploit the opportunities for human–machine teaming (HMT) exposure. Naval and air forces will adopt platform specific suites for specially selected operators to integrate with and leverage this emerging technology. The possession of a flexible communications means that readily adapts to virtual training will enhance planning and mission rehearsals tremendously.

Interaction, perception, cognition and visualization based multimodal communication system is yet missing. Options to communicate, express and convey information in HMT setting with multiple options, suggestions and recommendations will certainly enhance military communication, strength, engagement, security, cognition, perception as well as the ability to act confidently for a successful mission.

The objective is to develop a multimodal autonomous interactive robot for military communications. This survey reports the state of the art, what exists and what is missing, what can be done and possibilities of extension that support the military in maintaining effective communication using multimodalities. There are some separate ongoing progresses, such as in machine-enabled speech, image recognition, tracking, visualizations for situational awareness, and virtual environments. At this time, there is no integrated approach for multimodal human robot interaction that proposes a flexible and agile communication. The report briefly introduces the research proposal about multimodal interactive robot in military communication.

The aim of the study was to evaluate depressive symptomatology within the student population of the University of Palermo (Italy). An anonymous online questionnaire was provided to the students of the University of Palermo. The first section investigated demographic and social data, while in the second section the QIDSSR16 (Quick Inventory of Depressive Symptomatology Self-Report) test was administered. 539 students (68.3% female) gave informed consent and completed the questionnaire. Considering as a dependent variable: Depressive symptomatology moderate-severe-very severe, the statistically significant independent variables associated are I don't live with my family (aOR 1.63, 95% CI 1.01-2.63, P=0.043), I currently smoke (aOR 1.55, 95% CI 1.01-2.39, P=0.048) and Low perceived health status (aOR 4.14, 95% CI 2.73-6.28, P<0.001). Smoking is associated with an increased risk of developing a high-grade depressive symptomatology. Family plays a crucial role in decreasing the risk of moderate, severe or very severe symptoms.