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This study aims to enhance the understanding of the current research landscape regarding the utilisation of telepresence robots (TPRs) in education.

The bibliometric and thematic analysis of research publications on TPRs was conducted using papers in the Scopus database up to 2023. The final analysis focused on 53 papers that adhered to the selection criteria. A qualitative analysis was performed on this set of papers.

The analysis found a rising trend in TPR publications, mostly from the USA as conference papers and journal articles. However, these publications lacked technology integration frameworks, acceptance models and specific learning design models. TPRs have proven effective in various learning environments, fostering accessible education, better communication, engagement and social presence. TPRs can bridge geographical gaps, facilitate knowledge sharing and promote collaboration. Obstacles to implementation include technical, physical, social and emotional challenges. Publications were grouped into four thematic categories: didactic methods of using TPRs, TPRs for educational inclusivity, TPR as a teacher mediator and challenges in using TPRs. Despite the significant potential of TPRs, their broader adoption in education is still facing challenges.

This research solely analysed research papers in the Scopus database, limiting TPR publications with the keywords “telepresence robots”, “learning”, “teaching” and “education”, excluding studies with different other keywords.

This study enhances understanding of TPR research in education, highlighting its pedagogical implications. It identifies a gap in the inclusion of technology integration frameworks, acceptance models and learning design models, indicating a need for further research and development.

The purpose of this study, we present a robot used in education. Influenced by the epoch of revolutionary digital technology, the methodology of education has gone boundless. The robot programming sustainability and ability to solve problems is one an important skill that coding students require to learn programming. This educational have been integrated into curriculum instruction in clubs.

Robotics education has been regarded as a potential approach to enhance students' Science, technology, engineering, and mathematics learning competencies. The popular platform of robots diversifies educational practices by its advantages of reorganizational and logical forms. In this paper, we focus on the effects of applying blended instructional approaches to robot education on students' programming sustainability and ability.

The students of department of mechanical engineering at the University in Taipei city, who participate elective educational robot courses, prove through surveys that the problem-based leaning method with robot programming can effectively enhance students' interests and learning motivations in learning new knowledge and promote students' designing skills for a sustainable society.

In this paper, the authors focus on the effects of applying blended instructional approaches to robot education on students' programming sustainability and ability.

The objective of this proposal was to propose an educational innovation resource for the delivery of workshops with lesbian, gay, bisexual, transgender, queer, intersex and asexual (LGBTQIA) themes aimed at students in high school and middle school to promote complex thinking as a necessary competency for understanding their continuously changing environment.

Training for sexual and gender diversity challenges higher education institutions, some of which have bet on developing complex thinking to meet this need. Although not all universities have sufficient resources to create activities that foster relevant and diversity-sensitive competencies, some have implemented strategies ranging from modifying their curricula to designing specific classroom tasks that support student inclusion. In response to the challenges faced by higher education institutions (HEIs) to promote the acquisition of thinking skills for complexity, this paper proposes deploying a humanoid robot as an educational innovation tool in training initiatives that promote issues of sexual and gender diversity. The deployment model is described, considering design, delivery and evaluation. The value of this proposal lies in using humanoid robotics as a classroom resource within the framework of social robotics, considering its implications in the educational context to develop complex thinking competency and training for diversity in higher education students.

The data presented here highlight the importance of educational institutions integrating content into their plans, programs and activities (both curricular and extracurricular) that promote inclusion and sexual and gender diversity and attractive teaching strategies to reinforce this perspective. So, this proposal offers a support tool for implementing this content in everyday educational contexts where the objectives focus on triggering complex reasoning competencies.

The varied responses and perceptions of students towards robotics and sexual diversity, as well as the lack of clear methods to assess educational outcomes, may compromise the effectiveness of the intervention.

The workshop proposed in this paper is configured as a series of iterations and repetitions in different educational fields, whether disciplinary (e.g. design or engineering) or transversal (e.g. entrepreneurship). The goal is to achieve educational strategies that generate a more significant impact at the institutional level. In this sense, the present proposal joins the actions implemented by other higher education institutions to make sexual and gender diversity visible to university students.

The overall aim is to bring awareness, understanding and education to students with an inclusive, respectful and equitable perspective.

Social robotics is an innovative and attractive tool for young people at the higher education level. We consider our study a pioneer in the area.

The shortage of Chinese language teachers have been identified as a pressing issue globally. This paper aims to respond to the needs by investigating and designing the learning innovation with autonomous programmable robot, NAO.

By thoughtfully embedding NAO robot into teaching basic Chinese language, this research demonstrates an inquiry qualitative case study of artificial intelligence design principles and learning engagement with rule-based reasoning and progress test design.

This state-of-the arts robot use its emotion recognition and body language automated (LED eye with various colours) to demonstrate the Chinese words, to increase learners’ understanding and enhance their memory of the words learned. The responses conclude that the novel learning experience is more fun and interesting, thus the engagement from the axis of novelty, interactivity, motivation and interest is enhanced.

It is recognised that the number of research participants was small, but the qualitative finding demonstrate key issues and recommendation that may inspire future empirical research.

Today, robotics is a rapidly growing field and has received significant attention in education. Humanoid robots are now increasingly used in fields such as education, hospitality, entertainment and health care. Educational robots are anticipated to serve as teaching assistants.

The learning engagement paradigm has shifted from manual engagement to personal response systems or mixed-reality on mobile platforms, and now with the humanoid robot, the recommendation of four principles and future work and for designing humanoid robot as a language tutor are discussed. The educational robot model can be changed to a newer robot such as CANBOT U05E.

The purpose of this paper is to address the role of social robots in the education industry, specifically within special developmental schools, as a part of an innovation technology portfolio. It identifies critical success factors (CSFs) arising from the development, adoption and implementation of social robots to educate students with special needs and assist their teachers.

The study engaged in longitudinal research over 12 months, tracking the role of the Matilda robot in providing educational services to students with special needs.

The results propose a three-faceted framework for social robot application in special education: development, adoption and implementation.

The study has shown the willingness of students and teachers to embrace social robot technology, and the CSF that arise from this adoption. It has also found that social robots achieve the greatest success within the development, adoption and implementation framework when championed by executive management, and peer teacher support.

Robots have a history of replacing human labor in undesirable, dirty, dull and dangerous tasks. With robots now emerging in academic and human-centered work, this paper aims to investigate psychological implications of robotizing desirable and socially rewarding work.

Testing the holistic stress model, this study examines educational professionals’ stress responses as mediators between robotization expectations and future optimism in life. The study uses survey data on 2,434 education professionals.

Respondents entertaining robotization expectations perceived their work to be less meaningful and reported more burnout symptoms than those with no robotization expectations. Future optimism about life was not affected by robotization expectations alone, but meaninglessness and burnout symptoms mediated the relation between expectations of robotization and future optimism.

Robotization may be viewed as challenging the meaningfulness of educational work by compromising ethical values and interaction. To prevent excess stress among personnel, robotization should be planned together with employees in co-operation negotiations. This implicates the need for co-designing technological changes in organizations especially in the cases of social use of robots.

Work’s meaningfulness in robotization is a novel research topic and a step toward socially sustainable robotization.

The relationship between robots and spirituality in the workplace is an interesting and evolving area of research that could provide important insights into the role of technology in promoting human well-being and personal growth. Robots are becoming increasingly common in the workplace and their functions in the business world are increasing. The use of robots in the workplace can affect people's spiritual values. Spiritual values such as being successful in their work, providing a sense of purpose and satisfaction, and feeling valued and important are important. The use of robots in the workplace may cause some people to take over many of the tasks that their jobs once did. In this case, employees may feel that their work no longer makes sense and may experience a loss of motivation. The fact that robots don't need the skills and experience of humans can make people feel inadequate in their jobs. However, the use of robots in the workplace can also support people's spiritual values. When robots work with humans, they have responsibilities such as interacting with them, showing empathy, respecting coworkers, and treating humans appropriately. This is important for people's mental and emotional health in the workplace. This approach will help people in the workplace work successfully and happily with robots. The use of robots in the workplace raises moral and ethical questions. In this section, research on the production of artificial intelligence-equipped robots and other intelligent technological machines and their use in organizations is evaluated within the framework of spirituality.

Based on rapid improvements in telecommunications and wireless networks with extensive educational contents, numerous studies have been conducted to improve our educational success/attainment/environment. With this trend, the purpose of this paper is to investigate users’ perceptions of teaching assistant (TA) robots and the possible motivations that impact the users’ intention to use (IU) the robots.

In light of the rapid development of and attempts at understanding interactions with social robots, including TA robots, this study uses structural equation modeling and confirmatory factor analysis.

The results indicated that perceived usefulness was the most crucial factor determining the users’ IU for TA robots. In addition, the relationships of the original technology acceptance model were confirmed. The study findings demonstrated the crucial importance of perceived enjoyment and service quality.

Although the role of TA robots has gained user attention, few investigations have been conducted to explain how IU is formed. The current study can thus act as the foundation for exploring the acceptance process in the context of TA robots.

This research empirically investigates how service employees' ratings of technology readiness (TRI), negative attitudes towards robots (NARS), Big Five personality traits (BFI) and emotional demands (ED) affect their willingness to work with service robots (WTW).

One set of data is collected from 410 service employees expected to work with service robots in Study 1. Another set of field data is collected from 102 employees working with service robots in Study 2. Hierarchical regression is used to test hypotheses about the impact of technology readiness, negative attitudes towards robots and Big Five personality traits on WTW. Additionally, the interactions of emotional demands in the workplace are analysed.

TRI-optimism and TRI-insecurity significantly affect WTW in Study 2 but are nonsignificant in Study 1. The impacts of NARS-emotions in interaction with robots and NARS-interaction with robots situations on WTW are significant in Study 1 but nonsignificant in Study 2. Moreover, BFI-neuroticism negatively affected WTW in Study 1, while these effects were nonsignificant in Study 2. Finally, emotional demands significantly interact with three of eleven dimensions of IVs in Study 1, but all interactions are nonsignificant in Study 2.

This research provides a guiding framework for service companies to screen employees expected to cowork with service robots, to enhance newly hired employees' WTW and to improve existing employees' WTW.

Integrating the characteristics of service employees, service robots and jobs into a theoretical framework, this research is the first to empirically examine the effects of service employees' several critical characteristics (technology readiness, negative attitudes towards robots and Big Five personality) on WTW and the moderation of job characteristics (emotional demands).

The construction industry is the major sector in China but it has been exposed to a series of problems including low productivity and workforce shortage. However, construction robots as an effective and sustainable approach to overcome the difficulties in construction industry have not been widely adopted. Few studies attempted to investigate on the adoption of construction robots in China. In order to fill this gap, this study aim to address the barriers to the adoption of construction robots in China.

Through literature review, semi-structured interview 24 factors hindering the adoption of construction robots are summarized. Next, a total of valid 150 questionnaires delivered to the 7 stakeholders were collected. Ranking analysis was used to identify 21 critical factors was determined by the mean score analysis and factor analysis extracted 21 critical factors into 5 clusters.

Results indicate that the “technological performance and management” cluster is the most dominant of the 5 clusters. The most important barrier is “Limited research and design input”, followed by “High purchase cost” and “Unstructured construction environment”. Construction robots are still under R&D have had limited field applications in the production and construction process.

The research findings provide a useful reference for different stakeholders to identify the critical factors appropriate strategies to promote the adoption of construction robots. Furthermore, this study provides recommendations to promote adoption of construction robots.