Achieving the maximum efficiency in teaching a second language (L2) has always been an important issue for educators. Current globalization processes, development of international business relations, political integrations among the various countries throughout the world, and the abilities of latest information and communications technologies (ICT) dictate the more significance of knowledge of foreign languages. All living conditions should be constructed according to the mentioned surrounding changes during the ICT era. Correspondingly, teaching methodologies are also being adapted in order to teach people more efficiently. This paper studies how cellular phones (cell phones) can be used in learning English phrases. In order to examine the impact of cell phones on learning a language an experiment was run among the college and university students in Kazakhstan, supported by GSM Network of KCell (Kazakhstan). This paper discusses the experiment results, in which 126 college and university students participated, and makes some suggestions based on the experimental mobile learning. Study reveals that users could make noticeable improvements learning through their cell phones after the conducted experiment. Positive improvements were noticed on the results of general tests of English language those conducted among all participants of the research.

The purpose of this study is to investigate the level of anxiety in learning Chinese, discover the dominant factors of anxiety in learning Chinese language and analyze differences in Chinese language anxiety based on gender, year of study and HSK in foreign students in Wuhan, China. The research method used was quantitative using a survey approach. There are 250 foreign students as the samples, consisting of 108 male and 142 female students. The data collection technique used is questionnaire called CLAS (Chinese Learning Anxiety Survey) adapted from FLCAS (Foreign Language Classroom Anxiety Survey). The data were analyzed using SPSS with descriptive statistical techniques and Multivariate Analysis. The results showed that Chinese language anxiety among foreign students is on a moderate level, with communication anxiety as the most dominant aspect. The male and female students have the same anxiety level in learning Chinese. The foreign students who had longer duration of learning Chinese and had higher HSK tend to have lower level of anxiety in learning Chinese. This showed that years of study and HSK were two factors that determine the high or low level of anxiety in learning Chinese for foreign students.

In Nazarbayev Intellectual Schools, international teachers, who were in mentorship positions were interviewed for their experiences with mentee resistance to mentoring. In this paper, the authors investigate aspects of the perception of resistance to mentoring in the program for long-service teachers. It is the aim of this paper to explore the definitions that mentors attach to resistance, based on their experiences in one NIS School. The questions to be answered were how the mentors defined mentoring, and how the mentors experienced resistance from their mentees. Semi-structured interviews were conducted face-to-face. The mentor responses were captured on a dictaphone, and transcribed later. Eleven teachers participated in the interviews. The definitions of mentoring resistance were examined in seven categories as hesitation, stagnation, body language, fear, unavailability, and mistrust of the mentor. Stagnation was the largest category, displayed by unwillingness to try new things, unwillingness to see own limitations, close mindedness, unwillingness to see own weakness, and passivity in action.

This study investigated student teachers’ teaching self-efficacy level and factors that predict it (using five-factor mentoring model). Two hundred and ten third and fourth-year student teachers (N=100/N=110; 93.8% females) were involved in the study and asked to complete a self-report questionnaire. The “Mentoring for Effective Primary Teaching” instrument and “Teachers' Sense of Efficacy Scale” were used to collect the data. Findings indicated that higher levels of student teachers' self-efficacy are positively associated with the level of mentoring experience during the teaching practicum. The results found that fourth-year students reported significantly higher levels of teaching self-efficacy than third-year students. This study reported that there is a significant mean difference in student teachers’ self-efficacy beliefs in terms of having parents in the teaching profession. A multiple regression found that mentor teachers’ personal attributes are the best predictor of student teachers' teaching self-efficacy beliefs.

The most crucial factor influencing inclusive education is the preparation of educators for their professional activities. The aim of this study was to create and present a model for developing the professional competences of pre-service social educators in the context of inclusive education. The model reflected its main components: aim, objectives, methodological approaches, principles, technologies, study conditions, forms of training and stages of implementation (preliminary, main and final). The model introduced for professional activity in the conditions of inclusive education in the university's study process has the following characteristics: expediency, integrity, internal unity and consistency. The distinctiveness of the presented model lies in the possible application of taught subjects, such as the Inclusion in the Educational Environment module developed by the authors, educational internships and research work of students (RWS). Furthermore, the model is functional, based on a systemic and student-centred approaches and the principle of continuity of learning, i.e., lifelong learning (LLL).

This article examines the influence of the university environment and learning programs on students' entrepreneurial intentions and attitudes, considering the moderating roles of entrepreneurial self-efficacy and locus of control. The empirical analysis employs a multilevel (hierarchical) linear model, utilizing responses from 713 students across 30 universities in Kazakhstan who participated in the GUESSS 2021 project survey. Our findings reveal that students' entrepreneurial intentions are directly influenced by entrepreneurial self-efficacy and locus of control. However, the locus of control is also indirectly influenced by the university environment and learning program. The learning program's effect on both entrepreneurial aspirations and attitudes is mediated by self-efficacy. Locus of control, conversely, negatively affects both entrepreneurial attitudes and intentions in program learning. The study's results underscore that student entrepreneurship is shaped by personal factors such as self-efficacy and locus of control, alongside the university context. Interestingly, the findings also indicate interdependencies between these factors, further influencing students' entrepreneurial intentions and attitudes.

The ability to think creatively has a vital role in the development of preschool children. This research provides a comprehensive review of innovative approaches and strategies for developing creative thinking in preschool children based on current trends and methodologies used in educational settings. This research shows three significant areas: (a) creative thinking skills in preschool children, (b) factors influencing creative thinking skills in depth, and (c) innovative strategies and approaches to stimulate creative thinking abilities in preschool children. This research uses a literature study method assisted by the publish perish application to find reference sources related to creative thinking abilities in preschool children. Studies show that creative thinking abilities in preschool children enable them to find innovative solutions, help them adapt to challenges, foster self-confidence and courage, and enrich their experience and knowledge of the world around them. Meanwhile, preschool children's creative thinking abilities are influenced by collaboration from the external environment (parents, teachers, and society); providing support and examples for children to develop and stimulate their creative thinking skills is very important.

Augmented reality technologies can create unique interactive learning environments for students with special educational needs that enrich the learning process and provide immediate feedback. This research analyzed the use of augmented reality in teaching digital literacy courses for primary school children with special educational needs. The study involved a quasi-experiment with participants using a mobile augmented reality application to assess its impacts on learning outcomes. The results showed the positive effects of augmented reality on student achievement. The results highlight the potential of augmented reality in inclusive education. In addition, the findings emphasize the importance of further research and development in this area and an increased use of augmented reality to improve the educational experience of students with disabilities. In light of the results, we conclude with recommendations for integrating augmented reality into educational programs and improving educational practices.

The proliferating field of writing education increasingly intersects with technological innovations, particularly generative artificial intelligence (GenAI) resources. Despite extensive research on automated writing evaluation systems, no empirical investigation has been reported so far on GenAI’s potential in cultivating intermedial writing skills within first language contexts. The present study explored the impact of ChatGPT as a writing assistant on university literature students’ intermedial writing proficiency. Employing a quasi-experimental design with a non-equivalent control group, researchers examined 52 undergraduate students’ essay writings over a 12-week intervention. Participants in the treatment group harnessed the conversational agent for iterative essay refinement, while the reference group followed traditional writing processes. Utilizing a comprehensive four-dimensional assessment rubric, researchers analyzed essays in terms of relevance, integration, specificity, and balance of intermedial references. Quantitative analyses revealed significant improvements in the AI-assisted group, particularly in relevance and insight facets. The findings add to the research on technology-empowered writing learning.

Autism Spectrum Disorder (ASD) is a neurodevelopmental condition marked by persistent challenges in language acquisition, particularly in the lexical and semantic domains. This study examined the effectiveness of an adapted Applied Behavior Analysis (ABA) intervention in improving lexical and semantic language skills among preschool-aged children with ASD. A total of 3- to 6-year-old children participated, divided into experimental and control groups across two specialized centers. The experimental group received an adapted ABA-based program emphasizing discrete trial teaching, functional communication strategies, visual supports, and targeted reinforcement techniques. Pre- and post-intervention assessments were conducted using a structured methodology that evaluated active and passive vocabulary, semantic categorization, and contextual language use. Results from paired t-tests showed statistically significant improvements in the experimental group compared to the control group (p < .05). Despite these gains, generalization of language skills across social contexts remained limited. These findings highlight the value of individualized behavioral interventions and support their inclusion in early childhood programs for children with ASD.

The rapid integration of artificial intelligence (AI) technologies into the field of higher education is causing widespread public discourse. However, existing research is fragmented and lacks systematic synthesis, which limits understanding of how college and university students adopt artificial intelligence technologies. To address this gap, we conducted a systematic review following the guidelines of the PRISMA statement, including studies from ScienceDirect, Web of Science, Scopus, PsycARTICLES, SOC INDEX, and Embase databases. A total of 5594 articles were identified in the database search; 112 articles were included in the review. The criteria for inclusion in the review were: (i) publication date; (ii) language; (iii) participants; (iv) object of research. The results of the study showed: (a) The Technology Acceptance Model and the Unified Theory of Technology Acceptance and Use are most often used to explain the AI acceptance; (b) quantitative research methods prevail; (c) AI is mainly used by students to search and process information; (d) technological factors are the most significant factors of AI acceptance; (e) gender, specialty, and country of residence influence the AI acceptance. Finally, several problems and opportunities for future research are highlighted, including problems of psychological well-being, students’ personal and academic development, and the importance of financial, educational, and social support for students in the context of widespread artificial intelligence.

Globalization, digitalization, and evolving national regulations have intensified the need for rigorous quality-assurance systems to secure accreditation in Higher Education Institutions (HEIs). This study asks: What theoretical contributions underpin HEI accreditation, and how have research themes evolved? Employing the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) and Bibliometric Analysis via Biblioshiny and Vantage Point, we examined 1,252 documents indexed in Scopus® (781) and Web of Science™ (471) from 2012 to May 2025. Findings delineate three production phases—Foundation Consolidation (2012–2017), Expansion and Diversification (2017–2020), and Sustained Transformation and Innovation (2020–2025)—and three thematic perspectives: (a) Teaching and Learning Quality, (b) Technology and Sustainability as Quality Catalysts, and (c) Governance, Management, and Accountability. Multiple Correspondence Analysis (MCA) identified three Motor Theme clusters—[1] Sustainable Development and Institutional Change, [2] Technological Pedagogy and Student Experience, and [3] Governance and Regulation—led by Spain, the United States, Chile, Colombia, the UK, Australia, and India. Conclusions underscore accreditation’s dual role as a strategic lever for institutional improvement and a competitive mechanism, with emerging focus on competency, e-learning, employability, machine learning, and sustainability. Future research should explore cross-border accreditation dynamics; the impact of AACSB and NAAC standards on business-school curriculum design and program quality; accreditation’s pedagogical effects; and leadership practices for effective implementation.