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This study aims to explore how the integration of augmented reality (AR) filters into English as a second language (ESL) can enhance speaking fluency teaching. The study sheds light on how AR filter can be best implemented in speaking fluency teaching by the innovative opportunities to transform language learning experiences. In this study, ESL teachers' perceptions and experiences with AR filters in speaking fluency instructions were examined through qualitative research method.

This study is an evaluation stage study within a bigger study which utilized design and developmental research (DDR) approach. In this third phase of DDR which is the evaluation phase, this study involved semi-structured interviews with six ESL teachers from six different public secondary school settings. Thematic analysis was conducted on the interview transcripts.

Data analysis revealed several key findings regarding the utilization of AR filters in ESL speaking fluency teaching. Firstly, participants reported that AR filters can be best used in various educational settings. Secondly, AR filters were found to provide supports for various students’ levels. Thirdly, participants identified that AR filters can be best used to cater students with diverse learning styles.

The work aims to help ESL educators in using AR filters in their speaking fluency teaching. The limitation of this study is that it includes only the experience of teachers from a public secondary school setting without taking into consideration other secondary institutions such as ESL teachers from private schools or boarding schools. The generalizability of our findings may be affected due to our reliance on self-reported data from a small sample size.

The implications of these findings for ESL pedagogy and teacher professional development are discussed. By incorporating AR filters into ESL speaking fluency instruction, educators can create speaking fluency teaching in various settings such as formal and informal settings. Furthermore, ESL teachers may immerse students in environments that cater to the diverse language learners' styles and language levels through the use of AR filter. Overall, this research contributes to a deeper understanding of the potential of AR filters to transform ESL teaching and learning practices, paving the way for future innovations in language education.

Available studies exploring AR in English teaching exist, but very limited of those utilized markerless AR, in the form of AR filters with speaking fluency teaching. Also, this paper focused on teachers’ experience with AR filters in contrast to students’ experience in public secondary school settings.

Preservice teacher (PST) professional development programs are crucial for cultivating high-quality STEAM teachers of the future, significantly impacting the quality of regional STEAM education. The Guangdong-Hong Kong-Macao Greater Bay Area, as a region of cross-border cooperation, integrates the resources and advantages of Guangdong, Hong Kong, and Macao, possessing rich cultural heritage and innovative capabilities. Transdisciplinary Education for Cultural Inheritance (C-STEAM) is an effective approach to promoting educational collaboration within the Greater Bay Area, facilitating the integration of both technological and humanities education. This study aims to develop a Technology-Enabled University-School-Enterprise (T-USE) collaborative education model and implement it in the Greater Bay Area, to explore its role as a support mechanism in professional development and its impact on C-STEAM PSTs' professional capital.

Adopting a qualitative methodology, the study interviewed PSTs who participated in a C-STEAM teacher education course under the T-USE model. Thematic coding is used to analyze their knowledge acquisition, interaction benefits with community members, and autonomous thinking and decision-making in theoretical learning and teaching practice.

The findings show that the T-USE model significantly enhanced the PSTs' human capital, including teaching beliefs, knowledge, and skills. In terms of social capital, PSTs benefited from collaboration with PST groups, university teaching teams, in-service teachers, and enterprises, though challenges such as varying levels of expertise among in-service teachers and occasional technical instability emerged. For decisional capital, the T-USE model provided opportunities for autonomous thinking and promoted teaching judgment skills through real teaching challenges and scenarios. Reflective practice activities also supported PSTs' professional growth.

This study reveals the effectiveness and internal mechanism of the T-USE model in C-STEAM PST training, offering significant theoretical and practical references for future PST education.

Chat Generative Pre-trained Transformer (ChatGPT) has become everyone’s talk. It frightens many professionals, who worry about losing their jobs. ChatGPT may reconstruct some professions; some occupations may vanish while new ones may appear.

This mixed-methods study explores whether and how the use of ChatGPT impacts English is taught as a foreign language (EFL) students' social and emotional learning (SEL). The study used a questionnaire and collected perception data from 57 EFL students. A discussion with seven EFL professors was also formulated to triangulate the findings.

Results indicate that EFL students have high positive perceptions of using ChatGPT in their learning (M = 3.87). Results also showed that using ChatGPT has a moderate impact on EFL students' SEL (R = 514). This moderate effect was confirmed by the qualitative findings, which indicated that ChatGPT positively impacts EFL students' SEL by allowing them to practice conversation skills, aiding them in managing their emotional intelligence, providing them with feedback and reducing their anxiety. However, findings also indicated that ChatGPT reduces students' creativity and limits their emotional growth. Finally, the findings reported that for better use of ChatGPT, supervision is key.

This study recommends the use of ChatGPT in a way that helps students' creativity and emotional growth.

This systematic literature review aims to identify the pattern of data mining (DM) research by looking at the levels and aspects of education.

This paper reviews 113 conference and research papers from well-known publishers of educational data mining (EDM) and learning analytics-related research using a recognized literature review in computer science by Carrera-Rivera et al. (2022a). Two major stages, planning and conducting the review, were used. The databases of Elsevier, Springer, IEEE, SAI, Hindawi, MDPI, Wiley, Emerald and Sage were searched to retrieve EDM papers from the period 2017 to 2023. The papers retrieved were then filtered based on the application of DM to the three educational levels – basic, pre-tertiary and tertiary education.

EDM is concentrated on higher education. Basic education is not given the needed attention in EDM. This does not enhance inclusivity and equity. Learner performance is given much attention. Resource availability and teaching and learning are not given the needed attention.

This review is limited to only EDM. Literature from the year 2017 to 2023 is covered. Other aspects of DM and other relevant literature published in EDM outside the research period are not considered.

As the current trend of EDM shows an increase in zeal, future research in EDM should concentrate on the lower levels of education to identify the challenges of basic education which serves as the core of education. This will enable addressing the challenges of education at an early stage and facilitate getting a quality education at all levels of education. Appropriate EDM techniques for mining the data at this level should be the focus of the research. Specifically, techniques that can cater for the variation in learner abilities and the appropriate identification of learner needs should be considered.

Content sequencing is necessary in facilitating an easy understanding of concepts. Curriculum design from basic to higher education dwells much on this. Identifying the challenge of learning at the early stages will facilitate efficient learning. At the basic level of learning, data on learning should be collected by educational institutions just as it is done at the tertiary level. This will enable EDM to accurately identify the challenges and appropriate solutions to educational problems. Resource availability is a catalyst for effective teaching and learning. The attributes of a learner will enable knowing the true nature of the learner to determine the prospects of the learner.

This research has not been published in any journal. The information presented is the original knowledge of the authors. However, a pre-print of the work is in Research Square.

This research aims to investigate the attitudes of young children toward learning science in the early educational grades.

The study involved conducting interviews with seventy-three children attending institutions in Sharjah, United Arab Emirates. The structured interview method was employed to collect valuable data.

The findings of the interviews shed light on the inclination of young children to foster positive attitudes toward science education. These inclinations include the facilitation of knowledge acquisition that enables children to develop skills for applying scientific concepts in real-life contexts, the incorporation of hands-on activities both inside and outside the classroom, and the prioritization of child-centered approaches to learning.

This research aims to explore the attitudes of young children in early educational grades toward learning science. Interviews were conducted with seventy-three children in Sharjah, UAE, using a structured interview method. The findings highlight children’s inclination toward positive attitudes in science education, including the importance of knowledge acquisition for applying scientific concepts in real-life contexts, hands-on activities inside and outside the classroom, and child-centered learning approaches. Based on these findings, the study provides recommendations and conclusions to enhance science education experiences for young children.

Multisited ethnography has primarily been portrayed as a challenge for the following field-worker, with the researcher taking the central role and neglecting research participants also experiencing a multisited nature of their work. The authors argue that literature on multisited ethnography merely discusses multisitedness as a methodological theme. In correspondence, the authors propose to think of multisitedness not just as a methodological theme but also as an empirical theme.

The authors contend etic and emic perspectives to address multisitedness empirically, which enables researchers to compare and contrast the multisited topic of inquiry in academic “outsider” terms with the etic analysis and considering the perspective of the research participants' multisited experiences using the emic perspective. To show the fruitfulness of discussing multisitedness using the complementary etic and emic analysis, the authors present the example of Mennonite entrepreneurial activities in Belize, a heterogeneous group of migrants that established themselves as successful traders and entrepreneurs.

Through an etic multisited ethnographic perspective, the authors compare and contrast four communities of Mennonites in terms of their entrepreneurial activities, technology and energy use. Through an emic perspective, the authors demonstrate how Mennonites, while preferring an in-group focus, navigate their multisited entrepreneurial activities, which require interaction with the outside world.

The authors highlight the value of combining etic–emic reflections to acknowledge and include the multisited nature of many social phenomena as experienced by the research participants.

The purpose of this study is to explore learner-centered emerging technologies, methods of learning with artificial intelligence (AI), student engagement and concerns related to the assessment process at public and private universities in Bangladesh.

The study employed a qualitative research approach to investigate innovations in learning, student engagement and assessment concerns. Respondents were categorized into three clusters: Cluster-A comprised students from various academic levels, Cluster-B included faculty members with online teaching experience and Cluster-C consisted of information and communication technology (ICT) experts from university information technology (IT) departments. Qualitative data were collected via in-depth interviews.

The research findings indicate the widespread acceptance and utilization of learner-centered technologies, with online and hybrid learning offering flexibility, accessibility, self-paced learning and better student engagement opportunities. While AI platforms like ChatGPT and Gemini are valued for clarifying theoretical concepts, concerns exist regarding their ethical use, particularly in completing assignments. The assessment process faces challenges related to online exams, with concerns over cheating prompting calls for AI-supported solutions. However, there is a gap between commitment and action in regulating unethical AI usage, highlighting the need for clearer guidance and investment in technological solutions for an effective assessment process.

Limitations of this study include the inability to quantify the satisfaction level with the emergence of learner-centered technologies, which could be better explained through a quantitative study.

This study’s originality and value stem from its thorough investigation of innovations in learner-centered education considering the emergence of AI and student engagement, uniquely focusing on the perspective of a developing country.

In response to growing concerns over the negative consequences of Internet addiction on adolescents’ mental health, coupled with conflicting results in this literature stream, this meta-analysis sought to (1) examine the association between Internet addiction and depressive symptoms in adolescents, (2) examine the moderating role of Internet freedom across countries, and (3) examine the mediating role of excessive daytime sleepiness.

In total, 52 studies were analyzed using robust variance estimation and meta-analytic structural equation modeling.

There was a significant and moderate association between Internet addiction and depressive symptoms. Furthermore, Internet freedom did not explain heterogeneity in this literature stream before and after controlling for study quality and the percentage of female participants. In support of the displacement hypothesis, this study found that Internet addiction contributes to depressive symptoms through excessive daytime sleepiness (proportion mediated = 17.48%). As the evidence suggests, excessive daytime sleepiness displaces a host of activities beneficial for maintaining mental health. The results were subjected to a battery of robustness checks and the conclusions remain unchanged.

The results underscore the negative consequences of Internet addiction in adolescents. Addressing this issue would involve interventions that promote sleep hygiene and greater offline engagement with peers to alleviate depressive symptoms.

This study utilizes robust meta-analytic techniques to provide the most comprehensive examination of the association between Internet addiction and depressive symptoms in adolescents. The implications intersect with the shared interests of social scientists, health practitioners, and policy makers.

There are many factors that contribute to a person's career choice. The decision of whether or not to join the family business is certainly most influenced by parents. The aim of this research is to determine how much of an impact parents have on their next-generation family members' (NGFMs) decision to join the family business.

Following a positivistic paradigm, a cross-sectional design was followed using a quantitative, self-administered questionnaire through a judgemental sampling technique. A structured questionnaire was distributed to South African respondents who have parents who own a family business. The data were analysed using Statistica.

The results indicate that parental style, culture, self-efficacy and parental identification were found to influence the NGFMs' intention to join the family business significantly. Their decisions can be influenced by several factors, and parents can better manage these aspects by being aware of these influencing factors.

Given the imminent ageing of a large cohort of senior leaders, this research adds to the body of knowledge by highlighting the necessity for committed, willing and ready next-generation family members (NGFMs) to ensure efficient succession in family businesses. Therefore, effective management is required for succession-planning, particularly from the perspective of the successor.

This study, therefore, responds to calls for more in-depth quantitative studies on family businesses in general and on Black-owned family businesses in South Africa in particular. This study will evaluate the significance of parent influence on NGFMs to join Black family-owned businesses in South Africa. This research will assist family business owners and their families in understanding their children's intentions, designing and evolving an appropriate system to instill necessary traits, skills and attitudes in the children, preparing them for upcoming challenges, adding new perspectives to the family business and ensuring its profitability and long-term growth.

This study aimed to collect data on the perception of top executive women in the Aruban hotel sector regarding implicit gender bias.

A qualitative study on the metacognitive processes of awareness, evaluation and autocorrection was utilized. Through purposive sampling women in the top two leadership levels in Aruba Hotel and Tourism Association (AHATA) member-hotels were selected.

Results showed that a third of the top female executives experienced implicit gender bias career barriers. Different types of bias were identified such as: judgments regarding pregnancy, unequal pay and obstructions by the male general manager. How the women dealt with this bias depended on the type of bias and their personality. The identification of bias and its effects on the career trajectory were also influenced by characteristics of the work setting such as the size of the hotel and functional area.

The research limitations include the chosen scope, the impediment of the generalizability of the findings due to the nature of the study, self-perceived data and possible researcher and respondent bias.

This study added to the existing body of leadership development literature with a focus on the effects of implicit bias on female leadership advancement. Some specific theoretical concepts that were combined in this study are organizational leadership, metacognition and the unconscious mind. The important role of personality was also confirmed in this study however one element that stood out in the current study was the effect of resilience in overcoming perceived barriers and attaining personal career goals. Suggestions and directions for future research are provided.

Despite the fact that gender bias was not observed in an explicit form, participants advised to be aware of the existence and effects of the implicit form and to seek education and guidance from female mentors and to remain goal oriented when confronted with this bias. Since female under-representation in senior leadership positions in other economic sectors is not observed this advice serves as a significant practical implication for the development of female leadership in this important sector in Aruba.