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The purpose of this paper is to examine how higher education students think about educational technologies they have previously used – and the implications of this understanding for their awareness of datafication and privacy issues in a postsecondary context.

The authors conducted two surveys about students’ experience with the ClassDojo platform during their secondary education. In both surveys, the authors included a question asking students to identify which ClassDojo-like platform they used in school. For this study, the authors examined responses to these screening questions, identifying the technologies that responses referred to and sorting technologies into categories.

Students identified a wide range of technologies when prompted to identify a technology similar to ClassDojo. Many responses suggested students have a broad, monolithic understanding of educational technology. This suggests the prevalence of a utilitarian tool perspective (rather than a platform perspective) that may be entrenched by the time that students reach higher education, hampering efforts to inform and educate them in that context.

To the best of the authors’ knowledge, there are few studies of students’ conflation of educational technologies in the extant literature. Furthermore, the platform perspective emphasized in this manuscript remains relatively rare in many fields associated with educational technology.

The purpose of this study is to identify global trends in disruptive technological change and map the social and policy implications, particularly as they relate to the educational ecosystem and main stakeholders across all levels of education.

The authors conducted a two-stage meta-analysis of 1,155 scholarly, peer-reviewed articles. The investigation involves a systematized literature review for data identification and collation adhering to defined selection criteria, and a network analysis to scrutinize data, consolidate information and unveil correlations and patterns from the literature review to produce a set of recommendations.

The study unveiled educational trends related to disruptive technologies and delineated four principal clusters representing how these technologies are transforming the education ecosystem. Additionally, a series of transversal aspects that reveal a societal vulnerability toward future prospects in the realms of ethics, sustainability, resilience, security, and policy were identified.

The findings spotlight an enlarging chasm between industry (and society at large) and conventional education, where many transformations triggered by disruptive technologies remain absent from teaching and learning systems. The study further offers recommendations and envisions potential scenarios, urging stakeholders to respond based on their positions concerning disruptive technologies.

Expanding from the meta-analysis of pertinent literature, this paper offers four collections of curated resources, four mini case studies and four scenarios for policymakers and local communities to consider, enabling them to plot courses for their optimal futures.

The research objectives are to interview rising preschool teachers studying at Russian universities, highlight the categories of information technologies used in preschool institutions based on the survey results and possible difficulties that may arise when working with them and develop tips for working with interactive technologies for preschool teachers.

The results of the survey showed a high level of involvement of information technology in the educational process. The majority of respondents (87%) use information technology in teaching and learning. The analysis of the answers shows relatively identical indicators of the use of different types of information technologies: 65% prefer more technological and 35% – applied. It was shown that the use of technological and applied ICT categories isn't similar among participants of the survey. To increase the level of students' and teachers’ knowledge with modern information technologies the program was created.

In preschool education, the kindergarten teacher or supervisor should act as the leader of the learning process, including the interactive one. The teacher should encourage children to independently use the ICT tools and guide the process.

Given the rapid pace of development of science and technology, the curriculum needs to be deepened and expanded by diversifying activities. It is worth paying attention to modern methods of teaching and learning, which require the use of pedagogical innovations, the acquaintance of students and teachers with possible ways to expand the activities and update the latest teaching methods in educational process.

This conceptual study investigates the adoption of education technology (EdTech) products among college students, focusing on identifying the key factors influencing the adoption process within educational institutions. Technology integration in education has rapidly gained prominence, with EdTech offering innovative solutions to enhance teaching and learning experiences. However, understanding the determinants that affect EdTech adoption remains critical for its successful implementation and impact. This paper aims (1) to identify the factors influencing the adoption of EdTech by college students (2) to create a conceptual model that shows the connections between the elements that lead to college students adopting EdTech.

The research employed a mixed-methods approach, combining qualitative data analysis and conceptual modeling to achieve the objectives. The underlying knowledge required to create a qualitative data gathering tool was obtained through a thorough literature analysis on innovation dissemination, educational psychology and technology adoption. College students, teachers and administrators participated in semi-structured interviews, focus groups and surveys to provide detailed perspectives on their attitudes about and experiences with EdTech. The Scopus and Web of Science databases are searched for relevant information in an organized manner in order to determine the factors influencing the adoption of EdTech. Second, an extended version of the technology adoption model is adopted to develop a qualitative data-based conceptual framework to analyze EdTech adoption in the Indian context.

Overall, by highlighting the critical components that emotionally influence college students' adoption of EdTech products in educational institutions, this course adds to the body of information already in existence. The conceptual framework model serves as a roadmap for educational stakeholders seeking to leverage EdTech effectively to enrich the learning environment and improve educational outcomes. By recognizing the significance of the identified factors, academic institutions can make informed decisions to foster a climate conducive to successful EdTech integration.

A comprehensive conceptual framework model was developed based on qualitative data analysis to illustrate the interrelationships between the identified factors influencing EdTech adoption. This model presents a valuable tool for educational institutions, policymakers and EdTech developers to comprehend the complex dynamics of implementing these technological solutions.

The findings of this study demonstrated a number of important variables that affect the uptake of EdTech products in educational settings. These factors encompassed technological infrastructure, ease of use, perceived usefulness, compatibility with existing academic practices, institutional support, financial constraints and individual attitudes towards technology. Additionally, the research explored the significance of institutional preparation for embracing technological advancements as well as the influence of socio-cultural elements.

The application of artificial intelligence chatbots is an emerging trend in educational technology studies for its multi-faceted advantages. However, the existing studies rarely take a perspective of educational technology application to evaluate the application of chatbots to educational contexts. This study aims to bridge the research gap by taking an educational perspective to review the existing literature on artificial intelligence chatbots.

This study combines bibliometric analysis and citation network analysis: a bibliometric analysis through visualization of keyword, authors, organizations and countries and a citation network analysis based on literature clustering.

Educational applications of chatbots are still rising in post-COVID-19 learning environments. Popular research issues on this topic include technological advancements, students’ perception of chatbots and effectiveness of chatbots in different educational contexts. Originating from similar technological and theoretical foundations, chatbots are primarily applied to language education, educational services (such as information counseling and automated grading), health-care education and medical training. Diversifying application contexts demonstrate specific purposes for using chatbots in education but are confronted with some common challenges. Multi-faceted factors can influence the effectiveness and acceptance of chatbots in education. This study provides an extended framework to facilitate extending artificial intelligence chatbot applications in education.

The authors have to acknowledge that this study is subjected to some limitations. First, the literature search was based on the core collection on Web of Science, which did not include some existing studies. Second, this bibliometric analysis only included studies published in English. Third, due to the limitation in technological expertise, the authors could not comprehensively interpret the implications of some studies reporting technological advancements. However, this study intended to establish its research significance by summarizing and evaluating the effectiveness of artificial intelligence chatbots from an educational perspective.

This study identifies the publication trends of artificial intelligence chatbots in educational contexts. It bridges the research gap caused by previous neglection of treating educational contexts as an interconnected whole which can demonstrate its characteristics. It identifies the major application contexts of artificial intelligence chatbots in education and encouraged further extending of applications. It also proposes an extended framework to consider that covers three critical components of technological integration in education when future researchers and instructors apply artificial intelligence chatbots to new educational contexts.

In the realm of construction education, the investigation of immersive learning and extended reality (XR) technologies has experienced a surge in recent times. Nevertheless, there remains a notable lack of comprehension surrounding the most efficient ways to integrate these technologies into tailored teaching approaches for vocational construction training. This research study aims to pinpoint the key factors that construction vocational education and training (VET) providers must consider when introducing XR technologies into their training schemes.

This study conducted an in-depth literature review to develop an initial framework to summarise training, technology and institutional factors influencing the educational-technology integration of XR technologies in VET. In addition, this study utilised a Delphi technique, including semi-structured group discussions and two rounds of online follow-up questionnaires, to capture VET experts’ judgements on the importance of decision-making criteria.

This study has identified the critical factors to be considered in the VET sector when adopting XR technologies. Findings revealed institutional factors were the most important criteria for participants, followed by training and technology factors.

The current decision-making process focuses on selecting XR technologies rather than evaluating their performance after implementation. Therefore, more research is needed to monitor the implementation of this technology in curricula from a senior management perspective. This will help to understand the cost and value factors related to the value proposition of XR technologies in courses.

To ensure the success and long-term viability of the technology-curriculum interface, it is important to consider factors such as the availability of technical and educational support, data security and cost-effectiveness. It is also crucial to focus on ease of use and content development that emphasises instruction to create engaging content for learners.

The potential impact of this study is underpinned by two facts: (1) it constitutes the first effort made in the field to comprehensively elicit VET expert judgements in relation to XR technologies, and (2) it offers decision-making criteria that are at play in seeking to take advantage of high-cost technologies that are rapidly evolving. While there is no simple checklist for XR implementation, this study takes a step further to identify significant factors influencing XR integration in vocational construction training.

The purpose of this paper is to evaluate undergraduate student perceptions about the application of immersive technologies for enhancing the student learning experience. This study assesses the viewpoints of students from varying multidisciplinary backgrounds about whether immersive technologies can enhance their learning experience and increase their level of engagement in the context of higher educational delivery.

The research used a case study methodology adopting a questionnaire-based research mixed methods approach. In total, 83 participants completed the questionnaire. The purpose of the research was to evaluate and interpret students’ perspectives at higher educational level about the use of immersive technologies towards enhancing their learning experience. There was also a focus on remote educational delivery due to the legacy of COVID-19.

The findings suggest that there is still more empirical work to be undertaken regarding the application of immersive technologies in higher education. The study revealed that there are immersive benefits though preference for face-to-face teaching remains popular. The negative connotations associated with immersive technology use in higher education, (e.g. virtual reality), such as cost of equipment and motion sickness, substantiates the themes identified in the academic literature.

The study explores a diversity of immersive technologies and their application in higher education (HE) contexts. Findings indicate that although there are acknowledged pedagogical benefits of immersive technology use in HE prevalent barriers remain that require further empirical research if immersive technology use is to be universally used in the sector.

Educational technologies such as Padlet have begun to transform the way teachers teach, students learn, and teachers and students interact. However, relatively little emphasis has been given to explore collaborative learning (CL) using educational technologies such as Padlet as a means of student engagement. Thus, the purpose of this reflective article is to gain insight into the use of educational technologies Padlet in the tutorial workshop in accounting program at an Australian university.

This study adopts a qualitative podcast research approach with a specific focus on the author's personal reflection over the course of a semester in an Australian university classroom.

The findings of this article (based on the author's own reflection from the classroom) show that a digitally innovative useful tool Padlet works on a variety of different devices and does not require student's technical know-how to use it. The findings further suggest that Padlet technology as a great equaliser has helped students' engagement in classroom activities.

Despite some noticeable limitations, this paper suggests that using Padlet in classroom engagement activities has provided a smoothing space for CL. The findings of this reflective article would be an interest to students, academics, curriculum designers and educational technology experts.

This study provides interesting insights into how Padlet contributes to the student's engagement.

The use of cutting-edge technology in education has the potential to transform the learning experience and greatly contribute to the achievement of the Sustainable Development Goals (SDGs) in emerging economies. With the increased accessibility of technology and online resources, digital literacy has become an essential skill in today's world. Smart e-learning platforms have emerged as a new tool for offering education and training in emerging economies, while also boosting digital literacy.

This chapter will attempt to investigate the impact of new-age technologies on the educational system and how they can help emerging economies achieve the SDGs. This study looks at case studies from various emerging economies, analyzing how innovative technologies like digital learning, smart teaching and learning, mobile learning, online learning, artificial intelligence (AI), virtual reality, and gamification are used to improve education quality and promote SDGs. This chapter emphasizes the impact of technological integration on access to education, reducing inequality, and improving educational quality and relevance. This study also looks into how education may help promote environmental sustainability and economic growth. According to the findings, integrating new-age technologies into the education system can be a game changer in achieving SDGs in emerging nations.

COVID-19 played a crucial role in the development and enlargement of learning via electronic media. Still, the recent fourth industrial revolution [Industry 4.0 (I4.0)] paved the road toward Education 4.0. In this regard, several research challenges arise, involving the preparation of gamification strategies in online learning environments. In this sense, this paper aims to investigate the relationship between technologies of I4.0 and gamification practices in online learning around the world. Specifically, to categorize the studies of the scientific literature in the area into knowledge domains and the mention of I4.0 technologies and to verify the relationship of these technologies with the different educational levels.

The preferred reporting items for systematic reviews and meta-analysis protocol was used as a research method with 130 papers included for full content analysis and obtained from the Web of Science.

The leading I4.0 technologies mentioned in the analyzed papers were simulation, Internet of Things and augmented/virtual reality, in this order. Although there are more mentioned technologies, the domain of knowledge to be applied and the educational level interfere in choosing these pillars. With this, the main findings of this relationship were exposed in a singular, modern, active, realist, technological framework to demonstrate how I4.0 relates to the practice of gamification in online educational environments.

To the best of the authors’ knowledge, this is the first study that brings together the relationship of gamification applied in e-learning with I4.0 technologies.