Implementation Of Educational Technologies Research Articles

Teaching and Learning English in the Digital Era: Opportunities and Challenges

This paper examines the opportunities, challenges, and perspectives of teaching and learning English in the digital era. With the rapid advancement of technology and its integration into educational settings, English language instruction has experienced significant transformations. The paper explores the potential benefits of digital tools and platforms in language learning while also addressing the challenges in the digital language classroom. Based on a review of previous studies and a comprehensive analysis, it further discusses the evolving roles of teachers and learners in this digital landscape and presents strategies for effective implementation and utilization of technology in English language education. The findings offer to share expertise, disseminate the lessons learned, and recommend best practices collected from scholarship. Sustainable solutions to specific problems and perspectives to cope with future challenges have been proposed with the recommendation of effective systems such as Computer Assisted Language Learning (CALL), Mobile Phone Assisted Language Learning (MPALL) and other sophisticated tools that fit some specific situations.

Explaining primary school teachers’ intention to use digital learning platforms for students’ individualized practice: comparison of the standard UTAUT and an extended model

IntroductionThough technologies for individualization appear to benefit primary school students’ learning, studies suggest that their integration remains sparse. Technology acceptance research has largely focused on exploring teachers’ general acceptance of educational technologies, although factors might predict usage intentions differently depending on the specific usage purpose of an educational technology. Digital learning platforms for individualized practice are comparably challenging and complex to use and so far, predictors of primary school teachers’ intention to integrate such technologies into lessons are largely unknown. Meanwhile, research on teachers’ technology acceptance generally lacks comparability due to the absence of a shared theoretical model and usage purpose specification.MethodsIn a sample of 272 German primary school teachers, this study aims to identify predictors of teachers’ acceptance of digital learning platforms for students’ individualized practice in consideration of the unified theory of acceptance and use of technology (UTAUT). To ensure a shared understanding, teachers were provided with a video which specified the addressed usage purpose. Regarding teachers’ usage intention, the explanatory power of the standard UTAUT predictors was investigated and compared with an extended UTAUT model accounting for seven additional context-specific predictors.ResultsThe standard UTAUT significantly explained teachers’ usage intention, with performance expectancy, effort expectancy, and the availability of the necessary technical infrastructure showing significant associations with intention. However, neither a significant nor meaningful increase in explained variance was observed for the extended UTAUT model.DiscussionResults suggest that the standard UTAUT model is sufficient in explaining teachers’ usage intention and that its extension by context-specific predictors provides no added value. Acceptance facilitating interventions should therefore target performance and effort expectancy as well as the availability of technical infrastructure. Thus, underlining that successful implementation of complex educational technologies should consider both, individual and structural factors.

TRENDS IN IMPLEMENTATION OF TECHNOLOGY USE IN MATHEMATICS EDUCATION ON SCOPUS DATABASE: BIBLIOMETRIC ANALYSIS

This study aims to analyze the trend of technology implementation in mathematics education in the Scopus Database using bibliometric analysis. Using predetermined keywords, researchers analyzed 251 documents using RStudio and Vosviewer. From the analysis conducted, it can be concluded that this study shows an interesting growth pattern in research on the use of technology in mathematics education over the period 1977 to 2024. This pattern changed significantly in the last 15 years, from 2009 to 2024, which is equivalent to four times the previous figure, or 66.13% of the total. The University of Pretoria dominated with the highest number of publications, at 14 articles. The source "Educational Studies in Mathematics" stands out as the best source with the highest h-index, at 5. Marien Alet Graham stands out as the author with the highest h-index, at 3. The paper Drijvers et al. (2010) stands out with the highest number of citations, at 168. There were 46 keywords divided into 6 groups, with the keywords Whatsapp, Geogebra, Science Technologies, and Collaborative Learning potentially being interesting and innovative research subjects related to Technology in Mathematics Education.

Learning about Sustainability in a Global Context of Digital Transformation in Teacher Education: Exemplary Vignettes of Experience in Webinars

Webinars are a powerful digital tool for learning about sustainability in a global context. The implementation of different technologies in teacher education, such as webinars, is becoming indispensable due to digital transformation and internationalisation processes. In this context, digital competences are described as key to quality education and a sustainable future. In teacher education, there is little evidence on how digital tools can be used for learning about sustainability. Based on the Teach4Reach project, a two-year international study on the Sustainable Development Goals in teacher education describes learning experiences in webinars by presenting selected vignettes. The question is how digitisation can support learning on sustainability in a global context of quality education. We conclude that webinars are a digital tool that supports knowledge building and collaborative learning in an international context but that their specific properties need to be recognised. The vignettes exemplify various challenges and opportunities presented by webinars, such as the fundamental role of facilitators, ease of access to the online environment, different behaviours of participants and unknowns about the learning outcomes.

Leveraging the Synergy of IPv6, Generative AI, and Web Engineering to Create a Big Data-driven Education Platform

The rapid advancement of network technology in China has significantly accelerated the implementation of information technology in higher education. Through the utilization of computer technology, multimedia technology, big data technology, artificial intelligence technology, and network communication technology, the integration of these technologies in university teaching has become widespread. This paper presents an analysis and discussion on the utilization of the latest IPv6 network transmission protocol technology to enhance the application of data collection in university education, with a specific focus on gathering information related to university faculties. By leveraging web engineering and multimedia technology as fundamental components, the network facilitates the sharing of educational resources among students, thereby enabling the reform of management approaches, fostering educational progress in China, and establishing a comprehensive big data-driven education platform specifically tailored to colleges and universities. Additionally, the incorporation of big data visualization and analysis tools allows for easy retrieval of existing university educational information, facilitates the creation of data charts, and expedites the utilization of data for its inherent value. Finally, the proposed approach employs generative AI to collect and analyze feedback from students and educators, followed by the application of web engineering techniques to continuously enhance the online education platform based on this feedback.

INNOVATIVE TECHNOLOGIES IN EDUCATION: A CASE STUDY OF IMPLEMENTATION IN KAZAKHSTAN

This study examines the implementation of innovative technologies in the education sector of Kazakhstan. The use of modern technological tools in teaching has become increasingly important in enhancing the quality of education and preparing students for the challenges of the 21st century. This research aims to explore the current status, challenges, and future prospects of integrating innovative technologies into the educational system of Kazakhstan. The study employs a qualitative approach, including interviews and surveys with educators, administrators, and policymakers involved in the implementation of technology in education. The findings reveal that while there is a growing interest in the use of innovative technologies, there are also significant challenges, including limited access to technology, inadequate training for teachers, and a lack of clear policies and guidelines. Despite these challenges, there is optimism about the potential of technology to improve teaching and learning outcomes in Kazakhstan. The study concludes with recommendations for policymakers and educators to overcome these challenges and fully realize the benefits of innovative technologies in education.

Enhancing sustainable development in education: Reality of cloud computing applications in activating e-learning at King Faisal University

After the outbreak of the COVID-19 pandemic, the world turned towards intensifying the implementation of modern educational technologies in general, especially those related to remote teaching and learning. These technologies have proven to save learners considerable time and effort, particularly in emergencies that necessitate a shift from traditional to remote education systems. They offer easy and secure methods for remote teaching and learning. One of the most significant modern technologies in this context is cloud computing, a term that refers to on-demand access to computer resources and systems over the network. Cloud computing can deliver a range of integrated computer services without being constrained by local resources, aiming to facilitate user interaction. The successful use and integration of cloud computing applications in educational institutions are key indicators of achieving outstanding educational quality. This includes attaining the highest possible levels of sustainable development competencies in education. The effectiveness of utilizing these applications is contingent upon the proper management of educational technology applications and their flexible and rapid activation from any location through the Internet. Therefore, this study aimed to assess the current utilization and deployment of cloud computing applications in activating e-learning at King Faisal University and provide insight into realizing the desired outcomes of implementing one of the most crucial e-learning technologies as a means of achieving sustainable development in education. This was accomplished by identifying the problems and challenges facing the use and deployment of this technology in educational institutions in the Kingdom, specifically at King Faisal University. Additionally, the study aimed to propose ways to enhance the utilization of certain applications utilizing this technology in e-learning within educational institutions.

Utilizing Advanced Technologies for eLearning in Clerkship

The clerkship phase in medical school is pivotal for clinical training. In response to the COVID-19 pandemic, the adoption and implementation of educational technology in medical education became inevitable, leading most medical schools to shift toward distance learning. While technologies cannot entirely replace hands-on clinical teaching, faculty members have devised effective ways to utilize technology, such as virtual patients, virtual reality, first-person video streaming, simulators, gamification, and mobile apps. This article provides a summary of the technologies employed, the challenges associated with them, and the advantages and instructional outcomes resulting from their use.

ШТУЧНИЙ ІНТЕЛЕКТ У ВИЩІЙ ОСВІТІ: МОЖЛИВОСТІ ВИКОРИСТАННЯ

The integration of artificial intelligence into the system of higher education represents a turning point in the process of learning and teaching. The development of artificial intelligence has opened the way to personalized training, automation of administrative tasks and the introduction of innovative training methods. The purpose of the study was to analyze the practical aspects of using artificial intelligence in higher education institutions of Ukraine. It was determined that artificial intelligence is an organized set of information technologies, which makes it possible to perform complex complex tasks. There are three main categories of artificial intelligence: narrow-spectrum artificial intelligence, or Artificial Narrow Intelligence, general artificial intelligence, or Artificial General Intelligence, and artificial superintelligence, or Artificial Super Intelligence. The main educational services provided by artificial intelligence in institutions of higher education are the development and conduct of lectures, seminars and practical classes; teacher counseling; creation of educational programs and electronic courses; development of tasks and simulation of their solution; conducting various educational events; evaluation of the works of education seekers. Some examples of the use of artificial intelligence, in particular chatbots, in the higher education of Ukraine are analyzed and their potential for improving the educational process and forming professional skills is emphasized. An example of the use of GPT-3.5 in the Luhansk Educational and Scientific Institute for teaching foreign languages is presented. Such applications based on artificial intelligence as Thinkster and Duolingo and the main aspects of their use by students of higher education are characterized. Recommendations are provided for the successful implementation of artificial intelligence technologies in higher education.

Implementing media educational technology in Ukrainian preschool institutions

This study investigates the implementation of media educational technology in preschool institutions in Ukraine. The increasing prevalence of media manipulation, fake information, and uncontrolled media consumption among children necessitates media education from an early age. The research involved developing and experimentally testing a model for media educational technology tailored for preschoolers aged 5-6 years. The technology encompasses a three-stage process: diagnostic-target, integrational, and analytical, incorporating various forms, methods, and means of media education activities. A key component is innovative “media educational tales” designed to engage children in learning about media literacy concepts. The effectiveness of the technology was evaluated through a confirmatory experiment conducted in multiple preschool institutions across Ukraine, involving 384 respondents. The results demonstrated a significant improvement in media literacy levels among children in the experimental groups, with 20.9% achieving a high level and 61.7% reaching a sufficient level after implementing the technology. The study highlights the feasibility and positive impact of implementing structured media educational approaches in preschool settings while also revealing the need for further training and support for preschool teachers in this domain.

Challenges and Strategies in Adopting Google Workspace for Education: Perspectives from Educational Leaders in Indonesia

Effective educational technology adoption and implementation have become crucial for educational institutions in the digital transformation era. However, this study aims to identify the challenges faced by educational leaders in adopting and implementing Google Workspace for Education in educational institutions, as well as strategies to address these challenges. A qualitative approach was employed, utilizing in-depth interviews and specially designed spreadsheets to gather perspectives and data from 70 educational foundation leaders and school principals in Indonesia. Thematic analysis was used to analyze the collected data. The findings revealed challenges such as mindset change, technological barriers, collaboration issues, and resource constraints in adopting Google Workspace for Education. The study identified six strategies to overcome these challenges, including supervising teachers' work, enhancing participation in training, fostering collaboration among teachers, monitoring and evaluating usage, preparing supportive infrastructure, and gaining support from school leaders. This research provides insights into the perceptions and strategies of educational leaders in adopting and implementing Google Workspace for Education, contributing to a deeper understanding of the digital transformation in educational institutions and its implications for educational technology development in Indonesia.

Designing a University Environment for Inclusive Digital Education – Methods and Approaches

The rapid development and implementation of digital technologies in education and the forced shift to fully distance learning due to the COVID-19 pandemic, which has exacerbated the existing problems and challenges of access to higher education for disadvantaged students, have brought to the fore the need for systemic change, aimed at building crisis-resilient university ecosystems where inclusive education and digital transformation are considered in their interconnectedness to provide appropriate infrastructures and technologies for inclusive digital learning. Designing such systems requires applying an interdisciplinary design approach with careful consideration of the needs and wants of all user groups and especially those vulnerable to exclusion. The article presents the methodology and results of a study aimed at identifying the needs, barriers and issues faced by students of low socio-economic status, which is part of a wider international initiative to develop university ecosystems for inclusive digital learning, in in which universities from six countries of the European Union participate.

Artificial Intelligence in Healthcare Education: Investigating ChatGPT's Acceptance

This study explores the acceptance and awareness of ChatGPT, an AI chatbot, among healthcare students and professionals. Data was collected from 370 participants through a questionnaire, revealing that while most participants were aware of ChatGPT and its potential in healthcare, many had not used it. Participants expressed a desire for training and identified barriers such as technical limitations, lack of personalization, and ethical concerns. Challenges associated with ChatGPT usage included concerns about replacing teachers, ethical issues, cybercrime, and increased plagiarism rates. Despite these challenges, participants recognized the potential of AI in healthcare, including augmented reality, machine learning, robotic surgery, and teaching strategies. The study emphasizes the need for continuous improvement and ethical considerations in developing AI chatbots like ChatGPT. These findings offer valuable insights for the future development and implementation of AI chatbot technologies in healthcare education.

Enterprise Implementation of Educational Technology: Exploring Employee Learning Behavior in E-Learning Environments

In the rapidly evolving landscape of information technology and with the ubiquitousness of the internet, corporations are increasingly focused on harnessing educational technology to boost their competitive prowess. A pivotal question emerges: Can they implement this technology effectively and sustainably to enhance the learning capabilities of their workforce and facilitate their accumulation of knowledge and skills? This concern remains a central focus in the corporate sphere. From educational psychology, goal orientation theory offers an explanatory framework for understanding learner (employee) behavior variations following learning interventions. This research is grounded in the e-learning environment fostered by educational technology within corporations. It explores and hypothesizes the impact of employee achievement motivations—including learning, proving, and avoiding goal orientations—on self-regulated learning (encompassing cognitive, motivational, and behavioral adjustments). Additionally, this study examines how employees’ self-regulated learning and learning satisfaction with the learning process influence learning effectiveness (learning outcomes) assessments. Our empirical survey targeted 380 employees from 26 companies participating in corporate educational technology learning (e-learning), with our research hypotheses tested through PLS structural equation modeling. The analysis indicates that employees’ learning and proving goal orientations indirectly positively affect their learning outcomes by mediating self-regulated learning and learning satisfaction. Conversely, employees’ avoidance goal orientation indirectly negatively impacts their learning outcomes by mediating their self-regulated learning and learning satisfaction. Finally, the researchers offer recommendations for management and future research directions.

The Philosophy and Foundations of Vocational Technology in Education with IT Integration

The development of Information Technology (IT) has had a significant impact on vocational education in this modern era. This article aims to explore the relationship between philosophy and the foundations of vocational technology with curriculum development, teaching methods, and evaluation in the educational context. The main focus is on the importance of understanding the philosophical underpinnings of vocational technology and how philosophy can guide the implementation of information technology in vocational education. Through this analysis, it is hoped that new ways can be found to enrich students' learning experiences and prepare them for future challenges in a workforce increasingly intertwined with technology.

Educația și conștientizarea etică a tehnologiilor IA și folosirea lor în mediul academic

The essay aims to contribute to discussions about the implementation of AI-based technologies in education, through a perspective that will stimulate the advance of ethical research and will overcome the classic “pro” or “con” controversy. We will explore here, albeit not exhaustively (given the dimensions of this paper), aspects of learning that should be integrated into the analysis of how we evaluate AI technologies and design rules of academic integrity. We will review some directions for the development of AI technologies for education, the risks and benefits presented so far in the specialized literature, and we will endorse the idea that education and “ethical awareness” are basic presuppositions for the success of any model of academic integrity. The conclusion will focus on the importance of adopting in the respective fields principles that are more relevant to the reality in which we live and that do not arbitrarily circumscribe the field, inevitably leading to the success of some underground models, opposed to integrity. Conversely, it would support those principles that foster the advancement of ethical research by integrating all aspects that affect the academic field, on the model: knowledge enables improvements and adjustments.

Distance learning technologies and their legal regulation in the Republic of Kazakhstan

This study addresses the pressing relevance of implementing distance learning technology in the Republic of Kazakhstan across various educational levels, guided by the framework of legal regulation. The study aims to investigate the benefits of using diverse distance learning technologies in modern education, improving access, motivation, and flexibility while fostering environmental awareness and societal prosperity. The chosen methodology is based on the diagnostic testing method to assess and analyze the educational needs and preferences of students. The study involved 100 participants, ranging in age from 19 to 26, from the Abai Kazakh National Pedagogical University. The study shows important signs and criteria for incorporating distance learning into legal rules in a way that works. These include factors related to the environment, motivation, cognition, analysis, and culture. This transformation of education aligns with real-life situations, adapting to changing circumstances and allowing students to select distance learning when necessary. The implementation of modern technology in distance education facilitates profound knowledge acquisition while accommodating evolving personal circumstances, ultimately fostering a conducive environment for continued high-quality education at cognitive and social levels.

Give heart cells a beat: An interactive museum exhibit that synchronizes stem cell–derived cardiomyocytes to visitors’ heartbeat

Science museums play an important role in science education, engaging the public with science concepts and building support for scientific research. Here, we describe Give Heart Cells a Beat, an interactive exhibit that lets museum visitors synchronize the beating of live stem cell-derived cardiomyocytes to their own heart rate in real time. The beat rate of cells accurately matched the beat rate of visitors and responded dynamically to changes such as exercise. Visitor evaluation revealed that engagement with the specimen prompted curiosity in heart biology and stem cells. Give Heart Cells a Beat is the product of a close collaboration between a museum and an academic research laboratory, and to our knowledge, it is the first interactive exhibit to use live human heart cells. We hope this exhibit serves as an example for the implementation of stem cell technology in informal science education and inspires future relationships between academia and public science venues.

Adopting artificial intelligence driven technology in medical education

Purpose Artificial intelligence (AI) is a growing paradigm and has made considerable changes in many fields of study, including medical education. However, more investigations are needed to successfully adopt AI in medical education. The purpose of this study was identify the determinant factors in adopting AI-driven technology in medical education. Design/methodology/approach This was a descriptive-analytical study in which 163 faculty members from Tabriz University of Medical Sciences were randomly selected by nonprobability sampling technique method. The faculty members’ intention concerning the adoption of AI was assessed by the conceptual path model of task-technology fit (TTF). Findings According to the findings, “technology characteristics,” “task characteristics” and “TTF” showed direct and significant effects on AI adoption in medical education. Moreover, the results showed that the TTF was an appropriate model to explain faculty members’ intentions for adopting AI. The valid proposed model explained 37% of the variance in faulty members’ intentions to adopt AI. Practical implications By presenting a conceptual model, the authors were able to examine faculty members’ intentions and identify the key determining factors in adopting AI in education. The model can help the authorities and policymakers facilitate the adoption of AI in medical education. The findings contribute to the design and implementation of AI-driven technology in education. Originality/value The finding of this study should be considered when successful implementation of AI in education is in progress.

Embracing the Digital Frontier: An Exploration of Readiness and Challenges in Educational Technology Implementation by Student Teachers in Lombok, Indonesia

Embracing the Digital Frontier: An Exploration of Readiness and Challenges in Educational Technology Implementation by Student Teachers in Lombok, Indonesia