Personalized Learning Experience Research Articles

The role of chat generative pre-trained transformer in facilitating decision-making and the e-learning process in higher education

Digital technology and artificial intelligence technologies have been progressing rapidly, thus giving rise to intelligent chatbots such as chat generative pre-trained transformer (ChatGPT). These chatbots make searching for information more efficient and provide higher education institutions with assistance in decision-making. The goal of this research is to explore the capabilities of ChatGPT technology and its role in enhancing the e-learning process. Moreover, it seeks to determine whether ChatGPT can provide useful suggestions to improve the decision-making process in higher education. ChatGPT is effective in an e-learning environment for the following reasons: it facilitates personalized learning experiences, offers real-time support, and enhances decision-making by leveraging natural language processing capabilities. As suggested by the findings, ChatGPT has significant potential in higher education, as demonstrated by its ability to improve interactive participation, educational strategies, and educational outcomes. This study highlights the importance of incorporating ChatGPT into higher education settings to improve e-learning and decision-making.

The potential of ChatGPT technology in education: advantages, obstacles and future growth

<span lang="EN-US">Information and communication technology is becoming increasingly prevalent in our daily lives, with interactive communication modes such as social networks and instant messaging reaching unprecedented popularity. These tools are now widely utilised in various academic and research institutions by both faculty and students for communication and distance learning purposes. <a name="_Hlk155360394"></a>Chat generative pre-trained transformer (ChatGPT) and artificial intelligence tools hold the potential to revolutionise the way that students obtain knowledge and support. ChatGPT is a cutting-edge language technology capable of constructing intelligent, coherent texts, making it a valuable tool for writing and communication across different fields, including education. However, universities that incorporate ChatGPT as a teaching tool must address concerns regarding plagiarism and academic integrity. This investigation focuses on the advantages and obstacles of applying ChatGPT technology in the education field and its potential for future development. Findings reveal that through careful consideration of the ethical dilemmas and issues, academic institutions can leverage the maximum potential of ChatGPT to provide a more accessible, successful, and personalised learning experience for learners. The development prospects for ChatGPT appear promising, given its potential to grow and enhance its capabilities through on-going research and innovation.</span>

ARcademy: Augmented Reality Adventures in Education

Abstract: Augmented reality (AR) technology holds enormous promise for transforming education by enabling interactive and immersive learning experiences. This research article provides an AR application built to highlight the different possibilities of AR in educational contexts. The program incorporates different interactive aspects, including a virtual dragon, as a showcase of the adaptability and potential of AR for boosting learning experiences. Users can connect with the virtual dragon and explore its interactions within the real-world setting, showing the seamless integration of digital material into physical spaces. Through a user-centered design approach, our team has built an easy and engaging AR experience geared at promoting curiosity, creativity, and critical thinking skills among learners. By exploiting the unique affordances of AR technology, educators can develop dynamic learning environments that cater to varied learning styles and interests. This study assesses the effectiveness of the AR application in encouraging active learning and boosting student engagement across diverse educational environments. It also investigates practical aspects such as usability, accessibility, and scalability to influence future innovations and implementations of AR-based teaching systems. By giving a real example of AR integration in education, our research contributes to the continuing discourse on the transformative potential of AR technology. It emphasizes the necessity of developing creative techniques to harness AR for interactive and personalized learning experiences in the digital age.

Tech Quest Language Learning

Tech Quest Language Learning is an innovative web based platform designed to facilitate language learning through interactive quizzes tailored for engineering students and professionals. The platform offers a diverse range of quizzes covering various engineering subjects, providing users with an engaging and effective way to test their knowledge and skills. Through a user-friendly interface, participants can navigate seamlessly between quizzes, receive instant feedback on their performance, and track their scores over time. Additionally, the platform incorporates user authentication mechanisms, ensuring secure access to personalized learning experiences. With its emphasis on interactivity, accessibility, and user engagement, "Tech Quest Language Learning" aims to enhance language proficiency and academic success in the engineering domain.

Leadership development through self-upskilling: role of generative artificial intelligence

Purpose This viewpoint paper investigates the changing role of leadership in a dynamic, technologically driven society, and the vital requirement for leaders to engage in continuous self-upskilling to remain effective. It emphasizes the importance of generative artificial intelligence (GAI) in transforming personalized learning experiences for leaders and allowing them to adapt to an ever-changing world. Design/methodology/approach A review of current research papers, articles, and case studies is conducted to evaluate the integration of generative AI in leadership self-upskilling. It examines the possibilities and possible benefits of generative AI, and the issues it offers regarding data privacy, algorithmic bias, and learning requirements. Findings The findings highlight the transformational potential of GAI in self-upskilling for leaders. It demonstrates how GAI can build personalized learning materials, provide real-time feedback, and adapt content to individual learning styles. It identifies notable executives who have effectively embraced GAI for their self-upskilling journeys, resulting in increased productivity and competitiveness. Practical implications The paper investigates the application of GAI for self-improvement, addressing challenges such as data privacy and algorithmic bias while suggesting responsible AI use tactics. Originality/value This study investigates the relationship between leadership and AI, emphasizing the importance of leaders in self-improvement as well as the possibility of AI-powered self-upskilling to democratize leadership development while also promoting ethical use.

Research on the Disruptive Transformation and Future Development of American Teaching Models in the Context of Intelligent Transformation

The educational landscape is undergoing a transformative shift with the integration of Artificial Intelligence (AI), especially evident in the United States where the "AI tutor + teacher" collaborative teaching model is gaining traction. This model synergizes the computational prowess of AI tutors with the irreplaceable emotional intelligence and creativity of human teachers, aiming to optimize educational outcomes and foster a more personalized learning experience. This essay delves into the intricacies of this innovative teaching model, elucidating its structure, characteristics, and potential future developments through a blend of theoretical analysis and practical case studies, including an in-depth examination of the Bettys Brain platform. The discussion extends to the foundational elements of Intelligent Tutoring Systems and the emerging field of human-computer collaborative teaching, highlighting the multifaceted implications of AI in education. The research methods encompass a comprehensive review of existing literature, case study analysis, and theoretical exploration. The essay concludes by underscoring the transformative potential of AI in education, while also advocating for a mindful approach to its integration, ensuring alignment with educational equity and ethical standards. The findings and discussions presented in this essay contribute to the broader discourse on the future of education, emphasizing the need for a balanced and thoughtful integration of AI to enhance the teaching-learning paradigm.

Exploration of the Blended Learning Model in English Major Education at Private Applied Universities

The integration of the blended learning model in the curriculum of English majors at private applied universities is a strategic response to the evolving demands of higher education. This study explores the potential of blended learning to augment learning outcomes and the overall educational experience. By combining traditional classroom instruction with online learning tools, the model seeks to offer a more flexible and resource-rich environment that can foster student engagement and initiative, thereby promoting a well-rounded development of English language skills and cultural competencies. The research delves into the practical implementation of the blended learning model, examining how it can be tailored to meet the specific needs of English majors. It discusses the integration of technology into the curriculum, the importance of faculty training, and the creation of an interactive and personalized learning experience. The study also emphasizes the need for continuous assessment and feedback mechanisms to ensure the model’s effectiveness. Furthermore, the research highlights the importance of cultivating English talents with practical capabilities, innovative abilities, and an international perspective. It underscores the role of blended learning in preparing students for the global job market by providing them with the necessary language proficiency and cultural understanding.

LIVED EXPERIENCES OF TEACHERS USING ADAPTIVE STRATEGIES IN TEACHING ASD LEARNERS: A PHENOMENOLOGICAL STUDY

This qualitative study delves into how teachers apply adaptive strategies to instruct learners with Autism Spectrum Disorder (ASD) in Special Education (SPED) settings. Employing a phenomenological approach, the research utilized individual interviews and focus group discussions to explore various challenges, coping mechanisms, and insights related to the effectiveness and appropriateness of these strategies. Ten participants from SPED schools in Davao City were randomly selected to ensure diverse perspectives, with five engaging in individual interviews and the remaining five participating in focus group discussions. The initial findings reveal significant themes emphasizing the importance of adaptive strategies in teaching ASD learners. Key concepts include the utilization of visual aids, structured environments, and positive reinforcement, aligning with previous research indicating their efficacy in improving understanding and communication among ASD learners. Challenges in implementation, such as the variability in ASD presentations, underscore the necessity for personalized approaches. Furthermore, positive outcomes like personalized learning experiences and increased engagement highlight the beneficial impact of adaptive strategies. Subsequent findings shed light on the coping mechanisms employed by teachers to navigate challenges associated with implementing adaptive strategies. Individualized Education Plans (IEPs), support from colleagues, and open communication with families emerged as crucial coping mechanisms. Additionally, strategies for managing emotional and cognitive demands, ongoing professional development, and adapting instructional practices were emphasized, contributing to a deeper understanding of effective support mechanisms for ASD learners. Further insights into the effectiveness and appropriateness of adaptive strategies highlight themes such as individualized approaches, alignment with specific needs, and enhancement through teacher training and technology, emphasizing the importance of personalized, flexible, and collaborative approaches. These findings provide valuable guidance for educators and policymakers, drawing on relevant literature and research. In conclusion, the study underscores the significance of adaptive strategies in supporting ASD learners within SPED classrooms, advocating for personalized, structured, and inclusive educational approaches. KEYWORDS: ASD learners, adaptive strategies, special education, lived experiences, qualitative inquiry, coping mechanisms, teacher training, individualized approach.

Bridging the Digital Divide: Exploring the Role of Artificial Intelligence and Automation in Enhancing Connectivity in Developing Nations

This research paper explores the potential of artificial intelligence (AI) and automation to reduce the digital divide in developing countries. The study investigates how these technologies can enhance accessibility and efficiency in critical sectors such as education, healthcare, agriculture, and economic development, thereby contributing to social and economic progress. Key findings indicate that AI and automation can significantly improve educational outcomes by providing personalized learning experiences, enhancing healthcare delivery through better diagnostics and patient care, increasing agricultural productivity with precision farming, and stimulating economic growth by creating new job opportunities and improving market access. However, deploying these technologies faces substantial challenges, including inadequate infrastructure, significant skills gaps, cultural resistance, and policy constraints. The research adopts a mixed-methods approach, combining quantitative data analysis with qualitative case studies to comprehensively understand the impacts and challenges associated with implementing AI and automation in less developed regions. The scope of the study spans several developing countries, offering insights relevant to policymakers, NGOs, and the private sector engaged in technology deployment for development. The paper underscores the necessity for a collaborative approach to overcome the identified barriers and suggests strategic recommendations for stakeholders to leverage AI and automation as practical tools for closing the digital divide. This study contributes to the broader discourse on technology’s role in global development, highlighting both the transformative potential of AI and automation and the critical need for inclusive and context-sensitive technology governance.

Exploring the Role of Artificial Intelligence in Enhancing Equity and Inclusion in Education

The purpose of this study was to assess the impact of Artificial Intelligence (AI) on education. Premised on a narrative and framework for assessing AI identified from a preliminary analysis, the scope of the study was limited to the application and effects of AI in administration, instruction, and learning. Artificial Intelligence (AI) has emerged as a transformative force in education, promising to revolutionize traditional teaching and learning methods. One critical aspect of this transformation is AI's potential to enhance equity and inclusion in educational settings. This paper explores the current state, challenges, and opportunities regarding AI's role in promoting equity and inclusion in education. The historical evolution of AI in education is examined, tracing its roots from early intelligent tutoring systems to contemporary adaptive learning platforms and virtual tutoring systems. Advances in machine learning, natural language processing, and data analytics have expanded AI's capabilities, enabling personalized learning experiences tailored to individual student needs. However, the widespread implementation of AI in education faces several challenges, including concerns about data privacy, algorithmic bias, and the digital divide. It is crucial to address these challenges through responsible and ethical AI deployment, ensuring that AI interventions prioritize equity, inclusivity, and transparency. Further research is needed to explore the effectiveness of AI interventions in different educational contexts and to develop strategies for mitigating potential risks and maximizing benefits. By leveraging AI technologies thoughtfully and ethically, educators and policymakers can work towards building a more equitable and inclusive education system that empowers all learners to reach their full potential.

Enhancing ESL Education with AI: Innovations in Teaching Methods and Au-thentic Materials

This article explores the integration of Artificial Intelligence (AI) in English as a Sec-ond Language (ESL) education, focusing on innovative teaching methods and authen-tic materials. AI-powered gamification is discussed, highlighting the use of AI tools like ChatGPT to enhance the gamification of key terms and concepts in ESL educa-tion. The interactive and enjoyable nature of gamified learning, combined with AI-driven content curation, deepens student understanding, critical thinking skills, and retention. By personalizing the learning experience, AI tools cater to individual stu-dent needs, allowing for flexibility in difficulty and fostering a love for the subject. Reflection and self-assessment play a crucial role in solidifying knowledge and pro-moting deeper learning. The article also discusses the importance of authentic materials in ESL education, emphasizing the use of AI-driven content curation to select and organize relevant and meaningful language content. AI-powered tools can analyze vast amounts of data, un-derstand patterns, and make accurate predictions, enhancing the user experience and delivering content that is most relevant and valuable to each individual student. The integration of AI in ESL education offers numerous benefits, including increased engagement, improved retention and application of key terms and concepts, personal-ized learning experiences, and enhanced critical thinking skills. By embracing AI-powered gamification and content curation, educators can create dynamic, interactive, and engaging learning experiences that foster a love for language learning and pro-mote deeper understanding.

An Intelligent Framework for English Teaching through Deep Learning and Reinforcement Learning with Interactive Mobile Technology

As globalization deepens, the significance of English teaching in the educational landscape has become more prominent. Traditional teaching methods are increasingly inadequate for providing personalized and efficient learning experiences. This gap is being addressed by the rapid advancements in artificial intelligence, especially through deep and reinforcement learning. These technologies provide a framework for intelligent English teaching systems by mimicking human learning processes to customize personalized learning experiences, optimize learning paths, and enhance efficiency. However, challenges remain in fine-tuning teaching strategies to meet the varying needs of individual learners and dynamically adapting to their evolving interests in the short term. This study introduces a novel framework for an intelligent English teaching system that leverages the potential of interactive mobile technology alongside a deep Q-network (DQN) algorithm to dynamically adjust English teaching strategies. This approach enables real-time personalization of teaching strategies to create optimal learning paths for individual learners. Moreover, it incorporates a model based on neural collaborative filtering to capture and adapt to learners’ short-term dynamic interests, thereby recommending relevant learning content in real-time. This framework enhances learning efficiency and personalizes content delivery, demonstrating considerable theoretical and practical value for the future of educational technology.

English Teachers' Perceptions of Technological Pedagogical and Content Knowledge (TPACK) and Its Application in English Language Teaching: Post-COVID-19

This study explores the evolving perceptions of English teachers regarding the integration of Technological Pedagogical Content Knowledge (TPACK) and its application in English Language Teaching (ELT) in the post-Covid-19 educational landscape. Insights drawn from educators' experiences in innovatively incorporating TPACK to increase student engagement, facilitate personalized learning experiences, and improve communication. This study highlights the influence of TPACK on pedagogical strategies in response to the dynamic post-pandemic educational landscape.

Optimizing Educational Efficiency: Exploring the Relationship Between Bulk and Clinical Rotation Group Size in Medical Education Students’ Perspective in Busitema University Uganda

Clinical rotation group size plays a pivotal role in shaping the quality, efficiency, and overall student experience in medical education. Despite its significance, determining the ideal group size remains a daunting task. This research endeavors to delve into the correlation between group size and what is termed as "bulk," representing the comprehensive efficiency and productivity of clinical rotation groups. By examining this relationship, the study aims to offer valuable insights into potential strategies for optimizing group size, thereby enhancing the educational experience for medical students. The study employed a mixed-methods approach, combining quantitative analysis of productivity metrics with qualitative assessments of student and faculty perceptions. Surveys, interviews, and observational data were utilized to capture the nuances of group dynamics, learning outcomes, and resource utilization across different group sizes. Statistical techniques such as regression analysis and ANOVA were employed to identify significant correlations and differences. Data were collected from medical students undergoing clinical rotations across multiple specialties. Group sizes varied from small (2-3) and large (4 and more). The study measured bulk using indicators such as patient encounters per student, learning outcomes, and faculty-student interaction. Results indicated a nonlinear relationship between bulk and group size. Smaller groups showed higher individual student engagement, personalized learning experiences, and increased faculty-student interaction. Conversely, larger groups exhibited greater overall productivity due to economies of scale and enhanced peer learning. However, beyond a certain threshold, further increases in group size led to diminishing returns, compromising individualized attention and educational quality. The findings underscore the importance of balancing group size to optimize educational outcomes in clinical rotations. While larger groups may offer efficiency gains, they must be carefully managed to mitigate potential drawbacks such as reduced individualized attention and faculty-student interaction. Smaller groups foster a more personalized learning environment but may lack the resource utilization efficiency of larger cohorts. Institutions should consider contextual factors such as specialty, learning objectives, and available resources when determining optimal group sizes. In conclusion, the relationship between bulk and clinical rotation group size is complex, with both benefits and limitations associated with different group sizes. Institutions should strive to strike a balance between efficiency and educational quality by tailoring group sizes to specific contexts and objectives. Further research is needed to explore additional factors influencing bulk and to develop targeted interventions for optimizing clinical rotation experiences.

StudyNotion - An Edtech Website

In an era defined by rapid technological advancement, education stands as a crucial arena ripe for transformation. Our Edtech website emerges as a beacon of innovation, aiming to revolutionize traditional learning paradigms through the seamless integration of cutting-edge technology. With a multifaceted approach, our platform offers a comprehensive suite of tools and resources tailored to meet the diverse needs of students, educators, and institutions alike. At the heart of our platform lies a commitment to accessibility and inclusivity, ensuring that learning opportunities transcend geographical boundaries and socioeconomic barriers. Through interactive modules, engaging content, and personalized learning pathways, we empower learners to cultivate their intellectual curiosity and unlock their full potential. For educators, our platform serves as a dynamic hub for professional development, fostering collaboration, and knowledge sharing within a vibrant community of practice. From virtual classrooms to collaborative project management tools, we provide the scaffolding necessary to facilitate effective teaching in the digital age.Furthermore, our platform harnesses the power of data analytics and artificial intelligence to deliver actionable insights and personalized recommendations, facilitating data-driven decision-making and enhancing learning outcomes. In essence, our Edtech website represents more than just a digital learning platform; it embodies a vision for the future of education—one where technology serves as a catalyst for empowerment, innovation, and lifelong learning. Join us on this transformative journey as we redefine the possibilities of education in the 21st century and beyond. This abstract succinctly captures the essence of the Edtech website, highlighting its goals, features, and the transformative potential it holds for education.The abstract for the Edtech Website project encapsulates the endeavor to create an innovative educational platform tailored for diverse learners. This project aims to develop a user-friendly website offering interactive learning resources, personalized study tools, and collaborative features. Key objectives include providing seamless navigation, curating diverse educational content, implementing adaptive learning algorithms, and fostering real-time collaboration among students and educators. Emphasizing scalability, compatibility, and security, the website seeks to empower learners globally with accessible, engaging, and personalized learning experiences, ultimately fostering academic excellence and lifelong learning opportunities.

Adaptive support for self‐regulated learning in digital learning environments

AbstractA core focus of self‐regulated learning (SRL) research lies in uncovering methods to empower learners within digital learning environments. As digital technologies continue to evolve during the current hype of artificial intelligence (AI) in education, the theoretical, empirical and methodological nuances to support SRL are emerging and offering new ways for adaptive support and guidance for learners. Such affordances offer a unique opportunity for personalised learning experiences, including adaptive interventions. Exploring the application of adaptivity to enhance SRL is an important and emerging area of research that requires further attention. This editorial introduces the contributions of seven papers for the special section on adaptive support for SRL within digital learning environments. These papers explore various themes related to enhancing SRL strategies through technological interventions, offering valuable insights and paving the way for future advancements in this dynamic area.

The Prospects of Generative AI in Higher Education

Artificial intelligence (AI) has brought tremendous prospects and breakthroughs to a number of areas, including education. With an emphasis on the use of chatbots, analytics, generative AI, and personalized learning experiences, this research study offers a thorough analysis of the effects of AI on education. In order to shed light on the ethical implications, cultural considerations, language competence issues, and privacy concerns related to the use of AI in education, it explores the related limitations, obstacles, and concerns. Artificial Intelligence (AI) has the potential to completely transform higher education by promoting efficiency, creativity, customization, and engagement. Higher education could undergo a significant transition with the use of Generative Artificial Intelligence (GAI) tools as ChatGPT, Google BARD, and Bing Chat. But this integration also presents problems for avoiding plagiarism and upholding academic integrity. Within this In this work, we explore and evaluate useful strategies for effectively utilizing GAI's potential while also guaranteeing assignment integrity. We present the PAIGE (Promoting Assignment Integrity using Generative AI in Education) conceptual framework as a viable means of addressing these issues. This concept places a focus on the moral. The inclusion of GAI, encourages student engagement, and fosters chances for collaborative learning. Institutions of higher learning can efficiently use the promise of GAI while maintaining assignment integrity by utilizing the PAIGE framework. A responsible and prosperous future in education powered by generative AI is made possible by this strategy. The research report also explores the roles that parents, legislators, and educators play in minimizing the risks and optimizing the advantages of implementing AI in the classroom. Challenges with linguistic ability, privacy, and other factors related to using AI in education. Key Words: Generative AI, analytics, learning experiences, cognitive achievement, AI in the classroom, customized feedback

Advancing Educational accessibility and experiences: A sophisticated Chatbot integration approach

The integration of chatbots into the educational sector has ushered in a new era of learning and administrative support. This review paper explores the dynamic landscape of chatbots within educational institutes, focusing on their evolution and the emergence of innovative trends. From their early days as basic information providers to their current roles as personalized learning companions, chatbots have undergone significant transformations. The study identifies key milestones in the evolution of chatbots in education, highlighting their transition from rule-based systems to intelligent learning assistants. Moreover, this review delves into the latest trends shaping the chatbot ecosystem in education. It underscores the growing emphasis on Al-powered personalization, multimodal interfaces, and integration with Learning Management Systems (LMS) to streamline administrative tasks. Chatbots are no longer confined to text-based interactions; they now support voice and video, making education more accessible and inclusive. Additionally, they are contributing to mental health support and counseling services, addressing the well-being of students. The paper will argue that chatbots have the potential to revolutionize education by providing students with personalized learning experiences, supporting students with special needs, and promoting student engagement. However, it is important to address the ethical implications of using chatbots in education, such as privacy and bias. The paper will be of interest to educators, researchers, and policymakers who are interested in learning more about the potential of chatbots to transform education. Keywords— Deep Learning, Machine learning, NLP, Voice Assistant, Linux, Artificial Intelligence, Speech Recognition, LLMs.

Research on VR e-learning based on load balancing algorithm in intelligent music education system

This paper aims to explore the application of virtual reality (VR) electronic learning based on load balancing algorithm in the simulation of intelligent music education system. This paper designs and implements an intelligent music education system simulation, which uses load balancing algorithm and virtual reality (VR) technology to provide the convenience of e-learning and personalized learning experience. The load balancing algorithm allocates and manages multiple tasks or requests in the system to ensure the balanced utilization of resources and the efficient operation of the system. In the intelligent music education system, the load balancing algorithm can be used to manage user requests, allocate appropriate resources and services, and ensure that the system can respond quickly and provide a stable learning environment. This paper introduces the architecture and implementation details of the system, including the design and optimization of load balancing algorithm and the application of VR technology. The results show that we point out that VR e-learning based on load balancing algorithm has potential in the simulation of intelligent music education system, which can provide high-quality personalized music learning experience and provide useful enlightenment for innovation in the field of music education.

Intelligent e-learning design for art courses based on adaptive learning algorithms and artificial intelligence

With the development of digital technology and the popularity of the Internet, e-learning has become an increasingly popular learning method. However, current e-learning systems often lack personalization and intelligence, and cannot meet the different learning needs of students. This paper designed an intelligent e-learning system using adaptive learning algorithm and artificial intelligence technology. The system aims to provide a personalized learning experience to help students efficiently master the knowledge of art courses. We introduce in detail the design and implementation of the intelligent e-learning system, which uses the adaptive learning algorithm to continuously adjust the learning content and learning methods by analyzing the students’ learning behaviors and characteristics. The system provide intelligent tutoring and evaluation functions to help students with autonomous learning and feedback. By comparing the experiment with the traditional e-learning system, we find that the intelligent e-learning system has significant advantages in improving the learning effect and learning motivation. After using the intelligent e-learning system, students’ knowledge mastery and learning interest have been significantly improved.