As time goes on and the number of people who use information and communication technology (ICT) grows, emerging technologies are receiving a lot of attention from academics, researchers, and users. Emerging technologies are changing more quickly than ever, and it is important to start building skills early in education by using the right examples to teach and learn about digital citizenship. New pedagogies support individual teaching and learning methodologies for knowledge acquisition and self-directed learning. Hundreds of digital education tools have been developed to increase student autonomy, enhance academic process management, promote collaboration, and improve communication between teachers and students. This article examines the current state of emerging technologies from a variety of educational viewpoints, highlights a few of them, and discusses both their established and potential educational benefits. Additionally, it offers in-depth debates on recent developments and future challenges from a wide range of perspectives. The analysis focuses on peer-reviewed research articles published in well-renowned publications databases over the last 8 years, drawing upon a bibliometric analysis using VOSviewer. The results of this study are also anticipated to serve as a substantial impetus for other universities and colleges worldwide to utilize innovatively and revolutionized technology for better academic performance.

The effect of technology has caused many institutions to intend to change their approach to teaching and learning, resulting in the current model of teaching and learning being an active collaborative and self-directed one. The connection between education and technology has received attention as part of educational policy and practice. Debatable topics like how to use technology in the classroom have therefore punctuated complaints about declining educational standards, unemployed learners, duplicate curricula, and archaic institutional structure. In the framework of information and communication technologies and societal growth, the Internet of Things (IoT) is asserting its vital position. Institutions may improve learning outcomes with the use of the Internet of Things by offering enhanced learning experiences, increasing operational effectiveness, and collecting real-time, actionable insight into student performance. The current state of the Internet of Educational Things (IoET) is examined from several educational perspectives in this article; a few of them are highlighted, and both of their established and potential educational benefits are discussed. Additionally, it provides in-depth discussions on current issues and problems for the IoET from a variety of approaches. The investigation performs a bibliometric analysis with VOSviewer to focus on peer-reviewed research articles published in well-known publications databases over the past eight (8) years. The findings of this study should also act as a strong incentive for universities and colleges around the world to use IoT-based teaching and learning technology for improved academic achievement.

Without the constraints of time and place, e-learning can offer a strong learning environment. The notion of e-learning has taken on a new sense with the advent and popularization of mobile devices and ubiquitous computing, enabling students to have access to several diverse opportunities for communicating with e-learning programs. Around the same time, it has prompted the course’s planners to select the most suitable technology from among the various innovations required for the storing and dissemination of information representation. As a Learning Management System (LMS), the Blackboard system now has a recognized role in the knowledge management of the education system. Blackboard offers effective and easy-to-use instructional teaching, correspondence, and assessment systems. Blackboard Ally works to create more open content for interactive classes and helps institutions create a more balanced experience of teaching and learning. Blackboard Ally is a unique application that easily blends with the Virtual Learning Environment (VLE) and runs directly within the workflows currently used by administrators, instructors, and students. This analysis is intended to explore the successful utilization and assessment of Blackboard Ally among academics in the Jazan University, Kingdom of Saudi Arabia. The key purpose of this study is to examine how administrators, faculty members, and students use Ally for Blackboard LMS’s functionality across online classes to analyze both the learning process and the success of the individual. A critical review of the literature, utilization, and examination of Blackboard Ally shows a good range of scholarly opinions, research, hypotheses, models, and experiences about the simulated learning environment. According to our knowledge and literature review, this is the first research article to evaluate the implementation and utilization of the Ally tool by Blackboard LMS.

Knowledge Management (KM) is widely discussed by researcher and attracts many enterprisers to extract, dispense and use information in a systematic way under Knowledge Management System (KMS). New technology adoption within the knowledge management system is one of the core issue, identified by researcher and underlined as future research agenda. Cloud computing becomes the most adoptable choice for enterprisers to reduce infrastructure and maintenance cost by shifting business on the cloud. Higher Education Institutions (HEIs) are more enthusiastic about knowledge management due to its primary goal of knowledge creation and sharing. Cloud based knowledge management attract higher education institutions by changing the educational method and objectives due to innovative trends in technology. This exploratory research based on literature review for cloud-based knowledge management, targeting higher education institutions. This study highlights the benefits and challenges associated with cloud-based knowledge management system and its impact on knowledge.

As the trend in the current generation with the use of mobile devices is rapidly increasing, online video streaming has risen to the top in the entertainment industry. These platforms have experienced radical expansion due to the incorporation of Big Data Analytics and Artificial Intelligence which are critical in improving the user interface, improving its functioning, and customization of recommended content. This paper seeks to examine how Big Data Analytics makes it possible to obtain large amounts of data about users and how they view, what they like, or how they behave. While customers benefit from this data by receiving more suitable material, getting better recommendations, and allowing for more efficient content delivery, AI utilizes it. As a result, the study also points to the importance and relevance of such technologies to promote business development, and user interaction and maintain competitiveness in the online video streaming market with examples of their effective application. This work presents a comprehensive investigation of the combined role of Big Data and AI and presents the necessary findings to determine their efficacy as success factors of existing and future video streaming services.

Social media platforms have become a cornerstone of modern communication, and their impact on digital forensics has grown significantly. These platforms generate immense volumes of data that are invaluable for reconstructing events, identifying suspects, and corroborating evidence in criminal and civil investigations. However, forensic analysts face challenges, including privacy constraints, data integrity issues, and processing overwhelming volumes of information. This research evaluates the effectiveness of existing forensic methodologies and proposes artificial intelligence (AI) and machine learning (ML)–driven solutions to overcome these challenges. Through detailed empirical studies, including cyberbullying, fraud detection, and misinformation campaigns, the study demonstrates the effectiveness of advanced techniques such as text mining, network analysis, and metadata evaluation. These findings underscore the importance of integrating scalable technologies with ethical and legal frameworks to ensure the admissibility of social media evidence in courts of law.