Book review: Advances in Technological Innovations in Higher Education: Theory and Practices

The book, Advances in Technological Innovations in Higher Education: Theory and Practices, is edited by Garg et al. (2024) which positions itself as a thorough treatise on the emerging scenario of higher education being shaped by modern technology. The work offers a multi-faceted interpretation of how present-day technological innovations are primarily transmuting pedagogical strategies amidst the broader educational ecosystem, predominantly as a consequence to evolving global challenges such as the COVID-19 pandemic. By evaluating this text, the reader can have a robust comprehension of its merits and limitations.This piece of writing is a latest addition to the discipline of higher education, chiefly in its theoretical encompassing of educational ecosystems being sustained by the new technological innovations. It is differentiated from the former research by rehumanizing education by taking into account the digital age; an approach that juxtaposes human interaction alongside the surging tide of automation, artificial intelligence and digital platforms. Though previous scholarship has treated technology on the view of supplementary tool, this book advocates a more transfigured role of technology by integrating it into the basic fabric of educational systems.The tome has 13 chapters with Chapter 1 entitled as Rehumanizing education in the age of technology by Subhajit Ghosh. It focuses on improving higher education by including technology along with teaching, research and community engagement. Chapter 2 named Transitioning pedagogies in evolving India: Critical analysis of skills, knowledge, and wisdom with respect to implementation of NEP 2023 by Neerja Aswale, Niranjan Kulkarni, Rashmil Singh, and Archana Singh throws light on paradigm shift in pedagogies and education system though eras using qualitative strategy and challenges during Silk knowledge, Wisdom and National Education Policy 2023. Chapter 3 on Content and usability of MOOC platforms for e-learning: An evaluation in higher education by Adarsh Garg, P Pradeep Kumar, Ravinder Rena highlights blended learning which integrates various interactive and critical skills. Chapter 4 Machine learning in medical imaging: A comprehensive study by Debanjana Ghosh and Srilekha Mukherjee emphasize upon the Machine Learning based on automated models for higher education particularly medicine and better, faster and acceptable data. Chapter 5 Platform with anonymity for students to foster in-class participation by Abhishek Deupa and Ruqaiya Khanam proposes platforms for student-centered learning inclusive of participation, feedback, and anonymity. Chapter 6 on Speech emotion analyzer using deep learning is written by Naazneen Ahmed, Ritika Chamaria, Diptarka Paul, Subham Sarangi, Ishika Agarwal, Yamini Sharma, and Srilekha Mukherjee. It stresses upon using machine learning model to detect human emotions for better analysis. Chapter 7 titled as, Technology-enhanced personalized learning in higher education by Ravi Kant Verma, Satyendra Gupta, and Svitlana Illinich brings forth personalized learning such as Learning Record Store to connect prior knowledge, skills and experiences with new information. Chapter 8 on Environment for personalized learning, by Jagjit Singh Dhatterwal, Kuldeep Singh Kaswan, and Sunil Kumar Bharti, depicts conditions for personalized learning for science students along with material use, practices and devices. Chapter 9 focuses on AI in personalized learning (by Kuldeep Singh Kaswan, Jagjit Singh Dhatterwal and Rudra Pratap Ojha) to explore use of AI and related tools and techniques for personalized learning within an ethical, responsible and equitable framework. Chapter 10: Transformative innovation in education, by Sapan Adhikari, presents Educational version from 1.0 to 5.0 reflecting evolving technologies. Chapter 11 on eSCOOL: A virtual learning platform by Ruqaiya Khanam, Shraiyash Pandey, Shrishti Choudhary, and Abhik Kumar De strives to enhance the fruits of online classes and mitigate associated loopeholes. Chapter 12 is about Post pandemic technology assisted teaching and learning: A perspective on self-directed learning which is written by Shreya Virani and Sarika Sharma propose a conceptual model to explain self-directed learning. Chapter 13 is Education 5.0: An overview by B. V. Babu highlights the role of quality assurance in higher education and its significant aspects in context of post-Industry 4.0, accreditation bodies and world rankings. Fundamentally, the chapters on AI present innovative empirical applications to extend the boundaries of existing scholarship in the field of educational technology.Structurally, all the chapters are well-organized and devoted to some prime issue under the overarching theme. The topics are logically cohesive commencing with general discussions on the potential benefits and risks of technological dominance in higher education and then delve down into the specialized technologies and case studies pertaining to MOOCs and AI. Nevertheless, the flow in the book occasionally lacks coherence owing to the sundry prose styles of the contributors. This results in a slight disjunction between theoretical assertions and empirical data, though richness of quality. However, the editorial oversight possesses high standard which ensures every topic remains accessible despite the complexities in content.Further, the empirical nature of work as portrayed in AI’s role draws upon new data sets which lends fresh insights into personalized learning analytics to foster effective and improved educational outcomes. Additionally, the discussion on Massive Open Online Courses (MOOCs) presents an exhaustive breakdown of contemporary MOOC platforms’ application and effectiveness in higher education. The key themes involve the tension between human agency and technological interventions, the integration and sustainability of AI in pedagogical settings to ensure educational innovation.Scientific rigor permeates as the content is grounded in qualitative or quantitative research. The examination on the shift in pedagogical strategies (Chapter 12) during post-pandemic scenarios is exceptionally commendable for using methodological robustness. Nonetheless, work on AI, self-directed/deep and personalized learning models could be enriched from an intense theoretical framework to strengthen empirical findings. Yet, the credibility is maintained drawing from authentic data, authoritative sources and adherence to quality standards.The text strikes a delicate equilibrium between readability and scholarly precision where some chapters densely dealing with machine learning and medical imaging (Chapter 4) through technical jargon while others are more approachable such as rehumanizing education (Chapter 1). The dynamic perspective presented on education’s post-pandemic future highlighting self-directed learning expresses that the text is in tune with modern educational debates. Though, the appeal could be more limited for general audience due to its sporadic reliance on specialized lingo.The book’s scope encompasses the implications of technological innovations across the numerous sectors and nations whose international outlook is fortified by authors belonging to diverse educational contexts, i.e. from the USA, Europe and India to Romania. For instance, the dealing of global educational challenges, in context of policy reforms (India’s NEP 2023) explains the role that technology plays in versatile settings. The book, though, is perhaps less focused on integrating non-Western chiefly non-technologically advanced perspectives into the discussion indicating a narrower geographical jurisdiction than it could cater.The significant contribution relates to the comparative investigation of educational systems through case studies to illustrate the divergent trails different states have adopted to embrace the educational technology. The text offers critical insights into public policymaking and its intersection with technology suggesting a timely exploration of the evolving phenomena and meeting the demands of fast-paced educational technologies.The tome primarily targets policymakers/practitioners and academic researchers as indicated in deep engagement with empiricism coupled with theoreticism who take interest in the technological revolution of education. From general readers to affectees of pandemic era, its overall technical outreach implies its suitability for specialists and professionals in the field.Largely, the scholarship is of high quality that reflect expertise and significant knowledge which increases engagement with critical theory. The strength of the content lies in its holistic and interdisciplinary viewpoint seamlessly blending pedagogy, technology, and policy in an array of topics, i.e. learning management systems, AI, digital platforms and the potential of blockchain. Its weakness reflects in unevenness of the chapters ranging from theoretically and empirically rigorous to superficial or speculative in their treatment of subject matter. Though, the book excels in offering a panoramic landscape which extolls the virtues of AI etc., it does not amply tackle the ethical issues like decision-making algorithmic biases, data privacy/security, students’ privacy and impending educational inequalities, which are not adequately explored in depth, scattered.One area requiring attention is the rapid emergence of AI technologies especially in educational environment. Few sections can be updated to reflect advancements in AI-driven applications in educational platforms, e.g. MOOCs and adaptive/personalized/virtual learning models and discourse. The pandemic induced exponential development in online learning including hybrid models (synchronous and asynchronous content) lack discussions thus needing analyses. Another area is neuro-educational research, i.e. how learning technologies/AI intersection could engage with cognition and brain functioning?The future inquiries should address these inconsistencies through collaborations among various stakeholders using critical longitudinal, cross-cultural and comparative studies to better analyze the scalability of and long-term efficacy of innovations in non-Western contexts (socioeconomic and cultural), low/high resource/tech or global environment. The research needs to explore the ethical ramifications such as how biases in AI-driven tools could be mitigated? Or how digital platforms may affect psychologically due to limited human interaction in learning? Overall, the quality that stands out is its vast approach to bridging academic theory and real-world applications/administration and automating for service of human creativity rather than merely learning enhances philosophical depth as contrasted from purely technical volumes.