Enhancing School Counseling With Technology and Case Studies
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In today's educational landscape, the integration of technology into school counseling has become a vital tool for enhancing student support and guidance. With advancements in digital platforms, school counselors can reach students effectively, streamline administrative tasks, and access valuable resources to address a wide range of academic, social, and emotional needs. Digital technology transforms school counseling practices, offering resources that enhance the effectiveness and accessibility of school counseling programs. Further research into school counseling technology may improve outcomes for students and contribute to a more inclusive, accessible, and responsive educational counseling environment. Enhancing School Counseling With Technology and Case Studies explores the integration of technology in school counseling, as well as the various digital tools and platforms that enhance the effectiveness of school counseling. It presents detailed case studies that illustrate the successful implementation of these technologies in diverse school settings, providing best practices for integrating technology into counseling curricula, addressing ethical and legal considerations, and preparing for future trends in tech-enhanced counseling. This book covers topics such as digital technology, gamification, and telehealth, and is a useful resource for educators, sociologists, psychologists, academicians, computer scientists, and researchers.
Çela, Eriona: - Dr. Eriona Cela is a distinguished academic and expert in European integration and negotiation, renowned for her contributions to education and public administration in Albania and beyond. Holding prominent positions within multiple institutions, she serves as a key figure at the Academy of European Integration and Negotiations (AIEN), the Albanian School of Public Administration (ASPA), and the Business Academy College. Dr. Cela's expertise is further recognized through her active involvement in various roles related to European Union policies and enlargement strategies. As a Jean Monnet Chair holder at the Institute of European Studies, University of Tirana, Dr. Cela has spearheaded significant projects such as the European Integration School 2023's eighth edition. Her work frequently appears in prestigious publications, including the European Journal of Arts, Humanities and Social Sciences, the European Journal of Contemporary Education, and the International Journal of Balkan Studies. She is also an Associate Editor for the International Journal of Risk and Contingency Management (IJRCM), an IGI Journal. She has also been engaged with the OSCE Academy in Bishkek, Vytautas Magnus University, and the Università degli Studi di Bari Aldo Moro, Dipartimento di Studi Umanistici, where she has furthered research and collaboration on a European scale. Dr. Cela's commitment to educational leadership is demonstrated through her involvement with Shkolla e Drejtorëve (CSL) and the AADF, where she focuses on developing future leaders and administrators. In recognition of her ongoing contributions to education and public administration, Dr. Cela has received numerous accolades and is frequently invited as a keynote speaker at various academic and policy-making webinars. Her work continues to influence the strategic development of education systems in Albania and serves as a benchmark for integrating European educational standards and practices in the region.
Sengar, Sandeep Singh: - Sandeep Singh Sengar is a Lecturer in Computer Science at Cardiff Metropolitan University, United Kingdom. He also holds the position of Cluster Leader for Computer Vision/Image Processing at this place. Before joining this position, he worked as a Postdoctoral Research Fellow at the Machine Learning Section of the Computer Science Department, at the University of Copenhagen, Denmark (a ranked #1 university in Denmark). He completed his Ph.D. degree in Computer Vision at the Department of Computer Science and Engineering from the Indian Institute of Technology (ISM), Dhanbad, India, and an M. Tech. degree from Motilal Nehru National Institute of Technology, Allahabad, India. He is also a Fellow of HEA, a Senior Member of IEEE, and a Professional Member of ACM. Dr. Sengar's broader research interests include Machine/Deep Learning, Computer Vision, Image/Video Processing, and its applications. He has published several research articles in reputable international journals and conferences. He is an Editorial Board Member, Guest Editor, and Reviewer at reputed International Journals. He is a reviewer of research grants at EPSRC and Cardiff Met.
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