Books/Book Chapters/Edited Books

Permanent URI for this collectionhttp://192.168.24.11:4000/handle/123456789/237

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    Interdisciplinarity in Education: Beyond Traditional Boundaries
    (Bentham Science, 2026) Manisha Singh, Waseem Zahra, Arbind K Jha, Tahmeena Khan, Saman Raza
    Progress in education is best achieved by using the best of every discipline. A field such as education can never progress in isolation. This chapter emphasizes several key points, including the concept of interdisciplinary, the differences between related terms such as interdisciplinary, multidisciplinary, and bridging disciplines. The chapter highlights the impact of an interdisciplinary approach in school and higher education. Further, it highlights the benefits of an interdisciplinary approach among two major stakeholders: students and teachers. Additionally, the chapter explores the characteristics of a multidisciplinary approach and the strategies, such as contextualising, conceptualising, and problem-centred teaching, employed in interdisciplinary teaching. The primary objective of this chapter is to provide insight into the concept of interdisciplinary education and its various dimensions.
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    Interdisciplinarity Traditional Boundaries in Education: Beyond
    (Bentham Science, 2026) Manisha Singh, Waseem Zahra, Arbind K Jha, Tahmeena Khan, Saman Raza
    Progress in education is best achieved by using the best of every discipline. A field such as education can never progress in isolation. This chapter emphasizes several key points, including the concept of interdisciplinary, the differences between related terms such as interdisciplinary, multidisciplinary, and bridging disciplines. The chapter highlights the impact of an interdisciplinary approach in school and higher education. Further, it highlights the benefits of an interdisciplinary approach among two major stakeholders: students and teachers. Additionally, the chapter explores the characteristics of a multidisciplinary approach and the strategies, such as contextualising, conceptualising, and problem-centred teaching, employed in interdisciplinary teaching. The primary objective of this chapter is to provide insight into the concept of interdisciplinary education and its various dimensions.
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    Artificial Intelligence Assisted Teaching and Learning and Research of Environmental Sciences
    (Bentham Science, 2024) Tameena Khan, Manisha Singh,Saman Raza, Kulsum Hasmi, Seema Joshi, Priya Mishra, Abdul Rahman Khan
    Artificial intelligence (AI) has become the latest tool in facilitating the computer-assisted teaching-learning process. The Al-based teaching system is viewed as a personalized one-on-one student-teacher interaction. Al in education is becoming more common and has received a lot of attention recently. This growing interest is likely to have a big impact on higher education. Many educators and educational authorities are considering integrating Al topics into K-12 curricula, to provide school students with insights into these evolving technologies. Recent studies on Al curricula have mostly concentrated on identifying which Al tools are better for student learning and what subject matter knowledge and abilities need to be taught. Since the goal of these studies was to promote information, they designed their curriculum with appropriate content, effective delivery methods, and strategies to increase students competency levels. Environmental education seeks to explore natural processes and foster the development of skills and attitudes geared towards sustainability and the protection of the environment. Recently, Al has been widely used in geological, environmental, and related research. It can also assist in the exploration of energy resources and minerals. The use of Al in education teaching-learning and academic achievement has been elucidated in this chapter. This chapter also aims to explore the role of Al-assisted teaching of environmental sciences and how it impacts the overall learning experience. Understanding the role of Al in environmental sciences is very important as it can address crucial problems like climate change, early prediction of natural disasters, and many others. Currently, there is a need to develop accurate models at an affordable time and cost. Other than research, the implementation of Al in environmental education can lead to a change in students' aptitude and interest and can help in the development of sensitivity towards environmental protection.