Credits: 4 | Instructor: Prof. K. Srinivas
The rapid advancement of Artificial Intelligence (AI) is transforming educational systems,pedagogical practices, and knowledge production globally. This course introduces students to the foundational relationship between education and AI, examining philosophical, sociological, technological, and pedagogical dimensions. It aims to develop critical understanding of howAI reshapes teaching-learning processes, educational governance, assessment systems, andknowledge equity.
The course also focuses on preparing learners to critically engage with AI tools, understandtheir ethical implications, and apply AI responsibly in educational contexts. It emphasizes therole of educators as informed designers, evaluators, and ethical users of AI-enabled systems.
The rapid advancement of Artificial Intelligence (AI) is transforming educational systems,pedagogical practices, and knowledge production globally. This course introduces students to the foundational relationship between education and AI, examining philosophical, sociological, technological, and pedagogical dimensions. It aims to develop critical understanding of howAI reshapes teaching-learning processes, educational governance, assessment systems, andknowledge equity.
The course also focuses on preparing learners to critically engage with AI tools, understandtheir ethical implications, and apply AI responsibly in educational contexts. It emphasizes therole of educators as informed designers, evaluators, and ethical users of AI-enabled systems.
- Teacher: NIEPA Admin
- Teacher: Prof. K Srinivas
Credits: 4 | Instructor: Prof. P. K. Misra
Artificial Intelligence (AI) is rapidly transforming educational systems worldwide, influencing decision-making, governance, and long-term planning. This course is designed to provide postgraduate learners with a critical and analytical understanding of how AI intersects with educational policy and planning processes. It explores the role of AI in shaping access, equity, quality, and efficiency in education systems at local, national, and global levels. The course equips students with the knowledge to analyse AI-driven policy frameworks, interpret data-informed decision-making models, and evaluate the ethical, social, and political implications of AI adoption in education. It also prepares learners to engage with emerging governance models, digital public infrastructures, and policy innovations in AI-enabled education systems.
Artificial Intelligence (AI) is rapidly transforming educational systems worldwide, influencing decision-making, governance, and long-term planning. This course is designed to provide postgraduate learners with a critical and analytical understanding of how AI intersects with educational policy and planning processes. It explores the role of AI in shaping access, equity, quality, and efficiency in education systems at local, national, and global levels. The course equips students with the knowledge to analyse AI-driven policy frameworks, interpret data-informed decision-making models, and evaluate the ethical, social, and political implications of AI adoption in education. It also prepares learners to engage with emerging governance models, digital public infrastructures, and policy innovations in AI-enabled education systems.
- Teacher: NIEPA Admin
- Teacher: Prof. P. K. Misra
Credits: 2 | Instructor: Prof. Amit Gautam
With the rapid integration of Artificial Intelligence (AI) into educational ecosystems ranging from adaptive learning systems to predictive analytics critical concerns around ethics, accountability, and data privacy have emerged. Educational institutions increasingly rely on data-driven technologies that collect, process, and interpret sensitive learner information. This necessitates a strong ethical and regulatory framework to ensure responsible AI adoption. This course aims to develop ethical reasoning, data governance awareness, and responsible AI practices among postgraduate learners. It prepares students to critically evaluate AI tools used in education, understand privacy risks, and design ethically compliant educational solutions. The course also emphasizes aligning AI practices with principles of equity, fairness, transparency, and learner rights, ensuring that technological innovation does not compromise human values.
With the rapid integration of Artificial Intelligence (AI) into educational ecosystems ranging from adaptive learning systems to predictive analytics critical concerns around ethics, accountability, and data privacy have emerged. Educational institutions increasingly rely on data-driven technologies that collect, process, and interpret sensitive learner information. This necessitates a strong ethical and regulatory framework to ensure responsible AI adoption. This course aims to develop ethical reasoning, data governance awareness, and responsible AI practices among postgraduate learners. It prepares students to critically evaluate AI tools used in education, understand privacy risks, and design ethically compliant educational solutions. The course also emphasizes aligning AI practices with principles of equity, fairness, transparency, and learner rights, ensuring that technological innovation does not compromise human values.
- Teacher: NIEPA Admin
- Teacher: Prof. Amit Gautam
Credits: 2 | Instructors: Prof. K. Srinivas & Dr. P. Shankar
Artificial Intelligence (AI) is rapidly transforming educational practices by enabling personalized learning, intelligent content generation, adaptive assessment, and data-driven decision-making. This course is designed to equip postgraduate learners with practical competencies and critical understanding of AI tools and applications in teaching and learning contexts. The course focuses on developing hands-on skills, pedagogical integration strategies, and ethical awareness required to effectively use AI in educational settings. It also emphasizes responsible and reflective use of AI, ensuring alignment with educational goals such as access, equity, quality, and inclusion. Unlike broad theoretical courses, this skill enhancement course prioritizes applied learning, enabling students to design AI-supported instructional practices and learning environments relevant to real-world educational contexts.
Artificial Intelligence (AI) is rapidly transforming educational practices by enabling personalized learning, intelligent content generation, adaptive assessment, and data-driven decision-making. This course is designed to equip postgraduate learners with practical competencies and critical understanding of AI tools and applications in teaching and learning contexts. The course focuses on developing hands-on skills, pedagogical integration strategies, and ethical awareness required to effectively use AI in educational settings. It also emphasizes responsible and reflective use of AI, ensuring alignment with educational goals such as access, equity, quality, and inclusion. Unlike broad theoretical courses, this skill enhancement course prioritizes applied learning, enabling students to design AI-supported instructional practices and learning environments relevant to real-world educational contexts.
- Teacher: NIEPA Admin
- Teacher: Prof. K Srinivas
- Teacher: Dr. P. Shankar
Credits: 3 (8 Cr Pool) | Provider: SWAYAM
The rapid integration of Artificial Intelligence (AI) and Open Source technologies is transforming the global education landscape. In alignment with the vision of the National Education Policy (NEP) 2020, educators are expected to embrace digital innovation, foster personalized learning, and create inclusive teaching–learning environments. To meet these emerging demands, this MOOC on “Artificial Intelligence and Open Source Tools for Teaching–Learning Excellence” has been designed to equip faculty, teachers, and education professionals with the knowledge, skills, and hands-on experience required for AI-enabled pedagogy. By combining conceptual understanding with practical applications, the course empowers educators to design innovative, learner-centric pedagogies, adopt cost-effective solutions, and enhance institutional academic practices. By the end of this MOOC, participants will be able to design, develop, and implement AI-enabled teaching resources using open source tools, thereby enhancing the quality of education and contributing to the creation of future-ready classrooms. This programme will serve as a capacity-building platform for educators, empowering them to leverage AI and open source tools to achieve teaching–learning excellence in higher education and beyond.
The rapid integration of Artificial Intelligence (AI) and Open Source technologies is transforming the global education landscape. In alignment with the vision of the National Education Policy (NEP) 2020, educators are expected to embrace digital innovation, foster personalized learning, and create inclusive teaching–learning environments. To meet these emerging demands, this MOOC on “Artificial Intelligence and Open Source Tools for Teaching–Learning Excellence” has been designed to equip faculty, teachers, and education professionals with the knowledge, skills, and hands-on experience required for AI-enabled pedagogy. By combining conceptual understanding with practical applications, the course empowers educators to design innovative, learner-centric pedagogies, adopt cost-effective solutions, and enhance institutional academic practices. By the end of this MOOC, participants will be able to design, develop, and implement AI-enabled teaching resources using open source tools, thereby enhancing the quality of education and contributing to the creation of future-ready classrooms. This programme will serve as a capacity-building platform for educators, empowering them to leverage AI and open source tools to achieve teaching–learning excellence in higher education and beyond.
- Teacher: NIEPA Admin
Credits: 3 (8 Cr Pool) | Provider: SWAYAM
Artificial Intelligence (AI) is transforming teaching, learning, and educational management. This course, "Integration of Artificial Intelligence in Education Practices," offers a practical understanding of how AI can make education more efficient, personalized, and engaging. The course begins with an introduction to AI concepts and tools used in education, explaining how they differ from traditional methods. It explores how AI supports lesson planning, content delivery, and the creation of personalized learning experiences tailored to individual students' needs. It highlights the role of AI in enhancing student engagement and motivation through tools like gamification and interactive platforms. The course also delves into AI-driven assessments, focusing on real-time feedback and automated grading while maintaining the essential involvement of educators. The use of AI in analyzing student performance is another key focus, showcasing its ability to identify at-risk learners and provide actionable insights to improve outcomes, all while addressing ethical considerations like data privacy. AI's impact on collaboration and communication is examined, including tools like virtual and augmented reality that enable immersive and interactive learning experiences. The course concludes by addressing challenges such as equitable access, data privacy, and preparing educators with the necessary skills to adopt AI effectively, highlighting its potential to shape the future of education.
Artificial Intelligence (AI) is transforming teaching, learning, and educational management. This course, "Integration of Artificial Intelligence in Education Practices," offers a practical understanding of how AI can make education more efficient, personalized, and engaging. The course begins with an introduction to AI concepts and tools used in education, explaining how they differ from traditional methods. It explores how AI supports lesson planning, content delivery, and the creation of personalized learning experiences tailored to individual students' needs. It highlights the role of AI in enhancing student engagement and motivation through tools like gamification and interactive platforms. The course also delves into AI-driven assessments, focusing on real-time feedback and automated grading while maintaining the essential involvement of educators. The use of AI in analyzing student performance is another key focus, showcasing its ability to identify at-risk learners and provide actionable insights to improve outcomes, all while addressing ethical considerations like data privacy. AI's impact on collaboration and communication is examined, including tools like virtual and augmented reality that enable immersive and interactive learning experiences. The course concludes by addressing challenges such as equitable access, data privacy, and preparing educators with the necessary skills to adopt AI effectively, highlighting its potential to shape the future of education.
- Teacher: NIEPA Admin
Credits: 3 (8 Cr Pool) | Provider: SWAYAM
AI Applications in Academic Research is a comprehensive, practice-oriented course designed to empower students, researchers, and academicians with AI-driven skills to enhance the quality, speed, and rigor of academic research. As Artificial Intelligence becomes increasingly integrated into research ecosystems, this course provides a structured pathway to leverage AI tools across all stages of the research process. The course begins with an introduction to AI concepts and their relevance in academia, followed by a deep dive into AI-powered literature search, summarization, and knowledge discovery tools. Learners will explore the use of AI for research design, hypothesis refinement, and methodology selection. The final modules focus on AI-supported academic writing, visualization, presentation preparation, and research dissemination. With growing emphasis on responsible AI use, the course ends with insights into the future of AI in academic research and a capstone project that integrates multiple AI tools. By the end of the course, learners will be able to apply AI effectively across literature review, analysis, writing, and dissemination, resulting in more efficient, accurate, and impactful research outcomes.
AI Applications in Academic Research is a comprehensive, practice-oriented course designed to empower students, researchers, and academicians with AI-driven skills to enhance the quality, speed, and rigor of academic research. As Artificial Intelligence becomes increasingly integrated into research ecosystems, this course provides a structured pathway to leverage AI tools across all stages of the research process. The course begins with an introduction to AI concepts and their relevance in academia, followed by a deep dive into AI-powered literature search, summarization, and knowledge discovery tools. Learners will explore the use of AI for research design, hypothesis refinement, and methodology selection. The final modules focus on AI-supported academic writing, visualization, presentation preparation, and research dissemination. With growing emphasis on responsible AI use, the course ends with insights into the future of AI in academic research and a capstone project that integrates multiple AI tools. By the end of the course, learners will be able to apply AI effectively across literature review, analysis, writing, and dissemination, resulting in more efficient, accurate, and impactful research outcomes.
- Teacher: NIEPA Admin