Lab Activity: Digital Humanities

Lab Activity: Digital Humanities

- This blog is about the lab activity in which we had to play the Moral Machine game and then watch the three video parts and provide a summary and this task is assigned by Dilip Barad sir.

Moral Machine

Experience:

During the Moral Machine simulation, I was placed in situations where a self-driving car had to make life-and-death decisions, and I had to choose the outcome. The scenarios compared groups such as young versus old, rich versus poor, passengers versus pedestrians, or even humans versus animals. Making these choices was difficult because there was never a perfect or universally “right” answer every decision carried consequences. The activity highlighted how technology, especially AI, is beginning to face moral dilemmas that humans usually handle through judgment and empathy.

Learning Outcome:

From this exercise, I learned that ethical decision-making is rarely straightforward and often involves complex trade-offs and competing values. It also made me aware of how much my cultural background, personal beliefs, and emotions influenced my decisions. At the same time, the activity emphasized the responsibility of embedding ethics into AI systems, since they may soon be required to make such decisions in real life. Finally, it pushed me to think critically about deeper questions of value and fairness, such as whether law-abiding behavior, age, or social position should determine whose life is prioritized.

Pedagogical Shift from Text to Hypertext: Language & Literature to the Digital Natives

Part-1

 

The three Hypertext Pedagogical Shifts illustrate the evolution of learning from traditional linear text to interactive, multimedia-rich environments. The first shift introduces hypertext, emphasizing non-linear navigation, personalized learning, and increased engagement. The second shift focuses on practical applications, highlighting collaborative learning, effective design principles, and tools for implementing hypertext. The third shift explores advanced applications, including multimedia integration, assessment strategies, and future trends like adaptive learning systems and AI-driven navigation, collectively showing how hypertext can enhance knowledge retention and learner experience.

Part-2

This page explores the practical applications of hypertext in education, building on the foundational concept of hypertext introduced in the first shift. It emphasizes that hypertext is not just a theoretical idea but a powerful tool to make learning interactive, flexible, and collaborative. The page discusses various tools and platforms that educators can use to create hypertext-based learning resources, highlighting their role in allowing learners to navigate content non-linearly and explore topics according to their interests and pace.

A key focus is on design principles: hypertext resources should have clear and logical links, intuitive navigation, and well-structured content to prevent confusion and ensure effective learning. Collaborative learning is another major point, as hypertext enables students to contribute, share, and connect ideas, fostering engagement and peer-to-peer interaction. The page also shows how hypertext can enhance critical thinking by encouraging learners to make connections between concepts and follow different pathways through content. Overall, it demonstrates that thoughtfully designed hypertext can transform traditional learning into an interactive, learner-centered experience, making education more meaningful, engaging, and effective.

Part-3

This page explores the advanced applications and future trends of hypertext in education, emphasizing its integration with multimedia elements such as videos, images, and interactive quizzes to create rich, engaging learning experiences. It discusses how hypertext can be used not only for content delivery but also for assessment and tracking of learner progress, allowing educators to monitor understanding and adapt instruction accordingly. The page highlights the potential of adaptive learning systems and AI-driven navigation, which can personalize the learning path based on individual learner needs. Overall, it demonstrates how hypertext can transform education into a dynamic, interactive, and personalized experience, enhancing engagement, knowledge retention, and learner autonomy while preparing the ground for future innovations in digital pedagogy.