Developing New Technology

Despite the global shift toward clean energy sources, including in the rail transport sector, India is still expanding and continuing to build diesel electric locomotives. This is due to the following factors:

1. Constraints of Infrastructure:
Restructuring the rail tracks for the purpose of electrifying them is highly investment and time intensive. There is a considerable network of railway lines in India and especially in regions that are difficult and mountainous.
2. Economical Inducements:
Diesel engines are adaptable and efficient and can easily operate on non-electrified lines without power.
The costs involved in acquiring diesel engines and their servicing and repairs are lower than those of electric engines both in the initial costs and over the life of the systems.
3. Technological Limitations:
Electric locomotives are effective, however there is a need for a continuous power supply. Power shortage and power grid problems may affect their efficiency.
4. Indigenous Technology:
The country has established a home-grown technology which manufactures diesel locomotives in order to minimize the level of imports.

5. Gradual Transition:
In India, starting with electric locos, there is a very slow expansion.
Utilization of both diesel and electric locomotive makes it conducive to transition.

Even if diesel locomotives have a few advantages, the use of petroleum cannot be overlooked, hence India has to move ahead with electric locomotive enhancement and with other fuels such as hydrogen and bio-fuels.

AI’s Role in Learning

Introducing artificial intelligence is revolutionizing the way students learn. They illustrate innovative units as inspired by student’s skills, preferences, and approaches to learning. AI sees what students can and where they lack ability or comprehension.

In smart learning systems, AI and ML are employed to validate a lot of data pertaining to student performance. This makes it easier to find out what the students are best at as well as what they find most challenging. AI blends this information with a particular student’s needs, preferences and learning profile to create unique learning paths.

For instance, if the student scores pretty well in a particular subject area, then the system can advance to higher level content over a session. And if a student wants to read something then the system can assist him or her and further can make the speed according to that student’s learning capacities.

Nevertheless, There are some issues to work out to make sure AI helps without hurting the quality of education:

1. Less Human Contact

We are not only learning what is written in books; we are also learning how to be socially and emotionally healthy individuals. Paradoxically, it means if excessive use of artificial intelligence is made in school, the interaction between student and teachers could be minimized. This time is crucial for the development of the ability to share with others, to get and express own and others’ emotions and to reason. It means that AI can facilitate learning but it cannot provide such things as encouragement, teacher’s individual attention, and etc.

1. Quatity and Releveance of Lessons

However, it is also important to remember that an AI system can only be as good as the lesson you derive from it. The biggest challenge is firstly to ensure that the AI tools being employed utilise correct, updated, and pertinent information. It also questions if, with the help of AI, learning processes might become too standardized and do not offer different perspectives or critical pedagogy. This means that teachers must ensure that they spend their time ensuring that what is being taught to students through AI systems is of the highest quality.

1. Ethical Worries

Introduction of AI into the schools raises ethical concern such as the extent to which AI ought to be employed when making decisions touching on the lives of the students. Should the artificial intelligence systems decide whether a student should attend a particular class or his future life path based on the outcomes of data predictions? Secondly, students and teachers need to know the rationale of choosing or deciding with help of AI.

1. Cost and Access

Introducing AI into schools can be expensive, requiring large purchases of technology and equipment and time from educators. This leads to the generation of another kind of a gap where only rich schools can be able to implement the use of AI while leaving behind poor schools and students. Ensuring that all children can learn with AI regardless of whether they are rich or poor is a major issue. We have to think of some new rules and new plans on how everyone shall get the same opportunity to use those AI tools in school.

1. Dependence on Technology

Another disadvantage from the increased use of AI in education is that both the students and the teachers are likely to be fully reliant on the technology. This dependence might lower down the critical thinking and problem solving abilities of students as they are lazy to think hard and look for information on their own instead of asking the AI.

Although AI can be really helpful in education, these opportunities demonstrate that such a tool should be used very cautiously. There are so many dilemmas that we have to solve like privacy, fairness, cost, and ethical concerns depending on how we can implement AI for schools that will benefit all students and therefore improve the efficiency and fairness of education delivery.