Artificial Intelligence in Higher Education and Learning

Artificial Intelligence in Higher Education and Learning

Chander Diwaker (UIET, Kurukshetra University, India), Atul Sharma (UIET, Kurukshetra University, India) and Pradeep Tomar (Gautam Buddha University, India)
DOI: 10.4018/978-1-7998-4763-2.ch004

Abstract

Artificial intelligence is an emerging technology that is popular in education technology. AI plays a vital role to e-teaching and e-learning in higher education. In this chapter, a major focus is on exploring the wonders of the development of AI in higher education for teaching and learning processes. It analyses the educational ramifications of rising innovations in transit student learning and how organizations instruct and develop. Late inventive degrees of progress and the accelerating new headway in cutting edge training are researched to predict the future thought of cutting-edge instruction in all actuality. The role of AI in higher education is presented in detail by systematic review.
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Architecture Of Ai

Fig. 1 shows the usefulness of AI in different area. The major research area includes are speech, natural language processing, expert system, robotics, vision, scheduling, optimization, machine learning etc.

Figure 1.

Architecture of AI

978-1-7998-4763-2.ch004.f01
(Lucas 2017)
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Components Of Ai

The following are the major components of AI (Arrieta et al. 2020):

  • 1.

    Fairness: Trained data and models should be utilized to avoid unfair action of certain clusters.

  • 2.

    Robustness: Safety and security are important factors while applying AI concepts.

  • 3.

    Explain-ability: The decisions, rules, or suggestions must be clearly understood to users and developers.

  • 4.

    Ancestry: The details of maintenance, deployment and development should be properly documented for future auditing and modification purposes.

  • 5.

    Cognitive Abilities: It is capability of a machine to work like human being.

  • 6.

    Database: The machines should have database that can easily process human query and find solution for humans.

  • 7.

    Hardware: Graphic Processing Units (GPU) is an important part of hardware in AI for user interaction.

  • 8.

    Framework: A good framework requires trained/learn machine to perform better for handing human queries. In present days, Azure Machine Learning Studio, R and Python are utilized.

  • 9.

    API: There is recurrent of API to bring out AI services such as classification of text, classification of images, sentiment analysis etc.

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Applications Of Ai

The various applications of AI are as follows[3]:

  • 1.

    Smart assistants: AI helps in providing smart services like in smart home.

  • 2.

    Conversational bots for marketing and customer service: AI helps in satisfying customer needs.

  • 3.

    Manufacturing and drone robots: Drone robots are utilizing for controlling the activities and storing the current activities.

  • 4.

    Optimized, personalized healthcare treatment recommendations: AI helps in human treatment for a number of deceases and recommends people accordingly.

  • 5.

    Social media monitoring tools for dangerous content or false news: AI helps in monitoring social activities through internet and also check whether the information available through internet is genuine or not.

  • 6.

    Robo-advisors for stock trading: AI helps in stock trading through robo-advisor.

  • 7.

    Disease mapping and prediction tools: AI helps in mapping of different deceases and help in predicting the tools according to deceases.

  • 8.

    Spam filters on email: AI helps in filtering harmful information while accessing internet.

  • 9.

    Song or TV show recommendations from Spotify and Netflix: AI helps in recommendation information according to the test/interest of people accessing internet.

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