Applications of Machine Learning and Artificial Intelligence in Education

The traditional learning and teaching methods have been replaced by modern technologies, such as machine-facilitated communication, learning, and teaching tools. This has led to the need for more innovative technology-moderated tools for learning, communication, and information exchange.

Format: Hardback
Length: 330 pages
Publication date: 28 February 2022
Publisher: IGI Global

The traditional modes and models of learning and instruction have undergone a remarkable transformation in the face of the current educational and social contexts of this era. The traditional approach, characterized by human-generated, computed, and mediated learning and instructional practices, has given way to a new landscape where machine-facilitated communication, learning, and teaching tools dominate. This shift has opened up a world of possibilities for learners, enabling them to engage with content in innovative and personalized ways.

Learning and instruction have become more dynamic and interactive, with technology playing a pivotal role in facilitating communication and information exchange. The need for more innovative technology-moderated tools has become increasingly apparent in areas such as data gathering, coding, analysis, and synthesis. These tools are essential in helping learners extract valuable insights from vast amounts of data, making informed decisions, and solving complex problems.

In response to this demand, the field of education has witnessed the emergence of Machine Learning and Artificial Intelligence (MLAI) as powerful tools for enhancing learning and instruction. Applications of Machine Learning and Artificial Intelligence in Education focuses on the parameters of remote learning, machine learning, deep learning, and artificial intelligence under 21st-century learning and instructional contexts. This comprehensive textbook covers a wide range of topics, including data coding and social networking technology, making it an ideal resource for learners with an interest in the deep learning discipline, educators, educational technologists, instructional designers, and data evaluators, as well as special interest groups (SGIs) in the discipline.

One of the key advantages of MLAI in education is its ability to personalize learning experiences. By leveraging advanced algorithms and machine learning techniques, educators can tailor learning materials and activities to individual learners' needs, preferences, and learning styles. This approach ensures that each student receives the most effective and engaging learning experience possible, leading to better academic outcomes and increased student engagement.

Another area where MLAI has made significant strides is in the field of assessment and evaluation. Traditional assessment methods often rely on standardized tests and quizzes, which may not accurately measure a student's knowledge, skills, and abilities. MLAI, on the other hand, can analyze large amounts of data and provide insights into a student's performance, helping educators identify areas of strength and weakness and develop personalized interventions to improve learning outcomes.

Furthermore, MLAI has the potential to transform the way we teach and learn. With the rise of remote learning, educators are faced with the challenge of providing students with access to high-quality education resources and engaging learning experiences. MLAI can help address this challenge by enabling the creation of virtual classrooms, interactive learning environments, and personalized learning paths that can be accessed from anywhere in the world.

In conclusion, the modes and models of learning and instruction have undergone a significant shift in the era of digital transformation. The introduction of machine-facilitated communication, learning, and teaching tools has opened up a world of possibilities for learners, enabling them to engage with content in innovative and personalized ways. MLAI has the potential to revolutionize the field of education by personalizing learning experiences, enhancing assessment and evaluation, and transforming the way we teach and learn. As technology continues to advance, we can expect to see even more exciting developments in the world of MLAI and education.

Weight: 1004g
Dimension: 225 x 290 x 24 (mm)
ISBN-13: 9781799877769