Serious Games in Personalized Learning explores game-based teaching and learning, providing a comprehensive guide to the history, practical implications, and data-collection potential of these tools.

Format: Paperback / softback
Length: 290 pages
Publication date: 13 July 2021
Publisher: Taylor & Francis Ltd

Serious Games in Personalized Learning delves into the realm of game-based teaching and learning, a timely exploration as learning and training systems embrace the integration of serious games, machine-learning artificial intelligence models, and adaptive technologies. Game-based education presents a unique opportunity to collect valuable data, enabling the measurement, assessment, and evaluation of not only the effectiveness of games but also the information and knowledge acquired by students through their gaming experiences. This comprehensive book synthesizes cutting-edge research, frameworks, and models focused on designing and delivering serious games that truly personalize the learning experience. It serves as a valuable resource for scholars and professionals in the fields of educational technology, instructional design, human performance, and related disciplines, providing a comprehensive guide to the history, practical implications, and data-collection potential inherent in these rapidly evolving tools.

Serious Games in Personalized Learning

Serious Games in Personalized Learning explores the intersection of game-based teaching and learning in a world where learning and training systems increasingly incorporate serious games, machine-learning artificial intelligence models, and adaptive technologies. Game-based education offers a unique avenue to collect valuable data, enabling the assessment, measurement, and evaluation of not only the effectiveness of games but also the information and knowledge acquired by students through their gaming experiences. This comprehensive book synthesizes cutting-edge research, frameworks, and models centered on designing and delivering serious games that truly personalize the learning experience. It serves as a valuable resource for scholars and professionals in the fields of educational technology, instructional design, human performance, and related disciplines, providing a comprehensive guide to the history, practical implications, and data-collection potential inherent in these rapidly evolving tools.

The integration of serious games, machine-learning AI models, and adaptive technologies in learning and training systems has opened up new avenues for personalized learning. Serious games, which are designed to engage learners and promote cognitive development, can provide immersive and interactive experiences that cater to individual learners' needs and preferences. Machine-learning AI models can analyze learners' behavior and performance data to tailor the game experience and content to their specific learning styles and abilities. Adaptive technologies can adjust the game's difficulty and pace based on the learner's progress and performance, ensuring that they are challenged and motivated to learn.

One of the key benefits of serious games in personalized learning is their ability to provide learners with real-world scenarios and problem-solving opportunities. By immersing learners in realistic simulations and scenarios, serious games can help them develop critical thinking skills, problem-solving abilities, and decision-making capabilities. These skills are essential in today's rapidly changing world, where individuals need to be able to adapt and solve complex problems quickly.

Another advantage of serious games in personalized learning is their ability to promote engagement and motivation. Games are inherently engaging and fun, which can help learners stay motivated and engaged in their learning journey. By providing learners with personalized feedback and rewards, serious games can help them track their progress and recognize their achievements, which can further enhance their motivation and engagement.

However, the integration of serious games, machine-learning AI models, and adaptive technologies also presents several challenges. One of the challenges is the need for high-quality game design and development. Serious games must be well-designed, engaging, and immersive to effectively promote learning and engagement. Additionally, developers must ensure that the games are accessible to learners with different disabilities and learning styles.

Another challenge is the need for effective data collection and analysis. Collecting and analyzing learners' behavior and performance data can be complex and time-consuming, particularly when dealing with large datasets. Additionally, there is a need for robust data analysis techniques to identify patterns and insights that can inform game design and development.

Despite these challenges, the integration of serious games, machine-learning AI models, and adaptive technologies in personalized learning has the potential to revolutionize the way we teach and learn. By providing learners with personalized and engaging learning experiences, these technologies can help us achieve better learning outcomes and prepare learners for the challenges of the 21st century.

In conclusion, serious games in personalized learning offer a promising approach to promoting personalized learning and engagement. By leveraging the power of game-based learning, machine-learning AI models, and adaptive technologies, we can create learning experiences that are tailored to individual learners' needs and preferences. However, there are still several challenges that need to be addressed to fully realize the potential of these technologies. By continuing to invest in research and development, we can overcome these challenges and create even more effective and engaging serious games for personalized learning.

Weight: 446g
Dimension: 152 x 227 x 30 (mm)
ISBN-13: 9780367487508