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    Home » The Future of Educational Technology: How AI Will Change Learning Games
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    The Future of Educational Technology: How AI Will Change Learning Games

    zestful GraceBy zestful GraceJuly 1, 2024No Comments6 Mins Read
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    The future of educational technology is rapidly evolving, and artificial intelligence (AI) is at the forefront of this transformation. Just as you might experience live casino online to add excitement to gaming, AI is set to revolutionize learning games, making them more engaging, personalized, and effective. 

    Computer games have been introduced and incorporated into the learning process for many years now, however, their effectiveness is normally questionable. Conventional learning games are characterized as monotonous and not stimulating at all. But in recent years intellectual games have undergone a certain evolution thanks to the breakthrough in technologies and the techniques of teaching. They now include aspects such as gaming, modeling, and virtual learning to make the students’ learning process more effective. 

    Nevertheless, there is still important work to be done to continue to enhance learning games as a subgenre. Despite the number of educators and learners having positive feelings towards them, many students describe them as uninteresting and the impact they have on learning results is questionable. This is where I believe how AI can help to come to the application. 

    Personalized Learning Experiences

    Tailored to Individual Needs

    Suppose you could play a learning game that was as flexible as you and understood how you learn best, and how quickly. AI makes this possible by capturing information on how a person leads his life, by playing the game. It broadens your field of topics and states what belongs to each of you, focusing on your strong sides and areas that could be improved. This approach of learning also makes you benefit from each session as it is answered according to your name. 

     Example: DreamBox Learning 

    Another example of the application of AI in education is DreamBox Learning based on K-8 Math Software that adapts to the child. The application monitors students’ performance and offers unique exercises and assistance for their achievements in real-time mode. 

    Enhanced Engagement and Motivation 

    Making Learning Fun 

    Arguably, one of the most daunting tasks when offering education is engaging the learners. AI can make it more interesting and real-like thus improving the experience a gamer is going through. These AI-incorporated games should consist of elements like VR and AR to make the educational process more effective and engaging. 

    Example: Minecraft: Education Edition 

    Minecraft: Education Edition is an AI-based software to provide teaching students with an open area to learn and innovate. With the assistance of AI, tasks and challenges for learning are generated from educational content, and so students enhance their learning through play. 

    Real-Time Feedback and Assessment 

    Instant Insights 

    Conventional practices entail the use of learning a technique where there is normally a delay in the feedback provided, which is counter-productive. AI modifies this by being able to inform as well as evaluate in the same real-time. In learning games, AI can provide feedback as soon as the lesson is given, help identify where mistakes are made, and recommend where more help can be found. This cycle makes it easier for learners to deter errors and understand concepts from the feedback given almost immediately. 

    Example: Carnegie Learning’s MATHia 

    MATHia, from Carnegie Learning company also applies artificial intelligence through bringing results of tests taken by the learners to them without delay. The system can monitor the student’s progress at the hints and guides and facilitate the learning process for the student. 

    Adaptive Learning Paths

    Customized Curricula 

    Incorporation of learning games using AI can foster the development and usage of learning paths that can change according to the strengths and weaknesses of the learner. These games can open up rather than prescribing how content based on a student’s progress and comprehension can be delivered. 

    Example: Knewton 

    The application of known learning technology in Knewton enhances student education by customizing content to them. Through tracking the learning process and a student’s engagement with the material, Knewton reconfigures the student learning trajectory so that each learner is presented with pertinent content to transform into meaningful knowledge and skills, without unnecessary pressure to cover a massive amount of information in a limited time. 

    Creating partnerships and use of experience referrals. 

    Connecting Learners 

    It also allows organizing student group work to increase the effectiveness of inter-group cooperation and learning. A typical characteristic of learning games is to provide artificial intelligence in-born social aspects; therefore, teamwork, discussions, and problem-solving among the students. 

    Example: Classcraft 

    Classcraft is an application that involves the use of artificial intelligence in teaching, particularly in the teaching of role-playing games. This causes a setting of roles and responsibilities where students have to willingly work together to accomplish set objectives and at the same time master new skills. 

    Supporting Teachers and Educators 

    Aiding Instruction 

    AI also assists the teachers because it offers feedback on the student’s performance and the sections that require improvement. Gamification in learning with competing AI can produce reports on students’ achievements which will assist the teachers to improve their approaches. 

    Example: Smart Sparrow 

    Smart Sparrow can be described as a learning application that can be used by educators to design engaging lessons. This in turn is helpful to tend for AI to further elaborate on the behaviors of students with the content that is set by the educator. 

    Looking Ahead: The Future of Learning Games

    Embracing Innovation

    With the future advancement of AI, the opportunity is huge for even more educational technology to be applied in learning games. It will be possible to see even more intelligent and effective learning experiences powered by AI that in addition to knowledge delivery will also be highly motivating and engaging. But the question is, adopting these innovations, how can we design learning to be not just efficient but also fun? 

    Given today’s technological advancements, the future looks promising for educational technology and; with the help of artificial intelligence, this field can advance even further. And there is no difference with games, all aspects including the learning experience, feedback and learning paths of an individual are poised to be changed by AI.

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    zestful Grace

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