As a consequence of ChatGPT’s emergence, the education field faces a major challenge. The need for a flexible and adaptive educational system is increasingly pressing. While education remains to be a place of innovation and progress, artificial intelligence and big data have emerged as two pivotal technological advancements. Through the application of artificial intelligence and big data analytics, which model patterns of our intelligence as humans to infer, adjudicate, or predict, Intelligent Tutoring Systems can analyze student performance data. This scrutiny provides an adaptive learning path for each learner based on their individual skills and abilities. This not only enhances learner performance and engagement but also contributes to bridging the learning gap for students. The aim is to guarantee equitable access to all the personalized resources for mastering their learning journey. Real-time adaptation is facilitated through student modeling where inferences are drowned from the learner’s actions during a learning process. This paper discusses the concept of adaptive learning and its transformative potential in the field of education. It also underscores the significance of AI and big data in facilitating adaptive learning and addressing the achievement gap.

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Addressing the Learning Gap with Adaptive Learning

  • Soukaina Hakkal,
  • Ayoub Ait Lahcen

摘要

As a consequence of ChatGPT’s emergence, the education field faces a major challenge. The need for a flexible and adaptive educational system is increasingly pressing. While education remains to be a place of innovation and progress, artificial intelligence and big data have emerged as two pivotal technological advancements. Through the application of artificial intelligence and big data analytics, which model patterns of our intelligence as humans to infer, adjudicate, or predict, Intelligent Tutoring Systems can analyze student performance data. This scrutiny provides an adaptive learning path for each learner based on their individual skills and abilities. This not only enhances learner performance and engagement but also contributes to bridging the learning gap for students. The aim is to guarantee equitable access to all the personalized resources for mastering their learning journey. Real-time adaptation is facilitated through student modeling where inferences are drowned from the learner’s actions during a learning process. This paper discusses the concept of adaptive learning and its transformative potential in the field of education. It also underscores the significance of AI and big data in facilitating adaptive learning and addressing the achievement gap.