The impact of artificial intelligence on students’ academic development, critical thinking, cognitive skills, and learning outcomes
Abstract
The adoption of Artificial Intelligence (AI) in educational fields has developed a great potential and problem related to the academic progress, critical thinking, mental abilities, and final student results. The increased application of generative AI, intelligent tutoring machines, adaptive learning systems, predictive analytics, and AI-assisted learning tools have altered the traditional learning environment, although issues have been raised about over-reliance on technology, lower-level thinking, algorithm biases and academic dishonesty. This literature review was a systematic investigation of recent articles relevant to the topic of Artificial Intelligence in Education (AIEd) and its effects on student engagement, academic achievement, cognitive growth, and learning customization. The focus was on emerging trends as ChatGPT in education, machine learning in education, educational data mining, personalized feedback, and smart classrooms. The review established that AI-assisted learning and individualized instructional setting have a positive effect on knowledge retention, student motivation, self-regulated learning, digital literacy, and problem-solving abilities. Learning analytics and adaptive learning systems enhance the quality of academic outcomes by providing personalized learning channels and real-time feedback. The results suggest that over-dependence on AI tools can negatively affect critical thinking, creativity, metacognition, and independent reasoning in case the pedagogy does not carefully incorporate it. The concern increasing on algorithmic bias, cognitive load, ethical issues, and the impact of large language models on academic integrity were also identified as a major concern in the review.
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References
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