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In this review paper, we seek insights into three critical questions: (1) What are the primary categories of AI applications explored in the education field? (2) What are the predominant research topics and their key findings? (3) What is the status of major research design elements, including guiding theories, methodologies, and research contexts?
- AI technologies for education: Recent research & future directions
With the thrive of AI technology, its applications in...
- AI technologies for education: Recent research & future directions
1 ian. 2021 · With the thrive of AI technology, its applications in education have been increasing, with promising potentials to provide customized learning, to offer dynamic assessments, and to facilitate meaningful interactions in online, mobile or blended learning experiences.
24 apr. 2023 · This systematic review provides unique findings with an up-to-date examination of artificial intelligence (AI) in higher education (HE) from 2016 to 2022. Using PRISMA principles and protocol, 138 articles were identified for a full examination.
This abstract provides an overview of the impact of AI on students' learning experience, highlighting its benefits and potential challenges.
27 iun. 2024 · Artificial intelligence (AI) has numerous benefits in science education, profoundly affecting teaching and learning for science subjects. AI programs can study how students learn and change the material to fit each student’s needs, skills, and the way they learn.
2 mai 2023 · This paper explores AI's potential benefits and risks in education, including personalized learning, improved assessment, reduced planning time for teachers, and the risk of cheating.
1 feb. 2024 · For instance, the review discusses interalia a range of AI-related effects on learning from the need for creative prompts, training on diverse datasets and genres, incorporation of human input and data confidentiality and elimination of bias.
