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Artificial intelligence (AI) in education (AIED) has evolved into a substantial body of literature with diverse perspectives. 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?
- 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 · 64 Altmetric. Metrics. Abstract. 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.
27 iun. 2024 · The results revealed that AI-powered tools are integrated into science education to achieve various pedagogical benefits, including enhancing the learning environment, creating quizzes, assessing students’ work, and predicting their academic performance.
6 mar. 2024 · March 6, 2024. AI-generated images can be eye-catching, but do they actually help your students learn? Stunning graphics grab people’s attention, but research shows they don’t always boost learning. In fact, images with distracting or irrelevant details may hurt students’ understanding. So, how can you pick the right visuals for your teaching?
18 oct. 2023 · The introduction of artificial intelligence has opened up a new road for educational advancement, but students must also increase the creative play of professional education at the same time....
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.
