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1 ian. 2021 · This article reports the current state of AIEd research, highlights selected AIEd technologies and applications, reviews their proven and potential benefits for education, bridges the gaps between AI technological innovations and their educational applications, and generates practical examples and inspirations for both technological experts ...
- Smarttutor
The Course Manager is the control center of SmartTutor. It...
- Predicting At-Risk University Students in a Virtual Learning Environment Via a Machine Learning Algorithm
The Open University Learning Analytics (OULA) dataset...
- Provision of Awareness of Learners' Emotions Through Visualizations in a Computer Interaction-Based Environment
The timeline visualization (Fig. 1) presents the...
- Intelligent Agent Supported Personalization for Virtual Learning Environments
In summary, Table 1 presents a history of intelligent online...
- Polite Web-Based Intelligent Tutors
Table 2 provides an outline of the materials and procedure...
- On Parallel Hybrid-Electric Propulsion System for Unmanned Aerial Vehicles
1. Introduction. An Unmanned Aerial Vehicle (UAV) is a...
- Siri, Siri, in My Hand
To classify different types of AI, specifically regarding...
- Smarttutor
The increasing integration of AI technologies in education has led to growing ethical risks and concerns, including issues related to personal data privacy, algorithm biases, and learner and educator autonomy (Akgun and Greenhow, 2022, Boulay, 2023, Wells, 2023).
The integration of artificial intelligence (AI) in education brings forth numerous benefits that positively impact students' learning experiences. This section highlights some of the...
24 apr. 2023 · 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.
In this exploration of the pros and cons of AI in education, we delve into potential benefits ranging from teaching assistance to individualized learning, while also shedding light on the ethical considerations surrounding bias, misinformation, and the future of educators’ roles.
7 mar. 2019 · It features cases studies on how AI technology is helping education systems use data to improve educational equity and quality. Concrete examples from countries such as China, Brazil and South Africa are examined on AI’s contribution to learning outcomes, access to education and teacher support.
Research and Development: AI systems and tools must account for the context of teaching and learning and must work well in educational practice, given variability in students, teachers, and settings. Recommendations: Use of AI systems and tools must be safe and effective for students.
