Computer Vision in Advanced Education
A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Smart System Infrastructure and Applications".
Deadline for manuscript submissions: closed (30 June 2022) | Viewed by 3746
Special Issue Editor
Interests: computer vision; artificial intelligence; intelligent system; complexity; nonlinear dynamics; fractals
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Recent years have seen significant improvements in information technology, such as 5G and high-speed web, which have led to the introduction of an advanced form of education using artificial intelligence (AI). While advanced education has been of interest to the research community for a while, the way the COVID-19 pandemic swept across the world, halting traditional education, led to increased attention on advanced education.
As is well known, new trends in education require novel technologies. Computer vision (CV) is a hotspot research domain in AI and one of the research directions closest to industrialization, so its application in advanced education is an important research domain for both the fields of AI and education.
The application prospects of computer vision in education are very promising; however, there is a number of challenges associated with this endeavor, which require much time and energy to solve. For example, automatic evaluation of objective tests needs handwriting recognition, and evaluation of subjective tests needs semantic understanding of the answer. Additionally, computer vision can be used to recognize the expressions and actions of students, which can infer students’ participation in the education. Moreover, computer vision can be used in educational technology, allowing students to more readily acquire knowledge and making abstract knowledge more intuitive.
Indeed, more effective applications are needed to solve the issues present in this area, and this Special Issue aims to provide an opportunity for researchers to publish their theoretical and technological studies on emerging theories in computer-vision-based intelligent education and their novel engineering applications within this domain. Surveys are also welcome.
Dr. Shuai Liu
Guest Editor
Manuscript Submission Information
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Keywords
- computer vision
- educational technology
- intelligent educational system
- visual recognition
- visual understanding
- learning quality
- online education
- automatic education system
