Development of Intelligent Teaching System Based on 3D Technology in the Course of Digital Animation Production

Ji, Yuanyuan; Liu, Yajuan

doi:10.3991/ijet.v11i09.6116

Cited by 4 publications

(4 citation statements)

References 7 publications

(9 reference statements)

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“…intelligent agents (Li, 2007;Ng et al, 2011). The most general terms used are intelligent e-learning system (Kose & Arslan, 2016), adaptive web-based learning system (Lo, Chan, & Yeh, 2012), or intelligent teaching system (Yuanyuan & Yajuan, 2014). As in ITS, most of the studies either describe the system or include a pilot study but no longer-term results are reported.…”

Section: Assessment and Evaluationmentioning

confidence: 99%

“…Teaching course content The disciplines that are taught through adaptive systems are diverse, including environmental education (Huang, 2018), animation design (Yuanyuan & Yajuan, 2014), language learning (Jia, 2009;Vlugter et al, 2009), Computer Science (Iglesias, Martinez, Aler, & Fernandez, 2009) and Biology (Chaudhri et al, 2013). Walsh, Tamjidul, and Williams (2017), however, present an adaptive system based on machine learning-human machine learning symbiosis from a descriptive perspective, without specifying any discipline.…”

Section: Assessment and Evaluationmentioning

confidence: 99%

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Systematic review of research on artificial intelligence applications in higher education – where are the educators?

Zawacki‐Richter

Marín

Bond

et al. 2019

Int J Educ Technol High Educ

1,326

468

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According to various international reports, Artificial Intelligence in Education (AIEd) is one of the currently emerging fields in educational technology. Whilst it has been around for about 30 years, it is still unclear for educators how to make pedagogical advantage of it on a broader scale, and how it can actually impact meaningfully on teaching and learning in higher education. This paper seeks to provide an overview of research on AI applications in higher education through a systematic review. Out of 2656 initially identified publications for the period between 2007 and 2018, 146 articles were included for final synthesis, according to explicit inclusion and exclusion criteria. The descriptive results show that most of the disciplines involved in AIEd papers come from Computer Science and STEM, and that quantitative methods were the most frequently used in empirical studies. The synthesis of results presents four areas of AIEd applications in academic support services, and institutional and administrative services: 1. profiling and prediction, 2. assessment and evaluation, 3. adaptive systems and personalisation, and 4. intelligent tutoring systems. The conclusions reflect on the almost lack of critical reflection of challenges and risks of AIEd, the weak connection to theoretical pedagogical perspectives, and the need for further exploration of ethical and educational approaches in the application of AIEd in higher education.

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Section: Assessment and Evaluationmentioning

confidence: 99%

Section: Assessment and Evaluationmentioning

confidence: 99%

Systematic review of research on artificial intelligence applications in higher education – where are the educators?

Zawacki‐Richter

Marín

Bond

et al. 2019

Int J Educ Technol High Educ

1,326

468

View full text Add to dashboard Cite

show abstract

“…The creation of a three-dimensional mesh is what Modeling refers to, regardless of whether the end product is a bug-eyed extraterrestrial or a teacup. The steps you take to complete that model are primarily determined by the strategies that make the most intuitive sense to you as an individual (Ji & Liu, 2016).…”

Section: Different Varieties Of 3d Artworkmentioning

confidence: 99%

Photo-Realistic 3D Models and Animations for Video Games and Films

Hosen,

Thaduri,

Ballamudi

et al. 2021

Eng. int. (Dhaka)

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Realistic 3D objects are challenging to create. A detailed creation requires care if we can make remarkable detail and realism using techniques and a solid reference photo. In this post, we may learn how to construct beautiful, realistic scene objects using comprehensive procedures. This article shows how to use the Pen Tool and Blending Options to create a 3D animated scene. This work teaches simple Layer Styles to create beautiful shadows, lights, textures, and a realistic 3D feel. This work also shows how attractive illumination and rendering options may produce a natural scene. This article also shows how to make photo-realistic 3D models from digital images. This work teaches Illustrator pathways, texturing, essential lighting and rendering, texture application, and building and object parenting. This approach might even reconstruct tiny features or 3D items from 2D images. After a critical art stage, we can present the architecture of an animation design technique in this article. The goal is a conceptual and methodological lesson to approach this topic scientifically and practically. This goal also includes developing a scientifically sound paradigm to help comprehend realistic animation processes.

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“…Reason for this is traditional teaching methods are still used for 3D animation production course which is a discipline keeping pace with the times and having strong practical property. But using previous old teaching software has seriously restricted and prevented teaching quality improvement [3]. Detailed manifestations are: (1) Teaching method is still conservative.…”

Section: Introductionmentioning

confidence: 99%

Construction of SOA Based VR Technology in Animation Teaching

Qin

Tao

2018

Int. J. Emerg. Technol. Learn.

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Abstract-3D animation production is an animation course widely set up in colleges currently aiming at cultivating 3D animation production talents. But in actual teaching, there exist problems of teaching practice not prominent, teaching not intuitive, and students' learning interest not strong. Based on this condition, this paper plans to use SOA design and VR technology in teaching system design with the help of good information integration, service integration function of SOA design and advantages of VR technology of directly and dynamically reflecting object forms so as to improve teaching interesting-ness and intuition, help students to increase knowledge and improve teaching quality in relaxed atmosphere. Finally, this paper presents teaching effect comparison experiments which show that the virtual teaching system designed and developed in this paper can improve students' learning activity, teacher-student communication and obtain better teaching effect.

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Development of Intelligent Teaching System Based on 3D Technology in the Course of Digital Animation Production

Cited by 4 publications

References 7 publications

Systematic review of research on artificial intelligence applications in higher education – where are the educators?

Systematic review of research on artificial intelligence applications in higher education – where are the educators?

Photo-Realistic 3D Models and Animations for Video Games and Films

Construction of SOA Based VR Technology in Animation Teaching

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