<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>In this paper, we first define the limb node coordinates through the established limb node coordinate system and evaluate the behavior of the human body through the constructed posture sequence to analyze the human body’s body characteristics, such as the area of concern and the emotional level. Then, a new model of landscape theme course teaching was designed based on AI interaction design technology, the human-computer interaction learning needs were analyzed, and a human-computer interaction landscape course learning system was established. Finally, the differences in students’ cognitive ability, learning motivation, and learning emotion under the AI interactive teaching environment and traditional teaching methods were compared, and the advantages of AI interactive teaching were analyzed. The results show that the SD value of students’ behavioral attitudes in the teaching mode based on interactive technology is 27.78±2.34, which is more than the SD value of the ordinary teaching mode.2 In terms of goal attitudes, the SD value of the experimental class is about 4.05 more than that of the control class, and the difference is significant. The interactive teaching mode of AI effectively promotes students’ learning of the landscape topic course, and this study provides positive reference value.</p>
</abstract>

In this paper, we first define the limb node coordinates through the established limb node coordinate system and evaluate the behavior of the human body through the constructed posture sequence to analyze the human body’s body characteristics, such as the area of concern and the emotional level. Then, a new model of landscape theme course teaching was designed based on AI interaction design technology, the human-computer interaction learning needs were analyzed, and a human-computer interaction landscape course learning system was established. Finally, the differences in students’ cognitive ability, learning motivation, and learning emotion under the AI interactive teaching environment and traditional teaching methods were compared, and the advantages of AI interactive teaching were analyzed. The results show that the SD value of students’ behavioral attitudes in the teaching mode based on interactive technology is 27.78±2.34, which is more than the SD value of the ordinary teaching mode.2 In terms of goal attitudes, the SD value of the experimental class is about 4.05 more than that of the control class, and the difference is significant. The interactive teaching mode of AI effectively promotes students’ learning of the landscape topic course, and this study provides positive reference value.

Application of AI Interaction Design in the Teaching Model of Landscape Topics Course

Chongqing University of Science & Technology

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

In this paper, we first define the limb node coordinates through the established limb node coordinate system and evaluate the behavior of the human body...

Application of AI Interaction Design in the Teaching Model of Landscape Topics Course

Online veröffentlicht: 16. Dez. 2023

Seitenbereich: -

Eingereicht: 15. Feb. 2023

Akzeptiert: 26. Juni 2023

DOI: https://doi.org/10.2478/amns.2023.2.01486

Schlüsselwörter
AI interaction design, Limb node characteristics, Postural sequence, Behavioral assessment, Landscape thematic course

© 2023 Yangxiaoxiao Zhou et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Application of AI Interaction Design in the Teaching Model of Landscape Topics Course

Online veröffentlicht: 16. Dez. 2023

Seitenbereich: -

Eingereicht: 15. Feb. 2023

Akzeptiert: 26. Juni 2023

DOI: https://doi.org/10.2478/amns.2023.2.01486

SchlüsselwörterAI interaction design, Limb node characteristics, Postural sequence, Behavioral assessment, Landscape thematic course

© 2023 Yangxiaoxiao Zhou et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
AI interaction design, Limb node characteristics, Postural sequence, Behavioral assessment, Landscape thematic course