Research and Innovation of Interior Design Teaching Method Based on Artificial Intelligence Technology “Promoting Teaching with Competition”

Cao, Hongxin; Li, Hui

doi:10.1007/978-981-16-8052-6_99

Cited by 3 publications

(2 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For this reason, they are transversal to the single disciplines to which the simple learning contents can be attributed. The analysis of the case studies contained in the analyzed papers reveals a broad distribution across the different fields of knowledge: Anatomy (Abdellatif et al, 2022), Proportional Reasoning (Nye et al, 2021), English and other foreign language teachings (He, 2021;Faustino and Kaur, 2022;Liu and Huang, 2022), Microbial Metabolism (Schroeder et al, 2022), Psychology (Schroeder et al, 2022), Interior Design teaching (Cao and Li, 2022), Social Work Education (Hodgson et al, 2021), Engineering Education (Megahed et al, 2022), Music Design (Dai, 2021), Scientific Writing (Kim and Kim, 2022), Programming Languages (Yusupova et al, 2022), and Translation teaching (Yang, 2022).…”

Section: Teaching Contentmentioning

confidence: 99%

“…The picture that emerges from the literature clearly shows how the figure of the teacher today is not sufficiently trained and equipped to deal with the new role that the AI era imposes on them. The most common problem that emerges from the analysis of the papers is precisely the low level (and in some cases the absence) of adequate digital skills (Hou, 2020;Edwards, 2021;Wang C, 2021;Ahmed et al, 2022;Bucea-Manea-oniş et al, 2022;Cao and Li, 2022;Kim and Kim, 2022;Yang, 2022;Dimitriadou and Lanitis, 2023). Whether it stems from the age of the teaching class, or from the habit of using more traditional media and methodologies, today's teachers are not up-to-date with the latest technologies (especially AI-based ones) and rarely have adequate knowledge of the tools available within their subject area.…”

Section: Teachers' Professional Developmentmentioning

confidence: 99%

See 1 more Smart Citation

Do we still need teachers? Navigating the paradigm shift of the teacher's role in the AI era

et al. 2023

View full text Add to dashboard Cite

Through a systematic analysis of the literature, this study analyzes the change in the teacher's role triggered by the integration of AI into educational systems. The picture offered by the systematic analysis of the literature conducted in this study reveals a less than total awareness of the urgency with which the challenges imposed by AI in the educational field must be addressed. We propose a manifesto to guide the evolution of the teachers' role according to the paradigm shift concept proposed by Kuhn in the scientific field.

show abstract

Section: Teaching Contentmentioning

confidence: 99%

Section: Teachers' Professional Developmentmentioning

confidence: 99%

Do we still need teachers? Navigating the paradigm shift of the teacher's role in the AI era

et al. 2023

View full text Add to dashboard Cite

show abstract

Practical Research on Talent Cultivation Mode of First-class Professionals in Environmental Design under the Background of Artificial Intelligence

Chen,

Wu,

Wei

2024

Applied Mathematics and Nonlinear Sciences

View full text Add to dashboard Cite

Starting from the basic principles of talent cultivation mode, this paper proposes a reform strategy to optimize the talent cultivation mode of environmental design with the help of intelligent technology in order to improve the quality of talent cultivation and achieve the “first-class” level for the current talent cultivation mode of environmental design majors. The necessity of an intelligent database in environmental design teaching is analyzed, and the improved TF-IDF algorithm and automatic classification algorithm of resources are proposed to improve the search for teaching resources for environmental design majors. Then, based on the query, the teaching resource recommendation model (UBM) is proposed. An algorithmic comparison between the improved TF-IDF method and the UBM model is carried out to verify the effectiveness of the improved algorithmic model. Combining the traditional talent training model results with the intelligent technology-assisted talent training model results for independent samples of the T-value test. T-value test results show that the F-value is 0.317, the Sig-value is 0.782>0.05, and the significance corresponding to the ANOVA t-test value is 0.009<0.05. It indicates that there is a significant difference in the final examination results for environmental design in the classes of the experimental and control groups. It means that after one semester of intelligent technology-assisted teaching practice, the professional performance of environmental design students improves, which contributes to the cultivation of first-class professional talents. The use of an intelligent database can be one of the effective ways of cultivating talent.

show abstract

Trade-off Analysis in Strengthening the Criteria for Master Teacher Promotion

Garzon,

Daguplo,

Casinillo

et al. 2024

Div Journ

View full text Add to dashboard Cite

Effective master teachers constitute a valuable human resource playing a significant role not only as instructional leaders but also as educational researchers. However, the pressing demands of quality education alongside changing policies call for the need to ensure that these leaders meet competitive standards. Using the developmental-evaluative design, this study which is anchored on Criterion Theory, aims to enhance the existing criteria of the Department of Education (DepEd) in screening, selecting, and hiring Master Teacher applicants. Delphi technique and trade-offs analysis with ten expert respondents derived nine new and consensually evaluated measures (research training, research conference, publication, INSET/LAC, completed researches, best practices/innovations, qualifying examination, master's degree & awards) comprising the "Enhanced Criteria for Master Teacher Promotion" at 70-point cut-off qualification. The discriminant function model constituted data from 60 Master Teachers in the Maasin City Division and confirmed discriminatory success at 91.78% variability during model validation of 15 Master Teachers. Thus, the new criteria demonstrate the potential to assure the DepEd of competent and quality instructional leaders that the country needs today. This study recommends the adoption of the enhanced criteria as a policy. However, further evaluation is necessary to strengthen its validity before its full implementation.

show abstract

Research and Innovation of Interior Design Teaching Method Based on Artificial Intelligence Technology “Promoting Teaching with Competition”

Cited by 3 publications

References 8 publications

Do we still need teachers? Navigating the paradigm shift of the teacher's role in the AI era

Do we still need teachers? Navigating the paradigm shift of the teacher's role in the AI era

Practical Research on Talent Cultivation Mode of First-class Professionals in Environmental Design under the Background of Artificial Intelligence

Trade-off Analysis in Strengthening the Criteria for Master Teacher Promotion

Contact Info

Product

Resources

About