The Teaching Design Methods Under Educational Psychology Based on Deep Learning and Artificial Intelligence

Abstract

This study aims to evaluate the practical application value of the teaching method under the guidance of educational psychology and artificial intelligence (AI) design, taking the deep learning theory as the basis of teaching design. The research objects of this study involve all the teachers, students, and students' parents of Ningbo Middle School. The questionnaires are developed to survey the changes in the performance of students before and after the implementation of the teaching design and the satisfaction of all teachers, students, and parents to different teaching methods by comparing the two results and the satisfaction ratings. All objects in this study volunteer to participate in the questionnaire survey. The results suggest the following: (1) the effective return rates of the questionnaires to teachers, students, and parents are 97, 99, and 95%, respectively, before implementation; whereas those after implementation are 98, 99, and 99%, respectively. Comparison of the two return results suggests that there was no significant difference statistically (P > 0.05). (2) Proportion of scoring results before and after implementation is given as follows: the proportions of levels A, B, C, and D are 35, 40, 15, and 10% before implementation, respectively; while those after implementation are 47, 36, 12, and 5%, respectively. After the implementation, the proportion of level A is obviously higher than that before the implementation, and the proportions of other levels decreased in contrast to those before the implementation, showing statistically obvious differences (P < 0.05). (3) The change in the performance of each subject after 1 year implementation is significantly higher than that before the implementation, and the change in the average performance of each subject shows an upward trend. In summary, (1) the comparison on the effective return rate of the satisfaction survey questionnaire proves the feasibility of its scoring results. (2) The comparison of the survey scoring results shows that people are more satisfied with the new educational design teaching method. (3) The comparison of the change in the performance of each subject before and after the implementation indirectly reflects the drawbacks of partial subject education, indicating that the school should pay the same equal attention to every subject. (4) Due to various objective and subjective factors, the results of this study may be different from the actual situation slightly, and its accuracy has to be further explored in the future.

Bibliometric Analysis: Artificial Intelligence (AI) in High School Education

“…The first research focus is deep learning and machine learning, along with research themes, namely Artificial Intelligence and middle school. Previous study have conducted research related to Artificial Intelligence which links with deep learning (Rong et al, 2022;Wang et al, 2021;Wu & Wang, 2022). Other study evaluates the practical application value of teaching methods under the guidance of educational psychology and Artificial Intelligence (AI) design, using deep learning theory as a basis for teaching design (Wang et al, 2021).…”

“…Previous study have conducted research related to Artificial Intelligence which links with deep learning (Rong et al, 2022;Wang et al, 2021;Wu & Wang, 2022). Other study evaluates the practical application value of teaching methods under the guidance of educational psychology and Artificial Intelligence (AI) design, using deep learning theory as a basis for teaching design (Wang et al, 2021). The research object of this research involved all teachers, students, and parents of Ningbo Middle School students.…”

Metaverse-Powered Experiential Situational English-Teaching Design: An Emotion-Based Analysis Method

“…In Xiao and Yi (2021) , the authors used AI to perform personalized education reform, analyze the information of students before entering colleges and universities, and propose a construction method of personalized AI-based training model. Based on the theory of deep learning, in Wang Z. et al (2021) , the authors evaluated the practical application value of teaching methods under the guidance of educational psychology and AI design. In Sun et al (2021) , the authors combined the AI module with knowledge recommendation and developed an online English-teaching system based on the general teaching assistant system.…”

PBL-Based Electronic Teaching Materials Using Flip PDF Corporate in Elementary Schools

“…In this context, learning is no longer limited to channeling information from teacher to students, but rather empowering students to become active and independent learners. Learning methods in this era combine advanced technologies such as artificial intelligence, data analysis, virtual reality and the Internet of Things to create learning experiences that are more interactive, personalized and connected to the real world (Robandi et al, 2019;Wang et al, 2021). Education 4.0 encourages approaches such as flipped classes, where students acquire learning content through online resources prior to class meetings, and in-class time is used for in-depth discussion, collaboration, and problem solving.…”