Stable Parallel Algorithms for Interdisciplinary Computer-Based Online Education with Real Problem Scenarios for STEM Education

Liangfu Jiang,Haoran Yuan

doi:10.1155/2021/5432703

Liangfu Jiang, Haoran Yuan

Open Access

https://doi.org/10.1155/2021/5432703

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Abstract

In this paper, we analyse and study the interdisciplinary style of stable parallel algorithms for online computer education and real problem scenarios for STEM education. Under the guidance of the STEM concept, the project theme is designed based on the principles of project design, and the interdisciplinary knowledge points related to the theme are determined. Based on the project theme, the teaching design model of the STEM-based robotics project was constructed. The analysis of the results showed that the STEM-based middle-school robotics project not only increased students’ interest in robotics but also promoted their creativity, problem-solving, teamwork, and communication skills, as well as their learning of other subjects. In this paper, an adaptive overflow-aware loss amplification strategy is proposed, which effectively alleviates the training nonconvergence problem caused by gradient overflow in mixed accuracy training. Also, this paper demonstrates that data-parallel training under multiple machines and multiple cards should use local batch normalization, which is particularly effective in accelerating neural networks containing more batch normalization layers.

Highlights

STEM education is a relatively new teaching approach and teaching concept, which takes the enhancement of students’ STEM literacy as the core task and differs from traditional subdisciplinary knowledge education in that STEM education is an integrated inquiry education [1]
Educational practices in various countries show that STEM education helps to develop students’ essential knowledge skills including innovative consciousness, critical thinking, and problem-solving ability
By using STEM education concepts to guide the development of robotics education, we can integrate it with disciplinary knowledge and provide a new way of thinking about robotics teaching. e most widely used curriculum model in elementary and secondary schools is the compartmentalized model, which lacks interconnectedness between disciplines, and STEM education provides a curriculum design that integrates multiple disciplines to make up for this deficiency. e classroom activities in traditional education are teacher-cantered full-time classes and face-to-face instruction [3]. is teaching method allows for more systematic teaching, more efficient learning for students, a good learning environment, and adequate communication and exchange with classmates

Summary

Introduction

STEM education is a relatively new teaching approach and teaching concept, which takes the enhancement of students’ STEM literacy as the core task and differs from traditional subdisciplinary knowledge education in that STEM education is an integrated inquiry education [1].

Results

Conclusion