Exploration of the Practice and Innovation Ability Training Mode of Internet of Things Engineering Students under the Background of New Engineering

Luo, Chao; Zhang, Zhichang; Hao, Zhanjun; Kang, YunZhu; Yin, An

doi:10.1109/icise51755.2020.00159

Cited by 1 publication

(1 citation statement)

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“…Amongst these, the one predicted to deliver the highest teaching quality emerges as the frontrunner, marking it as the optimized result.The amalgamation of deep learning with evolutionary algorithms signifies a paradigm shift in how we approach teaching plan optimization. It underscores the potential of harnessing advanced computational techniques to drive intelligent, data-informed decisions in the educational sector [3] .…”

Section: Deep Learning Optimization Of Teaching Planmentioning

confidence: 99%

Innovative Practices in the Teaching Model of University Arts Majors in the Context of the Internet+ Era

Chen,

Wei,

Yao

et al. 2024

Proceedings of the 3rd International Conference on New Media Development and Modernized Education, NMDME 2023, October 13–15, 2

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In the evolving landscape of the "Internet+" era, traditional teaching methods in higher education are under scrutiny for possible enhancements. This study specifically targets the pedagogical strategies of university horticulture majors, seeking innovative ways to augment their efficacy. By devising a comprehensive teaching quality evaluation model, we assess existing practices and their outcomes. To further our endeavors, we harness the capabilities of deep learning technology, aiming for an intelligent optimization of the horticultural teaching curriculum. Preliminary research revealed several areas for potential improvement, leading to the integration of a more case-based teaching approach, broader practical sessions, and a bolstered emphasis on corporate internships. These enhancements, as results indicate, can markedly improve teaching quality. Beyond the immediate findings, this study underscores the vast potential of integrating advanced information technology in pedagogical planning. By leveraging these tools, educators can adopt a data-driven approach to refine teaching plans, ensuring that students receive an education that is both contemporary and effective in the "Internet+" era.

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Section: Deep Learning Optimization Of Teaching Planmentioning

confidence: 99%