Application of Intelligent Information Technology in the Reform of Hybrid Teaching Courses in Colleges and Universities

Huang, Yushu; Yao, Jinxiu; Huang, Guanhang

doi:10.1088/1742-6596/1852/2/022065

Cited by 3 publications

(2 citation statements)

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“…Organized, planned, and clear learning goals are organically combined to achieve a teaching model that complements the advantages of the two [12]. Tang [13] believes that the blended teaching model from its most fundamental point of view is to combine the various advantages of traditional teaching with the various advantages of information-based teaching to develop into a relatively novel teaching mode. In the process design research of blended teaching, almost all researchers divide the design process into three stages: pre-class, in-class, and after-class, but the specific curriculum application tools are different.…”

Section: Related Workmentioning

confidence: 99%

Teaching Design of “Three-Dimensional” Blended Ideological and Political Courses from the Perspective of Deep Learning

Hui

2022

Security and Communication Networks

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Since the increasing development of information technology, its integration and curriculum resources have become a new point of view in education and teaching reform. As a result, educational concepts, teaching models, and learning methods have been changed. Moreover, new requirements for the teaching reform of ideological and political courses in colleges and universities have also been put forward. Aiming at the current educational mechanism of ideological education courses in colleges and universities, which has a single form, is not well targeted and lacks synergy. This paper studies and establishes a brand-new three-dimensional hybrid education concept. The characteristics of this concept include (1) timeliness; that is, the basic views of Marxism are unified with the characteristics of the times; (2) pertinence, that is, the combination of ideological education and the characteristics of the students’ growth stage; (3) openness; that is, the new curriculum content and creative thinking are connected. Therefore, the three-dimensional hybrid teaching that combines networked teaching with the traditional teacher-centered teaching model has become an inevitable trend of classroom teaching reform at this stage. This paper develops a college ideological education course recommendation system based on deep learning, based on a hybrid collaborative filtering algorithm, and by introducing the effectiveness of the gradually forgetting curve based on changes in user feature, it better solves the shortcomings of traditional collaborative filtering algorithms, such as low efficiency and weak adaptability. Further, a corresponding recommendation system for ideological guidance courses in colleges and universities has been developed. The system runs stably and has strong practicability and robustness. It is of positive significance for creating an ideological and educational atmosphere with different forms and innovation for teachers and students.

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Section: Related Workmentioning

confidence: 99%

Teaching Design of “Three-Dimensional” Blended Ideological and Political Courses from the Perspective of Deep Learning

Hui

2022

Security and Communication Networks

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“…By integrating network information technology into classroom instruction, it enhanced teaching quality. This work done by Huang et al [1] focused on reforming the Modern Educational Information and Technology course through both online and offline methods. Through analysis of 50 questionnaires, it shed light on the efficacy of this approach.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Student Behavior Detection Algorithm Based on Improved SSD Algorithm

CAO,

LIU

2024

ijacsa

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Despite advancements in educational technology, traditional action recognition algorithms have struggled to effectively monitor student behavior in dynamic classroom settings. To address this gap, the Single Shot Detector (SSD) algorithm was optimized for educational environments. This study aimed to assess whether integrating the Mobilenet architecture with the SSD algorithm could improve the accuracy and speed of detecting student behavior in classrooms, and how these enhancements would impact the practical implementation of behavior-monitoring technologies in education. An improved SSD algorithm was developed using Mobilenet, known for its efficient data processing capabilities. A dataset of 2,500 images depicting various student behaviors was collected and enhanced through preprocessing methods to train the model. The optimized SSD model outperformed traditional algorithms in accuracy and speed, thanks to the integration of Mobilenet. Evaluation metrics such as precision, recall, and frames per second (fps) confirmed the superior performance of the Mobilenet-enhanced SSD algorithm in real-time environmental analysis. This advancement represents a significant improvement in surveillance technologies for educational settings, enabling more precise and timely assessments of student behavior. Despite the promising outcomes, the study faced limitations due to the uniformity of the dataset, which mainly consisted of controlled environment images. To improve the generalizability of the findings, it is suggested that future research should broaden the dataset to encompass a wider range of educational settings and student demographics. Additionally, it is encouraged to explore alternative advanced machine learning frameworks and conduct longitudinal studies to evaluate the influence of real-time behavior monitoring on educational outcomes.

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Evaluation Method of Higher Vocational Online Education Effect Based on Data Mining Algorithm

Niu,

Wang

2024

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Application of Intelligent Information Technology in the Reform of Hybrid Teaching Courses in Colleges and Universities

Cited by 3 publications

References 1 publication

Teaching Design of “Three-Dimensional” Blended Ideological and Political Courses from the Perspective of Deep Learning

Teaching Design of “Three-Dimensional” Blended Ideological and Political Courses from the Perspective of Deep Learning

Optimization of Student Behavior Detection Algorithm Based on Improved SSD Algorithm

Evaluation Method of Higher Vocational Online Education Effect Based on Data Mining Algorithm

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