Based on the Application of Deep Learning in College Education Evaluation

Abstract

The most significant material in teaching quality assessment is the teacher’s teaching evaluation; nevertheless, as education informatization accelerates, the current teaching management challenge is how to use network technology to evaluate instructors’ teaching quality in conventional teaching. The question of how to evaluate the network teaching environment is a crucial issue in the development of network teaching. The key to educational evaluation lies in the quality of teaching. Therefore, the effective processing and analysis of the huge original data collected in the teaching process of colleges and universities can provide decision support for the evaluation of teaching quality and the formulation of relevant improvement measures. Given the variety and large quantity of original teaching data, this paper proposes a deep learning-based teaching quality evaluation model that organically integrates various original data by constructing deep neural networks and can achieve more accurate teaching quality evaluation, which has practical value. Education evaluation is a complex system engineering, which needs to consume a lot of manpower, material, and financial resources. Through the use of the system to obtain a large number of statistical data, it will provide a basis for in-depth analysis and decision-making.

Design And Realization of A Comprehensive Quality Assessment System for College Students Based on the Bp Neural Network

“…Input data for individual students are fed into the trained neural network, which generates predictions or assessments based on the learned patterns. These assessments can provide valuable insights into students' strengths, areas for improvement, and overall development trajectory [17]. Continuous monitoring and refinement are crucial aspects of maintaining the effectiveness and accuracy of the assessment system.…”

Reform of University Students' Education Evaluation System Breaking "Five Only" in the New Digital Era

“…Ashwin and Guddeti [9] used convolutional neural network knowledge to carry out the research in terms of the data of education and student learning status. An [10] used in-depth learning method to build a teacher and student teaching quality evaluation index system. On the other hand, digital technology [11] can cross time and space constraints, integrate and manage effectively multiple heterogeneous things, explore common issues in education from a systematic perspective, improve education quality methods, and promote information flow and collaboration between different roles.…”

Retracted: Based on the Application of Deep Learning in College Education Evaluation

“…Tis article has been retracted by Hindawi following an investigation undertaken by the publisher [1]. Tis investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process:…”