Evaluation Method of Teaching Quality of Ecological Sports Tourism Courses Based on Improved Ant Colony Algorithm

In the evaluation of teaching quality in ecological sports tourism courses, due to limited evaluation resources and outdated evaluation techniques, it is difficult to establish a scientific evaluation system, resulting in inconsistent evaluation standards and excessive subjectivity in the evaluation process, making it difficult to achieve ideal teaching quality evaluation results. Therefore, a method for evaluating the teaching quality of ecological sports tourism courses based on improved ant colony algorithm is proposed. The existing teaching quality evaluation methods have problems such as inconsistent evaluation standards and overly subjective evaluation processes due to the lack of a scientific evaluation system. To improve the effectiveness of teaching quality evaluation, this study proposes a research on the evaluation method of ecological sports tourism teaching quality based on improved ant colony algorithm. Firstly, select teaching evaluation indicators and analyze the contribution of different indicators to calculate weights. Then, the improved ant colony algorithm is applied to traverse the teaching data, obtain the score that best matches the actual teaching quality evaluation indicators, and finally calculate the teaching quality evaluation score of the ecological sports tourism course to obtain the real teaching quality evaluation results. The experimental results show that this method can scientifically evaluate the teaching quality of ecological sports tourism courses, and the application effect is good.

Authors

Institutions

Publication Details

Published
2025-02-21
DOI
https://doi.org/10.1145/3732299.3732308
Primary Topic
Advanced Technologies in Various Fields
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluation Method of Teaching Quality of Ecological Sports Tourism Courses Based on Improved Ant Colony Algorithm

Zhiqiang Wang, Xiangyu Xu
Advanced Technologies in Various Fields
article

Evaluation Method of Teaching Quality of Ecological Sports Tourism Courses Based on Improved Ant Colony Algorithm

Zhiqiang Wang, Xiangyu Xu
article en

Abstract

In the evaluation of teaching quality in ecological sports tourism courses, due to limited evaluation resources and outdated evaluation techniques, it is difficult to establish a scientific evaluation system, resulting in inconsistent evaluation standards and excessive subjectivity in the evaluation process, making it difficult to achieve ideal teaching quality evaluation results. Therefore, a method for evaluating the teaching quality of ecological sports tourism courses based on improved ant colony algorithm is proposed. The existing teaching quality evaluation methods have problems such as inconsistent evaluation standards and overly subjective evaluation processes due to the lack of a scientific evaluation system. To improve the effectiveness of teaching quality evaluation, this study proposes a research on the evaluation method of ecological sports tourism teaching quality based on improved ant colony algorithm. Firstly, select teaching evaluation indicators and analyze the contribution of different indicators to calculate weights. Then, the improved ant colony algorithm is applied to traverse the teaching data, obtain the score that best matches the actual teaching quality evaluation indicators, and finally calculate the teaching quality evaluation score of the ecological sports tourism course to obtain the real teaching quality evaluation results. The experimental results show that this method can scientifically evaluate the teaching quality of ecological sports tourism courses, and the application effect is good.

Xi'an Siyuan University (CN)
Education Department of Shaanxi Province
Decent work and economic growth
Openalex Percentile: Top 93%
Advanced Technologies in Various Fields
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Evaluation Method of Teaching Quality of Ecological Sports Tourism Courses Based on Improved Ant Colony Algorithm — Zhiqiang Wang, Xiangyu Xu · (2025) | TGRS Research Map | TGRS