ARCS模型视角下武术游戏化教学质量评价方法研究
A Study on the Quality Evaluation Method of Wush Gamification Teaching from the Perspective of the ARCS Model
黄志平1
作者信息
- 1. 漳州职业技术学院通识教育学院,福建漳州 363000
- 折叠
摘要
研究ARCS模型视角下武术游戏化教学质量评价方法,促进武术教学质量良性发展.设计ARCS模型武术游戏化教学质量评价结构,通过定义模块激发学生学习武术兴趣,设计模块依据学生兴趣设立武术游戏化课堂,预设与学生相对应武术闯关游戏,通过在游戏中学习武术专业知识,激发模块通过武术游戏化课堂的学习环境、武术知识建立学生武术学习自信心;评价模块通过构建教学质量评价指标体系,采用模糊综合评价算法,依据各指标获取教学质量综合评价结果,依据评价结果不断完善教学设置,提升学生武术学习满意度.实验说明:该方法设计武术游戏化教学可提升中小学学生武术学习兴趣度,增加武术课堂教学效果,同时该方法能客观表达武术教学质量评价结果.
Abstract
This study aims to explore the evaluation method for the quality of martial arts gamification teaching from the perspective of the ARCS model,with the goal of promoting the sound development of martial arts teaching quality.The evaluation structure for martial arts gamification teaching quality based on the ARCS model is designed to stimulate students'interest in learning martial arts.This is achieved by defining modules that establish martial arts game classes aligned with students'interests and provide corresponding martial arts games to engage students.The modules also aim to build students'confidence in martial arts learning through the learning environment and the acquisition of martial arts knowledge during the game.The evaluation module utilizes a fuzzy comprehensive evaluation algorithm to obtain comprehensive evaluation results of teaching qual-ity based on various indicators.By constructing an evaluation index system for teaching quality,the teaching set-tings are continuously improved according to the evaluation results,thereby enhancing students'satisfaction with martial arts learning.Experimental results demonstrate that this method effectively enhances the interest of primary and secondary school students in martial arts learning,improves the effectiveness of martial arts class-room teaching,and provides an objective expression of the evaluation results for martial arts teaching quality.
关键词
ARCS模型/武术游戏化/教学质量评价/模糊综合评价Key words
ARCS model/martial arts gamification/teaching quality evaluation/fuzzy comprehensive evaluation引用本文复制引用
出版年
2024
NETL
NSTL
万方数据