Research on Teaching Process Quality Monitoring System Based on Online Teaching Big Data
ZHANG Jian, ZHANG Qian, ZHU Li
(Liaoning University of Traditional Chinese Medicine, Shenyang 110000, China)
Abstract: Under the background of educational informatization, online teaching has become the main form of teaching in universities. It is worth exploring how to extract and apply massive data from online teaching, mine and analyze its intrinsic value, promote the integration of data and teaching management, comprehensively, timely, and accurately grasp the quality of online teaching, and promote the efficient, precise, and scientific development of educational management. The article is positioned as a research on the quality monitoring system of online teaching processes in Chinese medical colleges. With technical means as support and big data analysis as the starting point, it analyzes relevant cases and attempts to build an intelligent big data online teaching quality monitoring platform, construct a scientific and reasonable online teaching process quality monitoring system, and provide some reference and reference for improving the efficiency of higher education management and the scientific level of educational decision-making.
Key words: online teaching; big data; teaching quality monitoring
0 引言
世界数字教育大会中提到要强化数据赋能，通过人工智能、大数据等技术应用，推动教育治理高效化、
精准化，提升教书育人效力。《教育信息化2.0行动计划》《中国教育现代化2035》《教育部关于加强新时代教育管理信息化工作的通知》3部文件均提出推动信息技术与教育深度融合，打破数据孤岛，让数据效能充分发挥。对高校而言，面对大规模的线上或线上线下混合式教学模式，如何对在线教学质量进行有效的监控，如何对如此庞大繁杂的监控数据进行挖掘和分析，全面、及时、准确地把握在线教学质量，并使其分
析结果应用于教学一线，是非常值得研究的课题[1]。
1 基于在线教学大数据构建在线教学过程质量监控体系的意义
大数据和移动互联网技术的迅猛发展，打破了传统监控体系的弊端，为在线教学质量监控体系的构建提供了更加快捷、更加高效的软硬件环境，对于实现在线教学质量的精细化、智能化和可视化监控具有重
要的意义[2]。数据是信息的表现形式和载体，信息是加载于数据之上，是数据的内涵[3]，数据治理是突破口，
多元主体共识、参与是关键。通过数据说话、数据管理、数据决策，可将碎片化评价整合为系统化、科学化
评价[4]，构建适应时代发展需求的“互联网+教育”新
型在线教学质量监控数据支撑体系，提升高校在线教