大数据分析融入生物化学与分子生物学教学的实施效果分析

连超群; 吕静竹; 唐王刚; 张强; 黄桦; 张静; 王效静

doi:10.13898/j.cnki.issn.1000-2200.2024.07.027

大数据分析融入生物化学与分子生物学教学的实施效果分析

Analysis of the implementation effects of integrating big data analysis into biochemistry and molecular biology teaching

摘要

摘要:
目的评估大数据分析融入生物化学与分子生物学教学的实施效果。
方法选取2022级临床医学专业本科生283名，其中对照组143名本科生采用传统教学模式，观察组140名本科生采用大数据分析融入课程的教学模式，比较2组本科生的及时学习成效和综合学习成效，同时对观察组本科生进行课堂回访及大数据分析工具使用满意度分析。
结果观察组本科生及时学习成效和综合学习成效均优于对照组(P＜0.05~P＜0.01)，且观察组本科生对大数据分析融入课程教学模式的课堂满意度及大数据分析工具使用的满意度均较高。
结论大数据分析工具的引入有助于提高学生的学习兴趣和科学素养，推动传统教学模式向深度互动、创新和数据交互的方向发展。

Abstract:
Objective To assess the implementation effects of integrating big data analysis into biochemistry and molecular biology teaching.
Methods A total of 283 undergraduates majoring in clinical medicine in grade 2022 were selected, the control group(143 students) adopted the traditional teaching mode, and the observation group(140 students) adopted the teaching mode of integrating big data analysis into the course. The timely learning effect and comprehensive learning effect of the undergraduates in two groups were compared. At the same time, the observation group were visited in class, and the satisfaction of using big data analysis tools was analyzed.
Results The timely learning effectiveness and comprehensive learning effectiveness in the observation group were better than those in control group(P < 0.05 to P < 0.01), and the undergraduates in the observation group had high satisfaction with the integration of big data analysis into the course teaching mode and use of big data analysis tools.
Conclusions The introduction of big data analysis tools can significantly improve students' learning interest and scientific literacy, and promote the traditional teaching mode to the direction of deep interaction, innovation and data interaction.

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