利用学习分析来模拟学生参与研究生统计:农业教育中的基于问题的学习方法
Zhihong Xu1, Fahmida Husain Choudhury1, Shuai Ma1
1Department of Agricultural Leadership, Education and Communications, Texas A&M University, College Station, TX 77843, USA.
Behavioral sciences (Basel, Switzerland)
|October 29, 2025
概括
研究生是研究生.
科学领域:
- 教育技术的教育技术
- 统计学 教育 统计学 教育
- 学习分析学习分析
背景情况:
- 具有有限数学背景的研究生在统计学方面扎.
- 学习管理系统 (LMS) 和基于问题的学习 (PBL) 是常见的,但在混合方法研究中研究不足.
- 在学习分析 (LA) 中的机器学习为理解学生行为提供了潜力.
研究的目的:
- 在研究生统计学课程中检查Canvas上的学生参与模式和学习成果.
- 探索LMS参与度,PBL和学业成绩之间的关系.
- 用混合方法识别不同的学生参与行为.
主要方法:
- 解释性的顺序混合方法设计.
- 收集了LMS日志数据和31名研究生的调查回复.
- 通过对日志数据进行K-means集群和对19名学生的采访进行主题分析.
主要成果:
- 通过K-means集群确定了两个组:高性能 (LMS参与度较低) 和低性能 (LMS参与度较高).
- 主题分析揭示了参与行为,评估角色,情感斗争,自我效能和感知学习的差异.
- 低成绩的学生从结构化的指导和重复的接触中受益,更频繁地参与.
结论:
- 在LMS上的学生参与模式有很大的不同,并且与毕业生统计数据中的表现相关.
- 低成绩的学生从结构化的支持和频繁的参与中受益,而高成绩的学生则表现出积极主动的习惯.
- 整合PBL和LMS功能的课程设计对于支持统计学中的多元化研究生学习者至关重要.
相关概念视频
01:29Mathematical Modeling: Problem Solving
249
Mathematical modeling transforms real-world scenarios into mathematical expressions, allowing for structured problem-solving and analysis. This process involves defining the situation, assigning variables to measurable quantities, selecting an appropriate model, and solving the resulting equation. Such models are invaluable in finance, providing precise methods to evaluate investments, loans, and repayment structures.A widely used example is the calculation of fixed monthly payments on a loan,...
249
01:18Steps in Outbreak Investigation
485
In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
485
01:21Cognitive Learning
997
Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
Tolman introduced the idea that behavior is influenced by...
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
Tolman introduced the idea that behavior is influenced by...
997
01:27Growth Models with Integration: Problem Solving
9
In population modeling, integration provides a systematic way to determine accumulated quantities from known rates of change. One such application arises in ecology, where the total weight of a fish population in a body of water is referred to as its biomass. When the rate of growth of this biomass is known as a function of time, calculus can be used to determine the total biomass at a future date.Growth Rate and Biomass FunctionLet the growth rate of the fish population be represented by a...
9
01:29Exponential Equations with Logarithms: Problem Solving
160
In ecological studies, exponential models are often used to predict how populations grow over time under favorable conditions. These models assume that the growth rate is proportional to the current population, leading to continuous and compounding increases.The model expresses the population as a function of time, combining the initial population with a growth factor raised to an exponent involving the growth rate and time. To estimate how long it takes for a population to reach a specific...
160
01:11Statistical Analysis: Overview
14.1K
When we take repeated measurements on the same or replicated samples, we will observe inconsistencies in the magnitude. These inconsistencies are called errors. To categorize and characterize these results and their errors, the researcher can use statistical analysis to determine the quality of the measurements and/or suitability of the methods.
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
14.1K