E-learning 2022

该数据集包含了研究生远程设计课程中收集的问题及学生活动数据，具体包括630个多项选择题和42,176次问题解决尝试。此外，数据集还包含了基于学习目标的两套专家设计的知识组件模型。规模上，数据集覆盖了630个多项选择题和42,176次问题解决尝试，其任务是进行知识组件的发现。This dataset contains problem and student activity data collected from a graduate-level remote design course, specifically including 630 multiple-choice questions and 42,176 problem-solving attempts. Additionally, the dataset includes two sets of expert-designed knowledge component models based on learning objectives. In terms of scale, the dataset covers 630 multiple-choice questions and 42,176 problem-solving attempts, and its core task is knowledge component discovery.

搜集汇总

背景与挑战

背景概述

该数据集是“E-Learning Design Principles and Methods - Fall 2022”，收集于2022年秋季学期，涉及39名学生在在线学习环境中的交互数据，包含40,657个步骤和120,703个交易。数据集特点包括提供多种知识组件模型（如EDM5、LOs等），用于映射学习步骤到知识技能，支持对教学设计效果的分析和评估。