关键词: Active learning Adaptive learning Collaborative learning E-learning Educational technology Learning analytics Student engagement math

来  源:   DOI:10.1016/j.dib.2024.110236   PDF(Pubmed)

Abstract:
Higher education institutions are promoting the adoption of innovative methodologies and instructional approaches to engage and promote personalized learning paths to their students. Several strategies based on gamification, artificial intelligence, and data mining are adopted to create an interactive educational setting centred around students. Within this personalized learning environment, there is a notable boost in student engagement and enhanced educational outcomes. The MathE platform, an online educational system introduced in 2019, is specifically crafted to support students tackling difficulties in comprehending higher-education-level mathematics or those aspiring to deepen their understanding of diverse mathematical topics - all at their own pace. The MathE platform provides multiple-choice questions, categorized under topics and subtopics, aligning with the content taught in higher education courses. Accessible to students worldwide, the platform enables them to train their mathematical skills through these resources. When the students log in to the training area of the platform, they choose a topic to study and specify whether they prefer basic or advanced questions. The platform then selects a set of seven multiple-choice questions from the available ones under the chosen topic and generates a test for the student. After completing and submitting the test, the answers are recorded and stored on the platform. This paper describes the data stored in the MathE platform, focusing on the 9546 answers to 833 questions, provided by 372 students from 8 countries who use the platform to practice their skills using the questions (and other resources) available on the platform. The information in this paper will help research about active learning tools to support the improvement of future education, especially at higher educational level. Furthermore, these data are valuable for understanding student learning patterns, assessing platform efficacy, gaining a global perspective on mathematics education, and contributing to the advancement of active learning tools for higher education.
摘要:
高等教育机构正在促进采用创新的方法和教学方法,以吸引和促进学生的个性化学习路径。基于游戏化的几种策略,人工智能,和数据挖掘被用来创建一个以学生为中心的交互式教育环境。在这种个性化的学习环境中,学生参与度显着提高,教育成果得到改善。MathE平台,2019年推出的在线教育系统是专门设计的,旨在支持学生在理解高等教育水平的数学方面遇到困难,或者支持那些渴望加深对不同数学主题理解的学生——所有这些都按照自己的节奏进行。MathE平台提供多项选择题,按主题和子主题分类,与高等教育课程的内容保持一致。世界各地的学生都可以访问,该平台使他们能够通过这些资源训练他们的数学技能。当学生登录平台的培训区时,他们选择一个主题来研究,并指定他们喜欢基本还是高级问题。然后,该平台从所选主题下的可用问题中选择一组七个多项选择题,并为学生生成一个测试。完成并提交测试后,答案被记录并存储在平台上。本文描述了存储在MathE平台中的数据,专注于833个问题的9546个答案,由来自8个国家的372名学生提供,他们使用平台上可用的问题(和其他资源)练习他们的技能。本文的信息将有助于研究主动学习工具,以支持未来教育的改进,尤其是在更高的教育水平。此外,这些数据对于理解学生的学习模式很有价值,评估平台功效,获得数学教育的全球视野,并促进高等教育主动学习工具的发展。
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