Effectiveness of eLearning in statistics: Pictures and stories

Author:

Blackburn Greg1

Affiliation:

1. IMC AG, Uni-Campus Nord, Saarbrücken, Germany

Abstract

The study investigates (1) the effectiveness of using eLearning-embedded stories and pictures in order to improve learning outcomes for students and (2) how universities can adopt innovative approaches to the creation of Problem-Based Learning (PBL) resources and embed them in educational technology for teaching domain-specific content, such as statistical literacy – a widely documented difficult subject for students to master. Current didactic approaches for statistics commonly do not arouse student attentiveness and enthusiasm. New educational theories related to contextualism and learning through student-relevant experiences and technologies establish encouraging options to improve educational relevance. The author suggests that contextualizing theories embedded in eLearning systems can eliminate barriers for learning and can serve as a valuable technique that encourages students to learn using scenarios that are more relevant to them. The authors examine empirical data on students’ learning and interpretation of the topic studied. The data are instrumental in determining the broader context of learning, including affective dimensions and student interpretations. Based on the proposed approach, a trans-disciplinary application is possible.

Publisher

SAGE Publications

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Enhancing learning and attitude toward statistics with a microlearning approach using an animated video;Journal of Research on Technology in Education;2024-06-10

2. Postsecondary students’ understanding of statistics through story-based tasks;International Journal of Mathematical Education in Science and Technology;2024-05-26

3. Pengaruh Model Pembelajaran Read, Observe, Auditory And Recite (ROAR) terhadap Kemampuan Tingkat Pemecahan Masalah Matematis Siswa;Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika;2024-02-04

4. Implementing digital storytelling in statistics classrooms: Influences on aggregate reasoning;Computers & Education;2023-07

5. Interactive Course Materials in Higher Institute Learning;Communications in Computer and Information Science;2023

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3