Distributing vs. Blocking Learning Questions in a Web-Based Learning Environment

Author:

Kapp Felix1,Proske Antje1,Narciss Susanne2,Körndle Hermann1

Affiliation:

1. Technische Universität Dresden

2. Universität Passau

Abstract

Effective studying in web-based learning environments (web-LEs) requires cognitive engagement and demands learners to regulate their learning activities. One way to support learners in web-LEs is to provide interactive learning questions within the learning environment. Even though research on learning questions has a long tradition, there are many open questions on how to design and implement the questions in order to help students to master the demands of web-based learning. This article presents findings from an experiment which deals with the different ways of implementing sets of learning questions in web-LEs. The study investigates whether different distributions of learning questions have an effect on learning activities and achievement. Participants worked on 16 learning questions either distributed within the learning environment in a fine-grained way (1 learning question after each of the 16 subchapters), in a medium-grained way (4 learning questions after every 4 subchapters), or presented blocked (8 learning questions after every 8 subchapters). Blocked presentation of learning questions resulted in less achievement compared to medium-grained and fine-grained distribution of the same learning questions. Learning process data indicates different learning activities in the 3 groups. Participants of the medium-grained group reported more monitoring of their learning process. The results are discussed concerning possible implications for instructional design and future research in the field of web-LEs.

Publisher

SAGE Publications

Subject

Computer Science Applications,Education

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