Effects of Interaction on E-Learning Satisfaction and Outcome

Author:

Eom Sean1,Laouar Mohamed Ridda2

Affiliation:

1. Southeast Missouri State University, Management Information Systems, Cape Girardeau, MO, USA

2. University Larbi Tebessi, Department of Mathematics and Computer Science, Tebessa, Algeria

Abstract

We have reviewed several e-learning empirical research studies that have investigated the effects of interaction on satisfaction and outcomes of e-learning, published between 2001 and 2010. Their conclusions seemed inconclusive, ranging from no relationships between interactions and two dependent variables (satisfaction and learning outcomes) to positive relationships. In-depth analyses of these empirical studies conducted by examining dependent and independent constructs and their indicators, research methods, and participants' characteristics. We conclude that the conflicting results are due to primarily different definitions of the dependent and independent constructs and their indicator variables, different research methods employed, and participant's demographic characteristics. In order to build e-learning theories and a cumulative research tradition, it is necessary to (1) define the dependent/independent constructs and their indicators, (2) employ common research methodology, and (3) test commonly accepted causal models. Further, we suggest the following three recommendation to guide the future research. They include using only dialogue, instead of mixing dialogue and interaction, conducting learning theory-based holistic approach, and proper treatment of contextual variables.

Publisher

IGI Global

Cited by 21 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. A Paring-Free ID-Based Authenticated Key Agreement Protocol for IoT Environment;12th International Conference on Information Systems and Advanced Technologies “ICISAT 2022”;2023

2. Multimedia Adaptation in Ubiquitous Systems: Literature Review, Critical Analysis and Future Trends;12th International Conference on Information Systems and Advanced Technologies “ICISAT 2022”;2023

3. Patch Monopol Antenna for WLAN and Bluetooth/ISM (2.4–2.48 MHz), 2.5/3.5 GHz WIMAX (2.5–2.69/3.4–3.69 GHz) Applications;12th International Conference on Information Systems and Advanced Technologies “ICISAT 2022”;2023

4. Intelligent Decision Support System of Big Data and IOT Analytics Interoperability with ERP Promoting SCM Sustainability in Automotive;12th International Conference on Information Systems and Advanced Technologies “ICISAT 2022”;2023

5. Using Chua’s Chaotic Oscillator in Encryption Communication by ACO Identifications;12th International Conference on Information Systems and Advanced Technologies “ICISAT 2022”;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