An Evaluation of Technology Integration in Teaching Statistics

Author:

Tchantchane Abdellatif1,Fortes Pauline2,Koshy Swapna1

Affiliation:

1. University of Wollongong in Dubai, Dubai, UAE

2. Faculty of Computer Science and Engineering, University of Wollongong in Dubai, Dubai, UAE

Abstract

Teaching and learning in higher education has been influenced by the rapid rate of innovation in technology. A technology intervention was used to teach Foundation Statistics. This paper reports students’ performance relative to those taught statistics using traditional teaching methods. Failure rate was reduced from 34% with traditional teaching to only 14% with the inclusion of technology, and in order to measure students’ perception towards the integration of technology in the subject, a total of 144 students of 30 different nationalities were surveyed at the end of the semester before the final examination. The analysis of the survey highlighted the students’ positive perception independent of their overall performance. Overall, the survey expressed a significant result showing that the use of technology helped students to perform better.

Publisher

IGI Global

Subject

Computer Science Applications,Education

Reference19 articles.

1. American Statistical Association. (2007). Guidelines for assessment and instruction in statistics education (GAISE). Retrieved from http://www.amstat.org/education/gaise/GAISEPreK-12_Full.pdf

2. Teaching statistics using a blended approach: integrating technology-based resources. In Same Places, Different Spaces;N.Baharun;Proceedings ASCILITE Auckland,2009

3. Fortes, P. C., & Tchantchane, A. (2010). Dealing with large classes: A real challenge, Procedia – Social and Behavioral Science, International Conference on Mathematics Education Research 2010 (ICMER2010), 8, 272-280.

4. How Students Learn Statistics

5. Difficulties in Learning Basic Concepts in Probability and Statistics: Implications for Research

Cited by 1 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

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