Scholarly Articles on Networking Computers into Learning and Education
In this article, I analyze two scholarly articles that discuss studies about learning through the assistance of computers, which, although not directly related to the recent controversy this year over a lack of transparency in the evaluation of research projects competing for national recognition in China, are related in that the award winning project was related to computer networking and each of the studies in the articles were using networking of computers into learning environments.
Bartmoni, "Walden Computer" 22 November 2009 via commons.wikimedia.org. Creative Commons Attribution-Share Alike 3.0 Unported License. |
(PLEASE SEE MY COMMENT BELOW, SEAN)
In their article, "Measuring Knowledge Elaboration Based on a Computer-Assisted Knowledge Map Analytical Approach to Collaborative Learning," authors Lanqin Zheng, Ronghuai Huang, Gwo-Jen Hwang and Kaicheng Yang describe a study in which they used computer mapping of knowledge and information to test how undergraduate groups gained knowledge and if prior knowledge on research topics assisted their knowledge gain.
The purpose of this article was primarily to inform readers of a study conducted with 185 undergraduate students divided into groups of three or four members, which were each instructed to learn as much as they could on one of two topics (which were related to curriculum or economics). The study, as assisted by advanced computer networking through the mapping of knowledge and information, tested to see if groups' prior knowledge on the topics given to them to research influenced how much knowledge they gained in the exercise. The result, as quantified by computer-assisted knowledge mapping, was that prior knowledge and performance of the group as a whole both were positively related to successful learning.
This article was published by the International Forum of Educational Technology & Society via the internet.
The article, in its massive list of 25+ references, cited numerous other studies in learning that were published in journals as articles, just like the article in question.
The authors were Lanqin Zheng,Ronghuai Huang, Gwo-Jen Hwang, and Kaicheng Yang, who are all professors at Beijing's School of Education Technology (Zheng, Huang, Yang) or at the National Taiwan University of Science and Technology (Hwang).
The intended audience of this article is most likely educators who are interested in group dynamics in learning and possibly educators who are interested in integrating computers into learning exercises for the purpose of enabling groups to work better and assess their knowledge more adequately.
I found this article on JSTOR.org when I searched for scientific studies related to computer networking in China.
In their article, "Measuring Knowledge Elaboration Based on a Computer-Assisted Knowledge Map Analytical Approach to Collaborative Learning," authors Lanqin Zheng, Ronghuai Huang, Gwo-Jen Hwang and Kaicheng Yang describe a study in which they used computer mapping of knowledge and information to test how undergraduate groups gained knowledge and if prior knowledge on research topics assisted their knowledge gain.
The purpose of this article was primarily to inform readers of a study conducted with 185 undergraduate students divided into groups of three or four members, which were each instructed to learn as much as they could on one of two topics (which were related to curriculum or economics). The study, as assisted by advanced computer networking through the mapping of knowledge and information, tested to see if groups' prior knowledge on the topics given to them to research influenced how much knowledge they gained in the exercise. The result, as quantified by computer-assisted knowledge mapping, was that prior knowledge and performance of the group as a whole both were positively related to successful learning.
This article was published by the International Forum of Educational Technology & Society via the internet.
The article, in its massive list of 25+ references, cited numerous other studies in learning that were published in journals as articles, just like the article in question.
The authors were Lanqin Zheng,Ronghuai Huang, Gwo-Jen Hwang, and Kaicheng Yang, who are all professors at Beijing's School of Education Technology (Zheng, Huang, Yang) or at the National Taiwan University of Science and Technology (Hwang).
The intended audience of this article is most likely educators who are interested in group dynamics in learning and possibly educators who are interested in integrating computers into learning exercises for the purpose of enabling groups to work better and assess their knowledge more adequately.
I found this article on JSTOR.org when I searched for scientific studies related to computer networking in China.
Hey Sean,
ReplyDeleteI hope you saw my comment before all the insane formatting of the text background. This comment is my explanation.
So, when I searched JSTOR for sources on my controversy related to China, Chinese names were cited for every article. Which was fine. I had a hard time spelling ALL of them, so I just quickly copied/pasted them into my blog post and continued writing.
However, I believe that when I copied the names from JSTOR, they carried a weird background/font with them, which is what you're seeing in the blog post. The reason why the whole sections have that weird format and not just the names is because I continued writing after pasting in the names, so everything I wrote following them also had that format. For example, in the second group of authors I wrote (again!) following Gwo-Jen Hwang, which couldn't be copied from elsewhere, I wrote that and it had the same weird format.
I've spent the last 30 minutes trying to fix the format in every way except re-typing it all, but at this point I'm moving on. I'm worried that it looks like I copied/pasted the whole analysis, and I made this comment specifically to attempt to lay that to rest.
If you have any issues with this, please just comment here or message me.
Thanks for understanding,
-Mika