Difference between revisions of "Submissions:2016/Creating Wikipedia mini courses for customized learning"

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(Created page with "<!-- Simply provide information about your submission below and save the page. --> ;Title: Customized mini courses for Wikipedia based learning ;Submissions#Proposal Themes...")
 
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;Affiliation: <!-- Los Alamos National Laboratory -->
 
;Affiliation: <!-- Los Alamos National Laboratory -->
   
;Abstract: <!-- Wikipedia is one of the most resourceful database available for education. But in most cases, we open it only when we have a question about a specific topic. In addition to maintaining the existing structure, a new system of joining related contents of a specific topic to create mini courses, would be of great potential in education. For example, consider machine learning. All pages related to machine learning can be combined to form mini courses for different age/intellectual/experience levels. This process can be done with the help of big data, if Wikipedia would be able to collect user informations including age, educational level, experience, field of work, location etc. Pages looked up by individuals with similar educational level, in the existing Wikipedia system, can be grouped together to form an initial, rough skeleton of the course. Manual editing of these courses further, with the help of global users/paid employees can form a publishable final structure. -->
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;Abstract: <-- Wikipedia is one of the most resourceful database available for education. But in most cases, we open it only when we have a question about a specific topic. In addition to maintaining the existing structure, a new system of joining related contents of a specific topic to create mini courses, would be of great potential in education. For example, consider machine learning. All pages related to machine learning can be combined to form mini courses for different age/intellectual/experience levels. This process can be done with the help of big data, if Wikipedia would be able to collect user informations including age, educational level, experience, field of work, location etc. Pages looked up by individuals with similar educational level, in the existing Wikipedia system, can be grouped together to form an initial, rough skeleton of the course. Manual editing of these courses further, with the help of global users/paid employees can form a publishable final structure. -->
   
;Length of presentation: <!-- 20 min -->
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;Length of presentation: <-- 20 min -->
   
 
;Special schedule requests: <!-- (for example - can not present on Saturday) -->
 
;Special schedule requests: <!-- (for example - can not present on Saturday) -->
   
;Preferred room size: <!-- (how many do you think will be in audience? e.g. 10, 25, 50, 100, will try to match, but larger rooms have limited availability) -->
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;Preferred room size: <-- 25 -->
   
 
;Will you attend WikiConference North America if your submission is not accepted?: No
 
;Will you attend WikiConference North America if your submission is not accepted?: No

Revision as of 16:37, 15 September 2016

Title
Customized mini courses for Wikipedia based learning
Theme
Academic Peer Review option
Type of submission
Author
Abhijith Gopakumar
E-mail address
Username
abhijith
Affiliation
Abstract
<-- Wikipedia is one of the most resourceful database available for education. But in most cases, we open it only when we have a question about a specific topic. In addition to maintaining the existing structure, a new system of joining related contents of a specific topic to create mini courses, would be of great potential in education. For example, consider machine learning. All pages related to machine learning can be combined to form mini courses for different age/intellectual/experience levels. This process can be done with the help of big data, if Wikipedia would be able to collect user informations including age, educational level, experience, field of work, location etc. Pages looked up by individuals with similar educational level, in the existing Wikipedia system, can be grouped together to form an initial, rough skeleton of the course. Manual editing of these courses further, with the help of global users/paid employees can form a publishable final structure. -->
Length of presentation
<-- 20 min -->
Special schedule requests
Preferred room size
<-- 25 -->
Will you attend WikiConference North America if your submission is not accepted?
No

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