Multiple Methods and Techniques in Analyzing Computer-Supported Collaborative Learning (CSCL) Data


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5 March 2010 (Friday) | 09:00 - 12:30 | | Ms. Wing WONG, Research Student, Faculty of Education, HKU

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Multiple Methods and Techniques in Analyzing Computer-Supported Collaborative Learning (CSCL) Data

  1. 1. Online Computer Supported Collaborative Analysis (OCSCA) platform for CSCL discourse analysis<br />Wing Wong<br />
  2. 2. Target users<br />
  3. 3. Our goal: Develop a platform to connect teachers, researchers and tool developers.<br />
  4. 4. Characteristics<br />A platform for sharing raw CSCL data<br />A platform for sharing analyzed results<br />A platform for cross learning platform, cross cultural, etc. analyses<br />A platform for CSCL analysis toolkit developers to collaborate<br />A platform for CSCL research team to collaborate<br />
  5. 5. General requirements<br />Repository for sharing raw CSCL data and analyzed result<br />Standardized CSCL ontology to enable cross CSCL platform analysis<br />Standard protocol/API for communication with the proposed platform<br />Simple interface to facilitate the manipulation of data by both researchers and teachers<br />Possible to export the analyzed result to another analytical tool like SPSS<br />
  6. 6. The platform architecture <br />
  7. 7. Proposed Input Format - message<br />message [message id:int]<br />header<br />author:string<br />subject:string<br />created date:datetime<br />last modified date:datetime<br />parent id:int<br />body<br />content:string<br />scaffold:string (optional) <br />keywords:string (optional)<br />references message id:int (optional)<br />
  8. 8. Proposed Input format – read info<br />read [read id:int]<br />read date:datetime<br />reader:string<br />message id:int<br />
  9. 9. Discourse Analysis<br />Discourse analysis is an linguistics approach to study the application of spoken or written language.<br />Objective: <br />Understand the use of language by participants in the process of collaborative learning.<br />Identify the “idea” or “concept” or “knowledge” from the discourse.<br />Related project: <br />Dr. Chan: Question Classification and Sentiment Analysis<br />BNU team: Semantic forum for collaborative learning<br />Dr. Lu: Sequential discourse analysis of CSCL online data<br />
  10. 10. Content Analysis<br />Content analysis is a social science methodology to classify the communication based on a set of predefined coding scheme.<br />Objective:<br />Enable an automated or semi-automated process of content analysis.<br />Related Project:<br />CITE team: Study of students’ engagement in knowledge building with discourse markers<br />BNU team & CITE team: Visual Intelligent Content Analysis (VINCA)<br />Dr. Carolyn Rose’s team: TagHelper<br />
  11. 11. Other analyses<br />Social Network Analysis (SNA)<br />Social network analysis investigates the social relationships in terms of network theory.<br />Many toolkits are available for SNA.<br />Participatory Record Analysis<br />Study the users’ participation with the log records auto-generated by the CSCL environment.<br />Related Project:<br />Analytic Toolkit (ATK) for Knowledge Forum<br />
  12. 12. Visualization<br />Objective:<br />Visualize the analyzed results according to their time sequence and thread structure.<br />Visualize the semantic proximity between communication.<br />Related Project:<br />Dr. Christopher Teplovs: Knowledge Space Visualizer (KSV) for knowledge forum<br />
  13. 13. Questions<br />The nature and scale of the extra work that needs to be done to bring current work up to the level to fit in with the systems map requirement <br />The priority of development<br />