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The University of Hong Kong, Faculty of Education

Master of Science in Library and Information Management (MSc[LIM])


Assignment front cover



Module Code & Title:

MLIM6025

Term:

January 1,2007

Module Tutor:

Dr. Jan Van Aalst

University No:

2006896073

Assignment Due Date:

May 21, 2007

11: 59pm




Topic of assignment:

Using datamining to analyze CSCL discourse data



Student Declaration:


This assignment is entirely my own work except where I have duly acknowledged other sources in the text and listed those sources at the end of the assignment; I have not submitted this work to this University or any other institution as part fulfilment of a degree, diploma or other qualification; I understand that I may be orally examined on my submission. The contents of both submitted versions (electronic and hard copy) of this assignment are the same.


















Name:




Signed:




Date of submission:



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emarks : If you wish to receive a formal acknowledgment of assignment, please complete the following slip.



Acknowledgment




Module code :

MLIM6025

Module title :

Methods of research and enquiry

Topic of Assignment :

Using datamining to analyze CSCL discourse data

University No.:

2006896073




Received on:




Chop:







Module Code and Title:

MLIM6025: Methods of research and enquiry

Term:

January 1,2007

University No.:

2006896073

Assignment Due Date:

May 21, 2007 11: 59pm

Topic of Assignment:

Using datamining to analyze CSCL discourse data


Here are my main comments.


1. The reference list has many conference papers, which I have highlighted in blue. While in data mining some will need to be included, it is generally not a good idea to include too many. Use published works (journal articles and book chapters) instead. Overall, what I am saying is that the quality of the literature you cited is not strong.


2. The paper needs to be organized better. I have written a brief introduction that you need to finish. After that you need several main sections to your review:

(a) CSCL The review needs to be more extensive than what you have. Describe the emergence of the field and recent trends in it (i.e., the major lines of research)

(b) CKB The review of this must also be more extensive. The references are all very recent although I like your use of the Bereiter & Scardamalia (2003) paper. You need to review published studies relevant to knowledge building as well, especially those that involve content analysis. Some authors are Hakkarainen and colleagues, Hewitt, Zhang et al. You can look at my article in The Journal of the Learning Sciences (last issue) for a good reference list. You might also briefly discuss assessment in the context of knowledge building.

(c) Only then review data mining. This needs to be an extensive review of work in this area as well as theories. Make sure that it is published if possible. Describe the available techniques and results that might be relevant to CKB.


3. Then write a section where you bring the CSCL-CKB and data mining literatures together. End with, statement of the goals of the study, a conceptual framework, the research questions, and their significance. Please state the research questions as questions (as a numbered list) instead of hiding them in a paragraph.


1. Introduction
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