scholarly journals Exploring Individual and Collaborative Dimensions of Knowledge Building in an Online Learning Community of Practice

2008 ◽  
Vol 7 (1) ◽  
pp. 105-126
Author(s):  
Lina MARKAUSKAITE ◽  
Louise M. SUTHERLAND
Keyword(s):  
Online Learning ◽  
Learning Community ◽  
Community Of Practice ◽  
Knowledge Building ◽  
Online Learning Community

scholarly journals Topic Sentiment Analysis in Online Learning Community from College Students

2020 ◽  
Vol 5 (2) ◽  
pp. 33-61
Author(s):  
Kai Wang ◽  
Yu Zhang
Keyword(s):  
Online Learning ◽  
Sentiment Analysis ◽  
Learning Community ◽  
Teaching Practice ◽  
Topic Detection ◽  
Online Learning Community ◽  
Hybrid Matrix ◽  
Content Recommendation ◽  
Topic Sentiment

AbstractPurposeOpinion mining and sentiment analysis in Online Learning Community can truly reflect the students’ learning situation, which provides the necessary theoretical basis for following revision of teaching plans. To improve the accuracy of topic-sentiment analysis, a novel model for topic sentiment analysis is proposed that outperforms other state-of-art models.Methodology/approachWe aim at highlighting the identification and visualization of topic sentiment based on learning topic mining and sentiment clustering at various granularity-levels. The proposed method comprised data preprocessing, topic detection, sentiment analysis, and visualization.FindingsThe proposed model can effectively perceive students’ sentiment tendencies on different topics, which provides powerful practical reference for improving the quality of information services in teaching practice.Research limitationsThe model obtains the topic-terminology hybrid matrix and the document-topic hybrid matrix by selecting the real user’s comment information on the basis of LDA topic detection approach, without considering the intensity of students’ sentiments and their evolutionary trends.Practical implicationsThe implication and association rules to visualize the negative sentiment in comments or reviews enable teachers and administrators to access a certain plaint, which can be utilized as a reference for enhancing the accuracy of learning content recommendation, and evaluating the quality of their services.Originality/valueThe topic-sentiment analysis model can clarify the hierarchical dependencies between different topics, which lay the foundation for improving the accuracy of teaching content recommendation and optimizing the knowledge coherence of related courses.

Building a Learning Community Online

2011 ◽  
pp. 309-321
Author(s):  
Tessa Owens ◽  
Petra Luck
Keyword(s):  
Online Learning ◽  
Learning Community ◽  
Community Of Practice ◽  
Student Evaluations ◽  
Early Years ◽  
Early Years Education ◽  
Education And Care ◽  
E Learning

This chapter reviews a pilot e-learning project at Liverpool Hope University Col-lege. It will illustrate an approach to online learning aimed at students working inthe early years education and care sector and attempts to demonstrate the devel-opment of a “community of practice.” This chapter will discuss how the contextinformed the rationale for the approaches taken by the staff team and providescommentary from student evaluations highlighting their experiences.

A User Driven Learning Environment in Botany

2011 ◽  
pp. 255-275
Author(s):  
J. M. Garg ◽  
Dinesh Valke ◽  
Max Overton
Keyword(s):  
Online Learning ◽  
Learning Environment ◽  
Learning Community ◽  
Special Interest ◽  
Lived Experiences ◽  
Online Community ◽  
Information Resources ◽  
Online Learning Community ◽  
Conversational Learning ◽  
Group Members

This chapter introduces the reader to a sample ‘User driven learning environment’ created in an online community with a special interest centred on trees and plants. It traces the development of an online learning community through the lived experiences and thoughts of its founding members and also includes conversational learning experiences of other users to illustrate the process of ‘user driven learning’ in online communities. It illustrates innovative sense making methodologies utilized by group members to create a more meaningful ‘User driven learning environment’ while simultaneously contributing in a positive way to create information resources at no cost along with creating awareness & scientific temper among members.

A Code of Ethical Conduct for Global Learning

2011 ◽  
pp. 22-38
Keyword(s):  
Online Learning ◽  
Student Success ◽  
Learning Community ◽  
Social Values ◽  
Ethical Conduct ◽  
Global Learning ◽  
Online Learning Community ◽  
National Boundaries

Cyberspace is host to conflicting views of cyberethics. National boundaries and traditional social values are distorted by the influence of globalized values that are linked to technology. The inevitable change prompted by technology calls for a code of ethical conduct for the global online learning community where all stakeholders ultimately share the responsibility for student success.

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