Peer interaction and social network analysis of online communities with the support of awareness of different contexts

Although several studies related to social-context awareness (SA) and knowledge-context awareness (KA) argued that each (SA or KA) can individually enhance peer interaction in an online learning community, other studies reached opposite conclusions. These conflicting findings likely stem from different experimental settings. Most importantly, few studies have investigated the difference between the impacts of SA and KA under an identical experimental setting, which can be used to determine whether SA or KA better enhances peer collaboration. Restated, direct empirical comparisons of these two approaches are lacking. This work simultaneously investigates the impacts of SA and KA on quantitative and qualitative peer interaction and learning performance using the same experimental setting. Additionally, an underlying repeated-measurement design is applied to investigate peer interaction patterns and learning performance in SA and KA communities. Experimental results show that SA can stimulate more quantitative peer interaction than KA. However, both SA and KA have limited capacity to elicit qualified message content, even in a longitudinal experiment. Although the scores of SA and KA communities did not differ significantly on the first posttest, the SA community had significantly better learning performance on the second posttest, likely related to more extensive and frequent interaction among peers within the SA community.

[1]  Thierry Chanier,et al.  How Social Network Analysis can help to Measure Cohesion in Collaborative Distance-Learning , 2003, CSCL.

[2]  Daniel Bodemer,et al.  Group awareness in CSCL environments , 2011, Comput. Hum. Behav..

[3]  Carl H. Frederiksen,et al.  A cross-cultural study of self-regulated learning in a computer-supported collaborative learning environment , 2013 .

[4]  Panayiotis Zaphiris,et al.  Investigating social network patterns within an empathic online community for older people , 2009, Comput. Hum. Behav..

[5]  Gijsbert Erkens,et al.  The effects of inspecting and constructing part-task-specific visualizations on team and individual learning , 2013, Comput. Educ..

[6]  Ulrike Cress,et al.  Group awareness and self-presentation in computer-supported information exchange , 2008, Int. J. Comput. Support. Collab. Learn..

[7]  Wendy A. Kellogg,et al.  Social translucence: an approach to designing systems that support social processes , 2000, TCHI.

[8]  Rita Cadima,et al.  Promoting social network awareness: A social network monitoring system , 2010, Comput. Educ..

[9]  Yen M. To,et al.  Measuring self-regulation in online and blended learning environments , 2009, Internet High. Educ..

[10]  Walter Bender,et al.  The Impact of Increased Awareness While Face-to-Face , 2007, Hum. Comput. Interact..

[11]  Yuan-Cheng Lai,et al.  Online formative assessments with social network awareness , 2013, Comput. Educ..

[12]  R. Hanneman Introduction to Social Network Methods , 2001 .

[13]  Pierre Dillenbourg,et al.  Facilitating peer knowledge modeling: Effects of a knowledge awareness tool on collaborative learning outcomes and processes , 2011, Comput. Hum. Behav..

[14]  Alejandra Martínez-Monés,et al.  From Mirroring to Guiding: A Review of State of the Art Technology for Supporting Collaborative Learning , 2005, Int. J. Artif. Intell. Educ..

[15]  L. Lipponen,et al.  Patterns of participation and discourse in elementary students’ computer-supported collaborative learning , 2003 .

[16]  Chih-Ming Chen,et al.  Mining learning social networks for cooperative learning with appropriate learning partners in a problem-based learning environment , 2014, Interact. Learn. Environ..

[17]  Nian-Shing Chen,et al.  Enhancing the Quality of e-Learning in Virtual Learning Communities by Finding Quality Learning Content and Trustworthy Collaborators , 2007, J. Educ. Technol. Soc..

[18]  Alexander Ardichvili,et al.  Motivation and barriers to participation in virtual knowledge-sharing communities of practice , 2003, J. Knowl. Manag..

[19]  Paul H. J. Hendriks,et al.  Why share knowledge? The influence of ICT on the motivation for knowledge sharing , 1999 .

[20]  Youngsoo Kim,et al.  Exploratory study on the patterns of online interaction and knowledge co-construction in project-based learning , 2010, Comput. Educ..

[21]  A. King Scripting Collaborative Learning Processes: A Cognitive Perspective , 2007 .

[22]  César Coll,et al.  Distributed Teaching Presence and communicative patterns in asynchronous learning: Name versus reply networks , 2013, Comput. Educ..

[23]  J. Janssen,et al.  Coordinated Computer-Supported Collaborative Learning: Awareness and Awareness Tools , 2013 .

[24]  Hiroaki Ogata,et al.  PERKAM: Personalized Knowledge Awareness Map for Computer Supported Ubiquitous Learning , 2007, J. Educ. Technol. Soc..

[25]  Genna Angello,et al.  Multiple-Choice Tests Exonerated, at Least of Some Charges , 2012, Psychological science.

[26]  Chih-Yang Chao,et al.  Supporting Interaction among Participants of Online Learning Using the Knowledge Sharing Concept. , 2011 .

[27]  D. A. Kenny,et al.  Dyadic Data Analysis , 2006 .

[28]  Friedrich W. Hesse,et al.  Evoking Knowledge and Information Awareness for Enhancing Computer-Supported Collaborative Problem Solving , 2009 .

[29]  Friedrich W. Hesse,et al.  Guiding knowledge communication in CSCL via group knowledge awareness , 2011, Comput. Hum. Behav..

[30]  Gerardo Ayala,et al.  Content Adaptation in Mobile Learning Environments , 2010, Int. J. Multim. Data Eng. Manag..

[31]  Shane Dawson,et al.  A Study of the Relationship between Student Social Networks and Sense of Community , 2008, J. Educ. Technol. Soc..

[32]  Anatoli Vrocharidou,et al.  Computer mediated communication for social and academic purposes: Profiles of use and University students' gratifications , 2012, Comput. Educ..

[33]  Yuh-Shy Chuang,et al.  Timely Diagnostic Feedback for Database Concept Learning , 2013, J. Educ. Technol. Soc..

[34]  Peter R. Monge,et al.  Individual participation in organizational information commons: The impact of team level social influence and technology-specific competence , 2005 .

[35]  K. Koedinger,et al.  Investigations into Help Seeking and Learning with a Cognitive Tutor , 2001 .

[36]  Joseph J. Pear,et al.  A social constructivist approach to computer-mediated instruction , 2002, Comput. Educ..

[37]  Jeroen Janssen,et al.  Visualization of participation: Does it contribute to successful computer-supported collaborative learning? , 2007, Comput. Educ..

[38]  Stanley Wasserman,et al.  Social Network Analysis: Methods and Applications , 1994 .

[39]  Heinz Mandl,et al.  Scripting Computer-Supported Collaborative Learning , 2007 .

[40]  Yuan-Cheng Lai,et al.  Harnessing Collaborative Annotations on Online Formative Assessments , 2013, J. Educ. Technol. Soc..

[41]  Tzu-Hua Wang,et al.  Developing Web-based assessment strategies for facilitating junior high school students to perform self-regulated learning in an e-Learning environment , 2011, Comput. Educ..

[42]  Hiroaki Ogata,et al.  Social Knowledge Awareness Map for Computer Supported Ubiquitous Learning Environment , 2010, J. Educ. Technol. Soc..

[43]  Jürgen Buder,et al.  Group awareness tools for learning: Current and future directions , 2011, Comput. Hum. Behav..