Structure and content of messages in an online environment: An approach from participation

This study examines the participation of 24 university professors in the training process that uses on-line environment, which has a duration of 36?h in classroom and 30?h online. The main aim of the course is to provide theoretical and methodological elements that allow teachers to investigate and innovate in their educational practice. With this purpose, the messages were analysed regarding their nature, information level, depth level, and the relation between each of the indicators. The data corpus corresponds to ten discussion forums which were part of a training program in research and innovation in university teaching. The methodology used for the analysis considered the combination of quantitative indicators of participation with an analysis of message content. The results show that the messages are organized mainly around the content or learning task, which in turn tend to concentrate on levels with less complexity and depth. The data also indicate that there is a relation between message length, information level, and depth level achieved by the contributions of the participants when they collaborate in an online environment. The nature of the messages, which is associated mainly with the task's content.The results show the relation between the information level and the depth of the message.The information level, the depth of it and the length of the messages are related.There is a relationship between the estructural indicators and the content indicators.

[1]  Curtis J. Bonk,et al.  Content analysis of online discussion in an applied educational psychology course , 2000 .

[2]  Kyungbin Kwon,et al.  Group regulation and social-emotional interactions observed in computer supported collaborative learning: Comparison between good vs. poor collaborators , 2014, Comput. Educ..

[3]  Joze Rugelj,et al.  Exploring the relation between learning style models and preferred multimedia types , 2013, Comput. Educ..

[4]  Doris Lee,et al.  Designing Asynchronous, Text‐Based Computer Conferences , 2008 .

[5]  Anouschka van Leeuwen,et al.  Supporting teachers in guiding collaborating students: Effects of learning analytics in CSCL , 2014, Comput. Educ..

[6]  K. Kreijns.  Sociable CSCL environments: Social Affordances, Sociability, and Social Presence. , 2004 .

[7]  César Coll,et al.  Supporting online collaborative learning in small groups: Teacher feedback on learning content, academic task and social participation , 2014, Comput. Educ..

[8]  NGELIQUE D IMITRACOPOULOU,et al.  Computer based Interaction Analysis Supporting Self-regulation : Achievements and Prospects of an Emerging Research Direction A , 2008 .

[9]  Gijsbert Erkens,et al.  Coordination processes in computer supported collaborative writing , 2005, Comput. Hum. Behav..

[10]  Alejandra Martínez-Monés,et al.  Combining qualitative evaluation and social network analysis for the study of classroom social interactions , 2003, Comput. Educ..

[11]  Etienne Wenger,et al.  Communities of Practice: Learning, Meaning, and Identity , 1998 .

[12]  Wilfried Admiraal,et al.  CSCL in teacher training: what learning tasks lead to collaboration? , 2010 .

[13]  Tammy Schellens,et al.  Content analysis schemes to analyze transcripts of online asynchronous discussion groups: A review , 2006, Comput. Educ..

[14]  Sebastián Ventura,et al.  Predicting students' final performance from participation in on-line discussion forums , 2013, Comput. Educ..

[15]  Stefan Hrastinski,et al.  A theory of online learning as online participation , 2009, Comput. Educ..

[16]  A. Onwuegbuzie,et al.  Toward a Definition of Mixed Methods Research , 2007 .

[17]  Ana Remesal,et al.  Social presence and online collaborative small group work: A socioconstructivist account , 2013, Comput. Educ..

[18]  Gwo-Jen Hwang,et al.  Students' online interactive patterns in augmented reality-based inquiry activities , 2014, Comput. Educ..

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

[20]  S. Greenberg,et al.  The Importance of Awareness for Team Cognition in Distributed Collaboration , 2001 .

[21]  Vanessa P. Dennen,et al.  From Message Posting to Learning Dialogues: Factors affecting learner participation in asynchronous discussion , 2005 .

[22]  Paul A. Kirschner,et al.  Awareness of group performance in a CSCL-environment: Effects of peer feedback and reflection , 2010, Comput. Hum. Behav..

[23]  Nancy Law,et al.  Introduction to the proceedings of CSCL 2011 , 2011 .

[24]  Jeroen Janssen,et al.  Group awareness tools: It's what you do with it that matters , 2011, Comput. Hum. Behav..

[25]  Robert J. Stevens,et al.  The Role of Theory in the Study of Peer Collaboration , 2000 .

[26]  Thérèse Laferrière,et al.  Reflective practice on online collaborative learning and knowledge building in campus-based teacher education courses , 2011, CSCL.

[27]  KuoFeng-Yang,et al.  A study of social participation and knowledge sharing in the teachers' online professional community of practice , 2014 .

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

[29]  Ruey-Shiang Shaw,et al.  The relationships among group size, participation, and performance of programming language learning supported with online forums , 2013, Comput. Educ..

[30]  Pairin Katerattanakul,et al.  Structural model of team-based learning using Web 2.0 collaborative software , 2012, Comput. Educ..

[31]  Mark Guzdial,et al.  Effective Discussion Through a Computer-Mediated Anchored Forum , 2000 .

[32]  P. Levy,et al.  Blended university teaching using virtual learning environments: conceptions and approaches , 2011, Instructional Science.

[33]  Jennifer Richardson,et al.  The Impact of Frequency on Achievement in Online Courses: A Study from a South Texas University. , 2011 .

[34]  Fan-Chuan Tseng,et al.  A study of social participation and knowledge sharing in the teachers' online professional community of practice , 2014, Comput. Educ..

[35]  Paul A. Kirschner,et al.  Designing Sociable CSCL Environments , 2004 .

[36]  Caroline Haythornthwaite,et al.  Strong, Weak, and Latent Ties and the Impact of New Media , 2002, Inf. Soc..

[37]  Pierre Dillenbourg,et al.  The Evolution of Research on Computer-Supported Collaborative Learning , 2009 .

[38]  Sheng-Yi Wu,et al.  Analyzing the social knowledge construction behavioral patterns of an online synchronous collaborative discussion instructional activity using an instant messaging tool: A case study , 2011, Comput. Educ..

[39]  César Coll,et al.  Distributed Teaching Presence and Participants' Activity Profiles: a theoretical approach to the structural analysis of Asynchronous Learning Networks† , 2009 .

[40]  Selma Vonderwell,et al.  Factors that Influence Participation In Online Learning , 2005 .

[41]  Silvia Wen-Yu Lee,et al.  Investigating students' learning approaches, perceptions of online discussions, and students' online and academic performance , 2013, Comput. Educ..

[42]  M. Romero,et al.  Group Awareness, Learning, and Participation in Computer Supported Collaborative Learning (CSCL) , 2012 .

[43]  Stefan Hrastinski,et al.  What is online learner participation? A literature review , 2008, Comput. Educ..

[44]  J. Michael Spector,et al.  Handbook of Research on Educational Communications and Technology, 3rd Edition , 2012 .

[45]  Kai-Hsiang Yang,et al.  The WebQuest model effects on mathematics curriculum learning in elementary school students , 2014, Comput. Educ..

[46]  Huang-Yao Hong,et al.  Community knowledge assessment in a knowledge building environment , 2014, Comput. Educ..

[47]  Ditte Lockhorst,et al.  Teacher research in secondary education: Effects on teachers’ professional and school development, and issues of quality , 2013 .

[48]  D. Lockhorst,et al.  Design principles for a CSCL environment in teacher training , 2000 .