Evaluating the efficiency of social learning networks: Perspectives for harnessing learning analytics to improve discussions

[1]  Alyssa Friend Wise,et al.  Unpacking the relationship between discussion forum participation and learning in MOOCs: content is key , 2018, LAK.

[2]  Arthur C. Graesser,et al.  Modeling Learners' Social Centrality and Performance through Language and Discourse , 2015, EDM.

[3]  Thomas K. F. Chiu,et al.  Factors influencing peer learning and performance in MOOC asynchronous online discussion forum , 2017, Australasian Journal of Educational Technology.

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

[5]  Jennifer Preece,et al.  Non-public and public online community participation: Needs, attitudes and behavior , 2006, Electron. Commer. Res..

[6]  H. Vincent Poor,et al.  On the Efficiency of Online Social Learning Networks , 2018, IEEE/ACM Transactions on Networking.

[7]  Yilun Shang,et al.  Bounding Extremal Degrees of Edge-Independent Random Graphs Using Relative Entropy , 2016, Entropy.

[8]  Matthias Dehmer,et al.  A history of graph entropy measures , 2011, Inf. Sci..

[9]  Kristy Elizabeth Boyer,et al.  Unsupervised modeling for understanding MOOC discussion forums: a learning analytics approach , 2015, LAK.

[10]  Michael I. Jordan,et al.  Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..

[11]  Bradley D. Parrish,et al.  What is social learning , 2010 .

[12]  Carolyn Penstein Rosé,et al.  Investigating How Student's Cognitive Behavior in MOOC Discussion Forum Affect Learning Gains , 2015, EDM.

[13]  Dragan Gasevic,et al.  Translating network position into performance: importance of centrality in different network configurations , 2016, LAK.

[14]  Rebecca Ferguson,et al.  Social Learning Analytics , 2012, J. Educ. Technol. Soc..

[15]  Yan Zhang,et al.  Longitudinal engagement, performance, and social connectivity: a MOOC case study using exponential random graph models , 2016, LAK.

[16]  Erik Duval,et al.  Success, activity and drop-outs in MOOCs an exploratory study on the UNED COMA courses , 2014, LAK.

[17]  V Latora,et al.  Efficient behavior of small-world networks. , 2001, Physical review letters.

[18]  M. J. W. Thomas,et al.  Learning within incoherent structures: the space of online discussion forums , 2002, J. Comput. Assist. Learn..

[19]  Justine Cassell,et al.  Connecting the Dots: Predicting Student Grade Sequences from Bursty MOOC Interactions over Time , 2015, L@S.

[20]  Aditya Johri,et al.  Systematic Review of Discussion Forums in Massive Open Online Courses (MOOCs) , 2019, IEEE Transactions on Learning Technologies.

[21]  Carolyn Penstein Rosé,et al.  Sentiment Analysis in MOOC Discussion Forums: What does it tell us? , 2014, EDM.

[22]  Vanessa Paz Dennen,et al.  From Interaction to Intersubjectivity: Facilitating online group discourse processes , 2007 .

[23]  Mark Warschauer,et al.  Predicting MOOC performance with Week 1 Behavior , 2014, EDM.

[24]  Christopher A. Brooks,et al.  How Do We Model Learning at Scale? A Systematic Review of Research on MOOCs , 2018 .

[25]  Martin A. Andresen Asynchronous Discussion Forums: Success Factors, Outcomes, Assessments, and Limitations , 2009, J. Educ. Technol. Soc..

[26]  Neil Mercer,et al.  Sociocultural discourse analysis: analysing classroom talk as a social mode of thinking , 2007 .

[27]  Rose M. Marra A Review of Research Methods for Assessing Content of Computer-Mediated Discussion Forums , 2006 .

[28]  Avner Caspi,et al.  Dialogue: a theoretical framework for distance education instructional systems , 2005, Br. J. Educ. Technol..

[29]  Tammy Schellens,et al.  Collaborative learning in asynchronous discussion groups: What about the impact on cognitive processing? , 2005, Comput. Hum. Behav..

[30]  U. Feige,et al.  Spectral Graph Theory , 2015 .

[31]  Lorin W. Anderson,et al.  Curricular Alignment: A Re-Examination , 2002 .

[32]  Conrad S. Tucker,et al.  Mining Student-Generated Textual Data In MOOCS And Quantifying Their Effects on Student Performance and Learning Outcomes , 2014 .

[33]  Anita Pincas Successful online course design: Virtual frameworks for discourse construction , 1998, J. Educ. Technol. Soc..

[34]  Yoav Bergner,et al.  Methodological Challenges in the Analysis of MOOC Data for Exploring the Relationship between Discussion Forum Views and Learning Outcomes , 2015, EDM.

[35]  Albrecht Fortenbacher,et al.  Predicting students' success based on forum activities in MOOCs , 2015, 2015 IEEE 8th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS).

[36]  Sung Hoon Lim,et al.  A semantic network model for measuring engagement and performance in online learning platforms , 2018, Comput. Appl. Eng. Educ..

[37]  Rebecca Eynon,et al.  Communication patterns in massively open online courses , 2014, Internet High. Educ..

[38]  C. E. SHANNON,et al.  A mathematical theory of communication , 1948, MOCO.

[39]  K. Robert Lai,et al.  Who will pass? Analyzing learner behaviors in MOOCs , 2016, Res. Pract. Technol. Enhanc. Learn..

[40]  Wanli Xing,et al.  Exploring the temporal dimension of forum participation in MOOCs , 2018 .

[41]  Robert S. Guttchen INQUIRY IN EDUCATION , 1958 .

[42]  Josh Gardner,et al.  Student success prediction in MOOCs , 2017, User Modeling and User-Adapted Interaction.

[43]  Tenzin Doleck,et al.  Grade prediction of weekly assignments in MOOCS: mining video-viewing behavior , 2019, Education and Information Technologies.

[44]  Rupert Wegerif,et al.  The Social Dimension of Asynchronous Learning Networks , 2019, Online Learning.

[45]  Douglas H. Fisher,et al.  Pass the Idea Please: The Relationship between Network Position, Direct Engagement, and Course Performance in MOOCs , 2017, L@S.

[46]  Julita Vassileva,et al.  Toward Social Learning Environments , 2008, IEEE Transactions on Learning Technologies.

[47]  Carlos Delgado Kloos,et al.  Who are the top contributors in a MOOC? Relating participants' performance and contributions , 2016, J. Comput. Assist. Learn..

[48]  David Mioduser,et al.  The Development of Social Climate in Virtual Learning Discussion Groups , 2002 .

[49]  Xiufang Chen,et al.  Online Education and Its Effective Practice: A Research Review , 2016, J. Inf. Technol. Educ. Res..

[50]  Stuart R. Palmer,et al.  Does the discussion help? The impact of a formally assessed online discussion on final student results , 2008, Br. J. Educ. Technol..

[51]  Mark Warschauer,et al.  Social Positioning and Performance in MOOCs , 2014, EDM.

[52]  Janette R. Hill,et al.  Social Learning Theory and Web-Based Learning Environments: A Review of Research and Discussion of Implications , 2009 .

[53]  Di Chen,et al.  The impact of students and TAs' participation on students' academic performance in MOOC , 2015, 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

[54]  K. Krentler,et al.  Does Technology Enhance Actual Student Learning? The Case of Online Discussion Boards , 2005 .

[55]  Pei-Luen Patrick Rau,et al.  Understanding lurkers in online communities: A literature review , 2014, Comput. Hum. Behav..

[56]  Zhenming Liu,et al.  Learning about Social Learning in MOOCs: From Statistical Analysis to Generative Model , 2013, IEEE Transactions on Learning Technologies.

[57]  Hector Zenil,et al.  A Review of Graph and Network Complexity from an Algorithmic Information Perspective , 2018, Entropy.

[58]  Michael Hammond,et al.  A REVIEW OF RECENT PAPERS ON ONLINE DISCUSSION IN TEACHING AND LEARNING IN HIGHER EDUCATION , 2019, Online Learning.

[59]  Jure Leskovec,et al.  Engaging with massive online courses , 2014, WWW.

[60]  Tenzin Doleck,et al.  Constructivist educational technology: Re-examining the foundations and state of the literature , 2020, Br. J. Educ. Technol..

[61]  Peggy A. Ertmer,et al.  MOOCocracy: the learning culture of massive open online courses , 2016 .

[62]  Jingjing Zhang,et al.  Understanding the dynamics of MOOC discussion forums with simulation investigation for empirical network analysis (SIENA) , 2016 .

[63]  P. K. Murphy,et al.  What the Discourse Tells Us: Talk and Indicators of High-Level Comprehension. , 2008 .