The design and implementation of user-trust based social review method and system in online learning

Homework review is a crucial process oi learning in which teachers can assess the learning condition oi students and the whole class. Accordingly, teachers can make adjustments for further teaching. However, there are some key problems which make homework review a pressure ior teachers, such as large amount of assignments versus teachers' limited time. Under this condition, teachers could not give personalized, immediate and knowledge points based feedback. These result in negative effects on students. Thus, this study proposes a social review method to help teachers review homework more efficiently and timely, while giving social participants with particular credibility in specific subject access to homework review. The credibility is determined by 3 factors including user score, knowledge level of the subject and the review credibility. After the review the result will be visualized. Based on the method mentioned above, a social review system was designed, developed and used in a photographic course. The result indicated that the system was easy to use and satisfied teachers' and students' demands. In addition, the findings demonstrated that this system facilitated the learning process by increasing the effective interactions, reducing the irrelevant interactions and formed some new interaction patterns among students.

[1]  Gloria Yi-Ming Kao Enhancing the quality of peer review by reducing student "free riding": Peer assessment with positive interdependence , 2013, Br. J. Educ. Technol..

[2]  Shaofeng Li,et al.  The differential effects of immediate and delayed feedback on learners of different proficiency levels , 2016 .

[3]  M. Hossain,et al.  Crowdsourcing: Activities, incentives and users' motivations to participate , 2012, 2012 International Conference on Innovation Management and Technology Research.

[4]  Minjuan Wang,et al.  From Learning Object to Learning Cell: A Resource Organization Model for Ubiquitous Learning , 2013, J. Educ. Technol. Soc..

[5]  Gabriella Kazai,et al.  In Search of Quality in Crowdsourcing for Search Engine Evaluation , 2011, ECIR.

[6]  Alain Jaillet,et al.  Can Online Peer Assessment be Trusted? , 2009, J. Educ. Technol. Soc..

[7]  Manuel Blum,et al.  reCAPTCHA: Human-Based Character Recognition via Web Security Measures , 2008, Science.

[8]  Gwo-Jen Hwang,et al.  A two-tier test approach to developing location-aware mobile learning systems for natural science courses , 2010, Comput. Educ..

[9]  Jyh-Chong Liang,et al.  Examining the role of feedback messages in undergraduate students' writing performance during an online peer assessment activity , 2015, Internet High. Educ..

[10]  B. Zimmerman,et al.  Developing Self-Regulation Skills: The Important Role of Homework , 2011 .

[11]  Shengquan Yu,et al.  Student-generated content in college teaching: content quality, behavioural pattern and learning performance , 2016, J. Comput. Assist. Learn..

[12]  Chih-Ming Chen,et al.  Ontology-based concept map for planning personalized learning path , 2008, 2008 IEEE Conference on Cybernetics and Intelligent Systems.

[13]  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..

[14]  Gayle C. Ferguson,et al.  Computer-Assisted and Peer Assessment: A Combined Approach to Assessing First Year Laboratory Practical Classes for Large Numbers of Students , 2008 .

[15]  N. Falchikov,et al.  Student Peer Assessment in Higher Education: A Meta-Analysis Comparing Peer and Teacher Marks , 2000 .

[16]  Ted S. Sindlinger,et al.  Crowdsourcing: Why the Power of the Crowd is Driving the Future of Business , 2010 .

[17]  John Dowell,et al.  Collaborative Knowledge Construction: Examples of Distributed Cognitive Processing , 2010 .

[18]  Binbin Zheng,et al.  Interactions and learning outcomes in online language courses , 2017, Br. J. Educ. Technol..

[19]  Gwo-Jen Hwang,et al.  An interactive peer-assessment criteria development approach to improving students' art design performance using handheld devices , 2015, Comput. Educ..

[20]  Shengquan Yu,et al.  Designing a trust evaluation model for open-knowledge communities , 2014, Br. J. Educ. Technol..

[21]  Daniel Reinholz,et al.  The assessment cycle: a model for learning through peer assessment , 2016 .

[22]  A. King Enhancing Peer Interaction and Learning in the Classroom Through Reciprocal Questioning , 1990 .