A web-based self-testing system with some features of Web 2.0: Design and primary implementation

Self-testing is a means to check learning effect. Besides time-space restriction, there are many deficiencies in traditional offline self-testing. With the development of information technology, learners can have self-testing on the Internet. Self-testing on Internet, namely, web-based self-testing, overcomes time-space limitation of traditional offline self-testing, but there are still several disadvantages such as monotony and lack of interaction. In the article, a web-based self-testing system with some features of Web 2.0 is designed and implemented, aiming at overcoming the weaknesses of current online self-testing system. Firstly, taking English self-testing as an example, the framework of the system and functions of its main modules is designed according to theories of social learning and constructivism as well as the idea of Web 2.0 and the characteristics of server-side programming. Secondly, in accordance with the design above, a new system is implemented for English learners primarily by using HTML, JavaScript, PHP, and MySQL comprehensively. The role and duty of webmaster are also described briefly. To test the system, some English learners were invited randomly to use it, and feedback information was collected from them after a period of time. It is shown by feedbacks that most learners are satisfied with the system, and the system is of distinct features and favorable practicality compared with other systems, but it still needs to be improved in the design of user interface and some other details. Results in the article demonstrate that the new system can overcome the shortcomings of current systems to some extent.

[1]  Branka Spehar,et al.  Resource use and academic performance among first year psychology students , 2007 .

[2]  Constance Kamii,et al.  Basing Teaching on Piaget's Constructivism , 1996 .

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

[4]  Terry Anderson,et al.  The Theory and Practice of Online Learning , 2009 .

[5]  Raafat George Saadé,et al.  The impact of cognitive absorption on perceived usefulness and perceived ease of use in on-line learning: an extension of the technology acceptance model , 2005, Inf. Manag..

[6]  T. Jordan.  Cyberpower: The culture and politics of cyberspace and the Internet , 1999 .

[7]  J. Maypole,et al.  Students' Perceptions of Constructivist Learning in a Community College American History 11 Survey Course , 2001 .

[8]  Barry Harper,et al.  ICT in higher education: evaluating outcomes for health education , 2001, J. Comput. Assist. Learn..

[9]  Mary K. Tallent-Runnels,et al.  Teaching Courses Online: A Review of the Research , 2006 .

[10]  I. Rosenstock,et al.  Social Learning Theory and the Health Belief Model , 1988, Health education quarterly.

[11]  D. Garrison,et al.  Facilitating Cognitive Presence in Online Learning: Interaction Is Not Enough , 2005 .

[12]  Christine Greenhow,et al.  Using activity-oriented design methods to study collaborative knowledge-building in e-learning courses within higher education , 2007, Int. J. Comput. Support. Collab. Learn..

[13]  ChanMin Kim,et al.  Using email to enable e3 (effective, efficient, and engaging) learning , 2008 .

[14]  Yoany Beldarrain,et al.  Distance Education Trends: Integrating new technologies to foster student interaction and collaboration , 2006 .

[15]  F. Fischer,et al.  A framework to analyze argumentative knowledge construction in computer-supported collaborative learning , 2006, Comput. Educ..

[16]  Stephen W. Liddle,et al.  Web 2.0 Learning Platform: Harnessing Collective Intelligence. , 2007 .

[17]  Lars Frederiksen,et al.  Why Do Users Contribute to Firm-Hosted User Communities? The Case of Computer-Controlled Music Instruments , 2006, Organ. Sci..

[18]  Eric T. G. Wang,et al.  Understanding knowledge sharing in virtual communities: An integration of social capital and social cognitive theories , 2006, Decis. Support Syst..

[19]  Daniel D. Suthers,et al.  Beyond threaded discussion: Representational guidance in asynchronous collaborative learning environments , 2008, Comput. Educ..

[20]  Ron Oliver,et al.  Student responses to collaborating and learning in a web-based environment , 2001, J. Comput. Assist. Learn..

[21]  John Brooks,et al.  In Search of Understanding: The Case for Constructivist Classrooms , 1993 .

[22]  Judith McNamara,et al.  Assessment of online discussion in work‐integrated learning , 2009 .

[23]  A. Bandura.  Social learning theory , 1977 .

[24]  James B McGee,et al.  What medical educators need to know about “Web 2.0” , 2008, Medical teacher.

[25]  Shiu-Li Huang,et al.  Designing a semantic bliki system to support different types of knowledge and adaptive learning , 2009, Comput. Educ..

[26]  R. Mason,et al.  Using Web 2.0 for learning in the community , 2007, Internet High. Educ..

[27]  Gilad Ravid,et al.  De-lurking in virtual communities: a social communication network approach to measuring the effects of social and cultural capital , 2004, 37th Annual Hawaii International Conference on System Sciences, 2004. Proceedings of the.