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A study on the evaluation and effectiveness analysis of web‐based learning portfolio (WBLP)
Author(s) -
Chang ChiCheng
Publication year - 2001
Publication title -
british journal of educational technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.79
H-Index - 95
eISSN - 1467-8535
pISSN - 0007-1013
DOI - 10.1111/1467-8535.00212
Subject(s) - cronbach's alpha , computer science , interface (matter) , reliability (semiconductor) , process (computing) , grasp , test (biology) , learning management , portfolio , web application , human–computer interaction , knowledge management , multimedia , software engineering , psychology , world wide web , psychometrics , clinical psychology , paleontology , power (physics) , physics , bubble , quantum mechanics , maximum bubble pressure method , parallel computing , financial economics , economics , biology , operating system
This research evaluates a Web‐Based Learning Portfolio through practical teaching process to understand if the WBLP system helps students to grasp the learning process and enhances learning outcomes. The questionnaire includes four aspects: system functions, interface, system use, and its impacts on learning process. The questionnaire has gone through the processes of pre‐test and pilot‐study to verify its validity. The Cronbach's alpha coefficients are all above 0.75, and thus show that the reliability level of the questionnaire has attained a rather reliable level. As many as 85.84% of the users regard the functions of the WBLP system appropriate, 80% regard the system interface easy to operate, 48.3% perform very well in system, 88.84% feel the system has benefited their learning. The evaluation results reveal there is still a room of improvement, eg, the system has not yet established a complete mechanism for scoring. The insufficiency in terms of dynamic management functions for supporting users is yet to be improved. Then will we be able to extend the WBLP to a more powerful system that can truly support the assessments and auto‐management work. We will conduct a further experimental study in terms of learning effectiveness for the system.