A Multiple Intelligences Supported Web-based Collaborative Learning Model Using Stufflebeam’s CIPP Evaluation Model
Monchai Tiantong, Pramote Tongchin

Abstract
The development of web-based collaborative learning is one of the most expanding areas of education and training in the era of information and communication technology, because it enables students to have diverse experiences at any time and any place, to communicate with each other via e-mail, chat, and instant messenger, to improve their knowledge and skills with synchronous and asynchronous tools. However, web-based collaborative learning do not guarantee the quality and is not appropriate for all, because students have different level of intelligence. It makes sense to address as many of these intelligence level as possible in the classrooms and in lesson plans. All students want to frame their work in the best possible light and learn in the way that will stick. Empowering students to learn through multiple modalities fosters a collaborative classroom where students are comfortable experimenting and letting others experiment. This study introduces a multiple intelligences supported web-based collaborative learning model using Stufflebeam’s CIPP evaluation model, that employed mixed innovations consisting the web-based learning, the collaborative learning technique and the Stufflebeam’s CIPP evaluation model. The model was synthesized by using ten experts and evaluated by five experts. In conclusion, this can be used the synthesized model to complete the web-based collaborative learning lesson successfully.

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