Artificial Intelligent System for Multimedia Answering Presentations on Online Social Networks
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Abstract
The purposes of this study were 1) to develop an artificially intelligent system for multimedia answering presentations on online social networks, 2) to study the effects of implementing the developed artificial intelligent system for multimedia answering presentations on online social networks. The research methodology experimented with students of Chandrakasem Rajabhat University in the major of multimedia technology. The samples were 60 students. They were selected by a purposive sampling method, 30 students in an experimental group and 30 students in a control group. Research instruments consisted of 1) system model suitability assessment form, 2) system quality assessment form, 3) learning achievement test, and 4) satisfaction assessment form. Data were analyzed by using the arithmetic mean, standard deviation, and t-test. The research findings indicated that artificially intelligent systems for multimedia answering presentations on online social networks consisted of four components: 1) message and question analysis system, 2) knowledge database, 3) AI learning system, 4) multimedia answer delivery system. The suitability of the system model was validated at a “high” level. The quality of the developed system was validated at a “high” level by the black box testing technique. The efficiency of the developed system was validated at a “high” level. according to the KW-CAI criteria was 92%. The students’ learning achievement in the experimental group was “higher” than that in the control group at the level .01. The students rated their satisfaction with the developed system at the “high” level as well.
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