Every student has their own learning style. Some students may prefer to read the learning material while some other students may prefer to discuss with their colleagues to help them understanding the information more effectively. One of the learning materials is Unified Modeling Language or UML. UML is an industry standard language to specify, visualize, construct, and document the artifacts of software systems. Today, many UML online learning sites are designed to give added information to students other than face-to-face interaction in the classroom. However, most of UML materials provided by the online learning resources are limited to text-based material which is suitable only for students with verbal learning styles. This research aims to identify and analyze the needs before developing a prototype of an adaptive online module. The research is also driven by the need to develop a prototype of adaptive online module that is based on the student's learning style categories in order to help students understand UML better. The result of this research is a prototype of adaptive online module which will identify students' learning styles and lead the students to learning environment that suits their learning style.

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Traditionally, research in Human-Computer Interaction (HCI) kept focusing on system usability. Nowadays, user experience is also taken into consideration, complementing system usability, as important aspects of the system. Adaptive Online Module System is an adaptive e-learning system that automatically adjusts its behavior according to the student’s learning style. User Experience Questionnaire (UEQ) Indonesian version is selected in this study to assess the user experience of Adaptive Online Module System. Most results of the Adaptive Online Module System user experience measurement are positive. In the grouped result, adaptive online module system has positive scores in Attractiveness, Pragmatic Quality and Hedonic Quality. On all six scales of UEQ result (Attractiveness, Perspicuity, Efficiency, Dependability, Stimulation and Novelty). Adaptive Online Module System has a positive benchmark. The benchmark results are ranging from above average to excellent. Adaptive Online Module System also has a positive result and sufficient consistency in all of six scales except novelty scale.

No abstract

Every student has their own learning style. Some students may prefer to read the learning material while some other students may prefer to discuss with their colleagues to help them understanding the information more effectively. One of the learning materials is Unified Modeling Language or UML. UML is an industry standard language to specify, visualize, construct, and document the artifacts of software systems. Today, many UML online learning sites are designed to give added information to students other than face-to-face interaction in the classroom. However, most of UML materials provided by the online learning resources are limited to text-based material which is suitable only for students with verbal learning styles. This research aims to identify and analyze the needs before developing a prototype of an adaptive online module. The research is also driven by the need to develop a prototype of adaptive online module that is based on the student's learning style categories in order to help students understand UML better. The result of this research is a prototype of adaptive online module which will identify students' learning styles and lead the students to learning environment that suits their learning style.