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Every student has different learning styles. They have tendency in perceiving, interacting and processing information they have learned. Those tendencies can be identified by assessing stodente' learning styles using the Index of Learning Style (ILS). ILS is commonly used to identify engineering student's learning style in learning personalization system. However, this questionnaire is developed in...
Each learner has their own preferences in the learning process. Differences in preferences are closely related to the learning style of each learner. Personalization of e-learning is an overview of online learning that has been customized content based on learning styles of each learner. Detecting learning style needs a technique that is effective and accurate. This study combines literature based...
As a key aspect of product development, usability of a product is needed to be assessed by conducting usability evaluation. Within the usability evaluation methods, there are several usability assessment questionnaires; one of the most commonly used is the System Usability Scale (SUS). However, the SUS is originally developed in English and there had not been any study conducted to develop the Indonesian...
One promising approach for pixel-wise semantic segmentation is based on higher-order Conditional Random Fields (CKFs). We aim to selectively choose segments for the higher-order CRFs in semantic segmentation. To this end, we formulate the selection as an optimization problem. We propose three optimization criteria in relation to the selected segments, namely: a) averaged goodness, b) coverage area...
One of the emerging issue in e-learning is to create adaptive learning based on learner's perspective. Adaptive learning can be realized through personalization of e-learning. Personalized learning help learners to use their best performance in order to reach learning goals based on their needs, preferences, and characteristics. To accomodate different characteristics of the learners, learning content...
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