In the e-learning systems, a learning path is known as a sequence of learning materials linked to each others to help learners achieving their learning goals. As it is impossible to have the same... Show More

In the e-learning systems, a learning path is known as a sequence of learning materials linked to each others to help learners achieving their learning goals. As it is impossible to have the same learning path that suits different learners, the Curriculum Sequencing problem (CS) consists of the generation of a personalized learning path for each learner according to one's learner profile. This last one includes one's knowledge and preferences. In fact the CS problem is considered as NP hard problem, so many heuristics and meta-heuristics have been used to approximate its solutions. Therefore the results have shown their efficiency to solve such a problem. This work presents a DNA computing approach that aims to solve the CS problem.

Virtual Learning Environments have been the center of attention in the last few decades and help educators tremendously with providing students with educational resources. Since artificial... Show More

Virtual Learning Environments have been the center of attention in the last few decades and help educators tremendously with providing students with educational resources. Since artificial intelligence was used for educational proposes, learning management system developers showed much interest in making their products smarter and more intelligent. Nevertheless, the questions of what an intelligent learning management system (ILSM) is and which tools and features are needed to make such system intelligent, are not clearly answered, therefore educational institutes do not have a proper tool to decide upon the degree of intelligence they need for their LMSs. This paper proposes a prevalent, thorough definition of “Intelligent Learning Management Systems”, and the design of a fuzzy model to measure the intelligence of these systems. In order to devise a comprehensive definition of an Intelligent Learning Management System, experts from around the world were consulted. Following that, different proposed Intelligent Learning Management Systems were studied, and forty-one features and tools were found and analyzed. After the analysis, experts' opinions were taken into account to rank these features. The paper proposes thirteen most significant features and tools as criteria to be used in fuzzy analytic hierarchy process (AHP) as a fuzzy model to measure the intelligence of Learning Management System.

Students engage in many learning activities outside of class but, it is not easy for them to learn on their own because they also need to identify what activities to perform, decide how long to... Show More

Students engage in many learning activities outside of class but, it is not easy for them to learn on their own because they also need to identify what activities to perform, decide how long to engage in them, evaluate their progress, shift to other activities if needed and avoid distractions aside from others. This research designed and implemented a learning support tool called Sidekick, which used a retrospective approach to help students analyze and evaluate their own behavior so they can adjust it accordingly. The results showed that students benefitted from understanding their behavior more. It also showed how students' learning behavior changed over time and the differences in the type and amount of change between learning sessions according to students' level of autonomy. Less autonomous students seemed to improve less compared to highly autonomous students however, the system was able to encourage them to recall and self-evaluate which they might not have done without the system.

The class quasi-experiment was conducted to determine whether using computer simulation teaching strategy enhanced student understanding of statistics concepts for students enrolled in an... Show More

The class quasi-experiment was conducted to determine whether using computer simulation teaching strategy enhanced student understanding of statistics concepts for students enrolled in an introductory course. One hundred and ninety-three sophomores in hospitality management department were invited as participants in this two-year longitudinal study. Students received computer simulation intervention in experimental group and traditional teaching method in control group. In particular, learning effectiveness difference was found in two groups. The pretest scores were found to do something with the improvement rate. The preliminary results of this study indicated some evidence that these methods may improve student understanding of statistics concepts.

Eye and head movements evoked in response to obvious visual attention shifts. However, there has been little progress on the causes of absent-mindedness so far. The paper proposes an attention... Show More

Eye and head movements evoked in response to obvious visual attention shifts. However, there has been little progress on the causes of absent-mindedness so far. The paper proposes an attention awareness system that captures the conditions regarding the interaction of eye gaze and head pose under various attentional switching in computer classroom. Via the algorithm of complexion area detection, eye location and eye tracking, the system detects the shifts of the subject's attention, records it and sends a notification to the class teacher. In five variant experiments of attentional shift, the authors find the cues of subjects when turning to other directions, moving forwards or backwards, and closing eyes. It applies even if the students wear glasses or have hair fringe. The findings of absent-mindedness are very important for psychologists or educators conducting post-hoc analysis. These experimental results show eye tracking are useful for detecting shift of attention.

In Taiwan, courses in the current online learning environment enroll at least 40-100 students, and it is difficult for teachers to manage the learning situation of each student. The proposed system... Show More

In Taiwan, courses in the current online learning environment enroll at least 40-100 students, and it is difficult for teachers to manage the learning situation of each student. The proposed system treats learning portfolio, knowledge structure, and ability indicator of students as the key points of learning situations. The system integrates the information into the same framework and interface to acquire overall information of students. The learning activities in the proposed system include three stages: self-learning stage, mutual learning stage and guidance stage. This study adopted Multi-Phase Guided Remedial Learning Strategy in a learning evaluation. The learning evaluation yields positive experimental results. The evaluation shows that the proposed learning activities are effective for students learning.