The design and the formative evaluation of an adaptive educational system based on cognitive styles

Adaptive Hypermedia for Education and Training

“…The student can navigate between hub concept pages along conceptual links and from hub pages to the pages with educational material. An even faster approach to navigate to specific KE and associated educational content can be provided by a visual representation of the domain model (also known as a domain map), which is used in AEH systems such as AES-CS (Triantafillou, Pomportis & Demetriadis, 2003). The enhanced concept-based hyperspace approach was used to create relatively large AEH systems with quite straightforward structure, and allows for a number of adaptation techniques (Kavcic, 2004;Papanikolaou et al, 2003;Steinacker et al, 2001).…”

“…ISIS-Tutor (Brusilovsky & Pesin, 1998), AES-CS (Triantafillou et al, 2003), ELM-ART (Weber & Brusilovsky, 2001), and a number of other systems use annotation to show that a concept page is not ready to be learned (i.e., its prerequisite concepts are not yet learned).…”

Granular Mining of Student’s Learning Behavior in Learning Management System Using Rough Set Technique

“…The early research that concern with student's learning style used questionnaire to assess the student's learning characteristics [9,10,11,12]. However, the exploitation of questionnaires is time consuming and unreliable approach for acquiring learning style characteristics and may not be accurate [13,14,15].…”

“…8 shows the performance comparison of two classifiers using the same rule support but different rule length. The rule length being considered in this study is (4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15) which is the rule length of the original rules generated, and (4-8) is the range of the rule length that gives the highest accuracy ( Table 9). The comparison result illustrates that even though the rule length has been reduced; as a whole, the accuracy rate is not much affected compared to the classification rates with the initial rule length.…”

Adaptive Educational Hypermedia Based on Multiple Student Characteristics

“…According to Carver et al [8] current student models normally limit characteristics to a single dimension. AES-CS [9] is an adaptive educational system that includes accommodations for cognitive styles in order to improve student interactions and learning outcomes. INSPIRE [10] is an adaptive system that monitors learner's activity and dynamically adapts the generated lessons to accommodate diversity in learner's knowledge state and learning style.…”