This study was undertaken to determine the learning style preferences of first and 2nd year BDS students by administering VARK questionnaire. Stepping stone method was used to identify sensory modality preference of each student. 51% students preferred single mode of learning style (27% kinesthetic, 15% aural, 6% read/write and 3% visual mode of learning style). 49% students preferred multiple ...

Several approaches to teaching undergraduate physics and engineering students using both the Dunn and Dunn and the Kolb Learning Style Models are discussed. The Dunn and Dunn Learning Style Model is employed with non-majors enrolled in introductory physics at American University and the Kolb Learning Style Model is employed with freshman engineering students at Purdue University. The basic elem...

Different formal learning models address different aspects of learning. Below we compare learning via queries—interpreting learning as a one-shot process in which the learner is required to identify the target concept with just one hypothesis—to Gold-style learning—interpreting learning as a limiting process in which the learner may change its mind arbitrarily often before converging to a corre...

Learning style can be regarded as the product of a student’s learning. It is important to explore how students conduct individualized learning with their unique learning style in the ever-changing e-learning environment The main purpose of this paper is to investigate the learning effect under different adaptive instructional strategies based on the sequencing rule of SCORM 1.3. The study desig...

this study investigated language learning styles of iranian efl learners and their class achievement. to this end, sixty female ad- vanced learners of instruction and different ages (15-30), studying at a language institute in shiraz were asked to take part in the study. a 30- item language learning styles questionnaire developed by reid (1987) was employed to elicit information for the study. ...

This paper introduces NL, a learning algorithm for inferring non-deterministic finite-state automata using membership and equivalence queries. More specifically, residual finite-state automata (RFSA) are learned similar as in Angluin’s popular L algorithm, which however learns deterministic finite-state automata (DFA). As RFSA can be exponentially more succinct than DFA, RFSA are the preferable...

This study aims to develop the core mechanism for realizing the development of personalized adaptive elearning platform, which is based on the previous learning effort curve research and takes into account the learner characteristics of learning style and self-efficacy. 125 university students from Taiwan are classified into 16 groups according to learning efficiency, learning style and self-ef...