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This study assessed 96 law school students’ preferences for online, hybrid, or traditional learning environments, and their reasons for these preferences, learning strategies, and motivational orientations. A discriminant analysis revealed that non-traditional learning environment familiarity, self-efficacy, and employment status were the strongest predictors of preferences for non-traditional ...

Student learning may be classified according to the sensory modalities by which one prefers to take in information. One such classification scheme uses the VARK instrument, which categorizes learning preferences as visual (V), auditory (A), reading-writing (R), or kinesthetic (K). Many students have a single, strong preferences ("unimodal"), whereas others have multiple ("multimodal") learning ...

We present a preliminary report about formal models for the task of learning user preferences. Learning user preferences by examples is described under content-based learning models, such as the Mistake-bound Model and the Probably Approximately Correct (PAC) model of Computational Learning Theory. Then we describe the learning of user preferences under a collaborative-based learning schema ins...

This paper explored students’ preferences toward the constructivist Internet-based learning environments. A Constructivist Internet-based Learning Environment Survey (CILES) was developed. The CILES consisted of six scales, including student negotiation, inquiry learning, reflective thinking, relevance, ease of use and challenge. Questionnaire responses gathered from more than 700 high school s...

OBJECTIVE The present study aimed to identify the most common learning preferences among the nursing students in Saudi Arabia and to investigate the associations of certain demographic variables with the learning preferences. METHODS All the undergraduate nursing students in the nursing college were requested to participate in this descriptive cross-sectional study. An Arabic version of the F...