This thesis hypothesizes that a method for selecting instructional strategies (specifically media) based in part on a relationship between learning style preference and personality preference provides more relevant and understandable feedback to students and thereby higher learning effectiveness. This research investigates whether personality preferences are valid predictors of learning style preferences. Since learning style preferences are a key consideration in instructional strategies and instructional strategies are a key consideration in learning effectiveness, this thesis contributes to a greater understanding of the relationship between personality preferences and effective learning in intelligent tutoring systems (ITS). This research attempts to contribute to the goal of a "truly adaptive ITS" by first examining relationships between personality preferences and learning style preferences; and then by modeling the influences of personality on learning strategies to optimize feedback for each student. This thesis explores the general question "what can personality preferences contribute to learning in intelligent tutoring systems?" So, why is it important to evaluate the relationship between personality preferences and learning strategies in ITS? "While one-on-one human tutoring is still superior to ITS in general, this approach is idiosyncratic and not feasible to deliver to [any large population] in any cost-effective manner." (Loftin, 2004). Given the need for ITS in large, distributed populations (i.e. the United States Army), it is important to explore methods of increasing ITS performance and adaptability. Findings of this research include that the null hypothesis that "there is no dependency between personality preference variables and learning style preference variables" was partly rejected. Highly significant correlations between the personality preferences, openness and extraversion, were established for both the active-reflective and sensing-intuitive learning style preferences. Discussion of other relationships is provided.

The purpose of this study was to determine the learning styles of preparatory school students from Gazi University and examine the relationship between students&rsquo / learning style preferences (LSP) and faculty students will study in, gender, proficiency level of English and achievement scores on listening, reading, grammar, and writing in the English Course. The instrument, Index of Learning Styles (ILS), was administered to 367 randomly selected students. As for the data analysis, descriptive statistics portrayed the frequencies, percentages, means and standard deviations, the t test was conducted to see whether students&rsquo / achievement scores differ according to their LSPs and the Crosstabs procedure was conducted to investigate whether the LSPs of the students at Gazi University differ according to faculty they will study in, gender and level of proficiency. The results indicated that there was no significant difference between students&rsquo / LSPs and faculty, gender, level and achievement scores.

This paper addresses the question of whether higher education Hispanic students of different nationalities have different perceptual learning style preferences. Independent samples t-tests findings suggest the country of origin of a Hispanic student's parents has a statistically significant relationship (n=165, p<0.0073) with student's learning style preferences. ANOVA results also identified a statistically significant relationship between SES and group learning style (p<0.004,) and between visual learning style and two factors: age (p<0.011) and family education (p<0.033).