The core competency of the most effective organizations will be their capacity to learn in an increasingly complex and unpredictable business environment and HRD should expand its role to become a partner in the transformation of the entire organization. Organizational learning style, therefore, is an important research topic for the field of HRD (human resource development). This study had four primary purposes, which were germane to the corporations in the Republic of Korea: 1) to identify what organizational learning styles exist; 2) to identify the factors that differentiate the organizations with different organizational learning styles; 3) to identify the roles of HRD to facilitate organizational learning within the organizations in each organizational learning style; and 4) to identify the differences in the roles of HRD to facilitate organizational learning among the organizations with different organizational learning styles. The population for this study was the key informants at the corporations in the three industry areas: wholesale and retail trade; manufacturing; and hotels and restaurants. The survey instrument was delivered to 353 key informants, i.e. HR persons, at 240 corporations and 237 key informants at 166 corporations returned the survey instrument for a return rate of 67.1%. The findings of this study revealed the followings: 1) there are four types of organizational learning styles and the characteristics of each type of organizational learning style is determined by the combination of the organizations?? learning orientations, i.e. Knowledge Source, Learning Content, Dissemination Mode, and Learning Scope; 2) types of organizational culture, industry classification, and the size of an organization are the factors that differentiate the organizations with different organizational learning styles; 3) all roles of HRD are necessary for facilitating organizational learning; and 4) there are not differences in the roles of HRD to facilitate organizational learning among the organizations with different organizational learning styles.

The core competency of the most effective organizations will be their capacity to learn in an increasingly complex and unpredictable business environment and HRD should expand its role to become a partner in the transformation of the entire organization. Organizational learning style, therefore, is an important research topic for the field of HRD (human resource development). This study had four primary purposes, which were germane to the corporations in the Republic of Korea: 1) to identify what organizational learning styles exist; 2) to identify the factors that differentiate the organizations with different organizational learning styles; 3) to identify the roles of HRD to facilitate organizational learning within the organizations in each organizational learning style; and 4) to identify the differences in the roles of HRD to facilitate organizational learning among the organizations with different organizational learning styles. The population for this study was the key informants at the corporations in the three industry areas: wholesale and retail trade; manufacturing; and hotels and restaurants. The survey instrument was delivered to 353 key informants, i.e. HR persons, at 240 corporations and 237 key informants at 166 corporations returned the survey instrument for a return rate of 67.1%. The findings of this study revealed the followings: 1) there are four types of organizational learning styles and the characteristics of each type of organizational learning style is determined by the combination of the organizations?? learning orientations, i.e. Knowledge Source, Learning Content, Dissemination Mode, and Learning Scope; 2) types of organizational culture, industry classification, and the size of an organization are the factors that differentiate the organizations with different organizational learning styles; 3) all roles of HRD are necessary for facilitating organizational learning; and 4) there are not differences in the roles of HRD to facilitate organizational learning among the organizations with different organizational learning styles.

With the highly development of Internet, it¡¦s much easier than ever for student to commit plagiarism. However, there¡¦s still no related research regarding Internet plagiarism in Taiwan. Therefore, this study will be focused on student¡¦s Internet plagiarizing behaviors, which are committed by college students, and trying to understand the relationship among students¡¦ personality traits, learning styles, demographic characteristics, and their Internet plagiarizing behaviors. In this study, Internet plagiarism is given a definition by three different types: (1) after reading the contents of Internet materials, students paraphrase and put them in the papers without citation. (2) Students copy texts or data directly from the Internet materials then paste them in the papers without paraphrase and citation. (3)Students not only paraphrase some materials from Internet, but also copy and paste texts and data in the papers directly. 433 questionnaires were distributed in seven universities/colleges in Taiwan and completed by undergraduate and graduate students. The major findings after statistic analyses are as follow: (1)For the last experience of writing papers, the rate of Internet plagiarism committed by college students is up to 86.85%. (2)Students¡¦ Internet plagiarism behaviors have significant differences in gender, age, year level of graduate school, college or graduate school, and discipline, but no significant differences in personality trait, learning style, and year level of college. (3)Students who commit Internet plagiarism, deliberately or not, have significant differences in personality trait and college or graduate school, but no significant differences in learning style, gender, age, year level of college, year level of graduate school, and discipline. (4) Types of student plagiarism have significant differences in gender, age, college or graduate school, discipline, and reasons of plagiarism, but no significant differences in personality trait and learning style. (5)Students¡¦ square root plagiarizing levels have significant differences in personality trait, discipline, and reasons of plagiarism, but no significant differences in learning style, gender, year level of college, year level of graduate school, and college or graduate school. (6)Reasons of student plagiarism have significant differences in age and college or graduate school, but no significant differences in personality trait, learning style, age, year level of college, year level of graduate school, and discipline.

This study aimed to realize the relationship between learning styles and use of information communication and technologies (ICTs) of older adults in Taiwan, specifically how the learning styles of the elders predict their use of ICTs. Data was collected from a sample of 313 senior adults who are above 55 years of age in the senior centers in Kaohsiung City. The instrument of the Elders¡¦ Access and Use of ICT Questionnaire was developed by the author bases on Selwyn, Gorard & Furlong¡¦s Adult Learning @ Home Questionnaire 2002 and related literature. In addition, the researcher also investigated the learning style preferences using Kolb Learning Style Inventory. The findings from the research summarized as follows: (a) most of the participants were the ¡§Accommodators¡¨, (b) in terms of access and use of ICTs, the older adults had more access to communication technologies than to information technologies , (c) receiving the videio/visual informtation is the main activity when elders used ICTs (d) and there was a significantly positive correlation between concrete experiences/ active experimentation and their frequency of ICTs use while a significantly negative correlation between abstract conceptualization/ reflective observation and frequency of ICTs use. Specifically, (e) active experience is to the most significant predictor to the older adults¡¦ ICTs use. Recommendations were also provided based on the findings of this study. It is recommended the the government should encourage elders under 64 years old to use the ICTs, viewing them as important human resources and and provide assistance to retrain their IT skills . For the elders who were above 65 years of age, they should receive more opportunities to access ICTs and develop positive attitudes towards the use of ICTs. Results from this study provided suggestions and implications to the government, institutions and organizations on ICT policy implementations to make elders become productive human resources, and to help them age productively to achieve self-realization for the purpose of life long learning.

The problem under investigation in this study is whether or not matching or mismatching learning style to learning style task has an effect on students’ perceptions of academic self-efficacy and self-efficacy for self-regulated learning. Sixty-eight undergraduate and graduate students over the age of 18 participated (males: N= 14 and females: N=54). The students were selected into two groups (matched; N=34 and mismatched; N=34). Participants in the matched group were given a free-writing task that matched their most preferred learning style as determined by the Kolb Learning Style Inventory. Participants in the mismatched group were given a free-writing task that matched their least preferred style of learning. Immediately after, participants were asked to rate their perceptions of academic self-efficacy and self-efficacy for self-regulated learning. There was a significant main effect for group and learning task on perceptions of self-efficacy; t(63.74)=2.10, p=.04. The educational implications of these findings are that teachers need to be sure that students’ learning style needs are being met in the classroom or else it could negatively effect perceptions of self-efficacy, and thus future learning.

<p>U dana&scaron;nje vreme sve vi&scaron;e obrazovnih institucija kao &scaron;to su fakulteti koji nude e-obrazovanje. U nekim slučajevima učenje na daljinu je ukombinovano sa tradicionalnim oblicima učenja, dok se u drugim ono odvija u potpunosti samostalno putem internata. U svakom slučaju da bi učenje na daljinu moglo da se realizuje i da bi njime moglo da se upravlja potrebno je da postoji posebno okruženje u kom će se ono organizovati. U većini slučajeva Sistemi za obrazovanje na daljinu &ndash; (Learning management system &ndash; LMS) obavljaju ovaj zadatak. LMS obezbeđuje raznovrsne alate za podr&scaron;ku profesorima u kreiranju, administriraju i upravljanju online kursevima. S druge strane oni uglavnom ne uzimaju u obzir individualne razlike studenata i tretiraju sve studente na isti način bez obzira na njihove lične potrebe i karakteristike. U na&scaron;oj literaturi ne postoji puno radova koji se bave temom adaptivnog elektronskog obrazovanja, naročito ne sa aspekta izrade i implementacije modela adaptivnog elektronskog obrazovanja. Predmet ove doktorske disertacije je implementacija sistema za elektronsko obrazovanje koji je kreiran po modelu adaptivnog elektronskog obrazovanja i koji obezbeđuje za isto vreme veće neposredno znanje korisnika i pozitivno utiče na trajnost znanja, nego standardni neadaptivni sistem za elektronsko obrazovanje. U radu su kombinovane prednosti LMS-a sa adaptivnim sistemima i na taj način je pro&scaron;irena funkcija LMS-a tako &scaron;to su integrisani stilovi učenja i obezbeđena je adaptivnost sistema. Adaptivni model elektronskog obrazovanja koji je razvijen u radu je implementiran i procenjivan kori&scaron;ćenjem Moodle sistema. Ova doktorska disertacija imala je za cilj da na osnovu kreiranja, implementacije i kori&scaron;ćenja modela adaptivnog elektronskog obrazovanja ukaže na statistički značajnu mogućnost podizanja sveobuhvatnog nivoa i kvaliteta obrazovnog procesa.</p> / <p>Nowadays the majority of universities offer e-learning to their students. Sometimes distance learning is combined with traditional education, while in other cases it functions on its own by using the Internet. However, distance learning requires special surroundings where it can be organized. Learning management systems &ndash; LMSs are used in most of the cases for distance learning. LMS provides professors with various tools for creation, administration, and management of online courses. On the other hand, LMSs don&rsquo;t usually consider individual differences of students and treat all students in the same way, disregarding their personal needs and characteristics. In our literature, there are very few studies that analyze adaptive e-learning systems, especially the creation and implementation of adaptive e-learning models. The goal of this doctoral thesis has been creation and implementation of an adaptive model of the e-learning system which provides students with wider knowledge that lasts a longer period of time comparing to the knowledge acquired with standard (non-adaptive) systems of e-learning. The thesis has expanded the function of LMS by combining LMS with adaptive systems and incorporating students&rsquo; learning styles into it. The adaptive model that is developed in the thesis has been implemented and evaluated by using Moodle system. The aim of the doctoral thesis has been to point out at statistically significant probability of improving the level and quality of the educational process by creating, implementing and using the adaptive model of e-learning.</p>

The purpose of this study was to investigate the effects of four learning styles (accommodator, assimilator, converger, and diverger) and two different presentation methods (traditional and computer-based) on knowledge acquisition in a university classroom.

Aim. The aim of this study was to examine the generational differences of undergraduate nursing students’ learning style preferences and their preferred faculty teaching methods to the teaching methods used most often by nursing faculty in the classroom. Background. Nursing educators are responsible for creating learning environments that are effective for students that are in different generations and nursing educational pathways. Each generational cohort brings a collective set of characteristics, expectations, and preferences to the classroom, challenging educators to balance the generational learning styles of all students with respectable, evidence-based, pedagogical approaches. This study was one of the first to explore Generation Z’s preferred teaching method preferences used in the classroom. Method. Both descriptive and inferential statistical procedures were used for this study. A one-sample Wilcoxon signed-rank test was performed to evaluate the difference between each of the learning style preferences, followed by a Kruskal-Wallis test that compared the generational differences to the learning styles. A Likelihood-ratio Chi-square (LR χ2) was performed to assess for association between generational cohorts and their preferred teaching methods used in the classroom. Results. One hundred eighty-four undergraduate nursing students; and sixty-seven nursing faculty from ten Southeastern states were included in the sample for this study. Using the Index of Learning Styles® survey, results found nursing students had either a balanced active/reflective and sequential/global learning style, or a sensing or visual learning styles. With regards to preferred teaching methods, lecture, and the use of visual aids in the classroom were identified as the top teaching methods preferred by both student and faculty participants. Conclusion. Nurse educators are responsible for creating learning environments that are inclusive of students from diverse generational cohorts, spanning six decades and in multiple nursing educational pathways. These results provide new information for nursing educators to utilize in various academic settings.

To create a much-needed program for training novice and volunteer English teachers, Dr. Lynn Henrichsen put together a team of interested TESOL graduate students who developed materials and resources for this purpose. Under his supervision and mentorship, each student helped with the development of units for a website and book titled, Basic Training and Resources for Teaching English to Speakers of Other Languages (BTRTESOL). Recognizing the target audience as novice teachers with little or no training in teaching English as a second language, each graduate student approached the development of each unit for this BTRTESOL program with this in mind. These untrained teachers are filling the gap that exists in areas of the world that are in need of well trained, certified TESOL teachers but lack resources because of poverty and the large quantity of students wanting to learn English. Owing to the great demand for English skills and the lack of trained teachers, there is a great need for the resources that this program and project provide. My part in this program included the design and development of two units, "Teaching Styles and Cultural Differences" and "Understanding Students' Learning Styles." These two units seek to help novice teachers understand teaching styles, learning styles, the role of culture, and the cultural mismatches that may exist between a teacher's style of teaching and a student's style of learning. These training units help novice teachers learn how to identify, teach, and expand students' learning styles in order to help them improve students' learning. Additionally, the units include information directing users to other resources for more information on these topics.

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.