Innovative educators seek technologies to facilitate or enhance the learning experience while taking nothing away from the message of instruction. Simulations have been shown to meet this requirement. While simulations cannot replace the teacher or the message of instruction, they can provide a deeper and more cognitively engaging learning experience. Classroom use of simulations has been ongoing since the 1960's. However, substantive research on their efficacy remains limited. What research has been conducted indicates that simulations possess great potential as aids to instruction. The author of this dissertation pursued this question focusing on whether simulations contribute to instruction by facilitating transfer, improved motivation and increased engagement. This dissertation documents a study in which instructional simulations were used in undergraduate science courses to promote engagement, transfer and knowledge-seeking behavior. The study took place at Midwestern State University (MSU), a public university located in north-central Texas with a student population of approximately 5,500. The study ran during the fall 2006 and spring 2007 terms. Samples consisted of students enrolled in GNSC 1104 Life / Earth Science during the fall term and GNSC 1204 Physical Science during the spring term. Both courses were offered through the Department of Science and Mathematics at MSU. …

The intent of this study was to examine the relationship between media multitasking orientation and grade point average. The study utilized a mixed-methods approach to investigate the research questions. In the quantitative section of the study, the primary method of statistical analyses was multiple regression. The independent variables for the study were media multitasking orientation, gender, age, and income. The dependent variable for the study was grade point average. Three out of four independent variables, namely, media multitasking orientation, gender and age were statistically significant predictors of grade point average. In the qualitative section of the study, seven participants were interviewed to determine how individual differences in media multitasking orientation manifest themselves in academic settings.

This study sought to determine if the dominant learning styles of high school teachers is related to the amount of time computers are used in the classroom by students. It also examined the types of software used by those teachers, and their levels of technology adoption. Subjects (N=177) were from high schools in a large urban school district. Instrumentation included the Gregorc Style Delineator, a modified version of the Snapshot Survey and the Stages of Adoption of Technology. An ANOVA showed no statistical significance between teachers with different dominant learning styles in the numbers of minutes per week that computers were utilized in their classrooms with students. A chi square test showed no statistical significance in the types of software used in the classrooms of teachers with different dominant learning styles. A chi square test showed no statistical significance in the Stages of Technology Adoption of teachers with different dominant learning styles.

Human behaviors and social norms are transferred to the Internet in complex and divergent ways. The term online disinhibition has been coined to describe situations when Internet users seem to behave more openly and unrestrained online, often acting in ways they would not dare to act in the face-to-face world. According to Suler, there is a need for future research to "focus on which people, under what circumstances, are more predisposed to the various elements of online disinhibition." With this in mind, this descriptive study sought to determine whether or not people are more true to their authentic psychological identities (i.e., genders) during online interaction or create completely new identities because of the more permissive social norms created by cyberspace. Through video recorded face-to-face discussions, reflective online discussions, open-ended online surveys, and semi-structured interviews, qualitative data was collected for analysis. The results and findings demonstrated that some personality traits are magnified during online interaction, but individuals ultimately stay true to their established gender roles.

E-learning exposes students and instructors to different learning models such as constructivism rather than the traditional learning. E-learning as a part of today's technology has proven that it is appropriate for most students' mentalities and is a mind tool which promotes different learning models, such as problem solving strategy, collaborative learning, and critical thinking. The Public Authority for Applied Education and Training (PAAET) in Kuwait consists of more than 10 academic colleges with a total number of 120 faculty members. The College of Basic Education (CBE) is one of them. The implementation of e-learning at the College of Basic Education requires that all the learning community members, instructors and students, understand that an e-learning course is like a learning community with the privilege of sharing knowledge, opinions, experiences related to class subject, and productive outcomes that are beneficial to this learning community. This study indentified the statistically significant differences in demographic characteristics of e-learning adopters and non-adopters among faculty members at CBE, examining faculty members' attitudes and skills toward e-learning readiness. The study will explore perceived barriers that face e-learning at CBE. Applying the Rogers diffusion of innovation theory, the influence of 4 factors was examined regarding faculty readiness for …

The purpose of this study was to explore the factors influencing information and computing technology (ICT) adoption for Omani faculty members from a framework of Rogers' theory of diffusion of innovation. Three hundred Omani faculty members from Sultan Qaboos University (SQU) participated in the study. The survey consisted of five parts: (a) an 18-item questionnaire on ICT uses and skills, (b) a 1-item questionnaire on adopter category, (c) a 44-item self-constructed questionnaire on perception of barriers to adopting ICT, (d) a 50-item questionnaire on ICT attributes adapted from Moore and Benbasat, and (e) a 15-item questionnaire on demographic and job-related variables. Descriptive statistics indicated that the faculty members overall used ICT at the "Sometimes" level and had ICT skills at the "Intermediate" level. The most frequently used and skillful ICT functional areas were Website browsing, Internet search engine, and word processing. One-way ANOVAs found significant group differences of ICT uses and skills, perception of barriers, and perception of ICT attributes in the category of adopter. Early adopters used ICT more, had higher ICT skills, perceived fewer barriers in the adopting process, and recognized higher values of ICT attributes than later adopters did. Multiple regression analysis showed the level of ICT …

This study examines middle school students' perceptions of a future career in a science, math, engineering, or technology (STEM) career field. Gender, grade, predispositions to STEM contents, and learner dispositions are examined for changing perceptions and development in career-related choice behavior. Student perceptions as measured by validated measurement instruments are analyzed pre and post participation in a STEM intervention energy-monitoring program that was offered in several U.S. middle schools during the 2009-2010, 2010-2011 school years. A multiple linear regression (MLR) model, developed by incorporating predictors identified by an examination of the literature and a hypothesis-generating pilot study for prediction of STEM career interest, is introduced. Theories on the career choice development process from authors such as Ginzberg, Eccles, and Lent are examined as the basis for recognition of career concept development among students. Multiple linear regression statistics, correlation analysis, and analyses of means are used to examine student data from two separate program years. Study research questions focus on predictive ability, RSQ, of MLR models by gender/grade, and significance of model predictors in order to determine the most significant predictors of STEM career interest, and changes in students' perceptions pre and post program participation. Analysis revealed increases in the perceptions …