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.

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 …

Regardless of culture or nation, students today are experiencing bullying via technology. With the rise of technology, this abuse has the ability to become more far-reaching, and more pervasive than ever. These students face oppression, and in some cases severe imbalances of power. Current research is being conducted and laws created based on varying operational and conception definitions of the term "cyberbullying." This study aims to analyze and provide a coherent definition for the term "cyberbullying" as it is used in research and legislation, especially in the context of today's educational environments. The results help shed light on the large variances in the term and suggestions are made to clarify the definition as the field continues to move forward.