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EQ in online learning

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Lucaj.pdf (application/pdf Object) Browning.pdf (application/pdf Object) Emotional Intelligence as a Predictor of Success in Online Learning | Berenson. Robin Berenson American Public University System USA Gary Boyles Argosy UniversityUSA Ann Weaver Argosy UniversityUSA Abstract As students increasingly opt for online classes, it becomes more important for administrators to predict levels of potential academic success. This study examined the intrinsic factors of emotional intelligence (EI) and personality to determine the extent to which they predict grade point average (GPA), a measure of academic success, among students attending community college.

Keywords: Online student success; online learning; emotional intelligence; personality; persistence; characteristics of online learning Introduction Innovative delivery technologies have expanded the traditional classroom setting to distance or online learning, but whether the characteristics of students who are successful in the traditional classroom setting transfer to success in online classes is unknown.

Our primary research question was whether EI is a predictor of GPA. Method Materials. Degree and Reciprocity of Self-Disclosure in Online Forums. To cite this article:Azy Barak and Orit Gluck-Ofri. CyberPsychology & Behavior. June 2007, 10(3): 407-417. doi:10.1089/cpb.2006.9938. Cyberspace has become a common social environment in which people interact and operate in many ways. The purpose of the present study was to investigate the occurrence and reciprocity of self-disclosure, two subjects that are extensively studied in face-to-face interactions but only to a limited degree in virtual, computer-mediated, textual communication.

Data was based on 240 first messages in a thread, sampled in equal numbers from six Internet forums (three discussion and three support groups), and written in equal numbers by each gender, and 240 first responses to them (a total of 480 forum messages). Trained, expert judges blindly rated each message on the degree to which it disclosed personal information, thoughts, and feelings. This paper was cited by: Exploring users’ social responses to computer counseling interviewers’ behavior Franziska M. E. Shyness and Computer-Mediated Communication: A Self-Presentational Theory Perspective - Media Psychology - Volume 6. This study compared shy and nonshy Internet users in online and offline contexts on the Revised Cheek and Buss Shyness Scale (RCBSS; Cheek, 1983) and other measures intended to gauge 4 underlying aspects of shyness: rejection sensitivity, initiating relationships, self-disclosure, and providing emotional support and advice.

University students (N = 134; 76% female) participated in a Web-based survey that investigated the impact of computer-mediated communications (CMC) on shyness level. Results show that individuals classified as shy or nonshy on the basis of their scores on the RCBSS in the offline context were also significantly different on offline measures of rejection sensitivity, initiating relationships, and self-disclosure. However, they were not significantly different on these same 3 domains in the online context. Related articles View all related articles. Constructing my online self.

6.1.3.pdf (application/pdf Object) Learning in Groups: A Handbook for Face-To-Face and Online Environments - David Jaques, Gilly Salmon. Previewing Engaging online learners by integrating emotional intelligence into online course design. Table of Contents List of Tables viii List of Figures x Introdu ction to the Problem Background of the Study Statement of the Problem Purpose of the Study Research Questions Significance of the Study Definition of Terms Assumptions and Limitations Nature of the Study Theoretical Framework Organization of the Remainder of the Study Chapter Summary Instructional Design Theory Histor y of Adult Learning Theory Andragogy and Adult Learning Theory Applying Characteristics of Adult Learning Theory to Online Education Strengths and Weaknesses of Adult Learning Theory in Online Education Multiple Intelligences vi Learning Styles History of Emotional Intelligence Models of Emotional Int elligence Current Studies of Emotional Intelligence and Academics Emotional Intelligence As It Relates to Instructional De sign Technology Emotionally Intelligent Instructional Design Designing Self - Paced Online Courses Using Emotional Intellige nce Conclusion Research Design Sample Measurement Tools and Other S urvey Instruments Study Sample vii.