Exploring the link among entry characteristics, participation behaviors and course outcomes of online learners: An examination of learner profile using cluster analysis

2013-09-01
YÜKSELTÜRK, ERMAN
TOP, ERCAN
Show full item record
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
109
views
0
downloads
Online learner profiles have diversified such that now, they include all types of participants from a variety of backgrounds. This study analyzed online learner profiles in regard to their entry characteristics, participation behaviors and achievement of course outcomes. The sample consisted of 186 participants from an online course that required the employment of synchronous and asynchronous communication methods over the Internet. The data were collected through five online questionnaires and included 10 variables (gender, age, work status, self-efficacy, online readiness, self-regulation, participation in discussion list, participation in chat sessions, satisfaction and achievement). A two-step cluster analysis, chi-square analysis and multivariate analysis were used to analyze the collected data. The results indicated that online learners fell into three significantly different clusters and within each cluster, learners had a close combination of employment characteristics, gender type, age level, perception of self-efficacy for online technologies and participation behavior level.
Computer Self-Efficacy, İmpact, Attitudes, Predictors, Environment, Performance, İnternet, Gender-Differences
https://hdl.handle.net/11511/64457
BRITISH JOURNAL OF EDUCATIONAL TECHNOLOGY
Department of Computer Engineering, Article

Suggestions

Investigation of Interaction, Online Support, Course Structure and Flexibility as the Contributing Factors to Students' Satisfaction in an Online Certificate Program
YÜKSELTÜRK, ERMAN; Yıldırım, Zahide (2008-01-01)
The purpose of the study is to investigate some of the factors that contribute to satisfaction of participants in an online Information Technologies Certificate Program (ITCP). The program includes eight courses and lasts four semesters. The sample consisted of 30 participants who enrolled to the program and 8 instructors who gave the courses in this program in 2004-2005. The data was collected through both qualitative and quantitative methods. An online questionnaire was used to gather data on participants...
Using social media tools for theses and dissertations
Duman, Murat; Can, Gülfidan (null; 2017-09-10)
There is an increasing variety of social media tools that can be used by graduate students for their research. However, their use is still limited in academia. Moreover, the available literature largely focused on graduate students’ use of these tools for general purposes instead of academic purposes. Therefore, this study explored why and how graduate students use social media tools for their thesis and dissertation research and the reasons for not using them. Interviews were conducted with 17 participants...
Analyzing the effects of personality traits on the success of online study groups
Küçüközer, Şeyma; Taşkaya Temizel, Tuğba; Department of Information Systems (2013)
The purpose of the study is analyzing how efficient online study groups can be formed among university students based on their personality traits, and investigating whether a relationship exists among personality traits, social media use and success of online study groups. A survey which consisted of Ten Item Personality Inventory and the questions about social media use was conducted among the students. Then, the students were assigned to small online groups (consisted of 2 or 3 members) based on their per...
Analyzing and Predicting Privacy Settings in the Social Web
Naini, Kaweh Djafari; Altıngövde, İsmail Sengör; Kawase, Ricardo; Herder, Eelco; Niederee, Claudia (2015-07-03)
Social networks provide a platform for people to connect and share information and moments of their lives. With the increasing engagement of users in such platforms, the volume of personal information that is exposed online grows accordingly. Due to carelessness, unawareness or difficulties in defining adequate privacy settings, private or sensitive information may be exposed to a wider audience than intended or advisable, potentially with serious problems in the private and professional life of a user. Alt...
Examining the use of business analytics in organizations: an extension of the technology acceptance model
Bayram, Nazlı; Akın Ateş, Melek; Department of Business Administration (2018)
Business analytics offers a rich set of benefits that provide significant returns to the organizations. Business analytics systems eliminate the complexity of interpretation of raw data by transforming it into meaningful, accurate, understandable, and shareable information across the organization. Business analytics enables users to make crucial business decisions quickly and reliably by providing the analytical tools that they need to find and interpret information. The main aim of the study is to investig...
Citation Formats
E. YÜKSELTÜRK and E. TOP, “Exploring the link among entry characteristics, participation behaviors and course outcomes of online learners: An examination of learner profile using cluster analysis,” BRITISH JOURNAL OF EDUCATIONAL TECHNOLOGY, pp. 716–728, 2013, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/64457.
METU IIS - Integrated Information Service open@metu.edu.tr