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Firat, Mehmet – Open Praxis, 2022
Understanding the relationship between personality traits and e-learning autonomy can help to provide tailored e-learning environments and student support. Although the related literature is rich regarding learner autonomy and personality traits, there is a dearth of research exploring the predictive relationship. This research investigates the…
Descriptors: Personality Traits, Electronic Learning, Personal Autonomy, Distance Education
Firat, Mehmet; Öztürk, Aylin; Günes, Ihsan; Çolak, Esra; Beyaz, Melda; Büyük, Köksal – Open Praxis, 2019
The literature is considerably rich about engagement and academic achievement in the context of open and distance learning. However, there is limited research that investigates these variables with large scale participants. In this regard, the aim of this research was to investigate causal correlations between e-learning engagement time and…
Descriptors: Electronic Learning, Learner Engagement, Academic Achievement, Distance Education
Firat, Mehmet; Bozkurt, Aras – Educational Media International, 2020
Online learning practices have gained momentum as a result of the developments in network technologies and an increase in the capacity of current technological devices that are used to deliver learning. While up-to-date studies have examined the online learning readiness of traditional higher education learners, there remains a need to examine it…
Descriptors: Electronic Learning, Distance Education, Learning Readiness, College Students
Firat, Mehmet – Open Praxis, 2016
Previous studies have provided evidence that learner autonomy is an important factor in academic achievement. However, few studies have investigated the autonomy of distance education students in e-learning environments. The purpose of this study is to evaluate the e-learning autonomy of distance education students who are responsible for their…
Descriptors: Distance Education, Personal Autonomy, Electronic Learning, Gender Differences
Firat, Mehmet – Journal of Information Technology Education: Research, 2016
Two of the most important outcomes of learning analytics are predicting students' learning and providing effective feedback. Learning Management Systems (LMS), which are widely used to support online and face-to-face learning, provide extensive research opportunities with detailed records of background data regarding users' behaviors. The purpose…
Descriptors: Academic Achievement, Integrated Learning Systems, Electronic Learning, Management Systems