Yazar "Basal, Ahmet" seçeneğine göre listele

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    A new forum framework integrated into content
    (Sila Science, 2012) Erguzen, Atilla; Basal, Ahmet; Erel, Serafettin
    E-learning has made rapid strides in recent years. Variety of tools supporting blended and online education systems paves the way for the development of e-learning. One of the main tools used in e-learning to support learning is, undoubtedly, asynchronous task-based online discussion groups or discussion board. Existing e-learning platforms (open source or in the market) provide collaboration tools, however, they are not truly integrated with other modules, causing serial problems for the group members. Integration of discussion boards into the course content is of vital importance since they may directly affect learning. In this study, we suggest a new easy-to-use-framework in which discussion boards are embedded in course content, providing easy access to the students without distancing them from the learning material. The tutor can write feedback comments and rate on each learner's postings. Moreover, students can also grade his friends' postings, which may enhance their motivation and may also increase the number of the postings. This framework enriches course content with the power of forum tools and makes learners in the discussion process active with the support of feedback and grade reward.
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    Öğe
    PREDICTIVE ROLE OF PERSONALITY TRAITS ON INTERNET ADDICTION
    (Anadolu Univ, 2012) Celik, Serkan; Atak, Hasan; Basal, Ahmet
    Aiming to develop a model seeking to investigate the direct effects of personality types on internet addiction, this study was set and tested on tertiary level students receiving education within two learning modes: face to face and distance education. The participants of the study, selected through maximum variety method within purposive sampling, included 210 students enrolled on face-to-face and distance education programs of computer programming department. In addition to a personal data form aiming to obtain information on demographic features of the participants, a personality inventory and an Internet addiction scale were utilized to gather data. As an analysis model concurrently exerting both the mediation and direct effects, path analysis with observed variables was utilized in the current study to test the developed model. The findings revealed that while the most powerful predictor variable of internet addiction was conscientiousness, openness to experience was found as the weakest independent variable predictor. Additionally the developed model was observed as valid for both face to face and distance education students.