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815 results on '"Keskin A"'

1. Inclusive Education Practices for Syrian Students from Turkish Teachers' Perspectives

Author

Keskin, Tugba Çelik and Atay, Derin

Abstract

The integration of Syrian children into the Turkish national educational system has been an important issue in the field of Turkish educational policy since 2011 when the Syrian crisis caused millions of people to seek asylum in Turkey. After Temporary Education Centers (TECs) in refugee camps were phased out due to the changing inclusive education policies, Promoting Integration of Syrian Children into the Turkish Education System project (PIKTES) was introduced by the Ministry of National Education (MoNE) in 2016 in 26 cities across the country mainly to alleviate the linguistic challenges of Syrian refugees and facilitate their social integration into the society. The present qualitative type of study aims to describe and analyze the inclusive education practices for Syrian students at primary state schools. Data collected from five experienced Turkish teachers of integration classrooms via semi-structured interviews. The reflexive thematic analysis revealed three main themes as systemic shortcomings, Syrian families' indifference, and insufficient professional support for the teachers. The themes present the challenges of inclusive education in Turkey from the initial stages in TECs to the recent practices within the scope of the PIKTES project. Findings shed light on how to redesign inclusive education for refugees in the Turkish context. [This paper was published in:"EJERCongress 2022 Conference Proceedings," Ani Publishing, 2022, pp. 372-385.]

Published
2022

29. Online Learners' Readiness and Learning Interactions: A Sequential Analysis

Author

Sahin, Muhittin, Keskin, Sinan, and Yurdugül, Halil

Abstract

An important advantage of e-learning environments is the numerical observation of the learning behaviors of students. The use of e-learning environments by students creates a learner data. From these learner data, the navigation patterns obtained by using educational data mining have a very important place in learning and teaching design. Studies have shown that learners' learning behaviors in online learning environments may vary according to the characteristics of learners. Studies on the differentiation of the navigation patterns according to the psycho-educational characteristics of the learners provide very strong inputs to the design of the learning environment appropriate to the characteristics of the students which is named as adaptive learning environments. According to these inputs, learning environment designs can be developed according to the individual characteristics of the students. Online learners' readiness (OLR) for e-learning is an important psycho-educational structure. The aim of this study is to investigate students' navigations in the e-learning environment according to the level of readiness for e-learning. Lag sequential analysis was used when students' system interactions were analyzed sequentially. According to the results of the analysis, it has been found that the sequential navigation patterns of the students differ according to the OLR structure. The findings of this research are expected to provide important information and suggestions to online learning environment designers. [For the complete proceedings, see ED600498.]

Published
2018

48. Online Learners' Navigational Patterns Based on Data Mining in Terms of Learning Achievement

Author

Keskin, Sinan, Sahin, Muhittin, Ozgur, Adem, and Yurdugul, Halil

Abstract

The aim of this study is to determine navigational patterns of university students in a learning management system (LMS). It also investigates whether online learners' navigational behaviors differ in terms of their academic achievement (pass, fail). The data for the study comes from 65 third grade students enrolled in online Computer Network and Communication lesson in a state university. As the online learning environment, Moodle, an open source software, is used in this study. Navigational log records derived from database were converted into sequential database format. According to students' achievement (pass, failure) at the end of the academic term, these data were divided in two tables. Page connections of the users were transformed into interaction themes namely, homepage, content, discussion, messaging, profile, assessment, feedback and ask the instructor. Data transformed to sequential patterns by the researchers were organized in navigational pattern graphics by taking frequency and ratio into consideration. To test the difference between obtained patterns ratio test was conducted by means of z statistics. The findings of the research revealed that first and second order navigational patterns of passed and failed students in the online learning environment had similar features, but passed students allocated more time to interaction process. [For full proceedings, see ED571332.]

Published
2016

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