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Öğe A COMPARATIVE STUDY OF USES OF THE INTERNET AMONG COLLEGE STUDENTS WITH AND WITHOUT INTERNET ADDICTION(SAGE PUBLICATIONS INC, 2009) Kesici, Sahin; Sahin, IsmailThe current study examined uses of the Internet among college students classified as addicted to the Internet or not. Data were gathered from 384 college students. Students classified as Internet Addicted used the Internet more for social functions, leisure functions, and virtual emotional functions, when compared to students considered as Internet Nonaddicted. Effect sizes were large, indicating important group differences in uses of the Internet.Öğe Considering students' perceptions: The distance education student satisfaction model(IEEE COMPUTER SOC, LEARNING TECHNOLOGY TASK FORCE, 2008) Sahin, Ismail; Shelley, MackIn the current study, the Distance Education Student Satisfaction Model, estimated as a structural equation model, is proposed to understand better what predicts student satisfaction from online learning environments. In the present study, the following variables are employed based on the Technology Acceptance Model (TAM) (Davis, Bagozzi, & Warshaw, 1989) and literature: computer knowledge, flexibility of distance education, usefulness of distance education, and distance education satisfaction. Results suggest that as long as students have the skills to use online tools and perceive that distance education is a useful and flexible way of learning, communicating, and sharing, their enjoyment from online instruction will be promoted. Ultimately, this satisfaction may lead to higher levels of engagement, learning, and success in the distance education setting. Data collected from 195 undergraduate students are analyzed using Statistical Package for the Social Sciences and Analysis of Moment Structures statistical software. Implications of the findings of the present study are crucial for instructors, practitioners, and institutions planning to offer or currently engaged in offering distance education courses.Öğe DEVELOPMENT OF SURVEY OF TECHNOLOGICAL PEDAGOGICAL AND CONTENT KNOWLEDGE (TPACK)(TURKISH ONLINE JOURNAL EDUCATIONAL TECH-TOJET, 2011) Sahin, IsmailThe purpose of this study is to develop a survey of technological pedagogical and content knowledge (TPACK). The survey consists of seven subscales forming the TPACK model: 1) technology knowledge (TK), 2) pedagogy knowledge (PK), 3) content knowledge (CK), 4) technological pedagogical knowledge (TPK), 5) technological content knowledge (TCK), 6) pedagogical content knowledge (PCK), and 7) TPACK. This study is conducted in five phases: 1) item pool, 2) validity and reliability, 3) discriminant validity, 4) test-retest reliability, and 5) translation of the TPACK survey. To examine language equivalence, both Turkish and English versions of the TPACK survey are administered to preservice teachers studying English language education. It is determined the questionnaire meets the language equivalence. Results demonstrate the TPACK survey is a valid and reliable measure.Öğe EXPERIENCES OF TURKISH STUDENT TEACHERS IN PEDAGOGY AND EDUCATIONAL TECHNOLOGY DURING AN INTERNSHIP PROGRAM IN THE US(TURKISH ONLINE JOURNAL EDUCATIONAL TECH-TOJET, 2009) Sahin, Ismail; Toy, SerkanThis quantitative research study was conducted to examine technological and pedagogical experiences of Turkish student teachers in a US Department of State sponsored international internship program. The internship program had a specific emphasis on student-centered teaching and technology integration. Turkish interns completed a 6-week teaching internship at rural Midwest high schools. The main objective of the internship program was to promote professional, cultural, and personal development of the Turkish pre-service teachers. The findings of the current study suggested that the Turkish student teachers had the opportunity to observe the professional and educational applications of computer technologies during their internship program. Especially, those who reported to have student-centered teaching methodology, expertise in computer use, and a high level of technology integration in their teaching expressed more positive attitudes toward using computer applications for instructional purposes. Also, these student teachers reported to have observed instructional computer use by the mentor teacher, effective student learning, and a variety of teaching strategies more frequently.Öğe FROM THE SOCIAL-COGNITIVE CAREER THEORY PERSPECTIVE: A COLLEGE OF EDUCATION FACULTY MODEL FOR EXPLAINING THEIR INTENTION TO USE EDUCATIONAL TECHNOLOGY(SAGE PUBLICATIONS INC, 2008) Sahin, IsmailA model, based on Social-Cognitive Career Theory (SCCT) (Lent, Brown, & Hackett, 1994, 2002), was developed to test the influence of the College of Education (COE) faculty members' self-efficacy in, outcome expectations from, and interest in educational technology on their intentions to use the technology. While outcome expectations affect faculty members' intentions to use educational technology both directly and indirectly, the influence of self-efficacy beliefs on their willingness to use the technology is exerted through outcome expectations and interest. Overall, the findings from this study displayed a significant contribution of self-efficacy in, outcome expectations from, and interest in educational technologies in the formation of faculty members' intentions to use these technologies. Efforts to develop COE faculty into the leaders of educational technology might benefit from the findings of this study. When levels of faculty confidence in and awareness of educational technology increase, faculty interest in the technology will grow and eventually result in a higher level of faculty willingness to use educational technology.Öğe Loneliness, self-esteem, and life satisfaction as predictors of Internet addiction: A cross-sectional study among Turkish university students(WILEY, 2013) Bozoglan, Bahadir; Demirer, Veysel; Sahin, IsmailThis study investigated the relationship among loneliness, self-esteem, life satisfaction, and Internet addiction. Participants were 384 university students (114 males, 270 females) from 18 to 24years old from the faculty of education in Turkey. The Internet Addiction, UCLA Loneliness, Self-esteem, and Life Satisfaction scales were distributed to about 1000 university students, and 38.4% completed the survey (see Appendix A and B). It was found that loneliness, self-esteem, and life satisfaction explained 38% of the total variance in Internet addiction. Loneliness was the most important variable associated with Internet addiction and its subscales. Loneliness and self-esteem together explained time-management problems and interpersonal and health problems while loneliness, self-esteem, and life satisfaction together explained only the interpersonal and health problems subscales.Öğe Turkish Adaptation Study of Internet Addiction Scale(MARY ANN LIEBERT, INC, 2010) Kesici, Sahin; Sahin, IsmailThe purpose of this study was to adapt the Internet Addiction Scale (IAS) for Turkish-language use and test the validity and reliability of the scale. This study was conducted in four phases: (a) translation, (b) validity and reliability, (c) discriminant validity, and (d) test-retest reliability of the IAS. To examine language equivalence, both Turkish and original versions of the IAS were administered to students studying English-language education. Since the questionnaire has high levels of language equivalence, validity and reliability studies were conducted. To determine construct validity, exploratory and confirmatory factor analyses were employed. To ascertain reliability, internal consistency and test-retest analysis were conducted. Results demonstrate that the Turkish version of the IAS is a valid and reliable measure.Öğe The use of artificial neural network for prediction of grain size of 17-4 pH stainless steel powders(ACADEMIC JOURNALS, 2010) Findik, Tayfun; Tasdemir, Sakir; Sahin, IsmailThis study is aimed to deals with artificial neural network (ANN) approach for prediction grain size (GS) of 17 - 4 pH stainless steel powders. Experimental data which were obtained from experimental studies in a laboratory environment have been used for this modeling. Using some of the experimental data for training and testing an ANN for GS was developed. In these systems, output parameters GS has been determined using input parameters including environment, time, speed, ball diameter, ball ratio, and material. When experimental data and results obtained from ANN were compared by regression analysis in Matlab, it was determined that both groups of data are consistent. The correlation coefficient between estimated GS values and experimental data obtained are 0.99 for traing and 0.98 for testing respectively. The correlation coefficient is closely to 1. This coefficient shows that there is a strong relationship between these data. Also, the accuracy rate was 98.97% for GS. As a result, it has been shown that designed ANN can be used reliably in powder metallurgic industry and engineering.