TERSYÜZ SINIF MODELİ ÖĞRENCİLERİN MOTİVASYON, PERFORMANS VE TUTUMLARINI NASIL ETKİLER?

Harmanlanmış öğrenmenin bir türü olan tersyüz sınıf modeli, yükseköğretimde esnek ve etkili öğrenme ortamları oluşturmayı teşvik etmektedir. Literatürde harmanlanmış öğrenme üzerine yapılan deneysel araştırmaların çoğu bir uygulamayı bağımsız bir değişken olarak tanımlar ve anlamlı bir farkı keşfetmek için çoğunlukla bir kontrol grubuyla karşılaştırır. Ancak bu araştırmada sadece bir kontrol grubu kullanmak yerine çoklu ortam destekli tersyüz sınıf modeli ve teknoloji destekli yüz yüze (f2f) sınıf modelinden oluşan iki grup kullanılmıştır. Bu çalışma, iki modelin üniversite öğrencilerinin öğretim materyali motivasyonu, performansı ve konuya yönelik tutumu üzerindeki etkilerini araştırmaktadır. Çalışmada, nicel ve nitel araştırma yöntemlerini takip eden açıklayıcı sıralı karma yöntem tasarımı kullanılmıştır. Çalışmaya toplam 26 üniversite öğrencisi, dört hafta boyunca katılmıştır. Bulgular, çoklu ortam destekli tersyüz sınıf modeli grubunun öğretim materyali motivasyon puanının diğer gruptan önemli ölçüde yüksek olduğunu göstermiştir. Ayrıca, betimsel sonuçlar çoklu ortam destekli tersyüz sınıf grubunun performans ve tutum puanında artış olduğunu gösterirken, yapılan istatistiksel analizlerde bu artışın anlamlı olmadığı belirlenmiştir. Genel olarak sonuçlar, çoklu ortam destekli tersyüz sınıf modelinin öğrencilerin öğretim materyali motivasyonunu önemli ölçüde artırdığını göstermiştir. Bu modeldeki çeşitli öğretim stratejileri ve etkileşimli animasyonlar öğrencilerin daha etkili öğrenmelerine yardımcı olabilir. Bu çalışma, araştırmacılara tersyüz sınıf modeli için öğretim etkinlikleri ve etkileşimli kaynaklar tasarlama konusunda yardımcı olacak bilgiler sunmaktadır.The flipped classroom model, a type of blended learning, has become a promising model for building flexible and effective learning environments in higher education. Much of the experimental research on blended learning characterizes a treatment as an independent variable and compares it with a control group to identify a significant difference. However, this research utilized two treatment groups-a multimedia-enhanced flipped classroom model and a technology supported face-to-face (f2f) classroom model; instead of using only a control group. The study investigates the effects of these models on university students’ instructional material motivation, performance, and attitude towards the subject. We employed an explanatory sequential mixed method design, following quantitative and qualitative research methods. 26 university students participated in two groups over four weeks. The results indicated that the instructional material motivation for the multimedia-enhanced flipped classroom model group was significantly higher than in the other group. Additionally, descriptive results showed an increase in learning performance and attitude scores for the multimedia-enhanced flipped classroom group, although these did not reveal a significant difference in favor of this model. Overall, the results indicated that the multimedia-enhanced flipped classroom model significantly improved students’ motivation for instructional materials. Various teaching strategies and interactive animations in this model may enhance student learning effectiveness. This study provides insights to aid researchers in designing teaching activities and interactive resources for the flipped classroom model.</p

Formative Evaluation of Environmentally Sustainable Hybrid Classroom Model: Stakeholder Perspectives

The physical design of learning spaces plays an integral role in student comfort and learning effectiveness. Involving users in the co-design of learning environments facilitates reflection on their pedagogical approaches, thereby increasing the relevance and effectiveness of the spaces developed. This participatory methodology not only empowers users but also ensures that the spaces are specifically tailored to the authentic needs and preferences of both students and educators, potentially leading to enhanced educational outcomes, enhanced learner satisfaction, and increased engagement. Many studies underscore the necessity of incorporating students' and instructors' opinions when designing and implementing classroom models to optimize educational outcomes. This study aims to identify and evaluate the opinions of students and faculty members (stakeholders) regarding the blueprint Sustainable Hybrid Classroom Model developed within the&nbsp;project’s scope titled "Sustainable Meta-Classroom Model in Effective Educational Processes." The classroom model in the study has been designed as a hybrid and flexible learning space that integratesenvironmental sustainability and emerging technologies. “Opinion survey for evaluating the sustainable meta class model” was used&nbsp;as the data collection tool. Participants were reached through online Zoom meetings. The data were analyzed using MAXQDA qualitative data analysis software and reported using the content analysis method. The study involved 50 students and 66 faculty members from over 20 faculties and departments at a state university in Turkiye. 61.2% (n=71) of the participants were female, and 38.8% (n=45) of them were male. The results revealed that participants viewed sustainable learning environments not only as ecological environments but also as spaces that should be comfortable, digitally equipped, and innovative. Most participants stated that the proposed blueprint classroom model would positively affect learning outcomes. Moreover, they expressed positive views regarding its applicability, potential as a model for future studies, and innovative features. However, concerns were raised about classroom size, cost, and the model's suitability across different disciplines. Participants emphasized their educational units' qualitative and quantitative needs, including class size, space, technical infrastructure, and budget.In conclusion, this study highlights the importance of incorporating stakeholders' perspectives in the design process of a classroom model. The proposed classroom model was designed as a flexible solution to accommodate the diverse needs of various educational units. The study suggests that designing learning spaces with an emphasis on comfort issues, seamless digital technology integration, and innovation, in addition to sustainability considerations, can enhance learning outcomes and provide a relevant framework for future educational settings. Finally, it can be proposed that future research may focus on refining the various classroom model designs to address participants' concerns, particularly in class size, cost efficiency, and cross-disciplinary applicability. Additionally, further studies could investigate the long-term impact of such models on student engagement, satisfaction, and learning effectiveness, as well as their scalability in different educational environments.</div

Yükseköğretimde Eğitmenlerin Tpack Düzeylerinin İncelenmesi

Covid-19 pandemisi, uzaktan eğitim teknolojilerinin gerekliliğini ve eğitmenlerin eğitim-öğretim ortamlarında teknolojik araçları yeterli düzeyde kullanmanın önemini göstermiştir. Teknolojiyi eğitim süreçlerine etkili bir şekilde entegre eden üniversiteler, bu zorlu süreci daha kolay atlatabilmiştir. Alanyazında iyi bilinen ve geçerli bir çerçeve olan TPACK (Teknolojik Pedagojik İçerik Bilgisi), teknolojik, pedagojik ve içerik bilgisi boyutlarından oluşmaktadır. TPACK çerçevesi çoğunlukla K-12 ve yükseköğretim düzeyinde öğretme ve öğrenme ortamlarında etkili teknoloji entegrasyonu oluşturmak için kullanılmaktadır. Yükseköğretimde mesleki kariyerinin en üst seviyesine erişen, Profesör unvanına sahip öğretim üyelerinin TPACK kapsamında gelişmeye açık olup olmadıklarını incelemek üzere bu çalışma planlanmıştır. Araştırma anket çalışması olarak tasarlanmış ve veriler TPACK-deep ölçeği ile toplanmıştır. Ölçek, 33 maddeden oluşmaktadır ve ölçekten alınabilecek en düşük puan 33 iken, en yüksek puan 165’tir. Araştırmaya, 64 öğretim üyesi katılmıştır. Katılımcıların %60.9’u (n=39) Kadın, %39.1’i (n=25) Erkek katılımcılardan oluşmuştur. Katılımcıların TPACK ölçeği puan ortalamaları 127.91 bulunurken, TPACK’in alt boyutlarında (tasarım, uygulama, etik, uzmanlaşma) puan ortalamalarının değiştiği belirlenmiştir. Araştırmadan elde edilen ölçek puan ortalaması, katılımcıların TPACK düzeylerinin orta düzeyde olduğunu göstermektedir. Bulgular, yükseköğretim kurumlarında akademik kariyerlerinin en üst noktasında bulunan öğretim üyelerinin, öğretim süreçlerinde etkili teknoloji entegrasyonu oluşturma noktasında gelişmeye açık yönlerin bulunduğunu göstermektedir.&nbsp;Çalışmadan elde edilen sonuçlar, eğitimcilere ve araştırmacılara, özellikle yükseköğretim kurumlarında öğretim üyelerinin kariyer düzeylerinde TPAB çerçevesinin araştırılması ve uygulanması konusunda fikir verebilir.The Covid-19 pandemic has reminded the necessity of distance education technology and adequate usage level of faculty members in educational environments. Universities which have integrated technology into their teaching processes in a meaningful way have overcome this compelling process. TPACK (Technological Pedagogical Content Knowledge), a well-known and valid framework, comprises technological, pedagogical, and content knowledge. It is mostly used to build effective technology integration in teaching and learning environments in K-12 and higher education contexts. In this study, we aimed to examine whether faculty members who have professor titles that have reached the highest level of their professional career in higher education are open to development within the scope of TPACK. The study was designed as survey research, and the data was collected with the TPACK-deep scale. The scale has 33 items, and the lowest score obtained is 33, while the greatest score is 165. 64 faculty members participated in the study and 60.9% (n=39) were female and 39.1% (n=25) were male. While the TPACK mean score of the participants was 127.91, it was determined that the mean scores of the sub-dimensions of the scale (design, exertion, ethics, proficiency) changed. The mean score on the scale shows that participants are at moderate levels in terms of TPACK. The findings indicate that faculty members at the peak of their academic careers need enhancements to execute technology integration in their teaching processes successfully. The results can provide educators and researchers with an opinion on the research and application of the TPACK framework, particularly in higher education institutions and at the career stages of faculty members.</p

DigCompEdu Framework in Higher Education: Digital Competency Level of Faculty Members

In the future, it is expected that universities will be designed to include face-to-face and virtual campuses. Virtual campuses enable disadvantaged students to receive an equivalent education to their peers without falling behind, and thus they help to put into practice inclusive education. In this context, determining the digital competencies of instructors who are expected to continue online education is an essential research topic in higher education. In this study, we aimed to provide suggestions that can strengthen the virtual campus dimension of universities by determining the digital competence levels of instructors. The study was designed as survey research. As a data collection tool, Digital Competence Scale for Educators was used, and the data were analyzed descriptively. The data collection tool consisted of 2 parts: demographic information and digital competence scale. 234 faculty members who are 96 men (41%) and 138 women (59%), participated in the study voluntarily. 71.8% of the participants stated that they had lectured at the university level for 10 years or more, and 59.8% indicated that they lectured both online and face-to-face. The findings showed that approximately 80% of those described their digital literacy as adequate or quite adequate. Also, the average score on the Digital Competence Scale was found to be 46.26 out of 88. This study will present the DigCompEdu digital proficiency levels (Explorer, Integrator, Expert, Leader, Pioneer) of faculty members in Turkey. As a result, this study will contribute to the design, development, and integration of plans and policies on improving digital competence levels of faculty members who are expected to be the educators of virtual classrooms.</p

Pandemi Sonrası Eğitim: Hibrit ve Harmanlanmış Öğrenme Modelleri

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