TR Dizin İndeksli Yayınlar Koleksiyonu / TR Dizin Indexed Publications Collection
Permanent URI for this collectionhttps://hdl.handle.net/20.500.14365/4
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Article In the Context of the Digital Public Sphere the Great Hack: : a Big Data-Focused Analysis(Marmara univ, fac communication, 2024-06-30) Tos, Onur; Ercifci, AytunçBig data components are shaping the digital public sphere. The areas of use for big data components in the digital public sphere are expanding, and in this context, new digital possibilities affecting social life are increasing. This study focuses on the documentary film The Great Hack, , directed by J. Noujaim and K. Amer, which was released on the Netflix platform in 2019. The aim of the study is to identify the elements of the concept of digital public space and big data components in The Great Hack documentary film that shape the film and the narrative. It also aims to identify the embedded meanings underlying these elements. The main research question is: What are the open, axial, and selective coding transfers in the documentary film using the grounded theory approach? The data collection technique for the research is document analysis. The method of analysis is the grounded theory design, which can be used in qualitative research processes. Open, axial, and selective coding of the interaction of digital public space and big data is performed using the grounded theory pattern, adhering to the documentary film's style and narrative. In addition, themes, categories, and codes between the concepts are identified, and the connections and interactions between them are explained. As a result of the analyses, it was determined that digital media and digital traces were emphasized in the documentary film's style and narrative. Additionally, in the interaction of digital public space and big data components in the documentary film, it was found that digitalization, people's personal profiles, privacy, and data collection and processing processes are highlighted.Review Exploring the Factors Affecting Shared Biking Perception: Insights From Türkiye(Ege univ, fac economics & admin sciences, 2024-04-08) Oflaç, Bengü; Özcan, Seda; Sevil Oflac, BenguUnderstanding consumer perception regarding shared biking services requires the analysis of psychological factors underlying the late diffusion of shared biking services. In this regard, by scrutinizing these underlying factors, we aim to uncover insights that can inform the development of targeted business strategies that better align with users' preferences and needs, thereby overcoming barriers to adoption and facilitating the wider dissemination of shared biking systems. Findings show that as consumers perceive shared biking services as useful and hedonic, their attitudes become more favorable. Importantly, highlighting the mediating role of compatibility, this study emphasizes the congruence among shared biking services, consumers' lifestyles, and their traveling habits. Findings also suggest that perceived complexity has a negative impact on shared biking attitudes. Interestingly, no significant relationship was found between perceived risk and shared biking attitude. The findings provide further support for innovation diffusion and theory of reasoned action. The suggested theoretical framework integrates variables related to both barriers and drivers, thus guiding future studies on the sharing economy. The study also provides insights that contribute to the development of service design and marketing strategies that respond better to users' needs, and also, facilitate the spread of these mobility systems.Review Citation - WoS: 16Citation - Scopus: 40Current Evaluation and Recommendations for the Use of Artificial Intelligence Tools in Education(Walter De Gruyter Gmbh, 2023-12-01) Sagin, Ferhan Girgin; Özkaya, Ali Burak; Tengiz, Funda; Geyik, Öykü Gönül; Geyik, CanerThis paper discusses the integration of artificial intelligence (AI) tools in education, delineating their potential to transform pedagogical practices alongside the challenges they present. Generative AI models like ChatGPT, had a disruptive impact on teaching and learning, due to their ability to create text, images, and sound, revolutionizing educational content creation and modification. However, nowadays the educational community is polarized, with some embracing AI for its accessibility and efficiency thus advocating it as an indispensable tool, while others cautioning against risks to academic integrity and intellectual development. This document is designed to raise awareness about AI tools and provide some examples of how they can be used to improve education and learning. From an educator's perspective, AI is an asset for curriculum development, course material preparation, instructional design and student assessment, while reducing bias and workload. For students, AI tools offer personalized learning experiences, timely feedback, and support in various academic activities. The Turkish Biochemical Society (TBS) Academy recommends educators to embrace and utilize AI tools to enhance educational processes, and engage in peer learning for better adaptation while maintaining a critical perspective on their utility and limitations. The transfer of AI knowledge and methods to the teaching experiences should complement and not replace the educator's creativity and critical thinking. The paper advocates for an informed embrace of AI, AI fluency among educators and students, ethical application of AI in academic settings, and continuous engagement with the evolving AI technologies, ensuring that AI tools are used to augment critical thinking and contribute positively to education and society.