Browsing by Author "Cukurbasi B."
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Item Use of Digital Mind Maps in Technology Education: A Pilot Study with Pre-Service Science Teachers(Vilnius University Institute of Data Science and Digital Technologies, 2021) Debbag M.; Cukurbasi B.; Fidan M.This case study aims at ensuring preservice science teachers to acquire experience by creating paper-based mind maps (PB-MM) and digital mind maps (D-MM) in technology education and to reveal their opinions on these mind mapping techniques. A total of 32 preservice science teachers, enrolled in the undergraduate program of Science Teaching at a university in Turkey, participated in this study. During the first three weeks of the six-week study, participants created PB-MM for certain subjects in science education. For the rest of the weeks, they created D-MM by using Coggle. As data collection tool, a form, consisting of open-ended questions, was used in this study. The obtained results demonstrated that the participants generally reported positive opinions including that mind maps are beneficial and useful tools in reinforcing, assessing and visualizing learning in general, making lessons more entertaining as well as offering ease of use. It was also concluded that students can also use mind maps in teaching of other topics such as “Vitamins”, “The Earth and the Universe” and “Systems” in particular, as well as in events like meetings, presentations, brainstorming. Advantages of D-MM were listed as the possibility of adding multimedia material, ease of correction processes and the visual richness, while its disadvantage was listed as experiencing technical problems. PB-MM contribute to psychomotor development of students as well as learning by performing/experiencing. The difficulty in processes such as deleting, editing, etc. and in adding videos and images constitute the restrictions of PB-MM technique. © 2021 Vilnius University, ETH ZürichItem Metaphoric perceptions of pre-service teachers about ‘LEGO Robotic Instructional Practices,’ ‘Augmented Reality’ and ‘Flipped Classroom’ concepts(SAGE Publications Inc., 2021) Fidan M.; Debbag M.; Cukurbasi B.The aim of this study is to reveal perceptions of pre-service teachers about ‘LEGO robotic instructional practices,’ ‘augmented reality’ and ‘flipped classroom’ concepts through metaphors. The study is descriptive research that was conducted as a survey model. The study group consists of 37 pre-service teachers studying the undergraduate programme of Science Teaching, Faculty of Education of a university in the Western Black Sea Region in the spring semester of the academic year 2016–2017. A form consisting of three open-ended questions was used as a data collection tool during the study. The data acquired were analyzed through content analysis method. Following the study, 15 different metaphors created in relation to the LEGO robotic instructional practices concept were categorized as ‘edutainment tool,’ ‘a technological tool’ and a ‘development tool,’ while 24 different metaphors created in relation to the augmented reality concept were categorized as ‘Perception Of Reality’, ‘A Technological Tool’, ‘Change/Transformation Tool’ and ‘Entertainment Tool’. Moreover, 25 different metaphors created in relation to the flipped classroom concept were classified in two categories as a ‘form of education’ and ‘an education shaping tool’. Moreover, almost all of the metaphors created were observed to have positive features. © The Author(s) 2021.Item Instructional design and instructional effectiveness in virtual classrooms: Research trends and challenges(Australasian Society for Computers in Learning in Tertiary Education (ASCILITE), 2021) Cukurbasi B.; Kiyici M.This literature review aimed to examine the status, trends and tendencies in publications about virtual classrooms, instructional design in the virtual classroom and instructional effectiveness in the virtual classroom, as indexed in the ERIC database. For this review, we examined 2680 publications indexed in ERIC between 1994 and 2018. We collected data with data mining and utilised several Python libraries as resources for developing the analysis plan. The results of the analysis are presented in visual form. For each of the three subject matter areas examined in this study, we present the themes in the publications by years, titles, abstracts and ERIC descriptors. We report in detail the trends and challenges that emerged from the analysis. The results show that the words “learning”, “online”, and “environment” were prominent in each of the three subject matter areas. The primary topics addressed were literacy and curriculum development, and researchers examined the roles of instructors, learners and managers.Implications for practice or policy:• This review will be a useful resource for scientists, researchers and policymakers who conduct studies on the virtual classroom.• Instruction should be planned according to differences in instructor, learner and manager roles, as revealed by the studies.• Practitioners who want to teach in virtual classrooms can also use it as a guide © Articles published in the Australasian Journal of Educational Technology (AJET) are available under Creative Commons Attribution Non-Commercial No Derivatives Licence (CC BY-NC-ND 4.0). Authors retain copyright in their work and grant AJET right of first publication under CC BY-NC-ND 4.0.Item MetaPortal: Business Intelligence and Machine Learning Approach for VR Data(Institute of Electrical and Electronics Engineers Inc., 2023) Kilinc M.; Geris A.; Teke O.; Cukurbasi B.Virtual reality (VR) is a technology that offers near real-world experiences in various fields. With the widespread use of virtual environments designed to provide VR experiences, the amount of data collected from these environments has increased rapidly. However, as the volume of data grows, there is a need to develop analysis processes and advance the data-driven development model. In this study, an application called MetaPortal was developed, utilizing personal characteristics, activity, location, and interaction data of users in the immersive learning environment of Manisa Celal Bayar University (MetaCBU). By employing business intelligence techniques and machine learning algorithms, the application can analyze the vast amount of VR data and classify users in MetaCBU based on their characteristics, activities, and interactions. This paper proposes a combination of business intelligence and machine learning approaches for VR data analysis and provides detailed information about the MetaPortal application developed in this context. © 2023 IEEE.Item Balancing performance and comfort in virtual reality: A study of FPS, latency, and batch values(John Wiley and Sons Ltd, 2024) Geris A.; Cukurbasi B.; Kilinc M.; Teke O.This manuscript investigates the relationships among various performance metrics in a virtual reality (VR), namely frames per second (FPS), latency, batches, and the number of triangles (tris) and vertices (verts). The study aims to uncover correlations and directional associations between these metrics, shedding light on their impact on VR performance. The findings reveal a significant correlation between FPS and latency, albeit in opposite directions. Higher FPS values are associated with reduced latency, indicating that a smoother visual experience is accompanied by shorter delays in the VR. Conversely, lower FPS values are linked to increased latency, suggesting a potential degradation in overall system responsiveness. Additionally, a strong correlation is observed between latency and batches processed. This finding implies that latency has a direct impact on the system's ability to efficiently process and render objects within VR. Furthermore, a positive correlation is identified between the number of batches and the values of tris and verts. This relationship suggests that higher batch counts are associated with larger quantities of triangles and vertices, reflecting a more complex scene rendering process. Consequently, the performance of VR may be influenced by the density and intricacy of the virtual environments, as indicated by these metrics. © 2024 The Author(s). Software: Practice and Experience published by John Wiley & Sons Ltd.Item AI-supported VR in education: Learning analytics, interactions, and ethical bias(IGI Global, 2024) Geris A.; Cukurbasi B.This book chapter examines the integration of virtual reality and artificial intelligence technologies in the field of education. While the integration of AI-based content, analysis, and feedback systems into educational VR environments presents a significant opportunity, it also brings various challenges, including privacy, data security, social equity, and ethical issues. The chapter addresses the effects of AI-supported VR applications on teacher-student interactions and pedagogical outcomes across different educational levels. Additionally, it evaluates predictions and potential scenarios for the future use of these technologies in education. Finally, the chapter provides strategic recommendations to address the challenges encountered in the integration of AI and VR in education, offering guidance on the ethical and effective use of these technologies. By providing a comprehensive guide for educators, policymakers, and developers, this chapter offers valuable insights into managing digital transformation processes and utilizing these technologies to enhance learning experiences. © 2025, IGI Global Scientific Publishing. All rights reserved.