Scopus İndeksli Yayınlar Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.12416/8651
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Article A Metaverse-Based Fully Immersive Training for Temporomandibular Joint: A Pilot Study(Wiley, 2026) Ozcelik, Erol; Ekici, Saliha Zerdali; Basmaci, Fulya; Cagiltay, Nergiz Ercil; Kilicarslan, Mehmet AliObjective Understanding the temporomandibular joint (TMJ) can be challenging with conventional methods, as its complex anatomy, comprising the articular disc, mandibular condyle, and temporal bone, requires detailed visualisation. Traditional approaches like textbooks and static images often fall short, whereas modern tools such as 3D modelling and virtual reality (VR) offer more effective alternatives. Metaverse technology further enhances this by creating interactive, immersive and collaborative learning environments that simulate real-world experiences. While VR is increasingly used in dental education, research on fully immersive metaverse-based learning remains limited.Methods In this pilot study, a custom metaverse environment was developed to teach TMJ concepts. Then, the effectiveness of conventional and metaverse-based teaching methods in improving dental students' understanding of the TMJ was evaluated experimentally. A randomised trial was conducted with 120 first-year dental students, divided into three groups: classical lecturing, metaverse-based training and a combination of both.Results Findings indicate that students in the metaverse and combined groups outperformed those in the classical lecturing group, with no significant difference between the two metaverse-involved groups.Conclusions This suggests that for highly complex anatomical structures like the TMJ, metaverse-based training alone may be sufficient, eliminating the need for additional traditional instruction. The study highlights the metaverse's potential to enhance dental education by providing a fully 3D, interactive learning experience.Article A User Task Design Notation for Improved Software Design(PeerJ Inc., 2021) Ozcan, Eda; Cagiltay, Nergiz Ercil; Topalli, Damla; Tokdemir, GulArticle Citation - Scopus: 1Randomised Comparison Between Navigation and Non-Navigation Camera Control Performance in a Surgical Simulation Task Using a Haptic Device Interface(Wolters Kluwer Medknow Publications, 2026) Cagiltay, Nergiz Ercil; Topalli, Damla; Tuner, Emre; Berker, MustafaIntroduction:Navigation skills for controlling the camera in the surgical field are critical for many minimally invasive surgery (MIS) procedures. Currently, endoscopes lack integrated navigation aids, making camera control a challenging task. This experimental study aims to investigate the effect of navigation guidance on the performance of beginners.Patients and Methods:A custom computer-based simulation environment was developed for this study, featuring two conditions - one with navigation guidance and one without - focussed on a camera-cleaning task. Participants (64 beginners) were randomly assigned to one of these groups and used two haptic devices to simulate the endoscope and surgical tools.Results:Participants in the guided condition performed significantly better than those in the unguided condition. Notably, female participants completed the task in significantly less time under the guided condition compared to the unguided one.Conclusion:These findings suggest that incorporating navigation aids into endoscope interfaces could improve user performance, especially for beginners. Medical device manufacturers should consider adding navigation features to enhance usability. In addition, simulation-based instructional systems should integrate navigation aids to better support surgical training.Book Part Artificial Intelligence in Dentistry(CRC Press, 2025) Cagiltay, Nergiz Ercil; Kılıçarslan, Mehmet Ali; Basmaci, FulyaToday, with advanced technologies, collecting detailed and big data from the environment and analyzing it using intelligent techniques has become possible, providing important insights into phenomena as well as future predictions. Big data is characterized by its high volume, velocity, and variety. Here, the volume is the amount and size of the data, which is measured in terabytes, petabytes, exabytes, or zettabytes. Velocity is the offered form of big data, which can be batch, near-real-time, real-time, or streaming. Finally, variety is the structure of the big data, which can be structured, such as in relational or dimensional models, as in warehouses, or unstructured, which is stored without any organization. It can also be in semi-structured form, where the data is unstructured but there is some meta-data or some tags for describing the data. Today, these forms of data are being collected for different dental purposes in several formats, such as images, raw data, or coordinates. © 2025 Elsevier B.V., All rights reserved.Article Contextual, Formal and Correlational Examination of Article Titles Published in International Indexed Journals in the Field of Educational Sciences(Turkish Education Assoc, 2025) Goktas, Yuksel; İskender, Mülkiye Ezgi; Gürbüz, Nihal Elif; Cagiltay, Nergiz Ercil; Topaloglu, Mulkiye Ezgi IskenderBir makalenin yayımlanması ve atıf alması açısından doğru başlık yazımı önemli bir değişkendir. Bu bağlamda bu araştırmada eğitim bilimleri alanında yayımlanan uluslararası indeksli makalelerin başlıkları içerik ve biçim açısından incelenmiştir. Doküman analizi, Web of Science veri tabanında yer alan 800 makale ve başlığın araştırmacılar tarafından literatüre dayalı olarak belirlenen kriterlere göre incelenmesiyle gerçekleştirilmiştir. İçerik-başlık uyumu konusunda elde edilen verilere SPSS 27.0 programından faydalanılarak istatistiksel analizler yapılmıştır. Bulgular, makalelerin cümle yapılarının yayımlandıkları dergilerin menşei ülkelerine göre farklılaştığını göstermiştir. Ayrıca, etki faktörü yüksek olan dergilerin başlıklarının metodolojik eğilimlerini daha net verdiği tespit edilmiştir. Etki faktörünün, potansiyel başlık standartlarına ulaşma ve kelime sayısı ile doğrusal ve orta düzeyde ilişkili olduğu bulunmuştur. Dergilerin Q değerlerine göre yapılan analizde, potansiyel içerik standartlarının Q1 dergilerin lehine anlamlı bir şekilde farklılaştığı görülmüştür. Dergiler için yapılan fark analizine göre başlık potansiyel standartları açısından dört dergi arasında istatistiksel olarak anlamlı farklılık bulunmuştur. Ortalamalara göre Review of Educational Research (Q1), Eğitim ve Bilim (Q4), Educational Researcher (Q1) ve Pedagogy (Q4) şeklinde bir sıralama ortaya çıkmıştır. Elde edilen sonuçlar kapsamında araştırmacılara bilimsel çalışmalar için başlık oluşturmada yol gösterecek bazı önerilerde bulunulmuştur.Article Citation - WoS: 3Citation - Scopus: 2Evaluation of the Effects of Avatar on Learning Temporomandibular Joint in a Metaverse-Based Training(John Wiley and Sons Inc, 2024) Basmaci, Fulya; Bulut, Ali Can; Ozcelik, Erol; Ekici, Saliha Zerdali; Kilicarslan, Mehmet Ali; Cagiltay, Nergiz Ercil; Zerdali Ekici, SalihaPurposeAvatars, representing users in the digital world, can influence users' behavior and attitudes. This study evaluates the impact of representing dental students receiving temporomandibular joint (TMJ) education in the metaverse via an anonymous or identified avatar.MethodsParticipants included 80 dental students in their fourth and fifth years of study. They were randomly assigned to either the avatar group (identified avatar) or the control group (anonymous avatar). Prior to training, participants completed a demographic questionnaire and a pretraining knowledge assessment. TMJ training was conducted in the metaverse for both groups. Pre- and post-training assessments included the Spielberger State-Trait Anxiety Inventory and a shyness scale to ensure group comparability. A post-test consisting of five questions was administered to both groups after 2 weeks of training.ResultsThere were no significant differences in pretraining scores for prior knowledge (p = 0.67), trait anxiety (p = 0.28), state anxiety (p = 0.92), or shyness (p = 0.42) between the avatar and control groups, indicating comparability at baseline. Post-training analysis revealed significantly higher post-test scores in the avatar group (median = 80) compared to the control group (median = 60) (p = 0.03).ConclusionsMetaverse environments offer various benefits for students, educators, and educational institutions in health education programs. Representing learners and their identities in training environments can enhance learning outcomes.Article Citation - WoS: 3Citation - Scopus: 3Expectancy From, and Acceptance of Augmented Reality in Dental Education Programs: a Structural Equation Model(Wiley, 2024) Toker, Sacip; Akay, Canan; Basmaci, Fulya; Kilicarslan, Mehmet Ali; Mumcu, Emre; Cagiltay, Nergiz ErcilObjectiveDental schools need hands-on training and feedback. Augmented reality (AR) and virtual reality (VR) technologies enable remote work and training. Education programs only partially integrated these technologies. For better technology integration, infrastructure readiness, prior-knowledge readiness, expectations, and learner attitudes toward AR and VR technologies must be understood together. Thus, this study creates a structural equation model to understand how these factors affect dental students' technology use.MethodsA correlational survey was done. Four questionnaires were sent to 755 dental students from three schools. These participants were convenience-sampled. Surveys were developed using validity tests like explanatory and confirmatory factor analyses, Cronbach's alpha, and composite reliability. Ten primary research hypotheses are tested with path analysis.ResultsA total of 81.22% responded to the survey (755 out of 930). Positive AR attitude, expectancy, and acceptance were endogenous variables. Positive attitudes toward AR were significantly influenced by two exogenous variables: infrastructure readiness (B = 0.359, beta = 0.386, L = 0.305, U = 0.457, p = 0.002) and prior-knowledge readiness (B = -0.056, beta = 0.306, L = 0.305, U = 0.457, p = 0.002). Expectancy from AR was affected by infrastructure, prior knowledge, and positive and negative AR attitudes. Infrastructure, prior-knowledge readiness, and positive attitude toward AR had positive effects on expectancy from AR (B = 0.201, beta = 0.204, L = 0.140, U = 0.267, p = 0.002). Negative attitude had a negative impact (B = -0.056, beta = -0.054, L = 0.091, U = 0.182, p = 0.002). Another exogenous variable was AR acceptance, which was affected by infrastructure, prior-knowledge preparation, positive attitudes, and expectancy. Significant differences were found in infrastructure, prior-knowledge readiness, positive attitude toward AR, and expectancy from AR (B = 0.041, beta = 0.046, L = 0.026, U = 0.086, p = 0.054).ConclusionInfrastructure and prior-knowledge readiness for AR significantly affect positive AR attitudes. Together, these three criteria boost AR's potential. Infrastructure readiness, prior-knowledge readiness, positive attitudes toward AR, and AR expectations all increase AR adoption. The study provides insights that can help instructional system designers, developers, dental education institutions, and program developers better integrate these technologies into dental education programs. Integration can improve dental students' hands-on experience and program performance by providing training options anywhere and anytime.Article Citation - WoS: 7Citation - Scopus: 8Quantitative Assessment and Objective Improvement of the Accuracy of Neurosurgical Planning Through Digital Patient-Specific 3d Models(Frontiers Media Sa, 2024) Hanalioglu, Sahin; Gurses, Muhammet Enes; Baylarov, Baylar; Tunc, Osman; Isikay, Ilkay; Cagiltay, Nergiz Ercil; Berker, MustafaObjective Neurosurgical patient-specific 3D models have been shown to facilitate learning, enhance planning skills and improve surgical results. However, there is limited data on the objective validation of these models. Here, we aim to investigate their potential for improving the accuracy of surgical planning process of the neurosurgery residents and their usage as a surgical planning skill assessment tool.Methods A patient-specific 3D digital model of parasagittal meningioma case was constructed. Participants were invited to plan the incision and craniotomy first after the conventional planning session with MRI, and then with 3D model. A feedback survey was performed at the end of the session. Quantitative metrics were used to assess the performance of the participants in a double-blind fashion.Results A total of 38 neurosurgical residents and interns participated in this study. For estimated tumor projection on scalp, percent tumor coverage increased (66.4 +/- 26.2%-77.2 +/- 17.4%, p = 0.026), excess coverage decreased (2,232 +/- 1,322 mm2-1,662 +/- 956 mm2, p = 0.019); and craniotomy margin deviation from acceptable the standard was reduced (57.3 +/- 24.0 mm-47.2 +/- 19.8 mm, p = 0.024) after training with 3D model. For linear skin incision, deviation from tumor epicenter significantly reduced from 16.3 +/- 9.6 mm-8.3 +/- 7.9 mm after training with 3D model only in residents (p = 0.02). The participants scored realism, performance, usefulness, and practicality of the digital 3D models very highly.Conclusion This study provides evidence that patient-specific digital 3D models can be used as educational materials to objectively improve the surgical planning accuracy of neurosurgical residents and to quantitatively assess their surgical planning skills through various surgical scenarios.Article Moocs and Economic Disadvantage: a Path Analysis of 3.5 Million Mitx Learners(Routledge Journals, Taylor & Francis Ltd, 2025) Cagiltay, Nergiz Ercil; Toker, Sacip; Cagiltay, KursatMassive Online Open Courses (MOOCs) are offered by universities and companies to provide quality education to anyone, anyplace and at any time. The impact of economic disadvantage on these courses has not been fully explored despite several studies. This study aimed to investigate the impact of country's income level on the success of 3,523,692 learners from 204 countries enrolled in 174 MITx MOOCs. The countries were classified as low- and lower-middle-income (L&LM) or high- and upper-middle-income (H&UM). A structural equation modelling with multigroup analysis conducted. The findings revealed that learners in the L&LM group performed better academically. Completion rates were 66% for L&LM and 25% for H&UM, and certification rates were 95% for L&LM and 99% for H&UM. This shows that L&LM learners may be more motivated because they believe MOOCs might help their careers. These results are essential for creating MOOCs that fit diverse learner demographics.Article Citation - WoS: 3Citation - Scopus: 3Influence of Gamification on Skill-Based Training of Surgical Residents(Serious Games Soc, 2025) Topalli, Damla; Tokdemir, Gul; Cagiltay, Nergiz ErcilPotentially games increase motivation and thus support the learning process. Gamification effect on different skill levels of surgical residents was limitedly studied. This study aims to better understand the effect of motivation gained through gamification on simulation-based surgical training environments for novice and intermediate surgical residents' performances. An educational scenario with a haptic interface is designed in two versions: gamified and nongamified. The tasks are performed twice, with the dominant and non-dominant hands resemble the task difficulty. 26 novice and intermediate surgical residents were randomly assigned to one of the groups (gamified or nongamified). Gamification positively improved novice surgical residents' performances under both hand conditions. However, surprisingly, in some situations, results indicated lower performance by the intermediates compared to the novices. A flow model for this specific scenario is proposed. To benefit the gamification effect, learners' skill levels and content should be carefully assessed and balanced on simulation-based surgical skill training materials.