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Article Citation - WoS: 10Citation - Scopus: 16Student Engagement Research Trends of Past 10 Years: a Machine Learning-Based Analysis of 42,000 Research Articles(Springer, 2023) Gurcan, Fatih; Erdogdu, Fatih; Cagiltay, Nergiz Ercil; Cagiltay, KursatStudent engagement is critical for both academic achievement and learner satisfaction because it promotes successful learning outcomes. Despite its importance in various learning environments, research into the trends and themes of student engagement is scarce. In this regard, topic modeling, a machine learning technique, allows for the analysis of large amounts of content in any field. Thus, topic modeling provides a systematic methodology for identifying research themes, trends, and application areas in a comprehensive framework. In the literature, there is a lack of topic modeling-based studies that analyze the holistic landscape of student engagement research. Such research is important for identifying wide-ranging topics and trends in the field and guiding researchers and educators. Therefore, this study aimed to analyze student engagement research using a topic modeling approach and to reveal research interests and trends with their temporal development, thereby addressing a lack of research in this area. To this end, this study analyzed 42,517 peer-reviewed journal articles published from 2010 to 2019 using machine learning techniques. According to our findings, two new dimensions, "Community Engagement" and "School Engagement", were identified in addition to the existing ones. It is also envisaged that the next period of research and applications in student engagement will focus on the motivation-oriented tools and methods, dimensions of student engagement, such as social and behavioral engagement, and specific learning contexts such as English as a Foreign Language "EFL" and Science, Technology, Engineering and Math "STEM".Article Citation - WoS: 6Citation - Scopus: 10Comparison of the Discussion Sections of Phd Dissertations in Educational Technology: the Case of Turkey and the Usa(Springer, 2018) Karsli, Meva Bayrak; Karabey, Sinem; Cagiltay, Nergiz Ercil; Goktas, YukselIn academic studies, the discussion section is important in which the effect of the results of the study on the existing literature is highlighted and interpreted. The aim of the current paper is to compare the discussion sections of Turkish and American PhD dissertations in the field of Educational Technologies, taking into consideration the basic features that should be found in an effective discussion section. For this purpose, a content analysis was carried out using a checklist developed to examine the basic components, the presentation of the results, the interpretation of the results, and the overall language of 120 PhD dissertations published in this field. The study showed although there were strong aspects, the contribution to the literature and limitations of studies were only included in some of the Turkish PhD dissertations; however, they were included in the majority of American PhD dissertations. Almost all of the dissertations explained the findings and their significance; however, there was no emphasis on the significant and interesting findings in Turkish PhD dissertations. The number of pages of the discussion section in Turkish and American PhD dissertations was almost the same, and the relationship between the number of pages of the discussion section and the quality of the discussion section was rather weak in the dissertations from both countries. The results obtained from the study were evaluated in general and suggestions to consider when writing the discussion section are given.Article Citation - WoS: 15Citation - Scopus: 15Construct and Face Validity of the Educational Computer-Based Environment (ece) Assessment Scenarios for Basic Endoneurosurgery Skills(Springer, 2017) Cagiltay, Nergiz Ercil; Ozcelik, Erol; Sengul, Gokhan; Berker, MustafaBackground In neurosurgery education, there is a paradigm shift from time-based training to criterion-based model for which competency and assessment becomes very critical. Even virtual reality simulators provide alternatives to improve education and assessment in neurosurgery programs and allow for several objective assessment measures, there are not many tools for assessing the overall performance of trainees. This study aims to develop and validate a tool for assessing the overall performance of participants in a simulation-based endoneurosurgery training environment. Methods A training program was developed in two levels: endoscopy practice and beginning surgical practice based on four scenarios. Then, three experiments were conducted with three corresponding groups of participants (Experiment 1, 45 (32 beginners, 13 experienced), Experiment 2, 53 (40 beginners, 13 experienced), and Experiment 3, 26 (14 novices, 12 intermediate) participants). The results analyzed to understand the common factors among the performance measurements of these experiments. Then, a factor capable of assessing the overall skill levels of surgical residents was extracted. Afterwards, the proposed measure was tested to estimate the experience levels of the participants. Finally, the level of realism of these educational scenarios was assessed. Results The factor formed by time, distance, and accuracy on simulated tasks provided an overall performance indicator. The prediction correctness was very high for the beginners than the one for experienced surgeons in Experiments 1 and 2. When non-dominant hand is used in a surgical procedure-based scenario, skill levels of surgeons can be better predicted. The results indicate that the scenarios in Experiments 1 and 2 can be used as an assessment tool for the beginners, and scenario-2 in Experiment 3 can be used as an assessment tool for intermediate and novice levels. It can be concluded that forming the balance between perceived action capacities and skills is critical for better designing and developing skill assessment surgical simulation tools.
