No abstract

Bu makaleye şu şekilde atıfta bulunabilirsiniz (To cite to this article): Karahan Ç. ve Tüfekci A., "Blokzincir teknolojisinin dijital kimlik yönetiminde kullanımı: Bir sistematik haritalama çalışması",

Earlier in 2020 a knowledge management project was initiated with the aim of organizational performance improvement at a service company. A maturity model was applied for the gap analysis and a systematic literature review was conducted to shape the project. As the COVID-19 grew to a global scale, the aim of the project has shifted into ensuring the business continuity of the case company. Without major changes the project was carried out. At the end it was observed the company not only operated without being affected from the pandemic situation but also improved their organizational performance as aimed initially.

The education-training process and all activities related to it have the power to direct the future of societies. From this point of view, the process should be analyzed frequently in terms of input, output, and other process elements. Educational data mining is a multidisciplinary research area that develops methods and techniques for discovering data derived from various information systems used in education. It contributes to the understanding of the learning styles of learners and enables data-driven decision making to develop existing learning practices and learning materials. The number of academic and technical research on educational data mining is on the rise, and this has led to the need to systematically categorize the existing practices. This systematic mapping study was conducted to provide an overview of the current work on educational data mining and its results are based on 153 primary sources including journal papers, articles published in magazines, conference and symposium papers, theses, and others.

Objective of this work is to introduce an Artificial Intelligence supported educational software system, which has been developed for teaching important subjects of computer programming: algorithm and flowchart concepts, and touch upon the findings, which were obtained for evaluating success of the system. The software system introduced in the work is tightly connected to the rule of teaching essential computer programming concepts, but ensures this task in the context of an Artificial Intelligence supported, intelligent mechanism. In order to have idea about whether the software is an effective teaching tool or not, a general evaluation process has been planned; students subjected to the work have been taken into this process. Findings obtained via evaluation process have shown that the developed software system is successful at effectively teaching the algorithmic thinking logic, which is the essential focus, and algorithm - flowchart concepts. Additionally, it is also possible to express that the software system has improved students' success rates in the courses related to essentials of computer programming and students have found both software and the performed educational processes pretty effective.