• Tanrıverdi, Ö. & Esgin, E.
• Proceedings of the 10th International Computer and Instructional Technologies Symposium (ICITS), 16-18 May, Rize.

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Abstract
In this study, Brain-Computer Interfaces (BCI) was approached with the concept of Human-Computer Interaction (HCI) and BCI was examined elaborately by reviewing the related literature. Although HCI simply phrase interaction of human with computer, these words are not enough to define it because HCI is a complex workspace. According to the definitions in the literature; HCI can be defined as an interdisciplinary field dealing with planning, implementing and evaluating interactive computing systems and surroundings for human use. Another issue of HCI is the design of graphical user interfaces (GUIs). The purpose of GUIs is to provide individuals understand the presented information. From these, BCI will be examined within the scope of this research. BCI, consist of the person that sends commands and messages to communicate with the outside world are kept under control with a system without passing through peripheral nerves of the brain and muscles. These interfaces is quite important and new technology to patients who have lost speech and ability to act. BCI in applications are used EEG, ECoG, FMRI and PET techniques. Most of these techniques are expensive and not suitable for faster communication techniques. BCI systems can be achieved easy, fast and practical results so the EEG is preferred. EEG signals which measure the activity in the brain is bioelectrical signals by connecting a number of electrodes on a person's skull and scalp. The computer saves these marks at a certain time interval. It provides that disease are annotated and followed with bioelectric signals within the period. According to research, it has been shown to be stored in multiple neurological signs in this signals. This signals are used treatment the patients in addition to creating BCI and provide communication with electronic devices (computers, electronic devices, mechanic etc.). The purpose of BCI study measured the brain to interpret signals is formed and the communication process between brain computer. In the BBA systems depend on processing EEG signals and classifying these attributes to communication with electronic devices and produce appropriate commands. Electrode attached to the brain belongs to which of the signals collected from class is decided by adding the attribute of EEG signal. The subject of the most basic and the most power of the BBI application bring out an attribute. Saved disruptive noise as neurological signs, called data sources are included. Racking the resources needs to be extracted. Later in the process, important features of EEG signals should be determined and the obtained data should be bring out attribute. These attributes are kept subject to the classification process. After the classification process is completed faster and more accurately, the sing is converted to identifiable data and it can be used through interfaces. BBA studies is used in the treatment of patients as well as Neuroscience research, remote control devices, intelligent home applications, educational applications, gaming applications and in many workspaces. Brain-computer interfaces must be extended and the cost should be reduced to be used in many workspace. Thus, it is believed that people's quality of life can be improved. Although Brain-computer interfaces which is one of a limited number of areas in the field of educational technology, studies have been conducted on this topic. BCI's how that can be used in education, work without firm conclusions on the point of success will provide the level at which it is made. In the field of education, to learn about the neural development of reading and language skills in children, whether it is possible to read the brain, such as the impact on music education research is done in many ways. Finally, this research has made some conclusions and recommendations regarding the use of the BCI technology in the field of educational technology.