Attention Levels Of Students Research Articles

Artificial Intelligence-based System for Detecting Attention Levels in Students.

The attention level of students in a classroom can be improved through the use of Artificial Intelligence (AI) techniques. By automatically identifying the attention level, teachers can employ strategies to regain students' focus. This can be achieved through various sources of information. One source is to analyze the emotions reflected on students' faces. AI can detect emotions, such as neutral, disgust, surprise, sadness, fear, happiness, and anger. Additionally, the direction of the students' gaze can also potentially indicate their level of attention. Another source is to observe the students' body posture. By using cameras and deep learning techniques, posture can be analyzed to determine the level of attention. For example, students who are slouching or resting their heads on their desks may have a lower level of attention. Smartwatches distributed to the students can provide biometric and other data, including heart rate and inertial measurements, which can also be used as indicators of attention. By combining these sources of information, an AI system can be trained to identify the level of attention in the classroom. However, integrating the different types of data poses a challenge that requires creating a labeled dataset. Expert input and existing studies are consulted for accurate labeling. In this paper, we propose the integration of such measurements and the creation of a dataset and a potential attention classifier. To provide feedback to the teacher, we explore various methods, such as smartwatches or direct computers. Once the teacher becomes aware of attention issues, they can adjust their teaching approach to re-engage and motivate the students. In summary, AI techniques can automatically identify the students' attention level by analyzing their emotions, gaze direction, body posture, and biometric data. This information can assist teachers in optimizing the teaching-learning process.

Does the combination of physical activity and attention training affect the motor skills and cognitive activities of individuals with mild intellectual disability?

Individuals with mild intellectual disability (MID) were worse than their peers who typically develop in motor skills and attention-demanding assignments. In this study, effect of a 14-week physical activity and attention training practise on the motor skills, visual retention, perception and attention levels of students with MID were analysed. Twenty-two individuals between 7 and 14 ages participated voluntarily. Activities based on developing attention skills and physical activities enhancing fine-gross motor skills (40 + 60 min./2 days/14 weeks) were given to the experimental group. d2 Test of Attention, Benton Visual Retention and Bruininks-Oseretsky Test of Motor Proficiency-2nd version tests were used as data collection tools. There was significant difference in terms of total number of items processed, commissions, raw score of errors, total number of items minus error scores, concentration performance, Benton visual retention test and perception, fine motor skill precision, fine motor skill integration, manual dexterity and upper-limb coordination values regarding group and time dependant (p< .05). However, there was no significant difference in omissions and fluctuation rate values (p> .05). As a result; it is determined that the combination of physical activity and attention training practises features a positive effect on visual retention, perception, attention and motor skill levels of students with MID.

Measuring the Effectiveness of Exergames among Gen Z using Kinect Sensor and EEG

Nowadays, generation Z are not interested in applying the traditional method in sports or learning activity. General observation found that primary students nowadays are eagerly using technology during learning or sports activity. Exergames using Kinect is one of the solutions to encourage the interest of generation z. This research focusses on the Effectiveness of Exergames using Kinect Sensor among primary students. The research also uses EEG measurement to prove the attention level of students during this activity. The emphasis of this paper is the student's performance and their level of focus. The signals from the EEG set are acquired while the students are playing the games and the Kinect sensor will be able to sense their movements during the session. The Kinect sensor can sense the users' whole body movement and physical activity that makes it more flexible in terms of area of monitoring. Finding from previous research shows that Exergames using Kinect Sensor is more fun and relaxing to increase the attention level of primary students.

The Effectiveness of Using Kahoot in Basic Graphic Design Subject to Students’ Attention Levels and Learning Achievement

&lt;p&gt;The research aims to (1) find out the differences on attention levels of students between using Kahoot and without using learning media in Basic Graphic Design subjects, (2) knowing the effectiveness of using Kahoot in Basic Graphic Design subjects compared to without using learning media in terms of student learning achievement, (3) knowing the level of students’ attention between using the Kahoot compared to without using learning media in Basic Graphic Design subjects. The population of this research were students of Multimedia class in SMK Negeri 3 Surakarta. The sample were from X MM 1, X MM 2, and XI MM 1. This type of research is quantitative research. This research uses the quasi-experimental design method, with pretest-posttest control design experiment. The sampling technique uses simple random sampling. Research data collection techniques use tests to determine student learning achievements before and after being given treatment, and questionnaires to determine the level of attention of students before and after being given treatment, other than that carried out observations and interviews as supporting data. The research data use test and questionnaires which were distributed to the experimental class and the control class consisted of 36 students for each class. Hypothesis testing uses an independent t-test to see the differences of attention levels between students who follow the learning process by using Kahoot and those who follow the learning process without using learning media. Then a normalized gain test was carried out to see the effectiveness of using Kahoot to improve student learning achievement. The result showed that: 1) there were differences in the attention levels between the experimental class and the control class as evidenced by the results of the t-test &amp;gt;Ttable 6.699 &amp;gt; 2.6479(70). 2) using Kahoot is effective to improve student learning achievement as evidenced by the results of the normalized gain test in experimental class which has a medium criterion of 0.60 compared to the control class which has a low criterion of 0.03.&lt;/p&gt;

Impact of Kinect Game on Primary School Students' Mental Computation Speed

This article investigates the effect of kinesthetic educational game on students' mental computation speed. A Solomon four-group design was used to avoid the influence of pretest-posttest design. In order to determine which grade is appropriate for this game, a pilot study was conducted with 30 students. As for the main study, 123 students participated. First, the group was divided into two as control group and experimental group. The participants of the control group played a computer game while the members of experimental group played a kinesthetic educational game. According to Solomon, using a four-group model the study group was divided into 4 separate groups. The groups were randomly assigned and two of them were applied a pre-test. After the pre-test, in order to measure the attention level of students, a d2 test of attention was applied. The study lasted for 8 weeks in total. At the end of the study, a significant difference was found between the mental computation speeds of the experimental and the control groups. The second significant finding in this study was that there was a difference between the mental computation speeds of students depending on their cognitive characteristics. In other words, students with a low attention level finished the games in a longer period of time in comparison with students who have middle and high attention levels. It was concluded that students with a low attention level have lower mental computation speed. The results suggest that within primary school, Kinect-based exergames can be exploited as effective and motivational learning environments.