The Effect of Artificial Intelligence Supported Mobile Learning on Nutrition/Hydration Control and Individual Management

Participants in the intervention group will be expected to watch the training video in the mobile application installed on their phones or tablets and then regularly enter all the food and liquid amounts they consume during the day into this application. In the mobile application data entry area, visuals that will be included in the application showing the amount and types of foods consumed by the participants during the day (1 soup bowl, 1 vegetable dish plate, 1 meat dish plate, 1 water glass, 1 tea glass, tablespoon, dessert spoon, teaspoon, ladle). etc.) will choose through. The mobile application will calculate the total amount of liquid consumed by the participants in 24 hours, and will give a yellow warning when the amount of liquid consumed is 2-2.5 liters, an orange warning when it is 2.5-3 liters, and a red warning when it is 3 liters and above. This will contribute to reducing the amount of fluid intake of participants between two dialysis sessions.