A few states (e.g., Maryland, Georgia, and Florida) have initiated efforts to incorporate artificial intelligence outcomes in K-12 education but others are still relying on informal spaces for learning and literacy in this area. In this manuscript, we share the curriculum and content of an informal effort focused on students in grades 7-10. We combined artificial intelligence competencies with Internet of Things skills to enable meaningful learning covering all Five Big Ideas in AI. In our one-week summer camp, students experimented with perceptions by working with vision, infrared, and ultrasonic sensors. They learned about representation through work with neural network playgrounds. Students engaged in supervised learning of an image processing model and used the model to control the actions of a robot car. Natural interactions and societal impacts were assessed as students observed the robot car's behavior. Results demonstrate that our curriculum was successful in achieving its objectives. Excluding the robot car kit, the curriculum was created using free platforms and tools. This program could be replicated in informal settings by any educator or collaborator with a computer science background. This paper describes our summer camp curriculum, its components and their implementation, the lessons learned, and potential future enhancements.

Moving a caret to the desired position in a text field is challenging and inefficient, especially when the user has only one hand available to hold and interact with a mobile phone. We propose a shortcut on keyboards that enables precise and efficient caret positioning in a text field on mobile devices. The proposed method uses a long press on a key to determine the desired position for the caret in the text field. A lab experiment was conducted to compare the shortcut with the traditional handle method and an existing method provided by the Google Keyboard. Even though participants were using the proposed shortcut for the first time, the technique achieved a higher task completion speed comparing to the Google method and was as quick as the traditional handle method. It also showed advantages in accuracy and user perceptions than the other two methods for one-handed interaction.