This article reports on a case study from a larger project exploring ways in which online citizen science projects can enhance students' learning in science and in digital technology. In this case, two teachers integrated the digital technology curriculum with the science capability "interpreting representations" using the engaging…

Our research aims to predict students' academic performance by considering the variables affecting academic performance in science courses using the deep learning method from machine learning algorithms and to determine the importance of independent variables affecting students' academic performance in science courses. 445 students from 5th, 6th,…

Artificial intelligence and technologies have started to directly affect and steer humanity with the developments in science and technology in recent years. Artificial intelligence is like a living organism that thinks, decides and remembers for humans. The effects and consequences of this situation on individuals and societies are explicitly…

Artificial intelligence (AI) education in kindergarten through high school (K-12) is advancing in many countries, including the United States. The purpose of this research has been to better understand the impact of participation in an AI course on the sixth, seventh, and eighth-grade students' overall interest, career interest in AI, and…

Scalable and accessible professional development programs have the potential to address the opportunity gap many teachers experience. Yet many asynchronous online programs lack interaction with and timely feedback to teachers. We addressed this problem by developing a virtual, interactive program that uses intelligent tutoring systems to provide…

The integration of artificial intelligence (AI) topics into K-12 school curricula is a relatively new but crucial challenge faced by education systems worldwide. Attempts to address this challenge are hindered by a serious lack of curriculum materials and tools to aid teachers in teaching AI. This article introduces the theoretical foundations and…

This research was supported within the scope of TÜBITAK-4004 Nature Education and Science Schools Program with Project number 121B899. In this research, it is aimed to evaluate the "Artvin gets Color with Science and Robotics 2" project, which was carried out with 30 secondary school 6th and 7th grade students between 2-8 August 2021…

Recent work describes methods for systematic, data-driven improvement to instructional content and calls for diverse teams of learning engineers to implement and evaluate such improvements. Focusing on an approach called "design-loop adaptivity," we consider the problem of how developers might use data to target or prioritize particular…

Generative AI, particularly Language Models (LMs), has the potential to transform real-world domains with societal impact, particularly where access to experts is limited. For example, in education, training novice educators with expert guidance is important for effectiveness but expensive, creating significant barriers to improving education…

Background: The importance of high school completion for jobs and postsecondary opportunities is well- documented. Combined with federal laws where high school graduation rate is a core performance indicator, school systems and states face pressure to actively monitor and assess high school completion. This proposal employs machine learning…