In this contribution, we present a follow-up work-in-progress on an innovative system for facilitating small-group online discussions using an avatar during a video conference. A previous study has shown that the system had an effective, understandable, and more participatory interaction. Here, we examine long-term usage and its effects on…

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,…

Written answers to open-ended questions can have a higher long-term effect on learning than multiple-choice questions. However, it is critical that teachers immediately review the answers, and ask to redo those that are incoherent. This can be a difficult task and can be time-consuming for teachers. A possible solution is to automate the detection…

This report describes a randomized controlled study that compared the personalization of educational content based on neural networks to personalization by human experts. The study was conducted in a graphically rich online learning environment for elementary school mathematics, in which N = 135 fourth- and sixth-grade students learn via…

Technological advancements have ushered in a new era of global educational development. Artificial Intelligence (AI) holds the potential to enhance teaching effectiveness and foster educational innovation. By utilizing student posture as a proxy, computer vision technology can accurately gauge levels of student engagement. While previous efforts…

This study aimed to make and introduce a curriculum in Taiwan for fifth-grade students, merging Scratch animation with the Sustainable Development Goals (SDGs). The curriculum combined the Scratch Reflective AI digital learning platform with conventional teaching methods to assess its effect on students' empathy, self-efficacy, and scriptwriting…

Recently, automatic question generation (AQG) has been researched extensively for educational purposes. Existing approaches generally lack relevant information on the authentic context and problem diversity with various difficulty levels, so we proposed a new AQG system for generating contextualized and personalized mathematic word problems (MWP)…

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…

With recent advances in generative artificial intelligence, it may come as no surprise that AI influences our society in profound ways. This dissertation project examines how educational and social media platforms and their algorithms shape educational practices and the identity, digital literacies and views of middle school youth participants.…

This study investigated: (a) how the task relevance of postings differed between anonymous versus identified online discussions in elementary school, and (b) how game-like conversations with story characters impacted the task relevance of postings. A total of 342 fourth graders in Slovenia participated in the study. During one and a half-hour,…

The purpose of this study is twofold: (1) to develop a service-learning-based module training artificial intelligence (AI) subject (SLBM-TAIS); and (2) to evaluate the effect of SLBM-TAIS on preservice teachers' (PSTs') practical knowledge and motivation, as well as primary school students' attitude towards AI in China. Participants of this study…

Self-regulated learning (SRL) is a critical 21st -century skill. In this paper, we examine SRL through the lens of the searching, monitoring, assessing, rehearsing, and translating (SMART) schema for learning operations. We use microanalysis to measure SRL behaviors as students interact with a computer-based learning environment, Betty's Brain. We…

This study aimed to develop a specialized rule-based AI chatbot tailored for a sixth-grade optics unit and to evaluate the impact of the implementation of the chatbot on students' cognitive and affective outcomes related to science within the classroom setting. Specifically, this study explored how factors such as gender and achievement levels…

Fostering young learners' computational thinking in AI-based robots is a crucial issue in educational settings. However, there was the complexity of technology in supporting learning activities and the gender gap issue, so an appropriate strategy is needed to guide students to achieve the learning goals. In this study, an AI (Artificial…