Adolescence is often portrayed in a negative light in Western culture, with teens being viewed as rebellious and irresponsible. Yet, there is substantial cultural and individual variability in views of teens. The empirical research to date is limited in that it mainly examines whether teen stereotypes are influential at the individual level. Teen…

Robotics Education (RE) is viewed as a tool to narrow the gender gap in STEM fields, especially for promoting girls' learning. As an emerging and potential model in RE, Pair Learning (PL) is different from Individual Learning (IL), which is impacted by many factors. Among them, social factors need to be further explored. Therefore, this study…

Among the literature on self-regulated learning and social networking, the studies, which explore the impact of social networks on learning regarding connection sizes and relationship-establishing factors, are rarely seen in the context of social networking among strangers. This descriptive study addresses the gap by exploring data from 468…

Children can teach themselves new words via independent text reading. Previous studies on self-teaching heavily focused on learning to read in a first language (L1). Limited work was devoted to learning a second language (L2). We investigated the roles of exposure time of target pseudowords (four vs. six), availability of context (cohesive story…

With the rapid development of the Internet and other related technologies, the educational community has come to accept the use of educational technology in the classroom. Its innovation not only transforms teaching techniques but also expands students' channels and resources for learning. This article explores the use of educational technology in…

This study utilizes a comparative experimental research method to investigate the effect of the Predict, Observe, Explain, and Evaluate (POEE) learning strategy in an immersive virtual environment (IVE) on two types of learners with different levels of prior knowledge. One type referred to as Highly Experienced and Knowledgeable (HEK) learners,…

The present study employed virtual reality technology to develop online learning environments that facilitated student cultural and self-directed learning. Junior high school participants engaged in creating virtual tours, sharing them with peers online, and implementing self-directed learning strategies. A one-group posttest-only design was…

Autonomous learning not only requires students to self-monitor and adjust their cognition, emotions, motivation, behavior, and environment, but also requires the creation of external environments and the provision and support of teaching strategies. Protocol-guided learning is a localized teaching strategy in the mainland of China. This study…

Personalized education systems recommend learning contents to students based on their capacity to accelerate their learning. This paper proposes a personalized exercise recommendation system for online self-directed learning. We first improve the performance of knowledge tracing models. Existing deep knowledge tracing models, such as Dynamic…

Autonomous learning materials play a vital role in developing students' autonomy. By providing students with appropriate autonomous learning materials to meet their self-diagnosis learning needs, this can effectively improve students' academic performance. During the COVID-19 pandemic, students' learning changed from offline to online. However, in…

In the "Internet+" era, to understand the difference between the traditional classroom and smart classroom, this study uses the current domestic and foreign classroom teaching behavior research methods as a starting point and analyzes the teaching behaviors in classrooms from six dimensions: resource sharing, teacher lecturing,…

The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…