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,…

This study used a multiple probe across participants design to (a) evaluate the use of system of least prompts to teach students to self-instruct and (b) evaluate the use of a mobile device for a video activity schedule of a functional daily living skill. In baseline, the classroom teacher asked participants to make a snack and collected…

American schools are becoming increasingly diverse, with an estimated 17 million first- and second-generation refugee and immigrant children residing in the United States. English learners navigate the challenges of learning how to read, write, and speak a new language, all while being expected to stay on grade level. Classroom teachers nationwide…

This study focuses on learning in three different hypermedia environments that either support autonomous learning, learner-controlled learning or system-controlled learning and explores the mediating role of academic self-regulation style (ASRS; i.e. a macro level of motivation) on learning. This research was performed to gain more insight in the…

The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…