With the development of web-based science inquiry learning, behavioral engagement in such learning contexts received more and more attention. Combined with specific science inquiry stages: comparative experiment design, implementation with computer simulation, and reflection on results, the current study explored a series of features from log data…

This study evaluated the stress experienced by teachers as a result of the shutdown of schools in March 2020 due to the coronavirus pandemic and the shift to digital teaching. A five-item scale, the Coronavirus Questionnaire (CQ), was created to capture the stress caused specifically by the changes schools had to make as a result of the…

The well-studied Baker et al., affect detectors on boredom, frustration, confusion and engagement concentration with ASSISTments dataset were used to predict state tests scores, college enrollment, and even whether a student majored in a STEM field. In this paper, we present three attempts to improve upon current affect detectors. The first…

In Taiwan elementary schools, Scratch programming has been taught for more than four years. Previous studies have shown that personal annotations is a useful learning method that improve learning performance. An annotation-based Scratch programming (ASP) system provides for the creation, share, and review of annotations and homework solutions in…

Learning objects are interactive online tools that support the acquisition of specific concepts. Limited research has been conducted on factors that affect the use of learning objects in K-12 mathematics classrooms. The current study examines the influence of student characteristics (gender, age, computer comfort level, subject comfort level, and…

In this paper, we investigate the correspondence between student affect and behavioural engagement in a web-based tutoring platform throughout the school year and learning outcomes at the end of the year on a high-stakes mathematics exam in a manner that is both longitudinal and fine-grained. Affect and behaviour detectors are used to estimate…

Advances in computer technologies and adoption of related methods and techniques in education have developed parallel to each other. This study focuses on the need to utilize more than one teaching method and technique in education rather than focusing on a single teaching method. By using the pre-test post-test and control group semi-experimental…

Education in an online setting is an increasingly popular method of instruction. Previous studies comparing college or high school student performance in online and face-to-face courses found, in most cases, similar achievement between conditions. However, research is lacking regarding middle school students' academic performance and attitudes…

This study reports the impact of Recurrent On-Line Synchronous Scientific Argumentation learning on 8th grade students' scientific argumentation ability and conceptual change involving physical science. The control group (N = 76) were recruited to receive conventional instruction whereas the experimental group (N = 74) received the Recurrent…

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…

The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…