The emergence of online learning has sparked increased interest in predicting learners' academic performance to enhance teaching effectiveness and personalized learning. In this context, we propose a complex model APPMLT-CBT which aims to predict learners' performance in online learning settings. This systemic model integrates cognitive, social,…

For a teacher who teaches science concepts to a group of students, he should investigate the level of understanding of various background variants, including differences in dominant multiple intelligence owned by students. This level of understanding can be identified from students' ability to understand concepts in a series of learning phases…

The process of building a teaching platform for contemporary Chinese literature poses many challenges. Based on big data research, this study was conducted using diversified intelligent analysis technology and theory. Through a fuzzy analytic hierarchy process method and relevant steps regarding intelligent parameter improvement, this study…

The study aimed to achieve three objectives: 1) to identify the Multiple Intelligences (MI) perceived by Heilongjiang International University (HIU) students, 2) to develop and implement a task-based English speaking course with MI features, and 3) to evaluate the extent the developed English speaking course contributes to the improvement of HIU…

This paper introduces a blended learning context that creates a community of practice. This community of practice presents a combination of face-to-face facilitated learning, e-learning, and self-study. A set of in-class and online linguistic activities was used in the implementation of this experiment to investigate the efficacy of performing…