The deepened understandings of the Double Reduction policy have instigated a transition from focusing on reduction in homework quantity to emphasizing homework quality in Chinese basic education. The digital transformation in education offers new opportunities to address the current issues with homework management, such as unscientific design of…

The purpose of this research is to develop the learning management model of early childhood teachers in Roi Et Province. The sample group includes early childhood teachers is obtained by selecting a simple random sample of the sample 400 people. The tools used in the research include questionnaires assessment form and learning quizzes for Primary…

This study pursues a comprehensive tripartite agenda: firstly, to investigate the essential requisites for formulating a model geared towards augmenting teachers' 21st century learning management competencies; secondly, to design a tailored model aligned with these competencies; and thirdly, to scrutinize the tangible impact of model…

On e-learning platforms, most e-learners didn't complete the course successfully. It means that reducing dropout is a critical problem for the sustainability of e-learning. This paper aims to establish a predictive model to describe e-learners' dropout behavior, which can help the commercial e-learning platforms to make appropriate interventions…

School dropout is a significant issue in distance learning, and early detection is crucial for addressing the problem. Our study aims to create a binary classification model that anticipates students' activity levels based on their current achievements and engagement on a Canadian Distance learning Platform. Predicting student dropout, a common…

In distance education courses with a large number of students and groups, the organization and facilitation of collaborative writing tasks are challenging. Teachers need support for planning, specification, execution, monitoring, and evaluation of collaborative writing tasks in their course. This requires a collaborative learning platform for…

Background/purpose: Mobile learning (M-learning) has become a crucial component of higher education due to the increasing demand for flexible and adaptive learning environments. However, ensuring personalized and effective M-learning experiences remains a challenge. This study aims to enhance M-learning effectiveness by introducing an AI-driven…

Purpose: This study aims to investigate factors that could predict the continued usage of e-learning systems, such as the learning management systems (LMS) at a Technical University in Ghana using machine learning algorithms. Design/methodology/approach: The proposed model for this study adopted a unified theory of acceptance and use of technology…

This article explores how seven Swedish digital teaching platforms in mathematics make use of the affordances provided by various modalities and dynamic functions. A model based on social semiotics is used to analyse how dynamic functions are used, whether or not the language is technically oriented, if relational or operational processes are…

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 recommendation of courses in an online educational system is done using different factors that include course length, duration, and learning material information. The course design is based on the instructor's teaching style, which may not necessarily correspond with the various learning preferences of students. Matching the learning style of…

Understanding the teacher's technology adoption process is essential to comprehend and narrow the digital divide in the post-epidemic age. During the pandemic, the stay-at-home orders not only intervened schooling and teaching but also increased digital accessibility to teachers. This research studies teacher heterogeneity and adoption controls in…

The goal of this study is to use creative learning to establish a learning management model for primary teachers in the Roi Et Province. Early childhood educators and students from Roi Et Province's Department of Early Childhood Education comprise the sample group. This was acquired using a basic random sampling technique (simple random sampling)…

This research aimed to develop metaverse virtual learning management based on gamification techniques model (MVLM-Gt model) and to evaluate the appropriateness of the model. The research methodology was divided into two parts in accordance with these aims. The first part was the design of the learning step using metaverse virtual learning…

Machine learning (ML) methods are among the most promising technologies with wide-ranging research opportunities, particularly in the field of education, where they can be used to enhance student learning outcomes. This study explores the potential of machine learning algorithms to build and train models using log data from the "3D…