Although researchers recognize the importance of discussing support for math learning within online learning communities, there is a lack of relevant network classifying methods and analyses at the group level to understand the behavioral differences between groups with varying levels of activity, including their mathematical literacies. In this…

The purpose of this Action Research study was to examine, understand, strengthen, and improve how virtual platforms can be used to support the challenges novice teachers face. This document will outline the study's objective for collecting data within the initial stages of this action research study. By fostering deeper relationships between…

The Flipped Classroom Model (FCM) has gained widespread acceptance in higher education as an effective pedagogical strategy. Despite its success, the FCM still faces persistent concerns, including a lack of personalized interaction, limited application to introductory courses, and insufficient analysis of the learning process. The integration of…

In the e-learning context, social network analysis (SNA) can be used to build understanding around the ways students participate and interact in online forums. This study contributes to the growing body of research that uses statistical methods to test hypotheses about structures in social networks. Specifically, we show how statistical analysis…

This study explores the role of artificial intelligence (AI) in K-12 student assessment practices, focusing on educators' use of AI tools. Through content analysis of active Facebook groups dedicated to AI in education, the authors examined how educators integrate AI into assessment across various grade levels and subjects. Using the Technology…

Many scholars recommend preparing faculty for educator roles. Faculty Learning Communities, The Scholarship of Teaching and Learning (SoTL), and teaching centers represent common preparatory approaches. But faculty and teaching assistants report time, disciplinary disconnects, and lack of incentives as ongoing barriers. Inspired by K-12's…

Traditional assessment in international sports communication is often fragmented and subjective, limiting timely, learner-centered feedback. This study presents a curriculum framework enhanced by generative artificial intelligence, coupled with a deep learning (DL) model for instructional effectiveness assessment in international sports…

This article examines how students can use the ePortfolio tool and platform to facilitate and foster increased opportunities for interactions with formal academic advisors and informal mentors. The learning documented within an ePortfolio can be especially useful as a resource for advisors and mentors who are looking not only to connect with their…

This paper is designed to explore the current status of Chinese EFL teachers' use of digital resources in doing research and its influential factors. It classifies digital resources into six types aligned to the research process and uses the revised TAM to find out and explain its influential factors. A total of 180 teachers were investigated via…

Online learning has attracted a large number of participants and is increasingly becoming very popular. However, the completion rates for online learning are notoriously low. Further, unlike traditional education systems, teachers, if any, are unable to comprehensively evaluate the learning gain of each student through the online learning…

The Visitors and Residents model of internet use suggests a continuum of modes of engagement with the online world, ranging from tool use to social spaces. In this paper, we examine evidence derived from a large cohort of students to assess whether this idea can be validated by experimental evidence. We find statistically significant differences…

Collaboration is a key component of our practice as teachers and teacher educators and there is a need to develop generative models for collaboration among teacher educators. We have created and tested a model of collaboration. Data were drawn from: recordings of monthly group meetings; discussion threads and documents on our leaning management…

Social media or social networking sites have been used to support online learning with good interactive features. If an existing system can retain current users and attract new users, it can provide greater benefits and influence in the field of online learning. However, most previous studies focus on learner participation intention, and rarely…

In this study, we develop a theoretical model to investigate the association between social network properties, "content richness" (CR) in academic learning discourse, and performance. CR is the extent to which one contributes content that is meaningful, insightful and constructive to aid learning and by social network properties we…

This study investigates a possible way to analyze chat data from collaborative learning environments using epistemic network analysis and topic modeling. A 300-topic general topic model built from TASA (Touchstone Applied Science Associates) corpus was used in this study. 300 topic scores for each of the 15,670 utterances in our chat data were…