Online discussion forums are highly valued by instructors due to their affordance for understanding class activities and learning. However, a discussion forum with a great number of posts requires a large amount of time to view, and help requests are easily overlooked. Various machine-learning--based tools have been developed to help instructors…

In this article, we investigate a systematic workflow that supports the learning engineering process of formulating the starting question for a conversational module based on existing learning materials, specifying the input that transformer-based language models need to function as classifiers, and specifying the adaptive dialogue structure,…

A text semantic classification is an essential approach to recognizing the verbal intention of online learners, empowering reliable understanding, and inquiry for the regulations of knowledge construction amongst students. However, online learning is increasingly switching from static watching patterns to the collaborative discussion. The current…

The aim of this study is to determine the metaphorical ideas held by learners/graduates who engage in online student communities within the Anadolu University Open and Distance Education System, specifically with the concept of "online student communities". The study utilized a qualitative research methodology, specifically employing the…

In recent years, the use of asynchronous discussion forums in online learning has increased rapidly. In earlier studies, content analysis is the most-used research method in exploring the discussion transcripts. However, conventional content analysis is a time-consuming task and requires experienced coders. There is a need for an automated…

The substantial growth of online learning, and in particular, through massively open online courses (MOOCs), supports research into nontraditional learning contexts. Learners' confusion is one of the identified aspects which impact the overall learning process, and ultimately, course attrition. Confusion for a learner is an individual state of…

This case study uses an equity-focused research lens to accomplish two tasks using data from two North Carolina community colleges. First, it situates community college virtual exchange programming within a pre-existing program typology to explore the extent to which community college virtual exchange is included in current conversations in…

With the rise of the internet, work from the of fields of digital sociology, communications/social media studies, and online research methods have become increasingly relevant for music education scholars both investigating and facilitating music teaching and learning in online contexts. While opportunities for online music making, teaching, and…

Growing interest in online learning has instructors looking for new ways to engage learners in asynchronous discussions. Building on experiences with hashtag use to connect on social media platforms, the purpose of this study is to investigate the contexts of hashtag use and its associated impact on learner engagement in asynchronous online…

This case study examined patterns in online communication using computer-mediated discourse analysis to better understand how teaching presence, social presence, and cognitive presence are manifested in an online learning environment. The findings indicate that study participants actively participated in the discussion. The instructor and…

The goal of a creating civil discourse in teacher education deeply intersects with the ways that students interact in online discussions. However, as discussion shifts to online formats, digital misinformation is becoming widespread and threatens critical and civil communication as cognitive biases emerge in dialogue. The purpose of this case…

The current program of research included two studies that developed the Student Online Misbehaviors (SOMs) scale and explored relationships between the SOMs and various classroom communication processes and outcomes. The first study inductively developed initial SOM typologies and tested factor structure via an exploratory factor analysis.…

In e-learning systems, the tutors play many roles and carry out several tasks that differ from one system to another. The activity of tutoring is influenced by many factors. One factor among them is the assignment of the appropriate profile to the tutor. For this reason, the authors propose a new approach for modeling and evaluating the function…

In Massive Open Online Courses (MOOCs), struggling learners often seek help by posting questions in discussion forums. Unfortunately, given the large volume of discussion in MOOCs, instructors may overlook these learners' posts, detrimentally impacting the learning process and exacerbating attrition. In this paper, we present YouEDU, an…

In recent years, a number of models concerning problem solving systems have been put forward. However, many of them stress on technology and neglect the research of problem solving itself, especially the learning mechanism related to problem solving. In this paper, we analyze the learning mechanism of problem solving, and propose that when…