As asynchronous online discussions gain a broader usage due to the COVID-19 epidemic, the need for understanding of students' ideas from unstructured textual data becomes more pressing. In this experimental study, we examine the effects of recommendations on message quality and community formation from voluminous online discussions. Drawing on…

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…

The intent of this research project was to address a perceived lack of capacity to address controversial topics or differences of perspective with civil discourse when engaged in learning in an online graduate course. Using carefully designed discussion prompts, students were asked to post, respond and reflect on their own research projects and…

This classroom-based action research aimed to determine the applicability of implementing Collaborative Learning in online setting to help students develop their interaction with one another and improve their academic performance. Participants of the study consisted of Grade 8 intact pilot section of a public school in an urban community which…

Purpose: This paper aims to explore the current state of website environmental communications in Latin American universities through a benchmarking operational tool. The study considers how these universities communicate their environmental policies as an act of corporate social responsibility and to improve their public image.…

Academic discourse communities and learning circles are characterized by collaboration, sharing commonalities in terms of social interactions and language. The discourse of these communities is composed of jargon, common terminologies, and similarities in how they construe and communicate meaning. This study examines the extent to which discourse…

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…

Unstructured data in social media is as part of the "big data" spectrum. Unstructured data in Social media can provide useful insights into social phenomena and citizen opinions, both of which are critical to government policy and businesses decisions. Teachers of business intelligence and analytics commonly use quantitative data from…

Much research has examined how different patterns of social interaction shape language learners' interactional roles (e.g., collaborative, dominant, passive) in peer-to-peer conversations. However, little or no research has investigated the co-construction of such roles in multiparty, online task-based dialogues within the framework of discursive…

Despite the growing interest in examining the link between peer-peer collaborative dialogue and second language (L2) development in recent years (Swain, Brooks, & Tocalli-Beller, 2002), much of the empirical work in this regard focused on face-to-face communication, leaving the operationalization of collaborative dialogue in text-based…

This publication offers the 56th Yearbook of the National Reading Conference (NRC). This Yearbook begins with a preface and presents profiles of three awardees, Michael C. McKenna, Douglas K. Hartman, and Michael Kamil. Included in this Yearbook are the following papers: (1) What's It All About? Literacy Research and Civic Responsibility (Victoria…