The affinity space framework has proven useful for explaining and understanding teacher activity on social media platforms. In this study, we explore the 'dark side' of teacher affinity spaces by documenting a partisan teachers' group on an alternative social media platform. We used a mix of a priori and emergent coding to analyse screenshots of…

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…

Despite decades of research and thousands of peer-reviewed articles on nonverbal communication written by a worldwide community of academics, a number of people in position of power, including security, justice and legal practitioners have embraced "body language" pseudoscience. This autoethnography aims to offer an otherwise…

In this paper, we report on a study involving third-year undergraduate mathematics students who were taking a course in Mathematics Education. The participants, prospective teachers, discussed typical misconceptions in mathematics. They first worked in Moodle environment communicating in small groups and with the whole class using Quick Chat…

Background: Providing students with worked out problem solutions is a beneficial instructional technique in STEM disciplines, and studying examples that have been worked out incorrectly may be especially helpful for reducing misconceptions in students with low prior content knowledge. However, past results are inconclusive and the effects of…

As a fast-growing population in US. society, Asian Americans, particularly Chinese Americans, have started to engage more actively and amplify their presence in the recent legal challenges to affirmative action in college admissions. In order to get a deeper understanding of how US.-based Chinese view affirmative action, we conducted a textual…

This study examines the effectiveness of an undergraduate intercultural learning assignment immediately and over time. Students were asked to consider what they know or believe about refugees and the sources of their information. They then engaged in two one-hour online interviews with a refugee. After the interviews, they wrote reflective…

Online platforms are increasingly the main point of contact between schools and students, families, and the community. In this article, we present a framework, called "Flipping the Script," that we developed while researching how students, teachers, and families were portrayed on school websites. Based on a systematic analysis of nearly…

Background: In the US, and conspicuously via social media, we are witnessing an acceleration of what we term historical knowledge mobilisation: increasingly and in various ways, evidence derived from academic historical research is being shared with broader publics. Moreover, evidence-based and false or misleading historical claims are being…

Purpose: Because health misinformation pertaining to COVID-19 is a serious threat to public health, the purpose of this study is to develop a framework to guide an online intervention into some of the drivers of health misinformation online. This framework can be iterated upon through the use of design-based research to continue to develop further…

Design and architecture students who have started university in 2020, unlike the students before, attended virtual studios without experiencing the physical studio environment. The vast majority of them attended classes from their rooms or living rooms of their homes in different cities and tried to meet the requirements of the courses. Their…

Cyberbullying has become a well-documented problem plaguing the mental health and safety of teenagers in schools. An examination of the literature that includes other complex social/emotional issues provides a framework for more effective cyberbullying prevention and intervention strategies. This article examines current research, highlights…

Designing corrective messages to debunk misinformation online is an important practice toward ending the coronavirus disease (COVID-19) pandemic as health-related misinformation has proliferated on social media misguiding disease prevention measures. Despite research on the use of statistical evidence and message modality in persuasion, the…

This case study is a methodological reflection of the study titled "Developing an AI-based Chatbot for Practicing Responsive Teaching in Mathematics." The study aimed to leverage artificial intelligence (AI) to address a critical issue in mathematics teacher education--the absence of children for preservice teachers (PSTs) to practice…

This article provides computational and rule-based approaches for detecting confusion that is expressed in students' comments in couse forums. To obtain reliable, ground truth data about which posts exhibit student confusion, we designed a decision tree that facilitates the manual labeling of forum posts by experts. However, manual labeling is…