Purpose: This study aims to evaluate the effectiveness of three large language models (LLMs), GPT-4o, Llama 3.3 70B and Llama 3.1 8B, in redacting personally identifying information (PII) from forum data in massive open online courses (MOOCs). Design/methodology/approach: Forum posts from students enrolled in nine MOOCs were redacted by three…

Objective: Define microbiological characteristics of pathogens causing lower urinary tract infections (LUTI), frequency of "Chlamydia trachomatis" (CT) or "Neisseria gonorrhea" (GC), and accuracy of self-diagnosis by college women with LUTI symptoms. Participants: Sexually active women with LUTI symptoms attending a large…

Academic misconduct and academic integrity are issues of importance to Higher Education Institutions (HEIs). Phraseologies and practices may conflate unintentional mistakes with attempts to gain illegitimate advantage, with some groups potentially at higher risk. HEIs across the United Kingdom (UK) responded to a Freedom of Information Act (FOI)…

Student's shift of attention away from a current learning task to task-unrelated thought, also called mind wandering, occurs about 30% of the time spent on education-related activities. Its frequent occurrence has a negative effect on learning outcomes across learning tasks. Automated detection of mind wandering might offer an opportunity to…

Requiring students to create weed collections is a common technique for teaching weed identification. Data compiled over 18 years from students' weed collections in a college-level course included over 350 species of plants. Almost half of the specimens belonged to the Asteraceae or Poaceae. The 30 most frequently collected species accounted for…

This study investigates how YouTube videos are advising university students to use ChatGPT, focusing on two main aspects: bypassing detection tools for AI-generated text in written assignments and leveraging ChatGPT as a study tool, using thematic analysis of transcripts from 173 YouTube videos. Videos promoting the bypass of AI-generated text…

The increasing use of learning management systems (LMSs) generates vast amounts of clickstream data, opening new avenues for predicting learner performance. Traditionally, LMS predictive analytics have relied on either supervised machine learning or Markov models to classify learners based on predicted learning outcomes. Machine learning excels at…

The aim of inclusive education is to provide a supportive space for students from every background. The theory of intersectionality suggests that multiple identities intersect within social spaces to construct specific positionalities. To support the heterogeneity of all students, there is a need to understand who is in our Science, Technology,…

This study aimed to investigate the predictive role of critical thinking dispositions and new media literacies on the ability to detect fake news on social media. The sample group of the study consisted of 157 university students. Sosu Critical Thinking Dispositions Scale, New Media Literacy Scale, and fake news detection task were employed to…

Courses: This single-class activity is designed for an intercultural communication class. It is suitable for any course that requires a discussion about identities. Objectives: This activity helps students enhance their understanding of the concept of identities. It allows students to comprehend multiple identity markers (e.g. race, gender, and…

Objective: This exploratory study examined campus attitudes toward vaccines to guide subsequent development of context-relevant interventions for increasing vaccine acceptance and uptake. Participants: We gathered ethnographic data on a convenience sample of campus community members (students, faculty, staff) at a public university over six weeks…

Learning style recognition is an indispensable part of achieving personalized learning in online learning systems. The traditional inventory method for learning style identification faces the limitations such as subject and static characteristics. Therefore, an automatic and reliable learning style recognition mechanism is designed in this…

Teaching Institutions could benefit from Early Warning Systems to identify at-risk students before learning difficulties affect the quality of their acquired knowledge. An Early Warning System can help preemptively identify learners at risk of dropping out by monitoring them and analyzing their traces to promptly react to them so they can continue…

In young adults and adolescents, dyslexia typically is characterized by slow or laborious reading. These reading difficulties are underpinned at least partly by a phonological deficit that disrupts cognitive connections between spoken and written language. Prosodic stress is a phonological property of spoken language reflecting differences in…

As the COVID-19 pandemic motivated a shift to virtual teaching, exams have increasingly moved online too. Detecting cheating through collusion is not easy when tech-savvy students take online exams at home and on their own devices. Such online at-home exams may tempt students to collude and share materials and answers. However, online exams'…