Machine learning (ML) techniques have been successfully applied to a wide array of applications. This dissertation aims to take application data handling into account when developing ML-based solutions for real-world problems through a holistic framework. To demonstrate the generality of our framework, we consider two real-world applications: spam…

Purpose: The present study aims to undertake an extensive review of scholarly literature by exploring the intersection of the metaverse and education. Design/methodology/approach: The researchers used the relevant documents from the Scopus database to conduct bibliometric analysis. The data were retrieved from 2010 to February 2024. Citation,…

Media literacy empowers students to critically analyze, evaluate, and create media, becoming informed and responsible digital citizens. This Spotlight will help readers guide students when navigating questionable mental health advice; provide readers with strategies to spot AI manipulation; identify how to help bilingual students be media literate…

Background: Computer programming learning and education play a critical role in preparing a workforce equipped with the necessary skills for diverse fields. ChatGPT and YouTube are technologies that support self-directed programming learning. Objectives: This study aims to examine the sentiments and primary topics discussed in YouTube comments…

ChatGPT has surprised academia with its remarkable abilities but also raised substantial concerns regarding academic integrity and misconduct. Despite the debate, empirical research exploring the issue is limited. The purpose of this study is to bridge this gap by analyzing Twitter data to understand how academia is perceiving ChatGPT. A total of…

Cyberbullying has become increasingly prevalent, particularly on social media. There has also been a steady rise in cyberbullying research across a range of disciplines. Much of the empirical work from computer science has focused on developing machine learning models for cyberbullying detection. Whereas machine learning cyberbullying detection…

A negative consequence of the proliferation of social media is the increase in online abuse. Bullying, once restricted to the playground, has found a new home on social media. Online social networks on their part have intensified efforts to tackle online abuse, but unfortunately, such is the scale of the problem that many young people are still…

This study investigates community sentiments and opinions regarding the use of ChatGPT in education within online user forums. Large Language Model (LLM)-based sentiment analysis was conducted on the posts and comments submitted to Teachers Subreddit, an online community for educators. The analysis revealed that the members of Teachers Subreddit…

In today's world, technology is ubiquitous and rapidly evolving. As it evolves and new challenges emerge, educators will be tasked with teaching students about healthy and responsible management of their online lives. From late December 2023 to early January 2024, the EdWeek Research Center conducted a survey of teachers, school leaders, and…

The intersection of technology and social and emotional issues for kids is getting much busier. Students are now using social media sites like TikTok to diagnose themselves with anxiety and other mental health challenges. Counselors and teachers see more kids spend countless hours on social media--and then hear them complain they feel exhausted…

The contexts of social and political polarization are generating new forms of communication that affect the digital public sphere. In these environments, different social and political actors contribute to extreme their positions, using bots to create spaces for social distancing where hate speech and incivility have a place, a phenomenon that…

Bullying literature notes that aside from the dyadic relationship of target and perpetrator, there are other participant roles in the bullying process including those that reinforce the perpetrator and those that stand up for the target. Most examinations of bullying roles have relied on self-reported data, which suffer from key limitations such…

In the COVID-19 era, "Yellowdig" (an online discussion board with social media-like features) has increasingly risen to prominence in higher education. Reflecting on a multi-year experiment involving 14 international business and marketing courses, I argue that Yellowdig remains a valuable tool for learning even after returning to…

The emergence of generative artificial intelligence (GenAI) has ignited debates regarding its potential benefits and detriments for education. Despite widespread discussions, insights into GenAI's impact on education have been limited because early studies have often been narrow in scope and focused on specific contexts. Therefore, the purpose of…

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…