As artificial intelligence (AI) increasingly integrates into various industries and educational sectors, there is a growing need for an AI-ready workforce. This study, focusing on a novel AI additional qualification in Germany, investigates the underexplored challenges and best practices regarding the learning software, the learning contents, and…

Online education, while not a new phenomenon, underwent a monumental shift during the COVID-19 pandemic, pushing educators and students alike into the uncharted waters of full-time digital learning. With this shift came renewed concerns about the integrity of online assessments. Amidst a landscape rapidly being reshaped by online exam/homework…

The rapid advancement of Artificial intelligence (AI) technologies has made new opportunities available in language education. This qualitative study investigates using generative AI tools by university English as a Foreign Language (EFL) students to create podcasts for language learning. The research was based on 80 undergraduate students who…

This study aimed at probing Egyptian and Saudi English as a Foreign Language (EFL) majors' perceptions of the impact of AI technology on enhancing linguistic competence and predicting the level of linguistic competence development due to the utilisation of AI. The descriptive survey method was used to accomplish the purpose of the study. A 27-item…

Artificial Intelligence (AI) in general poses numerous challenges for educators and students alike, such as academic integrity, lack of knowledge and training, misinformation, and implementation costs. However, AI also presents opportunities to support equity and access, increased efficiency, new understandings of (and urgency around) digital…

Talladega County Schools (TCBOE) spans 760 square miles and serves about 7,000 learners, 71 percent of whom receive free and reduced-priced meals. It also is a member of the League of Innovative Schools, a network of forward-looking school districts that have declared their commitment to improving and advancing equitable outcomes for students…

The use of educational technologies in English language teaching (ELT) has become widely accepted in the post-pandemic era, and, for better or worse, some of these technologies rely on artificial intelligence (AI). As an area of technological growth and increasing financial investment, we are likely to see more AI-driven technologies in teaching…

Recent developments in natural language processing have led to the creation of large language models, such as ChatGPT, which could generate human-like text. In this paper, we explore the potential implications of ChatGPT for language learning in higher education. We first provide an overview of ChatGPT and discuss its capabilities and limitations.…

Research on Artificial Intelligence, especially in the field of machine learning, has exploded in the twenty-first century. AI research in universities has long been funded by a combination of government and corporate sources. The funding of AI research in the contemporary university includes technology companies as both funders and generators of…

Pedagogical agents have been designed to support the significant challenges that learners face when self-regulating in advanced learning environments. Evidence suggests differences in learners' prior skills and abilities, in conjunction with excessive didactic support, can cause overreliance on these external aids, which in turn prevents deeper…

Aim/Purpose: The main purpose is to study the experience of using virtual team building as a means of forming educational and research teams in the context of the development of online education and its effect among students and teachers of higher educational institutions. Background: Methods ensuring effective engagement of students in learning…

Student evaluation of teaching (SET) surveys are the most widely used tool for collecting higher education student feedback to inform academic quality improvement, promotion and recruitment processes. Malicious and abusive student comments in SET surveys have the potential to harm the wellbeing and career prospects of academics. Despite much…

This study analyzed the post-high school outcomes of exited high-school students with intellectual disability and autism spectrum disorder from a southwestern U.S. state. A predictive analytics approach was used to analyze these students' post-high school outcomes data, which every state is required to collect each year under U.S.…

As a cutting-edge field of artificial intelligence in education (AIEd) that depends on advanced computing technologies, AI performance prediction model is widely used to identify at-risk students that tend to fail, establish student-centered learning pathways, and optimize instructional design and development. A majority of the existing AI…

Capturing evidence for dynamic changes in self-regulated learning (SRL) behaviours resulting from interventions is challenging for researchers. In the current study, we identified students who were likely to do poorly in a biology course and those who were likely to do well. Then, we randomly assigned a portion of the students predicted to perform…