Recent advances in laboratory automation and digitization require a teaching strategy for undergraduate students that is inclusive of skills in these areas so that students can be prepared to work within the modern laboratory. Future scientists will need training in coding, microcontrollers, on-demand manufacturing, and robotics. With this in…

Educational technology innovations leveraging large language models (LLMs) have shown the potential to automate the laborious process of generating and analysing textual content. While various innovations have been developed to automate a range of educational tasks (eg, question generation, feedback provision, and essay grading), there are…

The purpose of this study is to introduce and evaluate a method for generating reading comprehension items using template-based automatic item generation. To begin, we describe a new model for generating reading comprehension items called the text analysis cognitive model assessing inferential skills across different reading passages. Next, the…

Purpose: Chatbots and artificial intelligence (AI) have the potential to alleviate some of the challenges faced by humans. Faculties frequently swamped with teaching and research may find it difficult to act in a parental role for students by offering them individualized advice. Hence, the primary purpose of this study is to review the literature…

Generative artificial intelligence (AI) is widely recognized as one of the most influential technologies for the future, having sparked a paradigm shift in scientific research. The field of education has also been greatly impacted by this transformative technology, with researchers exploring the applications of generative AI, particularly ChatGPT,…

Although automated item generation has gained a considerable amount of attention in a variety of fields, it is still a relatively new technology in ELT contexts. Therefore, the present article aims to provide an accessible introduction to this powerful resource for language teachers based on a review of the available research. Particularly, it…

Reflective practice holds critical importance, for example, in higher education and teacher education, yet promoting students' reflective skills has been a persistent challenge. The emergence of revolutionary artificial intelligence technologies, notably in machine learning and large language models, heralds potential breakthroughs in this domain.…

Background: Despite the usefulness of systematic reviews and meta-analyses, they are time-consuming and labor-intensive (Michelson & Reuter, 2019). The technological advancements in recent years have led to the development of tools aimed at streamlining the processes of systematic reviews and meta-analyses. Innovations such as Paperfetcher…

An interactive textbook for a material and energy balances course measured over 1,300 reading interactions and hundreds of auto-graded problems per student each term. Specifically, seven cohorts and 601 students completed over 700,000 reading interactions and 150,000 auto-graded problems. Median reading participation was over 93%. Median correct…

Background: The recent advent of powerful, exam-passing large language models (LLMs) in public awareness has led to concerns over students cheating, but has also given rise to calls for including or even focusing education on LLMs. There is a perceived urgency to react immediately, as well as claims that AI-based reforms of education will lead to…

This paper critically examines the transformative potential of Artificial Intelligence (AI) in Zimbabwe's higher education system, focusing on how AI can enhance learning outcomes and optimize administrative processes. The study employs a qualitative research approach, gathering insights from key stakeholders in the educational sector to identify…

This book studies and resolves the challenge of bridging the gap between higher education and the labor market arising from the Fourth Industrial Revolution. It unfolds and elucidates the understudied and previously unknown social nature of Industry 4.0, characterized by workers' dashed expectations regarding automation. Consequently, the book…

Radioanatomy, short for radiographic anatomy, is the study of anatomy through medical imaging. Its early-stage introduction into medical curricula has been recommended in the literature. As with many other medical courses, it has seen a shift toward blended learning, including assessment on learning management systems such as Moodle, one advantage…

This guide aims to make corpus building and corpus analysis feasible and practical for language instructors and/or researchers who may view building a corpus as difficult or believe that linguistic analysis requires advanced programming skills. Many avoid creating custom corpora due to these perceived barriers, instead relying on existing corpora…

Automated speaking assessment (ASA) of second language proficiency benefits both learners and educators. However, developing these systems for less commonly taught languages like Finnish and Finland Swedish is hindered by the need for large datasets with equal representation of all proficiency levels. Traditional machine learning algorithms used…