The landscape of writing is evolving in the era of generative AI. James Paul Gee introduces the concept of "cybersapien writing literacy," which emphasizes a synergistic partnership between humans and AI. He outlines four essential types of writing and discusses their potential benefits for personal growth, critical thinking, and…

In this discussion, we consider how the use of scenario-based assessment (SBA) can provide students with a way of developing the digital communication skills that business communication research has found they will need for the workplace, alongside other aspects of professional competence. This is because SBA can be employed to engage learners in…

This essay explores the nuanced impact of generative AI technologies on management and business education, framed through three paradoxes: the "Expertise Paradox" suggests that AI's adequate performance at lower-level tasks may weaken students' development of higher-level thinking; the "Innovation Paradox" states that AI's…

Students with and without disabilities consistently fail to meet established writing benchmarks, highlighting the urgent need for intervention and innovation in this critical area. According to the National Assessment of Educational Progress (NAEP), key criteria for assessing writing include the development of ideas, organization of ideas, and…

The Digital Education Accelerator supported 21 digital education solutions over three years, providing structured guidance, expert mentorship, testing, showcasing, and validation opportunities. As part of the European Digital Education Hub, the programme aimed to foster innovation by helping teams refine their solutions, scale their impact, and…

This article offers a semester-long approach to using generative AI in the public-speaking course. Using critical communication pedagogy, the authors provide practices to navigate the turbulence that has followed the emergence of publicly available generative AI tools. These tools have received negative attention because of their potential to…

The scope and versatile nature of engineering and technology education as a discipline provide a platform for the integration of computational thinking (CT) into STEM education, accomplishing the goal of bringing not only computer science principles into the K-12 education but also the fundamentals of machine learning (ML) and artificial…

The emergence of online learning has sparked increased interest in predicting learners' academic performance to enhance teaching effectiveness and personalized learning. In this context, we propose a complex model APPMLT-CBT which aims to predict learners' performance in online learning settings. This systemic model integrates cognitive, social,…

This article provides an in-depth look at how K-12 students should be introduced to Machine Learning and the knowledge and skills they will develop as a result. We begin with an overview of the AI4K12 Initiative, which is developing national guidelines for teaching AI in K-12, and briefly discuss each of the "Five Big Ideas in AI" that…

Fueled by exponential advances in technology, the world will change more in the next few decades than in all of human history, futurist Thomas Frey says. Community college leaders will have to think beyond traditional structures such as semester-length courses and two-year degree programs, designing micro-learning experiences that better match…

This paper reports on progress in the development of a teaching module on machine learning with decision trees for secondary-school students, in which students use survey data about media use to predict who plays online games frequently. This context is familiar to students and provides a link between school and everyday experience. In this…

The Organization for Economic Co-operation and Development (OECD) estimated that approximately 9% of current jobs within OECD member states are threatened with automation and digitalization--all significant successes and advances in artificial intelligence, robotics, and computer science. With such global changes and forecasts, in the labor…

The ideas behind the constraint-based modeling (CBM) approach to the design of intelligent tutoring systems (ITSs) grew out of attempts in the 1980's to clarify how declarative and procedural knowledge interact during skill acquisition. The learning theory that underpins CBM was based on two conceptual innovations. The first innovation was to…

Just as a compass orients a traveller, the OECD Learning Compass 2030 indicates the knowledge, skills, attitudes, and values students need not just to weather the changes in our environment and in our daily lives, but to help shape the future. The Learning Compass 2030 is composed of seven elements: (1) core foundations; (2) transformative…

Artificial intelligence has produced new teaching and learning solutions that are now undergoing testing in different contexts. In addition to its impact on the education sector, AI is substantially altering labour markets, industrial services, agriculture processes, value chains and the organization of workplaces in particular. Technical and…