Generative AI presents significant opportunities for instructional designers to create content and personalize online learning environments. Alongside its benefits, generative AI also poses ethical considerations and potential risks, such as perpetuating biases or disrupting the learning process. Navigating these complexities requires an approach…

This paper reviews the role of Generative Artificial Intelligence (GenAI) in transforming the landscape of educational game design. The recent rise and development of GenAI have expanded its applications in creating dynamic and interactive game systems. This review explores the potential of GenAI to craft personalized educational game designs that…

Calls to increase active learning, an approach that positions students in the center of their learning experience, have increased considerably in recent decades. In response, there has been substantial work to expand our understanding and implementation of active learning approaches in many educational spaces. However, much of this instructional…

All advanced learners deserve a content-based curriculum that will challenge them to learn more deeply and more broadly, that will enable connections to different domains of learning, and that will raise questions about the world. This article examines the reasons for educators not providing curricula to accommodate advanced learners,…

Adult education instructors are as diverse as the students they teach. Their professional backgrounds, training, licenses, and modalities of teaching (online, in person, open vs. closed enrollment, etc.) vary widely, which can make the planning of meaningful, effective professional development challenging. Universal Design for Learning (UDL) is a…

When the traditional "one size fits all" approach is used in designing educational games, the game context is usually arranged in a fixed sequence. However, the designated content may not effectively support the diversity of players. The player's ability and characteristics should be considered and supported with an appropriate learning…

Intelligent tutoring systems (ITSs) aim to deliver personalized learning support to each learner, aligning with the educational aspiration of many countries, including China. ITSs' personalized support is mainly achieved by providing individual prompts to learners when they encounter difficulties in problem-solving. The guiding principles and…

Differentiated instruction is a teaching philosophy and practice that deals with responding appropriately to student heterogeneity. In order to gain deep understanding of this complex concept, research methodology is challenged to use appropriate data collection and data analysis. The aim of this paper is to reflect on how system theory may be…

Personalized education--the systematic adaptation of instruction to individual learners--has been a long-striven goal. We review research on personalized education that has been conducted in the laboratory, in the classroom, and in digital learning environments. Across all learning environments, we find that personalization is most successful when…

This report focuses on redesigning classrooms to facilitate teaching, alleviate problems, and promote good learning and healthy development. Primary concerns are to prevent and respond quickly to learning, behavior, and emotional problems and reengage students who have become disengaged from learning at school. A key facet of the redesign is…

This article explores the connections between creating an equitable classroom and antiracist assessment. The article attempts to explain the impact of the equitable classroom on student apathy. Additionally, rigid concepts of "failing" under this equitable classroom model are interrogated. Finally, the article provides some insights into…

Past research has yielded ample knowledge regarding the design of analytics-based tools for teachers and has found beneficial effects of several tools on teaching and learning. Yet there is relatively little knowledge regarding the design of tools that support teachers when a class of students uses AI-based tutoring software for self-paced…

This article proposes that educational personalization may be usefully understood from a process perspective. It defines educational personalization as that which occurs within any "planning or decision-making process" which runs for one student at a time, and uses "information from or about individual students," in order to…

Personal Learning Environment (PLE) represents a shift of learning paradigm towards learner-centered pedagogy, where users become masters of their own learning. PLEs are best used by learners with Self-Regulated Learning (SRL) abilities. Previous research showed that learners felt lost or socially isolated in PLEs due to their limited SRL…

In this thought experiment, we explore how to make access to individualized instruction and academic mentoring more equitable by taking tutoring to scale as a permanent feature of the U.S. public education system. We first synthesize the tutoring and mentoring literature and characterize the landscape of existing tutoring programs. We then outline…