Generative artificial intelligence (AI) can create sophisticated textual and multimodal content readily available to students. Writing intensive courses and disciplines that use writing as a major form of assessment are significantly impacted by advancements in generative AI, as the technology has the potential to revolutionize how students write…

Artificial Intelligence (AI) transforms the classroom experience by enhancing instruction and helping students build essential skills for the modern world. Teachers use AI tools to personalize learning, adapt lessons in real time, and automate administrative tasks, allowing more time to focus on student engagement. AI supports students in…

AI revolutionizes education and transforms learning strategies catered to students' personal needs. Through adaptive learning algorithms and intelligent tutoring systems, AI enhances the educational experience by customizing content and increasing the speed at which each student can learn based on their individual strengths and challenges. This…

Pew Research Center conducted this study to understand how parents of kids ages 12 and younger approach their children's technology use and screen time. For this analysis, 3,054 parents who have children ages 12 and under were surveyed from May 13 to 26, 2025. The sample for this survey includes respondents from two different sources--Pew Research…

Large language models (LLMs) offer an opportunity to make large-scale changes to educational content that would otherwise be too costly to implement. The work here highlights how LLMs (in particular GPT-4) can be prompted to revise educational math content ready for large scale deployment in real-world learning environments. We tested the ability…

Summarization enhances comprehension and is considered an effective strategy to promote and enhance learning and deep understanding of texts. However, summarization is seldom implemented by teachers in classrooms because the manual evaluation requires a lot of effort and time. Although the need for automated support is stringent, there are only a…

Students learning a new language are aided by the use of a voice assistant when practicing speech, as it allows them to intensify their independent studies and master the elementary level of a foreign language. Moreover, the didactic potential of the Russian voice assistant "Alice" has hardly been studied in the context of teaching a…

Techniques from the branch of artificial intelligence known as machine learning (ML) have been applied to a wide range of problems in chemistry. Nonetheless, there are very few examples of pedagogical activities to introduce ML to chemistry students in the chemistry education literature. Here we report a computational activity that introduces…

In exploratory factor analysis, although the researchers decide which items belong to which factors by considering statistical results, the decisions taken sometimes can be subjective in case of having items with similar factor loadings and complex factor structures. The aim of this study was to examine the validity of classifying items into…

When digital assistants are used to process search queries, generate driving directions, or answer voice commands, advanced technologies gather available data and use this information to perform tasks that require decision making and problem solving. These examples of machine learning have become commonplace in our everyday lives. Machine learning…

Teaching and Learning confined to within the four walls of a classroom or even online Learning through Massive Online Courses (MOOCs) and other Learning Content Management Systems (LCMS) are no longer seen as the optimal approach for competency and skills development, especially for working professionals. Each of these busy learners have their own…

Artificial intelligence (AI) is impacting education in many different ways. From virtual assistants for personalized education, to student or teacher tracking systems, the potential benefits of AI for education often come with a discussion of its impact on privacy and well-being. At the same time, the social transformation brought about by AI…

This AERA Open special topic concerns the large emerging research area of education data science (EDS). In a narrow sense, EDS applies statistics and computational techniques to educational phenomena and questions. In a broader sense, it is an umbrella for a fleet of new computational techniques being used to identify new forms of data, measures,…

Progress monitoring is used to assess a student's performance during the early stages of literacy development. Computerized progress monitoring systems are capable of scoring some progress monitoring measures automatically. However, other measures, such as those involving writing or sign language, are typically scored manually, which is…

Purpose: Children suffering from cancer or cardiovascular disease, who need extended periods of treatment in hospitals, are subjected to multiple hardships apart from the physical implications, for example, experienced isolation and disrupted social and academic development. This has negative effects long after the child's recovery from the…