Artificial intelligence (AI) has become an important force in many fields, including education. Using Artificial Intelligence in classrooms can improve learning, make education more personal, and help teachers in their work. AI can change education by offering personalized learning, making assessments easier, and supporting teachers. It can also…

The purpose of this ex post facto quantitative study was to examine the correlation between the scores of preservice teachers on 240 Tutoring STR practice tests and their scores on the actual STR exam and to explore the extent to which test preparation programs predicted performance on certification exams. In addition, this study compared the…

This paper presents a comprehensive analysis of the major themes in Natural Language Processing (NLP) applications for personalized learning, derived from a Latent Dirichlet Allocation (LDA) examination of top educational technology journals from 2014 to 2023. Our methodology involved collecting a corpus of relevant journal articles, applying LDA…

The rapid development of generative artificial intelligence (GenAI), including large language models (LLM), has merged to support students in their academic writing process. Keeping pace with the technical and educational landscape requires careful consideration of the opportunities and challenges that GenAI-assisted systems create within…

The "IDRA Newsletter" serves as a vehicle for communication with educators, school board members, decision-makers, parents, and the general public concerning the educational needs of all children across the United States. The focus of this issue is "Legacies Shaping Public Education." Contents include: (1) Valuable from the…

Artificial Intelligence (AI) is profoundly reshaping higher education by introducing innovative tools and systems that enhance learning outcomes, streamline administrative processes, and address global educational challenges. This white paper examines AI's transformative impact on higher education, drawing on a comprehensive analysis of empirical…

Educator attention is critical for student success, yet how educators distribute their attention across students remains poorly understood due to data and methodological constraints. This study presents the first large-scale computational analysis of educator attention patterns, leveraging over 1 million educator utterances from virtual group…

This mixed-methods study explores the experiences and perceptions of primary school students of fee-charging private supplementary tutoring (PST) in Uzbekistan. The data were collected from five mainstream schools, using a close-ended questionnaire and two participatory methods -- group interviews and drawings. The study found that 574 out of 1024…

A longstanding criticism of traditional high-stakes writing assessments is their use of static prompts in which test takers compose a single text in response to a prompt. These static prompts do not allow measurement of the writing process. This paper describes the development and validation of an innovative interactive writing task. After the…

Multicultural education (ME) is an emerging concept to fulfil society's demands to perform effectively in culturally diverse environments. Students in remote areas have little opportunity to be engaged in ME due to geographical barriers and the COVID-19 effects. This study proposed a Digital Cultural Exchange course in Taiwan where remote students…

The article is devoted to problems of implementation in practice of the University of technology tutor support, which would allow modern students to quickly and painlessly build an individual trajectory of personal and professional development, and University -- to implement the requirements of standard of the last generation. The article is based…

This paper examines how tutor-practitioners conceptualised and enacted their practice-based knowing (PBK) in a Higher Education Fashion School (HEFS). It adopts a qualitative insider-researcher methodology composed of oral biographies, dialogic interviews and participant observations. Social practice theory (SPT) is utilised as the analytical…

The use of conversational agents in computer-supported collaborative learning (CSCL) has been identified as a useful tactic for motivational intervention. The purpose of the current study was to design and implement a conversational agent called a motivational online conversational agent (MOCA) that incorporated motivational interviewing (MI) and…

Intelligent tutoring systems have become increasingly common in assisting students but are often aimed at isolated subject-domain tasks without creating a scaffolding system from lower- to higher-level cognitive skills, with low-level skills often neglected. We designed and developed an intelligent tutoring system, CompPrehension, which aims to…

Bayesian Knowledge Tracing, a model used for cognitive mastery estimation, has been a hallmark of adaptive learning research and an integral component of deployed intelligent tutoring systems (ITS). In this paper, we provide a brief history of knowledge tracing model research and introduce pyBKT, an accessible and computationally efficient library…