Online training has become pivotal for teacher professional development, yet it faces challenges such as sentiment burnout and low learning achievement. To capture sentiment information non-invasively, this study employs a text-based sentiment analysis approach to examine the dynamic sentiment states of teacher-learners, thereby revealing the…

Purpose: The purpose of this study was to develop and apply machine learning methods that accommodate and leverage process heterogeneity when investigating mediation. We develop causal machine learning methods that relax assumptions of (indirect) effect homogeneity, accommodate high dimensional mediator sets, capture heterogeneous,…

This study assessed AI literacy among a group of preservice-teachers, and investigated the effectiveness of a suggested professional development program based on the Instructional Design Framework for AI literacy in developing pre-service teachers AI literacy skills. A quasi experimental approach with post-test pretest design was used for data…

The advances of machine learning (ML) in scientific discovery (SD) reveal exciting opportunities to utilize it as a cross-cutting tool for inquiry-based learning in K-12 STEM classrooms. There are, however, limited efforts on providing teachers with sufficient knowledge and skills to integrate ML into teaching. Our study addresses this gap by…

This qualitative case study aims to investigate the impact of a specially designed professional development course on three aspects: English language instructors' (1) knowledge, (2) skills, and (3) self-efficacy in integrating AI into their teaching. Cognitive apprenticeship and socio-constructivism set the theoretical foundations of this course.…

Recent developments in AI technology have the potential to affect science education. Understanding science teachers' perceptions of AI is essential for developing strategies that support effective and morally responsible integration of AI in science learning environments. This research focuses on science teachers' perceptions of AI in science…

Generative AI holds transformative potential for education but also introduces ethical and pedagogical complexities, thereby necessitating comprehensive teacher preparation. To investigate whether mindset-oriented professional development (PD), beyond tool-focused training alone, enhances teachers' responsible AI use, we conducted a mixed-method…

Background/Purpose: Traditional higher education models face disruption as AI democratizes knowledge access, yet current open education implementations predominantly replicate conventional approaches digitally, resulting in poor completion rates. This study proposes a reconceptualized learning framework leveraging AI capabilities while addressing…

Background/purpose: This study investigates the integration of artificial intelligence (AI) into primary education, with a focus on identifying the needs, benefits, and challenges that schools and educators encounter in the adoption process. Materials/methods: A descriptive-analytical approach was employed, utilizing data collected through a…

With the rapid development of artificial intelligence (AI), the demand for K-12 computer science (CS) education continues to grow. However, there has long been a lack of trained CS teachers. To promote the AI teaching competency of CS teachers, a professional development (PD) program based on the technological pedagogical content knowledge (TPACK)…

Recent advancements in artificial intelligence (AI) have led to a surge in AI-powered English language tutoring applications, with promising features integrated into teaching and learning. This article reports on a qualitative study of teachers' leveraging AI to support pedagogical outcomes for adult learners of English as an additional language…

As Artificial Intelligence within education becomes increasingly important, Digital Promise reviewed the guidance documents released by seven states--California, North Carolina, Ohio, Oregon, Virginia, Washington state, and West Virginia--on how to approach artificial intelligence (AI) in education. Throughout this report the authors summarize the…

This handbook provides a global overview of the design, implementation and assessment of academic development centers within higher education institutions. The current nature of our complex, rapidly changing world makes it imperative that colleges and universities worldwide find ways to educate their students in new and better ways: this is…