'Motionese' can be defined as an exaggerated and repetitive action. It induces preference and learning in infants. However, which action component of motionese promotes infants' preference and learning remains largely unknown. In this study, we focused on inefficiency and toward-ness of action. Our study demonstrates that observing an inefficient…

In the realm of e-learning, supporting personalized learning effectively necessitates recommending sequences of learning items that maximize learning efficiency while minimizing cognitive load, all tailored to the learner's goals. These recommendations must account for the prerequisite relationships among learning items and the learner's…

Being efficient learners is important in the modern workforce, but improved performance and cognitive load do not imply that students are efficient learners. This study investigated the effectiveness of a personalized role-playing game in students' learning efficiency (LE) and mental efficiency. Results showed that students in the personalized…

The continuous improvement (CI) approach to systems change has rapidly spread across education policy circles in recent years and has been hailed as a promising means to achieve educational equity and social justice. CI's highly routinized, scientific process for improving efficiency and productivity is a somewhat unexpected means to pursue…

Educators and researchers have analyzed various image data acquired from teaching and learning, such as images of learning materials, classroom dynamics, students' drawings, etc. However, this approach is labour-intensive and time-consuming, limiting its scalability and efficiency. The recent development in the Visual Question Answering (VQA)…

Entrepreneurship education is critical in encouraging students' innovation, creativity, and entrepreneurial spirit. It provides essential skills and knowledge, enabling them to open their creative potential and apply innovative thinking across diverse professional fields. With the widespread application of large language models in education,…

This study investigates the multifaceted impact of generative AI tools (e.g., ChatGPT, Gemini) on higher education. Employing grounded theory, we analyzed the experiences of eight students using these tools in their academic work. Our findings reveal both significant benefits, including enhanced learning, efficiency, and accessibility, and…

Identification of key factors affecting the self-directed learning process in the virtual environment of medical education is vital. In this article, we designed a model that describes the self-directed learning process in the virtual learning environment for post graduate students of medical sciences in Iran. This study was carried out in two…

This qualitative study investigates the integration of Artificial Intelligence (AI) to support students' independent learning within a flipped classroom (FC) pedagogy. The main challenge of FC has been students' insufficient preparation for classroom activities. To address the challenge the Essentials of Business Law course was implemented with FC…

Background: With the increasing interdisciplinarity between computer science (CS) and other fields, a growing number of non-CS students are embracing programming. However, there is a gap in research concerning differences in programming learning between CS and non-CS students. Previous studies predominantly relied on outcome-based assessments,…

This paper presents the use of the time-on-task analysis (TOTA) diagnostic model as an instrument to improve the efficient management of allocated academic time in schools and focuses on the descriptive analytics produced by the TOTA model. The model aims to analyse how time is spent during the school day to enable school leaders, managers, and…

This paper offers a literature synthesis on the role of artificial intelligence (AI) as a strategic policy instrument in tackling the challenges of Teaching and Learning (TL) within the Ghanaian educational context. By examining the current state and prospects of AI in education (AIEd), specifically in Ghana, this study highlights how AI can…

Recognizing the limitations of the existing frameworks and models applied to estimate the learning loss caused by COVID-19 across the world by different studies, and the urgent need for estimating such loss at the different education levels, this paper, employs the Education Value Chain Analysis ( EVCA) approach as a new paradigm, attempts to…