Abstract Over the last few years, machine learning has revolutionized countless areas and fields. Nowadays, AI bears promise for analyzing, extracting knowledge, driving discovery across many scientific domains such as chemistry, biology, genomics. However, specific challenges posed by data demand to adapt techniques new requirements. We investigate learning-driven analysis, focusing on a set o...

In the 2013 curriculum, elementary schools are carried out with integrated thematic learning. This study aims to analyze learning activities of grade III. The research uses qualitative methods a phenomenological approach. informant was one III teacher. subjects in this were 19 students. Data collected at SD Negeri 2 Soborejo using interviews, observations, and documentation. data validity techn...

Educational games have to be well designed to incorporate learner engagement, an integral component of educational effectiveness. One foundation of designing educational engagement is flow theory. This article presents a flow framework that describes the building blocks of flow experience that can be used to design appealing and effective educational games for formal and informal learning conte...

In this paper, we describe a conceptual framework and address the related issues and solutions in the identification of three major challenges for the development and evaluation of Immersive Digital Educational Games (IDEGs). These challenges are (i) advancing adaptive educational technologies to shape learning experience, ensuring the individualization of learning experiences, adaptation to pe...