AI's opportunities and potential high-risk consequences for individuals and societies render mass AI literacy imperative. MOOCs are one effective conduit for its provision. However, MOOCs remain epistemologically one-sided when lifelong learning steadily shifts towards a reflexive epistemology whereby subjectivities and expert knowledge intersect,…

The purpose of this study is to analyze in depth the relevance of Vygotsky's constructivism learning theory in differentiated learning in elementary schools. Differentiated learning is an effort to adapt the learning process in the classroom to meet the learning needs of each individual. This adjustment is made by considering the interests,…

Information technology contributes to the transformation of the learning process because it changes the traditional system of teaching, based on outdated methodologies. The paper examined the current technologies used in music education in the context of learning process improvements in China. A sociological survey was conducted using the Stapel…

To better align teacher learning with teachers' learning needs, teachers' sense-making of an innovation during which teachers experimented with differentiated instruction was studied during two school years. Using answers to a questionnaire, 15 teachers' sense-making processes were characterised by three types of search for meaning: assimilation,…

For many centuries, intergenerational literacy learning outside formal educational institutions has been an important part of everyday family life in Nepal. Yet, educational policy continues to focus on promoting 'schooled' approaches to literacy for both adults and children, overlooking informal learning and indigenous literacy practices in many…

In recent times, there has been a growing interest in enhancing recommendation systems for e-learning platforms to deliver a personalised learning experience that meets each learner's distinct requirements and preferences. Nevertheless, it is crucial to recognise the ethical considerations surrounding this technology, as it heavily relies on…

Gifted learners are usually identified as students who show higher levels of aptitude or competence compared to their peers of the same age. Their advanced abilities often require specially designed educational strategies to meet their intellectual needs. By designing educational strategies that are appropriately challenging and intellectually…

This book provides a critical overview of the current use of learning technologies for educational innovation and examines global trends in educational innovation. It also shares experiences in educational innovation with learning technologies in Europe and Latin America. Despite increasing concerns about the use of technology in education, this…

Massive open online courses (MOOCs; online courses delivered over the Internet) enable distance learning without time and place constraints. MOOCs are popular; however, active participation level among students who take MOOCs is generally lower than that among students who take in-person courses. Students who take MOOCs often lack guidance, and…

This studied focus on the relationship between transhumanist and artificial intelligence in the Education Context; Particularly Teaching and Learning Process at private university in Makassar, South Sulawesi, Indonesia. Anchored by a qualitative analysis and participated by five teachers, the data were analyzed in-depth interview. It was designed…

The application of the metaverse provides a new perspective for educational innovation and talent training in the new century. By creating multi-channel perceptions such as sight, hearing, and touch through the VR/AR/MR immersive environment, the study found that learners' emotional engagement and cognitive level can be effectively improved in the…

One of the major objectives of precision education is to improve prediction of educational outcome. This study combined theory-driven and data-driven approaches to address the limitations of current practice of predicting learning outcomes only using a single approach. The study identified the online learning patterns by using students'…

This paper aims to illustrate an automated system developed to give formative and personalized feedback to teachers in training. It is an expert system (Paviotti, Rossi & Zarka, 2012) that uses concrete examples, cases and scenarios to guide the engaged learners (Leake, 1996). In this regard, this system is able to create questionnaires,…

This study aims to produce a more personalized recommendation system for online learning using multicriteria in collaborative filtering and data from the Binus Online Learning repository as a knowledge base. The study uses forecasting (regression) and consists of three stages: (1) collecting data on the results of the learning process; (2) adding…

The use of Artificial Intelligence (AI) in education is rapidly gaining traction as research in technology has produced a growing number of cutting-edge applications. Indeed, the latest possibilities presented by AI require innovative and alternative methodological approaches to be integrated into the learning process. Within the educational…