Intersection of education and deep learning method of artificial intelligence (AI) is gradually becoming a hot research field. Education will be profoundly transformed by AI. The purpose of this review is to help education practitioners understand the research frontiers and directions of AI applications in education. This paper reviews the…

The current meta-analysis investigates the longitudinal association between prior and subsequent mathematics performance, involving mathematics measured at three time points, and to identify potential factors that could moderate this association, including age, time lag, and types of mathematics. Our analysis included 105 studies, comprising 111…

Introduction: The science, technology, engineering, arts and mathematics (STEAM) approach is currently representing a new teaching and learning process, trying to make an interconnection between these disciplines and their transversalization with the arts to potentiate the thematic scope in students and create new pedagogical and didactic…

This study aims to develop a comprehensive competency framework for artificial intelligence (AI) literacy, delineating essential competencies and sub-competencies. This framework and its potential variations, tailored to different learner groups (by educational level and discipline), can serve as a crucial reference for designing and implementing…

This study was conducted to meta-analytically investigate the influence of teaching vs. no teaching expectancy on the learning effects of teaching after preparatory learning. A meta-analysis of 39 studies revealed that a weighted mean effect size for the effect of teaching after studying with or without teaching expectancy vs. merely studying…

Process oriented guided inquiry learning (POGIL), is a group-learning method that contributes to the active participation of learners in learning/teaching environments. However, a standard process for using the POGIL in classes is not available. In addition, no systematic reviews using bibliometric analysis in the literature examine the studies…

Prediction error plays a pivotal role in theories of learning, including theories of language acquisition and use. Researchers have investigated whether and under which conditions children, like adults, use prediction to facilitate language comprehension at different levels of linguistic representation. However, many aspects of the reciprocal…

We implemented a systematic literature review to investigate the trends and issues of learning analytics in seamless learning environments. We collected and analyzed a total of 27 empirical journal articles that study and discuss learning analytics design and implementation in seamless learning environments. In a recent decade, researchers have…

Accurately monitoring one's learning processes during self-regulated learning depends on using the right cues, one of which could be perceived mental effort. A meta-analysis by Baars et al. (2020) found a negative association between mental effort and monitoring judgments (r = -0.35), suggesting that the amount of mental effort experienced during…

The concepts and implementation of flipped education have been prevailing globally. However, most studies focus on learning performance with few analyses on moderator variables. The study conducted a meta-analysis to analyze 39 studies published over the 2012--2018 period. Among the 39 studies involving 4662 participants, 33 of the studies…

Purpose: Play and playful literacies shape essential spaces for belonging, connection, transformation and joy: from embodied immersions into fantasy worlds, to the creation of interest-led groups overflowing with varied knowledges and identities, and the disruption of societal hierarchies through roleplayed restorying. Yet, theorizations…

Blended learning has enjoyed wide acceptance as a teaching and learning approach in higher education, but its use and understanding commonly fail to extend across all levels of blending. At the institutional level, challenges still exist in aligning a blended learning approach with core university priorities. Often, there is a focus on the…

Given the array of generations in the workplace and the variety of learning theories and technological exposure across those generations, many instructional design professionals argue that training should be tailored to these differences. We were skeptical of this assertion and sought to explore evidence for improved effectiveness in tailoring…

The use of artificial intelligence in education (AIEd) has grown exponentially in the last decade, particularly intelligent tutoring systems (ITSs). Despite the increased use of ITSs and their promise to improve learning, their real educational value remains unclear. This systematic review aims to identify the effects of ITSs on K-12 students'…

Purpose: The purpose of this systematic literature review is to identify the antecedents that have enabled the adoption of artificial intelligence (AI) in Higher Education (HE) institutions at both a macro and micro level. The term adoption is in reference to the diffusion of technology that is actively chosen for use by the targeted demographic.…