Promoting computational thinking (CT) through programming activities is crucial for cultivating talent in today's digital landscape. However, recent research have revealed that students often face significant CT challenges during actual programming tasks. While it is widely recognized that additional scaffolding should be provided to support…

Encouraging the idea of a growth mindset in which students believe that they can improve their ability, as opposed to a fixed mindset, has been suggested as an effective and relatively cheap approach to improving student attainment at school. This paper offers a comprehensive review of the evidence from growth mindset interventions. After a…

Background: Schools are responsible for supporting student growth. Various factors impact how students develop at school (Visscher, 2017), but the teacher is most proximal to students. Teachers' decisions inform students' opportunity to learn, engagement, and achievement (Backes et al., 2024; Bergold & Steinmayr, 2023; Chetty et al., 2011; Nye…

Educational inequality and mathematics achievement have been long-term concerns in England. However, most studies of inequalities focus on achievement across multiple-subjects, and studies of mathematics achievement gaps tend to look at a single test in a single year. This study provides an overview of mathematics achievement gaps in the last 13…

Peer tutoring has become a widely used practice in higher education institutions to support students' academic success, although its effects remain controversial. This article synthesizes 27 independent experimental and quasi-experimental studies to examine the relationship between peer tutoring programs and college students' academic performance,…

Flipped classrooms (FCs) in K-12 schools are growing in popularity. However, previous studies have reported inconsistent findings on the effects of FCs, and the conditions under which FCs are effective remain unclear. This three-level meta-analysis synthesized the effects of FCs versus traditional classrooms (TCs) on various learning domains among…

Artificial intelligence in education (AIED) applications have emerged as a promising solution to address the unique educational challenges faced by students with autism spectrum disorder (ASD). However, there is a lack of comprehensive meta-analyses examining the effectiveness of AIED applications on ASD students' academic achievement and the…

Background: ChatGPT, a generative artificial intelligence (GenAI) chatbot, has gained significant traction as a tool for supporting students learning. Despite its growing popularity, there is still no academic consensus on its effectiveness in enhancing students' academic achievement. Objectives: This study aims to explore the effect of ChatGPT on…

Students with intellectual disability have encountered challenges related to inclusive placement, spending less time in general education classrooms, and experiencing slower progress in accessing inclusive settings. To support their needs and success in inclusive classrooms, research-based and effective interventions should be provided. We…

Background/Context: Theoretical and policy frameworks consistently assert that warm, responsive, and cognitively rich teacher-child interactions are crucial for infants' and toddlers' learning and development (Burchinal, 2018; Pianta & Hamre, 2009). In Early Head Start (EHS), such "process quality" is expected to bolster children's…

Background: With the growing emphasis on computer science (CS) education in K-12 schools, numerous professional development (PD) programs for in-service CS teachers (CS-PD) have been implemented over the past decades. However, there is a lack of systematic review and meta-analysis to evaluate the effectiveness of these CS-PD programs. To address…

The popularity of generative AI chatbots, such as ChatGPT, has sparked numerous studies investigating their use in educational contexts. However, it is important to note that chatbots are not a new phenomenon; researchers have explored conversational agents across diverse fields for decades. Conversational agents engage users in natural language…

Children who engage in aggressive behaviors are at heightened risk of being involved in the justice system, committing serious offenses, and becoming chronic offenders. The Stop Now And Plan (SNAP) program was designed as an early intervention to address several mechanisms underlying the development of conduct problems, including emotion…

The goal of this meta-analysis was to calculate the effect sizes of computer-assisted word reading interventions (in terms of reading skill level training, supplemental alphabet knowledge, fluency, and remedial reading) on different reading-related outcomes (i.e., letter knowledge, phonemic awareness, word reading and pseudoword decoding, sentence…

This study explores the development and evaluation of a digital learning ecosystem through metaverse experiences aimed at enhancing the competencies of modern digital entrepreneurs. The objectives were as follows: (1) to study the digital learning ecosystem through metaverse experiences, (2) to design and develop a digital learning ecosystem using…