A meta-analytic study was conducted of the "Unified Theory of Acceptance and Use of Technology" to understand higher education instructors use of technology in teaching and learning. Through broad searches of the years 2003-2023, 117 records were identified for initial review. After reviewing the studies and removing those studies that…

This meta-analysis included 27 empirical studies to explore the effectiveness of robot-assisted language learning (RALL) as well as the moderating effects of a number of variables. The comparison of 64 effect sizes from 2,637 participants indicated significant variability between the independent samples. The overall results showed that the…

Interventions are crucial in the learning analysis process. Learning analytics-based interventions are being widely applied in the field of education. However, it is currently unclear whether learning analytics-based interventions effectively enhance students' learning effects. To conduct a comprehensive review assessing the extent to which…

The unequal presence of women in scientific and technological fields compared to men may have its origins partly in the compulsory educational stages and performance of teachers involved therein. This study aims to systematically review the existing literature on science and technology teacher training to address the gender gap in STEM studies,…

The rapid advancement of artificial intelligence (AI) is pervasive across numerous fields, including education. However, previous literature reviews have not thoroughly examined the current trends in research design pertaining to AI-assisted learning, nor have they sufficiently addressed the roles of AI applications and teachers within this…

Digital peer feedback, facilitated through various online platforms and tools, has become a significant pedagogical practice in language learning settings. Learners' acceptance, affective and cognitive behaviors, and perceptions of peer feedback play a vital role in its utilization in the learning process. This study aimed to provide a…

This meta-analysis comprehensively examined the effects of English language interventions on struggling elementary school learners in South Korea learning English as a foreign language. A total of 22 studies of experimental and quasi-experimental studies were separately analyzed by the study design using a random-effects model, and the mean effect…

The EdTech sector has seen rapid growth in the past decade, further catalysed by the Covid-19 pandemic that required many teachers and schools to turn to technology-based solutions to support learning over periods of school closures (Karboul, 2020). Since the 2020s, over two-thirds of schools in England have increased their use of technology,…

Early childhood education and care (ECEC) quality is typically determined by key components such as the child-to-teacher ratio, teacher qualifications, the learning environment, and the quality of teacher-child interactions. The aim of the current systematic review and meta-analysis was to investigate the effect of different ECEC quality…

Although the literature underscores the importance of teacher educators' roles in technology leadership, there remains a need to clearly define this concept within teacher education and to understand the attributes and practices that enable teacher educators to act as technology leaders, as well as the factors influencing their leadership in…

Background: Individual patient data meta-analyses (IPD-MA) are regarded as the gold standard for systematic reviews, which also applies to systematic reviews of diagnostic test accuracy (DTA) studies. An increasing number of DTA systematic reviews with IPD-MA have been published in recent years, but there is much variation in how these IPD-MA were…

Standard meta-analysis methods are vulnerable to bias from incomplete reporting of results (both publication and outcome reporting bias) and poor study quality. Several alternative methods have been proposed as being less vulnerable to such biases. To evaluate these claims independently we simulated study results under a broad range of conditions…

Meta-analyzing count data can be challenging when follow-up time varies across studies. Simply pooling aggregate data over time-periods would result in biased estimates, which may erroneously inform clinical decision-making. In this study, we exploit the convolution property of the Poisson distribution to develop a likelihood for observed…

Between 1990 and 2012, the global mean age at diagnosis of autism spectrum disorder ranged from 38 to 120 months. Measures have since been introduced to reduce the age at autism spectrum disorder diagnosis, but the current global mean age is unknown. This review and meta-analysis report the average age at diagnosis from studies published between…

Hanns Scharff, an interrogator during the Second World War, was known for his remarkable effectiveness at collecting intelligence from prisoners of war using a friendly, conversational approach in which he led the prisoners to unknowingly reveal the information he wanted. In the last decade, psychologists have produced a body of experimental…