Math anxiety can significantly impair student learning outcomes. This is often due to a lack of self-regulated learning (SRL), leading to a reliance on external guidance. This systematic literature review aimed to increase existing knowledge on the role of SRL in reducing students' mathematics anxiety and to assess its impact on improving learning…

Background: Perceptual measures such as speech intelligibility are known to be biased, variant and subjective, to which an automatic approach has been seen as a more reliable alternative. On the other hand, automatic approaches tend to lack explainability, an aspect that can prevent the widespread usage of these technologies clinically. Aims: In…

There can be many reasons why students fail to answer correctly to summative tests in advanced computer science courses: often the cause is a lack of prerequisites or misconceptions about topics presented in previous courses. One of the ITiCSE 2020 working groups investigated the possibility of designing assessments suitable for differentiating…

Climate change worry (CCW) is a specific worry about climate change, involving thoughts about changes that might occur in the climate system and their possible effects. Nowadays, it is growing especially among adolescents. As there is a lack of measurement tools with adequate psychometric properties to assess CCW in this age group, we investigated…

Gas Turbine Engines (GTE) have the highest power-to-weight ratio among Internal Combustion Engines (ICE). Its modularity and ability to utilize various types of fuel make it highly recommended in power plants, naval transportation, and, of course, the most equipped in aviation. The lack of GTEs' real data is increasing a recognized need for…

Emerging technologies are transforming educational practices, but successful integration requires improving the quality and efficiency of learning. New technology emerges in hype cycles but adoption and performance lag over time. A strategy development framework is needed for decision-makers to understand the complex interaction of all the factors…

Multi-site randomized controlled trials (RCTs) provide unbiased estimates of the average impact in the study sample. However, their ability to accurately predict the impact for individual sites outside the study sample, to inform local policy decisions, is largely unknown. To extend prior research on this question, we analyzed six multi-site RCTs…

Data comparison problems are used in teaching and science education research that focuses on students' ability to compare datasets and their conceptual understanding of measurement uncertainties. However, the evaluation of students' decisions in these problems can pose a problem: e.g., students making a correct decision for the wrong reasons.…

U.S. public schools are engaged in an unprecedented effort to expand tutoring in the wake of the COVID-19 pandemic. Broad-based support for scaling tutoring emerged, in part, because of the large effects on student achievement found in prior meta-analyses. We conduct an expanded meta-analysis of 265 randomized controlled trials and explore how…

This paper examines the reactions of English pupils who were preparing for GCSE and A-Level examinations to the 2020 exam cancellations resulting from the COVID-19 pandemic. In doing so, it addresses a gap in international research related to high stakes testing by presenting pupils' perspectives. It uses a Bourdieusian framework to explore the…