This 2-year short-term longitudinal study explored Canadian emerging adolescents' ability to recognize emotions in others, their spontaneous descriptions of themselves and self-understandings, and their narrative and pictorial accounts of themselves engaged in leisure time activities. As part of a larger 5-year longitudinal study, this study…

Artificial intelligence (AI) has the potential to support self-regulated learning (SRL) because of its strong anthropomorphic characteristics. However, most studies of AI in education have focused on cognitive outcomes in higher education, and little research has examined how psychological needs affect SRL with AI in the K-12 setting. SRL is a…

Self-regulated learning (SRL) represents a necessary fundamental 21st century skill for children and adolescents and is essential for the development of gifted students. This study explored mathematically gifted (MG) junior high school students' SRL capabilities while solving mathematical problems compared to typical achievers (TAs). A sample of…

This study examined the impact of Personalization for Academic and Social Emotional Learning (PASL), a school based social emotional reform implemented in the Broward County Florida Public Schools. Taking advantage of a phased roll out of PASL, we analyzed data collected during the first implementation year (2017-18) and compared 205 9th grade…

Developing self-regulated learning (SRL) skills among young adolescents is crucial for lifelong learning, and teachers play a vital role in fostering these skills. Problem-solving is a key SRL skill; however, both learners and teachers encounter challenges during the problem-solving process and in evaluating its incorporated strategies. To tackle…

The anthropomorphic characteristics of artificial intelligence (AI) can provide a positive environment for self-regulated learning (SRL). The factors affecting adolescents' SRL through AI technologies remain unclear. Limited AI and disciplinary knowledge may affect the students' motivations, as explained by self-determination theory (SDT). In this…

Formative assessment is essential for improving teaching and learning, and AI and visualization techniques provide great potential for its design and delivery. Using NLP, cognitive diagnostic and visualization techniques designed to analyse and present students' monthly exam data, we developed an AI-enabled visual report tool comprising six…

Noncognitive constructs such as self-efficacy, social awareness, and academic engagement are widely acknowledged as critical components of human capital, but systematic data collection on such skills in school systems is complicated by conceptual ambiguities, measurement challenges and resource constraints. This study addresses this issue by…

In the context of education, motivation and self-regulation of learning are dominant issues. The degree of intrinsic and extrinsic motivation to learn is related to students' academic achievement and literacy development. This study aimed to research the regulatory styles and motivation to learn among homeschooled students, with a particular focus…

Researchers developing questionnaire measures of personality, motivation, and self-regulation constructs related to students' achievement and persistence in STEM or other fields rarely have examined whether the items on the measures used are functioning differently across groups, which is necessary for accurate group comparison. The present study…

This study aimed at examining the relationships of self-regulated learning strategies with students' learning motivation and academic achievement in mathematics. The study employed a descriptive research design. The participants were 238 ninth grade students in the Sultanate of Oman. The Motivated Strategies for Learning Questionnaire was used to…

This article discusses how mathematics didactics can be inspired by and further developed through responsive pedagogy, understood as feedback directed at self-regulation and self-efficacy, in mathematics teaching. The authors explain the rationale behind an intervention model for improving mathematics teachers' feedback practices. The model is a…

Background: Adaptability regulates individuals' cognitive, behavioural and emotional responses to new, unexpected and uncertain situations, but to date no study has analysed whether adaptability contemporarily favours cognitive, behavioural and emotional aspects of learning. Aims: This study aims to address this gap by examining (i) the direct…

This study examines how one teacher supported low-achieving students' self-regulated learning (SRL) in the context of a secondary mathematics class. The teacher's scaffolding provided students with multiple opportunities to use feedback and adapt learning and study strategies. Data compared pre- and post-measures of metacognitive skills,…

The relation between academic achievement and various measurements of cognitive abilities, problem-solving skills and self-managed learning has been established in the research before the COVID-19 pandemic and distance learning. The aim of the current research was to analyze the extent to which these aspects predicted the educational achievement…