Self-Regulated Learning in Geometry Problem-Solving from Kindergarten to Teacher Education: A Systematic Review of Studies Published from 2021 to 2026

Academic writing development in open and distance learning (ODL) environments remains challenging because students must independently regulate complex writing processes while receiving limited opportunities for continuous interaction and feedback. Existing digital learning platforms often emphasize assignment submission rather than supporting writing development as an iterative process involving planning, feedback utilization, reflection, and revision. This study aimed to develop and evaluate SIM-Aril as an online portfolio-based self-regulated feedback platform for supporting academic writing development in an ODL context. This study employed a Research and Development (R&D) design involving needs analysis, platform development, validation, implementation, and evaluation. Data were collected from 122 students and 38 tutors through self-regulated writing questionnaires, tutor competency questionnaires, expert evaluation, and qualitative responses. Quantitative data were analyzed using descriptive statistics, reliability analysis, correlation analysis, regression analysis, and exploratory factor analysis, while qualitative data were analyzed thematically. The findings demonstrate that SIM-Aril supported academic writing development through the integration of digital portfolio assessment, tutor scaffolding, and student self-regulated writing processes. Students demonstrated strong engagement in revision, feedback utilization, metacognitive monitoring, and other writing regulation activities. Tutor evaluation indicated that academic writing supervision represented an important component supporting SIM-Aril implementation. The integrated findings show that SIM-Aril functions not merely as a digital submission platform but as a self-regulated feedback ecosystem that connects learner autonomy, instructional support, and formative feedback. This study contributes theoretically by extending digital assessment research through a model that integrates individual self-regulation, socially shared regulation, and feedback literacy within technology-supported academic writing environments. Practically, the findings suggest that effective digital assessment in ODL should be designed to support learning processes rather than only evaluate final outcomes.

Emotional self-regulation is an aspect of interest in mathematics learning given the emotional experiences associated with difficulties and errors; therefore, the study aimed to understand educational professionals’ perceptions of this phenomenon. The research was conducted using a qualitative approach, within the interpretive paradigm, and employing a descriptive-interpretive design. It involved a mathematics teacher, a psychologist, and an educational psychologist, who participated in asynchronous, semi-structured interviews. The data were analyzed through coding and triangulation of sources. The findings showed that the professionals attribute significance to emotional experiences in the face of mathematical difficulties and recognize resources related to academic coping and self-confidence, in addition to situating emotional support, guidance, feedback, and the learning environment within these experiences. These results align with previous studies that acknowledge emotional and pedagogical components related to mathematics learning, although the present study interprets them from the perspective of professional perceptions. It is concluded that participants understand emotional self-regulation as a process related to managing emotional responses to mathematical challenges, situated within a context of personal, academic, and pedagogical support resources.

Generative AI, and more precisely large language models, have nowadays rapidly become useful in education, professional work, and everyday tasks. While these systems offer notable benefits to make work efficient and improved accessibility, the recent evidence suggests that their usage has cognitive costs. This paper presents a structured review of 16 reviewed studies investigating the impact of Gen AI usage on cognitive offloading, metacognitive engagement, automation bias, and human skill. By studying experimental, survey-based, qualitative, and theoretical research, this review synthesizes several findings across several fields to identify recurring mechanisms through which GenAI usage reshapes cognition. Our analysis reveals a consistent pattern, where GenAI often improves short-term task performance, but it frequently minimizes effortful cognitive processing, diminishes self-regulation, and changes skill developments. Rather than constant de-skilling, this paper points out reconfiguration of skills, favoring efficiency-oriented competencies such as prompting and verification over generative reasoning and critical reflection. Our study further highlights these outcomes are not unavoidable but are strongly mediated by interaction design, educational practices, and socio-technical environments. By showing these effects as the “cost of convenience,” this paper contributes an integrative perspective on the cognitive effects of Gen AI and highlighting the ways to make AI design, education, and governance cognitively sustainable.

Background Insomnia and poor sleep are highly prevalent among university students and are linked to impaired mental and physical health, reduced cognitive functioning, and lower academic performance. Existing interventions for insomnia include cognitive behavioural therapy for insomnia (CBT-I), mindfulness, and sleep hygiene. CBT-I is widely recognised as effective but remains difficult to access for the general population and lack scalability, long-term follow-up, and feasibility in non-clinical settings. Pragmatic, group-based approaches that can be delivered within the university and are tailored to help students develop self-endorsed routines and competencies for better sleep, creating sustainable changes that extend beyond the program period, is needed. Methods This study is a pragmatic, two-arm randomised controlled trial evaluating the effectiveness of a group-based sleep program for university students with insomnia symptoms. A total of 118 full-time students aged 18–30 meeting diagnostic criteria for chronic insomnia disorder will be randomized (1:1) to either the intervention or a wait-list control group. The intervention comprises 12 weekly 90-minute group sessions followed by nine monthly follow-up meetings, facilitated by trained coaches. The program integrates core elements of CBT-I with motivational and coping strategies, delivered in an interactive and peer-supported format. The primary outcome is change in insomnia severity measured by the Bergen Insomnia Scale. Secondary outcomes include subjective and objective sleep measures, mental health, cognitive performance, academic attainment, health behaviours, physical fitness, and biological markers. Assessments will be conducted at baseline, post-program (12 weeks), and 12 months. A mixed methods process evaluation will assess fidelity, acceptability, mechanisms of impact, and contextual influences. Discussion This trial will be among the first pragmatic evaluations of a structured, group-based sleep intervention tailored to university students with insomnia. Key strengths include the randomised controlled design, comprehensive outcome assessment, 12-month follow-up, and embedded process evaluation. If effective, the program could provide a feasible, scalable, and cost-effective model to improve sleep and therein health, and academic performance in young adults in higher education.

The rapid growth of social media has transformed communication and information sharing; however, excessive use can promote procrastination and avoidance of academic tasks, contributing to increased test anxiety among students. This study explores how social media use and procrastination contribute to test anxiety among the said population. A cross-sectional design was employed with sample of 284 university students (M = 110, F = 160) with a mean X age=20.8 years selected through convenience. Social media was measured through Social Media Use Questionnaire (Xanidis and Brignell, 2016), procrastination was assessed using the Lay Procrastination Scale (Lay, 1986) and test anxiety was evaluated by Westside Test Anxiety Scale (Driscoll, 2004). Data was analyzed using correlation and regression analysis. The results revealed significant positive correlation between social media use, procrastination, and test anxiety. Regression analysis showed that both the use of social media and procrastination significantly forecasted test anxiety, indicating that an increased occurrence of problematic digital engagement and reduced self-control leads to academic stress. These findings highlight the fact that university-level interventions encourage healthier digital habits and stronger individual control of students. Also, it emphasizes the need for parents and educators to promote effective study habits and self-regulation, as excessive social media use limits students’ available study time.