The association between future time perspective and health behavior among patients with colorectal cancer: a moderated mediation model

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.

Geometry problem-solving requires learners to coordinate conceptual knowledge, spatial representation, strategy use and the regulation of cognition, motivation and effort. This systematic review examined how self-regulated learning (SRL) operates in geometry problem-solving and which learner, task, social, instructional and developmental conditions shape it. A Scopus search reported according to PRISMA 2020 identified 1,298 records; database limits left 529, and eligibility screening retained 32 empirical studies published from 2021 to 2026. Twelve studies involved undergraduates or pre-service teachers, seven involved school pupils, one involved kindergarten children and 12 did not state the educational level in the extracted records. Study quality was appraised with the Mixed Methods Appraisal Tool, and thematic synthesis identified four themes: planning and strategic regulation; monitoring, control and strategy adaptation; learner characteristics and outcomes; and instructional scaffolding and technology. Successful performance was associated with problem representation, strategy selection, monitoring, error detection, adaptation and evaluation. Diagnostic and elaborated feedback, content-focused peer feedback and supportive scaffolding were more informative than the presence of technology. Evidence on learner characteristics was mainly correlational, and evidence on young learners was thin. The review proposes a Process-Oriented Framework of Self-Regulated Geometry Problem-Solving that links input conditions, forethought, performance regulation, reflection, and outcomes and it is best supported for adolescent and adult learners. Future research should combine self-report with behavioural, longitudinal and process-tracing evidence and develop age-appropriate SRL measures for young children.

Purpose: This study assessed the prevalence of sleep disturbance and associated factors in patients with hepatocellular carcinoma (HCC) receiving hepatic arterial infusion chemotherapy (HAIC) combined with targeted therapy and immunotherapy. Patients and Methods: A cross-sectional survey enrolled 230 patients undergoing HAIC combined with targeted therapy and immunotherapy at Sun Yat-sen University Cancer Center (July–November 2025). Sleep, psychological distress, pain, appetite, and quality of life were assessed using the PSQI, HADS, NRS, VAS, and EORTC QLQ-C30, respectively, along with prior HAIC cycles. Logistic regression identified factors associated with sleep disturbance. Results: The prevalence of sleep disturbance (PSQI > 5) was 72.6% (167/230). Univariate analysis identified a greater number of prior HAIC cycles, higher levels of depressive and anxiety symptoms, and lower quality of life and appetite as significant factors. In multivariate analysis, four factors remained independently associated with sleep disturbance: prior HAIC cycles (OR = 1.66, 95% CI: 1.25– 2.20, P < 0.001), anxiety symptoms (OR = 1.27, 95% CI: 1.12– 1.44, P < 0.001), depressive symptoms (OR = 1.23, 95% CI: 1.03– 1.47, P = 0.021), and appetite sensations (OR = 0.93, 95% CI: 0.91– 0.96, P < 0.001), which showed an inverse association with sleep disturbance. The model showed an apparent area under the ROC curve of 0.92 (95% CI 0.87– 0.96), with an optimism-corrected AUC of 0.91 after bootstrap resampling. Conclusion: Sleep disturbance was highly prevalent and was independently associated with cumulative treatment burden, psychological distress and impaired appetite. These cross-sectional findings support routine sleep screening together with psychological and nutritional assessment in this population; whether modifying these factors improves sleep quality requires prospective interventional studies. Keywords: hepatocellular carcinoma, sleep disturbance, hepatic arterial infusion chemotherapy, immunotherapy, targeted therapy

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.