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Use of learning analytics to improve educational outcomes is a growing area of research. While learning analytics research has been more prevalent in higher education contexts, this study presents findings from a qualitative metasynthesis of 47 research publications related to opportunities and challenges relevant to learning analytics design, implementation, and research at the PK-12 level. Our findings indicate that, while many see the educational benefits of learning analytics (e.g., more equitable instruction, individualized learning, enhanced assessment for learning); others remain unconvinced by a lack of evidence of improved outcomes and concerned about persistent challenges and potentially harmful impacts (e.g., infringement on users' privacy, misuse or misinterpretation of data by educators). We conclude by considering implications for mathematics education stemming from our analysis of learning analytics and posing questions to shape future research and key developments in mathematics education as learning analytics become more prevalent., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2024 The Authors.)

Background: Cardiac, hepatic and pancreatic T2* measured by magnetic resonance imaging (MRI) has been proven to be an accurate and non-invasive method for measuring iron overload in iron overload conditions. There is accumulating evidence that pancreatic iron can predict cardiac iron in young children because the pancreas loads earlier than the heart. The aim of our study was to assess the relationships between pancreatic T2* values and pancreatic iron loading with cardiac dysfunctions and liver and cardiac iron among patients with β-thalassaemia major (βTM) and sickle cell disease (SCD). Methods: 40 βTM and 20 transfusion-dependant SCD patients were included along with 60 healthy age and sex-matched controls. Echocardiography and Tissue Doppler Imaging were performed for all subjects as well as the control group.  Hepatic, cardiac and pancreatic iron overload in cases were assessed by MRI T2*. Results:  The mean age of our patients was 13.7 years with mean frequency of transfusion/year 12. Mean cardiac T2* was 32.9 ms and mean myocardial iron concentration was 0.7 mg/g; One patient had cardiac iron overload of moderate severity. Mean pancreatic T2* was 22.3 ms with 20 patients having mild pancreatic iron overload. Pancreatic T2* correlated positively peak late diastolic velocity at septal mitral annulus (r=0.269, p=0.038), peak early diastolic velocity at tricuspid annulus (r=0.430, p=0.001) and mitral annular plane systolic excursion (r=0.326, p=0.01); and negatively with end systolic pulmonary artery pressure (r=-0.343, p=0.007) and main pulmonary artery diameter (MPA) (r=-0.259, p=0.046). We couldn't test the predictability of pancreatic T2* in relation to cardiac T2* as only one patient had cardiac T2*<20 ms. Conclusion : There was a relationship between pancreatic iron siderosis with cardiac dysfunction in multi-transfused patients with βTM and SCD. No direct relation between pancreatic iron and cardiac siderosis was detected., Competing Interests: No competing interests were disclosed., (Copyright: © 2021 Salama K et al.)

Background: Cardiac, hepatic and pancreatic T2* measured by magnetic resonance imaging (MRI) has been proven to be an accurate and non-invasive method for measuring iron overload in iron overload conditions. There is accumulating evidence that pancreatic iron can predict cardiac iron in young children because the pancreas loads earlier than the heart. The aim of our study was to investigate cardiac function and cardiac iron and their relation to pancreatic iron among patients with β-thalassaemia major (βTM) and sickle cell disease (SCD). Methods: 40 βTM and 20 transfusion-dependant SCD patients were included along with 60 healthy age-matched controls. Echocardiography and Tissue Doppler Imaging were performed for all subjects as well as the control group.  Hepatic, cardiac and pancreatic iron overload in cases were assessed by MRI T2*. Results: The study group consisted of 40 βTM and 20 transfusion dependant SCD patients with mean age 13.7 years and mean frequency of transfusion/year 12. Mean cardiac T2* was 32.9 ms and mean myocardial iron concentration was 0.7 mg/g; One patient had cardiac iron overload of moderate severity. Mean pancreatic T2* was 22.3 ms with 20 patients having mild pancreatic iron overload. Pancreatic T2* correlated positively with main pulmonary artery diameter (p=0.046), peak late diastolic velocity at septal mitral annulus (p=0.038), peak early diastolic velocity at tricuspid annulus (p=0.001) and mitral annular plane systolic excursion (p=0.01); and negatively with end systolic pulmonary artery pressure (p=0.007). We couldn't test the predictability of pancreatic T2* in relation to cardiac T2* as only one patient had cardiac T2*<20 ms. Conclusion : Assessment of pancreatic T2* in multi-transfused patients with βTM and SCD can predict myocardial dysfunction. No direct relation between pancreatic iron and cardiac siderosis was detected., Competing Interests: No competing interests were disclosed., (Copyright: © 2020 Salama K et al.)