scholarly journals Portability of Predictive Academic Performance Models: An Empirical Sensitivity Analysis

Mathematics ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. 870
Author(s):  
Jose Luis Arroyo-Barrigüete ◽  
Susana Carabias-López ◽  
Tomas Curto-González ◽  
Adolfo Hernández

The portability of predictive models of academic performance has been widely studied in the field of learning platforms, but there are few studies in which the results of previous evaluations are used as factors. The aim of this work was to analyze portability precisely in this context, where preceding performance is used as a key predictor. Through a study designed to control the main confounding factors, the results of 170 students evaluated over two academic years were analyzed, developing various predictive models for a base group (BG) of 39 students. After the four best models were selected, they were validated using different statistical techniques. Finally, these models were applied to the remaining groups, controlling the number of different factors with respect to the BG. The results show that the models’ performance varies consistently with what was expected: as they move away from the BG (fewer common characteristics), the specificity of the four models tends to decrease.




2016 ◽  
Vol 8 (1) ◽  
pp. 30 ◽  
Author(s):  
Mercedes Rozano ◽  
Jaime Romero

E-learning platforms are a powerful tool that provides substantial improvements in the academic performance and constitute an important support for the acquisition of skills. The purpose of this paper is to explore whether the usage of online resources in blended learning courses influences their performance. The data comes from a Business Administration course (256 students). We use regression analyses to explain how Moodle platform usage influences academic performance in terms of both types of skills (theoretical and practical). The intensity of resources usage and their variety influence learning outcomes. This influence is higher in theoretical skills than in practical, thus recommending using online resources for both types of knowledge and complementing the latter with offline resources. Keywords: skills assessment; academic performance; blended learning course; knowledge acquisition; knowledge application



Blood ◽  
2011 ◽  
Vol 118 (21) ◽  
pp. 2754-2754
Author(s):  
Annie Guerin ◽  
Vamsi K Bollu ◽  
Amy Guo ◽  
Michael Stepner ◽  
James D Griffin ◽  
...  

Abstract Abstract 2754 Background: According to the NCCN guidelines, the recommended treatment option for patients diagnosed with Philadelphia-positive (Ph+) chronic myeloid leukemia (CML) in chronic or accelerated phases who are resistant or develop intolerance to first-line imatinib is to switch to one of the two second-generation BCR-ABL tyrosine kinase inhibitors, nilotinib or dasatinib. There is limited information on their comparative adherence. Analysis of adherence may reveal whether these two drugs are being used as intended and how adherence issues may potentially affect clinical outcomes. Nonadherence to imatinib has been associated with loss of cytogenetic response, imatinib failure, and higher rates of inpatient visits. A prior study covering the period up to 6/2009 has revealed a better adherence profile for nilotinib versus dasatinib. Since dasatinib was approved for once daily use in addition to twice daily use in 05/2009, this study replicated the analysis using more recent data to compare adherence between nilotinib and dasatinib as second-line therapies in CML. Methods: Medical and pharmacy records from two databases from January 1997 to April 2010 were combined to identify adult patients diagnosed with CML (ICD-9 code 205.1x) with ≥1 prescription for either nilotinib or dasatinib. Patients were required to have continuous enrollment ≥1 month prior to and after the index date, defined as the first prescription for nilotinib or dasatinib, and to continue their treatment ≥1 month before discontinuing or switching to another TKI. Adherence over an up-to 180-day period was evaluated based on the proportion of days covered (PDC; sum of days of medication on hand for nilotinib or dasatinib divided by the number of calendar days in the study period). Medication possession ratio (MPR) was also evaluated in a sensitivity analysis. PDC and MPR were compared between cohorts using linear regression models. Discontinuation was defined as a treatment gap ≥30 days, and rates were compared between cohorts using Kaplan-Meier survival analyses and Cox proportional hazard regression models. In a sensitivity analysis, discontinuation was defined as a treatment gap ≥90 days. All multivariate regression models were controlled for age, gender, CML complexity, adverse events at baseline, number of inpatient days, emergency room (ER) visits and outpatient visits during baseline, medical costs during baseline, CML year of diagnosis, Charlson Comorbidity Index, and bone marrow or stem cell transplant before the index date. Results: Adherence and discontinuation were analyzed for a total of 558 CML patients receiving a second-line TKI (473 dasatinib and 85 nilotinib). Patient characteristics were generally similar. Patients in the dasatinib cohort had a longer mean follow-up period compared with those in the nilotinib cohort (162 days vs. 146 days; P = 0.0007) and greater utilization and costs associated with inpatient and ER services. The mean PDC over the study period for nilotinib was higher compared with dasatinib (0.81 vs 0.68). After adjusting for confounding factors, the nilotinib group had a 0.115 higher PDC (approximately 17% higher) compared to the dasatinib group (P = 0.0004). Additionally, patients in the nilotinib group had a significantly higher MPR compared to patients in the dasatinib group (0.90 vs. 0.77 P = 0.0043). Discontinuation rates (gap ≥30 days) were significantly higher for dasatinib users than for nilotinib users, with an adjusted hazard ratio of 2.15 (P = 0.0013). Dasatinib-treated patients had higher discontinuation rates than nilotinib-treated patients after 3 months (40% vs 22%) and 6 months (50% vs 28%). These unadjusted differences were robust in the sensitivity analysis with discontinuation defined as a treatment gap ≥90 days, but the difference between the cohorts was no longer significant after adjusting for confounding factors (HR 1.76, P = 0.1328). Conclusions: This retrospective study showed that CML patients treated with nilotinib for second-line treatment were significantly more adherent to therapy, based on PDC and MPR, and had a lower discontinuation rate than did patients receiving dasatinib in this analysis. Further studies are needed to better understand treatment-specific factors affecting adherence and persistence (e.g., treatment cost, tolerability profile, dosing convenience). Disclosures: Guerin: Novartis Pharmaceutical Corporation: Annie Guerin is an employee of Analysis Group, Inc, which has received research funds from Novartis Pharmaceuticals. Bollu:Novartis Pharmaceutical Corporation: Employment, Vamsi K. Bollu worked for the Novartis Pharmaceuticals Corporation while performing this analysis but is currently employed by Sunovion Pharmaceuticals Inc. Sunovion Pharmaceuticals Inc. was not in any way associated with this study. Guo:Novartis Pharmaceutical Corporation: Employment. Stepner:Novartis Pharmaceutical Corporation: Michael Stepner is an employee of Analysis Group, Inc, which has received research funds from Novartis Pharmaceuticals. Griffin:Novartis Pharmaceutical Corporation: James D. Griffin is an employee of the Dana Farber Institute which has received consultancy fees from Analysis Group, Inc, which has received research funds from Novartis Pharmaceuticals Corporation. Wu:Novartis Pharmaceutical Corporation: Eric Q. Wu is an employee of Analysis Group, Inc, which has received consultancy funds from Novartis Pharmaceutical Corporation.





Author(s):  
J Wang ◽  
H Liu

Predictive models for the major cutting performance measures, such as the kerf taper and depth of cut, are developed for both straight-slit cutting and profile cutting by an abrasive waterjet. The plausibility and predictive capability of the models are assessed and verified by comparing the model predictions with the corresponding experimental data. Very good correlations between the predicted and experimental results have been found, which confirm the adequacy of the models for use in process planning.



Medicina ◽  
2021 ◽  
Vol 57 (6) ◽  
pp. 594
Author(s):  
Yue Shen ◽  
Cheng Cheng ◽  
Xue Zheng ◽  
Yuefei Jin ◽  
Guangcai Duan ◽  
...  

Background and Objectives: Procalcitonin (PCT) is positively associated with the severity of COVID-19 (including severe, critical, or fatal outcomes), but some of the confounding factors are not considered. The aim of this meta-analysis was to estimate the adjusted relationship between elevated procalcitonin on admission and the severity of COVID-19. Materials and Methods: We searched 1805 articles from PubMed, Web of Science, and Embase databases up to 2 April 2021. The articles were selected which reported the adjusted relationship applying multivariate analysis between PCT and the severity of COVID-19. The pooled effect estimate was calculated by the random-effects model. Results: The meta-analysis included 10 cohort studies with a total of 7716 patients. Patients with elevated procalcitonin on admission were at a higher risk of severe and critical COVID-19 (pooled effect estimate: 1.77, 95% confidence interval (CI): 1.38–2.29; I2 = 85.6%, p < 0.001). Similar results were also observed in dead patients (pooled effect estimate: 1.77, 95% CI: 1.36–2.30). After adjusting for diabetes, the positive association between PCT and the severity of COVID-19 decreased. Subgroup analysis revealed heterogeneity between studies and sensitivity analysis showed that the results were robust. There was no evidence of publication bias by Egger’s test (p = 0.106). Conclusions: Higher procalcitonin is positively associated with the severity of COVID-19, which is a potential biomarker to evaluate the severity of COVID-19 and predict the prognosis.



2022 ◽  
Vol 14 (2) ◽  
pp. 878
Author(s):  
Babatunde Adeyeye ◽  
Success Emmanuel Ojih ◽  
Damilola Bello ◽  
Evaristus Adesina ◽  
Darlynton Yartey ◽  
...  

This study examines the effectiveness of online learning platforms (Zoom and Moodle) and their effect on the academic performance of Covenant University, Ota, Nigeria, students studying practical-related courses during COVID-19. This study specifically seeks to determine students’ attitudes towards online learning platforms, investigate the effectiveness of these platforms on practical-related courses as well as ascertain the effect of Zoom and Moodle platforms on the students’ academic performance during the Pandemic. Data were gathered through a survey of 380 CU students through the purposive sampling technique to pick students offering practical related courses. Results show that due to the effectiveness of the platforms (Zoom and Moodle) and the positive communication between lecturers and students via these platforms, students would like to see online learning continually adopted after the COVID-19 pandemic. Findings further show that students had no difficulties using these platforms. Due to the sheer adaptability of the online learning platforms used during the pandemic, the usage of Zoom and Moodle had a favorable impact on student’s academic achievement in practical-related courses. The study concludes that distance learning is a future direction in teaching practical-related courses because of the flexible nature of the platforms. Thus, universities in this part of the world should invest more in online education platforms to maintain academic continuity, especially during times of emergency.



Author(s):  
Zi-Yu Liu ◽  
Natalya Lomovtseva ◽  
Elena Korobeynikova

Online learning platforms play an important role in modern education. However, they may not be sufficiently represented in educational institutions. In this regard, the research objectives are set, namely: organize a comparative analysis of several popular distance learning platforms (Moodle, Open edX and NEO LMS) in accordance with the criteria (system features, content support, content creation, user management, reporting system; conduct consultation with university teachers, during which they will highlight the benefits of distance education systems from the point of view of the teacher; and test students, who use the online platform for learning in order to clarify its impact on academic performance. While consulting with 40 teachers of Russian and Chinese universities (Moscow State University, Higher School of Economics, Peking University, Tsinghua University), the following advantages of distance platforms have been highlighted: greater freedom of access, lower education prices, the possibility of dividing the content of the e-course into modules, flexibility of education, the ability to keep up with modern pace of life, and the ability to define criteria for assessing knowledge. According to the results of testing, after working with the Moodle platform, students (300 people in total) with different academic performance have improved their results. The most significant improvement has occurred among students with “unsatisfactory” grades; more than 50% have improved their results. Analysis of distance learning systems, testing of students and consultation with teachers allow saying that such platforms help to make education more accessible and convenient. Besides, information technologies are introduced in the educational process. That is why it is important to implement such platforms in higher education.



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