Games in the classroom? Analysis of their effects on financial accounting marks in higher education

© 2021. © 2021 The Authors. Published by Elsevier Ltd.. This document is made available under the CC-BY 4.0 license http://creativecommons.org/licenses/by /4.0/ This document is the Accepted version of a Published Work that appeared in final form in The International Journal of Management Education. To access the final edited and published work see https://doi.org/10.1016/j.ijme.2021.100584The purpose of this study is to examine Kahoot! in higher education, specifically in subjects of financial accounting, and explore if its use means higher marks. We analyze the marks of 232 students of Financial Accounting of the Business and Management Degree of the University of Murcia (Spain). The sample comprises two groups of students, depending on whether or not games are used in the classroom, and the marks of the continuous assessment exercises, the final exam, and the final mark in the subject are compared to check if there are differences between groups. This means that we finally analyze a database of 794 marks. The results indicate that students who played get better academic results than those who did not use Kahoot! The current pandemic situation has changed the way of teaching and at university, it is mainly virtual, which can make teaching and learning more tedious and less motivating. For this reason, the use of gamification can be easily implemented in order to avoid all these inconveniences and positively affect the students’ marks

Educación Superior y tutoría: uso del aula virtual en contabilidad

La tutoria és una eina clau en lensenyament universitari que ha evolucionat cap a tutoria virtual. L'objectiu del present treball és realitzar una classificació de les tutories virtuals, per posteriorment analitzar si vénen determinades pel sexe dels estudiants, el fet que es tracti d'un treball fi de grau o màster, o el mitjà concret a través del qual es realitzen. Per això s'ha confeccionat una base de dades amb 807 tutories virtuals en assignatures de comptabilitat, a partir de la qual se n'ha realitzat una classificació i una anàlisi explicativa amb un model de regressió categòrica amb escalament òptim. Les conclusions principals obtingudes subratllen que la tutoria virtual se segueix utilitzant amb finalitats acadèmiques i sobretot la importància que cobra aquest tipus de tutoria a l'assignatura de treballs finals.Tutoring is an important part of the teaching at the University that now is mainly done through ICT. The objective of this paper is to obtain a classification of virtual tutoring and to study if it is influenced by other variables such as students´ gender, subject or way used to do the question of the tutoring. We have elaborated a database from 807 real virtual tutorings in subjects of accounting to classify them in different types using a descriptive analysis and proposing a categorical regression model (CATREG). As principal results can be highlighted that the use of virtual tutoring is academical and that they are very important in the subjects of final degree and master work.La tutoría es una herramienta clave en la enseñanza universitaria que ha evolucionado hacia tutoría virtual. El objetivo del presente trabajo es realizar una clasificación de las tutorías virtuales, para posteriormente analizar si vienen determinadas por el sexo de los estudiantes, el hecho de que se trate de un trabajo fin de grado o máster, o el medio concreto a través del que se realizan. Para ello se ha confeccionado un base de datos con 807 tutorías virtuales en asignaturas de contabilidad, a partir de la que se ha realizado una clasificación de las mismas y un análisis explicativo con un modelo de regresión categórica con escalamiento óptimo. Las principales conclusiones obtenidas subrayan que la tutoría virtual se sigue utilizando con fines académicos y sobre todo la importancia que cobra este tipo de tutoría en la asignatura de trabajos finales

All-cause mortality in the cohorts of the Spanish AIDS Research Network (RIS) compared with the general population: 1997Ł2010

Abstract Background: Combination antiretroviral therapy (cART) has produced significant changes in mortality of HIVinfected persons. Our objective was to estimate mortality rates, standardized mortality ratios and excess mortality rates of cohorts of the AIDS Research Network (RIS) (CoRIS-MD and CoRIS) compared to the general population. Methods: We analysed data of CoRIS-MD and CoRIS cohorts from 1997 to 2010. We calculated: (i) all-cause mortality rates, (ii) standardized mortality ratio (SMR) and (iii) excess mortality rates for both cohort for 100 personyears (py) of follow-up, comparing all-cause mortality with that of the general population of similar age and gender. Results: Between 1997 and 2010, 8,214 HIV positive subjects were included, 2,453 (29.9%) in CoRIS-MD and 5,761 (70.1%) in CoRIS and 294 deaths were registered. All-cause mortality rate was 1.02 (95% CI 0.91-1.15) per 100 py, SMR was 6.8 (95% CI 5.9-7.9) and excess mortality rate was 0.8 (95% CI 0.7-0.9) per 100 py. Mortality was higher in patients with AIDS, hepatitis C virus (HCV) co-infection, and those from CoRIS-MD cohort (1997. Conclusion: Mortality among HIV-positive persons remains higher than that of the general population of similar age and sex, with significant differences depending on the history of AIDS or HCV coinfection

Kahoot! and its effect on financial accounting marks at the university

© 2023. The authors. This document is made available under the CC-BY 4.0 license http://creativecommons.org/licenses/by /4.0/ This document is the Accepted version of a Published Work that appeared in final form in Education and Information Technologies. To access the final edited and published work see https://doi.org/10.1007/s10639-023-11612-zNew technologies have led to digital educational tools to improve learning. GameBased Learning makes it possible to test whether there is a positive impact on official grades. We have collected the scores of the Kahoot! games, the marks of the continuous assessment, the final exam, and the final mark of the subject, to create an ad-hoc database. Finally, we have analyzed a database consisting of 392 marks of higher students from the first semester of the 2018/2019 academic year. We have calculated a correlation matrix, tested a hypothesis for differences in mean paired samples, and proposed three regression models to obtain that there is a positive influence of the games on the official marks. Therefore, Kahoot! is a didactic tool that improves students’ learning and is reflected in their official marks

Impact of late presentation of HIV infection on short-, mid- and long-term mortality and causes of death in a multicenter national cohort : 2004-2013

To analyze the impact of late presentation (LP) on overall mortality and causes of death and describe LP trends and risk factors (2004-2013). Cox models and logistic regression were used to analyze data from a nation-wide cohort in Spain. LP is defined as being diagnosed when CD4 < 350 cells/ml or AIDS. Of 7165 new HIV diagnoses, 46.9% (CI:45.7-48.0) were LP, 240 patients died.First-year mortality was the highest (aHR = 10.3[CI:5.5-19.3]); between 1 and 4 years post-diagnosis, aHR = 1.9(1.2-3.0); an

COVID-19 in hospitalized HIV-positive and HIV-negative patients : A matched study

CatedresObjectives: We compared the characteristics and clinical outcomes of hospitalized individuals with COVID-19 with [people with HIV (PWH)] and without (non-PWH) HIV co-infection in Spain during the first wave of the pandemic. Methods: This was a retrospective matched cohort study. People with HIV were identified by reviewing clinical records and laboratory registries of 10 922 patients in active-follow-up within the Spanish HIV Research Network (CoRIS) up to 30 June 2020. Each hospitalized PWH was matched with five non-PWH of the same age and sex randomly selected from COVID-19@Spain, a multicentre cohort of 4035 patients hospitalized with confirmed COVID-19. The main outcome was all-cause in-hospital mortality. Results: Forty-five PWH with PCR-confirmed COVID-19 were identified in CoRIS, 21 of whom were hospitalized. A total of 105 age/sex-matched controls were selected from the COVID-19@Spain cohort. The median age in both groups was 53 (Q1-Q3, 46-56) years, and 90.5% were men. In PWH, 19.1% were injecting drug users, 95.2% were on antiretroviral therapy, 94.4% had HIV-RNA < 50 copies/mL, and the median (Q1-Q3) CD4 count was 595 (349-798) cells/μL. No statistically significant differences were found between PWH and non-PWH in number of comorbidities, presenting signs and symptoms, laboratory parameters, radiology findings and severity scores on admission. Corticosteroids were administered to 33.3% and 27.4% of PWH and non-PWH, respectively (P = 0.580). Deaths during admission were documented in two (9.5%) PWH and 12 (11.4%) non-PWH (P = 0.800). Conclusions: Our findings suggest that well-controlled HIV infection does not modify the clinical presentation or worsen clinical outcomes of COVID-19 hospitalization

How do women living with HIV experience menopause? Menopausal symptoms, anxiety and depression according to reproductive age in a multicenter cohort

CatedresBackground: To estimate the prevalence and severity of menopausal symptoms and anxiety/depression and to assess the differences according to menopausal status among women living with HIV aged 45-60 years from the cohort of Spanish HIV/AIDS Research Network (CoRIS). Methods: Women were interviewed by phone between September 2017 and December 2018 to determine whether they had experienced menopausal symptoms and anxiety/depression. The Menopause Rating Scale was used to evaluate the prevalence and severity of symptoms related to menopause in three subscales: somatic, psychologic and urogenital; and the 4-item Patient Health Questionnaire was used for anxiety/depression. Logistic regression models were used to estimate odds ratios (ORs) of association between menopausal status, and other potential risk factors, the presence and severity of somatic, psychological and urogenital symptoms and of anxiety/depression. Results: Of 251 women included, 137 (54.6%) were post-, 70 (27.9%) peri- and 44 (17.5%) pre-menopausal, respectively. Median age of onset menopause was 48 years (IQR 45-50). The proportions of pre-, peri- and post-menopausal women who had experienced any menopausal symptoms were 45.5%, 60.0% and 66.4%, respectively. Both peri- and post-menopause were associated with a higher likelihood of having somatic symptoms (aOR 3.01; 95% CI 1.38-6.55 and 2.63; 1.44-4.81, respectively), while post-menopause increased the likelihood of having psychological (2.16; 1.13-4.14) and urogenital symptoms (2.54; 1.42-4.85). By other hand, post-menopausal women had a statistically significant five-fold increase in the likelihood of presenting severe urogenital symptoms than pre-menopausal women (4.90; 1.74-13.84). No significant differences by menopausal status were found for anxiety/depression. Joint/muscle problems, exhaustion and sleeping disorders were the most commonly reported symptoms among all women. Differences in the prevalences of vaginal dryness (p = 0.002), joint/muscle complaints (p = 0.032), and sweating/flush (p = 0.032) were found among the three groups. Conclusions: Women living with HIV experienced a wide variety of menopausal symptoms, some of them initiated before women had any menstrual irregularity. We found a higher likelihood of somatic symptoms in peri- and post-menopausal women, while a higher likelihood of psychological and urogenital symptoms was found in post-menopausal women. Most somatic symptoms were of low or moderate severity, probably due to the good clinical and immunological situation of these women

Discovering HIV related information by means of association rules and machine learning

Acquired immunodeficiency syndrome (AIDS) is still one of the main health problems worldwide. It is therefore essential to keep making progress in improving the prognosis and quality of life of affected patients. One way to advance along this pathway is to uncover connections between other disorders associated with HIV/AIDS-so that they can be anticipated and possibly mitigated. We propose to achieve this by using Association Rules (ARs). They allow us to represent the dependencies between a number of diseases and other specific diseases. However, classical techniques systematically generate every AR meeting some minimal conditions on data frequency, hence generating a vast amount of uninteresting ARs, which need to be filtered out. The lack of manually annotated ARs has favored unsupervised filtering, even though they produce limited results. In this paper, we propose a semi-supervised system, able to identify relevant ARs among HIV-related diseases with a minimal amount of annotated training data. Our system has been able to extract a good number of relationships between HIV-related diseases that have been previously detected in the literature but are scattered and are often little known. Furthermore, a number of plausible new relationships have shown up which deserve further investigation by qualified medical experts