Academic approach about E-learning modules from the teacher/student perspective at the National University Mayor de San Marcos, Lima-Perú

Saldarriaga, Rosalba Alzate de; Vega, Helena Lamas Moreno de; Rodríguez, Celia; Cruz, Peñaherrera

doi:10.17993/3ctic.2021.103.121-139

Cited by 6 publications

(4 citation statements)

References 6 publications

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“…[12] mentions that considering the COVID-19 pandemic, it is essential to consider citizen participation using web technologies for decision making to improve the services provided. [13] mentions that, after the analysis of the data obtained in the surveys conducted, it is concluded that the factor that most influences virtual learning is the quality of virtual platforms.…”

Section: B Research Backgroundmentioning

confidence: 99%

Implementation of a chatbot for virtual attention of queries Case: Postgraduate School of the UNMSM

Sánchez-Tello,

Vega-Huerta,

De-La-Cruz-Vdev

et al. 2023

Proceedings of the 21th LACCEI International Multi-Conference for Engineering, Education and Technology (LACCEI 2023): “Leaders

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to-face attention to those interested in making consultations regarding postgraduate studies was simply impossible considering that, due to the sanitary measures taken during the pandemic, the university closed its doors. The alternatives to continue attending could have been the implementation of the telephone consultation service or text messages, however, these alternatives had drawbacks such as: a high percentage of unattended queries, the fact that many users wished to make queries after regular working hours, the existence of frequent queries and the delay in responses; therefore, in the present research a chatbot has been implemented to ensure the virtual attention of queries from the public providing an online attention, with adequate answers and 24 hours a day. Optimally satisfying the doubts of students and those interested in postgraduate studies allows reaching a greater number of applicants to the various specialties offered by the DGEP. As a result, 100% of the queries have been attended in a timely manner, reducing the average time of attention per use.

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Section: B Research Backgroundmentioning

confidence: 99%

Implementation of a chatbot for virtual attention of queries Case: Postgraduate School of the UNMSM

Sánchez-Tello,

Vega-Huerta,

De-La-Cruz-Vdev

et al. 2023

Proceedings of the 21th LACCEI International Multi-Conference for Engineering, Education and Technology (LACCEI 2023): “Leaders

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“…According to [8], the lack of technological tools such as online support tools for students, both academic and psychological and everything related to the digital environment, generates impotence in students becomes a key factor of dropout.…”

Section: Student Dropoutmentioning

confidence: 99%

Intelligent System to Predict University Students Dropout

et al. 2022

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The objective of this research is to reduce the dropout rate of students in the Faculty of Systems Engineering and Informatics of the Universidad Nacional Mayor de San Marcos – FISI-UNMSM, through the implementation of an intelligent system with a data mining approach and the autonomous learning algorithm (decision trees) that predicts which students are at risk of dropping out. It was developed in Python and the free software Weka, for this purpose student data was collected from 2014 to 2020. This solution increases the availability and the level of satisfaction of the faculty; in the learning process, an accuracy percentage of 90.34% and precision of 95.91% was obtained, so the data mining model is considered valid. In addition, it was found that the variables that most influenced students in making the decision to abandon their studies were the historical weighted average, the weighted average of the last cycle and the number of credits passed.

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“…Likewise, in online university education, dropout is due to previous academic performance, age, gender, personal circumstances, and self-learning and online learning skills (Orellana et al, 2020). In addition, the lack of technological tools, such as online support tools for students, both academic and psychological, and everything related to the digital environment, generates helplessness in students, becoming a key dropout factor (Saldarriaga et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Post-pandemic psychosocial variables affecting academic dropout in a sample of Chilean higher-education students

Martínez-Líbano,

Yeomans-Cabrera

2023

Front. Educ.

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IntroductionUniversity dropouts are a problem in the Chilean higher education system, which causes psychosocial and economic damage and requires further studies to understand it comprehensively. This study aimed to determine the psychosocial variables influencing the risk of dropping out of the higher education system in a sample of Chilean university students post-pandemic.MethodsWith a sample of 655 students from the Chilean higher education system and with a cross-sectional study design taken in November 2022, a questionnaire was applied with sociodemographic and other variables of interest, the Depression, Anxiety and Stress Scale DASS-21, the EAC-19 Coronavirus Affect Scale, the ECE Emotional Exhaustion Scale; the Okasha Suicide Scale, and the Insomnia Severity Index (ISI). We performed descriptive, bivariate, and multiple logistic regression analyses through SPSS version 25. Variables with a value of p <0.05 in the final model were declared statistically significant. Odds ratios (OR) were adjusted to 95% confidence intervals (95% CI), which were used to determine the independent predictor variables.ResultsSignificant variables for the risk of dropping out of higher education were: failing four or more courses [AOR = 3.434; 95% CI: 1.272, 9.269], having depressive symptoms [AOR = 1.857; 95% CI: 1.214, 2.839], having suicidal ideation and thoughts [AOR = 2.169; 95% CI: 1.509, 3.118], having clinical insomnia [AOR = 2.024; 95% CI: 1.400, 2.927], low parental support [AOR = 1.459; 95% CI: 1.029, 2.069], impaired performance during the pandemic [AOR = 1.882; 95% CI: 1.317, 2.690], and impaired socioeconomic status during the pandemic [AOR = 1.649; 95% CI: 1.153, 2.357].ConclusionChilean higher education institutions should pay attention to the risk factors resulting from this research, such as students with more than four failed courses during their career, depressive symptoms, suicidal thoughts, clinical insomnia, low parental support, and affectation in performance and socioeconomic level during the pandemic, which could contribute to improving academic retention indicators.

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Academic approach about E-learning modules from the teacher/student perspective at the National University Mayor de San Marcos, Lima-Perú

Cited by 6 publications

References 6 publications

Implementation of a chatbot for virtual attention of queries Case: Postgraduate School of the UNMSM

Implementation of a chatbot for virtual attention of queries Case: Postgraduate School of the UNMSM

Intelligent System to Predict University Students Dropout

Post-pandemic psychosocial variables affecting academic dropout in a sample of Chilean higher-education students

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