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Item type:Publication, Incidence of socioeconomic school segregation on academic performance. A study from Peru(Arizona State University, 2021-01-01)El objetivo del estudio fue estimar la incidencia de la segregación por nivel socioeconómico escolar en el rendimiento de los alumnos. Se realizó una explotación de los datos de la Evaluación Censal de Estudiantes (ECE) del Ministerio de Educación de Perú, a través de Modelos Multinivel con tres niveles de análisis (región, escuela y estudiante). Para estimar la magnitud de la segregación en cada escuela se utilizó el índice de Raíz Cuadrada de Hutchens. La muestra estuvo conformada por los 502.521 estudiantes de 2º de Secundaria de 12.862 escuelas del país. Los resultados evidencian que la segregación escolar incide de forma clara, directa y medible al rendimiento en las tres áreas analizadas, e incluso contribuye a explicar en mayor medida que el nivel socioeconómico promedio de la escuela. Asimismo, la concentración de estudiantes con familias de menor nivel socioeconómico en la escuela hace que el rendimiento sea menor en las tres áreas; mientras que la concentración de estudiantes con familias de mayor nivel socioeconómico hace que el rendimiento mejore, también en las tres áreas. Este estudio aporta sólidas evidencias de cómo la segregación socioeconómica escolar afecta la eficiencia del sistema educativo, así como la igualdad de oportunidades educativas para todos. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Academic performance and educational factors of university students enrolled in a virtual environment education program: influence of teaching variables(Centro de Información Tecnológica, 2021-06-01)El objetivo de esta investigación es explorar la relación de factores educativos (estrategias y estilos de aprendizaje) y competencias discentes genéricas (trabajo autónomo, cooperativo y competencia digital), mediados por dos variables docentes (competencia digital y estilo de enseñanza), en el rendimiento académico de los estudiantes en el entorno virtual de una universidad privada de Perú. Este es un estudio analítico-transversal, con una muestra de 216 estudiantes y 9 docentes de II a X ciclo del programa de educación. Se encontró que el estilo de aprendizaje, la competencia digital y el trabajo cooperativo fueron las variables con mayor peso. Los estilos de aprendizaje preferentes fueron el reflexivo y el activo; y, la estrategia más utilizada fue la búsqueda de selección. Como conclusión, se recomienda que los docentes continúen utilizando la plataforma digital y fortalezcan sus estilos de enseñanza, teniendo en cuenta el estilo de aprendizaje de los estudiantes, para facilitar un mayor rendimiento académico. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Academic performance of micro-entrepreneurs in business training programs: evidence from the application of an i4.0 educational system during the COVID-19 pandemic(Belgrade University, 2021-01-01)There is limited information on the academic performance obtained by teaching through an i4.0 educational system. Therefore, this article aims to close the gap by presenting the existing literature and the quantitative results obtained from the evaluations and surveys made to micro-entrepreneurs with little knowledge of digital technologies, and in many cases with different levels of education, who have been trained during the COVID-19 pandemic, between August and December 2020. The business training program used an i4.0 educational system based on IoT, the cloud, social networks and Web services. The results showed that the participants achieved a satisfactory academic performance and met the objectives of the training program in business-related topics. Likewise, the results established that the academic performance of the student in a business training program through an i4.0 system is not directly related to the student's previous educational level. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Análisis predictivo del desempeño académico en niños peruanos: el rol del control intencional y el agrado hacia la escuela(Universidad de Almeria, 2022-09-01)Introduction. In Peru, there are few studies that include individual differences between stu-dents to explain their academic performance at the beginning of formal schooling. For that reason, the aim of the present study was to predict the perceived academic performance of a group of students based on the following variables: effortful control (EC) and school liking (SL). Method. A sample of 423 students, between 5 and 8 years old (M = 6.29, SD = 0.89), was gathered from public schools in socioeconomically disadvantaged areas in Lima. A total of 45 teachers gave information about their perceptions regarding the study variables in their re-spective students. Results. The hierarchical linear regression analysis results show that both effortful control and school liking are positive and significant predictors of perceived academic performance, even after controlling for students’ cognitive skills and their mothers’ educational level. Discussion and Conclusion. Possible explanations for these findings and their relevance in the Peruvian context are discussed - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Generative AI solutions for faculty and students: A review of literature and roadmap for future research(Informing Science Institute, 2024-01-01)Aim/Purpose This paper aims to address the gap in comprehensive, real-world applications of Generative Artificial Intelligence (GenAI) in education, particularly in higher education settings. Despite the evident potential of GenAI in transforming educational practices, there is a lack of consolidated knowledge about its practical effectiveness and real-world impact. Background This study addresses this gap by conducting a systematic literature review to collate and analyze real-life instances of GenAI applications in higher education, thus providing a nuanced understanding of its practical implementations and measurable outcomes. Methodology The paper utilizes a systematic literature review methodology, adopting the PRISMA approach complemented by a thematic analysis procedure to ensure a comprehensive and in-depth evaluation of the literature. It synthesizes information from relevant articles from 2022 to 2024, focusing on the applications of GenAI in higher education. This analysis covers various aspects, including research settings, analysis scales, data types, collection tools, and analytical methods. Contribution The paper contributes to the academic community by offering a comprehensive review of GenAI applications in education, highlighting the current precision level of these tools, and providing strategic recommendations for their effective use in academia. Furthermore, the research defines seven specific cases where Gen AI can be utilized as a reference for educational institutions in their adoption strategies. Findings Key findings include the versatility of GenAI in generating teaching materials, enhancing skill development, supporting student tasks, academic performance evaluation, feedback delivery, and its role as a virtual assistant and in research support. Recommendations for Practitioners Practitioners are advised to explore the integration of GenAI for diverse educational purposes, from content creation to student assessment, while being cognizant of its limitations and ethical considerations. Recommendations for Researchers Future research should focus on addressing the gaps identified, such as the implications of GenAI in research roles, its application in various disciplines, and the exploration of newly developed AI tools tailored to specific educational needs. Impact on Society The findings of this paper highlight the potential of GenAI in revolutionizing the educational sector, offering personalized learning experiences, and significantly influencing teaching methodologies and student engagement, but it also reveals significant deficiencies of Generative AI, known as hallucinations, which can impact the expected results. Future Research Subsequent research should explore the evolving capabilities of GenAI models, their impact on various academic disciplines, and the development of pedagogical strategies to optimize their use in education. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Hacer trampa en los exámenes: la actitud de alumnos universitarios según género, carrera y calificaciones(2024-10-22)El objetivo del estudio es conocer las diferencias en el comportamiento de los estudiantes universitarios hacia la deshonestidad académica, basados en género, carrera y rendimiento académico. Se utilizaron tablas de contingencia y chi-cuadrado para analizar los datos. El estudio incluyó hombres y mujeres estudiantes de administración de empresas y de contabilidad. Los resultados muestran diferencias significativas entre género y también entre las carreras. Las mujeres muestran menos tolerancia hacia la trampa en los exámenes mientras que los estudiantes de contabilidad en la mayoría de los casos demostraron tener menos tolerancia hacia la trampa que sus colegas de administración. No se hallaron diferencias significativas entre estudiantes de diferente rendimiento académico. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, The relationship between perceived learning, academic performance and academic engagement in virtual education for university students(Asian Online Journal Publishing Group, 2024-01-01)This study aimed to determine whether the three dimensions of academic engagement (cognitive, emotional and behavioral) were positively associated with perceived learning and academic performance. The participants were 301 university students from Lima. Structural equation models were used to test the proposed theoretical relationship between the variables. The results indicated that the model showed satisfactory fit indices (CFI = 0.956, TLI = 0.949, RMSEA = 0.043, SRMR = 0.062). Perceived learning was found to be predicted by cognitive engagement (β = 0.447, p < 0.01) and emotional engagement (β = 0.230, p < 0.05). However, there was no statistically significant relationship between behavioral engagement and perceived learning (β = 0.035, p = 0.840). On the other hand, academic performance was predicted by behavioral engagement (β = 0.393, p < 0.05) but not by cognitive (β = -0.164, p = 0.301) or emotional (β = 0.001, p = 0.991) engagement. The study highlights the importance of fostering academic engagement in university students to enhance both their academic performance and perceived learning. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Use of Nearpod and Blum Modeling to Strengthen the Academic Performance of University Students in Mathematics(Richtmann Publishing Ltd, 2023-09-01)The method used by educators at the higher level is not usually the most appropriate, which usually affects the learning process of students and, in turn, their academic performance. The main of this study is to demonstrate that Blum's modeling and the use of the Nearpod strengthen academic performance in the mathematics course in university students. Method. applied typology, quantifiable approach, explanatory level and pre-experimental design, likewise, the sample consisted of 30 university students, to whom a questionnaire created and validated by the researcher was applied. RESULTS. they indicate that Blum's modeling and the use of the Nearpod strengthen academic performance (p=0.000<0.05). Discussion. Using the Nearpod as a tool to improve academic performance is effective, because it presents characteristics that motivate the student to learn. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Relationship Between Technology Acceptance Model, Self-Regulation Strategies, and Academic Self-Efficacy with Academic Performance and Perceived Learning Among College Students During Remote Education(Frontiers Media SA, 2023-01-01)Introduction: The aim of this study was to examine the relationship between the technology acceptance model, self-regulation strategies, and academic self-efficacy with academic performance and perceived learning among college students during remote education. Methods: The participants were 301 university students from Lima. Structural equation model was used to test the proposed theoretical relationships between the variables. On the one hand, the study sought to explore the relationship between academic self-efficacy and self-regulation strategies with the technology acceptance model. On the other hand, it sought to determine whether the three dimensions of the technology acceptance model are positively related to perceived learning and academic performance. Results: The results suggest the importance of improving psychological variables such as self-efficacy and self-regulation strategies to improve the acceptance of technology, which would also improve the academic performance and perceived learning of students in a virtual environment. Discussion: The discussion highlights the significance of self-efficacy and metacognitive strategies in influencing technology perception and attitudes, ultimately impacting perceived learning and academic performance in virtual education. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Pedagogical Strategies and Academic Performance in Theses Seminars: A Study in an Undergraduate Management Program in Peru(Babeș-Bolyai University, 2023-03-20)Purpose Writing a thesis is a difficult endeavor for undergraduate students, especially in management careers, due to the highly practical approach of the discipline. Students often find difficult to understand and apply research methods in concrete research projects, so a proper set of teaching-learning strategies is critical. This study aimed to examine the effect of these strategies on the academic performance of students in two research seminars in an undergraduate management program in Peru. Design/methodology/approach The research adopted a mixed approach. The quantitative component included a survey of 249 students in both seminars, while the qualitative one involved only some of the students using three focus groups. The corresponding data analysis included stepwise linear regression models and content analysis. Findings The study found that a clear course structure, adequate research methods literature, good advisor–student communication and goal planning and achievement were the key determinants of the students' final grades. Originality/value This research fills a gap in previous studies on the subject by including a broader set of strategies and by statistically estimating the strategies' effects on academic performance.