Artículos de revistas

URI permanente para esta colecciónhttps://hdl.handle.net/20.500.12640/4067

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    ÍtemAcceso Abierto
    A prediction model based on data mining to forecast the expectations of passing from a college student
    (ESRSA Publications Pvt. Ltd., 2016-10-26) Acosta de La Cruz, Pedro R.; Flores Salinas, José A.; Meza Pinto, Miguel A.; Tineo Córdova, Freddy C.
    The present work has as objective to apply data mining techniques to develop a predictive model to forecast the chance of passing that will have a college student at the time of enrolling in a particular subject. Given that the academic record of the student can be known, and based on that information, we propose an Artificial Neural Network (ANN) that allows, using various configurations, to predict and assess our goal. The model has been applied to a compulsory subject of higher education of a University and given the results obtained. This model can be applied to any other subject analogous with satisfactory results.
  • Miniatura
    ÍtemAcceso Abierto
    An innovative way to teach comparative cultural theory: a descriptive study at a Peruvian university
    (Global Partners in Education, 2020-02-28) Olivos, Mariella; Tippin de Malpica, Stella
    One common problem Global Understanding (GU) instructors face is teaching students how to critically analyze the similarities and differences between cultures. Comparative cultural theorists like Geert Hofstede have provided frameworks that help students learn to process and categorize these similarities and differences, but their theories can often seem abstract and divorced from the practical life of 21st century students. However, Universidad ESAN in Lima, Peru has developed an experiential learning methodology to help students understand and apply comparative cultural theory, as well as use quantitative and qualitative research methods, experience data collection and analysis, and work together in international virtual teams. For the past three semesters, GU students at ESAN have been assigned the task of developing and applying an exploratory questionnaire based on one of Hofstede's cultural dimensions, teaching their GU partners in three other countries about their assigned dimension, helping those partners apply the questionnaire in their own countries and then comparatively analyzing the results together with their partners at an exploratory level. The result has been increased comprehension of comparative cultural theory, heightened interest in research and data collection and greater, more applicable experiences of mediated collaboration via virtual teams.
  • Miniatura
    ÍtemAcceso Abierto
    Personality traits that differentiate attendants of higher-education online courses
    (Italian e-Learning Association, 2017-05-29) León, Federico R.; Morales, Oswaldo; Vértiz, Hugo
    This study utilized the ten aspects of the Big Five personality system to detect differences in personality traits between attendants of higher education online courses and attendants of higher education face-to-face courses. Distance education theoreticians have formulated hypotheses on the personality traits that make the Autonomy, Connectedness, Diversity, and Openness attributes of the connectivist learning model attractive. 753 participants in executive extension courses of a Peruvian university in Lima (mean age = 34.62 years) filled-in an online questionnaire which included the Big Five Aspect Scales. Whereas none of the Big Five factors discriminated between attendants and non-attendants of online courses, the former emerged as significantly higher in Industriousness (an aspect of Conscientiousness) and lower in Orderliness (the second aspect of Conscientiousness) and Enthusiasm (an aspect of Extraversion) than the latter. Theoretical and practical implications of the findings are addressed and the conduct of confirmatory studies outside Peru and involving MOOCs is recommended.