Abstract
Purpose: Present the advances of a research project whose main goal is the construction and empirical validation of a structural equations model to explain the students’ academic performance in Administration distance degree careers of the Universidad de la Defensa Nacional (Argentina).
 Methodology/Approach: Were selected and adapted indicators for each latent variable identified at the theorical model. For selection in some cases we resort to measurable variables in objective units and in other cases to subjective variables measurement scales validated by previous research. For adaptation, we consider the population characteristics under study and the distance education model particularly applied in the University.
 Findings: A measurement model formulation was obtained which, linked to the causal model proposed as a result of bibliographic background integration, allowed us to reach a complete structural equations model specification with six latent variables, five endogenous and one exogenous.
 Research Limitation/implication: Consider that the observed variables selected are the ones that best combine to identify the hypothesized constructs.
 Originality/Value of paper: Learning in virtual environments is the main endogenous latent variable of the model, explained by previous knowledge, motivation, digital skills, self-regulation and interaction processes.
Highlights
Academic performance, called academic achievement, is an indicator of educational success or failure
Several authors highlight the multi-causal characteristic of academic performance in universities and that it is a synthetic result of educational processes, especially the learning process, where converge the effects of numerous personal, social, institutional variables and their interrelationships (Garbanzo, 2007; Gómez Sánchez et al, 2011; Rojas, 2013)
In this paper we present advances of a research project whose general objective is the construction and empirical validation of a structural equation modeling with predictive capacity to explain the students learning and performance in Administration distance degree careers of the Universidad de la Defensa Nacional (UNDEF) in Argentina
Summary
Called academic achievement, is an indicator of educational success or failure. In the particular case of contemporary distance education, e-learning is conceived as an active and complex process where the student builds his knowledge based on previous knowledge and interacting with other people in virtual environments This implies the application of selfsufficiency strategies, social construction of meanings and an important affective-motivational component, responsible for maintaining and controlling the continuous execution of the tasks and activities required in the study (Peñalosa Castro, 2010). In this paper we present advances of a research project whose general objective is the construction and empirical validation of a structural equation modeling with predictive capacity to explain the students learning and performance in Administration distance degree careers of the Universidad de la Defensa Nacional (UNDEF) in Argentina. We present the results and the conclusions, followed by the bibliographic references
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