Designing a model for evaluating the effectiveness of e-learning based on generational differences

The goal of the current study is to design a model for evaluating the effectiveness of e-learning based on multiple generations of employees.

This research is considered applied in terms of its objective and falls under the category of mixed research in terms of typology of research with a qualitative and quantitative approach within inductive comparative paradigm. Identification of components through semi-structured interviews based on theoretical saturation was conducted with 14 professors using MAXQDA software. The validity and reliability of the interviews were confirmed, respectively, through the method of relative content validity and Cohen's Kappa index. Also, in the quantitative section, in order to model human capital development, the opinions of 28 human resources managers from the studied organization were initially examined using a non-probability convenience sampling method. Subsequently, the findings were made available to the statistical population.

The coding of interviews led to the identification of 20 key variables, all of which have one or more relationships with other model variables. Furthermore, modeling the identified factors through interpretative structural modeling and Micmac analysis resulted in the formation of eleven levels.

The results of this research indicated that effective training courses through electronic learning can be conducted for various generations of employees. Additionally, these results can be utilized by the managers and senior experts of the studied organization who are seeking more effective ways of electronic learning based on the perspectives of different generations of employees.