Evaluation of Trained Intellectual Capital Efficacy: A Literature Review and Its Limitations
Jessica Uribe Navarrete*
Universidad de Salamanca, Spain-Chile
*Corresponding Author: Jessica Uribe Navarrete, Universidad de Salamanca, Spain-Chile.
Published: September 01, 2023
DOI: 10.55162/MCET.05.163
Abstract
This investigation aims to analyze models and methods for evaluating e-learning format training and education. It addresses evaluation approaches, the impact of authors in related research, and aspects to consider in future studies to enhance the efficacy of e-learning programs.
The study employs a mixed-method approach, combining quantitative and qualitative analyses. A comprehensive review is conducted to identify models and evaluation methods used in e-learning training. Data from empirical and theoretical studies, as well as author contributions, are analyzed to identify patterns and gaps.
Interviews with e-learning experts will provide qualitative insights into potential improvements for future research. Initial explorations were undertaken to identify search tactics, keywords, and data sources, spanning 2012-2021 in WOS, and focusing on 2012, 2017, and 2021 in Scopus. Document selection for review and analysis is based on inclusion and quality criteria.
Results highlight the use of multidimensional models, including pre and post-tests, cross-sectional evaluation at various points, diverse instruments (Likert Scale, Focus Groups, Interviews), and self-efficacy.
The primary limitations concern the lack of long-term follow-up, raising questions about result stability. A longitudinal study is suggested. The research aims to provide insights into e-learning training evaluation and guide future investigations in this domain.
Keywords: Online Training; Educational Evaluation; Training Methodology; E-Learning; Training Effectiveness