Contribución del E-Learning al desempeño académico en la educación superior años 2016 al 2020

La presente investigación tuvo como objetivo general determinar como el e-learning contribuye el desempeño académico en la educación superior. Se utilizó la metodología de revisión sistemática, mediante el método Cochrane, la población estuvo compuesta por los criterios de búsqueda (e-learning, desempeño académico y la relación de estas variables) así como los repositorios indexados entre los que destacaron Science Direct, Scielo, ResearchGate, Redalyc, Google académico, Alicia Concytec entre otros. Los resultados de la revisión nos permiten concluir: se encontró 10 investigaciones Correlacional es (29%), 6 Cuasi Experimental es (18%), 14 Descriptivo simple (41%), 3 Revisión Sistemática (9%) y 1 Pre experimental (3%). Todas ellas han permitido hacer una revisión del estado actual de conocimiento de las variables y su relación, así como verificar empíricamente a través de los diseños metodológicos ya descritos que hay una muy significativa relación entre el e-learning y el rendimiento académico. Sobre la cualidad de las variables y naturaleza holística, 13% fueron artículos de tipo cualitativos. Por lo que se logró demostrar la contribución del e-learning al desempeño académico en la educación superior desde criterios cualitativos y cuantitativos

Development of a secure multi-factor authentication algorithm for mobile money applications

A Thesis Submitted in Fulfillment of the Requirements for the Degree of Doctor of Philosophy in Information and Communication Science and Engineering of the Nelson Mandela African Institution of Science and TechnologyWith the evolution of industry 4.0, financial technologies have become paramount and mobile money as one of the financial technologies has immensely contributed to improving financial inclusion among the unbanked population. Several mobile money schemes were developed but, they suffered severe authentication security challenges since they implemented two-factor authentication. This study focused on developing a secure multi-factor authentication (MFA) algorithm for mobile money applications. It uses personal identification numbers, one-time passwords, biometric fingerprints, and quick response codes to authenticate and authorize mobile money subscribers. Secure hash algorithm-256, Rivest-Shamir-Adleman encryption, and Fernet encryption were used to secure the authentication factors, confidential financial information and data before transmission to the remote databases. A literature review, survey, evolutionary prototyping model, and heuristic evaluation and usability testing methods were used to identify authentication issues, develop prototypes of native genuine mobile money (G-MoMo) applications, and identify usability issues with the interface designs and ascertain their usability, respectively. The results of the review grouped the threat models into attacks against privacy, authentication, confidentiality, integrity, and availability. The survey identified authentication attacks, identity theft, phishing attacks, and PIN sharing as the key mobile money systems’ security issues. The researcher designed a secure MFA algorithm for mobile money applications and developed three native G-MoMo applications to implement the designed algorithm to prove the feasibility of the algorithm and that it provided robust security. The algorithm was resilient to non-repudiation, ensured strong authentication security, data confidentiality, integrity, privacy, and user anonymity, was highly effective against several attacks but had high communication overhead and computational costs. Nevertheless, the heuristic evaluation results showed that the G-MoMo applications’ interface designs lacked forward navigation buttons, uniformity in the applications’ menu titles, search fields, actions needed for recovery, and help and documentation. Similarly, the usability testing revealed that they were easy to learn, effective, efficient, memorable, with few errors, subscriber satisfaction, easy to use, aesthetic, easy to integrate, and understandable. Implementing a secure mobile money authentication and authorisation by combining multiple factors which are securely stored helps mobile money subscribers and other stakeholders to have trust in the developed native G-MoMo applications