Le développement à l'ère du numérique pourrait devenir très complexe alors que les données et les informations disponibles sont en "obésité" croissante. L'information provient du monde entier et il est nécessaire de l’adapter pour telle ou telle région. C’est pourquoi il est important de pouvoir filtrer l'information. Dans les pays en développement, beaucoup d'internautes considèrent Internet comme le media social (Surman, 2017) alors que beaucoup de jeunes des pays développés sont incapables de distinguer contenus promotionnels, articles ou annonces de leurs résultats de recherches (Shellenbarger, 2016). Comment filtrer les données et les informations nécessaires, en particulier dans les pays en développement ? L'utilisation de moteurs par grappes et d’index de bases de données d'enquêtes méthodologiques via le Web 2.0 (Jacques et al, 2009) pourrait être une alternative pour les pays en développement, en particulier pour ce qui concerne les coûts, ainsi que l’utilisation de la documentation de recherche gouvernementale, en particulier française et américaine, comme celle d’organisations utilisant le numérique comme Fablab, Rempli, Lilan, NREN, Mozilla Foundation, Code.org, AP4DE. La collaboration entre chercheurs pour une technologie appropriée serait possible par-delà les mers (en particulier en Indonésie), par exemple l'expérience Long ranch Wifi au Venezuela qui relie des points distants de 237 miles. L'apprentissage de l'information numérique pourrait commencer dans l'enseignement supérieur, tandis que le paradigme de l'apprentissage doit préparer les contenus et les infrastructures. L’amélioration des logiciels Epsbed et Pdpt du Ministère de l’Education Supérieure de l’Indonésie (Dikti) devrait permettre d’accomplir le programme PHK A-1 et d’établir un nouveau programme d'études à l’Université de Manado en utilisant l'intelligence économique (programme de coopération avec AMU). Dans l’apprentissage s’applique cette maxime de sagesse française : si vous voulez voir plus loin, aller plus haut. Globalement liée aux TIC, l'infrastructure SEA-ME-WE 5 relie l’Indonésie et la France par un réseau de fibre optique. / Developing in this digital era could be highly complex while the data and information available are in “obesity” ever. Information comes from all over the world and the need to apply in the region. In this case, it is important to filter the information; situation in developing country many internet user think that social media is the internet (Surman, 2017) and many young people in developed country cannot distinguished promotional content from news article or ads from search result (Shellenbarger, 2016). How to filter the needed data and information especially in developing country? Using Clustering Engine and Methodology Survey Database Index via Web 2.0 (Jacques et al, 2009) could be alternative way for developing country, especially from the cost side. Research Documentation from government like Gouvernement Francaise and US are no doubt, and also learn from initiative organization that based on digital like Fablab, Rempli, Lilan, NREN, Mozilla Foundation, Code.org, AP4DE. Collaboration between researchers for propitiate technology are very possible across the sea (especially in Indonesia), for example the experiment long ranch Wifi in Venezuela that connect 237 miles distance. Digital information learning could begin at higher education while the paradigm in learning needs to prepare well the content and also infrastructures. Win the PHK A-1 and established the new study program at Unima using Competitive Intelligence (program cooperate with AMU), must fix the Epsbed, Pdpt report to Dikti. In learning, wise French word: si vous voulez voir plus loin, aller plus haut. Globally related to ICT, SEA-ME-WE 5 infrastructure, connect fiber optic from Indonesia to French.

The rapid growth of universities in the Least Developing Countries (LDCs) is aimed at enhancing access to tertiary education, which has resulted in a sharp increase in the enrolment rate. However, the quantitative increase has been marred with a correspondingly continuous decline in the quality of education. This is attributed to a wide range of limiting factors mainly classified as institutional problems. Some of these problems include a shortage of resources, limited skills and incompetent human capital, lack of ICT infrastructure, and the ineffective use of existing ICT resources. These problems and others have adversely affected how national education and research network can improve research output and quality of education. In this study, a survey, in the form of an exploratory quantitative research design is used. A descriptive non-experimental quantitative approach was also chosen, and a questionnaire was administered to approximately one hundred and seventy-two (172) participants drawn from twenty-nine (29) Ethiopian Public Universities. The results of the analysis show that the study variables namely NREN service for education, EthERNet, electronic device and research output have a significant and positive impact on the Quality of Education (QE) to differing degrees. Also, the study variables such as NREN service for research, high-performance computing, and remote computing facilities indicated that they had a significant and positive impact on Research Output (RO) to differing degrees. The study explored the impact of EthERNet in improving the quality of education and research output by examining the existing network infrastructure and NREN services. The study employed the use of the Actor-Network Theory (ANT) to assess the existing network infrastructure and NREN services to determine that a reliable network can improve the quality of education and research output. Besides, Structural Equation Model (SEM) was used to identify the positive and negative factors that impact on the roles, relationships, and formation of quality of education and research output. Furthermore, a three-step design science approach was applied to propose and justify the theoretical framework, which is used as a base to develop a service portfolio and roadmap conceived to design the required NREN service for EthERNet. This research contributed to the body of knowledge by finding the missing link between the quality of education and research outputs. From a theoretical perspective, the research contributed a theoretical framework by developing the construct and their measures that can be used in assessing the adoption and usage of technology. Furthermore, the study contributes to the literature by demonstrating an analytical process which could be used as a guide for future NREN service requirement to improve the quality of education and research output with the existing findings being used as a reference point. / School of Computing / Ph. D. (Computer Science)