PERCEPTIONS AND EXPECTATIONS OF AFRICAN HIGHER EDUCATION STUDENTS ABOUT BIOECONOMY
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Résumé
Bioeconomy offers new approaches to dealing with environmental challenges, such as replacing fossil fuels with sustainable and renewable resources and fuels. So, knowing how African higher education students perceive Bioeconomy is important. To achieve this objective, an exploratory and quantitative study based on a convenience sample of 407 students was conducted. The data was collected using an adapted questionnaire and analyzed using descriptive statistics. The majority of students came from rural areas (88.0%), were female (56.’%), and were between 18 and 22 years old (52.3%). Students favor replacing fossil resources with renewable ones so that the transition to a sustainable Bioeconomy can be achieved (89.2%). The three main measures to be implemented if students were responsible for preparing a transformation plan for the Bioeconomy, are: (1) improvement of knowledge and information about Bioeconomy; (2) improving the participation of the population and companies in the transformation process; (3) developing of recycling and reuse of materials. Furthermore, the majority of students consider that the transition to the Bioeconomy could reduce the amount of plastic waste in the environment and oceans (67.1%), the loss of natural environments (55.4%), the emission of carbon (54.1%), species extinction (52.6%) and particle pollution (52.3%). Regarding students' perceptions about the beneficial contributions that Bioeconomy can provide, in economic, social, and environmental terms, students believe that Bioeconomy is capable of promoting major improvements, namely, creating new jobs (78.1%), achieving a more sustainable international development model (68.1%), improving access to new areas of research and education (64.6%), improving economic performance and regional and international competitiveness (63.6%), reducing dependence energy (58.7%) and ensuring the security and stability of the energy network (56.5%). This study also shows that students do not consider themselves adequately informed about pertinent topics related to the Bioeconomy since only around 27% reported being quite familiar with the sustainable development objectives defined by the United Nations. Furthermore, topics such as genetic engineering in agriculture, the cultivation of energy crops, and the digitalization of agriculture are only familiar to just over 10% of respondents. When asked which sources of information about the Bioeconomy they trust most, environmental and farmer organizations stand out positively, and national and local governments negatively. Regarding pro-environmental actions carried out by students in the last 12 months, the majority highlights the conscious purchases of regional food products (63.4%), neglecting other types of equally important actions, namely, the change in mobility behavior, the abandonment of packaged products, the use of renewable energy, the purchase of green products, among others. Finally, concerning interests and values, students believe that it is possible, by managing resources well, to avoid environmental catastrophes even though they realize that the environment is very fragile and that any human interference can result in devastation. Perhaps for this reason, the majority are not defenders of the free market and economic growth at the expense of the environment. There are gaps in understanding the advantages, visions, and topics associated with the Bioeconomy.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle