Resultados de búsqueda - Reflective learning.

Can differences in individual learning explain patterns of technology adoption? Evidence on heterogeneous learning patterns and hybrid rice adoption in Bihar, India por Gars, Jared, Ward, Patrick S.

“…Using specially-designed experiments conducted as part of a primary survey in the field, we are able to identify which of four broad learning heuristics most accurately reflects individuals’ information processing strategies. …”
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Social learning in practice: A review of lessons, impacts and tools for climate change por Harvey, Blane, Ensor, Jonathan, Garside, Ben, Woodend, John, Naess, Lars Otto, Carlile, Liz

“…This paper has sought to contribute to reflections on the role that social learning might play and the impacts it might have in supporting decision making on climate change, agriculture and food security. …”
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AID-I Great Lakes Regional Learning Event por International Institute of Tropical Agriculture

“…We’re thrilled to announce we’ve attained an exciting milestone – AID-I Great Lakes is in late mid-life, at all of 1.5 years old! To celebrate and reflect on our journey thus far, we joined forces with the AID-I Southern Africa Hub for a dynamic Regional Learning Event in Lusaka, Zambia from 25th to 27th June 2024.…”
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AID-I Great Lakes Regional Learning Event por International Institute of Tropical Agriculture

“…We’re thrilled to announce we’ve attained an exciting milestone – AID-I Great Lakes is in late mid-life, at all of 1.5 years old! To celebrate and reflect on our journey thus far, we joined forces with the AID-I Southern Africa Hub for a dynamic Regional Learning Event in Lusaka, Zambia from 25th to 27th June 2024.…”
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Overcoming barriers to social inclusion in agricultural intensification: reflections on a transdisciplinary community development project from India and Bangladesh por Roth, Christian H., Cosijn, Michaela, Carter, Lucy, Chakraborty, Arnab, Das, Mahanambrota, Hamilton, Serena H., Jana, Alak Kumar, Lim-Camacho, Lilly, Majumdar, Subrata, Merritt, Wendy S., Mishra, Pulak, Mishra, Rajeshwar, Nidumolu, Uday, Rahman, Md Wakilur, Ray, Dhananjay, Williams, Liana J.

“…This became the foundational framework which guided the definition and undertaking of all subsequent activities – including a rethink of methods and concepts to develop tools and frameworks fit for purpose and local context, and inculcating a culture of reflexivity and mutual learning in the project. We show that creating the conditions for true participation, where project beneficiaries and non-government organizations are equal partners alongside researchers and government actors, and for co-learning using the ECE framework, sets the foundations for increased and potentially enduring social inclusion in agricultural intensification.…”
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Designing STIBs and ToC Frameworks for Learning Labs por Jain, Harsha, Chadha, Deepali, Gartaula, Hom N., Mukhopadhyay, Prama, Goel, Kritika, Dwevedi, Anusha, Shivhare, Richa, Puskur, Ranjitha

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Experiential learning for groundwater governance in India study data por Meinzen-Dick, Ruth S., Falk, Thomas, Priyadarshini, Pratiti, Sanil, Richu, Duche, Vishwambhar, ElDidi, Hagar, Kosec, Katrina, Zhang, Wei, Melesse, Mequanint B., Carrillo, Lucia, Ferguson, Nathaniel, Shastri, Seema Vigneshwar, Reddy, Hemalatha, Foundation for Ecological Security Team

“…This data article presents a dataset developed to support a rigorous impact assessment of an experiential learning intervention aimed at enhancing groundwater governance and agricultural water management in rural Indian communities. …”
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Application of multi-layer neural network and hyperspectral reflectance in genome-wide association study for grain yield in bread wheat por Fei, Shuaipeng, Hassan, Muhammad Adeel, Yonggui Xiao, Rasheed, Awais, Xianchun Xia, Ma, Yuntao, Luping Fu, Zhen Chen, He Zhonghu

“…GY was predicted by using full bands reflectance as input of multi-layer neural network. …”
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Games for experiential learning: Triggering collective changes in commons management por Falk, Thomas, Zhang, Wei, Meinzen-Dick, Ruth S., Bartels, Lara, Sanil, Richu, Priyadarshini, Pratiti, Soliev, Ilkhom

“…This includes participants of the experiential learning who must be able to relate the game to their real life. …”
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Implementing Cloud Computing for the Digital Mapping of Agricultural Soil Properties from High Resolution UAV Multispectral Imagery por Pizarro, S., Pricope, N.G., Figueroa, D., Carbajal, C., Quispe, M., Vera, J., Alejandro, L., Achallma, L., Gonzalez, I., Salazar, W., Loayza, H., Cruz, J., Arbizu, C.I.

“…To overcome these challenges, cloud-based solutions such as Google Earth Engine (GEE) have been used to analyze complex data with machine learning algorithms. In this study, we explored the feasibility of designing and implementing a digital soil mapping approach in the GEE platform using high-resolution reflectance imagery derived from a thermal infrared and multispectral camera Altum (MicaSense, Seattle, WA, USA). …”
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Innovation histories: A method from learning from experience por Douthwaite, Boru, Ashby, Jacqueline A.

“…The process of preparing this history stimulates discussion, reflection and learning amongst stakeholders. Subsequent planning can build on the lessons learned, formulate a shared vision and act as a catalyst for change. …”
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CCAFS Climate-Smart Agriculture Learning Platform, South Asia por CGIAR Research Program on Climate Change, Agriculture and Food Security

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Lessons learned and next steps for the CGIAR Initiative on One Health por Lam, Steven, Patel, Ekta, Hoffmann, Vivian, Bett, Bernard K., Fèvre, Eric M., Moodley, Arshnee, Rheman, S., Mateo-Sagasta, J., Hung Nguyen-Viet

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AICCRA CSA-Bundle two Lesson Learned Workshop Report por Mudege, Netsayi, Kanyembo, Henry, Sichone, Mercy, Kakwasha, Keagan, Chileya, Agness, Muzungaire, Lizzy

“…The main aim of the workshop was to reflect on the experiences, successes, challenges and outcomes of the project to identify valuable insights and takeaways to inform future work. …”
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From the ground up: Experiential learning strengthens water governance por Meinzen-Dick, Ruth S., Falk, Thomas, ElDidi, Hagar, Kosec, Katrina, Zhang, Wei, Carrillo, Lucia, Priyadarshini, Pratiti, Duche, Vishwambhar, Melesse, Mequanint B.

“…After the final round of a groundwater learning game in a village in India, the buzz of discussion and decision-making among farmers settled into reflection during the post-game community debriefing meeting. …”
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Getting ahead of the game: Experiential learning for groundwater governance in Ethiopia por ElDidi, Hagar, Zhang, Wei, Blackmore, Ivy, Gelaw, Fekadu, De Petris, Caterina, Teka, Natnael, Yimam, Seid, Mekonnen, Dawit Kelemework, Ringler, Claudia, Meinzen-Dick, Ruth S.

“…The game was accompanied by subsequent community-wide debriefing in each village to reflect on the experience and lessons learned, which stimulated discussions about groundwater governance. …”
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Getting ahead of the game: Experiential learning for groundwater governance in Ethiopia por ElDidi, Hagar, Zhang, Wei, Gelaw, Fekadu, Petris, Caterina de, Blackmore, Ivy, Teka, Natnael, Yimam, Seid, Mekonnen, Dawit Kelemework, Ringler, Claudia, Meinzen-Dick, Ruth S.

“…The groundwater game, adapted from Meinzen-Dick et al. (2016 and 2018), was played in 15 villages, accompanied by community-wide debriefing discussions in each village after the game to reflect on the process and lessons learned, and to stimulate discussions around groundwater governance. …”
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Culture of impact in agricultural research organisations: What for and how? por Ferré, Marie, Blundo-Canto, Genowefa, Stachetti Rodrigues, Geraldo, Ramírez-Gómez, María-Margarita, Vedovoto, Graciela Luzia, Agudelo-Chocontá, Beatriz-Elena, Marques, Daniela Vieira, Flores, Roberto Manolio Valladão, Rodríguez-Borray, Gonzalo-Alfredo, de Souza, Mirian Oliveira, Goulet, Frédéric, Vásquez-Urriago, Ángela-Rocío, Sánchez-Lozano, Juliana-Ivonne, Pinto, Daniela Maciel, Zambrano-Moreno, Gregorio-Salomón, Londoño-Arias, María-Aidé, Zapata-Tamayo, Cristóbal-Alfonso, de Romémont, Aurelle

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Foodgravity: understand food flows using classic gravity model and explainable artificial intelligence techniques por Dusabe, B.

“…To untangle this complexity, this research combined concepts of classic gravity model with machine learning techniques, relying on Explainable Artificial Intelligence techniques (xAI) to enhance the transparency of the predictive models. …”
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Emergency seed aid In Kenya: a case study of lessons learned por Sperling, L.

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