Showing 7 results for Noorivandi
Volume 18, Issue 7 (Supplementary Issue - 2016)
Abstract
Computer-Supported Collaborative Learning (CSCL) is a new trend in educational sciences. This study investigates how knowledge sharing and transferring can be facilitated by using CSCL in a problem-solving setting. Intervention of research is education regarding Sustainable Water Resources Management (SWRM) by Computer-Supported Collaborative Learning (CSCL). The purpose of this research was to determine whether change of knowledge was accomplished after utilization of CSCL in agricultural MSc. and PhD. students of Science and Research Branch University, Ahwaz, Iran. Education by CSCL was accomplished in a two-week period. As a part of the experimental design, 173 university students were randomly assigned and divided to four groups. The first group with 43 students was labeled pretest-posttest treatment group (E). The second group, with 44 students, labeled pretest-posttest control group (C1), only received face to face education, which was known as the control group. Thus, we compared the effect of the treatment between the first and second group. The third group as the posttest-only treatment group (C2) received the CSCL, with 44 students, and the fourth group as posttest-only control group (C3) with 42 students did not receive the treatment. The results showed that there was significant difference between posttests knowledge score of C2 and C3, and E and C1. Also, there was a significant difference between pretest and posttest in the experimental group. This result indicated the impact of treatment (CSCL) on the knowledge level of students. In addition, F-test analysis showed there were significant differences among posttests in all groups.
Volume 23, Issue 6 (11-2021)
Abstract
The main purpose of this study was to identify strategies for adapting agricultural cooperatives to learning organization. Agricultural cooperatives are business organizations that fully examine all the economic, democratic and social dimensions of poverty reduction in rural areas simultaneously. This research is an exploratory research that was conducted in two parts: qualitative and quantitative. In the qualitative section, by holding several meetings with experts and through the method of brainstorming, the opportunities, threats, strengths and weaknesses for the adapting of the agricultural cooperative organization to learning organization were identified. Then, using the SWOT model, strategies and action plan were identified for adapting the cooperative organization to the learning organization. Also, in the quantitative part of the research that was conducted among the members of the cooperatives, through Structural Equation Modeling (SEM), the role of the identified strategies was evaluated and the designed model was approved. Based on the results, the predictive positive effect of identified strategies include: SO1 (β= 0.73, t-Value= 4.23, P< 0.001), SO2 (β= 0.79, t-Value=4.71, P< 0.001), SO3 (β= 0.81, t-Value=5.08, P< 0.001) and SO4 (β= 0.82, t-Value= 4.97, P< 0.001) on Adapting Cooperatives to the Learning Organization (ACLO). The findings showed that (R2= 0.69) the identified strategies determined 69% of the variance in the ACLO.
Volume 24, Issue 1 (1-2022)
Abstract
The purpose of this study was to identify determinants of Eco-Innovations (EI) in agricultural production cooperatives in Iran. Qualitative and quantitative methods were applied to the research. The qualitative section included semi-structured interviews, face-to-face interviews, and brainstorming sessions, and the quantitative section included descriptive statistical and spatial and Bayesian probit models to estimate the model of research. SPSS and MATLAB software was used in this study. SPSS software was used to describe the variables, explain the types of EIs and their effects and comparison of adopters and non- adopters, and MATLAB software was used for the estimation of the model. The data of 300 members of agricultural production cooperatives in Khouzestan Province, Iran, were collected based on random sampling, in 2020 summer. The research examined the different types of EIs. For comparison of adopter and non-adopter characteristics, a t-test and Mann-Whitney test (MW) were used. The results of the t-test showed that there was a significant difference between age, income, crop yield, and farm size for adopters and non-adopters of EI. The Mann Whitney U test (MW) showed significant difference between farmers’ education level, EI awareness, attitude toward EI, EI knowledge, willingness to creativity, being risk oriented, and access to information of adopters and non-adopters of EI. Based on the results obtained from the spatial models, with a probability of 99%, both models were significant. Based on the results of the estimation of spatial models, the independent variables and the spatial autoregressive coefficient had significant role on adoption of EI. For practical implications, it can be said that cooperative members, when adopting the EIs, can use the proposed model that is appropriate to their field of work. This study conducted a critical review before specifically recommending how cooperatives become eco-innovators.
Volume 26, Issue 2 (3-2024)
Abstract
The purpose of this research was to analyze the effective factors of sustainable agricultural development in Khuzestan Province, Iran, through qualitative method. To achieve the objectives of the research, semi-structured interviews and brainstorming techniques were used to collect data, and triangulation was used to evaluate the validity of qualitative findings. In order to implement the qualitative method, three types of open, axial, and selective coding were used. MAXqda12 software was used to analyze the collected data. Based on the qualitative analysis, 127 initial codes with 1,785 repetitions with 42 sub-categories in 4 main categories were identified: Strength, Weakness, Threats and Opportunities. By strengthening strengths and taking advantage of opportunities, we can reduce weaknesses and get rid of threats. Using the obtained results by planners will pave the way for sustainable agricultural development in Khuzestan Province, Iran.
Volume 26, Issue 6 (11-2024)
Abstract
The aim of the research was to design a model that can be effective in the Development of Sustainable Human Resources (SHRD) in agricultural extension. In this sense, the research was divided into two parts: Grounded Theory (GT) and Structural Equation Modelling (SEM). In the qualitative part, semi structured and face-to-face interview and focus groups were held as part of GT, to create a conceptual model that reflects experts' perception of the effective factor on SHRD using MAXQDA software. In the second part, this model was tested for statistical significance and path correlations through the SEM method by using Smart PLS3 software. SHRD emerged as the axial phenomenon or core category. Legality and organizational commitment offered as the first priority of causal conditions affecting SHRD. Economic context offered a contextual condition. Other important categories linked to the core category was knowledge management and learning. Finally, strategies and consequences of SHRD were determined. The SEM analysis showed that causal conditions (β= 0.658), contextual conditions (β= 0.711) and intervening factors (β= 0.690) had a positive and significant effect on the SHRD. Also, based on the results, it can be concluded that contextual conditions (β= 0.658) and intervening factors (β= 0.701) have a positive and significant effect on SHRD strategies. Based on the results, it can be stated that 61% of the changes in the SHRD are explained by the independent variables of causal conditions, contextual conditions and intervening factors. The most important effect of this research is to provide a model that can improve the current situation by identifying the factors influencing SHRD in agricultural extension and education organizations and determining the effect of each factor.
Volume 27, Issue 1 (12-2025)
Abstract
One of the most important environmental hazards that has created many challenges in recent years is the development of inorganic farming and the excessive use of chemical inputs in the agricultural sector. The purpose of this research was to evaluate the role of extension and educational programs in the development of Organic Farming (OF) in vegetable and summer crops in Lorestan Province, Iran. This research was quantitative in nature and applied research in terms of purpose. The population consisted of vegetable and summer crop farmers in Lorestan (N= 3,500). The sample size was determined based on Morgan table (n= 384). In order to determine the validity and reliability of the questionnaire, a panel of experts and a Ө coefficient of 0.85 were used. According to the results, the dimensions of OF were not optimal. From the ecological, health, fairness, care, social-cultural and production-economic aspects, there was a significant difference (P< 1%) between the current and the desired conditions. Farmers who participated in the programs of extension and educational class, field day, extension exhibitions, farmer field school, scientific seminars and demonstration farms had a significant difference (P< 1%) in all aspects of OF with those who did not participate. The most important factors affecting the development of OF dimensions included: (1) Development of technical knowledge and empowerment of farmers in OF, (2) Government support for OF methods and development of its dimensions, (3) Application of legal instruments for the development of OF, and (4) Changing consumers' views towards the use of organic foods.
Volume 27, Issue 1 (12-2025)
Abstract
A sustainable entrepreneurial ecosystem is developed and expanded with an emphasis on innovation-based entrepreneurship in emerging Start-ups. This phenomenon requires identifying the influencing factors in this process. This study aimed to analyze the agricultural start-up ecosystem in order to provide a model of the entrepreneurship in Iran. A survey research method was applied to achieve research objectives. The population of the study consisted of managers of agricultural Start-up of Iran, (N= 90). The questionnaire was the main instrument to collect data. Confirmatory factor analysis and structural equation modeling were used to analyze the data. In total, the research results showed that 9 constructs and 131 sub-constructs could explain 82.1% of the variance of entrepreneurial sustainability in agricultural Start-ups. Based on the obtained results, the overall goodness of fit statistics shows that the structural model fits well with the data. The planners of the agricultural entrepreneurship sector can play an effective role in smoothing the development path of agricultural entrepreneurship in Start-ups by using the results of this study and considering the identified factors.