Sustainable development goals (SDG) involve not only environmental issues but also economic, social, and cultural concerns. Higher education plays a key role in promoting sustainable development initiatives and in empowering people to change their thinking and to strive for a sustainable future. However, the main issue that needs to be presently resolved is how leaders, teachers, and students in higher education can achieve sustainable development in their system vision, mission and values, strategic plans, and organizational culture. Morocco is a country with a long history of higher education and has continuous reforms for sustainable development. In the process of responding to the wave of globalization, the Moroccan government has begun to formulate a higher education reform plan to maintain its competitiveness and achieve the SDG standards. Therefore, this study is focused on the quality of the higher education system through which the sustainability of higher education reform can be implemented. With this in mind, an organized approach that involved a questionnaire using the SWOT (strengths, weaknesses, opportunities, and threats) decision-making model with integration of analytic hierarchy process (AHP) and Entropy method was developed. The questionnaires were filled out by the experts, staff, and students of the higher education system (universities) to obtain the important key factors for the SWOT analysis. The AHP was used for the qualitative analysis of the weights of the SWOT factors, while the Entropy method was applied for the objective analysis of the number of different weight attributes. After integration of AHP with Entropy, the finalized variables were ranked; these results are more reliable and realistic to decision-makers. Finally, the SWOT matrix was established based on the questionnaire assessment and the AHP with Entropy weights to help implement the higher education reform policy and to monitor the quality of the current education system. The results also indicate that higher education reform must incorporate many changes, including effective budget planning, skilled experts, internationalization, improved and expanded infrastructure, reformed study curriculum, and latest training.

Education is the cultivation of people to promote and guarantee the development of society. Education reforms can play a vital role in the development of a country. However, it is crucial to continually monitor the educational model’s performance by forecasting the outcome’s progress. Machine learning‐based models are currently a hot topic in improving the forecasting research area. Forecasting models can help to analyse the impact of future outcomes by showing yearly trends. For this study, we developed a hybrid, forecasting time‐series model by long short‐term memory (LSTM) network and self‐attention mechanism (SAM) to monitor Morocco’s educational reform. We analysed six universities’ performance and provided a prediction model to evaluate the best‐performing university’s performance after implementing the latest reform, i.e., from 2015–2030. We forecasted the six universities’ research outcomes and tested our proposed methodology’s accuracy against other time‐series models. Results show that our model performs better for predicting research outcomes. The percentage increase in university performance after nine years is discussed to help predict the best‐performing university. Our proposed algorithm accuracy and performance are better than other algorithms like LSTM and RNN.

Urban parks and road greening are important components of primary gardens, and their plant communities are based on the ecology of different management and operation modes. Urban greening is the link connecting the city segment isolation green space, good road greening can not only achieve the effect of greening, beautification, but also play a role in purifying the air, reducing noise, reducing radiation heat, and protecting the road surface, to people’s travel and life to create a safe, pleasant, comfortable, beautiful, and hygienic environment. In this paper, through the Karachi main road and parks greening geo-spatial survey found that it contains 32 tree species, of which 4 species of naked plants, quilt plants 28 species. Road green tree species have a low diameter level and are in their infancy. The tree species of road greening in each district are mainly trees, and the important value of trees is much higher than that of shrubs. The diversity index of green tree species in each district is low, and a few tree species in each district account for more than 50% of all trees. By measuring the light intensity, air temperature, relative humidity and wind speed of different road greening forms, the effects of different road greening forms on small climate, environmental comfort and air flow are analyzed, and the results show that the greening forms of roads with large vertical projection area on the road are the most obvious in reducing light intensity, reducing air temperature, and increasing relative humidity. Trees in the road vertical projection area of large road greening form so that the road environment is in a comfortable situation throughout the day, conducive to human health. Trees in the road above the vertical projection area of the road green form can better reduce the road near the surface temperature, but trees in the road vertical projection area of small road greening.