Abstract: In light of the aspiration to achieve sustainability in the field of education, especially after the development of artificial intelligence technologies in general and artificial neural network technologies in particular, the process of improving e-learning has become one of the most important strategies for achieving sustainability. This study aims to evaluate the impact of using artificial intelligence techniques and artificial neural networks on improving cloud e-learning by extracting and mining data from the electronic cloud and analyzing it to provide a more efficient and effective educational experience. Through several methodologies, including descriptive methodology to describe the factors influencing the improvement of machine learning through the use of artificial intelligence techniques and the mechanism for using these techniques, quantitative methodology was used in collecting data and analytical scientific methodology to analyze the results of the proposed model, which is a hybrid of convolutional artificial neural networks (CNN) and recursive neural networks (RNN). Through the model, it is possible to extract and analyze user data such as interaction with content and duration of study to extract patterns and behaviors that support improving the learning experience, and personalizing individual learning paths. Predicting the academic performance of students using machine learning techniques. The results showed an improvement in the learning experience of 86% and an improvement in platform performance of 85%. Machine learning indicators, such as accuracy (94%), recall (93%) and f1 score (91%), also indicated the success of the model used in

Abstract

As technological advancements continue to revolutionize teaching, the use of technology in both college/university and classrooms is making flipped

learning a trending instructional model. The roles and responsibilities of instructors and students often require a new or enhanced skill set where the instructor designs intentional learning experiences to engage students outside of the classroom. This research was conducted to investigate the effectiveness of flipped learning strategy to overcome the educational communication problems. Also, it has been explained the definition of the flipped classroom and its impact on course evaluations and student outcomes. Besides, it has been discussed the comparison between the flipped learning strategy and the traditional way of teaching. As well, it has been explained some advantages and disadvantages of the flipped classroom. Above and beyond, it has been mentioned the most important critiques against the flipped leaning. More to the point, it has been shown some steps to implement the flipped classroom strategy. As well as, it has been presented some reasons of why should be flipped our classrooms. Ultimately, some important recommendations have been given to guarantee an effective learning in the education process.

Key words:  flipped classrooms, flipped learning, higher education, technological advancement, effective flipping ,

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A new record for Leptadenia arborea (Forssk.) Schweinf. is reported for the first time in the flora of Libya. This species was collected from Ariggiba region (110 km southwest Sabha city). A full description and habitat information on the plant are provided. A brief discussion about the most important traits of this species is presented.

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