Academic Risk-Taking and Learned Resourcefulness are predictors of Self- differentiation among students of educational qualification program at the Faculty of Education Al-Azhar University

The research aimed to identify the level of self-differentiation among students of the educational qualification program at the Faculty of Education, Al-Azhar University, and the relationship between Academic Risk-Taking, learned resourcefulness, and self-differentiation, and the differences in self-differentiation in light of the gender variable (males-females), and to identify the possibility of predicting self-differentiation through Academic Risk-Taking and learned resourcefulness. The number of participants in the research was (943) male and female students with an mean age of (25.84) years, and a standard deviation of (1.09), The research tools were represented by the Academic Risk-Taking scale, the learned resourcefulness scale, and the self-differentiation scale, all of which were prepared by the researcher. The research results showed that there was a high level of self-differentiation among the research participants, and the presence of a statistically significant positive correlation between Academic Risk-Taking and self-differentiation, and the presence of a statistically significant positive correlation between learned resourcefulness and self-differentiation, and the absence of statistically significant differences between mean scores of the research participants in self-differentiation due to the gender variable (males-females), and that it is possible to predict Self-differentiation is determined by the degrees of Academic Risk-Taking, and the most predictive dimensions of self-differentiation are (facing failure situations - preparing for future professional challenges), and self-differentiation can also be predicted by the degrees of learned resourcefulness, and the most predictive dimensions of self-differentiation are (self-control - positive thinking), and learned resourcefulness is the most contributing variable to the prediction of self-differentiation, and the research results were discussed in light of the basic concepts and results of previous studies and research.