Applying Interpretive Intelligence to Clarify and Explain Research Results to users for Graduate Students in Public Universities Al-Balqa Applied University: Case Study

Abstract

The paper will explore the level of knowledge and use of interpretive intelligence among post-graduate students in the Al-Balqa Applied University and its applicability in the process of clarifying and explaining the research findings in the academic setting. A stratified random sampling of 250 students was done out of 562 postgraduate students who were the study population. The structured questionnaire was used to gather data on four axes, awareness of interpretive intelligence, its use in research analysis, its difficulties of use, and the perceived effect on the interpretation of the findings of a research. The analysis of the means, percentages, and distribution pattern of the demographic variables was conducted using descriptive statistics that showed that the awareness of interpretive intelligence among students is moderate and high with the majority of the agreement rates being above 68. Students have shown a high awareness of the significance of interpretive smartness on enhancing analytical clarity and providing the explanation of intricate research connections. Nevertheless, it was also found that there were considerable challenges such as the lack of resources in the Arabic language, the lack of training opportunities, and the lack of access to sophisticated interpretative tools. Nonetheless, the dimension of impact showed the greatest mean scores, which points to the fact that interpretive intelligence can significantly contribute to the development of the ability of postgraduate students to present the results clearly, connect the findings to the aims, and minimize analytical ambiguity. It proposes an increase in training schemes, better technical support and introduction of interpretive AI tools in postgraduate courses to enhance the analytical and interpretive skills of the students.