درخت حوزه‌های تخصصی

Purpose: The purpose of the present research is to present a brain-based curriculum model focusing on interaction and motivation in the secondary school. Methodology: In order to achieve this goal, qualitative approach, field method and semi-structured in-depth interview techniques were used. The study population included prominent curriculum planning experts, researchers and faculty members and 15 people were interviewed based on the data saturation. The data collection tools included texts and semi-structured interviews, and the method of data analysis also included inductive thematic analysis (Attride-Stirling thematic networks). Findings: The results of the research showed that the curriculum design components included four dimensions: goals, content, teaching methods, and assessment methods, which affect students' interaction and motivation. Goals included indices of changing mental images, real learning environment, flexibility of brain-based curriculum, information storage during learning. Content included indices of development of brain ability, mechanism of brain function, cognitive learning, content understanding, triggering body and brain activity, teaching methods including practical learning, learning in the environment, cooperation in class activity, different learning style, getting students to take responsibility for learning, effectiveness of education, purposeful and conscious teaching, continuous information processing. Assessment method included self- assessment, understand the content easily, flexible learning, encouraging activities. The interaction included indices of sharing new experiences in learning; improving the brain ability; and discussing different topics. Stimulation of learning and motivation included the indices cognitive function of the brain, challenging and enjoyable learning. Conclusion: The results showed that the brain-based curriculum emphasizes on goals, content, teaching and assessment methods, which is designed with an emphasis on interaction and motivation.

This paper aims to evaluate whether features of the public sphere are present in the activities of Iranian Twitter users. To achieve this objective, the paper provides a synthesis of computational social sciences, network analysis, and Habermas's approach to the public sphere. The data comes from all Iranian users, including those who are actively engaged in political issues on Twitter. This method of data collection focuses on the computational aspects of the users. Added information on how they conducted networking and facilitated public opinion, which resulted in increased user interaction, would complete the data-gathering process to align with the theoretical claims. It also indicates that Twitter was a platform on which Iranian users fulfilled the requirements of the public sphere. Some of the findings indicate that there were 48,076 users connected with 25,534,713 edges, and together, they formed three communities. While one of the communities focused solely on social issues, the other two engaged in a rival political challenge. It seems that this situation exemplified the main characteristic of the public sphere, namely, the freedom to express political views and the formation of diverse communities with competing ideas.