Designing curriculum

Purpose: The purpose of this study was to design a psychological capital curriculum consist of optimism for Iranian higher education. Methodology: The research methodology was qualitative content analysis of deductive category system. The research domain consisted of all sources, articles, and printed and digital books related to psychological capital and a targeted sampling method was used. Data analysis was conducted through subject coding. The findings were derived from 50 conceptual codes that were categorized into 16 components and main categories of optimism. To validate the model of psychological capital curriculum, 10 experts from the field of curriculum and educational psychology contributed using Lawshe coefficient, with components below 62%, three components were deleted. Finding: the results showed that the identified targets for optimism included four components of reality, self-regulating growth, responsibility, and bravery. The obtained content showed that components of planning, self-excitation education, communication approach, positive thinking, and relationship between the current status and the past one need to be considered in optimistic curriculum. The results also identify education and two components for teaching methods of optimism: interpretative pattern and individual teaching pattern. For evaluation, three components of evaluating the interpretation and explanation, assessing the change in behavior, and an assessment of the correct and unfair practices of social communication were identified. Discussion: The present study, as a model for designing a curriculum for psychological capital based on optimism for Iranian scholars and planners of higher education, allows understanding and applying the elements of the curriculum to develop psychological capital in students.

Objective: The new development in the area of Artificial Intelligence (AI) education has raised interest with a sense of urgency about further refining it in the area of science education. Method: The qualitative study provides an insight into views of science teachers about the potential and limitation of employing ChatGPT in science education and how to take advantage of such technology-based developments. Methods: The research was conducted based on 46 science teachers of Zanjan province, using the snowball sampling method. Results: The teachers gave feedback on how ChatGPT can be beneficial and restrictive as an effective educational tool for their classroom. Overall, findings paint a picture where even though the teachers openly acknowledged that ChatGPT is full of potential to make so much space for interaction, they were still concerned about the impact of the technology, for instance, making too much dependency on the technology among the learners and how the tools impede the capacity of the students in thinking critically and creatively. The results also support discussion of future Career development opportunities with responsive curricula redesign for the sake of leveraging the possibilities of AI tools in an effort to support learning. Practice and policy implications and directions for research on the career development opportunities are considered in the conclusion and limitations of the study. Conclusion: .This study adds to the growing field of education and AI by highlighting the need to balance innovation with pedagogical responsibility. It shows that AI can enhance teaching as a supportive tool, not a replacement. Successful integration requires attention to equity, ethics, and collaboration among educators, policymakers, and technologists.