Keywords = Creativity
Number of Articles: 2
Investigating the Effect of Project-Based Learning on Creativity and Problem-Solving Skills in Elementary School Students

Investigating the Effect of Project-Based Learning on Creativity and Problem-Solving Skills in Elementary School Students

Volume 2, Issue 2, March and April 2026, Pages 182-190

https://doi.org/10.5281/zenodo.21833833

Mitra Mesgar

Abstract Project-Based Learning (PBL) has emerged as one of the most influential student-centered instructional approaches in contemporary education. The present study investigated the effect of Project-Based Learning on creativity and problem-solving skills among elementary school students. A quasi-experimental research design with pre-test and post-test control groups employed. Sixty elementary school students selected and randomly assigned to either an experimental group receiving Project-Based Learning instruction or a control group receiving traditional teacher-centered instruction. The intervention lasted for twelve weeks and involved interdisciplinary projects requiring collaboration, inquiry, and real-world problem-solving. Creativity assessed using the Torrance Tests of Creative Thinking, while problem-solving skills measured through a standardized Problem-Solving Skills Inventory. Data were analyzed using descriptive statistics and inferential methods. Results indicated significant improvements in both creativity and problem-solving skills among students exposed to Project-Based Learning compared to those in the control group. Furthermore, moderate-to-large effect sizes suggested that the instructional approach had meaningful educational benefits. Findings support constructivist theories emphasizing active engagement, collaboration, and authentic learning experiences. The study highlights the potential of Project-Based learning to foster higher-order thinking skills essential for success in the twenty-first century. Educational implications suggest that teachers and curriculum developers should integrate project-based strategies into elementary education to enhance creativity and critical thinking capacities. Future studies are encouraged to examine long-term effects, different age groups, and variations in project design. Overall, Project-Based Learning represents an effective pedagogical framework for promoting cognitive and creative development among young learners and preparing them for complex real-world challenges.

Generative AI in Media Organizations: Content Management, Creativity, and Intellectual Property

Generative AI in Media Organizations: Content Management, Creativity, and Intellectual Property

Volume 2, Issue 1, January and February 2025, Pages 77-85

https://doi.org/10.5281/zenodo.18478488

Karrar Ansarimanesh

Abstract Generative Artificial Intelligence (Generative AI) has rapidly emerged as a transformative force within media organizations, reshaping how content is created, managed, distributed, and monetized. This article examines the applications of Generative AI in three critical domains of media management: content management, creative processes, and intellectual property (IP) governance. In content management, Generative AI enables automation of tasks such as content tagging, summarization, localization, and personalization, significantly improving efficiency and scalability while reducing operational costs. Algorithms capable of generating metadata and optimizing content workflows allow media organizations to respond more rapidly to audience demands across digital platforms. From a creativity perspective, Generative AI functions as a collaborative tool rather than a replacement for human creators. Technologies such as large language models, image generators, and audio synthesis systems support journalists, editors, and designers by assisting in idea generation, drafting, visualization, and prototyping. This human–AI co-creation model expands creative possibilities, accelerates production cycles, and lowers barriers to experimentation. However, it also raises questions about originality, authorship, and the cultural value of media products. The article further explores the complex implications of Generative AI for intellectual property. AI-generated or AI-assisted content challenges existing copyright frameworks, particularly regarding ownership, authorship, and liability. Media organizations must navigate risks related to training data transparency, potential infringement, and the protection of proprietary content. The study argues that effective governance strategies—combining legal compliance, ethical guidelines, and organizational policies—are essential for sustainable adoption. Overall, Generative AI represents both an opportunity and a strategic challenge for media organizations, requiring a balanced approach that integrates technological innovation with creative integrity and robust IP management.