DIVE&CLEAN - Intervention Possible
The DIVE&CLEAN project is an educational and innovative initiative aimed at addressing a significant environmental challenge: marine pollution. With oceans covering over 70% of the Earth’s surface and providing a home to 50–80% of life on the planet, their health is critical. However, marine ecosystems are under threat due to plastic pollution, which impacts wildlife, coastal communities, and global biodiversity. This project centers around the idea of introducing underwater trash bins, especially in areas frequented by recreational divers. While most divers explore the seas without specific tools to collect trash, they could contribute significantly with the right infrastructure. The vision of DIVE&CLEAN is to inspire behavioral change, encourage collaboration, and promote actionable solutions to reduce ocean pollution. Using interactive robotics and storytelling, the project tells the story of divers rescuing animals entangled in plastic and collecting trash from the ocean floor using underwater bins. Through creative performances, it seeks to educate and motivate individuals, resorts, and authorities to adopt sustainable practices.
Evaluating the Impact of the AI-Powered Interactive Journal “I Am Great Because of Me” on Reducing Impostor Syndrome Among High Performing Students
Impostor Syndrome, a psychological phenomenon where individuals doubt their abilities despite evident achievements, can hinder personal and academic development. This study aims to evaluate the effectiveness of the interactive journal “I am Great Because of Me”, integrated with artificial intelligence (AI), in addressing Impostor Syndrome among high-performing students. The journal features innovative tools such as the Clance Impostor Phenomenon Scale (CIPS) test accessible via QR code, self-acknowledgement pages, and virtual consultations powered by AI chatbots. These elements aim to support self-reflection, provide real-time diagnostics, and deliver actionable recommendations for users. The ADDIE model was employed for the journal's development, incorporating feedback from experts and users. Likert scales and Cohen’s D analysis were used to evaluate satisfaction, usability, and impact. Results showed that 90.1% of students expressed high satisfaction with the journal’s accessibility, interactivity, and capacity to enhance self-awareness and motivation. A pre-test and post-test conducted on the intervention group revealed a significant reduction in Impostor Syndrome by 42.5%, with an effect size of 2.84, categorized as "very large." Features such as the self-acknowledgement worksheets helped students recognize their strengths, while AI consultations offered additional psychological support. Expert validation emphasized the journal’s clarity, relevance, and objectivity, noting the absence of bias in AI-driven suggestions. The journal was praised for its accurate content, ease of use, interactivity, and the protection of user data, ensuring a safe and private environment for self-development. Students found the journal beneficial not only for addressing Impostor Syndrome but also for fostering personal growth and self-confidence. This research demonstrates the potential of combining psychological theories with AI-driven tools in education. The journal “I am Great Because of Me” effectively aids students in overcoming Impostor Syndrome and improving self-perception. It serves as a scalable solution for schools and individuals aiming to tackle similar psychological challenges. Future studies are encouraged to explore its application in broader contexts to maximize its impact.
Developing a Heart-Rate Monitoring App to Help Families in Identifying Mood Changes for Children Diagnosed With Neurodivergence
This study dives into the benefits of a heart rate (HR) monitoring application to aid families in identifying mood changes in children diagnosed with neurodivergence. Children with neurodivergence often struggle with communicating their emotions, which often results in tantrums or emotional outbursts, and this study plans to address this by creating an app that detects users’ HR to calculate heart rate variability (HRV) and detect when the user’s heart rate variability (HRV) levels become higher than usual. Heart-rate variability is defined as a small variation of the interval between every heartbeat, it’s calculated with the formula of . By looking at the developments of these small variations, it will be 60/𝐵𝑃𝑀 × 1000 easier to notice then the interval for heartbeats are shorter, meaning the body is in need of more blood pumped quickly for support. The app is connected to a heart rate sensor that is worn by the user. The heart-rate sensor frequently uploads data to the app which the app processes and carefully observes while looking for any sudden, dramatic change. The sensor and app was tested and proved to meet the expected requirements of functionality. Four participants with neurodivergence were asked to equip the heart-rate sensor and results showed that different developments of heart-rate variability were able to be detected by the app, these participants varied in their type of neurodivergence as well as their age. As an example, the third participant showed the purpose of the app most visibly, having a resting heart-rate of 86 BPM (697.67 ms) turning into a high 107 BPM (561.68ms) after changing activities. When the user’s sensor detects a sudden spike in heart-rate variability, the app notified the parent account about this change in emotion. This study has supported the relevance of using heart-rate variability to observe changes in mood.