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How About We Write a Song? Collaborative Songwriting as a Dialogic Space for Literary Discussion

Traditional literary discussion often relies on structured prompts and formal analysis, which may limit student engagement. This article explores collaborative songwriting as a dynamic, dialogic space for literary discussion in secondary English classrooms. The research emerges from an experience where students transformed their understanding of A Separate Peace by John Knowles into a parody song set to Bob Dylan’s Like a Rolling Stone. The article examines how collaborative songwriting fosters literary discussion, deepens textual comprehension, and enhances student engagement. It also investigates the pedagogical implications of integrating music into literature studies. Through qualitative analysis of student discussions, lyrics, and reflections, the study captures the ways in which students engaged with literary themes, character development, and textual interpretation through songwriting. The teacher-researcher’s observations and student feedback provide additional insights into the effectiveness of this approach. The article reveals that collaborative songwriting encouraged deeper literary engagement, creativity, and critical thinking. Students demonstrated nuanced interpretations of the text while fostering a collaborative learning environment. This research highlights the potential of integrating music into English instruction to enhance student participation and literary comprehension, and it suggests that creative, student-driven approaches can enrich traditional literary analysis and discussion practices.

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Deepfake Cyberbullying: The Psychological Toll on Students and Institutional Challenges of AI-Driven Harassment

Deepfake technology, once primarily associated with political disinformation and entertainment, is now being weaponized in schools as a new and insidious form of cyberbullying, posing significant risks to student safety and well-being. Unlike traditional bullying, deepfakes allow for the creation of hyper-realistic, fabricated content, depicting students in harmful or compromising scenarios they never participated in, leading to severe reputational damage and emotional trauma. Adolescents, especially vulnerable during critical stages of identity formation and social belonging, face heightened risks from this insidious form of digital harassment. This paper examines the psychological toll of deepfake bullying, the challenges of detecting and controlling its viral spread on social media, and the legal complexities surrounding institutional responses. It proposes essential solutions for schools, including the integration of AI-driven detection tools, comprehensive digital literacy programs, and mental health interventions tailored to victims’ needs. Furthermore, the paper calls for immediate institutional action and advocates for updates to cyberbullying policies to specifically address deepfake-related harms.These strategies are critical to empowering students and educators to confront the evolving digital landscape and ensuring that educational environments remain safe and supportive amid the rise of AI-driven harassment.

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Ensuring Integrity in AI Research: Frameworks for Assessing Validity and Reliability of GenAI Outputs

As Generative AI (GenAI) technologies increasingly permeate academic research, the assessment of the validity and reliability of AI-generated outputs has become essential. This article presents a comprehensive framework designed to evaluate the accuracy and consistency of GenAI content, emphasizing key components such as assessment criteria and evaluation methodologies. The framework incorporates both statistical methods and qualitative assessments to provide a holistic approach to evaluation. Furthermore, ethical considerations regarding authorship, intellectual property, and bias in AI outputs are examined, underscoring the need for transparent practices in scholarly communication. The article also discusses the evolving standards in AI research and the importance of interdisciplinary collaboration in refining assessment frameworks. A call for further research is made to explore the long-term effects of GenAI on academic practices and to encourage active participation in framework development. Ultimately, this work aims to foster ongoing dialogue about the integration of GenAI in research, prompting scholars to consider how these technologies can enhance productivity while maintaining critical thinking and originality. By establishing robust evaluation practices, the academic community can navigate the complexities of GenAI responsibly and effectively.

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