We, the Publisher, have retracted the following article: Mengyao Zhao (2023). The E-learning for Alzheimer's Disease. https://doi.org/10.4108/eetel.4258 The article has been retracted due to misconduct during the peer review process. This does not implicate any wrongdoing from the author’s side. We informed the authors about this decision. The retracted article will remain, and it has been watermarked as “RETRACTED”.

We, the Publisher, have retracted the following article: Jing Wang (2023). Review of Graph Neural Networks for Medical Image. The article has been retracted due to misconduct during the peer review process. This does not implicate any wrongdoing from the author’s side. https://doi.org/10.4108/eetel.4358 We informed the authors about this decision. The retracted article will remain, and it has been watermarked as “RETRACTED”.

We, the Publisher, have retracted the following article: Ting Zhao (2023). Use MOOC to learn image denoising techniques. https://doi.org/10.4108/eetel.4396 The article has been retracted due to misconduct during the peer review process. This does not implicate any wrongdoing from the author’s side. We informed the authors about this decision. The retracted article will remain, and it has been watermarked as “RETRACTED”.

We, the Publisher, have retracted the following article: Amit Kumar Gautam, Yogesh Kumar Yadav (2023). Key performance indicators-based monitoring, measuring progress and ranking of Aspirational Districts. https://doi.org/10.4108/eetel.2923 The article has been retracted due to misconduct during the peer review process. This does not implicate any wrongdoing from the author’s side. We informed the authors about this decision. The retracted article will remain, and it has been watermarked as “RETRACTED”.

We, the Publisher, have retracted the following article: Shengpei Ye (2023). Blended Learning for Machine Learning-based Image Classification. https://doi.org/10.4108/eetel.4509 The article has been retracted due to misconduct during the peer review process. This does not implicate any wrongdoing from the author’s side. We informed the authors about this decision. The retracted article will remain, and it has been watermarked as “RETRACTED”.

We, the Publisher, have retracted the following article: Shengke Yang (2024). A review of research and development of semi-supervised learning strategies for medical image processing. https://doi.org/10.4108/eetel.4822 The article has been retracted due to misconduct during the peer review process. This does not implicate any wrongdoing from the author’s side. We informed the authors about this decision. The retracted article will remain, and it has been watermarked as “RETRACTED”.

We, the Publisher, have retracted the following article: Feifei Zhou (2024). Deep learning-based lung nodule detection: a review. The article has been retracted due to misconduct during the peer review process. This does not implicate any wrongdoing from the author’s side. https://doi.org/10.4108/eetel.4775 We informed the authors about this decision. The retracted article will remain, and it has been watermarked as “RETRACTED”.

We, the Publisher, have retracted the following article: Biao Wang, Chunfeng Yang (2024). Liver tumor segmentation method based on U-Net architecture: a review. EAI Endorsed Trans e-Learn. https://doi.org/10.4108/eetel.5263 The article has been retracted due to misconduct during the peer review process. This does not implicate any wrongdoing from the author’s side. We informed the authors about this decision. The retracted article will remain, and it has been watermarked as “RETRACTED”.

INTRODUCTION: Generative artificial intelligence (AI) has implications for foreign language education, necessitating careful consideration of how the technology should be addressed. This should be based on the perspectives of different stakeholders, not least the students.OBJECTIVES: The paper explores foreign language students’ use of and perspectives on generative AI in foreign language education.METHODS: The paper employs a survey design and analyses responses from 106 students collected over a three-year period.RESULTS: The study documents increasing, frequent and varied use of generative AI. The students’ evaluation of AI output quality has grown more moderate over the years. The study suggests benefits may arise from even limited integration of the technology into language education.CONCLUSION: The study has highlighted a need for integrating generative AI into foreign language education. We need to continue the dialogue with students to inform future pedagogical choices.

While human factors are important in cyber security, the discipline has largely not explored incorporating indigenous perspectives—or, more specifically, in an Australian context, Aboriginal perspectives—in its curricula. In this paper, we introduce a promising approach for aligning Aboriginal perspectives with the needs of cyber security graduates and incorporating diverse perspectives into cyber degrees. The approach advocates for the centrality of good curriculum design fundamentals: backward design, constructive alignment, and student outcomes. The paper ends by reflecting on challenges and lessons from the first implementation and review of the material. It provides recommendations for other cyber practitioners exploring ways of incorporating indigenous perspectives in their teaching.