THE CODE ON SANITATION OF THE PHILIPPINES

Journal of Infrastructure Systems, 1997

National Foundation For Educational Research, 2009

An evaluation of the success of women specific legislation submitted into the parliamentary assemblies of Pakistan.

Final paper for a PhD course, "Environmental Policy and Management": Canadians are preparing for a federal election in October 2015. In the wake of recent policy strategies by the Harper Government, which includes the use of omnibus bills and stringent scare and control mechanisms, there exists a concern that the electorate is no longer informed well enough to make decisions in their own interests. Yet, those who want to be engaged and informed meet challenges in regards to accessing information, while those who have the information are finding it difficult not only to share it, but to infuse it into policy. As such, the discussion around how to better facilitate the use of science in policy, as well as how to improve the culture of policy in regards to science, is pertinent. An introduction and a history to the current policy landscape was provided in the first two sections of this paper. Two sets of challenges were then discussed: the general application of science to policy, and the inhibition of science within the current policy landscape as illustrated in the introductory sections. Finally, recommendations based in the literature were considered.

The rapid development of generative artificial intelligence (GenAI), including large language models (LLM), has merged to support students in their academic writing process. Keeping pace with the technical and educational landscape requires careful consideration of the opportunities and challenges that GenAI-assisted systems create within education. This serves as a useful and necessary starting point for fully leveraging its potential for learning and teaching. Hence, it is crucial to gather insights from diverse perspectives and use cases from actual users, particularly the unique voices and needs of student-users. Therefore, this study explored and examined students' perceptions and experiences about GenAI-assisted academic writing by conducting in-depth interviews with 20 Chinese students in higher education after completing academic writing tasks using a ChatGPT4-embedded writing system developed by the research team. The study found that students expected AI to serve multiple roles, including multi-tasking writing assistant, virtual tutor, and digital peer to support multifaceted writing processes and performance. Students perceived that GenAI-assisted writing could benefit them in three areas including the writing process, performance, and their affective domain. Meanwhile, they also identified AI-related, student-related, and task-related challenges that were experienced during the GenAI-assisted writing activity. These findings contribute to a more nuanced understanding of GenAI's impact on academic writing that is inclusive of student perspectives, offering implications for educational AI design and instructional design.

Journal of Cold War Studies, 2004