What are The Suitable Instructional Strategy and Media for Student Learning Styles in Middle Schools? [PDF]
International Journal on Integrating Technology in Education
(IJITE) Vol.6, No.4, December 2017, 2018 This study aims to find out what instructional strategy and media more properly based on learning styles in middle schools. For this purpose, 307 students of 7th to 9th grade from three middle schools were the respondents. Index Learning Styles was used to know the student learning styles based on Felder-Silverman learning styles.
arxiv +1 more source
The Benefits, Risks and Regulation of Using ChatGPT in Chinese Academia: A Content Analysis
The social science, 2023 Research Aims. This research project investigates what are the major benefits and risks of Chinese students using ChatGPT for academic activities. Also, the project assesses how, if applicable, should ChatGPT be regulated in Chinese academic settings in ...
J. Hung, Jackson Chen
semanticscholar +1 more source
#FeesMustFall Protests in South Africa: A Critical Realist Analysis of Selected Newspaper Articles
Journal of Student Affairs in Africa, 2019 Using Critical Realism (CR), this article looks at articles from selected South African newspapers which reported on the #FeesMustFall protests. The study established that, arising from the protests, was a culture characteried by tensions and distrust ...
G. Mavunga
semanticscholar +1 more source
Unsupervised Bias Detection in College Student Newspapers [PDF]
arXiv, 2023 This paper presents a pipeline with minimal human influence for scraping and detecting bias on college newspaper archives. This paper introduces a framework for scraping complex archive sites that automated tools fail to grab data from, and subsequently generates a dataset of 14 student papers with 23,154 entries.
arxiv
Whose Language Counts as High Quality? Measuring Language Ideologies in Text Data Selection [PDF]
arXiv, 2022 Language models increasingly rely on massive web dumps for diverse text data. However, these sources are rife with undesirable content. As such, resources like Wikipedia, books, and newswire often serve as anchors for automatically selecting web text most suitable for language modeling, a process typically referred to as quality filtering.
arxiv
Contra generative AI detection in higher education assessments [PDF]
arXiv, 2023 This paper presents a critical analysis of generative Artificial Intelligence (AI) detection tools in higher education assessments. The rapid advancement and widespread adoption of generative AI, particularly in education, necessitates a reevaluation of traditional academic integrity mechanisms.
arxiv
A Pattern-mining Driven Study on Differences of Newspapers in Expressing Temporal Information [PDF]
David C. Wyld et al. (Eds): NLP, JSE, MLTEC, DMS, NeTIOT, ITCS,
SIP, CST, ARIA - 2020 pp. 111-129, 2020. CS & IT - CSCP 2020, 2020 This paper studies the differences between different types of newspapers in expressing temporal information, which is a topic that has not received much attention. Techniques from the fields of temporal processing and pattern mining are employed to investigate this topic.
arxiv +1 more source
LACLICHEV: Exploring the History of Climate Change in Latin America within Newspapers Digital Collections [PDF]
arXiv, 2021 This paper introduces LACLICHEV (Latin American Climate Change Evolution platform ), a data collections exploration environment for exploring historical newspapers searching for articles reporting meteorological events. LACLICHEV is based on data collections' exploration techniques combined with information retrieval, data analytics, and geographic ...
arxiv
Preparatory Journalism: The College Newspaper as a Pedagogical Tool
, 2018 This study utilizes a national survey of college newspaper advisers to assess the internal workings of the college newspaper and its value as a pedagogical tool.
David Bockino
semanticscholar +1 more source
Abstractive Summarization for Low Resource Data using Domain Transfer and Data Synthesis [PDF]
arXiv, 2020 Training abstractive summarization models typically requires large amounts of data, which can be a limitation for many domains. In this paper we explore using domain transfer and data synthesis to improve the performance of recent abstractive summarization methods when applied to small corpora of student reflections.
arxiv