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Horton, Nicholas J.; Chao, Jie; Palmer, Phebe; Finzer, William – Teaching Statistics: An International Journal for Teachers, 2023
Text provides a compelling example of unstructured data that can be used to motivate and explore classification problems. Challenges arise regarding the representation of features of text and student linkage between text representations as character strings and identification of features that embed connections with underlying phenomena. In order…
Descriptors: Undergraduate Students, Data Analysis, Learning Processes, Written Language
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Josie L. Andrews – American Association for Adult and Continuing Education, 2023
Graduate school experience is regarded as a "period of professional infancy" in which graduate students rely on a successful socialization process to help them develop a professional identity within the profession. Unfortunately, the socialization process has also emerged as a hotbed of academic bullying. In this study, 621 online public…
Descriptors: Bullying, Social Media, Computer Mediated Communication, Graduate Students
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Yawen Yu; Yang Tao; Gaowei Chen; Can Sun – Journal of Computer Assisted Learning, 2024
Background: Deep discussions play an important role in students' online learning. However, researchers have largely focused on engaging students in deep discussions in online asynchronous forums. Few studies have investigated how to promote deep discussion via mobile instant messaging (MIM). Objectives: In this study, we applied learning…
Descriptors: Learning Analytics, College Students, Epistemology, Computer Mediated Communication
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Eryilmaz, Evren; Thoms, Brian; Ahmed, Zafor; Lee, Kuo-Hao – Education and Information Technologies, 2021
As asynchronous online discussions gain a broader usage due to the COVID-19 epidemic, the need for understanding of students' ideas from unstructured textual data becomes more pressing. In this experimental study, we examine the effects of recommendations on message quality and community formation from voluminous online discussions. Drawing on…
Descriptors: Asynchronous Communication, Computer Mediated Communication, Cooperative Learning, Learning Analytics
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Kathleen Van Royen; Karolien Poels; Heidi Vandebosch; Bieke Zaman – International Journal of Bullying Prevention, 2022
The use of reflective interfaces has been proposed as a useful strategy to reduce cyber harassment amongst adolescents on social networking sites (SNS). By using machine-learning techniques, harassing online messages can be detected before a user submits it online, whereafter a message prompts the user to reconsider the post. This study builds…
Descriptors: Computer Mediated Communication, Bullying, Computer Software, Privacy
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Kaliisa, Rogers; Dolonen, Jan Arild – Technology, Knowledge and Learning, 2023
Despite the potential of learning analytics (LA) to support teachers' everyday practice, its adoption has not been fully embraced due to the limited involvement of teachers as co-designers of LA systems and interventions. This is the focus of the study described in this paper. Following a design-based research (DBR) approach and guided by concepts…
Descriptors: College Faculty, Student Participation, Discourse Analysis, Behavior Patterns
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Chen, Chih-Ming; Li, Ming-Chaun; Huang, Ya-Ling – Interactive Learning Environments, 2023
By applying two-mode social networks and Chinese word segmentation technologies, a novel visualization tool, the instant semantic analysis and feedback system (ISAFS), is designed in this study to present the semantic networks of co-words and non-co-words used in learners' discussion processes and assist learners in grasping the discussion…
Descriptors: Foreign Countries, High School Students, Semantics, Feedback (Response)
Linsen Li; Aron Culotta; Douglas N. Harris; Nicholas Mattei – Grantee Submission, 2023
School rating websites are increasingly used by parents to assess the quality and fit of U.S. K-12 schools for their children. These online reviews often contain detailed descriptions of a school's strengths and weaknesses, which both reflect and inform perceptions of a school. Existing work on these text reviews has focused on finding words or…
Descriptors: Elementary Schools, Middle Schools, Secondary Schools, Educational Change
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Youngjin Lee – TechTrends: Linking Research and Practice to Improve Learning, 2024
This study investigates community sentiments and opinions regarding the use of ChatGPT in education within online user forums. Large Language Model (LLM)-based sentiment analysis was conducted on the posts and comments submitted to Teachers Subreddit, an online community for educators. The analysis revealed that the members of Teachers Subreddit…
Descriptors: Community Attitudes, Artificial Intelligence, Discourse Analysis, Computer Mediated Communication
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Susan Lang; Clinton Morrison Jr.; Kathleen Brawley – Writing Center Journal, 2024
What do writers do with the feedback they receive? While the answer will vary depending on the writer's experience and the rhetorical situation, understanding what writers do can provide important information for course redesign and professional development of tutors and instructors. In this first of two manuscripts, the authors examine how…
Descriptors: Laboratories, Writing (Composition), Writing Instruction, Tutoring
Chris Borntrager – ProQuest LLC, 2022
This dissertation uses a discourse studies approach to investigate key communicative processes by which digital technology is given situated meanings within the institution of public education, including at the level of official discourse, administrative textsp, and the spoken discourse of professional educators. The discursive processes under…
Descriptors: Discourse Analysis, Information Technology, Political Attitudes, Social Attitudes
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Géring, Zsuzsanna; Tamássy, Réka; Király, Gábor; Rakovics, Márton – Higher Education: The International Journal of Higher Education Research, 2023
In this paper, we investigate how highly ranked business schools construct their legitimacy claims by analysing their online organisational communication. We argue that in the case of higher education institutions in general, and business schools in particular, the discursive formation of these legitimacy claims is strongly connected to the…
Descriptors: Futures (of Society), Business Schools, Computational Linguistics, Discourse Analysis
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Biddix, J. Patrick; Park, Hyejin; Collom, Gresham D.; Bailey, Misty R.; Park, Han Woo – Education and Information Technologies, 2023
The emergence of the COVID-19 pandemic brought changes and efforts for adaption to the new environment in every industry, including higher education. The present study, drawing on crisis management theory as a framework, aimed to understand information and communication sharing behaviors of the higher education community during the pandemic by…
Descriptors: Higher Education, Social Media, COVID-19, Pandemics
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Wei Xu; Le-Ying Yang; Xiao Liu; Pin-Nv Jin – Education and Information Technologies, 2024
Teacher feedback is the key to online collaborative discussion. To investigate the effects of different forms of teacher feedback intervention on learners' cognitive and emotional interactions in online collaborative discussion, this study collected collaborative discussion text data of online collaborative learners. Based on the framework of…
Descriptors: Feedback (Response), Teacher Student Relationship, Communities of Practice, Cooperative Learning
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Juyoung Song; Hassan Nejadghanbar – TESOL Journal, 2024
This study investigates the impact of social media discourses, espoused by neoliberal and consumerist ideologies, on a language teacher educator's (LTE) identity negotiation. Through a collaborative case study, it examines Hassan's (the second author) experiences with social media in the Iranian English language teaching (ELT) context over three…
Descriptors: Consumer Education, Discourse Analysis, Social Media, Language Teachers
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