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Fesler, Lily; Dee, Thomas; Baker, Rachel; Evans, Brent – Journal of Research on Educational Effectiveness, 2019
Recent advances in computational linguistics and the social sciences have created new opportunities for the education research community to analyze relevant large-scale text data. However, the take-up of these advances in education research is still nascent. In this article, we review the recent automated text methods relevant to educational…
Descriptors: Educational Research, Content Analysis, Research Methodology, Data Analysis
Fesler, Lily; Dee, Thomas; Baker, Rachel; Evans, Brent – Grantee Submission, 2019
Recent advances in computational linguistics and the social sciences have created new opportunities for the education research community to analyze relevant large-scale text data. However, the take-up of these advances in education research is still nascent. In this article, we review the recent automated text methods relevant to educational…
Descriptors: Educational Research, Content Analysis, Research Methodology, Data Analysis
Cohen, Anat; Shimony, Udi; Nachmias, Rafi; Soffer, Tal – British Journal of Educational Technology, 2019
This study explores and characterizes learners' participation patterns in MOOC forums, as well as the factors that correlate with learners' participation. Educational data mining and learning analytics methods were used to retrieve and analyze the learners' interpersonal interaction data, which had accumulated in the Coursera log files. The…
Descriptors: Online Courses, Student Participation, Correlation, Mass Instruction
Fischer, Christian; Fishman, Barry; Schoenebeck, Sarita Yardi – AERA Open, 2019
This mixed-methods observational study analyzes Advanced Placement (AP) Biology teachers' engagement in microblogging for professional learning. Data from three hashtag-based Twitter communities--#apbiochat, #apbioleaderacad, and #apbioleaderacademy (121 users; 2,253 tweets)--are analyzed using educational data mining, qualitative two-cycle…
Descriptors: Science Teachers, Social Networks, Computer Mediated Communication, Advanced Placement
Liu, Qingtang; Zhang, Si; Wang, Qiyun; Chen, Wenli – IEEE Transactions on Learning Technologies, 2018
Teachers' online discussion text data shed light on their reflective thinking. With the growing scale of text data, the traditional way of manual coding, however, has been challenged. In order to process the large-scale unstructured text data, it is necessary to integrate the inductive content analysis method and educational data mining…
Descriptors: Information Retrieval, Data Collection, Data Analysis, Discourse Analysis
Charalampidi, Marina; Hammond, Michael – International Association for Development of the Information Society, 2016
This paper discusses the process of analysing online discussion and argues for the merits of mixed methods. Much research of online participation and e-learning has been either message focused or person focused analysis. The former covers methodologies such as content and discourse analysis, the latter interviewing and surveys. The paper discusses…
Descriptors: Data Analysis, Mixed Methods Research, Discourse Analysis, Computer Mediated Communication
Lam, Chris; Hannah, Mark A. – Business and Professional Communication Quarterly, 2016
This article describes a flipped classroom activity that requires students to integrate research and audience analysis. The activity uses Twitter as a data source. In the activity, students identify a sample, collect customer tweets, and analyze the language of the tweets in an effort to construct knowledge about an audience's values, needs, and…
Descriptors: Audience Analysis, Integrated Activities, Class Activities, Transcripts (Written Records)
Owens, Marissa Christina – ProQuest LLC, 2015
The focus of this study was to answer the following overarching question: How does a Twitter discussion format compare to a Facebook discussion format in terms of promoting collaborative argumentative discourse? Data analysis focused on the difference in amount of arguments, counter-arguments, reasons, and elaborations generated by participants…
Descriptors: Social Media, Computer Mediated Communication, Online Courses, Persuasive Discourse
Wang, Shu-Ming; Hou, Huei-Tse; Wu, Sheng-Yi – Educational Technology Research and Development, 2017
Instructional strategies can be helpful in facilitating students' knowledge construction and developing advanced cognitive skills. In the context of collaborative learning, instructional strategies as scripts can guide learners to engage in more meaningful interaction. Previous studies have been investigated the benefits of different instructional…
Descriptors: Cognitive Processes, Electronic Journals, Student Journals, Web Based Instruction
Park, Min Sook; Park, Hyejin – Information Research: An International Electronic Journal, 2016
Introduction: Health information-seeking and sharing online has become immensely intertwined with day-to-day information-seeking of US immigrants with health concerns. Despite the consistent recognition of unique health needs among different US immigrant communities, little is known about the distinctive patterns and extent of health information…
Descriptors: Korean Americans, Cancer, Help Seeking, Computer Mediated Communication
Çardak, Çigdem Suzan – Higher Education Studies, 2016
This article focusses on graduate level students' interactions during asynchronous CMC activities of an online course about the teaching profession in Turkey. The instructor of the course designed and facilitated a semester-long asynchronous CMC on forum discussions, and investigated the interaction of learners in multiple perspectives: learners'…
Descriptors: Graduate Students, Asynchronous Communication, Computer Mediated Communication, Online Courses
Li, Shuang; Tang, Qi; Zhang, Yanxia – Canadian Journal of Learning and Technology, 2016
cMOOCs, which are based on connectivist learning theory, bring challenges for learners as well as opportunities for self-inquiry. Previous studies have shown that learners in cMOOCs may have difficulties learning, but these studies do not provide any in-depth, empirical explorations of student difficulties or support strategies. This paper…
Descriptors: Case Studies, Learning Disabilities, Online Courses, Content Analysis
Nave, Rachel; Ackerman, Rakefet; Dori, Yehudit Judy – Interdisciplinary Journal of e-Skills and Lifelong Learning, 2017
Aim/Purpose: These days educators are expected to integrate technological tools into classes. Although they acquire relevant skills, they are often reluctant to use these tools. Background: We incorporated online forums for generating a Community of Inquiry (CoI) in a faculty development program. Extending the Technology, Pedagogy, and Content…
Descriptors: Medical School Faculty, Communities of Practice, Educational Diagnosis, Technology Integration
Schussler, Deborah; Frank, Jennifer; Lee, Tsan-Kuang; Mahfouz, Julia – Journal of Technology and Teacher Education, 2017
Nearly one in three students in the United States today is negatively impacted by bullying. Teachers can play a critical role in stopping bullying-related violence, but many struggle with how to engage students in difficult conversations. Traditional classroom-based pedagogy used to teach communication skills (e.g., modeling & role-play) is…
Descriptors: Computer Simulation, Artificial Intelligence, Role Playing, Teaching Methods
Chung, Kon Shing Kenneth; Paredes, Walter Christian – Educational Technology & Society, 2015
In this study, we develop a theoretical model to investigate the association between social network properties, "content richness" (CR) in academic learning discourse, and performance. CR is the extent to which one contributes content that is meaningful, insightful and constructive to aid learning and by social network properties we…
Descriptors: Social Networks, Online Courses, Educational Technology, Electronic Learning