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Zheng, Yafeng; Gao, Zhanghao; Shen, Jun; Zhai, Xuesong – IEEE Transactions on Learning Technologies, 2023
A text semantic classification is an essential approach to recognizing the verbal intention of online learners, empowering reliable understanding, and inquiry for the regulations of knowledge construction amongst students. However, online learning is increasingly switching from static watching patterns to the collaborative discussion. The current…
Descriptors: Semantics, Classification, Electronic Learning, Computer Mediated Communication
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Priya Sharma; Mahir Akgun; Qiyuan Li – Educational Technology Research and Development, 2024
Networked and digital technologies are increasingly being used for learning in formal and informal contexts, and participant engagement occurs primarily via online discussions. In this paper, we describe an ongoing research project that focuses on examining and understanding student engagement in collaborative online discussions within a formal…
Descriptors: Social Networks, Network Analysis, Discourse Analysis, Classification
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Taniguchi, Yuta; Konomi, Shin'ichi; Goda, Yoshiko – International Association for Development of the Information Society, 2019
This study discusses the automatic coding methods of the Community of Inquiry (CoI) framework for multilingual contexts, in particular. In universities, foreign students cannot be overlooked, and learning systems are also required to work in multilingual situations. However, none of the existing work has addressed the lack of language-agnostic and…
Descriptors: Coding, Multilingualism, Foreign Students, College Students
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Bihani, Ankita; Paepcke, Andreas – International Educational Data Mining Society, 2018
We develop a random forest classifier that helps assign academic credit for a student's class forum participation. The classification target are the four classes created by student rank quartiles. Course content experts provided ground truth by ranking a limited number of post pairs. We expand this labeled set via data augmentation. We compute the…
Descriptors: College Credits, Classification, Computer Mediated Communication, Student Participation
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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
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Fu, Ella L. F.; van Aalst, Jan; Chan, Carol K. K. – International Journal of Computer-Supported Collaborative Learning, 2016
The goal of this study was to develop a classification for a range of discourse patterns that occur in text-based asynchronous discussion forums, and that can aid in the distinction of three modes of discourse: knowledge sharing, knowledge construction, and knowledge building. The dataset was taken from Knowledge Forum® databases in the Knowledge…
Descriptors: Foreign Countries, Classification, Discourse Analysis, Asynchronous Communication
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Piet Kommers, Editor; Inmaculada Arnedillo Sánchez, Editor; Pedro Isaías, Editor – International Association for Development of the Information Society, 2024
These proceedings contain the papers and posters of the 22nd International Conference on e-Society (ES 2024) and 20th International Conference on Mobile Learning (ML 2024), organised by the International Association for Development of the Information Society (IADIS) in Porto, Portugal, during March 9-11, 2024. The e-Society 2024 conference aims to…
Descriptors: Information Technology, Adolescents, Divorce, Health Services
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Srba, Ivan; Bielikova, Maria – IEEE Transactions on Learning Technologies, 2015
In the current time of globalization, collaboration among people in virtual environments is becoming an important precondition of success. This trend is reflected also in the educational domain where students collaborate in various short-term groups created repetitively but changing in each round (e.g. in MOOCs). Students in these kind of dynamic…
Descriptors: Cooperative Learning, Online Courses, Group Dynamics, Feedback (Response)
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Ezen-Can, Aysu; Boyer, Kristy Elizabeth – Journal of Educational Data Mining, 2015
Within the landscape of educational data, textual natural language is an increasingly vast source of learning-centered interactions. In natural language dialogue, student contributions hold important information about knowledge and goals. Automatically modeling the dialogue act of these student utterances is crucial for scaling natural language…
Descriptors: Classification, Dialogs (Language), Computational Linguistics, Information Retrieval
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Tolosa, Constanza; Ordóñez, Claudia Lucía; Alfonso, Tania – PROFILE: Issues in Teachers' Professional Development, 2015
We report on an exploratory study comparing the performance as online tutors of two groups of beginner eleven-year-old students of English in Colombia and Spanish in New Zealand. The native speaker students of the foreign language the others were learning corrected paragraphs written by their peers. The feedback provided by each group of tutors…
Descriptors: Foreign Countries, Feedback (Response), Linguistic Input, Peer Relationship
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Hsu, Yu-Chang; Ching, Yu-Hui – Canadian Journal of Learning and Technology, 2015
Mobile learning has become increasingly popular in the past decade due to the unprecedented technological affordances achieved through the advancement of mobile computing, which makes ubiquitous and situated learning possible. At the same time, there have been research and implementation projects whose efforts centered on developing mobile…
Descriptors: Electronic Learning, Instructional Design, Classification, Models
Hellar, David Benjamin – ProQuest LLC, 2009
The modern military command center is a hybrid system of computer automated surveillance and human oriented decision making. In these distributed cognition systems, data overload refers simultaneously to the glut of raw data processed by information technology systems and the dearth of actionable knowledge useful to human decision makers.…
Descriptors: Cooperative Learning, Information Technology, Classification, Engineering
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Shea, Peter; Gozza-Cohen, Mary; Uzuner, Sedef; Mehta, Ruchi; Valtcheva, Anna Valentinova; Hayes, Suzanne; Vickers, Jason – Educational Media International, 2011
This paper presents both a conceptual and empirical investigation of teaching and learning in online courses. Employing both the Community of Inquiry framework (CoI) and the Structure of Observed Learning Outcomes (SOLO) taxonomy, two complete online courses were examined for the quality of both collaborative learning processes and learning…
Descriptors: Evidence, Electronic Learning, Online Courses, Learning Processes
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McLaren, Bruce M.; Scheuer, Oliver; Miksatko, Jan – International Journal of Artificial Intelligence in Education, 2010
An emerging trend in classrooms is the use of networked visual argumentation tools that allow students to discuss, debate, and argue with one another in a synchronous fashion about topics presented by a teacher. These tools are aimed at teaching students how to discuss and argue, important skills not often taught in traditional classrooms. But how…
Descriptors: Artificial Intelligence, Cooperative Learning, Computer Mediated Communication, Discussion (Teaching Technique)
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Valcke, Martin; De Wever, Bram; Zhu, Chang; Deed, Craig – Internet and Higher Education, 2009
Research in the field of computer supported collaborative learning stresses the need to foster the collaborative process in view of attaining optimal cognitive involvement of all participants, a higher level of metacognitive regulation and an increased level of affective involvement. The present study involved 80 third-year university students,…
Descriptors: Discussion Groups, Program Effectiveness, Classification, Instructional Effectiveness
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