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Khlaif, Zuheir; Nadiruzzaman, Hamid; Kwon, Kyungbin – Journal of Educational Issues, 2017
The purpose of this paper is to identify the types of students' interaction, as well as their discussion patterns in an online course. The study took place in a large Midwestern University and 17 graduate students participated in the study. The primary data was obtained from students' discussion forum postings. The researchers used both…
Descriptors: Case Studies, Interaction, Computer Mediated Communication, Online Courses
Kosh, Audra E.; Greene, Jeffrey A.; Murphy, P. Karen; Burdick, Hal; Firetto, Carla M.; Elmore, Jeff – Educational Measurement: Issues and Practice, 2018
We explored the feasibility of using automated scoring to assess upper-elementary students' reading ability through analysis of transcripts of students' small-group discussions about texts. Participants included 35 fourth-grade students across two classrooms that engaged in a literacy intervention called Quality Talk. During the course of one…
Descriptors: Computer Assisted Testing, Small Group Instruction, Group Discussion, Student Evaluation
Kosh, Audra E.; Greene, Jeffrey A.; Murphy, P. Karen; Burdick, Hal; Firetto, Carla M.; Elmore, Jeff – Grantee Submission, 2018
We explored the feasibility of using automated scoring to assess upper-elementary students' reading ability through analysis of transcripts of students' small-group discussions about texts. Participants included 35 fourth-grade students across two classrooms that engaged in a literacy intervention called Quality Talk. During the course of one…
Descriptors: Computer Assisted Testing, Small Group Instruction, Group Discussion, Student Evaluation
Lim, Janine; Hall, Barbara M. – Quarterly Review of Distance Education, 2015
Rigorous interaction between peers has been an elusive goal in online asynchronous discussions. Intersubjectivity, the goal of peer-to-peer interaction, is a representation of a higher quality of synthesis. It is the representation of knowledge construction achieved through a synergistic progression from individual contributions to sequences of…
Descriptors: Online Courses, Educational Technology, Content Analysis, Peer Relationship
Chieu, Vu Minh; Kosko, Karl W.; Herbst, Patricio G. – Journal of Teacher Education, 2015
It has been common to use video records of instruction in teacher professional development, but participants have rarely been encouraged to evaluate teachers and students' actions in those records, allegedly because evaluation deters from the development of a professional discourse. In this study, we inspected teachers' online discussions of…
Descriptors: Faculty Development, Protocol Analysis, Protocol Materials, Discourse Analysis
Tan, Aik Ling; Hong, Huaqing – International Journal of Science Education, 2014
This paper examines learning of science in 15 grade nine classrooms by analyzing the type of talk that teachers engaged in. Using transcripts from audio recordings that are part of the Singapore Corpus of Research in Education database, annotations were carried out on the phrases of teacher talk using Mortimer and Scott's framework for meaning…
Descriptors: High School Students, Grade 9, Science Education, Foreign Countries
Österholm, Magnus – Mathematics Education Research Group of Australasia, 2012
This study focuses on a distinction between process- and object-oriented discourses when characterising the discourse of university students' summaries of lectures and examining connections between students' discourse and the discourse of lectures. Results show that students' discourse in general tends to be process-oriented, by their use of…
Descriptors: Mathematics Instruction, Discourse Analysis, Lecture Method, Comparative Analysis
Aviv, Reuven; Erlich, Zippy; Ravid, Gilad – Educational Technology & Society, 2005
Theoretical foundation of Response mechanisms in networks of online learners are revealed by Statistical Analysis of p* Markov Models for the Networks. Our comparative analysis of two networks shows that the minimal-effort hunt-for-social-capital mechanism controls a major behavior of both networks: negative tendency to respond. Differences in…
Descriptors: Statistical Analysis, Educational Technology, Comparative Analysis, Peer Influence

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