NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Showing 1 to 15 of 18 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Liu, Zhi; Kong, Xi; Chen, Hao; Liu, Sannyuya; Yang, Zongkai – IEEE Transactions on Learning Technologies, 2023
In a massive open online courses (MOOCs) learning environment, it is essential to understand students' social knowledge constructs and critical thinking for instructors to design intervention strategies. The development of social knowledge constructs and critical thinking can be represented by cognitive presence, which is a primary component of…
Descriptors: MOOCs, Cognitive Processes, Students, Models
Peer reviewed Peer reviewed
Direct linkDirect link
Deliang Wang; Cunling Bian; Gaowei Chen – British Journal of Educational Technology, 2024
Deep neural networks are increasingly employed to model classroom dialogue and provide teachers with prompt and valuable feedback on their teaching practices. However, these deep learning models often have intricate structures with numerous unknown parameters, functioning as black boxes. The lack of clear explanations regarding their classroom…
Descriptors: Artificial Intelligence, Dialogs (Language), Discourse Analysis, Trust (Psychology)
Peer reviewed Peer reviewed
Direct linkDirect link
Sharon Ultsch; Lizzy Pope; Holly Buckland Parker – Journal of Faculty Development, 2022
There is growing interest in reenergizing SoTL as a public scholarship that engages civic conversational spaces and debates about our most pressing public issues (Chick, 2019; Friberg, 2020). In the COVID landscape, debates on re- forming higher education -- often foreclosed within our neoliberal university contexts (Giroux, 2014, 2017) --…
Descriptors: Faculty Development, Models, Transformative Learning, Educational Change
Demszky, Dorottya; Liu, Jing; Mancenido, Zid; Cohen, Julie; Hill, Heather C.; Jurafsky, Dan; Hashimoto, Tatsunori – Annenberg Institute for School Reform at Brown University, 2021
In conversation, "uptake" happens when a speaker builds on the contribution of their interlocutor by, for example, acknowledging, repeating or reformulating what they have said. In education, teachers' uptake of student contributions has been linked to higher student achievement. Yet measuring and improving teachers' uptake at scale is…
Descriptors: Interpersonal Communication, Teacher Student Relationship, Discourse Analysis, Measurement Techniques
Peer reviewed Peer reviewed
Direct linkDirect link
López de Aguileta, Garazi; Torras-Gómez, Elisabeth; García-Carrión, Rocío; Flecha, Ramon – Language and Education, 2020
The dialogic nature of human beings has widely been argued in the scientific literature. Language, as a cultural and psychological tool, has the potential to construct social meanings, including those related to love, attraction and desire. In these emotional dimensions of the self, people use 'the language of desire', defined as the capacity of…
Descriptors: Ethics, Language Usage, Literary Criticism, Intervention
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Barrett, Martyn; Byram, Michael – Intercultural Communication Education, 2020
In a recent paper, Simpson and Dervin (2019a) offer a radical critique of the Council of Europe's "Reference Framework of Competences for Democratic Culture" (RFCDC). However, Simpson and Dervin's paper contains numerous factual errors, interpretative errors and category errors in its description of the RFCDC. We identify 12 such errors…
Descriptors: Criticism, Guidelines, Error Patterns, Misconceptions
Peer reviewed Peer reviewed
PDF on ERIC Download full text
McGowan, Ian S. – International Association for Development of the Information Society, 2020
Upto now, the knowledge building influence of the fundamental communicative functions during an on-line collaborative learning (OLCL) session, i.e. argumentative, responsive, elicitative, informative and imperative have been mainly based on results from qualitative studies, results that could have been strengthened by quantitative approaches.…
Descriptors: Higher Education, Online Courses, Cooperative Learning, Computer Science Education
Peer reviewed Peer reviewed
Direct linkDirect link
Park, Su-Kyeong – EURASIA Journal of Mathematics, Science & Technology Education, 2016
This study proposed an analytic framework for coding students' dialogic argumentation and investigated the characteristics of the small-group argumentation pattern observed in modeling-based learning. The participants were 122 second grade high school students in South Korea divided into an experimental and a comparison group. Modeling-based…
Descriptors: Foreign Countries, High School Students, Persuasive Discourse, Discourse Analysis
Samei, Borhan; Olney, Andrew M.; Kelly, Sean; Nystrand, Martin; D'Mello, Sidney; Blanchard, Nathan; Graesser, Art – International Educational Data Mining Society, 2015
It has previously been shown that the effective use of dialogic instruction has a positive impact on student achievement. In this study, we investigate whether linguistic features used to classify properties of classroom discourse generalize across different subpopulations. Results showed that the machine learned models perform equally well when…
Descriptors: Academic Discourse, Discourse Analysis, Dialogs (Language), Instruction
Kazemzadeh, Abe – ProQuest LLC, 2013
This dissertation studies how people describe emotions with language and how computers can simulate this descriptive behavior. Although many non-human animals can express their current emotions as social signals, only humans can communicate about emotions symbolically. This symbolic communication of emotion allows us to talk about emotions that we…
Descriptors: Natural Language Processing, Psychological Patterns, Computer Simulation, Discourse Analysis
Peer reviewed Peer reviewed
Wilson, Thomas P.; Zimmerman, Don H. – Discourse Processes, 1986
Indicates a periodic structure in the distribution of between-turn silences in two-party conversation, a finding that is inconsistent with current stochastic or signaling models, which view social interaction as an exchange of stimuli and responses. Finds that social interaction is fundamentally a collaborative activity. (JD)
Descriptors: Communication Research, Cooperation, Dialogs (Language), Discourse Analysis
Woolf, Beverly; McDonald, David D. – AEDS Monitor, 1985
Description of several computerized tutoring systems is organized around types of knowledge any tutor must possess--subject area, student's information, and how to teach and communicate. Data and control structures of Meno-tutor are described to illustrate use of artificial intelligence to model the student, a domain, and teaching strategies. (MBR)
Descriptors: Artificial Intelligence, Cognitive Processes, Communication (Thought Transfer), Design Requirements
Vuchinich, Samuel – 1979
The study described here offers a model of target-context relations in language comprehension. It is based on the hypothesis that the same formal mechanisms that produce cohesion in discourse and texts are critically involved in language comprehension. The model posits that: (1) the comprehension of a target turn is primarily dependent on the…
Descriptors: Comprehension, Context Clues, Dialogs (Language), Discourse Analysis
Gremmo, M.-J.; And Others – 1978
Turn-taking in language classroom discourse is analyzed in order to discover patterns of instructional teacher-pupil exchange. It is concluded that traditional modes of second language instruction (especially in English as a second language) tend to stifle student initiative. Since students rarely have the opportunity to open an exchange, it is…
Descriptors: Conversational Language Courses, Dialogs (Language), Discourse Analysis, English (Second Language)
Peer reviewed Peer reviewed
Direct linkDirect link
Kim, Jung Hee; Freedman, Reva; Glass, Michael; Evens, Martha W. – Discourse Processes: A Multidisciplinary Journal, 2006
We annotated transcripts of human tutoring dialogue for the purpose of constructing a dialogue-based intelligent tutoring system, CIRCSIM-Tutor. The tutors were professors of physiology who were also expert tutors. The students were 1st year medical students who communicated with the tutors using typed communication from separate rooms. The tutors…
Descriptors: Tutors, Tutoring, Physiology, Natural Language Processing
Previous Page | Next Page »
Pages: 1  |  2