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Macagno, Fabrizio – Studies in Philosophy and Education, 2023
Questions, and more specifically authentic questions, are at the core of dialogue-based learning and teaching. However, what is a question, and how can it be authentic? This paper addresses this problem by analyzing the distinct dimensions of questions, showing how their pragmatic nature is interwoven with the syntactic and semantic one, and how…
Descriptors: Questioning Techniques, Dialogs (Language), Games, Syntax
Peer reviewedClayton Cohn; Surya Rayala; Caitlin Snyder; Joyce Horn Fonteles; Shruti Jain; Naveeduddin Mohammed; Umesh Timalsina; Sarah K. Burriss; Ashwin T. S.; Namrata Srivastava; Menton Deweese; Angela Eeds; Gautam Biswas – Grantee Submission, 2025
Collaborative dialogue offers rich insights into students' learning and critical thinking. This is essential for adapting pedagogical agents to students' learning and problem-solving skills in STEM+C settings. While large language models (LLMs) facilitate dynamic pedagogical interactions, potential hallucinations can undermine confidence, trust,…
Descriptors: STEM Education, Computer Science Education, Artificial Intelligence, Natural Language Processing
Ruseti, Stefan; Dascalu, Maria-Dorinela; Corlatescu, Dragos-Georgian; Dascalu, Mihai; Trausan-Matu, Stefan; McNamara, Danielle S. – Grantee Submission, 2021
Dialogism is a philosophical theory centered on the idea that life involves a dialogue among multiple voices in a continuous exchange and interaction. Considering human language, different ideas or points of view take the form of voices, which spread throughout any discourse and influence it. From a computational point of view, voices can be…
Descriptors: Dialogs (Language), Computational Linguistics, Semantics, Models
Ma, Yingbo; Katuka, Gloria Ashiya; Celepkolu, Mehmet; Boyer, Kristy Elizabeth – Journal of Educational Data Mining, 2023
Collaborative learning has numerous benefits such as enhancing learners' critical thinking, developing social skills, and improving learning gains. While engaging in this interactive process, learners' satisfaction toward their partners plays a crucial role in defining the success of the collaboration. However, detecting learners' satisfaction…
Descriptors: Cooperative Learning, Group Dynamics, Student Satisfaction, Prediction
Anderson, Blythe E.; Wright, Tanya S.; Gotwals, Amelia Wenk – Journal of Literacy Research, 2023
The purpose of this study was to examine the ways in which teachers use language to promote vocabulary development (i.e., vocabulary talk moves) during science instruction in early-elementary classrooms. Twenty-four total science lessons were recorded by eight teachers, providing 894.27 min of observational data across three timepoints. Discourse…
Descriptors: Elementary School Teachers, Science Instruction, Vocabulary, Classroom Communication
Buchholz, Joerg M.; Davis, Chris; Beadle, Julie; Kim, Jeesun – Journal of Speech, Language, and Hearing Research, 2022
Purpose: This study aimed to develop and test a measure of real-time continuous speech understanding to be used with natural dialogues. Method: The measure was based on a category monitoring paradigm and employed five existing recordings of natural dialogues from which the different test categories and associated target words were derived. For…
Descriptors: Speech Communication, Interpersonal Communication, Intelligibility, Comprehension
Chen, Ying-Chih – Science & Education, 2020
Scientific knowledge is advanced because scientists manage uncertainty. Although managing uncertainty is an essential practice of science, transferring it from expert settings to K-12 classrooms is problematic because, understandably, students are not familiar with the intentions of scientists. Few studies have explored learning science as an…
Descriptors: Dialogs (Language), Persuasive Discourse, Teacher Student Relationship, Grade 5
Ma, Yingbo; Katuka, Gloria Ashiya; Celepkolu, Mehmet; Boyer, Kristy Elizabeth – International Educational Data Mining Society, 2022
Collaborative learning is a complex process during which two or more learners exchange opinions, construct shared knowledge, and solve problems together. While engaging in this interactive process, learners' satisfaction toward their partners plays a crucial role in defining the success of the collaboration. If intelligent systems could predict…
Descriptors: Middle School Students, Cooperative Learning, Prediction, Peer Relationship
Maria-Dorinela Dascalu; Stefan Ruseti; Mihai Dascalu; Danielle S. McNamara; Stefan Trausan-Matu – Grantee Submission, 2022
The use of technology as a facilitator in learning environments has become increasingly prevalent with the global pandemic caused by COVID-19. As such, computer-supported collaborative learning (CSCL) gains a wider adoption in contrast to traditional learning methods. At the same time, the need for automated tools capable of assessing and…
Descriptors: Computational Linguistics, Longitudinal Studies, Technology Uses in Education, Teaching Methods
Song, Yu; Lei, Shunwei; Hao, Tianyong; Lan, Zixin; Ding, Ying – Journal of Educational Computing Research, 2021
Due to benefits for teaching and learning, an increasing number of studies have focused on classroom dialogue and how to make it productive. Coding, in which the transcribed conversation is allocated to a set of features, is commonly employed to deal with the textual data arising from this dialogue. This is generally done manually and cannot…
Descriptors: Semantics, Classification, Classroom Communication, Dialogs (Language)
Bondar, Vladimir – International Journal of English Studies, 2021
In the current study, data from A Corpus of English Dialogues (1560-1760) are used to consider contexts with the have-perfect and temporal adverbs of the definite past time such as yesterday, last night, ago. Data analysis is conducted within the framework of a usage-based approach, which gives evidence to the hypothesis that in Early Modern…
Descriptors: Computational Linguistics, English, Form Classes (Languages), Pragmatics
Cai, Zhiqiang; Gong, Yan; Qiu, Qizhi; Hu, Xiangen; Graesser, Art – Grantee Submission, 2016
AutoTutor uses conversational intelligent agents in learning environments. One of the major challenges in developing AutoTutor applications is to assess students' natural language answers to AutoTutor questions. We investigated an AutoTutor dataset with 3358 student answers to 49 AutoTutor questions. In comparisons with human ratings, we found…
Descriptors: Intelligent Tutoring Systems, Natural Language Processing, Dialogs (Language), Programming
Järvikivi, Juhani; Schimke, Sarah; Pyykkönen-Klauck, Pirita – Discourse Processes: A Multidisciplinary Journal, 2019
We often use pronouns like it or they without explicitly mentioned antecedents. We asked whether the human processing system that resolves such indirect pronouns uses the immediate visual-sensory context in multimodal discourse. Our results showed that people had no difficulty understanding conceptually central referents, whether explicitly…
Descriptors: Form Classes (Languages), Discourse Analysis, Semantics, Language Usage
Eshghi, Arash; Healey, Patrick G. T. – Cognitive Science, 2016
Anecdotal evidence suggests that participants in conversation can sometimes act as a coalition. This implies a level of conversational organization in which groups of individuals form a coherent unit. This paper investigates the implications of this phenomenon for psycholinguistic and semantic models of shared context in dialog. We present a…
Descriptors: Interpersonal Communication, Group Unity, Psycholinguistics, Semantics
Marjanovic-Shane, Ana – Dialogic Pedagogy, 2016
In this paper I compare and contrast two educational paradigms that both attempt to overcome alienation often experienced by students in the conventional education. These two educational paradigms are embodied in different educational practices: First, Drama in Education in its widest definition, is based on the Vygotskian views that human…
Descriptors: Drama, Teaching Methods, Group Dynamics, Dialogs (Language)
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