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Shan Li; Xiaoshan Huang; Tingting Wang; Juan Zheng; Susanne P. Lajoie – Journal of Computing in Higher Education, 2025
Coding think-aloud transcripts is time-consuming and labor-intensive. In this study, we examined the feasibility of predicting students' reasoning activities based on their think-aloud transcripts by leveraging the affordances of text mining and machine learning techniques. We collected the think-aloud data of 34 medical students as they diagnosed…
Descriptors: Information Retrieval, Artificial Intelligence, Prediction, Abstract Reasoning
Liu, Houjun; MacWhinney, Brian; Fromm, Davida; Lanzi, Alyssa – Journal of Speech, Language, and Hearing Research, 2023
Purpose: A major barrier to the wider use of language sample analysis (LSA) is the fact that transcription is very time intensive. Methods that can reduce the required time and effort could help in promoting the use of LSA for clinical practice and research. Method: This article describes an automated pipeline, called Batchalign, that takes raw…
Descriptors: Automation, Language Tests, Computational Linguistics, Morphology (Languages)
Linxuan Zhao; Dragan Gaševic; Zachari Swiecki; Yuheng Li; Jionghao Lin; Lele Sha; Lixiang Yan; Riordan Alfredo; Xinyu Li; Roberto Martinez-Maldonado – British Journal of Educational Technology, 2024
Effective collaboration and teamwork skills are critical in high-risk sectors, as deficiencies in these areas can result in injuries and risk of death. To foster the growth of these vital skills, immersive learning spaces have been created to simulate real-world scenarios, enabling students to safely improve their teamwork abilities. In such…
Descriptors: Automation, Transcripts (Written Records), Coding, Teamwork
Kimberly E. Beck; Jessica F. Shumway; Patrick Ocran; Jody Clarke-Midura; Mimi Recker – International Journal of Education in Mathematics, Science and Technology, 2025
Expansive Framing (EF) is a theory and an instructional technique to facilitate connections between content and contexts. We employed EF as an approach to create a series of integrated mathematics and computer science (CS) lessons, using digital technology as a tool to leverage shared mathematical and computational ideas. We used deductive…
Descriptors: Mathematics Instruction, Computer Science Education, Grade 5, Elementary School Teachers
Carla Wood; Miguel Garcia-Salas; Christopher Schatschneider – Grantee Submission, 2023
Purpose: The aim of this study was to advance the analysis of written language transcripts by validating an automated scoring procedure using an automated open-access tool for calculating morphological complexity (MC) from written transcripts. Method: The MC of words in 146 written responses of students in fifth grade was assessed using two…
Descriptors: Automation, Computer Assisted Testing, Scoring, Computation
Farley, Jennifer; Duppong Hurley, Kristin; Aitken, A. Angelique – Grantee Submission, 2020
This project explored the reliability and utility of transcription in coding qualitative data across two studies in a program evaluation context. The first study tested the method of direct audio coding, or coding audio files without transcripts, using qualitative data software. The presence and frequency of codes applied in direct audio coding…
Descriptors: Program Implementation, Audio Equipment, Coding, Usability
Diane A. Ogiela; Sarah A. Aldrich – Teaching and Learning in Communication Sciences & Disorders, 2023
Although language sample analysis (LSA) is considered an important tool for high-quality child language assessment, surveys have found that its use is quite limited by school-based speech-language pathologists (SLPs). Two of the reasons often cited are limited time and limited expertise (Kemp & Klee, 1997; Pavelko et al., 2016). This study…
Descriptors: Speech Language Pathology, Communication Disorders, Allied Health Occupations Education, Transcripts (Written Records)
Lämsä, Joni; Uribe, Pablo; Jiménez, Abelino; Caballero, Daniela; Hämäläinen, Raija; Araya, Roberto – Journal of Learning Analytics, 2021
Scholars have applied automatic content analysis to study computer-mediated communication in computer-supported collaborative learning (CSCL). Since CSCL also takes place in face-to-face interactions, we studied the automatic coding accuracy of manually transcribed face-to-face communication. We conducted our study in an authentic higher-education…
Descriptors: Cooperative Learning, Computer Assisted Instruction, Synchronous Communication, Learning Analytics
Lottero-Perdue, Pamela S.; Mikeska, Jamie N.; Nester, M. Shae – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2022
In this report of an action research study, the authors describe how one elementary science teacher educator used transcript coding of simulated classroom discussions as a pedagogical approach to learn about her elementary preservice teachers' (PSTs') abilities to notice key aspects of scientific argumentation discussions. Elementary PSTs (n = 19)…
Descriptors: Preservice Teachers, Preservice Teacher Education, Science Instruction, Persuasive Discourse
Barrett, Courtenay A.; Newman, Daniel S.; Lords, Paul O.; Ritter, Chelsea; Cottrell, Joseph M. – School Psychology, 2019
Given the importance of consultation in school psychology practice, more research is needed to examine the types of interpersonal communication through which consultation is effective. This study revisited Erchul and Schulte (1990), which investigated the amount of transcription and coding of consultation sessions required for reliable and…
Descriptors: School Psychology, School Psychologists, Consultation Programs, Interpersonal Communication
James, Jennifer Hauver; Kobe, Jessica F.; Zhao, Xiaoying – Teachers College Record, 2017
Background/Context: Research reveals that peer dialogue can contribute to improved cognitive ability and reasoning, increased tolerance for difference, and appreciation for talk as a means of problem solving. When invited to participate in such dialogue, however, not all children do, and often, degrees of engagement reflect demographic patterns.…
Descriptors: Children, Trust (Psychology), Peer Relationship, Interpersonal Communication
Biasutti, Michele – Technology, Pedagogy and Education, 2017
The current study describes the development of a content analysis coding scheme to examine transcripts of online asynchronous discussion groups in higher education. The theoretical framework comprises the theories regarding knowledge construction in computer-supported collaborative learning (CSCL) based on a sociocultural perspective. The coding…
Descriptors: Asynchronous Communication, Computer Mediated Communication, Content Analysis, Coding
Alghasab, Maha; Handley, Zöe – Computer Assisted Language Learning, 2017
Wikis are "convergent media" which allow authors to work and make meaning across, as well as within, the two modes of interaction. In order to obtain a true picture of the nature of student-student (non-) collaboration in wiki mediated writing activities, this paper therefore argues that it is necessary to examine students' discussion…
Descriptors: Collaborative Writing, Web 2.0 Technologies, High School Students, Foreign Countries
MacPherson, Anna C. – Science Education, 2016
This study sought to investigate the arguments that ecologists engage in as part of their work and to compare their arguments with the way in which ecological arguments have been presented in school argumentation tasks. Ten ecologists, in subfields ranging from individual/behavioral ecology to global ecology, participated in semistructured…
Descriptors: Comparative Analysis, Ecology, Scientists, Persuasive Discourse
Parsons, Caroline S. – Journal of the Scholarship of Teaching and Learning, 2017
By analyzing the audio recording and transcription of classroom discourse, this case study focused on the ways in which the instructor used follow-up statements to socialize students into intellectual talk. Four relevant categories of follow-up statements emerged: (a) revoicing, (b) contextualization, (c) parallel elaboration, and (d) assistive…
Descriptors: Undergraduate Students, Classroom Communication, Socialization, Discourse Analysis

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