Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 3 |
Since 2006 (last 20 years) | 7 |
Descriptor
Computer Assisted Instruction | 7 |
Correlation | 7 |
Natural Language Processing | 7 |
Prediction | 4 |
College Students | 3 |
Computational Linguistics | 3 |
Data Analysis | 3 |
English (Second Language) | 3 |
Foreign Countries | 3 |
Models | 3 |
Second Language Instruction | 3 |
More ▼ |
Source
International Educational… | 2 |
Computer Assisted Language… | 1 |
Grantee Submission | 1 |
International Association for… | 1 |
International Journal of… | 1 |
Online Submission | 1 |
Author
Allen, Laura K. | 1 |
Barker, Kennis E. | 1 |
Flynn, Lauren E. | 1 |
Forbes-Riley, Kate | 1 |
Goh, Tiong-Thye | 1 |
Isahara, Hitoshi | 1 |
Kotani, Katsunori | 1 |
Lindsay, Grace C. | 1 |
Litman, Diane | 1 |
McClure, Caleb M. | 1 |
McNamara, Danielle S. | 1 |
More ▼ |
Publication Type
Reports - Research | 5 |
Journal Articles | 3 |
Speeches/Meeting Papers | 3 |
Collected Works - Proceedings | 1 |
Reports - Evaluative | 1 |
Education Level
Higher Education | 5 |
Postsecondary Education | 4 |
Elementary Secondary Education | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
Dale Chall Readability Formula | 1 |
Flesch Kincaid Grade Level… | 1 |
Flesch Reading Ease Formula | 1 |
SAT (College Admission Test) | 1 |
Test of English for… | 1 |
What Works Clearinghouse Rating
Öncel, Püren; Flynn, Lauren E.; Sonia, Allison N.; Barker, Kennis E.; Lindsay, Grace C.; McClure, Caleb M.; McNamara, Danielle S.; Allen, Laura K. – Grantee Submission, 2021
Automated Writing Evaluation systems have been developed to help students improve their writing skills through the automated delivery of both summative and formative feedback. These systems have demonstrated strong potential in a variety of educational contexts; however, they remain limited in their personalization and scope. The purpose of the…
Descriptors: Computer Assisted Instruction, Writing Evaluation, Formative Evaluation, Summative Evaluation
Goh, Tiong-Thye; Sun, Hui; Yang, Bing – Computer Assisted Language Learning, 2020
This study investigates the extent to which microfeatures -- such as basic text features, readability, cohesion, and lexical diversity based on specific word lists -- affect Chinese EFL writing quality. Data analysis was conducted using natural language processing, correlation analysis and stepwise multiple regression analysis on a corpus of 268…
Descriptors: Essays, Writing Tests, English (Second Language), Second Language Learning
Reilly, Joseph M.; Schneider, Bertrand – International Educational Data Mining Society, 2019
Collaborative problem solving in computer-supported environments is of critical importance to the modern workforce. Coworkers or collaborators must be able to co-create and navigate a shared problem space using discourse and non-verbal cues. Analyzing this discourse can give insights into how consensus is reached and can estimate the depth of…
Descriptors: Problem Solving, Discourse Analysis, Cooperative Learning, Computer Assisted Instruction
Nye, Benjamin D.; Morrison, Donald M.; Samei, Borhan – International Educational Data Mining Society, 2015
Archived transcripts from tens of millions of online human tutoring sessions potentially contain important knowledge about how online tutors help, or fail to help, students learn. However, without ways of automatically analyzing these large corpora, any knowledge in this data will remain buried. One way to approach this issue is to train an…
Descriptors: Tutoring, Instructional Effectiveness, Tutors, Models
Forbes-Riley, Kate; Litman, Diane – International Journal of Artificial Intelligence in Education, 2013
In this paper we investigate how student disengagement relates to two performance metrics in a spoken dialog computer tutoring corpus, both when disengagement is measured through manual annotation by a trained human judge, and also when disengagement is measured through automatic annotation by the system based on a machine learning model. First,…
Descriptors: Correlation, Learner Engagement, Oral Language, Computer Assisted Instruction
A Prediction Model of Foreign Language Reading Proficiency Based on Reading Time and Text Complexity
Kotani, Katsunori; Yoshimi, Takehiko; Isahara, Hitoshi – Online Submission, 2010
In textbooks, foreign (second) language reading proficiency is often evaluated through comprehension questions. In case, authentic texts are used as reading material, such questions should be prepared by teachers. However, preparing appropriate questions may be a very demanding task for teachers. This paper introduces a method for automatically…
Descriptors: Foreign Countries, Reading Comprehension, Reading Materials, Predictive Measurement
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers