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Jianing Zhou; Ziheng Zeng; Hongyu Gong; Suma Bhat – Grantee Submission, 2022
Idiomatic expressions (IEs) play an essential role in natural language. In this paper, we study the task of idiomatic sentence paraphrasing (ISP), which aims to paraphrase a sentence with an IE by replacing the IE with its literal paraphrase. The lack of large scale corpora with idiomatic-literal parallel sentences is a primary challenge for this…
Descriptors: Language Patterns, Sentences, Language Processing, Phrase Structure
Jia, Qinjin; Cui, Jialin; Xiao, Yunkai; Liu, Chengyuan; Rashid, Parvez; Gehringer, Edward – International Educational Data Mining Society, 2021
Peer assessment has been widely applied across diverse academic fields over the last few decades, and has demonstrated its effectiveness. However, the advantages of peer assessment can only be achieved with high-quality peer reviews. Previous studies have found that high-quality review comments usually comprise several features (e.g., contain…
Descriptors: Peer Evaluation, Models, Artificial Intelligence, Evaluation Methods
Arthurs, Noah; Alvero, A. J. – International Educational Data Mining Society, 2020
Word vectors are widely used as input features in natural language processing (NLP) tasks. Researchers have found that word vectors often encode the biases of society, and steps have been taken towards debiasing the vectors themselves. However, little has been said about the fairness of the methods used to evaluate the quality of vectors.…
Descriptors: College Admission, Essays, Evaluation Methods, Natural Language Processing
Liu, Chengyuan; Cui, Jialin; Shang, Ruixuan; Xiao, Yunkai; Jia, Qinjin; Gehringer, Edward – International Educational Data Mining Society, 2022
An online peer-assessment system typically allows students to give textual feedback to their peers, with the goal of helping the peers improve their work. The amount of help that students receive is highly dependent on the quality of the reviews. Previous studies have investigated using machine learning to detect characteristics of reviews (e.g.,…
Descriptors: Peer Evaluation, Feedback (Response), Computer Mediated Communication, Teaching Methods
Mao, Ye; Shi, Yang; Marwan, Samiha; Price, Thomas W.; Barnes, Tiffany; Chi, Min – International Educational Data Mining Society, 2021
As students learn how to program, both their programming code and their understanding of it evolves over time. In this work, we present a general data-driven approach, named "Temporal-ASTNN" for modeling student learning progression in open-ended programming domains. Temporal-ASTNN combines a novel neural network model based on abstract…
Descriptors: Programming, Computer Science Education, Learning Processes, Learning Analytics
Zhongdi Wu; Eric Larson; Makoto Sano; Doris Baker; Nathan Gage; Akihito Kamata – Grantee Submission, 2023
In this investigation we propose new machine learning methods for automated scoring models that predict the vocabulary acquisition in science and social studies of second grade English language learners, based upon free-form spoken responses. We evaluate performance on an existing dataset and use transfer learning from a large pre-trained language…
Descriptors: Prediction, Vocabulary Development, English (Second Language), Second Language Learning
Crossley, Scott; Allen, Laura K.; Snow, Erica L.; McNamara, Danielle S. – Grantee Submission, 2015
This study investigates a new approach to automatically assessing essay quality that combines traditional approaches based on assessing textual features with new approaches that measure student attributes such as demographic information, standardized test scores, and survey results. The results demonstrate that combining both text features and…
Descriptors: Automation, Scoring, Essays, Evaluation Methods
Baker, Eva L.; And Others – 1988
Evaluation models are being developed for assessing artificial intelligence (AI) systems in terms of similar performance by groups of people. Natural language understanding and vision systems are the areas of concentration. In simplest terms, the goal is to norm a given natural language system's performance on a sample of people. The specific…
Descriptors: Artificial Intelligence, Comparative Analysis, Computer Assisted Testing, Computer Science
Scheffel, Debora L. – 1997
A study examined the differences between 17 children with language disorders and 20 children with normal language development (ages 8-13) in the way they developed shared knowledge with an adult using an interactive communication task. The structure interaction map task involved the child describing a route through a simple schematic map to an…
Descriptors: Children, Disability Identification, Discriminant Analysis, Elementary Education
Gonzalez, Virginia – 1993
A method for assessing the cognitive and linguistic stages of second language learning in individuals is discussed. The approach is based on a psycholinguistic theory that views language learning as a process of concept formation in three domains: cognitive, cultural, and linguistic. According to the model presented, Spanish-English bilingual…
Descriptors: Case Studies, Clinical Diagnosis, Cognitive Processes, Concept Formation
Kluwin, Thomas N.; Papalia, Julie – 1989
Thirty hearing-impaired children at a residential school for the deaf, a day school for the deaf, and a day program for the deaf in a regular public elementary school were shown picture books, asked to tell the story, and asked to respond to specific questions. Results showed that the ability to process questions was related to the structure of…
Descriptors: Comprehension, Elementary Education, Evaluation Methods, Hearing Impairments