Publication Date
| In 2026 | 0 |
| Since 2025 | 3 |
| Since 2022 (last 5 years) | 39 |
| Since 2017 (last 10 years) | 69 |
| Since 2007 (last 20 years) | 97 |
Descriptor
| Computer Assisted Testing | 98 |
| Middle School Students | 44 |
| Elementary School Students | 34 |
| Grade 5 | 30 |
| English Language Learners | 28 |
| Grade 8 | 27 |
| Language Tests | 27 |
| Language Arts | 26 |
| Mathematics Tests | 24 |
| Scores | 22 |
| Grade 6 | 21 |
| More ▼ | |
Source
Author
| Petscher, Yaacov | 6 |
| Alonzo, Julie | 5 |
| Anderson, Daniel | 5 |
| Goodwin, Amanda P. | 5 |
| Tindal, Gerald | 5 |
| Park, Bitnara Jasmine | 4 |
| Reynolds, Dan | 4 |
| Guzman-Orth, Danielle | 3 |
| Tock, Jamie | 3 |
| Zapata-Rivera, Diego | 3 |
| Abedi, Jamal | 2 |
| More ▼ | |
Publication Type
Education Level
| Middle Schools | 98 |
| Junior High Schools | 73 |
| Secondary Education | 73 |
| Elementary Education | 66 |
| Intermediate Grades | 40 |
| Grade 5 | 34 |
| Grade 8 | 29 |
| Grade 6 | 25 |
| Grade 7 | 24 |
| Grade 4 | 23 |
| Grade 3 | 20 |
| More ▼ | |
Audience
| Administrators | 7 |
| Teachers | 7 |
Location
| New York | 15 |
| China | 5 |
| California | 4 |
| Massachusetts | 3 |
| Nebraska | 3 |
| Texas | 3 |
| Connecticut | 2 |
| Germany | 2 |
| Japan | 2 |
| Japan (Tokyo) | 2 |
| North Carolina | 2 |
| More ▼ | |
Laws, Policies, & Programs
| No Child Left Behind Act 2001 | 2 |
Assessments and Surveys
| Gates MacGinitie Reading Tests | 3 |
| Massachusetts Comprehensive… | 2 |
| Measures of Academic Progress | 2 |
| National Assessment of… | 2 |
| Program for International… | 2 |
| Foreign Language Classroom… | 1 |
| Test of English as a Foreign… | 1 |
What Works Clearinghouse Rating
Kao, Yu-Ting; Kuo, Hung-Chih – Interactive Learning Environments, 2023
This study implemented the principles of dynamic assessment (DA) with computer technology, iSpring Quiz Maker, to (1) identify the English listening difficulties of 172 L2 English learners; (2) diagnose their individual learning needs, and (3) promote their future potential abilities. Upon evaluating the participating junior high school students'…
Descriptors: Listening Comprehension Tests, English (Second Language), Second Language Learning, Second Language Instruction
Lopez, Alexis A.; Guzman-Orth, Danielle; Zapata-Rivera, Diego; Forsyth, Carolyn M.; Luce, Christine – ETS Research Report Series, 2021
Substantial progress has been made toward applying technology enhanced conversation-based assessments (CBAs) to measure the English-language proficiency of English learners (ELs). CBAs are conversation-based systems that use conversations among computer-animated agents and a test taker. We expanded the design and capability of prior…
Descriptors: Accuracy, English Language Learners, Language Proficiency, Language Tests
David Allen; Rie Koizumi – Language Assessment Quarterly, 2024
"The English Speaking Achievement Test for Japanese Junior High School Students" (ESAT-J) was introduced to contribute to levelling up public English education in Tokyo in 2022. Critics, however, have made claims in the mass media against the use of the test and stakeholder groups have called for its cancellation. This paper presents an…
Descriptors: English (Second Language), Second Language Learning, Foreign Countries, Junior High School Students
Miao Li; Yueming Xi; Esther Geva; Rong Yan; Wei Zhao – Reading and Writing: An Interdisciplinary Journal, 2025
It has been suggested that the reading acceleration program (RAP) (Breznitz et al. in Nature Communications 4: 1486, 2013), in which participants are forced to read at a rate faster than their normal reading fluency rate, improves reading fluency and comprehension in alphabetic languages. However, its effectiveness has never been examined in…
Descriptors: Foreign Countries, Grade 5, Reading Instruction, English (Second Language)
Ying Xu; Xiaodong Li; Jin Chen – Language Testing, 2025
This article provides a detailed review of the Computer-based English Listening Speaking Test (CELST) used in Guangdong, China, as part of the National Matriculation English Test (NMET) to assess students' English proficiency. The CELST measures listening and speaking skills as outlined in the "English Curriculum for Senior Middle…
Descriptors: Computer Assisted Testing, English (Second Language), Language Tests, Listening Comprehension Tests
Reinwein, Joachim; Tassé, Serge – Journal of Psycholinguistic Research, 2022
Are oral sentences accompanied by pictures easier to understand than written sentences accompanied by the same pictures? This question--intensely discussed for more than two decades in educational, psychological, and psycholinguistic research in terms of "modality effect in multimedia learning," "split-attention effect," or…
Descriptors: Psycholinguistics, Task Analysis, Sentences, Illustrations
Goodwin, Amanda P.; Petscher, Yaacov; Tock, Jamie; McFadden, Sara; Reynolds, Dan; Lantos, Tess; Jones, Sara – Assessment for Effective Intervention, 2022
Assessment of language skills for upper elementary and middle schoolers is important due to the strong link between language and reading comprehension. Yet, currently few practical, reliable, valid, and instructionally informative assessments of language exist. This study provides validation evidence for Monster, P.I., which is a gamified,…
Descriptors: Adaptive Testing, Computer Assisted Testing, Language Tests, Vocabulary
Chen, Jianlin – International Journal of Bilingual Education and Bilingualism, 2020
The parasitic model proposes that novel words in L3 learning will build parasitic connections to already learned words that share orthographic or phonological similarities. This accounts for little in terms of the connections between words that share very few similarities. The present study explored the parasitic connections of L3 word concepts to…
Descriptors: Multilingualism, Native Language, Second Language Learning, English (Second Language)
François, Jennifer; Albakry, Mohammed – Language Learning & Technology, 2021
While fluency in second language speaking can be a challenging construct to measure, it is important to identify the discourse features that contribute to it. This small-scale classroom research project examined the effect of formulaic language sequences on fluency as measured by computer-based speaking tasks of young English learners. Thirty-six…
Descriptors: Phrase Structure, Computer Software, Predictor Variables, Computer Assisted Testing
Héctor Raúl Ponce; Richard E. Mayer; Jirarat Sitthiworachart; Mario José López; Ester E. Méndez – Instructional Science: An International Journal of the Learning Sciences, 2025
This study examines the impact of incorporating cloze tests during pauses in classroom instruction as retrieval practice activities, using Audience Response Systems (ARS) for delivery. While ARSs traditionally rely on multiple-choice questions, cloze tests offer a potentially efficient alternative that aligns with retrieval practice principles.…
Descriptors: Cloze Procedure, Audience Response Systems, Recall (Psychology), Elementary School Students
Mohammad Ahmar Khan; Oysha Kurbonova; Diyorjon Abdullaev; A. Hussien Radie; Nirvana Basim – Language Testing in Asia, 2024
This study investigates the impact of artificial intelligence (AI)-assisted assessment on young L2 learners' vocabulary knowledge, immunity, and resilience, considering parental and teacher support roles. Sixty junior high school students in Afghanistan, aged 13 to 14, participated in the study. They were divided into an experimental group…
Descriptors: Artificial Intelligence, Resilience (Psychology), Vocabulary Development, Parent Participation
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
Yi Gui – ProQuest LLC, 2024
This study explores using transfer learning in machine learning for natural language processing (NLP) to create generic automated essay scoring (AES) models, providing instant online scoring for statewide writing assessments in K-12 education. The goal is to develop an instant online scorer that is generalizable to any prompt, addressing the…
Descriptors: Writing Tests, Natural Language Processing, Writing Evaluation, Scoring
Niimi, Noriyasu; Matsuura, Nobukazu – Language Testing in Asia, 2022
Introduction: This paper describes the exploratory case and initial evaluation of the computer-based testing (CBT) prototype. The advantage of CBT over paper-based testing (PBT) is that it allows us to control the order of questions and provides test takers with continuous tasks capturing their thought processes. Additionally, their response…
Descriptors: Foreign Countries, Junior High School Students, Computer Assisted Testing, Reaction Time
Tzu-Hua Wang; Yu Sun; Nai-Wen Huang – Computer Assisted Language Learning, 2023
This research applied a web-based dynamic assessment system, GPAM-WATA system, to help low English achievers to perform self-directed learning of junior high school English grammar. A quasi-experimental design was adopted. A total of 124 seventh graders from four classes participated in this research. Participants were randomly divided into the…
Descriptors: Foreign Countries, Junior High School Students, English (Second Language), Second Language Learning

Peer reviewed
Direct link
