Publication Date
| In 2025 | 6 |
Descriptor
Source
| Reading and Writing: An… | 2 |
| Educational Measurement:… | 1 |
| International Journal of… | 1 |
| Language Awareness | 1 |
| Vocabulary Learning and… | 1 |
Author
| Abdullah Al Fraidan | 1 |
| Ayaka Sugawara | 1 |
| Guher Gorgun | 1 |
| Ivar Bråten | 1 |
| Jimmy Vera-Saavedra | 1 |
| Mónica S. Cárdenas-Claros | 1 |
| Naho Orita | 1 |
| Natalia Roldán-Mora | 1 |
| Okan Bulut | 1 |
| Paula Rodríguez-Arias | 1 |
| Qiao Wang | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 6 |
| Reports - Research | 6 |
Education Level
| Higher Education | 4 |
| Postsecondary Education | 4 |
Audience
Location
| Chile | 1 |
| China | 1 |
| Japan | 1 |
| Norway (Oslo) | 1 |
| Saudi Arabia | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkGuher Gorgun; Okan Bulut – Educational Measurement: Issues and Practice, 2025
Automatic item generation may supply many items instantly and efficiently to assessment and learning environments. Yet, the evaluation of item quality persists to be a bottleneck for deploying generated items in learning and assessment settings. In this study, we investigated the utility of using large-language models, specifically Llama 3-8B, for…
Descriptors: Artificial Intelligence, Quality Control, Technology Uses in Education, Automation
Weiqing Shi; Xin Jiang – Reading and Writing: An Interdisciplinary Journal, 2025
This study explores the effectiveness of machine learning and eye movement features in predicting Chinese reading proficiency. Unlike previous research, which focused on one or two specific levels of eye movement features, this study integrates passage-, sentence- and word-level eye movement features to predict reading proficiency. By analyzing…
Descriptors: Foreign Countries, Undergraduate Students, Predictor Variables, Reading Achievement
Ivar Bråten; Ymkje E. Haverkamp; Øistein Anmarkrud – Reading and Writing: An Interdisciplinary Journal, 2025
The deep cloze test was developed by Jensen and Elbro (Read Writ Interdiscip J 35(5):1221-1237, 2022. https://doi.org/10.1007/s11145-021-10230-w) to assess reading comprehension at the level of global situational understanding. In two independent studies, we examined potential contributors to students' scores on the deep cloze reading…
Descriptors: Cloze Procedure, Reading Comprehension, Reading Tests, Scores
Mónica S. Cárdenas-Claros; Natalia Roldán-Mora; Paula Rodríguez-Arias; Jimmy Vera-Saavedra – Language Awareness, 2025
Playback controls or audio/video control (AVC) buttons are common in technology-enhanced listening materials but are often overlooked in CALL theorizing and research. It is unclear how language learners use AVC buttons when they independently access computer-based L2 listening materials. This qualitative case study aimed to understand how…
Descriptors: Second Language Instruction, Second Language Learning, Computer Assisted Instruction, Listening Comprehension
Abdullah Al Fraidan – International Journal of Distance Education Technologies, 2025
This study explores vocabulary assessment practices in Saudi Arabia's hybrid EFL ecosystem, leveraging platforms like Blackboard and Google Forms. The focus is on identifying prevalent test formats and evaluating their alignment with modern pedagogical goals. To classify vocabulary assessment formats in hybridized EFL contexts and recommend the…
Descriptors: Vocabulary Development, English (Second Language), Second Language Learning, Second Language Instruction
Download full textQiao Wang; Ralph L. Rose; Ayaka Sugawara; Naho Orita – Vocabulary Learning and Instruction, 2025
VocQGen is an automated tool designed to generate multiple-choice cloze (MCC) questions for vocabulary assessment in second language learning contexts. It leverages several natural language processing (NLP) tools and OpenAI's GPT-4 model to produce MCC items quickly from user-specified word lists. To evaluate its effectiveness, we used the first…
Descriptors: Vocabulary Skills, Artificial Intelligence, Computer Software, Multiple Choice Tests
