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Lishi Liang; W. L. Quint Oga-Baldwin; Kaori Nakao; Luke K. Fryer; Alex Shum – Technology in Language Teaching & Learning, 2024
Phonological processing of written characters has been recognized as a crucial element in acquiring literacy in any language, both native and foreign. This study aimed to assess Japanese primary school students' phoneme-grapheme recognition skills using both paper-based and touch-interface tests. Differences between the two test formats and the…
Descriptors: Phoneme Grapheme Correspondence, Language Tests, Gamification, Elementary School Students
Tobias Haug; Franz Holzknecht; Wolfgang Mann – Language Education & Assessment, 2024
This study investigated through an online survey how sign language practitioners changed their sign language assessment practices during the COVID-19 pandemic. The survey consisted of five sections and 29 questions overall. It was provided in written English and German as well as in International Sign and was administered online between October…
Descriptors: Sign Language, COVID-19, Pandemics, Evaluation
Andrea Révész; Hyeonjeong Jeong; Shungo Suzuki; Haining Cui; Shunsui Matsuura; Kazuya Saito; Motoaki Sugiura – Studies in Second Language Acquisition, 2024
The last three decades have seen significant development in understanding and describing the effects of task complexity on learner internal processes. However, researchers have primarily employed behavioral methods to investigate task-generated cognitive load. Being the first to adopt neuroimaging to study second language (L2) task effects, we…
Descriptors: Foreign Countries, English (Second Language), Second Language Learning, Decision Making Skills
Ken Fujita; Mitsuo Ishida – Reading Matrix: An International Online Journal, 2024
Readers should construct a coherent discourse during reading comprehension. The ability to build coherence has been examined using coherence and cohesion judgment tasks. Although eye-tracking studies have been conducted on building coherence or processing cohesion among native language users, few such studies have been conducted with second…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Foreign Countries
Takahiro Terao – Applied Measurement in Education, 2024
This study aimed to compare item characteristics and response time between stimulus conditions in computer-delivered listening tests. Listening materials had three variants: regular videos, frame-by-frame videos, and only audios without visuals. Participants were 228 Japanese high school students who were requested to complete one of nine…
Descriptors: Computer Assisted Testing, Audiovisual Aids, Reaction Time, High School Students
Susu Zhang; Xueying Tang; Qiwei He; Jingchen Liu; Zhiliang Ying – Grantee Submission, 2024
Computerized assessments and interactive simulation tasks are increasingly popular and afford the collection of process data, i.e., an examinee's sequence of actions (e.g., clickstreams, keystrokes) that arises from interactions with each task. Action sequence data contain rich information on the problem-solving process but are in a nonstandard,…
Descriptors: Correlation, Problem Solving, Computer Assisted Testing, Prediction
Yuko Hayashi; Yusuke Kondo; Yutaka Ishii – Innovation in Language Learning and Teaching, 2024
Purpose: This study builds a new system for automatically assessing learners' speech elicited from an oral discourse completion task (DCT), and evaluates the prediction capability of the system with a view to better understanding factors deemed influential in predicting speaking proficiency scores and the pedagogical implications of the system.…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Japanese
Qiao 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