NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 4 results Save | Export
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Robert N. Prince – Numeracy, 2025
One of the effects of the COVID-19 pandemic was the rapid shift to replacing traditional, paper-based tests with their computer-based counterparts. In many cases, these new modes of delivering tests will remain in place for the foreseeable future. In South Africa, the National Benchmark Quantitative Literacy (QL) test was impelled to make this…
Descriptors: Benchmarking, Numeracy, Multiple Literacies, Paper and Pencil Tests
Peer reviewed Peer reviewed
Direct linkDirect link
Matthew D. Coss – Language Learning & Technology, 2025
The extent to which writing modality (i.e., hand-writing vs. keyboarding) impacts second-language (L2) writing assessment scores remains unclear. For alphabetic languages like English, research shows mixed results, documenting both equivalent and divergent scores between typed and handwritten tests (e.g., Barkaoui & Knouzi, 2018). However, for…
Descriptors: Computer Assisted Testing, Paper and Pencil Tests, Second Language Learning, Chinese
Peer reviewed Peer reviewed
Direct linkDirect link
Dongkwang Shin; Suh Keong Kwon; Wonjun Izac Noh; Yohan Hwang – Journal of Computer Assisted Learning, 2025
Background: This study examines the evolution of English speaking proficiency test methods, which have traditionally relied on face-to-face interactions to assess communicative language competence. Recently, computer-based language tests have also been used on a larger scale, albeit with concerns about their impact on measurement. Objectives: This…
Descriptors: Computer Simulation, Technology Uses in Education, English (Second Language), Second Language Learning
Peer reviewed Peer reviewed
Direct linkDirect link
Bernis Sütçübasi; Tugçe Balli; Herbert Roeyers; Jan R. Wiersema; Sami Çamkerten; Ozan Cem Öztürk; Baris Metin; Edmund Sonuga-Barke – Journal of Attention Disorders, 2025
Objective: ADHD and autism are complex and frequently co-occurring neurodevelopmental conditions with shared etiological and pathophysiological elements. In this paper, we attempt to differentiate these conditions among the young people in terms of intrinsic patterns of brain connectivity revealed during resting state using machine learning…
Descriptors: Elementary School Students, Secondary School Students, Attention Deficit Hyperactivity Disorder, Autism Spectrum Disorders