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Boggio, Cynthia; Zaher, Ahmed; Bosse, Marie-Line – British Journal of Educational Technology, 2023
The present study assessed the effectiveness of the ECRIMO educational application designed to build first-grade level spelling skills. We tested whether using the app to teach spelling would be as effective as providing the same training using traditional paper exercises. The effect of integrating gamification into mobile learning apps, which has…
Descriptors: Grade 1, Elementary School Students, Computer Software, Spelling Instruction
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Ghysels, J.; Haelermans, C. – Journal of Computer Assisted Learning, 2018
This paper provides new evidence on the effect of computerized individualized practice and instruction on language skills, more specifically on spelling. An individually randomized experiment among 7th grade students in the Netherlands is developed to study the effect of an adaptive digital homework tool on spelling performance. Using an…
Descriptors: Teaching Methods, Computer Assisted Instruction, Grade 7, Language Skills
Al-Jarf, Reima – Online Submission, 2011
Although the language program at the College of Languages and Translation offers several English language courses in the first four semesters of college, the spelling skill is completely ignored. Since many EFL freshman students are poor spellers, mind-mapping software can be used to help them connect spoken phonemes with their written forms.…
Descriptors: Spelling Instruction, Cognitive Mapping, Computer Software, English (Second Language)
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Kast, Monika; Baschera, Gian-Marco; Gross, Markus; Jancke, Lutz; Meyer, Martin – Annals of Dyslexia, 2011
Our spelling training software recodes words into multisensory representations comprising visual and auditory codes. These codes represent information about letters and syllables of a word. An enhanced version, developed for this study, contains an additional phonological code and an improved word selection controller relying on a phoneme-based…
Descriptors: Spelling Instruction, Computer Assisted Instruction, Dyslexia, Computer Software
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Baschera, Gian-Marco; Gross, Markus – International Journal of Artificial Intelligence in Education, 2010
We present an inference algorithm for perturbation models based on Poisson regression. The algorithm is designed to handle unclassified input with multiple errors described by independent mal-rules. This knowledge representation provides an intelligent tutoring system with local and global information about a student, such as error classification…
Descriptors: Foreign Countries, Spelling, Intelligent Tutoring Systems, Prediction