Orthographic learning and transfer of complex words
Insights from eye tracking during reading and learning tasks
Bibliographic Data
Background Efficient word identification is directly tied to strong mental representations of words, which include spellings, meanings and pronunciations. Orthographic learning is the process by which spellings for individual words are acquired. Methods In the present study, we combined the classic self‐teaching paradigm with eye tracking to detail the process by which complex pseudowords are learned. With this methodology, we explored the visual processing and learning of complex pseudowords, as well as the transfer of that learning. We explore visual processing across exposures during the initial reading task and then measure learning and transfer in orthographic choice and spelling tasks. Results Online eye movement monitoring during the repeated reading of complex pseudowords revealed that visual processing varied across exposures with key differences based on word type Further, data from both dictation and eye movements recorded during the orthographic choice task suggested stronger learning of morphologically than orthographically complex pseudowords after four encounters. Finally, results suggested that learning transfer occurred, with similar levels of accurate recognition of new pseudowords that were morphologically or orthographically related to pseudowords learned during the reading phase than of new pseudowords never read. Conclusions The present study provides new insights into theory and methodological discussions of orthographic learning
Cognitive psychology · Dictation · Eye movement · Eye tracking · Linguistics · Orthography · Reading (process) · Speech recognition · Spelling · Task (project management) · Transfer of learning · Word recognition · Artificial Intelligence · Computer Science · Hearing Impairment and Communication · Neurobiology of Language and Bilingualism · Psychology · Reading and Literacy Development
| Unique citing works | 3 |
|---|---|
| Citations per year | 1.5 |
| Citation span | 2024 - 2026 (3) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 1 |