Students responded positively to ASR pronunciation training and the Rainbow passage, but were mixed on technical aspects of recording and voice typing¶

Claim · All claims
Evidence · 1 study (2 entries) · causal r2 · q2
Currency · newest study 2023 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? 90.9% of students agreed the pronunciation training was very good, and 84.1% agreed the Rainbow passage was useful, helped improvement, and was a good test. → Dillon 2023 q2 i? Responses were mixed on technical issues such as ease of studying, voice typing reliability, and recording ease and comfort. → Dillon 2023 (2)

Evidence¶

Dillon 2023¶

Dillon, Thomas, & Wells, Donald. (2023). Effects of pronunciation training using automatic speech recognition on pronunciation accuracy of Korean English language learners. English Teaching, 78(1), 3-23. https://doi.org/10.15858/engtea.78.1.202303.3

q2 · i? · causal · r2

Post-study questionnaire (5-point Likert items, Cronbach's alpha 0.86 for passage-study questions) completed by 43 participants; "90.9% agreeing that the pronunciation training was very good (M = 4.68, SD = 0.639)" and 84.1% net agreement on passage usefulness items.

"Students responded positively to the pronunciation training, with 90.9% agreeing that the pronunciation training was very good (M = 4.68, SD = 0.639)."

Dillon 2023 (2)¶

Dillon, Thomas, & Wells, Donald. (2023). Effects of pronunciation training using automatic speech recognition on pronunciation accuracy of Korean English language learners. English Teaching, 78(1), 3-23. https://doi.org/10.15858/engtea.78.1.202303.3

q2 · i? · causal · r2

Questionnaire items on technical aspects showed middling means: ease of studying the passage (M = 3.52), voice typing reliability (M = 3.63), recording ease (M = 3.64); the article states "responses were somewhat mixed on the technical issues of conducting the experiment."

"More notably, responses were somewhat mixed on the technical issues of conducting the experiment."

Discussion¶

Related Claims¶

• Guided ASR practice improves overall pronunciation accuracy of Korean EFL learners more than ordinary classroom pronunciation practice alone — related
• CAPT software shows promising results for segmental pronunciation, while prosodic features and fluency still require further research and development — related
• The Fluspeak ASR-based pronunciation software gave good results with beginners focusing on phoneme production but poor results overall for advanced learners seeking fluency — related
• Guided ASR practice did not produce statistically significant improvement in any specific pronunciation error type, with some errors unimproved or regressed — related
• Amount of ASR practice (days per week, session length) showed no observable difference in pronunciation improvement — related
• ASR transcription serves as a diagnostic tool identifying individual learners' pronunciation errors, with function words most commonly mispronounced — related
• Whether individual or peer practice works better with ASR-based pronunciation training is unsettled: one study found individual work best, a meta-analysis found peer practice gave larger effects — related
• Interviews reveal ESL learners valued ASR for bypassing orthography and grammar concerns, pronunciation practice, self-efficacy, and user-friendly voice commands — related
• Respondents anticipated using LLMs most often (23%), followed by NLP (17%), predictive AI (14%), chatbots (13%), and ASR (10%) — related