Speakers
Description
This study investigated the interaction between speech rate and vocabulary prediction among 100 Japanese EFL students. Using TOEFL ITP® conversations at various speeds (0.75x - 1.25x), results revealed that listening scores consistently exceeded prediction scores (p < 0.001). While speed alone did not determine performance, predictive ability became a critical success factor at high speeds (1.25x, r = 0.59). These findings suggest that systematic predictive strategies may effectively scaffold comprehension during accelerated speech.
References
Bloomfield, A., Wayland, R. K., Rhoades, E., Blodgett, A., Linck, J., & Ross, S. (2010). What makes listening difficult? Factors affecting second language listening comprehension. University of Maryland, Center for Advanced Study of Language. https://www.researchgate.net/publication/277788621_What_makes_listening_difficult_Factors_affecting_second_language_listening_comprehension
Duan, R., & Qiu, P. (2022). English listening prediction strategy and training method with data mining. Journal of Cloud Computing, 11(43). https://doi.org/10.1186/s13677-022-00320-1
Hayati, A. (2010). The effect of speech rate on listening comprehension of EFL learners. Creative Education, 1(2), 107–114. https://doi.org/10.4236/ce.2010.12016
Short summary
This study investigated the interaction between speech rate and vocabulary prediction among 100 Japanese EFL students. Using TOEFL ITP® conversations at various speeds (0.75x - 1.25x), results revealed that listening scores consistently exceeded prediction scores (p < 0.001). While speed alone did not determine performance, predictive ability became a critical success factor at high speeds (1.25x, r = 0.59). These findings suggest that systematic predictive strategies may effectively scaffold comprehension during accelerated speech.
Keywords
Listening
Prediction
Speed
TOEFL
Abstract
Listening comprehension is a significant obstacle for EFL learners (e.g., Duan & Qiu, 2022), yet research remains divided on the most effective interventions. This study investigated the interaction between speech rate and vocabulary prediction strategies among approximately 100 first-year Japanese university students. Drawing on Hayati (2010) and Bloomfield et al. (2010) regarding delivery speed, and the predictive frameworks of Duan and Qiu (2022), students predicted vocabulary before listening to TOEFL ITP ® conversations at ever-increasing speeds (0.75x - 1.25x), subsequently engaging in peer discussions to collaboratively connect vocabulary with correct responses.
Results show a significant gap, where listening scores consistently exceeded prediction scores (p= < 0.001), identifying prediction as a challenging yet effective pre-listening scaffold. Notably, increased speed did not dictate failure. Instead, predictive ability became a critical factor at high speeds (1.25x, r = 0.59), aiding in fast speech processing.
This presentation demonstrates how the integration of graduated speech rates and systematic vocabulary prediction, along with peer analysis, enhances listening comprehension. Attendees will gain a practical framework for fostering a learning community through collaborative listening tasks to prepare students for high-stakes listening exams. The session concludes with observed learning outcomes and student reflections, offering insights into how these techniques can quickly affect students’ confidence and listening abilities.
Special scheduling requests
If Sunday, morning is preferred.
| Scheduling preference | Anytime on Saturday or Sunday |
|---|---|
| Title | Vocabulary Prediction and Speed on Listening Comprehension |