Healthy, Language
Conditions
Keywords
Learning, Speech, Cognition
Brief summary
The overarching goal of the proposed research is to understand how human listeners learn speech categories. The project takes a prospective approach with adult second-language learners, blending empirical, methodological and theoretical advances from laboratory studies with explicit classroom instruction. The central hypothesis is that incidentally-acquired nonlinguistic perceptual building block categories may support speech perception and production in a second language. The project will advance important theoretical debates about the cross-talk between general auditory representations and speech categories and will provide a novel approach to nudging adult learners off learning plateau typically encountered in classroom instruction.
Detailed description
Robust speech communication requires that listeners learn linguistically-relevant representations for stable language regularities, such as the speech sounds (phonemes) that convey meaning. In an increasingly multilingual society, as many as twenty percent of Americans accomplish this across multiple languages. Yet, second language acquisition is especially challenging among adult language learners, for whom learning typically involves explicit classroom instruction. Troublingly, research documents that instruction routinely results in a 'learning plateau' whereby language abilities stagnate or even atrophy despite continued instruction. There is a need to establish effective new approaches to nudge adult language learners off this plateau. This project integrates theoretical and methodological developments in auditory category learning with approaches to classroom-based L2 instruction. Specifically, incidental category learning (in which learners' attention is directed away from to-be-learned categories by an engaging videogame) taps into category learning systems distinct from those engaged in more explicit learning. Moreover, incidental learning of nonspeech sound categories leads to activation of putatively speech-selective cortex associated with speech categorization, suggesting potential representational cross-talk. This guides the central hypothesis of the project: incidental learning of nonspeech perceptual building block categories may provide a 'back door' through which to influence adult L2 learners' speech acquisition and to move them off the classroom learning plateau. An intensive 8-week incidental training study will test the hypothesis (Aim 1). Comparison of incidental nonspeech training with explicit L2 speech training will assess whether this cognitive 'back door' may be more effective in promoting L2 speech perception and production than explicit training with L2 speech and will determine the extent to which each interacts with classroom instruction in the L2 (Aim 2). The results will reveal whether nonspeech, auditory categories sharing common perceptual dimensions with second language categories scaffold L2 acquisition, the degree to which explicit instruction may support or interfere with new auditory categories, whether incidental learning is retained after training, and whether learning gains transfer to support other language-learning tasks. In blending empirical, methodological, and theoretical advances from laboratory studies with explicit classroom learning it will be possible to determine the interplay between incidentally-acquired nonlinguistic perceptual building block categories and an emerging L2. This will advance important theoretical debates about the cross-talk between general auditory representations and speech categories and will provide a novel approach to L2 pedagogy.
Interventions
Training involving non-speech sounds embedded in a video-game.
Training involving explicit sound and category information
Structured adult classroom language training.
Both classroom and incidental training.
Both classroom and explicit training.
Sponsors
Study design
Eligibility
Inclusion criteria
* 18 or older, normal hearing * Native/non-native Chinese speakers
Exclusion criteria
* Younger than 18, loss of hearing
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Change in Sensitivity (D-prime) to Novel Speech Sounds After 2 Months of Training | Pre-test (baseline) and immediately after 2 months of training. | Each participant's 96 auditory discrimination data points at Pre-test and Post-test, respectively, were reduced to one sensitivity score: d-prime (d': hits minus false alarms). This transformation takes into account response bias and approaches a normal distribution. A higher score represents greater sensitivity. The difference in scores from pre- to post-test represents the change. |
| Change in Auditory Category Learning Accuracy After 2 Months of Training | Pre-test (baseline) and immediately after 2 months of training. | Each participant's 96 auditory categorization data points at Pre-test and Post-test, respectively, were turned into a mean of the correct answers. The difference between the two accuracy scores represents the mean change in accuracy. |
| Novel Auditory Word Learning Accuracy After 2 Months of Training | Immediately after 2 months of training. | At post-test, participants did a three day novel word learning task. Their 48 word identification data points on the first and third days, respectively, were turned into a mean correct score. The difference in scores from Day 1 to Day 3 represents the change in mean novel word learning accuracy. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Word Recognition Accuracy in Unrelated Language 3 Months After Training | 3 months post-intervention | Three months after training, participants were scheduled to learn words in an unrelated language. Their mean accuracy would be calculated. |
Countries
United States
Participant flow
Pre-assignment details
This is the number of participants who agreed to participate in the study following completion of the informed consent process.
Participants by arm
| Arm | Count |
|---|---|
| Incidental Training Participants play a video-game involving non-speech. | 18 |
| Explicit Training Participants use a website involving explicit sounds and labels. | 17 |
| No Training Participants do not undergo training between pre- and post-tests. | 19 |
| Classroom Training Participants take part in a weekly structured language class. | 17 |
| Classroom and Incidental Training Participants take part in classroom and video-game training. | 18 |
| Classroom and Explicit Training Participants take part in classroom and explicit web-based training. | 17 |
| Total | 106 |
Baseline characteristics
| Characteristic | Explicit Training | No Training | Classroom Training | Classroom and Incidental Training | Classroom and Explicit Training | Incidental Training | Total |
|---|---|---|---|---|---|---|---|
| Age, Categorical <=18 years | 0 Participants | 0 Participants | 0 Participants | 0 Participants | 0 Participants | 0 Participants | 0 Participants |
| Age, Categorical >=65 years | 0 Participants | 0 Participants | 0 Participants | 0 Participants | 0 Participants | 0 Participants | 0 Participants |
| Age, Categorical Between 18 and 65 years | 17 Participants | 19 Participants | 17 Participants | 18 Participants | 17 Participants | 18 Participants | 106 Participants |
| Age, Continuous | 21.1 years STANDARD_DEVIATION 2.37 | 19.8 years STANDARD_DEVIATION 2.29 | 20.9 years STANDARD_DEVIATION 2.66 | 20.6 years STANDARD_DEVIATION 2.4 | 20.6 years STANDARD_DEVIATION 3.43 | 20.5 years STANDARD_DEVIATION 3.07 | 20.8 years STANDARD_DEVIATION 2.7 |
| Race (NIH/OMB) American Indian or Alaska Native | 0 Participants | 0 Participants | 0 Participants | 0 Participants | 0 Participants | 0 Participants | 0 Participants |
| Race (NIH/OMB) Asian | 5 Participants | 6 Participants | 7 Participants | 8 Participants | 7 Participants | 7 Participants | 40 Participants |
| Race (NIH/OMB) Black or African American | 1 Participants | 1 Participants | 2 Participants | 1 Participants | 2 Participants | 2 Participants | 9 Participants |
| Race (NIH/OMB) More than one race | 1 Participants | 1 Participants | 1 Participants | 2 Participants | 2 Participants | 0 Participants | 7 Participants |
| Race (NIH/OMB) Native Hawaiian or Other Pacific Islander | 0 Participants | 0 Participants | 0 Participants | 0 Participants | 0 Participants | 0 Participants | 0 Participants |
| Race (NIH/OMB) Unknown or Not Reported | 1 Participants | 2 Participants | 0 Participants | 0 Participants | 0 Participants | 1 Participants | 4 Participants |
| Race (NIH/OMB) White | 9 Participants | 9 Participants | 7 Participants | 7 Participants | 6 Participants | 8 Participants | 46 Participants |
| Region of Enrollment United States | 17 participants | 19 participants | 17 participants | 18 participants | 17 participants | 18 participants | 106 participants |
| Sex: Female, Male Female | 11 Participants | 10 Participants | 7 Participants | 11 Participants | 8 Participants | 8 Participants | 55 Participants |
| Sex: Female, Male Male | 6 Participants | 9 Participants | 10 Participants | 7 Participants | 9 Participants | 10 Participants | 51 Participants |
Adverse events
| Event type | EG000 affected / at risk | EG001 affected / at risk | EG002 affected / at risk | EG003 affected / at risk | EG004 affected / at risk | EG005 affected / at risk |
|---|---|---|---|---|---|---|
| deaths Total, all-cause mortality | 0 / 18 | 0 / 17 | 0 / 19 | 0 / 17 | 0 / 18 | 0 / 17 |
| other Total, other adverse events | 0 / 18 | 0 / 17 | 0 / 19 | 0 / 17 | 0 / 18 | 0 / 17 |
| serious Total, serious adverse events | 0 / 18 | 0 / 17 | 0 / 19 | 0 / 17 | 0 / 18 | 0 / 17 |
Outcome results
Change in Auditory Category Learning Accuracy After 2 Months of Training
Each participant's 96 auditory categorization data points at Pre-test and Post-test, respectively, were turned into a mean of the correct answers. The difference between the two accuracy scores represents the mean change in accuracy.
Time frame: Pre-test (baseline) and immediately after 2 months of training.
| Arm | Measure | Value (MEAN) | Dispersion |
|---|---|---|---|
| Incidental Training | Change in Auditory Category Learning Accuracy After 2 Months of Training | .43 percentage of correct trials | Standard Deviation 0.19 |
| Explicit Training | Change in Auditory Category Learning Accuracy After 2 Months of Training | .31 percentage of correct trials | Standard Deviation 0.26 |
| No Training | Change in Auditory Category Learning Accuracy After 2 Months of Training | .04 percentage of correct trials | Standard Deviation 0.11 |
| Classroom Training | Change in Auditory Category Learning Accuracy After 2 Months of Training | .48 percentage of correct trials | Standard Deviation 0.2 |
| Classroom and Incidental Training | Change in Auditory Category Learning Accuracy After 2 Months of Training | .44 percentage of correct trials | Standard Deviation 0.13 |
| Classroom and Explicit Training | Change in Auditory Category Learning Accuracy After 2 Months of Training | .49 percentage of correct trials | Standard Deviation 0.21 |
Change in Sensitivity (D-prime) to Novel Speech Sounds After 2 Months of Training
Each participant's 96 auditory discrimination data points at Pre-test and Post-test, respectively, were reduced to one sensitivity score: d-prime (d': hits minus false alarms). This transformation takes into account response bias and approaches a normal distribution. A higher score represents greater sensitivity. The difference in scores from pre- to post-test represents the change.
Time frame: Pre-test (baseline) and immediately after 2 months of training.
| Arm | Measure | Value (MEAN) | Dispersion |
|---|---|---|---|
| Incidental Training | Change in Sensitivity (D-prime) to Novel Speech Sounds After 2 Months of Training | 1.51 sensitivity (d-prime) | Standard Deviation 1.36 |
| Explicit Training | Change in Sensitivity (D-prime) to Novel Speech Sounds After 2 Months of Training | 0.47 sensitivity (d-prime) | Standard Deviation 1.51 |
| No Training | Change in Sensitivity (D-prime) to Novel Speech Sounds After 2 Months of Training | 0.53 sensitivity (d-prime) | Standard Deviation 0.96 |
| Classroom Training | Change in Sensitivity (D-prime) to Novel Speech Sounds After 2 Months of Training | 1.33 sensitivity (d-prime) | Standard Deviation 1.68 |
| Classroom and Incidental Training | Change in Sensitivity (D-prime) to Novel Speech Sounds After 2 Months of Training | 1.33 sensitivity (d-prime) | Standard Deviation 1.32 |
| Classroom and Explicit Training | Change in Sensitivity (D-prime) to Novel Speech Sounds After 2 Months of Training | 1.23 sensitivity (d-prime) | Standard Deviation 1.12 |
Novel Auditory Word Learning Accuracy After 2 Months of Training
At post-test, participants did a three day novel word learning task. Their 48 word identification data points on the first and third days, respectively, were turned into a mean correct score. The difference in scores from Day 1 to Day 3 represents the change in mean novel word learning accuracy.
Time frame: Immediately after 2 months of training.
| Arm | Measure | Value (MEAN) | Dispersion |
|---|---|---|---|
| Incidental Training | Novel Auditory Word Learning Accuracy After 2 Months of Training | .06 percentage of correct trials | Standard Deviation 0.24 |
| Explicit Training | Novel Auditory Word Learning Accuracy After 2 Months of Training | 0 percentage of correct trials | Standard Deviation 0.12 |
| No Training | Novel Auditory Word Learning Accuracy After 2 Months of Training | -.03 percentage of correct trials | Standard Deviation 0.16 |
| Classroom Training | Novel Auditory Word Learning Accuracy After 2 Months of Training | -.04 percentage of correct trials | Standard Deviation 0.13 |
| Classroom and Incidental Training | Novel Auditory Word Learning Accuracy After 2 Months of Training | .1 percentage of correct trials | Standard Deviation 0.2 |
| Classroom and Explicit Training | Novel Auditory Word Learning Accuracy After 2 Months of Training | .09 percentage of correct trials | Standard Deviation 0.12 |
Word Recognition Accuracy in Unrelated Language 3 Months After Training
Three months after training, participants were scheduled to learn words in an unrelated language. Their mean accuracy would be calculated.
Time frame: 3 months post-intervention
Population: This component of the project was cancelled due to the COVID-19 pandemic and no data were collected.