Listening and Spoken Language Specialist Auditory–Verbal Certification: Self-Perceived Benefits and Barriers to Inform Change
Bibliographic record
Abstract
Purpose: The aim of this study was to explore the path to Listening and Spoken Language Specialist (LSLS) certification from the professional's viewpoint as well as to address motivation, self-perceived gains, challenges, and barriers to certification in an international cohort with the purpose of guiding future change within the existing certification system. Method: Members of the AG Bell Academy for Listening and Spoken Language (AG Bell Academy) Global Matters Committee created an online survey disseminated by the AG Bell Academy in English and Spanish for professionals who were certified LSLSs, mentees currently pursuing the certification, and professionals interested in the certification. Participants ( N = 295) were from different parts of the world. Of the respondents, 48% reported English as their first language, 19% reported Spanish as their first language, and the remaining 33% reported one of 26 other languages as their first language. Approximately 40% of the total respondents were certified LSLSs ( n = 117), and 50% of them lived in the United States. Results: The findings indicate that certified LSLSs perceived significant growth in knowledge and skills as a result of the certification process. Personal motivation drove individuals to pursue certification. A common barrier among all participants was limited resources, such as time, funds, and access to a mentor who speaks the same language. Conclusions: There is a need for more awareness of the significant gains LSLS certification can bring to professionals. There is further need to address, minimize, and overcome perceived barriers in the process. Future similar research is warranted to explore the gains and barriers of obtaining the LSLS certification outside the English-speaking countries and in a larger, more population-based sample.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.037 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".