Live training versus e‐learning to teach implementation of listener response programs
Abstract
Discrete‐trial teaching is an effective teaching procedure that must be implemented with high integrity to produce optimal learning. Behavioral Skills Training (BST) has proven effective for staff training; however, BST is time and labor intensive. Computer‐based instruction (CBI) programs may provide a more efficient and cost‐effective alternative to live training if the CBI program is as effective as BST in producing accurate implementation. The current study compared CBI to BST to train novice undergraduate students to conduct discrete‐trial teaching. Participants were randomly assigned to one of the two conditions and assessed prior to and after the completion of training. Results indicated that although both BST and CBI were effective at training participants to implement discrete‐trial teaching, BST was slightly but significantly more effective whereas CBI quickly created a return on the investment of product development.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Developing a self-guided instruction manual or computer-based training modules requires a significant investment upfront.
“First, developing a self-guided instruction manual or computer-based training modules requires a significant investment upfront (see Geiger et al., 2018, for a discussion on return on investment).”
From Training individuals to implement discrete‐trial teaching procedures using behavioral skills training: A scoping review with implications for practice and research (2024) · cites this paper as Geiger et al., 2018
The studies using interactive media and audio components did not directly evaluate their utility compared with that of traditional training components.
“however, the studies using these interactive media and audio components did not directly evaluate their utility compared with that of traditional training components (e.g., in-person modeling, video modeling without added interactive features; cf.Geiger et al., 2018, which compared a computer-based training package to a standard BST package).”
From Training individuals to implement discrete‐trial teaching procedures using behavioral skills training: A scoping review with implications for practice and research (2024) · cites this paper as Geiger et al., 2018
The citation lists haven’t been fetched yet
References 43 · Cited by 55
- Authors
- Geiger, K. B., LeBlanc, L. A., Hubik, K., Jenkins, S. R., & Carr, J. E.
- Affiliations
- Auburn University (US)
- Trumpet Behavioral Health
- Behavior Analyst Certification Board
- Corresponding author
- Geiger, Kaneen B.
- Venue
- Journal of Applied Behavior Analysis
- Publisher
- Wiley
- Published
- 2018-02-28
- Volume
- 51
- Issue
- 2
- Pages
- 220-235
- ISSN
- 0021-8855 (ISSN-L)
- 1938-3703
- OpenAlex
- W2789627613
- Cited by
- 55
- References
- 43
- Citations by year
- 2026: 4 · 2025: 6 · 2024: 6 · 2023: 7 · 2022: 9 · 2021: 7 · 2020: 7 · 2019: 7 · 2018: 1
- FWCI
- 10.81
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Applied Behavior Analysis (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Psychology › Developmental and Educational Psychology › Behavioral and Psychological Studies
- Social Sciences › Psychology › Applied Psychology › Human Resource Development and Performance Evaluation
- Physical Sciences › Computer Science › Information Systems › Educational Technology and E-Learning
- Keywords
- behavioral skills training, computer-assisted instruction, online learning, live training, discrete trial teaching, employee training, implementation fidelity, undergraduate students
- MeSH terms
- Teacher Training, Auditory Perception, Computer-Assisted Instruction, Education, Humans, Students, Teaching, Young Adult
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review