Planned studyDoctoral researcher, proposed trainer evaluation

Evidence-grounded session-end coaching

A planned trainer that checks observations and recommendations before giving feedback.

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My contribution

Design a session-end workflow for behavioral analysis, reference retrieval, feedback drafting, and verification.

From observation to justified advice

The proposed trainer starts after a complete simulator session. It connects verified observations with applicable task guidance and expert examples, drafts feedback, and checks whether each recommendation is supported. A session report should prioritize at most two practice targets and support an insufficient-evidence outcome.

Evaluate the feedback itself

Correct phase labels alone do not establish useful coaching. The planned evaluation examines factual accuracy, specificity, actionability, task appropriateness, and the ability to withhold unsupported advice. Template-based feedback is a comparison condition. Experienced-operator reviews provide reference judgments alongside independently computed measures.

Test learning prospectively

Repeated novice practice sessions are a proposed follow-up. They would assess whether evidence-grounded feedback changes subsequent performance. Existing single-session recordings support retrospective analysis, not a claim that the trainer has improved learning or field safety.

Proposed architecture

A planned design. It shows what the study would test, not a result.

Proposed architecture

Advice only where the evidence supports it

A planned trainer. Verified observations meet applicable guidance, a draft is checked for support, and the report gives at most two priorities or says the evidence is insufficient.

  • Proposed step, no result
Advice only where the evidence supports itProposed pipeline. Verified observations lead to applicable guidance, then draft feedback, then support verification. Supported recommendations become a report with up to two priorities; otherwise the outcome is insufficient evidence. A separate proposed evaluation runs a retrospective feedback review, then prospective novice practice.supportedVerifiedobservationsApplicableguidanceDraftfeedbackSupportverificationReport, up totwo prioritiesInsufficientevidenceRetrospective feedbackreview vs. templatesProspectivenovice practice
  1. Verified observationsProposed
    Input
    Observations from a complete simulator session, validated in the prior stage.
    Computation
    None.
    Output
    Evidence for feedback.
    Source
    Doctoral research plan, Paper 3
  2. Applicable guidanceProposed
    Input
    Verified observations.
    Computation
    Selects task guidance and expert examples that apply.
    Output
    Relevant guidance.
    Source
    Doctoral research plan, Paper 3
  3. Draft feedbackProposed
    Input
    Observations and guidance.
    Computation
    Drafts session-end feedback.
    Output
    Draft recommendations.
    Source
    Doctoral research plan, Paper 3
  4. Support verificationProposed
    Input
    Draft recommendations and their evidence.
    Computation
    Checks whether each recommendation is supported.
    Output
    Supported recommendations, or none.
    Source
    Doctoral research plan, Paper 3
  5. Report with up to two prioritiesProposed
    Input
    Supported recommendations.
    Computation
    Prioritizes at most two practice targets.
    Output
    Session report.
    Source
    Doctoral research plan, Paper 3
  6. Insufficient evidenceProposed
    Input
    No supported recommendation.
    Computation
    Withholds advice.
    Output
    An explicit insufficient-evidence outcome.
    Source
    Doctoral research plan, Paper 3
  7. Retrospective feedback reviewProposed
    Input
    Generated and template-based feedback.
    Computation
    Rates factual accuracy, specificity, actionability, task fit and withholding, with experienced-operator reviews.
    Output
    Feedback quality evidence. Not yet conducted.
    Source
    Doctoral research plan, Paper 3
  8. Prospective novice practiceProposed
    Input
    Repeated novice practice sessions.
    Computation
    Tests whether feedback changes later performance.
    Output
    Proposed follow-up. No learning gain is claimed.
    Source
    Doctoral research plan, Paper 3

Adapted from PhD Research Summary, Asif Faisal Chowdhury, Proposed feedback workflow and repeated-practice follow-up.

Existing single-session recordings support retrospective analysis only. No learning or safety improvement is claimed.

Animated pulses show conceptual signal flow only. They do not show measured execution time or a live inference run.

Evaluation Scope & Methodology

Samples, denominators, uncertainty, sources and limits

Approach

Proposed retrospective feedback review followed by a separate prospective novice-practice study; no learning outcomes reported.

Limitations

  • Proposed workflow and evaluation, not an achieved training intervention.
  • Existing single-session recordings cannot establish learning gains.
  • Experience-group differences do not by themselves identify useful training targets.
  • Prospective repeated novice practice and expert review remain to be conducted.

Sources

  • PhD Research Summary, Asif Faisal Chowdhury, Proposed feedback workflow and repeated-practice follow-up (Supplied manuscript reviewed November 2026). Public release pending
  • Portfolio website content and coding-agent brief, Paper 3 plan; feedback and prospective evaluation (Supplied manuscript reviewed November 2026). Public release pending

LSU Industrial Training & Assessment Center · September 2024 to present

Energy Assessment Team Leader & Researcher

I lead industrial energy assessments: utility-bill analysis, on-site measurement, energy-balance calculations, and client technical reports. Totals are team assessment outcomes.

Recommended annual electricity savings

8,208,899 kWh/year

16 assessments with recommendations

Implemented annual electricity savings

5,950,754 kWh/year

11 assessments with implementation reports