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1 | <!-- Generated from applied-computing-au vic/unit3-4/sat/C09-2026 by port-reference-godot-to-wiki.py — do not hand-edit; re-run the port. --> |
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| 2 | ## 9-0 Timeline and Resource Considerations |
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| 3 | ||||||||
| 4 | ### Pre-Testing Phase (2-3 weeks): |
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| 5 | ||||||||
| 6 | - User identification and contact |
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| 7 | - Schedule coordination across multiple participants |
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| 8 | - Testing environment and materials preparation |
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| 9 | - Data collection tools setup |
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| 10 | - Contingency planning for common issues |
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| 11 | ||||||||
| 12 | ### Testing Phase (1-2 weeks): |
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| 13 | ||||||||
| 14 | - Multiple testing sessions with different users |
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| 15 | - Consistent data capture across all sessions |
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| 16 | - Real-time problem solving and adaptation |
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| 17 | - Professional user management and communication |
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| 18 | ||||||||
| 19 | ### Post-Testing Phase (1 week): |
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| 20 | ||||||||
| 21 | - Data compilation and analysis |
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| 22 | - Results documentation and reporting |
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| 23 | - Evidence-based recommendation development |
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| 24 | - Final documentation preparation |
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| 25 | ||||||||
| 26 | ## Key Progression Indicators |
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| 27 | ||||||||
| 28 | **Students achieving higher levels will demonstrate:** |
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| 29 | ||||||||
| 30 | - More sophisticated **planning** with comprehensive test scenarios |
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| 31 | - **Multiple users** and **diverse data collection methods** |
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| 32 | - **Detailed, professional documentation** of all phases |
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| 33 | - **Thorough evaluation** of recommendations against testing evidence |
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| 34 | - **Clear, evidence-based justification** for all decisions |
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| 35 | ||||||||
| 36 | **All students must demonstrate:** |
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| 37 | ||||||||
| 38 | - **Systematic approach** to beta testing process |
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| 39 | - **External user engagement** (minimum 2 users) |
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| 40 | - **Professional documentation** of results |
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| 41 | - **Evidence-linked recommendations** for solution improvement |
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| 42 | ||||||||
| 43 | **Success depends on:** Early planning, professional user engagement, systematic data collection, and evidence-based analysis leading to justified recommendations for solution enhancement. |
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