GFI_U-ATI-1000_NTP_Workbook_Draft_6Jun23.xlsx

Instructions

Instructions: Utilize the Navy Training Process (NTP) Workbook as a whole, to understand and develop requirements within Appendix A to the SOW. Provided below are tips to reading the NTP Workbook to determine media requirements.

Tab Details:

Tab: U-ATI-1000 Column 17 "Recommended Training Hours" equates to total hours associated with this CIN on Appendix A.

Tab: Master_Schedule The purpose of the Master Schedule is to develop the sequence of instructional events and how they are grouped into sections, lessons, modules, and courses associated to the media selections. This is also where allocation of time is distributed between distinct training events and assessments.

The resulting Master Schedule provides an organized structure to facilitate constructing and populating courses within CPM.

For more information on each Media Recommendation in columns T-AD, refer to each associated LO on Tab 3 "Media_Selection_Model".

Tab: Media_Selection_Model The purpose of the Media Selection Model is to interpret the sensory, fidelity, and media characteristic requirements collected in the Learning Analysis Model to develop a recommended combination of content delivery (i.e. media) formats that represent the learning events a trainee will experience to master the associated LO.

For sensory, fidelity, and media characteristics refer to columns Q-AG, AJ, AL, and AT-AY (as applicable).

Tab: Functional Characteristics* The purpose of the Functional Characteristics sheet is to capture detailed data describing the requirements for complex media development.

*See "Complex Media Construct Tips" for further information on VSIM requirements.

Tab: Task_Analysis_Model The Task Analysis examines the tasks performed by the Fleet. It captures data required to identify if a given task needs to be trained and to support the Learning Analysis, Media Selection, and course development modernization and acquisition.

Tab: Learning_Analysis_Model The Learning Analysis uses as input from the Task Analysis Model the tasks to be trained in the Training Task List (TTL) to develop Learning Objectives (LO) and supporting data to establish what the trainee needs to learn to perform their job within the Navy Enlisted Classification (NEC). The LOs and attribute data are inputs to the Media Selection, and course development modernization and acquisition.

Tab: TPP_TCCD_Course Data

Tab: FRD Fig. 3-2a

Tab: FRD Fig. 3-2b Instructions: Utilize the Navy Training Process (NTP) Workbook as a whole, to understand and develop to requirements within Appendix A to the SOW. Provided below are tips to reading the NTP Workbook' to determine Complex Media Details.

Tab Details:

*Tab 4: Functional Characteristics The purpose of the Functional Characteristics sheet is to capture detailed data describing the requirements for complex media development. Table 1 below represents the Appendix A Complex Media Requirement.

1. Simulated Environment – Tab Functional Characteristics – look at green highlighted columns in row 4 – T Virtual Environment;

2. Task – Tab Functional Characteristics – look at blue highlighted columns in row 4 – J Complex Controls; K Complex Scenarios; M Fault Insertion; AR Visual Description; AV Response Description;

3. Interactions per Scenario – Tab Functional Characteristics – look at yellow highlighted columns in row 4 – O Trainee Interactions; Y Reps and Sets;

4. Additional relevant simulation details Tab Learning_Analysis_Model – column F Additional Notes;

Tab Media_Selection_Model – columns AE Current State Training Media (CSM) and AF Recommendation Regarding CSM

Table 1: Complex Media Requirement

U-ATI-1000 Summary

Master_Schedule

Course of Instruction (COI) Type

Insert rows for Courses, Modules, and Lessons to group Learning Objectives into instructional units.

Separate time allocated to each Learning Objective into separate rows for Sections and assessments.

Drop Down Course Module Lesson Section Enter Text

Course Identification Number (CIN) - Content Object Identification Number (COIN)

The Content Object Identification Number (COIN) uses the syntax:

U-ABC-XXXX-MODE-XXX

The U-ABC-XXXX portion is the Course Identification Number (CIN) with the following representations:

U = prefix letter (always U for RRL courses) ABC = Subject Area Code XXXX = Course Identification Number

The MODE portion is the Ready Relevant Learning Modality that identifies the RRL modality type from one of the following:

SDIT = Self-Directed Interactive Training IFIT = Instructor-Facilitated Interactive Training SPST = Student Performance Support Tool SOJT = Structured On-the-Job Training

The XXX portion is the Object Identification Number. This assigns a number to the learning object. This number is not intended to be a sequence, just an identifier, so that there is flexibility to re-sequence these learning objects, as needed.

A learning object is defined by ADL Co-Lab as an “entity which represents a small unit of instruction that teaches a focused concept”; below is the learning object for each of the four modalities:

SDIT = Module (typically at the terminal learning objective level) IFIT = Lesson for TLO or Section for ELO SPST = Number per object (multiple types of objects, ex. a video) SOJT = Number per object (multiple types of objects, ex. a worksheet)

Examples:

U-LSS-1000-VSIM-001 = RRL Logistics Specialist A-School Online Course, Module one U-LSS-1000-IFIT-010 = RRL Logistics Specialist A-School Classroom Course, Lesson or Section ten U-LSS-1000-SPST-003 = RRL Logistics Specialist A-School Performance Support, object three U-LSS-1000-SOJT-002 = RRL Logistics Specialist A-School on-the-job training, object two Enter Text

Title

Enter meaningful titles for Courses, Modules, Lessons, Sections, and assessments. Manually Copy and Paste from 11_Media_Selection_Model

Learning Analysis Hierarchies

Manually Populate Data by copying and pasting Learning Objective List data from 11_Media_Selection_Model (Column B) into this Master_Schedule sheet (Column E) Manually Copy and Paste from 11_Media_Selection_Model

Objective Statement

Manually Populate Data by copying and pasting Learning Objective List data from 11_Media_Selection_Model (Column C) into this Master_Schedule sheet (Column F) Manually Copy and Paste from 11_Media_Selection_Model

Learning Objective Type

Manually Populate Data by copying and pasting Learning Objective List data from 11_Media_Selection_Model (Column D) into this Master_Schedule sheet (Column G) Enter Text

Additional Notes

IMPORTANT: When entering notes related to a specific field, Prefix the note with the name of the field. Manually Copy and Paste from 11_Media_Selection_Model

Analysis UID

Manually Populate Data by copying and pasting Learning Objective List data from 11_Media_Selection_Model (Column F) into this Master_Schedule sheet (Column I) Manually Copy and Paste from 11_Media_Selection_Model

Skill Text

Manually Populate Data by copying and pasting Learning Objective List data from 11_Media_Selection_Model (Column G) into this Master_Schedule sheet (Column J) Manually Copy and Paste from 11_Media_Selection_Model

Career Progression Timing

Manually Populate Data by copying and pasting Learning Objective List data from 11_Media_Selection_Model (Column O) into this Master_Schedule sheet (Column K) Manually Copy and Paste from 10_Learning_Analysis_Model

Content Type

Manually Populate Data by copying and pasting data from 10_Learning_Analysis_Model (Column Q) into this Master_Schedule sheet (Column L)

A Section is referred to as a “topic” within the Lesson. The Section content (elements) varies depending on the type of Section selected.

NOTE: If in doubt about the type, refer to the Navy Integrated Learning Environment (ILE) Web site:

https://www.netc.navy.mil/ile/, select the tab for Policy and Guidance and refer to Navy ILE Instructional Content Style Guide: Interactive Multimedia Instruction & Instructor-Led Training, document, paragraph 1.5 Content Types.

There are five types of Sections:

- Concept – A class of items that shares common key features and is known by a common name.

- Fact – Unique, one-of-a-kind types of information.

- Process – A series of actions, changes, or functions that achieve an end result. It is often used when you need to illustrate a flow of events that describes how something works.

- Procedure – A sequential set of steps to be followed by one individual to accomplish a task or make decisions. Actions within the procedure must be done the same way each time within a given situation.

- Principle – A procedural job task that requires judgment or when guidelines must be applied to a situation.

Manually Copy and Paste from 10_Learning_Analysis_Model

Cognitive Level

Manually Populate Data by copying and pasting data from 10_Learning_Analysis_Model (Column R) into this Master_Schedule sheet (Column M)

Interprets if the Learning Objective Statement (Column F) requires the learner to either Apply or to Remember.

Manually Copy and Paste from 10_Learning_Analysis_Model

Delivery Method

Manually Populate Data by copying and pasting data from 10_Learning_Analysis_Model (Column CQ) into this Master_Schedule sheet (Column N)

Describes how the LO should be delivered to the learner.

Self-Paced = Self Directed Interactive Training (SDIT) Instructor Led = Instructor Facilitated Interactive Training (IFIT) Blended = Combination of two or more of the other options Lab = Laboratory activity (LAB) EPSS = Performance Support (PS) Manually Copy and Paste from 11_Media_Selection_Model

Learning Strategy

Manually Populate Data by copying and pasting Learning Objective List data from 11_Media_Selection_Model (Column J) into this Master_Schedule sheet (Column O) Manually Copy and Paste from 11_Media_Selection_Model assessment Strategy

Manually Populate Data by copying and pasting Learning Objective List data from 11_Media_Selection_Model (Column K) into this Master_Schedule sheet (Column P)

Manually Copy and Paste from 11_Media_Selection_Model

COTS / GOTS

Populate Data by copying and pasting Learning Objective List data from 11_Media_Selection_Model (Column Q) into this 11_Media_Selection_Model sheet (Column Q) Manually Copy and Paste from 11_Media_Selection_Model

SOJT

Populate Data by copying and pasting Learning Objective List data from 11_Media_Selection_Model (Column R) into this 11_Media_Selection_Model sheet (Column R) Manually Copy and Paste from 11_Media_Selection_Model

Performance Support (PS)

Populate Data by copying and pasting Learning Objective List data from 11_Media_Selection_Model (Column S) into this 11_Media_Selection_Model sheet (Column S) Manually Copy and Paste from 11_Media_Selection_Model

IFIT - IMI 2

Populate Data by copying and pasting Learning Objective List data from 11_Media_Selection_Model (Column T) into this 11_Media_Selection_Model sheet (Column T) Manually Copy and Paste from 11_Media_Selection_Model

IFIT VSIM

Populate Data by copying and pasting Learning Objective List data from 11_Media_Selection_Model (Column U) into this 11_Media_Selection_Model sheet (Column U) Manually Copy and Paste from 11_Media_Selection_Model

IFIT Stand-alone SIM

Populate Data by copying and pasting Learning Objective List data from 11_Media_Selection_Model (Column V) into this 11_Media_Selection_Model sheet (Column V) Manually Copy and Paste from 11_Media_Selection_Model

SDIT - IMI 2

Populate Data by copying and pasting Learning Objective List data from 11_Media_Selection_Model (Column W) into this 11_Media_Selection_Model sheet (Column W) Manually Copy and Paste from 11_Media_Selection_Model

SDIT - IMI 3

Populate Data by copying and pasting Learning Objective List data from 11_Media_Selection_Model (Column X) into this 11_Media_Selection_Model sheet (Column X) Manually Copy and Paste from 11_Media_Selection_Model

SDIT VSIM

Populate Data by copying and pasting Learning Objective List data from 11_Media_Selection_Model (Column Y) into this 11_Media_Selection_Model sheet (Column Y) Manually Copy and Paste from 11_Media_Selection_Model

LAB VSIM

Populate Data by copying and pasting Learning Objective List data from 11_Media_Selection_Model (Column Z) into this 11_Media_Selection_Model sheet (Column Z) Manually Copy and Paste from 11_Media_Selection_Model

LAB Stand-alone SIM

Populate Data by copying and pasting Learning Objective List data from 11_Media_Selection_Model (Column AA) into this 11_Media_Selection_Model sheet (Column AA) Manually Copy and Paste from 11_Media_Selection_Model

LAB - Simulator Trainer

Populate Data by copying and pasting Learning Objective List data from 11_Media_Selection_Model (Column AB) into this 11_Media_Selection_Model sheet (Column AB) Manually Copy and Paste from 11_Media_Selection_Model

LAB - Equipment Trainer

Populate Data by copying and pasting Learning Objective List data from 11_Media_Selection_Model (Column AC) into this 11_Media_Selection_Model sheet (Column AC) Manually Copy and Paste from 11_Media_Selection_Model

LAB - Actual Equipment

Populate Data by copying and pasting Learning Objective List data from 11_Media_Selection_Model (Column AD) into this 11_Media_Selection_Model sheet (Column AD) Manually Calculate

Total Time to Train

I.e., FRD Table 3-1: Training Time Manually Calculate

Total Time to Practice

I.e., FRD Table 3-1: Available Time for Sets and Reps Manually Calculate

Total Time to assess

I.e., FRD Table 3-1: assessments Manually Calculate

Total Time for COTS/GOTS Topics

I.e., FRD Table 3-1: COTS/GOTS Enter Value

Total Administrative Time

I.e., FRD Table 3-1: ADMIN Administrative Time is approved for up to 60 minutes for Course Introduction and for up to 120 minutes for Graduation activities. Enter the time actually required for these activities in the Course's data row. Manually Calculate

Total Concurrent SDIT

I.e., FRD Table 3-1: SDIT 1 / 2 / 3 / SIM Manually Calculate

Total Concurrent LAB

I.e., FRD Table 3-1: LAB Sim Type 1 / Type 2 / Trainer Manually Copy and Paste from 11_Media_Selection_Model

Total Bottleneck Time

Manually Populate Data by copying and pasting Learning Objective List data from 11_Media_Selection_Model (Column AT) into this Master_Schedule sheet (Column AM)

Reminder: Bottleneck Duration = ((Students per Class / Students per Lab) - 1) * Lab Duration Enter Value

Total Travel Time

E.g., travel to and from firing range Travel Time is not used when calculating course or curriculum time, but it is counted toward contact time when determining Instructor demand. Manually Copy and Paste from 11_Media_Selection_Model

Instructors Per Class

Manually Populate Data by copying and pasting Learning Objective List data from 11_Media_Selection_Model (Column AO) into this Master_Schedule sheet (Column AN) Manually Copy and Paste from 11_Media_Selection_Model

Students Per Class

Manually Populate Data by copying and pasting Learning Objective List data from 11_Media_Selection_Model (Column AP) into this Master_Schedule sheet (Column AO) Manually Copy and Paste from 11_Media_Selection_Model

Instructors Per Lab

Manually Populate Data by copying and pasting Learning Objective List data from 11_Media_Selection_Model (Column AQ) into this Master_Schedule sheet (Column AP) Manually Copy and Paste from 11_Media_Selection_Model

Students Per Lab

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Manually Copy and Paste from 11_Media_Selection_Model Enter Value Manually Copy and Paste from 11_Media_Selection_Model Manually Copy and Paste from 11_Media_Selection_Model Manually Copy and Paste from 11_Media_Selection_Model Manually Copy and Paste from 11_Media_Selection_Model Enter Text

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