Instructor Daily Training Log (IDTL) Management System (IDTLMS) –


In today’s training systems, low training system effectiveness rates falsely drive a need for everything from addition resources to new training device capabilities which may not actually be needed if certain training delivery issues were addressed.  Managing to identify and address recurring training delivery impact issues permits implementation of training delivery fixes which not only increase the training system’s effectiveness capability, but also lead to a higher return on training investment dollars. 


The IDTLMS is used to capture and report performance and metric information regarding training delivery.  The IDTLMS receives planned scheduled training information from the TMS / LMS and captures operational training delivery issues encountered during the initial planning and scheduling of the training, as well as, those encountered during the execution of the planned / scheduled training.  While the TMS / LMS focuses on defining and managing the approved training foot print and the planned scheduled training as well as post training student training records management; the IDTLMS is focused on those variances and operational issues that occur during training delivery which affect both the ability of the training system to effectively deliver training and those training delivery trend issues which cause ineffective usage of the training system’s capacity.


Ineffective training delivery in conjunction with scheduling issues and variances to planned training as well as other related training delivery turbulence factors drive a false need for more operational resources such as personnel and logistics assets that may not be required if the training system possessed a higher training system effectiveness rate.  Additionally operational variances from the planned or scheduled training due to miss-matched students to scheduled training event or unplanned training disruptions due to lack of logistics support resources or unintended extensions of device modifications drive a false need to increase system capacity by acquiring additional resources that may not be required if training delivery is being optimized.  Ineffective training delivery scheduling also consumes more training system capacity than is truly needed, which in turn drives the false need impression that additional training device acquisitions or additional labor or logistics resources are required to meet training objectives or goals.  Acquiring additional training devices or resources to compensate for low training delivery effectiveness leads to higher costs per training unit delivered, as well as, masks over other inefficiencies and non-effectiveness associated with planning, scheduling and affective utilization of existing assets.  Most training systems today do not effectively capture or measure training delivery performance metrics and assume that these are addressed as either training system operational management activities or as a part of or within the training management system (TMS or LMS).  This premise is not true and thus most training systems today do not possess the ability monitor or manage true training delivery effectiveness.   


The IDTLMS captures all aspects related to training delivery and training system effectiveness and provides this information in easy to understand and useful operational management reports.  Identifying and addressing training system delivery issues, especially training delivery trend issues as they occur, not only increases training system effectiveness but in turn provides effective utilization of existing capability / capacity which lowers total training investment costs. 


The primary objective of the IDTLMS is to identify inefficiencies and / or trends within the training delivery mechanisms of the training system, which are the root causes of low training system effectiveness rates.  Training delivery performance information includes everything from planned training scheduling disconnects to planned scheduled training variances as a result of anything from cancellations to incorrect student resources which impact the ability of the training system to effectively accomplish scheduled training events as well as planned training objectives or goals.  Additionally the IDTLMS training delivery performance information includes operational impact information that affects either the delivery of or the level of degradedness in the training delivery as a result of training system operational issues such as maintenance down time, logistics delays or other operational detriments that impact effective training delivery.  In essence the IDTLMS captures the major components associated with training delivery and reports on training system effectiveness in relationship to both planning and actual operational issues that affect training delivery.  The IDTLMS also captures training delivery performance information such as what types of cancellation occur, why and how a cancelled planned or scheduled training event time may have been re-utilized and why. 


Addressing training delivery issues is only one component of training system effectiveness and when combined with the training system operational issues information managed by DCARS; the IDTLMS / DCARS can identify the specific true root causes that have major impacts upon training investment and assist with providing a more accurate assessment as to when additional training device capability is really needed. The IDTLMS provides the ability to identify and define trends related to training delivery which can be used to refine the training foot print or perhaps refine the planned training needs or how planned training needs are scheduled and delivered.  When the IDTLMS training delivery impact information is combined with training system operational issue information from the DCARS; these two systems can provide a wide range of training delivery performance and metric reporting capabilities.  This reporting includes issues such as misalignments of PFT / student throughput during planning and its impact upon training system effectiveness and subsequent operational costs as well as its impact upon training system capacity and future utilization and capacity related to PFT / student throughput needs. 


The IDTLMS information can be automatically fed into the Training System Cost of Ownership Prediction Tool (TSCOPT) to provide constant real time anticipated operational cost assessments as well as identification of capacity increase need points for acquisition planning purposes.  Combining the IDTLMS with the TSCOPT permits the TSCOPT to predict a host of cost driver elements in relationship to PFT needs such as training device acquisition needs by year and quantity and student throughput as a function of true training system effectiveness rate.


The IDTLMS reporting function can be an integral part of the DCARS reporting capability, or the IDTLMS can be setup with its own web-based reporting capability.  Like the DCARS, the IDTLMS reporting can be either predefined “one-button push” reports or ad-hoc reporting using a minimum set of report generation criteria.   


The IDTL begins by pulling scheduled training information from the Training or Learning Management System.  Depending upon the applicable delivery path selected; the system then asks a set of delivery assessment questions.  Once the assessment questions are answered, the system provides a delivery assessment report for verification before recording the IDTL data.