This is an update and revised reissuance of BAA FY2018 topic #4: 4. Pervasive Learning System (PERLS) – Personal Self-Regulated Learning and Training
The ADL Initiative requests five-page white paper responses against a revised Topic 4 (below) solicitation. Offerors who previously submitted to this topic are encouraged to revise and resubmit their white papers. Offerors should otherwise follow the guidelines in the original BAA solicitations.
White Papers are requested by 18 May 2018 (submissions received by 0759 ET on 21 May 2018 will be included in this review process).
This solicitation is for maturing the existing PERLS software (described below). This software will be provided as Government Off-The-Shelf (GOTS) software (Distribution Statement C with ADL Initiative permission) upon contract award. The ADL Initiative will make this software available for offeror examination, by appointment, from 9 April to 11 May 2018. Offerors interested in reviewing the software must send a request via email to BAA@adlnet.gov.
The ADL Initiative will hold two virtual industry days via GoToMeeting, on 18 and 19 April at 1300-1430 ET. (Both meetings are intended to cover the same topics, but are offered twice for scheduling purposes.) To register for a meeting send a request via email to BAA@adlnet.gov.
White Papers should be submitted directly to the email address, BAA@adlnet.gov; this email group includes Washington Headquarters Services (WHS)/Acquisition Directorate (AD) contracts personnel (Mr. Weedin and Mr. Slagle) and ADL Initiative Points of Contact (POC) (Dr. Schatz, Dr. Brewer, and Mr. Bizub).
WHS/AD Contracting POCs:
Mr. Anthony Weedin, Team Lead
Mr. Steven Slagle, Branch Chief
ADL Initiative POCs:
Dr. Sae Schatz
Dr. Van Brewer
External R&D Lead
Mr. Warren Bizub
The ADL Initiative seeks proposals for the continued maturation, interoperability integration, and applied testing of the PERLS personal assistant for learning capability.
The ADL Initiative has developed a capability for self-regulated learning, that is, a mobile personal assistant for learning. The system, called “PERLS,” was developed through prior research into adaptive, distributed micro-learning theory. The prototype uses a native iOS application combined with server-based content and processes to present personalized instruction to learners, adapted via machine learning, based upon learner interaction cues, learning phases, and context awareness. The technical architecture uses both micro-services architecture, for flexible and agile software, and graph databases for flexible and real-time recommendation engines. The current prototype meets criteria between Technology Readiness Levels 5 and 6.
Proposals should evolve the prototype capability to a mature Technology Readiness Level 6, to support near-term transition of this capability into operational use.
At each proposed major stage of development, the work shall be completed in such a manner that the PERLS system is functional and documented to such a degree that it can be set up and implemented from documentation only. Offerors will be required to define (and meet) specific measures of performance for each milestone.
Although not necessarily limited to these, proposals must address all of the following:
Proposals should address the following incremental capabilities as Options. (Related topics can be combined into the same Option; separate Options are not required for each item).
Offerors should consider integrating their PERLS efforts with the ADL Initiative’s ongoing TLA project, including with its annual testing event (which, this year, is scheduled for August 2018). PERLS would serve as an “activity provider” in the larger TLA project. (For more details on the TLA architecture, contact the ADL Initiative.) Participation in the TLA provides technical integration testing opportunities to verify the operation of interoperability specifications, an empirical testing population and established research processes, and opportunities to integrate with external learning content. Integration with the TLA project would require the following tasks. Offerors should ensure that these items do not distract from the primary goal of maturating the PERLS capability.