The Choosing Series
ADL’s “Choosing…” series comprises three papers, each on an important learning technology product: learning management systems (LMSs), learning record stores (LRSs), and authoring tools.
Open Social Learner Model (OSLM)
The Open Social Learner Model (OSLM) leverages the power of open social learning modeling and adaptive navigation support in the context of the envisioned Personal Assistant for Learning system.
The goal of the Integrating Human and Automated Tutoring (IHATS) project is to build models that predict which students will use human tutoring
The Learning Registry (LR) is a new approach to capturing, connecting, and sharing data
This game is designed to engage high school students, effectively teach and assess their critical thinking
Military Micro-Credentialing (MIL-CRED)
The Military Micro-Credentials (MIL-CRED) project aims at designing, developing, and testing a standardized micro-credential model
Mobile Learning Decision Path (MLDP)
The Mobile Learning Decision Path (MLDP) is a tool for stakeholders who are considering a mobile learning development project.
Mobile Training Implementation Framework (MoTIF)
ADL’s MoTIF project explores new types of learning and design approaches that take advantage of the capabilities of the mobile
Hyper-Personalized Intelligent Tutor (HPIT) is an open source system that is able to detect non-cognitive factors
Perceptual Adaptive Learning Modules (PALMs)
The Perceptual Adaptive Learning Modules (PALMs) is a rapid authoring tool that makes it simple to create learning content
PERvasive Learning Systems (PERLS) is a personal learning system mobile application currently being developed to support the Personal Assistant for Learning vision
Range Experience Acquisition Portal for Evaluation & Reporting (REAPER)
Range Experience Acquisition Portal for Evaluation & Reporting (REAPER) is a great success story involving collecting data from live firing ranges using the Experience API
The Re-Usability Support System for E-Learning (RUSSEL)
Semantically Enabled Automated Assessment in Virtual Environments (SAVE) provides a framework for learning procedural skills
Competency and Skills System (CASS)
Competencies are a hot topic in the e-learning industry and competency frameworks are a key component to ADL’s Total Learning Architecture (TLA).
Virtual World Sandbox
The Virtual World (VW) Sandbox is the perfect tool for anyone creating a game or simulation.