Job Summary:
Learning science is a process and practice that applies the learning sciences using human-centered engineering design methodologies and data informed decision-making to support learners and their development. The learning scientist uses data and knowledge of enterprise structures to help promote good decision-making in the use of learning ecosystem components.
The candidate performs research-to-practice translation of learning science. Contributes to the evidence-based design of learning materials, curricula, and enterprise training/education systems; advises on pedagogical processes; designs, develops, and validates formative and summative assessments; advises on training/education evaluations; and performs independent quality assurance on digital learning materials.
Job Responsibilities:
Collaborate with the multidisciplinary RD&E team (e.g., Technical Product Managers, Software Engineers, UIUX Designers, Test and Evaluation Analysts and Engineers, Instructional Designers, Standards and Policy) to:
- Define data requirements to support learner and learning insights through analytics and dashboards (i.e., visualizations of learning data for instructors, learners, and other stakeholders) within a learning ecosystem
- Support the development of competency-based learning, including the definition of competencies and their aggregation into competency frameworks, and the descriptive data needed to support the use of competency information across the ecosystem.
- Apply knowledge and skills related to human performance assessment to the development of behavioral performance assessments based on learner interaction with learning activities within a learning ecosystem
- Collaborate with the R&D team to implement digital learning content and assessments in available learning technologies
- Ensure the science of learning is represented within ADL Initiative projects and is communicated effectively to diverse teammates and layperson stakeholders
- Apply human centered design and real world, complex systems mindset to the design and development of learning ecosystems
- Coordinate the design and development of formal and informal programs of instruction
- Use learning science to inform longitudinal curriculum designs that leverage multiple learning technologies and support tailored learning pathways
- Execute work related to pedagogical (andragogical) models of the future
- Execute work related to data-driven learning to optimize the transfer of learning
- Author and/or edit informational publications (e.g., news articles) and technical documentation (e.g., technology-enabled curriculum design plans) relevant to learning science and learning technologies
- Support the analysis and evaluation of training and education content as well as the broader learning ecosystem (e.g., effectiveness of dashboards for generating user insights)
- Perform other duties not outlined above, at the discretion of the ADL Initiative leadership
Minimum Qualifications:
- Bachelor’s Degree and a minimum of five (5) years of progressively responsible learning science experience. An equivalent combination of education (e.g., cognitive science, psychology) and experience will be considered
- Knowledge of learning science, training/education assessments, learning analytics, and learning technologies
- Familiarity organizing and conducting demonstrations, testing, and/or experimentation in a military context
- Familiarity with the military context
- Ability to design assessment strategies and assessment interventions for instructional contexts
- Ability to apply learning science to develop requirements and desired instructional outcomes
- Ability to apply learning science expertise to ill-structured problems
- Ability to ‘own’ and proactively drive work
- Ability to communicate and coordinate with military personnel (e.g., senior leaders, instructors, learners)
- Acute attention to detail
- Excellent time management and organizational skills with the ability to handle multiple tasks and competing priorities
- Advanced-level proficiency with Microsoft Office (Word, PowerPoint, Excel, Outlook)
- Excellent command of English (oral and written communication)
- Ability to obtain and maintain U.S. Secret security level clearance
Desired Qualifications:
- Familiarity of educational data mining and platform instrumentation
- Experience embedding data hooks to analyze instructional effectiveness and/or developing educational technology tools
· Familiarity with IEEE data standards such as: IEEE P9274.1 Experience API (xAPI) 2.0; P2881 Standard for Learning Metadata; IEEE 1484.20.3 Sharable Competency Definitions; IEEE 2997 standard for Learner Records
- Familiarity of the use of human-centered design
- Familiarity with distributed learning technologies, such as e-learning, mobile learning, e-books, learning management systems, and course authoring tools
- Familiarity with emerging learning systems, such as enterprise learning ecosystems and mixed reality
- Familiarity with learning analytics and using learning data to inform instructional interventions or decisions
- Familiarity with experimental design, as related to testing training or education interventions
- Ability to create engaging and effective learning experiences
- Ability to synthesize distributed learning best practices and new tools, technologies, and infrastructures to enable effective learning
Job Type: Full-time
Pay: $95,376.43 - $114,861.93 per year
Benefits:
- 401(k)
- 401(k) matching
- Dental insurance
- Health insurance
- Life insurance
- Paid time off
- Professional development assistance
- Vision insurance
Experience level:
Schedule:
- 8 hour shift
- Monday to Friday
Education:
Experience:
- learning science: 5 years (Required)
- training/education assessments: 3 years (Required)
- learning analytics and learning technologies: 3 years (Required)
- Military training context: 3 years (Required)
Security clearance:
Work Location: Remote