Building straggler-resilient and private machine learning systems in the cloud 

Learning objective functions for autonomous motion generation 

A case study of technology-embedded instruction: a student-centered approach to enhance teaching and learning in a K-12 school 

Closing the leadership development learning transfer gap 

Academic coaching practices for students with learning disabilities and differences 

Fabrication-aware machine learning for accuracy control in additive manufacturing 

Motor cortical representations of sensorimotor information during skill learning 

Characteristics that create a quality early learning center: An evaluation study 

Federated and distributed machine learning at scale: from systems to algorithms to applications 

Remote learning and parent engagement during a crisis 

Emotional appraisal in deep reinforcement learning 

The brain and behavior of motor learning: the what, how and where 

Examining presence as an influence on learning engagement 

Learning fair models with biased heterogeneous data 

Deep learning models for temporal data in health care 

Learning distributed representations from network data and human navigation 

Creating "excellent" learning experiences: a gap analysis of a university extension program 

Data privacy in deep learning using trusted hardware 

The key essentials for learning in the 21st century: programs and practices 

Technology integration and innovation in teaching and learning: a case study 

Learning to detect and adapt to unpredicted changes 

Integration of technology and teaching and learning practices at a technology magnet elementary school: a case study 

Learning from planners to enable new robot capabilities 

Creating transformational learning opportunities for teachers: how leadership affects adult learning on a school campus 

Differentially private and fair optimization for machine learning: tight error bounds and efficient algorithms