Fourth graders’ dyadic learning on multi-touch interfaces—versatile effects of verbalization prompts
Sign Up to like & getrecommendations! Published in 2019 at "Educational Technology Research and Development"
DOI: 10.1007/s11423-018-9619-5
Abstract: Multi-touch interfaces allow for direct and simultaneous input by several co-present learners and afford hands-on learning experiences. Additional scaffolding for strategic behavior and/or verbalizations may constructively complement collaborative learning with a multi-touch device. In this… read more here.
Keywords: learning multi; touch interfaces; multi touch; verbalization prompts ... See more keywords
Beyond supervised learning: A multi-perspective approach to outpatient physical therapy mentoring
Sign Up to like & getrecommendations! Published in 2018 at "Physiotherapy Theory and Practice"
DOI: 10.1080/09593985.2018.1443183
Abstract: ABSTRACT Background: Novice physical therapists face multiple challenges as they transition to autonomous, efficient, and seasoned therapists. Mentoring is known to facilitate growth among novice therapists; however, formalized mentoring programs within the outpatient setting are… read more here.
Keywords: beyond supervised; learning multi; program; supervised learning ... See more keywords
Deep Learning for Multi-User Proactive Beam Handoff: A 6G Application
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2023.3274810
Abstract: This paper demonstrates the use of deep learning and time series data generated from user equipment (UE) beam measurements and positions collected by the base station (BS) to enable handoffs between beams that belong to… read more here.
Keywords: learning multi; proactive beam; beam; beam handoff ... See more keywords
Learning Multi-Object Dense Descriptor for Autonomous Goal-Conditioned Grasping
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2021.3062300
Abstract: In a goal-conditioned grasping task, a robot is asked to grasp the objects designated by a user. Existing methods for goal-conditioned grasping either can only handle relatively simple scenes or require extra user annotations. This… read more here.
Keywords: dense descriptor; conditioned grasping; learning multi; goal conditioned ... See more keywords
Learning Multi-Granularity Temporal Characteristics for Face Anti-Spoofing
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2022.3158062
Abstract: Face anti-spoofing (FAS) is essential for securing face recognition systems. Despite the decent performance, few existing works fully leverage temporal information. This would inevitably lead to inferior performance because real and fake faces tend to… read more here.
Keywords: multi granularity; face anti; granularity temporal; temporal characteristics ... See more keywords