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An active viewing framework for video-based learning

Samuel Dodson, Ido Roll, Matthew Fong, Dongwook Yoon, Negar M. Harandi, Sidney Fels
2018 Proceedings of the Fifth Annual ACM Conference on Learning at Scale - L@S '18  
We conducted a field study with 460 undergraduates in an Applied Science course using a video player designed for active viewing to evaluate how students engage in passive and active video-based learning  ...  This paper addresses this need by introducing a framework of active viewing, which is situated in an established model of active learning to describe students' behaviors while learning from video.  ...  Acknowledgements This work was funded by the University of British Columbia Teaching and Learning Enhancement Fund, Natural Sciences and Engineering Research Council of Canada and Microsoft Corporation  ... 
doi:10.1145/3231644.3231682 dblp:conf/lats/DodsonRFYHF18 fatcat:pc7k4ecqgjbxllt772mrcz6haa

Articles Transmit / Received Beamforming for Frequency Diverse Array with Symmetrical frequency offsets Shaddrack Yaw Nusenu Adv. Sci. Technol. Eng. Syst. J. 2(3), 1-6 (2017); View Description Detailed Analysis of Amplitude and Slope Diffraction Coefficients for knife-edge structure in S-UTD-CH Model Eray Arik, Mehmet Baris Tabakcioglu Adv. Sci. Technol. Eng. Syst. J. 2(3), 7-11 (2017); View Description Applications of Case Based Organizational Memory Supported by the PAbMM Architecture Martín, María de los ...

Jith Sarker, Abu Shami Md. Zadid Shifat, Rezoan Ahmed Shuvro
2017 Advances in Science, Technology and Engineering Systems  
Graphene based devices demand to be deliberated as a possible option for post Si based fabrication technology.  ...  As GFETs experiences low Ion/Ioff ratio, opening of band gap in bilayer graphene has made graphene an enduring replacement for semiconductors, specially, in high speed electronics.  ...  Although our works is in embryonic stage, in comparison to others, we can strongly recommend G-MOSFET as a promising candidate for post Si era.  ... 
doi:10.25046/aj0203177 fatcat:qhd2rteuajdqzo77fq74ixwevu

Time-Aware and View-Aware Video Rendering for Unsupervised Representation Learning [article]

Shruti Vyas, Yogesh S Rawat, Mubarak Shah
2018 arXiv   pre-print
We present an unsupervised representation learning framework to encode scene dynamics in videos captured from multiple viewpoints.  ...  The framework takes as input video clips from different viewpoints and time, learns an internal representation and uses this representation to render a video clip from an arbitrary given viewpoint and  ...  Acknowledgments This research is based upon work supported in parts by the National Science Foundation under Grant No. 1741431; and the Office of the Director of National  ... 
arXiv:1811.10699v2 fatcat:osgxwvlybvccbhusbo6bnsjfuu

Articulating Design Principles for Productive Use of Video in Preservice Education

Hosun Kang, Elizabeth A. van Es
2018 Journal of Teacher Education  
Despite this increased interest and the potential of video, the field lacks an integrated framework for situating video within the learning ecology of teacher preparation.  ...  Setting specific learning objectives for a video-embedded activity.  ...  She studies preservice and inservice teacher learning in the context of mathematics education, the influence of the use of video on teacher learning and practice, and the design of learning environments  ... 
doi:10.1177/0022487118778549 fatcat:jscw4j46drdorank2soxw4xgwm

Video-based learning ecosystem to support active learning: application to an introductory computer science course

Michail N. Giannakos, John Krogstie, Trond Aalberg
2016 Smart Learning Environments  
In this paper, we present a video-based learning ecosystem framework and the first captured results of its application in an introductory computer science course.  ...  The framework incorporates basic e-learning tools and traditional learning practices, making it accessible to anyone wanting to implement a video-assisted project-based experience in his/her course.  ...  The paper is an extended version of the paper "Toward a Learning Ecosystem to Support Flipped Classroom: A Conceptual Framework and Early Results" presented in the 2nd International Conference on Smart  ... 
doi:10.1186/s40561-016-0036-0 fatcat:2graqs3y4jh75jtlccn67dqcnq

View-invariant Deep Architecture for Human Action Recognition using late fusion [article]

Chhavi Dhiman, Dinesh Kumar Vishwakarma
2019 arXiv   pre-print
The STD stream learns long-term view-invariant shape dynamics of action using human pose model (HPM) based view-invariant features mined from structural similarity index matrix (SSIM) based key depth human  ...  Human action Recognition for unknown views is a challenging task.  ...  RELATED WORK Deep learning based human action recognition solutions is proliferating with an added advantage one over another.  ... 
arXiv:1912.03632v1 fatcat:uf7uvzm7qff7tdecrmlpn2hkxi

Learning a Deep Model for Human Action Recognition

Reshma V. Pawar
2019 International Journal for Research in Applied Science and Engineering Technology  
To explain these difficulties, we propose a novel framework for anticipating activity from video that feed to framework.  ...  Video based human activity acknowledgment has numerous applications in human-PC association, observation, video ordering and recovery.  ...  We introduced a pipeline for producing an enormous corpus of engineered preparing information required for profound learning.  ... 
doi:10.22214/ijraset.2019.6364 fatcat:zfnjggowvfff7mtsz3yvg33c2y


Sadia Ashraf
2022 Zenodo  
Therefore, we offer an e-learning system design framework based on learning and e-learning theories for primary education. The paper first discusses educational theories from different domains.  ...  Lastly, the framework was validated by developing an e-learning system based on design principles. We evaluated students academic performance after they used the developed system for three weeks.  ...  Learning Activities Description Video A short video presenting the main concepts of the topic. Game Multi-level game based on the contents of the lesson.  ... 
doi:10.5281/zenodo.6845101 fatcat:r5ch7mypafafflzgfxhtfznnme

Video viewing in teacher education and professional development: A literature review

Cyrille Gaudin, Sébastien Chaliès
2015 Educational Research Review  
video viewing, the types of videos viewed, and the effects of video viewing on teacher education and professional development.  ...  Two hundred and fifty-five articles were collected, summarized and categorized using a conceptualization that includes four aspects: teachers' activity as they view a classroom video, the objectives of  ...  For example, van Es (2012) suggests a "framework for the development of a teacher learning community in a video club" based on the three central features of teacher learning communities: collegial and  ... 
doi:10.1016/j.edurev.2015.06.001 fatcat:zqwb32s6jvcvvjphjrcvg4uf6q

Deep Active Learning for Video-based Person Re-identification [article]

Menglin Wang, Baisheng Lai, Zhongming Jin, Xiaojin Gong, Jianqiang Huang, Xiansheng Hua
2018 arXiv   pre-print
In this paper, we address this problem by integrating an active learning scheme into a deep learning framework.  ...  While being simple, the proposed method demonstrates its effectiveness on three video-based person re-ID datasets.  ...  In this paper, we have presented a video-based person re-ID framework that integrates an active learning strategy to progressively select the most TP-likely tracklet-pairs for annotation.  ... 
arXiv:1812.05785v1 fatcat:2wdhetrj3vdblotnvcdzgskub4

Multi-View Active Learning for Video Recommendation

Jia-Jia Cai, Jun Tang, Qing-Guo Chen, Yao Hu, Xiaobo Wang, Sheng-Jun Huang
2019 Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence  
To train an effective recommender system with lower annotation cost, we propose an active learning approach to fully exploit the visual view of videos, while querying as few annotations as possible from  ...  On the other hand, a novel strategy based on prediction inconsistency and watching frequency is proposed to actively select the most important videos for metadata querying.  ...  Acknowledgments This research was supported by NSFC(61876081, 61732006) and the Fundamental Research Funds for the Central Universities, NO.NE2019104.  ... 
doi:10.24963/ijcai.2019/284 dblp:conf/ijcai/CaiTCHWH19 fatcat:r6qdqsrzkja3lbv2ptxi3jgnai

Secure IoT Systems Monitor Framework using Probabilistic Image Encryption

P.G. Narmadha, K. Pooja, K . Muthulakshmi
2020 International Journal of Advanced engineering Management and Science  
Here we present not only an update that expands previous similar surveys but also a emphasis on contextual abnormal detection of human activity , especially in video surveillance applications.  ...  In recent years, the modeling of human behaviors and patterns of activity for recognition or detection of special events has attracted considerable research interest.  ...  DEEP LEARNING LIBRARIESAND FRAMEWORKS Deep learning ( DL) is an artificial intelligence branch that allows computers the ability to learn without express programming.  ... 
doi:10.22161/ijaems.66.6 fatcat:q7cxfx4775duveit4cjqk5wgva

Driving Student Motivation in MOOCs through a Conceptual Activity-Motivation Framework

Khalil, Ebner
2017 Zeitschrift für Hochschulentwicklung  
This study presents a conceptual Learning Analytics Activity-Motivation framework that looks into increasing students' activity in MOOCs.  ...  The proposed framework followed an empirical data analysis from MOOC variables using different case studies.  ...  Based on the validation of this hypothesis, we proposed an Activity-Motivation model with the aid of Learning Analytics techniques and a gamification element.  ... 
doi:10.3217/zfhe-12-01/06 fatcat:aezszvqmfvgwfchq372smkv4bm

The technological integration of a simulation pedagogical approach for physical education: The GoPro PE trial 1.0

Brendon Hyndman, Lisa Papatraianou
2017 Learning Communities International Journal of Learning in Social Contexts  
experiences for PSTs.  ...  To date, there is little investigation of the potential of simulating PE practical learning processes via GoPro video technology.  ...  By wearing video technology with 'point-of-view' angles, video can record practical activities in which the audience feels part of the action taking place (Chalfen, 2014) .  ... 
doi:10.18793/lcj2017.21.02 fatcat:mqnqrqwmrnhjfja5hrmyxxl3xy

Joint detection and recognition of human actions in wireless surveillance camera networks

Nikhil Naikal, Pedram Lajevardi, Shankar. S. Sastry
2014 2014 IEEE International Conference on Robotics and Automation (ICRA)  
We have extended this framework to the single-view and multi-view video setting to jointly detect and recognize actions.  ...  The foundation of our work is based on Deformable Part Models (DPMs) for detecting objects in static images.  ...  Thus, we have learned 44 DKMs using the framework presented in section IV-C. We learn separate models for the single-view and multi-view experiments.  ... 
doi:10.1109/icra.2014.6907554 dblp:conf/icra/NaikalLS14 fatcat:ty2m4ygwr5hozntekhjo3i2otm
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