How Online Learners Build Cognitive Presence: Implications from a Machine Learning Approach
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[1] Leonidas J. Guibas,et al. Taskonomy: Disentangling Task Transfer Learning , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[2] George Siemens,et al. A Novel Model of Cognitive Presence Assessment Using Automated Learning Analytics Methods , 2017 .
[3] Noureddine Elouazizi. Point-of-View Mining and Cognitive Presence in MOOCs: A (Computational) Linguistics Perspective , 2014, EMNLP 2014.
[4] Maija Aksela,et al. Dynamics of the Community of Inquiry (CoI) within a Massive Open Online Course (MOOC) for In-Service Teachers in Environmental Education , 2018 .
[5] Lukasz Kaiser,et al. Attention is All you Need , 2017, NIPS.
[6] Nasser Giacaman,et al. Towards automated analysis of cognitive presence in MOOC discussions: a manual classification study , 2020, LAK.
[7] S. Manca,et al. Learning from decades of online distance education: MOOCs and the Community of Inquiry framework , 2017 .
[8] Ming-Wei Chang,et al. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding , 2019, NAACL.
[9] Bernt Schiele,et al. Meta-Transfer Learning for Few-Shot Learning , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[10] D. Garrison,et al. Critical thinking, cognitive presence, and computer conferencing in distance education , 2001 .
[11] Aubteen Darabi,et al. Cognitive presence in asynchronous online learning: a comparison of four discussion strategies , 2011, J. Comput. Assist. Learn..
[12] Frank Hutter,et al. Decoupled Weight Decay Regularization , 2017, ICLR.
[13] Jeffrey Dean,et al. Efficient Estimation of Word Representations in Vector Space , 2013, ICLR.