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Development and evaluation of a pedagogical model for an open university in Nepal based on geographical, regional, and linguistic factors
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Collaborative Learning Using VoiceThread in an Online Graduate Course
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In: Educational Technology Faculty Publications and Presentations (2013)
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and self assessment in massive online classes
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In: http://www.cogsci.ucsd.edu/%7Emboyle/COGS1/readings/Klemmer-COGS1-Peer+and+self+assesment+in+massive+online+classes.pdf (2013)
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Pour une démarche centrée sur l'utilisateur dans les ENT. Apport au Traitement Automatique des Langues.
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In: https://tel.archives-ouvertes.fr/tel-01070522 ; Sciences de l'information et de la communication. Université de Caen, 2013 (2013)
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A New Research area for Teaching and Learning Chinese as a Foreign Language: Online Language and Cultural Exchange ; 华语网络教学的新研究领域：网络语言文化交换
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In: 8th International Conference on Internet Chinese Education Proceedings ; The 8th International Conference on Internet Chinese Education ; https://halshs.archives-ouvertes.fr/halshs-01372528 ; The 8th International Conference on Internet Chinese Education, Jul 2013, Pasadena, CA, United States. pp.106-118 ; http://www.atcsl.org/atcsl/?q=node/1227 (2013)
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From the development of online resources to their local appropriation.
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In: ISSN: 1826-6223 ; EISSN: 1971-8829 ; JE-LKS:Journal of e-Learning and Knowledge Society ; https://halshs.archives-ouvertes.fr/halshs-00854131 ; JE-LKS:Journal of e-Learning and Knowledge Society, Roma : Società italiana di e-learning, 2013, 9 (1), pp.1-10. ⟨10.20368/1971-8829/800⟩ (2013)
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Enhancing Scientific Reasoning and Discussion with Conversational Agents
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In: EISSN: 1939-1382 ; IEEE Transactions on Learning Technologies ; https://halshs.archives-ouvertes.fr/halshs-00986693 ; IEEE Transactions on Learning Technologies, Institute of Electrical and Electronics Engineers, 2013, 6 (3), pp.240-247. ⟨10.1109/TLT.2013.25⟩ (2013)
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LEarning and TEaching corpora (LETEC): data-sharing and repository for research on multimodal interactions
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In: WorldCALL 2013 ; https://edutice.archives-ouvertes.fr/edutice-00778274 ; WorldCALL 2013, Jul 2013, Glasgow, United Kingdom (2013)
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Designing Online Strategy Instruction for Integrated Vocabulary Depth of Knowledge and Web-based Dictionary Skills
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In: English Publications (2013)
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Online strategy instruction for vocabulary depth-of-knowledge and web-based dictionary skills
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In: English Publications (2013)
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| 11 |
E-xperience Erasmus: Online Journaling as a Tool to Enhance Students’ Learning Experience of their Study Visit Abroad
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In: Conference Papers (2013)
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| 12 |
Power Distance in Online Learning: Experience of Chinese Learners in U.S. Higher Education
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Zhang, Yi (Leaf). - : Athabasca University Press (AU Press), 2013. : Érudit, 2013
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| 13 |
Online and Blended Learning with Google and Folio
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In: Writing and Linguistics Faculty Presentations (2013)
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| 14 |
Social Media Sentiment Analysis and Topic Detection for Singapore English
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In: DTIC (2013)
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Abstract:
Social media has become an increasingly important part of our daily lives in the last few years. With the convenience built into smart devices, many new ways of communicating have been made possible via social-media applications. Sentiment analysis and topic detection are two growing areas in Natural Language Processing, and there are increasing trends of using them in social media analytics. In this thesis, we analyze various standard methods used in supervised sentiment analysis and supervised topic detection on social media for Colloquial Singapore English. For supervised topic detection, we created a naive Bayes classifier that performed classification on 5000 annotated Facebook posts. We compared the result of our classifier against open source classifiers such as Support Vector Machine (SVM), Maximum Entropy and Labeled Latent Dirichlet Allocation (LDA). For supervised sentiment analysis, we developed a phrasal classifier that analyzed the polarity of 425 argumentative Facebook posts. Our naive Bayes classifier gave the best accuracy result of 89% for supervised topic detection on two-class classification and 57% accuracy for our six-class classification. For our supervised sentiment analysis, our phrasal sentiment analysis classifier obtained an accuracy of 35.5% with negative polarity class achieving a high precision of 94.3%. ; The original document contains color images.
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Keyword:
*CLASSIFICATION; Cybernetics; ENGLISH LANGUAGE; LEARNING MACHINES; Linguistics; MACHINE LEARNING; NAIVE BAYES CLASSIFIER; NATURAL LANGUAGE; ONLINE COMMUNITIES; PUBLIC OPINION; SENTIMENT ANALYSIS; SINGAPORE; SINGAPORE ENGLISH; SINGLISH; THESES; TOPIC DETECTION
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URL: http://www.dtic.mil/docs/citations/ADA595207
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA595207
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| 15 |
A New Research area for Teaching and Learning Chinese as a Foreign Language: Online Language and Cultural Exchange ; 华语网络教学的新研究领域：网络语言文化交换
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In: 8th International Conference on Internet Chinese Education Proceedings ; The 8th International Conference on Internet Chinese Education ; https://halshs.archives-ouvertes.fr/halshs-01372528 ; The 8th International Conference on Internet Chinese Education, Jul 2013, Pasadena, CA, United States. pp.106-118 ; http://www.atcsl.org/atcsl/?q=node/1227 (2013)
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| 16 |
An Investigation of Digital Reference Interviews: A Dialogue Act Approach
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In: School of Information Studies - Dissertations (2013)
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Impact of Critical Events in an Animated Classroom Story on Teacher Learners’ Online Comments
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| 18 |
The Influence of the Scripted Task on Learning Outcomes in Collaborative Learning
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In: Journal of Educational Technology Development and Exchange (JETDE) (2013)
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English Language Teachers' Learning to Teach with Technology through Participation in an Online Community of Practice: A Netnography of Webheads in Action
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In: Graduate Theses and Dissertations (2013)
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