Predicting students’ emotions using machine learning techniques

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 9112, Issue , 2015, Pages 537-540

  Altrabsheh, Nabeela ^a   Cocea, Mihaela ^a   Fallahkhair, Sanaz ^a  

^a UNIVERSITY OF PORTSMOUTH   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; EDUCATION; EDUCATION COMPUTING; LEARNING ALGORITHMS; LEARNING SYSTEMS;

MACHINE LEARNING TECHNIQUES; REAL TIME; THREE MODELS;

STUDENTS;

EID: 84948960342     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-19773-9_56     Document Type: Conference Paper

References (7)

1. Danisman, T., Alpkocak, A.: Feeler: Emotion classification of text using vector space model. Convention Communication, Interaction and Social Intelligence 1, 53–59 (2008)
2. D’Mello, S., Jackson, T., Craig, S., Morgan, B., Chipman, P., White, H., Person, N., Kort, B., el Kaliouby, R., Picard, R., et al.: Autotutor detects and responds to learners affective and cognitive states. In: Workshop on Emotional and Cognitive Issues at the International Conference on Intelligent Tutoring Systems (2008)
3. Hanczar, B., Hua, J., Sima, C., Weinstein, J., Bittner, M., Dougherty, E.R.: Smallsample precision of roc-related estimates. Bioinformatics 26(6), 822–830 (2010)
4. Kaur, J., Saini, J.R.: Emotion detection and sentiment analysis in text corpus: a differential study with informal and formal writing styles. International Journal of Computer Applications 101(9), 1–9 (2014)
5. Kort, B., Reilly, R., Picard, R.W.: An affective model of interplay between emotions and learning: Reengineering educational pedagogy-building a learning companion. In: Advanced Learning Technologies, pp. 43–436. IEEE Computer Society (2001)
6. Tian, F., Gao, P., Li, L., Zhang, W., Liang, H., Qian, Y., Zhao, R.: Recognizing and regulating e-learners emotions based on interactive chinese texts in e-learning systems. Knowledge-Based Systems 55, 148–164 (2014)
7. Tian, F., Zheng, Q., Zheng, D.: Mining patterns of e-learner emotion communication in turn level of chinese interactive texts: Experiments and findings. In: Computer Supported Cooperative Work in Design (CSCWD), pp. 664–670. IEEE (2010)