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Volumn 6095 LNCS, Issue PART 2, 2010, Pages 306-308

In the zone: Towards detecting student zoning out using supervised machine learning

Author keywords

Machine Learning; Natural Language; Zoning Out

Indexed keywords

BAG OF WORDS; CLASSIFICATION MODELS; LEARNING TASKS; LEXICAL FEATURES; MACHINE-LEARNING; NATURAL LANGUAGES; SUPERVISED MACHINE LEARNING;

EID: 77955916866     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-13437-1_53     Document Type: Conference Paper
Times cited : (42)

References (7)
  • 1
  • 3
    • 67650522258 scopus 로고    scopus 로고
    • Using response times to model student disengagement
    • Beck, J.: Using response times to model student disengagement. In: ITS (2004)
    • (2004) ITS
    • Beck, J.1
  • 5
    • 77955894574 scopus 로고    scopus 로고
    • What are you feeling?
    • Investigating student affective states during expert human tutoring sessions
    • Lehman, B., Matthews, M., D'Mello, S., Person, N.: What are you feeling? In: Investigating student affective states during expert human tutoring sessions. LNCS (2008)
    • (2008) LNCS
    • Lehman, B.1    Matthews, M.2    D'Mello, S.3    Person, N.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.