Choosing Reading Passages for Vocabulary Learning by Topic to Increase Intrinsic Motivation

Frontiers in Artificial Intelligence and Applications

Volumn 158, Issue , 2007, Pages 566-568

  Heilman, Michael ^a   Juffs, Alan ^b   Eskenazi, Maxine ^a  

^a Carnegie Mellon University ^*  (United States)

^b UNIVERSITY OF PITTSBURGH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

MOTIVATION; SURVEYS;

INTRINSIC MOTIVATION; LEVEL OF INTEREST; POST TEST; RANDOMIZED EXPERIMENTS; STUDENTS' INTERESTS; TUTORING SYSTEM; VOCABULARY LEARNING;

STUDENTS;

EID: 85140044447     PISSN: 09226389     EISSN: 18798314     Source Type: Book Series    
DOI: None     Document Type: Conference Paper

References (4)

1. Heilman, M., Collins-Thompson, K., Callan, J. & Eskanazi, M. (2006). Classroom success of an Intelligent Tutoring System for lexical practice and reading comprehension. Proceedings of the Ninth International Conference on Spoken Language Processing.
2. Vapnik, V. N. (1995), The Nature of Statistical Learning Theory. Springer.
3. Joachims, T. (1999). Making large-Scale SVM Learning Practical. Advances in Kernel Methods – Support Vector Learning, B. Schölkopf and C. Burges and A. Smola (ed.), MIT-Press.
4. Coxhead, A. (2000). A New Academic Word List. TESOL Quarterly, 34(2): 213-238.