促进个性化学习的理论、技术与方法——对美国《教育传播与技术研究手册(第四版)》的学习与思考之三

[1] The contribution of learner characteristics in the development of computer-based adaptive learning environments[J] . Mieke Vandewaetere,Piet Desmet,Geraldine Clarebout.Computers in Human Behavior . 2010 (1)

[2] A New Paradigm for Intelligent Tutoring Systems: Example-Tracing Tutors[J] . Vincent Aleven,Bruce M. McLaren,Jonathan Sewall,Kenneth R. Koedinger.International Journal of Artificial Intelligence . 2010 (2)

[3] Emotion Sensors Go To School[J] . Vania Dimitrova,Riichiro Mizoguchi,Benedict du Boulay,Art Graesser,Ivon Arroyo,David G. Cooper,Winslow Burleson,Beverly Park Woolf,Kasia Muldner,Robert Christopherson.Frontiers in Artificial Intelligence and Applicat . 2009

[4] User/tutor optimal learning path in e-learning using comprehensive neuro-fuzzy approach [J]. EDUCATIONAL RESEARCH REVIEW, 2009, 4 (02) : 142 - 155

[5] Evaluating an Intelligent Tutoring System for Design Patterns: the DEPTHS Experience[J] . Journal of Educational Technology & Society . 2009 (2)

[6] Combining shared control with variability over surface features: Effects on transfer test performance and task involvement[J] . Computers in Human Behavior . 2008 (2)

[7] Selecting learning tasks: Effects of adaptation and shared control on learning efficiency and task involvement[J] . Contemporary Educational Psychology . 2008 (4)

[8] The Andes Physics Tutoring System: Lessons Learned[J] . Kurt VanLehn,Collin Lynch,Kay Schulze,Joel A. Shapiro,Robert Shelby,Linwood Taylor,Don Treacy,Anders Weinstein,Mary Wintersgill.International Journal of Artificial Intelligence in Education . 2005 (3)

[9] Some Unusual Open Learner Models[J] . Chee-Kit Looi,Gord McCalla,Bert Bredeweg,Joost Breuker,Susan Bull,Abdallatif S. Abu-Issa,Harpreet Ghag,Tim Lloyd.Frontiers in Artificial Intelligence and Applicat . 2005

[10] Evaluating Bayesian networks’ precision for detecting students’ learning styles[J] . Patricio García,Analía Amandi,Silvia Schiaffino,Marcelo Campo.Computers & Education . 2005 (3)

[1] The contribution of learner characteristics in the development of computer-based adaptive learning environments[J] . Mieke Vandewaetere,Piet Desmet,Geraldine Clarebout.Computers in Human Behavior . 2010 (1)

[2] A New Paradigm for Intelligent Tutoring Systems: Example-Tracing Tutors[J] . Vincent Aleven,Bruce M. McLaren,Jonathan Sewall,Kenneth R. Koedinger.International Journal of Artificial Intelligence . 2010 (2)

[3] Emotion Sensors Go To School[J] . Vania Dimitrova,Riichiro Mizoguchi,Benedict du Boulay,Art Graesser,Ivon Arroyo,David G. Cooper,Winslow Burleson,Beverly Park Woolf,Kasia Muldner,Robert Christopherson.Frontiers in Artificial Intelligence and Applicat . 2009

[4] User/tutor optimal learning path in e-learning using comprehensive neuro-fuzzy approach [J]. EDUCATIONAL RESEARCH REVIEW, 2009, 4 (02) : 142 - 155

[5] Evaluating an Intelligent Tutoring System for Design Patterns: the DEPTHS Experience[J] . Journal of Educational Technology & Society . 2009 (2)

[6] Combining shared control with variability over surface features: Effects on transfer test performance and task involvement[J] . Computers in Human Behavior . 2008 (2)

[7] Selecting learning tasks: Effects of adaptation and shared control on learning efficiency and task involvement[J] . Contemporary Educational Psychology . 2008 (4)

[8] The Andes Physics Tutoring System: Lessons Learned[J] . Kurt VanLehn,Collin Lynch,Kay Schulze,Joel A. Shapiro,Robert Shelby,Linwood Taylor,Don Treacy,Anders Weinstein,Mary Wintersgill.International Journal of Artificial Intelligence in Education . 2005 (3)

[9] Some Unusual Open Learner Models[J] . Chee-Kit Looi,Gord McCalla,Bert Bredeweg,Joost Breuker,Susan Bull,Abdallatif S. Abu-Issa,Harpreet Ghag,Tim Lloyd.Frontiers in Artificial Intelligence and Applicat . 2005

[10] Evaluating Bayesian networks’ precision for detecting students’ learning styles[J] . Patricio García,Analía Amandi,Silvia Schiaffino,Marcelo Campo.Computers & Education . 2005 (3)