An experimental study on an adaptive e-learning environment based on learner’s personality and emotion
暂无分享,去创建一个
[1] Jieun Kim,et al. Personality and its effects on learning performance: Design guidelines for an adaptive e-learning system based on a user model , 2013 .
[2] Mariko Osaka,et al. When do negative and positive emotions modulate working memory performance? , 2013, Scientific Reports.
[3] Essaid El Bachari,et al. DESIGN OF AN ADAPTIVE E-LEARNING MODEL BASED ON LEARNER ’ S PERSONALITY , 2011 .
[4] Angela J. Yu,et al. Emotion and decision-making: affect-driven belief systems in anxiety and depression , 2012, Trends in Cognitive Sciences.
[5] Lora Aroyo,et al. Adaptive Web-Based Educational Hypermedia , 2004, Web Dynamics.
[6] C. Darwin. The Expression of the Emotions in Man and Animals , .
[7] Hadi Moradi,et al. A fuzzy cognitive map model to calculate a user's desirability based on personality in e-learning environments , 2016, Comput. Hum. Behav..
[8] A. Pomportsis,et al. AES-CS: Adaptive Educational System based on Cognitive Styles , 2002 .
[9] R. Pekrun,et al. Emotions and Motivation in Learning and Performance , 2014 .
[10] Nasser Ghasem-Aghaee,et al. Design and Implementation of an E-Learning Model by Considering Learner's Personality and Emotions , 2008, World Congress on Engineering.
[11] Andrew Ortony,et al. The Cognitive Structure of Emotions , 1988 .
[12] Sotiris B. Kotsiantis,et al. Preventing Student Dropout in Distance Learning Using Machine Learning Techniques , 2003, KES.
[13] Peter V. W. Hartmann,et al. The Five-Factor Model: Psychometric, biological and practical perspectives , 2006 .
[14] Wendy Hall,et al. ILASH: Incorporating learning strategies in hypermedia , 2003 .
[15] George D. Magoulas,et al. INSPIRE: An INtelligent System for Personalized Instruction in a Remote Environment , 2001, OHS-7/SC-3/AH-3.
[16] Judith Masthoff,et al. Impact of a Learner’s Personality on the Selection of the Next Learning Activity , 2018 .
[17] Luis-Felipe Rodríguez,et al. Cognitive computational models of emotions , 2011, IEEE 10th International Conference on Cognitive Informatics and Cognitive Computing (ICCI-CC'11).
[18] Vassilis Loumos,et al. Dropout prediction in e-learning courses through the combination of machine learning techniques , 2009, Comput. Educ..
[19] RaniMonika,et al. An ontology-based adaptive personalized e-learning system, assisted by software agents on cloud storage , 2015 .
[20] Sarah Carr. As Distance Education Comes of Age, the Challenge Is Keeping the Students. , 2000 .
[21] Hung-Chang Liao,et al. Data mining for adaptive learning in a TESL-based e-learning system , 2011, Expert Syst. Appl..
[22] Christian Wolf,et al. iWeaver: Towards 'Learning Style'-based e-Learning in Computer Science Education , 2003, ACE.
[23] Gerhard Weber,et al. Adaptive learning systems in the World Wide Web , 1999 .
[24] Andrzej Niesler,et al. User Profiling in Intelligent Tutoring Systems Based on Myers-Briggs Personality Types , 2009 .
[25] Cristina Conati,et al. Modeling Students' Emotions from Cognitive Appraisal in Educational Games , 2002, Intelligent Tutoring Systems.
[26] P. Petta,et al. Computational models of emotion , 2010 .
[27] Hadi Moradi,et al. A survey of personality and learning styles models applied in virtual environments with emphasis on e-learning environments , 2016, Artificial Intelligence Review.
[28] Scott D. Johnson,et al. FACTORS THAT INFLUENCE STUDENTS’ DECISION TO DROPOUT OF ONLINE COURSES , 2019, Online Learning.
[29] Essaid El Bachari,et al. A Personalized E-Learning Based on Recommender System , 2016 .
[30] Pierre Chalfoun,et al. Predicting the Emotional Reaction of the Learner with a Machine Learning Technique , 2006 .
[31] Patrick Buckley,et al. Individualising gamification: An investigation of the impact of learning styles and personality traits on the efficacy of gamification using a prediction market , 2017, Comput. Educ..
[32] Erman Yukselturk,et al. Predicting Dropout Student: An Application of Data Mining Methods in an Online Education Program , 2014 .
[33] I. Blanchette,et al. The influence of affect on higher level cognition: A review of research on interpretation, judgement, decision making and reasoning , 2010 .
[34] Eva García,et al. An empirical study on m-learning adaptation: Learning performance and learning contexts , 2015, Comput. Educ..
[35] Erman Yukselturk,et al. Profiling Potential Dropout Students by Individual Characteristics in an Online Certificate Program , 2009 .
[36] T. Dewar,et al. Online Learners and Their Learning Strategies , 2000 .
[37] Ali Mustafa,et al. An approach to Adaptive E-learning Hypermedia System based on Learning Styles (AEHS-LS): Implementation and evaluation , 2011 .
[38] Wolfgang Nejdl,et al. A logical characterization of adaptive educational hypermedia , 2004, New Rev. Hypermedia Multim..
[39] O. P. Vyas,et al. An ontology-based adaptive personalized e-learning system, assisted by software agents on cloud storage , 2015, Knowl. Based Syst..