Adaptive task selection in automated educational software: a comparative study

[1]  Nicolaas J. Vriend,et al.  Will reasoning improve learning , 1997 .

[2]  James A. Kulik,et al.  Effectiveness of Intelligent Tutoring Systems , 2016 .

[3]  Patrice L. Weiss,et al.  Adapting an immersive virtual reality system for rehabilitation , 2003, Comput. Animat. Virtual Worlds.

[4]  Doaa Shawky,et al.  A Reinforcement Learning-Based Adaptive Learning System , 2018, AMLTA.

[5]  Ahmad Ewais,et al.  Adaptive MOOCs Based on Intended Learning Outcomes Using Naïve Bayesian Technique , 2020, Int. J. Emerg. Technol. Learn..

[6]  Rina Azoulay-Schwartz,et al.  Exploitation vs. exploration: choosing a supplier in an environment of incomplete information , 2004, Decis. Support Syst..

[7]  Anis Yazidi,et al.  Adaptive Task Assignment in Online Learning Environments , 2016, WIMS.

[8]  Kamal M. Kakish,et al.  Adaptive Learning to Improve Student Success and Instructor Efficiency in Introductory Computing Course , 2020 .

[9]  R. Schmidt,et al.  New Conceptualizations of Practice: Common Principles in Three Paradigms Suggest New Concepts for Training , 1992 .

[10]  Radek Pelánek,et al.  Adaptive Practice of Facts in Domains with Varied Prior Knowledge , 2014, EDM.

[11]  Anup Basu,et al.  A framework for adaptive training and games in virtual reality rehabilitation environments , 2011, VRCAI '11.

[12]  Vincent Aleven,et al.  Where’s the Reward? , 2019, International Journal of Artificial Intelligence in Education.

[13]  Jaime R. Carbonell,et al.  AI in CAI : An artificial intelligence approach to computer-assisted instruction , 1970 .

[14]  Bogdan Gabrys,et al.  An overview of self-adaptive technologies within virtual reality training , 2016, Comput. Sci. Rev..

[15]  Roberto Turrin,et al.  R2DE: a NLP approach to estimating IRT parameters of newly generated questions , 2020, LAK.

[16]  Cristina Conati,et al.  Using Bayesian Networks to Manage Uncertainty in Student Modeling , 2002, User Modeling and User-Adapted Interaction.

[17]  André Renz,et al.  Demystification of Artificial Intelligence in Education - How much AI is really in the Educational Technology? , 2020, Int. J. Learn. Anal. Artif. Intell. Educ..

[18]  Neil Selwyn,et al.  Deep learning goes to school: toward a relational understanding of AI in education , 2020 .

[19]  Richard G. Baraniuk,et al.  A Contextual Bandits Framework for Personalized Learning Action Selection , 2016, EDM.

[20]  Michael O. Duff,et al.  Q-Learning for Bandit Problems , 1995, ICML.

[21]  Leonidas J. Guibas,et al.  Deep Knowledge Tracing , 2015, NIPS.

[22]  Tae-Sun Chung,et al.  A survey of adaptive context-aware learning environments , 2019, J. Ambient Intell. Smart Environ..

[23]  Wim van den Noortgate,et al.  Monitoring Learners' Proficiency: Weight Adaptation in the Elo Rating System , 2011, EDM.

[24]  Dorit Hutzler,et al.  Adaptation Schemes for Question's Level to be Proposed by Intelligent Tutoring Systems , 2014, ICAART.

[25]  Dit-Yan Yeung,et al.  Dynamic Key-Value Memory Networks for Knowledge Tracing , 2016, WWW.

[26]  Abdellah Bennane,et al.  Adaptive Educational Software by Applying Reinforcement Learning , 2013, Informatics Educ..

[27]  The Impact of Learning Software on Improving Reading Comprehension Skills , 2020 .

[28]  Ivon Arroyo,et al.  AgentX: Using Reinforcement Learning to Improve the Effectiveness of Intelligent Tutoring Systems , 2004, Intelligent Tutoring Systems.

[29]  A Multidimensional IRT Approach for Dynamically Monitoring Ability Growth in Computerized Practice Environments , 2019, Front. Psychol..

[30]  Mohamed Jemni,et al.  Personalization of MOOCs for increasing the retention rate of learners , 2020, 2020 International Multi-Conference on: “Organization of Knowledge and Advanced Technologies” (OCTA).

[31]  Nigel Beacham,et al.  Adapting Learning Activity Selection to Emotional Stability and Competence , 2020, Frontiers in Artificial Intelligence.

[32]  Reyes Juárez-Ramírez,et al.  Evaluation module based on Bayesian networks to Intelligent Tutoring Systems , 2017, Int. J. Inf. Manag..

[33]  Boban Vesin,et al.  Elo-Rating Method: Towards Adaptive Assessment in E-Learning , 2019, 2019 IEEE 19th International Conference on Advanced Learning Technologies (ICALT).

[34]  John R. Anderson,et al.  Knowledge tracing: Modeling the acquisition of procedural knowledge , 2005, User Modeling and User-Adapted Interaction.

[35]  Marcin Bator,et al.  Elo Rating Algorithm for the Purpose of Measuring Task Difficulty in Online Learning Environments , 2019, e-mentor.

[36]  Yang Shi,et al.  Recognition and Application of Learner’s Cognitive Ability for Adaptive E-learning , 2020, 2020 IEEE 20th International Conference on Advanced Learning Technologies (ICALT).

[37]  Rina Azoulay-Schwartz,et al.  Efficient bidding strategies for Cliff-Edge problems , 2013, Autonomous Agents and Multi-Agent Systems.

[38]  Konstantinos Pliakos,et al.  Integrating machine learning into item response theory for addressing the cold start problem in adaptive learning systems , 2019, Comput. Educ..

[39]  Ginevra Castellano,et al.  Personalised human-robot co-adaptation in instructional settings using reinforcement learning , 2017 .

[40]  Haya Shamir,et al.  Effects of Personalized Learning on Kindergarten and First Grade Students Early Literacy Skills , 2017, CSEDU.

[41]  Victoria Yaneva,et al.  Predicting the Difficulty and Response Time of Multiple Choice Questions Using Transfer Learning , 2020, BEA.

[42]  Radek Pelánek,et al.  Elo-based learner modeling for the adaptive practice of facts , 2017, User Modeling and User-Adapted Interaction.

[43]  Cynthia Breazeal,et al.  Affective Personalization of a Social Robot Tutor for Children's Second Language Skills , 2016, AAAI.

[44]  H T Waaler,et al.  Bayes' Theorem , 2017, Encyclopedia of Machine Learning and Data Mining.

[45]  Pierre-Yves Oudeyer,et al.  Multi-Armed Bandits for Intelligent Tutoring Systems , 2013, EDM.

[46]  Pratyay Kuila Bayesian Network Based Intelligent Advice Generation for Self-Instructional e-Learner , 2011 .

[47]  Ahmed Elmabaredy,et al.  Web-based adaptive presentation techniques to enhance learning outcomes in higher education , 2020, Res. Pract. Technol. Enhanc. Learn..

[48]  Cristina Conati,et al.  On-Line Student Modeling for Coached Problem Solving Using Bayesian Networks , 1997 .

[49]  Christian M. Ernst,et al.  Multi-armed Bandit Allocation Indices , 1989 .

[50]  Richard G. Baraniuk,et al.  Contextual multi-armed bandit algorithms for personalized learning action selection , 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[51]  Francisco J. García-Peñalvo,et al.  iMOOC Platform: Adaptive MOOCs , 2016, HCI.

[52]  S. Klinkenberg,et al.  Computer adaptive practice of Maths ability using a new item response model for on the fly ability and difficulty estimation , 2011, Comput. Educ..

[53]  Dorit Hutzler,et al.  Learning Methods for Rating the Difficulty of Reading Comprehension Questions , 2014, 2014 IEEE International Conference on Software Science, Technology and Engineering.

[54]  Gwo-Jen Hwang,et al.  Development of an Adaptive Learning System with Multiple Perspectives based on Students? Learning Styles and Cognitive Styles , 2013, J. Educ. Technol. Soc..