A Novel Teaching Strategy Through Adaptive Learning Activities for Computer Programming
暂无分享,去创建一个
Cleo Sgouropoulou | Christos Troussas | Akrivi Krouska | C. Troussas | C. Sgouropoulou | Akrivi Krouska
[1] Thomas K. F. Chiu,et al. Learner expertise and mathematics different order thinking skills in multimedia learning , 2017, Comput. Educ..
[2] Amy Catalano,et al. Exploring Student Preference between Textbook Chapters and Adaptive Learning Lessons in an Introductory Environmental Geology Course , 2020, TechTrends.
[3] E. Kirubakaran,et al. An evolutionary approach for personalization of content delivery in e-learning systems based on learner behavior forcing compatibility of learning materials , 2017, Telematics Informatics.
[4] John W. Martin,et al. Adaptation using Machine Learning for Personalized Elearning Environment based on Students Preference , 2019, VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE.
[5] Katerina Avramides,et al. Knowledge Construction in Computer Science and Engineering when Learning Through Making , 2016, IEEE Transactions on Learning Technologies.
[6] D. Krathwohl. A Revision of Bloom's Taxonomy: An Overview , 2002 .
[7] Joan Richardson,et al. Unpacking the revised Bloom’s taxonomy: developing case-based learning activities , 2017 .
[8] Aditya Khamparia,et al. SVM and PCA Based Learning Feature Classification Approaches for E-Learning System , 2018, Int. J. Web Based Learn. Teach. Technol..
[9] Ramesh Kumar,et al. MADM-Based Parametric Selection and Ranking of E-Learning Websites Using Fuzzy COPRAS , 2019, IEEE Transactions on Education.
[10] Gottfried Zimmermann,et al. Adaptive multimedia: Using gaze-contingent instructional guidance to provide personalized processing support , 2019, Comput. Educ..
[11] Yutaka Watanobe,et al. Learning Path Recommendation System for Programming Education Based on Neural Networks , 2020, Int. J. Distance Educ. Technol..
[12] Ilja Cornelisz,et al. Student engagement with computerized practising: Ability, task value, and difficulty perceptions , 2018, J. Comput. Assist. Learn..
[13] Cleo Sgouropoulou,et al. Collaboration and fuzzy-modeled personalization for mobile game-based learning in higher education , 2020, Comput. Educ..
[14] Aized Amin Soofi,et al. A Systematic Review of Domains, Techniques, Delivery Modes and Validation Methods for Intelligent Tutoring Systems , 2019, International Journal of Advanced Computer Science and Applications.
[15] Luis Alfaro,et al. Utilization of a Neuro Fuzzy Model for the Online Detection of Learning Styles in Adaptive e-Learning Systems , 2018 .
[16] Marco Antonelli,et al. Developing and Assessing MATLAB Exercises for Active Concept Learning , 2016, IEEE Transactions on Education.
[17] Linda J. Castañeda,et al. Personalisation in educational technology: the absence of underlying pedagogies , 2018, International Journal of Educational Technology in Higher Education.
[18] Vijayanandhini Kannan,et al. Enhancement in Critical Thinking Skills Using the Peer Instruction Methodology , 2018, 2018 IEEE 18th International Conference on Advanced Learning Technologies (ICALT).
[19] Mohamed Kouissi,et al. Multi-agent adaptive learning system based on incremental hybrid case-based reasoning (IHCBR) , 2019, SCA.
[20] P. Krishnan,et al. A modified ant colony algorithm for personalized learning path construction , 2019, J. Intell. Fuzzy Syst..
[21] Renee M. Clark,et al. Assessing the Impact of Reflective Activities in Digital and Analog Electronics Courses , 2019, IEEE Transactions on Education.
[22] Maria Virvou,et al. Computerized Adaptive Assessment Using Accumulative Learning Activities Based on Revised Bloom's Taxonomy , 2018, JCKBSE.
[23] Heidi Krömker,et al. Adaptive E-learning for Supporting Motivation in the Context of Engineering Science , 2018, Advances in Intelligent Systems and Computing.
[24] Doaa Shawky,et al. Towards a Personalized Learning Experience Using Reinforcement Learning , 2018, Machine Learning Paradigms.
[25] Uma Damotharan,et al. Analysis on Cognitive Thinking of an Assessment System Using Revised Bloom's Taxonomy , 2017, 2017 5th IEEE International Conference on MOOCs, Innovation and Technology in Education (MITE).
[26] Rehab F. Abdel-Kader,et al. Optimizing Dynamic Multi-Agent Performance in E-Learning Environment , 2018, IEEE Access.
[27] G. R. E. Said. Context-Aware Adaptive M-Learning: Implicit Indicators of Learning Performance, Perceived Usefulness, and Willingness to Use , 2019 .
[28] Lotfi A. Zadeh,et al. Fuzzy logic = computing with words , 1996, IEEE Trans. Fuzzy Syst..
[29] Sandra Gama,et al. Adaptive learning path recommender approach using auxiliary learning objects , 2020, Comput. Educ..