Agent-Based Conceptual Framework for Collaborative Educational Resources Adaptation in Virtual Learning Environments
Resumo
Frequently, the existing resources in Virtual Learning Environments (VLEs), used in distance education courses and blended, are presented in the same way for all students. So, the approach adopted in this paper in order to solve this problem is based on a framework called ArCARE (Conceptual Framework of Educational Resources Adaptation in Virtual Learning Environments), which allows adaptation of resources for students in VLEs. It aims the construction of students’ knowledge, using a multi-agent system technology that handles an open learner model ontology. These ArCARE resources are recommendation and adaptation of collaborative activities such as Pedagogical Architectures for the students have a more effective learning and increase in skills levels of a particular course. Results obtained in a flexible curriculum course of Computational Thinking show the feasibility of the proposal.
Palavras-chave:
Virtual Learning Environments, Educational Resources Adaptation, ArCARE, Multi-Agent System, Learning Model Ontology, Pedagogical Architectures, Computational Thinking
Referências
AP CollegeBoard Computer Science Principles – Effective Fall (2016) [link]
Bremgartner, V., Netto, J. M., and Menezes, C. S. (2017) “Conceptual Framework of Educational Resources Adaptation for Improve Collaborative Learning in Virtual Learning Environments”. Proceedings of 47th IEEE Frontiers in Education Conference. Indianapolis, USA.
Bull, S. and Kay, J. (2016) “SMILI☺: a Framework for Interfaces to Learning Data in Open Learner Models, Learning Analytics and Related Fields”. International Journal of Artificial Intelligence in Education, v26 n1 p293-331.
Dascalu, M., Bodea, C., Moldoveanu, A., Mohora, A., Lytras, M., & de Pablos, P. O. (2015) “A recommender agent based on learning styles for better virtual collaborative learning experiences”. Computers in Human Behavior, Volume 45, pp. 243-253, ISSN 0747-5632.
Eryilmaz, E., Chiu, M. M., Thoms, B., Mary, J., & Kim, R. (2013) “Design and evaluation of instructor-based and peer-oriented attention guidance functionalities in an open source anchored discussion system”. Computers & Education 71, Elsevier.
Georgeff, M., Pell, B., Pollack, M., Tambe, M. e Wooldridge, M. (1999) “The Belief-Desire-Intention Model of Agency”. In: Intelligent Agents V, LNAI 1555, Springer, pp. 1–10.
Google Computational Thinking Course for Educators (2017) [link]
Honey and Mumford's Learning Styles Questionnaire. (2017) [link]
Hosseini, R., Hsiao, I-H., Guerra, J., Brusilovsky, P. (2015) “What Should I Do Next? Adaptive Sequencing in the Context of Open Social Student Modeling”. Proceedings of 10th European Conference on Technology Enhanced Learning, EC-TEL 2015, Toledo, Spain, pp 155-168.
ISTE – International Society for Technology in Education; CSTA Computer Science Teachers Association. (2017) Computational Thinking Leadership Toolkit First Edition, [link]
JADE. (2017) Java Agent DEvelopment Framework, [link]
JADEX. (2017) JADEX Active Components, [link]
Järvelä, S., and Hadwin, A. F. (2013) “New frontiers: Regulating learning in CSCL”. Educational Psychologist, 48(1), 25-39.
Latham, A., Crockett, K., and McLean, D. (2013) “An adaptation algorithm for an intelligent natural language tutoring system”. Computers & Education 71, Elsevier, pp. 97–110
LIP. (2017) Learner Information Package Specification 1.0.1, [link]
LOM. IEEE, LTSC. (2017). Draft Standard for Learning Technology - Learning Object Metadata. Technical report, IEEE Standards Department, New York.
Moodle (2017) A Free, Open Source Course Management System for Online Learning, [link]
Oliveira, E. A. e Tedesco, P. (2009) “i-Collaboration in Practice: Results from our Investigation within the Cleverpal Environment”. Proceedings of IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS), pp. 347-351.
Piaget, J. and Inhelder, B. (1969) The Psychology Of The Child. Basic Books.
Protégé. (2017) The Ontology Editor, [link]
Santos, L. N., Castro, A. N., and Menezes, C. S. (2012) “Flexible Virtual Environments for Teaching and Learning”. 42nd ASEE/IEEE Frontiers in Education Conference Proceedings (FIE), Seattle, WA, USA.
Sarmiento, C., Duarte, O., Barrera, M., and Soto, R. (2016) “Semi-Automated Academic Tutor for the Selection of Learning Paths in a Curriculum: An Ontology-Based Approach”. Proceedings of the 8th International Conference on Engineering Education (ICEED), Selangor, Malaysia.
Soloman, B. A., Felder, R. M. (2017) Index of Learning Styles Questionnaire, [link]
Tavares, L. O., Menezes, C. S., and Nevado, R. A. (2012) “Pedagogical architectures to support the process of teaching and learning of computer programming”. Proceedings of 42th IEEE Frontiers in Education Conference. Seattle, USA.
Weka (2017) Data Mining Software, [link]
Wing, J. (2006) “Computational Thinking”. Communications of the ACM, 3 ed.:33-35.
Bremgartner, V., Netto, J. M., and Menezes, C. S. (2017) “Conceptual Framework of Educational Resources Adaptation for Improve Collaborative Learning in Virtual Learning Environments”. Proceedings of 47th IEEE Frontiers in Education Conference. Indianapolis, USA.
Bull, S. and Kay, J. (2016) “SMILI☺: a Framework for Interfaces to Learning Data in Open Learner Models, Learning Analytics and Related Fields”. International Journal of Artificial Intelligence in Education, v26 n1 p293-331.
Dascalu, M., Bodea, C., Moldoveanu, A., Mohora, A., Lytras, M., & de Pablos, P. O. (2015) “A recommender agent based on learning styles for better virtual collaborative learning experiences”. Computers in Human Behavior, Volume 45, pp. 243-253, ISSN 0747-5632.
Eryilmaz, E., Chiu, M. M., Thoms, B., Mary, J., & Kim, R. (2013) “Design and evaluation of instructor-based and peer-oriented attention guidance functionalities in an open source anchored discussion system”. Computers & Education 71, Elsevier.
Georgeff, M., Pell, B., Pollack, M., Tambe, M. e Wooldridge, M. (1999) “The Belief-Desire-Intention Model of Agency”. In: Intelligent Agents V, LNAI 1555, Springer, pp. 1–10.
Google Computational Thinking Course for Educators (2017) [link]
Honey and Mumford's Learning Styles Questionnaire. (2017) [link]
Hosseini, R., Hsiao, I-H., Guerra, J., Brusilovsky, P. (2015) “What Should I Do Next? Adaptive Sequencing in the Context of Open Social Student Modeling”. Proceedings of 10th European Conference on Technology Enhanced Learning, EC-TEL 2015, Toledo, Spain, pp 155-168.
ISTE – International Society for Technology in Education; CSTA Computer Science Teachers Association. (2017) Computational Thinking Leadership Toolkit First Edition, [link]
JADE. (2017) Java Agent DEvelopment Framework, [link]
JADEX. (2017) JADEX Active Components, [link]
Järvelä, S., and Hadwin, A. F. (2013) “New frontiers: Regulating learning in CSCL”. Educational Psychologist, 48(1), 25-39.
Latham, A., Crockett, K., and McLean, D. (2013) “An adaptation algorithm for an intelligent natural language tutoring system”. Computers & Education 71, Elsevier, pp. 97–110
LIP. (2017) Learner Information Package Specification 1.0.1, [link]
LOM. IEEE, LTSC. (2017). Draft Standard for Learning Technology - Learning Object Metadata. Technical report, IEEE Standards Department, New York.
Moodle (2017) A Free, Open Source Course Management System for Online Learning, [link]
Oliveira, E. A. e Tedesco, P. (2009) “i-Collaboration in Practice: Results from our Investigation within the Cleverpal Environment”. Proceedings of IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS), pp. 347-351.
Piaget, J. and Inhelder, B. (1969) The Psychology Of The Child. Basic Books.
Protégé. (2017) The Ontology Editor, [link]
Santos, L. N., Castro, A. N., and Menezes, C. S. (2012) “Flexible Virtual Environments for Teaching and Learning”. 42nd ASEE/IEEE Frontiers in Education Conference Proceedings (FIE), Seattle, WA, USA.
Sarmiento, C., Duarte, O., Barrera, M., and Soto, R. (2016) “Semi-Automated Academic Tutor for the Selection of Learning Paths in a Curriculum: An Ontology-Based Approach”. Proceedings of the 8th International Conference on Engineering Education (ICEED), Selangor, Malaysia.
Soloman, B. A., Felder, R. M. (2017) Index of Learning Styles Questionnaire, [link]
Tavares, L. O., Menezes, C. S., and Nevado, R. A. (2012) “Pedagogical architectures to support the process of teaching and learning of computer programming”. Proceedings of 42th IEEE Frontiers in Education Conference. Seattle, USA.
Weka (2017) Data Mining Software, [link]
Wing, J. (2006) “Computational Thinking”. Communications of the ACM, 3 ed.:33-35.
Publicado
30/10/2017
Como Citar
BREMGARTNER, Vitor; NETTO, José Francisco M.; MENEZES, Crediné.
Agent-Based Conceptual Framework for Collaborative Educational Resources Adaptation in Virtual Learning Environments. In: SIMPÓSIO BRASILEIRO DE INFORMÁTICA NA EDUCAÇÃO (SBIE), 28. , 2017, Recife/PE.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2017
.
p. 1087-1096.
DOI: https://doi.org/10.5753/cbie.sbie.2017.1087.
