TY - CHAP
T1 - Towards Personalized Learning Paths to Empower Competence Development in Model Driven Engineering Through the ENCORE Platform
AU - Bucchiarone, Antonio
AU - Vazquez-Ingelmo, Andrea
AU - Schiavo, Gianluca
AU - Barandoni, Simone
AU - Garcia-Holgado, Alicia
AU - Garcia-Penalvo, Francisco Jose
AU - Mosser, Sebastien
AU - Pierantonio, Alfonso
AU - Zschaler, Steffen
AU - Barnett, William
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Developing engaging learning experiences is costly and complicated. Open Educational Resources (OERs) offer the possibility of reuse, creating opportunities for more efficient and effective development of learning, including the potential for truly personalised learning through adaptive learning management platforms. To make this a reality, we need to address two challenges: (1) for OERs to become effective there need to be tools that allow them to be reused efficiently from high-level designs of learning experiences, and (2) for such high-level tools to work, we need to establish a robust infrastructure that treats OERs as components, akin to software components, complete with well-defined interfaces. The latter is particularly challenging for learning resources on MDE, because of the often complex tool environments required. In this paper, we propose a platform for personalized learning design based on OERs and provide initial insights into component formats within the context of teaching about model-driven engineering.
AB - Developing engaging learning experiences is costly and complicated. Open Educational Resources (OERs) offer the possibility of reuse, creating opportunities for more efficient and effective development of learning, including the potential for truly personalised learning through adaptive learning management platforms. To make this a reality, we need to address two challenges: (1) for OERs to become effective there need to be tools that allow them to be reused efficiently from high-level designs of learning experiences, and (2) for such high-level tools to work, we need to establish a robust infrastructure that treats OERs as components, akin to software components, complete with well-defined interfaces. The latter is particularly challenging for learning resources on MDE, because of the often complex tool environments required. In this paper, we propose a platform for personalized learning design based on OERs and provide initial insights into component formats within the context of teaching about model-driven engineering.
KW - Model-driven engineering
KW - Open Educational Resources (OERs)
KW - Personalized learning management platform
UR - http://www.scopus.com/inward/record.url?scp=85182392991&partnerID=8YFLogxK
U2 - 10.1109/MODELS-C59198.2023.00036
DO - 10.1109/MODELS-C59198.2023.00036
M3 - Conference paper
AN - SCOPUS:85182392991
T3 - Proceedings - 2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion, MODELS-C 2023
SP - 122
EP - 129
BT - Proceedings - 2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion, MODELS-C 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, MODELS-C 2023
Y2 - 1 October 2023 through 6 October 2023
ER -
