Designing and Generating Lesson Plans combining Open Educational Content and Generative AI

In this paper, we propose an approach for assisting educators in deriving lesson plans for complex learning subjects like Model-Driven Engineering (MDE) from existing educational materials, leveraging generative AI techniques. Our method focuses on guiding teachers in defining learning objectives and suggesting concrete learning activities for students. Central to our approach is the development of a metamodel that characterizes the methodology and serves as the foundation for implementing supporting tools. By utilizing available Open Educational Resources (OERs) and incorporating them into specific learning activities, our method provides a general framework for supporting educators in designing lesson plans. We present the methodology to generate lesson plans, the metamodel conceptualizing plans ingredients, and demonstrate their application through supporting tools, illustrating the potential of our approach in facilitating the development of MDE teaching materials.

Authors

Institutions

Publication Details

Published
2024-09-22
DOI
https://doi.org/10.1145/3652620.3687773
Citations
3
Primary Topic
Open Education and E-Learning
Type
article
Field-Weighted Citation Impact
1.24

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Designing and Generating Lesson Plans combining Open Educational Content and Generative AI

Alicia García‐Holgado, Antonio Bucchiarone, Andrea Vázquez‐Ingelmo, Antonio Cicchetti et al.
3 citations
Open Education and E-Learning
1.24
article

Designing and Generating Lesson Plans combining Open Educational Content and Generative AI

Alicia García‐Holgado, Antonio Bucchiarone, Andrea Vázquez‐Ingelmo, Antonio Cicchetti, Francisco José García‐Peñalvo, Gianluca Schiavo, F. Adami
article en
3 citations

Abstract

In this paper, we propose an approach for assisting educators in deriving lesson plans for complex learning subjects like Model-Driven Engineering (MDE) from existing educational materials, leveraging generative AI techniques. Our method focuses on guiding teachers in defining learning objectives and suggesting concrete learning activities for students. Central to our approach is the development of a metamodel that characterizes the methodology and serves as the foundation for implementing supporting tools. By utilizing available Open Educational Resources (OERs) and incorporating them into specific learning activities, our method provides a general framework for supporting educators in designing lesson plans. We present the methodology to generate lesson plans, the metamodel conceptualizing plans ingredients, and demonstrate their application through supporting tools, illustrating the potential of our approach in facilitating the development of MDE teaching materials.

Universidad de Salamanca (ES), University of Trento (IT), Fondazione Bruno Kessler (IT), Mälardalen University (SE)
Erasmus+
Quality Education
Openalex Percentile: Top 14%
Open Education and E-Learning
1.24
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Designing and Generating Lesson Plans combining Open Educational Content and Generative AI — Alicia García‐Holgado, Antonio Bucchiarone, et al. · (2024) | TGRS Research Map | TGRS