Instructional Design to Foster Computational Thinking Using Educational Robotics

2022 ◽  
pp. 60-78
Author(s):  
Alejandro Trujillo Castro ◽  
Magally Martínez Reyes ◽  
Anabelem Soberanes-Martín
Keyword(s):  
Instructional Design ◽  
Educational Intervention ◽  
Research Methodology ◽  
Teaching And Learning ◽  
Computational Thinking ◽  
Educational Robotics ◽  
Design Based Research ◽  
Addie Model ◽  
Education In Mexico ◽  
Practice Skills

The way of approaching the difficulties in technological areas is opening potentialities for teaching and learning, considering the competences as actions that put into practice skills to solve problems. A clear example is the computational thinking that proposes a way of thinking and facing different challenges. Through the design-based research methodology and the ADDIE model, an instructional design is proposed to carry out activities using educational robotics, analyzing its impact on skills related to computational thinking. An educational intervention is carried out with students from 13 to 15 years old from the three grades of secondary education in Mexico. It was established that the student's reaction to a challenge is: a) Due to lack of confidence in his or her own abilities, it is difficult for him or her to face the problem. b) Knowledge of computer thinking allows him or her to think of a strategy to try to solve it. The results suggest that those who have notions about computer thinking have more facility to think and face the different challenges.

Instructional Design to Foster Computational Thinking Using Educational Robotics

2021 ◽  
pp. 164-182
Author(s):  
Alejandro Trujillo Castro ◽  
Magally Martínez Reyes ◽  
Anabelem Soberanes-Martín
Keyword(s):  
Instructional Design ◽  
Educational Intervention ◽  
Research Methodology ◽  
Teaching And Learning ◽  
Computational Thinking ◽  
Educational Robotics ◽  
Design Based Research ◽  
Addie Model ◽  
Education In Mexico ◽  
Practice Skills

The way of approaching the difficulties in technological areas is opening potentialities for teaching and learning, considering the competences as actions that put into practice skills to solve problems. A clear example is the computational thinking that proposes a way of thinking and facing different challenges. Through the design-based research methodology and the ADDIE model, an instructional design is proposed to carry out activities using educational robotics, analyzing its impact on skills related to computational thinking. An educational intervention is carried out with students from 13 to 15 years old from the three grades of secondary education in Mexico. It was established that the student's reaction to a challenge is: a) Due to lack of confidence in his or her own abilities, it is difficult for him or her to face the problem. b) Knowledge of computer thinking allows him or her to think of a strategy to try to solve it. The results suggest that those who have notions about computer thinking have more facility to think and face the different challenges.

Improving Learning Outcomes for Higher Education Through Smart Technology

2018 ◽  
Vol 6 (1) ◽  
pp. 1-17 ◽  
Author(s):  
James O. Connelly ◽  
Paula Miller
Keyword(s):  
Instructional Design ◽  
Teaching And Learning ◽  
Information Overload ◽  
Learning Material ◽  
Classical Guitar ◽  
Smart Technology ◽  
Face To Face ◽  
Communication Devices ◽  
Addie Model ◽  
Conditions Of Learning

The ever-decreasing time between the doubling of knowledge creates a problem for education concerning how to handle information overload. To address this issue, educators must learn to make learning more effective and more efficient. Currently, there is more to learn and less time in which to learn. Therefore, Smart technology offers a solution: It helps manage cognitive load through the formation of a schema, which helps humans learn more with greater efficiency and greater effectiveness. This can be accomplished by instructional design that makes use of Gagné's conditions of learning and the nine instructional events based on them. These can be brought together through the ADDIE instructional design model. This process is amplified by using Smart instructional technology to create the learning material and to deliver it to the learner. The educational venues for learning include face to face, online, or mobile communication devices. Examples are provided about the conditions of learning, nine instructional events, and the ADDIE Model, which are applied to classical guitar instruction. Further, the elements of Smart technology are presented as a resource for teaching and learning.

scholarly journals The Development of Computational Thinking in Student Teachers through an Intervention with Educational Robotics

10.28945/4442 ◽  
2019 ◽  
Vol 18 ◽  
pp. 139-152 ◽  
Author(s):  
Francesc M Esteve-Mon ◽  
Jordi Adell-Segura ◽  
María Ángeles Llopis Nebot ◽  
Gracia Valdeolivas Novella ◽  
Julio Pacheco Aparicio
Keyword(s):  
Student Teachers ◽  
Computational Thinking ◽  
Male Students ◽  
Future Research ◽  
Educational Robotics ◽  
Digital Competence ◽  
Design Based Research ◽  
Teaching Competence ◽  
Educational Robots ◽  
And Robotics

Aim/Purpose: This research aims to describe and demonstrate the results of an intervention through educational robotics to improve the computational thinking of student teachers. Background: Educational robotics has been increasing in school classrooms for the development of computational thinking and digital competence. However, there is a lack of research on how to prepare future teachers of Kindergarten and Elementary School in the didactic use of computational thinking, as part of their necessary digital teaching competence. Methodology: Following the Design-Based Research methodology, we designed an intervention with educational robots that includes unplugged, playing, making and remixing activities. Participating in this study were 114 Spanish university students of education. Contribution: This research helps to improve the initial training of student teachers, especially in the field of educational robotics. Findings: The student teachers consider themselves digital competent, especially in the dimensions related to social and multimedia aspects, and to a lesser extent in the technological dimension. The results obtained also confirm the effectiveness of the intervention through educational robotics in the development of computational thinking of these students, especially among male students. Recommendations for Practitioners: Teacher trainers could introduce robotics following these steps: (1) initiation and unplugged activities, (2) gamified activities of initiation to the programming and test of the robots, (3) initiation activities to Scratch, and (4) design and resolution of a challenge. Recommendation for Researchers: Researchers could examine how interventions with educational robots helps to improve the computational thinking of student teachers, and thoroughly analyze gender-differences. Impact on Society: Computational thinking and robotics are one of the emerging educational trends. Despite the rise of this issue, there are still few investigations that systematize and collect evidence in this regard. This study allows to visualize an educational intervention that favors the development of the computational thinking of student teachers. Future Research: Researchers could evaluate not only the computational thinking of student teachers, but also their didactics, their ability to teach or create didactic activities to develop computational thinking in their future students.

Synergizing Product Design Information and Unit Manufacturing Process Analysis to Support Sustainable Engineering Education

2018 ◽  
Vol 141 (2) ◽  
Author(s):  
Kamyar Raoufi ◽  
Sriram Manoharan ◽  
Karl R. Haapala
Keyword(s):  
Instructional Design ◽  
Product Design ◽  
Engineering Students ◽  
Raw Materials ◽  
Process Analysis ◽  
Sustainable Manufacturing ◽  
Educational Training ◽  
Design Changes ◽  
Addie Model ◽  
Design Case Study

Promoting excellence in sustainable manufacturing has emerged as a strategic mission in academia and industry. In particular, universities must prepare the next generation of engineers to contribute to the task of sustaining and improving manufacturing by providing appropriate types of sustainability education and training. However, engineering curricula are challenged in delivering educational training for assessing technical solutions from the three domains that define sustainability: economic, environmental, and social. In the research presented here, an educational framework is developed with an aim to improve student understanding of sustainable product design (PD) and manufacturing. The framework is founded on the analyze, design, develop, implement, and evaluate (ADDIE) model for instructional design. The developed framework is demonstrated using an example of a sustainable PD activity. This instructional design case study illustrates how engineering students would be able to investigate the impacts of raw materials, unit manufacturing processes, manufacturing locations, and design changes on product sustainability performance by integrating PD information and manufacturing analysis methods during the PD phase.

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