Constructivism-Based Methodology for Teaching Artificial Intelligence Topics Focused on Sustainable Development

Over the last few decades, computer programming has become an important field of endeavor due to rapid development in the information sector. Despite the importance of programming, there is a growing concern that it is relatively difficult. In the process, researchers have started employing media tools to reduce programming difficulties and motivate learners to approach programming problems. One of the common tools widely used is program animation—an instructional medium that incorporates animated characters. However, little is known about the research trends in this field of study. This article, therefore, employed a systematic mapping method to review this trend to find patterns and gaps left in the literature. The study extracted 48 articles published between 2000 and 2022 from four scientific databases (Web of Science, Scopus, ScienceDirect, and ERIC) and three digital libraries (ACM Digital Library, IEEE Xplore Digital Library, and Wiley Online Library). The review discovered important trends. First, there is a paucity of research evidence evaluating program animation in the context of secondary and elementary levels; the majority of the extracted studies focused on participants from tertiary institutions. A similar paucity of research evidence employing mixed methods and qualitative approaches was also noted. Scratch programs were used in recent research more often than other program animations. There is also too little evaluation of psychomotor variables. Finally, there exist inconsistent findings on the effect of program animation although plenty of studies revealed positive results in favor of these media tools. The study therefore recommends that future research should be conducted to fill these identified gaps.

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Research trends on learning computer programming with program animation: A systematic mapping study

Yusuf

Noor

2023

“…Artificial intelligence Constructivism-based methodology for teaching artificial intelligence topics focused on sustainable development [14]. tools in addition to R language, which is helpful in the development of a project.…”

Section: Mechatronicsmentioning

confidence: 99%

Digital signal processing course on Jupyter–Python Notebook for electronics undergraduates

Zúñiga-López

Avilés‐Cruz

2020

The Jupyter–Python Notebook open source is currently used world‐wide as a programming environment for courses and labs. This paper describes an application of a set of Python computer programs implemented in the form of Jupyter notebooks to learn the course of digital signal processing and also seeks to contribute to the development of innovative teaching methodologies. A set of user‐friendly Jupyter notebooks workflows allows teachers–students to teach and learn theoretical concepts, description of problems, computer code, and simulation results with a graphical output. The proposed environment allows teachers/students to code their simulations in Python or Octave simulating languages. Additionally, a new approach involves student‐centered learning to teach theoretical and lab concepts.

“…In , a new teaching method for the AI course is proposed. The course first teaches students theoretical knowledge and then introduces students to practice.…”

Section: Introductionmentioning

confidence: 99%

A teaching method for the theory and application of robot kinematics based on MATLAB and V‐REP

Zhou

Xie

Xuan

et al. 2019

With the continuous development of the world, robots are necessary for achieving high production rates and competitiveness. With an increasing robot demand, many universities offer robotics courses. These courses teach students the mathematical principles of robot‐related algorithms. However, it is difficult for students to apply pure mathematical algorithms in robotics to real robot development in a traditional classroom. This paper's motivation is to present a new robotics teaching method: Algorithm, Virtual experiment, Programming and Controller (AVPC), which shows students the steps of complete robot algorithm development, verification, and application process, taking the kinematics of an educational desktop 6‐DOF robotic arm as a typical teaching case. For the low‐cost educational desktop six‐axis robotic arm, an inverse kinematics algorithm is proposed. The inverse solution algorithm is realized in MATLAB, and then the dynamic model of the desktop robotic arm is established in Virtual Robot Experimentation Platform (V‐REP). The inverse kinematics algorithm in MATLAB is used to control the virtual robot arm movement in V‐REP to the specified position and orientation through the application programming interface (API) interface, thus verifying the correctness of the inverse kinematics algorithm. The inverse algorithm is implemented by using C language function in the microcontroller, and the running time of the algorithm is compared with that of the iterative solution method. In the present study, we investigated the students’ feelings and exam scores of using the new teaching method. The results show that the new teaching method has a significant impact on the improvement of students’ learning effect of robotics.