Web Based Robotic Simulator for Tactode Tangible Block Programming System

Alves, Márcia; Sousa, Armando; Cardoso, Ângela

doi:10.1007/978-3-030-35990-4_40

Cited by 7 publications

(6 citation statements)

References 15 publications

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“…Má rcia Alves et al [10] proposed a tangible block programming system which is referred to as Tactode. Tactode can create a puzzle with tangible pieces, take a photo and upload it in the app.…”

Section: Related Workmentioning

confidence: 99%

Tactile Scratch Electronic Block System: Expanding Opportunities for Younger Children to Learn Programming

Jo¹,

Chun

Ryoo³

2021

IJIET

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This paper introduces our work on the development of a novel system for applying MIT’s Scratch to teaching classes of four to eight-years-old students. Scratch is a visual, block-based programming language designed for anybody to create a computer program without the worry of syntax errors by assembling icon-like command blocks. However, four to eight-year-old students have trouble using a computer mouse or keyboard and face difficulties when trying Scratch programming. This research developed a tactile, electronic block system that allows students to manipulate physical objects in a tangible way to conduct their programming tasks. The system consists of a Scratch simulator and physical, electronic blocks embodying the Scratch user interface shapes. We taught programming to the classes of second-grade elementary school students (eight-years-old) using our system. The results are encouraging. Our subjects’ interest in programming improved from 3.23 to 4.0 out of the scale of 5, and fifteen students out of twenty five were able to solve nine questions on sequence, loop, and control structure successfully, which are fundamental concepts of programming.

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Section: Related Workmentioning

confidence: 99%

Tactile Scratch Electronic Block System: Expanding Opportunities for Younger Children to Learn Programming

Jo¹,

Chun

Ryoo³

2021

IJIET

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“…Block-based environments provide a block-based editor, but, we identified that some tools also support a hybrid editor (text and blocks), which means that it is possible to interact with the underlying language either through a blocks editor or text-based editor. Based on this, 69 of the studied tools support a block editor only, while 15 support both blocks and text editor [6,7,12,15,18,20,22,34,40,62,76,77,90,143,164]. The remaining ten tools do not mention it at all.…”

Section: Rq1mentioning

confidence: 99%

“…[83] 4 App inventor Teach mathematical concepts in primary school. Tactode [7] -Teach math and technology concepts to children. Sonification Blocks [11] Blockly Learn data sonification.…”

Section: MMM [129]mentioning

confidence: 99%

DRAFT-What you always wanted to know but could not find about block-based environments

Merino,

Vinju,

Brand

2021

Preprint

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Block-based environments are visual programming environments, which are becoming more and more popular because of their ease of use. The ease of use comes thanks to their intuitive graphical representation and structural metaphors (jigsaw-like puzzles) to display valid combinations of language constructs to the users. Part of the current popularity of block-based environments is thanks to Scratch.As a result they are often associated with tools for children or young learners. However, it is unclear how these types of programming environments are developed and used in general. So we conducted a systematic literature review on block-based environments by studying 152 papers published between 2014 and 2020, and a non-systematic tool review of 32 block-based environments. In particular, we provide a helpful inventory of block-based editors for end-users on different topics and domains. Likewise, we focused on identifying the main components of block-based environments, how they are engineered, and how they are used. This survey should be equally helpful for language engineering researchers and language engineers alike. CCS Concepts: • General and reference → Surveys and overviews; • Software and its engineering → Graphical user interface languages; Visual languages; Integrated and visual development environments.

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“…Tactode [ 1 , 2 , 3 , 4 ] is a tangible programming system whose name comes from “tactile coding”. The main goal of Tactode is to bring robotics and programming closer to children in a more interactive and understandable way, while developing their programming skills and computational thinking [ 5 ]. This system is made up of a web application, tangible tiles, a simulator and a real robot.…”

Section: Introductionmentioning

confidence: 99%

“…This system is made up of a web application, tangible tiles, a simulator and a real robot. This way, the children create a code using the tiles, take a photograph of it and upload it to the web application, where they can test the tangible code with the simulator, to be further executed on a real robot [ 5 ]. Figure 1 shows an example of a Tactode code that draws a regular polygon and that can be interpreted as the following: after receiving a flag signal, the robot asks the user about the number of sides the polygon must have; when the user answers the question, the pen goes down to the correct position for drawing, and after, the robot enters a cycle where it goes forward and then turns right, drawing the sides of the polygon—this is repeated an amount of times that corresponds to the number of sides answered by the user; after completion of the drawing, the pen returns to the original position.…”

Section: Introductionmentioning

confidence: 99%

A Comparative Analysis for 2D Object Recognition: A Case Study with Tactode Puzzle-Like Tiles

2021

Self Cite

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Object recognition represents the ability of a system to identify objects, humans or animals in images. Within this domain, this work presents a comparative analysis among different classification methods aiming at Tactode tile recognition. The covered methods include: (i) machine learning with HOG and SVM; (ii) deep learning with CNNs such as VGG16, VGG19, ResNet152, MobileNetV2, SSD and YOLOv4; (iii) matching of handcrafted features with SIFT, SURF, BRISK and ORB; and (iv) template matching. A dataset was created to train learning-based methods (i and ii), and with respect to the other methods (iii and iv), a template dataset was used. To evaluate the performance of the recognition methods, two test datasets were built: tactode_small and tactode_big, which consisted of 288 and 12,000 images, holding 2784 and 96,000 regions of interest for classification, respectively. SSD and YOLOv4 were the worst methods for their domain, whereas ResNet152 and MobileNetV2 showed that they were strong recognition methods. SURF, ORB and BRISK demonstrated great recognition performance, while SIFT was the worst of this type of method. The methods based on template matching attained reasonable recognition results, falling behind most other methods. The top three methods of this study were: VGG16 with an accuracy of 99.96% and 99.95% for tactode_small and tactode_big, respectively; VGG19 with an accuracy of 99.96% and 99.68% for the same datasets; and HOG and SVM, which reached an accuracy of 99.93% for tactode_small and 99.86% for tactode_big, while at the same time presenting average execution times of 0.323 s and 0.232 s on the respective datasets, being the fastest method overall. This work demonstrated that VGG16 was the best choice for this case study, since it minimised the misclassifications for both test datasets.

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Web Based Robotic Simulator for Tactode Tangible Block Programming System

Cited by 7 publications

References 15 publications

Tactile Scratch Electronic Block System: Expanding Opportunities for Younger Children to Learn Programming

Tactile Scratch Electronic Block System: Expanding Opportunities for Younger Children to Learn Programming

DRAFT-What you always wanted to know but could not find about block-based environments

A Comparative Analysis for 2D Object Recognition: A Case Study with Tactode Puzzle-Like Tiles

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