PWCT: a novel general-purpose visual programming language in support of pervasive application development

Fayed, Mahmoud S.; Al‐Qurishi, Muhammad; Alamri, Atif; Hossain, M. Shamim; Al-Daraiseh, Ahmad

doi:10.1007/s42486-020-00038-y

Cited by 5 publications

(2 citation statements)

References 23 publications

(14 reference statements)

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“…Visual programming refers to approaches and methods that use two-dimensional graphical elements, through which students without programming skills can create, extend, and customize software applications [37]. Visual programming languages are described by constructors and programming rules that are represented visually and, according to recent studies [30] and [38], are classified as follows: (i) Block-based languages (e.g. Scratch, App Inventor, Puzzle, etc.…”

Section: A Visual Programmingmentioning

confidence: 99%

A Case Study on Learning Visual Programming With TutoApp for Composition of Tutorials: An Approach for Learning by Teaching

Velasco

Lozano-Osorio

Marín

et al. 2024

IEEE Trans. Learning Technol.

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Teaching programming is a topic that has generated a high level of interest among researchers in recent decades. In particular, multiple approaches to teaching visual programming have been explored, from the use of tools such as Scratch, robots, unplugged programming or activities for the development of computational thinking. Despite the wide range of resources used, students generally tend to perform poorly academically and perceive learning visual programming as a complex and demotivating task.In this article, the TutoApp system is proposed together with a new methodology based on "Learning by Teaching", where students create tutorials in their mobile devices to explain programming concepts to their peers. The hypothesis of this paper is that the use of this tool improves learning outcomes and the level of student satisfaction. An experiment with a pre-posttest design has been carried out with 57 university students in an introductory programming course, 30 belonging to a control group (did not use TutoApp) and 27 belonging to the experimental group (used TutoApp). The findings indicate that the creation of tutorials with TutoApp significantly improved students' academic performance over those who did not use it, specifically in learning the loops and conditional control structures. However, it was observed that anxiety increased in all students while learning visual programming.The results of this study open the door to the validation of the use of systems and methodologies for creating tutorials for teaching visual programming to university students.

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Section: A Visual Programmingmentioning

confidence: 99%

A Case Study on Learning Visual Programming With TutoApp for Composition of Tutorials: An Approach for Learning by Teaching

Velasco

Lozano-Osorio

Marín

et al. 2024

IEEE Trans. Learning Technol.

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“…These processes were automated using programming scripts written in the Ring programming language [21]. These scripts were generated using the Programming Without Coding Technology (PWCT) software, which is a free/open-source visual programming language for the development of applications and systems [22]. We selected Ring because of its powerful GUI tools in addition to its capabilities, which are comparable to those of Python and Ruby [23].…”

Section: Machine Learning Modelmentioning

confidence: 99%

Machine Learning and Cochlear Implantation: Predicting the Post-Operative Electrode Impedances

Al-Ohali

Fayed

Abdelsamad³

et al. 2023

Electronics

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Cochlear implantation is the common treatment for severe to profound sensorineural hearing loss if there is no benefit from hearing aids. Measuring the electrode impedance along the electrode array at different time points after surgery is crucial in verifying the electrodes’ status, determining the compliance levels, and helping to identify the electric dynamic range. Increased impedance values without proper reprogramming can affect the patient’s performance. The prediction of acceptable levels of electrode impedance at different time points after the surgery could help clinicians during the fitting sessions through a comparison of the predicted with the measured levels. Accordingly, clinicians can decide if the measured levels are within the predicted normal range or not. In this work, we used a dataset of 80 pediatric patients who had received cochlear implants with the MED-EL FLEX 28 electrode array. We predicted the impedance of the electrode arrays in each channel at different time points: at one month, three months, six months, and one year after the date of surgery. We used different machine learning algorithms such as linear regression, Bayesian linear regression, decision forest regression, boosted decision tree regression, and neural networks. The used features include the patient’s age and the intra-operative electrode impedance at different electrodes. Our results indicated that the best algorithm varies depending on the channel, while the Bayesian linear regression and neural networks provide the best results for 75% of the channels. Furthermore, the accuracy level ranges between 83% and 100% in half of the channels one year after the surgery, when an error range between 0 and 3 KΩ is defined as an acceptable threshold. Moreover, the use of the patient’s age alone can provide the best prediction results for 50% of the channels at six months or one year after surgery. This reflects that the patient’s age could be a predictor of the electrode impedance after the surgery.

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Design Considerations for a Multi-user General-purpose Flow-based Visual Programming Environment

Brandstätter,

Schenkenfelder,

Hohensinger

et al. 2024

Proceedings of the 2024 International Conference on Advanced Visual Interfaces

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PWCT: a novel general-purpose visual programming language in support of pervasive application development

Cited by 5 publications

References 23 publications

A Case Study on Learning Visual Programming With TutoApp for Composition of Tutorials: An Approach for Learning by Teaching

A Case Study on Learning Visual Programming With TutoApp for Composition of Tutorials: An Approach for Learning by Teaching

Machine Learning and Cochlear Implantation: Predicting the Post-Operative Electrode Impedances

Design Considerations for a Multi-user General-purpose Flow-based Visual Programming Environment

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