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Book of Abstracts | 2025 DevPath - Interactive Learning System for Software Engineering Students
SE-A-09
Amit Yushkevitch; amityyu@ac.sce.ac.il Noa Shtiman; noa1262@icloud.com
Advisor: Dr. Hadas Chassidim
SCE - Shamoon College of Engineering, Be’er-Sheva
The DevPath project aims to develop an interactive learning system for software engineering students, focusing on mastering essential industry tools such as Git and Jira, and unit testing and system architecture skills. The system follows an iterative learning approach, enabling students to practice and receive real-time feedback. The main challenge was designing a structured learning process that enhances practical skills and bridges the gap between theory and real-world application. Students perform tasks that mimic real-world scenarios, designed to involve the learner in each step of the process. The system also provides instructors with tools for tracking and evaluating students’ progress, offering personalized guidance. By incorporating artificial intelligence, DevPath adapts learning paths to individual students, making the process efficient and engaging.
Keywords: git, iterative learning, Jira, software engineering, system architecture, unit testing
Intelligent System for Speech Volume Control for Hearing-Impaired Individuals
SE-A-10
Omer Shay; omershay1212@gmail.com
Advisors: Dr. Hadas Chassidim1, Dr. Nir Trabelsi1 1SCE - Shamoon College of Engineering, Be’er-Sheva
Hearing-impaired individuals often struggle to regulate their speaking volume according to their environment. This project proposes an AI-based intelligent system that provides real-time feedback, enabling users to control their voice intensity based on ambient noise levels. Using Microsoft Azure’s speech recognition Application Programming Interface (API), we developed a system that incorporates data collection stages and delivers discreet alerts via a wearable device or smartphone when speech is too loud or too soft. The goal of the system is to boost communication confidence, promote social inclusion, and improve interactions and the quality of life of individuals with hearing impairments. Accordingly, a pilot study is planned to evaluate the system’s effectiveness and user experience.
Keywords: ai, hearing impairment, social, voice control
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