INTERNSHIP/THESIS - Create item variants with AI

Domain
Engineer – Software
Market
Education
Location

Izegem, Belgium

Televic develops, manufactures and installs top end high-tech communication systems for specific niche markets. A financially independent and stable group, Televic is divided into divisions that each focus on their specific market: 

Televic Rail: passenger information systems and on-board control systems for trains
Televic Healthcare: communication systems for healthcare
Televic Conference: conference systems for large venues 
Televic Education: multimedia and e-learning solutions for staff training and educational institutions

Televic creates added value for its customers by developing custom-made solutions and by continuously innovating at the cutting edge of technology. With headquarters in Belgium and offices and plants across Europe, Asia and the US, Televic employs over 1000 people worldwide.

About Televic Education

Televic Education is a world leader in the development of research-based solutions that help solve training, quality, certification, accreditation, permanent evaluation and collaboration challenges in many different industries.
The combination of our in-depth knowledge of specific sectors with scientific research has enabled us to create innovative solutions and to build long-term relationships with our clients that range from governments, educational institutions, hospitals as well as corporates. 

Topic Description

AssessmentQ is a digital exam platform developed and maintained by Televic Education. To support content creators in developing diverse and engaging assessments, this internship explores the feasibility of using AI to generate item variants. Variants allow for broader question pools, reducing repetition and improving assessment quality while maintaining fairness and consistency. 

This internship aims to develop a proof-of-concept (PoC) that leverages AI to generate item variants efficiently. The goal is to provide content creators with automated tools to expand question sets based on existing items while ensuring relevance and accuracy. The study will explore different types of variations, including:

  • Mathematical problems with modified variables while maintaining the same difficulty level.
  • Multiple-choice questions with reworded phrasing and alternative distractors.
  • Fill-in-the-gap exercises with similar yet varied base texts.
  • Scenario-based questions adjusted to maintain context while diversifying case details.
  • Make question more difficult or easier

Research Questions:

  • How can AI models generate relevant and high-quality item variants while maintaining assessment integrity? 
  • What techniques ensure that generated variants remain pedagogically sound and unbiased? 
  • How can AI-generated variants be integrated into the content creation workflow of assessmentQ? 
  • What quality assurance mechanisms are required to verify the accuracy and relevance of AI-generated content?

Nature of the work

  • Level: Bachelor, Master
  • AI
  • Type of work: Research 30% - Implementation 30% - Experimentation 40%
  • Location: University and Televic Education (Izegem)
  • Number of students: 1

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