Zilverling

dr. K. Georgiadis (Kostas)

Researcher
EEMCS-CS-DMB
Zilverling 4055
k.georgiadis@utwente.nl
+31534898894
Business card

Dr. Konstantinos Georgiadis is a postdoc researcher at UT with over two decades of progressive expertise in computer science and data analytics. He specializes in leveraging programming, statistics, and machine learning to create innovative solutions in both academic and industry settings. Holding a Ph.D. from the Open University of the Netherlands, his doctoral work culminated in the development of "Smart CAT," a cutting-edge software tool for configurable assessments using machine learning and statistical modeling.

Dr. Georgiadis has contributed significantly to the field of serious games, as evidenced by his work on major projects like the European Commission's Horizon 2020 RAGE Project and the Gamebrics initiative. His professional journey includes roles such as Assistant Professor at the Open University of the Netherlands, where he advanced research and development in learning analytics, and ICT Developer, where he crafted educational games using Java-based engines.

An accomplished academic, he has presented and published extensively on topics like stealth assessment, serious games, and learning analytics. His technical proficiencies encompass a wide array of tools and languages, including C#, Python, SQL, MATLAB, and Power BI. Multilingual and internationally experienced, Dr. Georgiadis is passionate about creating data-driven solutions that enhance education, training, and user engagement.

Beyond his professional pursuits, he is a creative individual with a love for gaming, painting, and history, reflecting his well-rounded personality and dedication to both innovation and the arts.

Organisations

Design and evaluation of surprise effects in simulation – A Framework

I/ITSEC 2014 CONFERENCE (Orlando, Florida, U.S.A.)

Van der Pal J. and Georgiadis K. (2014), “Design and evaluation of surprise effects in simulation – A Framework” (paper no. 14193), Proceedings of the Interservice / Industry Training, Simulation, and Education Conference (I/ITSEC) 2014.

EEG Assessment of Surprise Effects in Serious Games

GALA 2015 CONFERENCE (Rome, Italy)

Georgiadis, K., van Oostendorp, H., & van der Pal, J. (2016). EEG assessment of surprise effects in serious games. In Games and Learning Alliance: 4th International Conference, GALA 2015, Rome, Italy, December 9-11, 2015, Revised Selected Papers 4 (pp. 517-529). Springer International Publishing.

Accommodating Stealth Assessment in Serious Games: Towards Developing a Generic Tool

VS-GAMES 2018 CONFERENCE (Wurzburg, Germany)

Georgiadis, K., van Lankveld, G., Bahreini, K., & Westera, W. (2018, September). Accommodating Stealth Assessment in Serious Games: Towards Developing a Generic Tool. In 2018 10th International Conference on Virtual Worlds and Games for Serious Applications (VS-Games) (pp. 1-4). IEEE.

Learning Analytics should Analyse the Learning: Proposing a Generic Stealth Assessment Tool

COG 2019 CONFERENCE (London, United Kingdom)

Georgiadis, K., van Lankveld, G., Bahreini, K., & Westera, W. (2019, August). Learning analytics should analyse the learning: proposing a generic stealth assessment tool. In 2019 IEEE Conference on Games (CoG) (pp. 1-8). IEEE.

Reinforcing Stealth Assessment in Serious Games

GALA 2019 CONFERENCE (Athens, Greece)

Georgiadis, K., van Lankveld, G., Bahreini, K., & Westera, W. (2019, November). Reinforcing Stealth Assessment in Serious Games. In International Conference on Games and Learning Alliance (pp. 512-521). Springer, Cham.

Bolstering Stealth Assessment in Serious Games

GALA 2019 CONFERENCE (Athens, Greece)

Georgiadis, K., Faber, T., & Westera, W. (2019, November). Bolstering Stealth Assessment in Serious Games. In International Conference on Games and Learning Alliance (pp. 211-220). Springer, Cham.

Artificial intelligence moving serious gaming: Presenting reusable game AI components

Journal of Education and Information Technologies

Westera, W., Prada, R., Mascarenhas, S., Santos, P. A., Dias, J., Guimarães, M., ... & Ruseti, S. (2020). Artificial intelligence moving serious gaming: Presenting reusable game AI components. Education and Information Technologies, 25, 351-380.

On the Robustness of Stealth Assessment

IEEE Transactions on Games

Georgiadis, K., van Lankveld, G., Bahreini, K., & Westera, W. (2020). On the robustness of stealth assessment. IEEE Transactions on Games, 13(2), 180-192.

Gamebrics: Integrating Analytical Rubrics into Serious Games to Teach Analytical Skills

15th International Conference on Computer Supported Education

Huurdeman, H., Hummel, H., Nadolski, R., van Lankveld, G., Georgiadis, K., van den Boomen, J., ... & Slootmaker, A. (2023). Gamebrics: Integrating Analytical Rubrics into Serious Games to Teach Analytical Skills. In CSEDU 2023: 15th International Conference on Computer Supported Education (pp. 403-409). SCITEPRESS-Science and Technology Publications, Lda..

Enhancing Statistics and Methods Education through Serious Games: Teaching Analytical Skills with Junior Scientist and Gamebrics Analytical Rubrics

Journal of Statistics and Data Science Education

Hummel, H. G., Nadolski, R., Huurdeman, H., van Lankveld, G., Georgiadis, K., Slootmaker, A., ... & Fischmann, J. (2024). Gamebrics: Design, implementation and practical evaluation of analytical rubrics in serious game play. Journal of Computer Assisted Learning.

Other contributions

Developing and stimulating competencies: Methodological challenges and opportunities for research.

Extended abstract and poster session at WOG 2021 (Leuven, Belgium)

Smart and Ethical Learning Analytics Using Eye Movement Data for Assessing Reading Comprehension.

8-pages non-paper and online presentation at EARLI 2022 SIG 27 Conference: Online Measures of Learning Processes (Southampton, United Kingdom)

Smart CAT - A Smart Configurable Software Tool for Assessment

ICT Demo at EARLI 2023 SIG 27 Conference: Online Measures of Learning Processes (Thessaloniki, Greece)

Learning Analytics-Supported Learning Design for a Dutch Distance Learning University

ECTEL 2024

Research profiles

Doctor of Philosophy, PhD

Open University of the Netherlands, Heerlen, The Netherlands (01/2016 - 10/2020)

Smart CAT: Machine Learning for Configurable Assessments in Serious Game.

During my PhD I developed a software tool, namely Smart CAT. That is a robust, empirically validated, and usable assessment software tool that relies on the principles of the Stealth Assessment methodology and can be utilized on a large scale for the application of assessments on configurable constructs by using statistical modelling, machine learning algorithms and various statistical methods and techniques. Relevant methods and technologies used: C#, .NET framework, EPPlus, R.NET, Accord.NET, Naïve Bayesian Networks, Decision Trees C4.5, and k-means clustering, linear regression and correlation analysis.

Link: https://github.com/rageappliedgame/Smart-CAT

Computer Science Master's Degree, Game and Media Technology

Utrecht University, Utrecht, The Netherlands (09/2012 - 02/2015)

  • Computer Animation (Maya, MotionBuilder, Photoshop)
  • Computer Vision (OpenCV, C++)
  • Multimodal Interaction (JavaScript, HTML, CSS)
  • Multimedia Retrieval (PHP, HTML, C++, Apache HTTP server)
  • Advanced Graphics (DirectX)
  • Motion and Manipulation oTechnical summary on “Immobility”
  • Small Project (VBS2)
  • Game Physics (Bullet Physics Engine, C++)
  • Capita Selecta (EEGLAB, NeuroSkyLab, NeuroSky’s Mindwave Mobile)
  • Thesis (VBS2, MATLAB R2012a, EEGLAB, NeuroSkyLab, NeuroSky’s Mindwave Mobile)

Thesis Title: Framework for designing and evaluating surprises in simulation.

Creation and implementation of framework for designing surprising events in a serious computer game (VBS2) and assessment of surprise effects using EEG, post-game questionnaires and in-game scores.

Computer Science Bachelor's Degree, Industrial Informatics

Kavala Institute of Technology, Kavala, Greece (10/2001 - 07/2011)

  • Computer Programming (C++)
  • Data bases (PL/SQL, embedded SQL)
  • Microprocessors (Assembly)
  • Dissertation (Matlab R2009b)

Dissertation Title: Software development for face detection in multimedia".

Implementation of three algorithms (Viola-Jones, Rowley and Huang) for face detection in static images, snapshots and real-time video (via web-cam) through a GUI.

Proposed to participate at the annual Industrial Informatics Festival 2010.

RAGE Project (2015 - 2020)

Open University of the Netherlands

This project was a flagship of the European Commission's Horizon2020 program for Serious Games. The goal of the RAGE project was to boost the European games industry from science through the development of intelligent, reusable software that makes it easier, faster and cheaper to develop educational games.

Gamebrics Project (2020 - 2023)

Open University of the Netherlands

The Gamebrics project was part of the open and online education incentive scheme and it touches the theme of 'Activating online learning and testing', because it integrates and evaluates online activating learning (via scenariobased serious games) and online formative testing (via analytical erubrics) in a creative and innovative way within educational practice.

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