What Can Bits Teach about Leadership: A Study of the Application of Variation Theory in Serious Games. - Martin Ruskov; William Seager (SGDA, 2011)

Eliciting and modelling expertise for serious games in project management. - William Seager; Martin Ruskov; M. Angela Sasse; Manuel Oliveira (Entertain. Comput., 2011)

Dealing with Threshold Concepts in Serious Games for Competence Development. - Stefano Bocconi; Yulia Bachvarova; Martin Ruskov; Manuel Fradinho Duarte de Oliveira (SGDA, 2012)

Towards a Simulation of Information Security Behaviour in Organisations. - Martin Ruskov; Paul Ekblom; M. Angela Sasse (Cyberpatterns, 2014)

Learning When Serious: Psychophysiological Evaluation of a Technology-Enhanced Learning Game. - Ben Cowley; Martino Fantato; Charlene Jennett; Martin Ruskov; Niklas Ravaja (J. Educ. Technol. Soc., 2014)

What is Done is Done: an Incremental Approach to Semantic Shift Detection. - Francesco Periti; Alfio Ferrara; Stefano Montanelli; Martin Ruskov (LChange@ACL, 2022)

Detecting the Semantic Shift of Values in Cultural Heritage Document Collections (short paper). - Alfio Ferrara; Stefano Montanelli; Martin Ruskov (AI4CH@AI*IA, 2022)

Computer-Aided Modelling of the Bilingual Word Indices to the Nineth-Century Uchitel'noe evangelie. - Martin Ruskov; Lora Taseva (TPDL Workshops, 2022)

Getting Users Smart Quick about Security: Results from 90 Minutes of Using a Persuasive Toolkit for Facilitating Information Security Problem Solving by Non-Professionals. - Martin Ruskov; Paul Ekblom; M. Angela Sasse (CoRR, 2022)

Computer-Aided Modelling of the Bilingual Word Indices to the Ninth-Century Uchitel'noe evangelie. - Martin Ruskov; Lora Taseva (CoRR, 2022)

Who and How: Using Sentence-Level NLP to Evaluate Idea Completeness. - Martin Ruskov (AIED (Posters/Late Breaking Results/...), 2023)

A Knowledge Graph of Values across Space and Time (full paper). - Martin Ruskov; Maria Dagioglou; Marko Kokol; Stefano Montanelli; Georgios Petasis (IAI4CH@AI*IA, 2023)

Learning to Prompt in the Classroom to Understand AI Limits: A Pilot Study. - Emily Theophilou; Cansu Koyuturk; Mona Yavari; Sathya Bursic; Gregor Donabauer; Alessia Telari; Alessia Testa; Raffaele Boiano; Davinia Hernández Leo; Martin Ruskov; Davide Taibi 002; Alessandro Gabbiadini; et al. (AI*IA, 2023)

Towards a Phenomenographic Framework for Exploratory Visual Analysis of Bibliographic Data. - Martin Ruskov; Sara Sullam (CHR, 2023)

Who Should Do It? Automatic Identification of Responsible Stakeholder in Writings During Training. - Martin Ruskov (ICALT, 2023)

Developing Effective Educational Chatbots with ChatGPT prompts: Insights from Preliminary Tests in a Case Study on Social Media Literacy. - Cansu Koyuturk; Mona Yavari; Emily Theophilou; Sathya Bursic; Gregor Donabauer; Alessia Telari; Alessia Testa; Raffaele Boiano; Alessandro Gabbiadini; Davinia Hernández-Leo; Martin Ruskov; Dimitri Ognibene (ICCE, 2023)

A Systematic Literature Review of Online Collaborative Story Writing. - Stefano Montanelli; Martin Ruskov (INTERACT (3), 2023)

Grimm in Wonderland: Prompt Engineering with Midjourney to Illustrate Fairytales. - Martin Ruskov (IRCDL, 2023)

The VAST Collaborative Multimodal Annotation Platform: Annotating Values. - Georgios Petasis; Martin Ruskov; Anna Gradou; Marko Kokol (WorldCIST (4), 2023)

How BERT Speaks Shakespearean English? Evaluating Historical Bias in Masked Language Models (short paper). - Miriam Cuscito; Alfio Ferrara; Martin Ruskov (IAI4CH@AI*IA, 2024)

Engaging Users in Writing Imaginary Conversations on Cultural Heritage Paintings. - Stefano Montanelli; Francesco Saverio Mula; Martin Ruskov (AVICH@AVI, 2024)

Canvas Conversation Tales: A Web Application for Collaboratively Writing Imaginary Dialogues. - Stefano Montanelli; Francesco Saverio Mula; Martin Ruskov (CoG, 2024)

How BERT Speaks Shakespearean English? Evaluating Historical Bias in Contextual Language Models. - Miriam Cuscito; Alfio Ferrara; Martin Ruskov (CoRR, 2024)

Values That Are Explicitly Present in Fairy Tales: Comparing Samples from German, Italian and Portuguese Traditions. - Alba Morollon Diaz-Faes; Carla Sofia Ribeiro Murteira; Martin Ruskov (J. Data Min. Digit. Humanit., 2024)

Understanding Learner-LLM Chatbot Interactions and the Impact of Prompting Guidelines. - Cansu Koyuturk; Emily Theophilou; Sabrina Patania; Gregor Donabauer; Andrea Martinenghi; Chiara Antico; Alessia Telari; Alessia Testa; Sathya Bursic; Franca Garzotto; Davinia Hernández Leo; Udo Kruschwitz; et al. (AIED (2), 2025)

Quotes at the Fingertips: The BogoSlov Project's Combined Approach towards Identification of Biblical Material in Old Church Slavonic Texts. - Martin Ruskov; Tomas Mikulka; Irina Podtergera; Maxim Gavrilkov; Walker Thompson (IRCDL, 2025)

Building an Archive of ELT Materials Used in the 20th Century in Italy: Preliminary Observations. - Martin Ruskov; Emanuela Tenca (IRCDL, 2025)

Use Me Wisely: AI-Driven Assessment for LLM Prompting Skills Development. - Dimitri Ognibene; Gregor Donabauer; Emily Theophilou; Cansu Koyuturk; Mona Yavari; Sathya Bursic; Alessia Telari; Alessia Testa; Raffaele Boiano; Davide Taibi 002; Davinia Hernández Leo; Udo Kruschwitz; et al. (CoRR, 2025)

Our Coding Adventure: Using LLMs to Personalise the Narrative of a Tangible Programming Robot for Preschoolers. - Martin Ruskov (CoRR, 2025)