Technology-Enhanced Support for Learning Conceptual Modeling. - Gayane Sedrakyan; Monique Snoeck (BMMDS/EMMSAD, 2012)

Feedback-Enabled MDA-Prototyping Effects on Modeling Knowledge. - Gayane Sedrakyan; Monique Snoeck (BMMDS/EMMSAD, 2013)

A PIM-to-Code Requirements Engineering Framework. - Gayane Sedrakyan; Monique Snoeck (MODELSWARD, 2013)

Lightweight Semantic Prototyper for Conceptual Modeling. - Gayane Sedrakyan; Monique Snoeck (ER Workshops, 2014)

Do We Need to Teach Testing Skills in the Courses for Requirements Engineering? - Gayane Sedrakyan; Monique Snoeck (REET, 2014)

Assessing the effectiveness of feedback enabled simulation in teaching conceptual modeling. - Gayane Sedrakyan; Monique Snoeck; Stephan Poelmans (Comput. Educ., 2014)

Process mining analysis of conceptual modeling behavior of novices - empirical study using JMermaid modeling and experimental logging environment. - Gayane Sedrakyan; Monique Snoeck; Jochen De Weerdt (Comput. Hum. Behav., 2014)

Effects of Simulation on Novices' Understanding of the Concept of Inheritance in Conceptual Modeling. - Gayane Sedrakyan; Monique Snoeck (ER Workshops, 2015)

Generating User Interface from Conceptual, Presentation and User models with JMermaid in a learning approach. - Jenny Ruiz; Gayane Sedrakyan; Monique Snoeck (Interacción, 2015)

Enriching Model Execution with Feedback to Support Testing of Semantic Conformance between Models and Requirements - Design and Evaluation of Feedback Automation Architecture. - Gayane Sedrakyan; Monique Snoeck (AMARETTO@MODELSWARD, 2016)

Cognitive Feedback and Behavioral Feedforward Automation Perspectives for Modeling and Validation in a Learning Context. - Gayane Sedrakyan; Monique Snoeck (MODELSWARD (Revised Selected Papers), 2016)

Automating immediate and personalized feedback taking conceptual modelling education to a next level. - Estefanía Serral; Jochen De Weerdt; Gayane Sedrakyan; Monique Snoeck (RCIS, 2016)

Process-mining enabled feedback: "Tell me what I did wrong" vs. "tell me how to do it right". - Gayane Sedrakyan; Jochen De Weerdt; Monique Snoeck (Comput. Hum. Behav., 2016)

Evaluating Student-Facing Learning Dashboards of Affective States. - Gayane Sedrakyan; Derick Leony; Pedro J. Muñoz Merino; Carlos Delgado Kloos; Katrien Verbert (EC-TEL, 2017)

Assessing the influence of feedback-inclusive rapid prototyping on understanding the semantics of parallel UML statecharts by novice modellers. - Gayane Sedrakyan; Stephan Poelmans; Monique Snoeck (Inf. Softw. Technol., 2017)

Supporting Sustainable Publishing and Consuming of Live Linked Time Series Streams. - Julián Andrés Rojas Meléndez; Gayane Sedrakyan; Pieter Colpaert; Miel Vander Sande; Ruben Verborgh (ESWC (Satellite Events), 2018)

Data Harvesting, Curation and Fusion Model to Support Public Service Recommendations for e-Governments. - Gayane Sedrakyan; Laurens De Vocht; Juncal Alonso; Marisa Escalante; Leire Orue-Echevarria; Erik Mannens (MODELSWARD, 2018)

IntersectionExplorer, a multi-perspective approach for exploring recommendations. - Bruno De Lemos Ribeiro Pinto Cardoso; Gayane Sedrakyan; Francisco Gutiérrez; Denis Parra; Peter Brusilovsky; Katrien Verbert (Int. J. Hum. Comput. Stud., 2019)

Guiding the choice of learning dashboard visualizations: Linking dashboard design and data visualization concepts. - Gayane Sedrakyan; Erik Mannens; Katrien Verbert (J. Comput. Lang., 2019)

Measuring Learning Progress for Serving Immediate Feedback Needs: Learning Process Quantification Framework (LPQF). - Gayane Sedrakyan; Sebastian Dennerlein; Viktoria Pammer-Schindler; Stefanie N. Lindstaedt (EC-TEL, 2020)

Linking learning behavior analytics and learning science concepts: Designing a learning analytics dashboard for feedback to support learning regulation. - Gayane Sedrakyan; Jonna Malmberg; Katrien Verbert; Sanna Järvelä; Paul A. Kirschner (Comput. Hum. Behav., 2020)

Text-To-Model (TeToMo) Transformation Framework to Support Requirements Analysis and Modeling. - Gayane Sedrakyan; Asad Abdi; Stéphanie M. van den Berg; Bernard P. Veldkamp; Jos van Hillegersberg (MODELSWARD, 2022)

Design Implications Towards Human-Centric Semantic Recommenders for Sustainable Food Consumption. - Gayane Sedrakyan; Anand K. Gavai; Jos van Hillegersberg (ER (Workshops), 2023)

Students feedback analysis model using deep learning-based method and linguistic knowledge for intelligent educational systems. - Asad Abdi; Gayane Sedrakyan; Bernard P. Veldkamp; Jos van Hillegersberg; Stéphanie M. van den Berg (Soft Comput., 2023)

Towards LowDevSecOps Framework for Low-Code Development: Integrating Process-Oriented Recommendations for Security Risk Management. - Gayane Sedrakyan; Maria-Eugenia Iacob; Jos van Hillegersberg (MoDELS (Companion), 2024)

Reinventing Low-Code: Value-Driven and Learning-Oriented Low-Code Development with SLLM-Integrated Approach. - Gayane Sedrakyan; Stephan Braams; Cosmin Ghiauru; Anton Tsankov; Stijn Schuurman; Matthijs Jansen op de Haar; Valeri Andreev; Jos van Hillegersberg (MODELSWARD, 2025)

The Role and Applications of Semantic Interoperability Tools and eXplainable AI in the Development of Smart Food Systems: Findings from a Systematic Literature Review. - Donika Xhani; Gayane Sedrakyan; Anand K. Gavai; Renata Guizzardi; Jos van Hillegersberg (Intell. Syst. Appl., 2025)