| C. Troussas, A. Krouska, Ph. Mylonas, C. Sgouropoulou |
| A Rule-based System Integrating Case-Based Reasoning for Adaptive User Interfaces in Personalized Educational Software |
| 10th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM 2025), Patras, Greece, September 19-21, 2025 |
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ABSTRACT
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| This article introduces a personalized learning framework which employs case-based reasoning (CBR) and rule-based logic to facilitate adaptive user interfaces within educational software, designed for Java programming. While there has been progress in adaptive learning, it is limited when effectively combining cognitive theories and personalization strategies to adapt the instructional process with fidelity. Case-based reasoning serves to model human problem-solving through the process of retrieving and reusing solutions of prior similar cases. Rule-based logic can apply structured pedagogical rules that shape the cue to initiate the adaptation. Our framework consists of three components, each serving an important purpose in the cycle of interpersonal interactions that occur in educational settings. The Case Retrieval Module (CRM) identifies and selects a similar case from a prior learner interaction. The Rule-Based Inference Engine (RIE) identifies an appropriate option for adaptation in response to the prior case. Lastly, the Adaptive UI Controller (AUIC), executes the adaptations onto the user interface in real time. Real-time adaptations may include task difficulty, the provision of hints, or structure content presented based on the assessed proficiency of the learner. For more proficient learners, the task may be complex and hints omitted, while the adaptation might provide mediating support for novices. The evaluation of the prototype showed improved learner engagement, reduction in errors, and positive learning outcomes. The study highlights the role of cognitively grounded adaptations within an interactive learning environment and introduces a transparent and modular framework that extends prior case-based and rule-driven educational systems with real-time, interface-level personalization.
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| 19 September, 2025 |
| C. Troussas, A. Krouska, Ph. Mylonas, C. Sgouropoulou, "A Rule-based System Integrating Case-Based Reasoning for Adaptive User Interfaces in Personalized Educational Software", 10th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM 2025), Patras, Greece, September 19-21, 2025 |
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