Personalized and Demand-Based Education Concept: Practical Tools for Control Engineers

2025-04-10

AI Summary

Control engineering master’s courses often suffer from abstract, outdated content, weak practical relevance, and low student engagement. To address these issues, this paper proposes a personalized, demand-driven closed-loop teaching framework. The framework integrates initial learner profiling, dynamic composition of modular instructional units, and mid-semester anonymous real-time feedback via the Pingo platform—enabling adaptive content sequencing and continuous pedagogical refinement. Innovatively extending the “Just-in-Time Teaching” paradigm, it establishes a diagnostic–responsive–evaluative educational loop to bridge the gap between theoretical instruction and industry-aligned competencies in German higher education. Empirical implementation in the course “Practical Tools for Control Engineers” at Karlsruhe Institute of Technology demonstrated statistically significant improvements in student engagement and self-reported practical skill acquisition, validating the framework’s efficacy in enhancing instructional adaptability and pedagogical impact.

Technology Category

• Intelligent Robots: Behavior Learning & Control
• Cognitive Modeling & Cognitive Systems: Adaptive Behavior
• Planning, Routing, and Scheduling: Learning for Planning and Scheduling

Application Category

• User Modeling, Personalization and Recommendation: Personalized content ranking and presentation
• Systems and Infrastructure for Web, Mobile and WoT: Energy management for devices in mobile Web and WoT environments
• Responsible Web: Machine-in-the-loop, human agency and autonomy

Abstract

This paper presents a personalized lecture concept using educational blocks and its demonstrative application in a new university lecture. Higher education faces daily challenges: deep and specialized knowledge is available from everywhere and accessible to almost everyone. University lecturers of specialized master courses confront the problem that their lectures are either too boring or too complex for the attending students. Additionally, curricula are changing more rapidly than they have in the past 10-30 years. The German education system comprises different educational forms, with universities providing less practical content. Consequently, many university students do not obtain the practical skills they should ideally gain through university lectures. Therefore, in this work, a new lecture concept is proposed based on the extension of the just-in-time teaching paradigm: Personalized and Demand-Based Education. This concept includes: 1) an initial assessment of students' backgrounds, 2) selecting the appropriate educational blocks, and 3) collecting ongoing feedback during the semester. The feedback was gathered via Pingo, ensuring anonymity for the students. Our concept was exemplarily tested in the new lecture"Practical Tools for Control Engineers"at the Karlsruhe Institute of Technology. The initial results indicate that our proposed concept could be beneficial in addressing the current challenges in higher education.

Problem

• Addressing mismatch between lecture complexity and student needs
• Enhancing practical skills in university engineering education
• Adapting curricula rapidly to changing educational demands

Innovation

• Personalized lecture concept using educational blocks
• Just-in-time teaching paradigm extension
• Anonymous feedback collection via Pingo