Sökning: "Technology Enhanced Learning"
Visar resultat 1 - 5 av 91 uppsatser innehållade orden Technology Enhanced Learning.
1. Mutual Enhancement of Environment Recognition and Semantic Segmentation in Indoor Environment
Master-uppsats,Sammanfattning : Background:The dynamic field of computer vision and artificial intelligence has continually evolved, pushing the boundaries in areas like semantic segmentation andenvironmental recognition, pivotal for indoor scene analysis. This research investigates the integration of these two technologies, examining their synergy and implicayions for enhancing indoor scene understanding. LÄS MER
2. Exploring a Wearable Technology for Enhanced Learning : - a design concept
Kandidat-uppsats, Linköpings universitet/Institutionen för datavetenskapSammanfattning : This paper is an explorative interaction design study focusing on the development of a wearable device for enhanced learning of bodily skills. It uses a variation of technology scouting and matchmaking to explore possible technologies related to assistive technology for learning. LÄS MER
3. Gamification for technology-enhanced mineral value chain teaching and learning: serious gaming for geometallurgy concept
Master-uppsats, Luleå tekniska universitet/Institutionen för samhällsbyggnad och naturresurserSammanfattning : The concept of gamification is being increasingly explored and applied to offer new teaching or training tools to teachers, students or employees. The field of geology and geometallurgy wasn’t particularly discussed in the topic of gamification. LÄS MER
4. TECHNOLOGY ENHANCED SELF-DIRECTED LEARNING IN THE WORKPLACE:
Master-uppsats, Göteborgs universitet/Institutionen för pedagogik, kommunikation och lärandeSammanfattning : Purpose: The overall purpose of this study is to investigate the perceived effectiveness of technology-enhanced self-directed learning (TESDL) in the workplace context, with a specific focus on the IT industry (company X in Nigeria). The study aims to assess the perception of employees on the motivating factors, barriers, environment, and technological tools utilized for TESDL. LÄS MER
5. Anomaly Detection for Condition Monitoring in Robot Systems
Master-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : This thesis addresses the detection of wear patterns in robot joints as an indication of the increase in wear level or impending failures. The main challenges include identifying key wear features, developing efficient anomaly detection algorithms, ensuring generalization across different joints and operating conditions, and enabling real-time monitoring. LÄS MER