Buch, Englisch, 176 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 295 g
Reihe: Cognitive Technologies
The Case of Spatial Intelligence Enhancement
Buch, Englisch, 176 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 295 g
Reihe: Cognitive Technologies
ISBN: 978-3-031-52007-5
Verlag: Springer Nature Switzerland
The authors present the design and development of a mobile training system that incorporates AR features to enhance learners’ spatial ability. Involving mental generation, transformation, and rotation of visual images for understanding spatial relationships, spatial ability is closely linked to success in various scientific disciplines and educational pursuits. While spatial visualization skills testsare available, this monograph takes a unique approach by focusing on developing targeted interventions to improve spatial ability. It aims to unlock new avenues for cognitive growth and dive into the untapped potential within the realm of spatial intelligence.
Beyond its emphasis on spatial ability enhancement, this monograph goes above and beyond traditional approaches by integrating AI techniques into the training system. As such, it aims to provide personalized and adaptive learning experiences for learners. The training system, through intelligent techniques, dynamically analyzes individual learners’ strengths, weaknesses, and progress, tailoring content and challenges to their specific needs. This effort establishes a new frontier in educational technology, offering a groundbreaking solution that not only augments spatial ability development but also showcases the transformative potential of AI in reshaping the learning experience.
The book is a valuable resource for researchers, educators, developers and technology enthusiasts, as it exemplifies the profound impact of AI and AR in shaping the future of online learning experiences.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Foreword.- Preface.- 1. Introduction and Overview of AI-enhanced Augmented Reality in Education.- 2. Review of the Literature on AI-enhanced Augmented Reality in Education.- 3. AI-driven and SOLO-based Domain Knowledge Modeling in PARSAT AR Software.- 4. Fuzzy Logic for modeling the Knowledge of Users in PARSAT AR Software.- 5. Artificial Intelligence-enhanced PARSAT AR Software: Architecture and Implementation.- 6. Multi-Model Evaluation of the Artificial Intelligence-Enhanced PARSAT AR Software.- 7. Conclusions of AI-driven AR in Education.