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Methodologies and Intelligent Systems for Technology Enhanced Learning, Workshops, 12th International Conference / edited by Zuzana Kubincová, Alessandra Melonio, Dalila Durães, Davide Rua Carneiro, Mehdi Rizvi, Loreto Lancia.
Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2023 Available online
View online- Format:
- Book
- Series:
- Lecture Notes in Networks and Systems, 2367-3389 ; 538
- Language:
- English
- Subjects (All):
- Computational intelligence.
- Artificial intelligence.
- Computational Intelligence.
- Artificial Intelligence.
- Local Subjects:
- Computational Intelligence.
- Artificial Intelligence.
- Physical Description:
- 1 online resource (216 pages)
- Edition:
- 1st ed. 2023.
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2023.
- System Details:
- Mode of access: World Wide Web.
- Summary:
- This book covers the 12th International Conference in Methodologies and Intelligent Systems for Technology Enhanced Learning which was hosted by the University of L'Aquila and was held in L'Aquila (Italy) from July 13 to 15, 2022. The conference has established itself as a consolidated fertile forum where scholars and professionals from the international community, with a broad range of expertise in the TEL field, share results and compare experiences. Technologies in TEL are capable of delivering smart, personalized, tailored, and motivating learning solutions. Methods are coming from different fields, such as education, psychology, medicine, computer science, and from diverse communities, where collaboration and co-working are used.
- Contents:
- Intro
- Preface
- Organization
- Organization of MIS4TEL 2022
- General Chair
- Technical Program Chairs
- Paper Chairs
- Workshop Chairs
- Publicity Chairs
- Steering Committee Representatives
- Local Organizing Committee
- Organizing Committee
- Workshop on Artificial Intelligence for Education (Ai4Ed)
- Program Committee
- Workshop on Technology Enhanced Learning in Nursing Education (NURSING)
- Workshop on Reflections and Dialogues around Smart Technology (ResiSTo)
- Contents
- Teaching Data Structures and Algorithms Through Games
- 1 Introduction
- 2 Methodology
- 2.1 Case Studies
- 3 Results
- 4 Conclusions
- References
- Evaluation Test Generation Model Using Two Intervals of Difficulty and Keywords
- 2 Elements of a Test and Conditions Applied
- 2.1 Data Structure
- 2.2 Input Parameters and Output Structure
- 3 Algorithm for Generating a Test
- 3.1 Terms Used and Formal Definitions
- 3.2 Generating Initial Population
- 3.3 Fitness Function
- 3.4 Mutation
- 3.5 Crossover
- 3.6 Algorithm Workflow
- 4 Implementation and Testing
- 4.1 Graphical User Interface
- 4.2 Testing
- 5 Conclusion
- A Report on the Use of the rDSA Tool for Formative and Summative Assessment
- 2 Related Work
- 3 The rDSA Tool
- 3.1 Application Scenario
- 3.2 Educational Impact
- 3.3 Implementation Progresses
- 4 Usability, Engagement, Grades
- 5 Conclusions
- Effect of the Scaffolding Done by a BDI Agent on the Evolution of Learning Trajectories
- 2.1 Research Question
- 2.2 Hypothesis
- 2.3 Research Design
- 2.4 Participants
- 2.5 Materials.
- 2.6 Procedure
- 2.7 Metrics and Analysis
- A Systematic Review on Student Failure Prediction
- 4 Discussion
- 4.1 Towards a Definition of School/Student Failure in the Computer Science Literature
- 4.2 Most Important Features for Students Success
- 4.3 AI Strategies to Predict School Failure
- N.I.C.U. Simulation-Based Training - Maintaining Skills During the COVID-19 Pandemic
- 1.1 Nursing Training
- 2 SimNewB, Advanced Training in Neonatal Resuscitation
- 3 The Circle of Learning
- 4 SimNewB - Advanced Training in Neonatal Resuscitation, Experience of an Italian Pediatric Hospital during COVID - 19 Pandemic
- 4.1 Delivering Training During Pandemic
- 5 Results
- 6 Conclusion
- Education and Monitoring of People with Migraine Through a Mobile App: A Prototype Developed by a Multidisciplinary Group
- 2 Methods
- 2.1 Developer Team and Preliminary Analysis
- 2.2 Setting and Target Population
- 2.3 Migrameter Features
- 2.4 Ethics, Data Protection, and Storage
- 2.5 User Experience
- 2.6 Research Aims
- 3 Discussion and Future Perspectives
- E-Learning Versus Traditional Teaching in the Nursing Disciplines: A Systematic Review
- 2 Method
- 2.1 Search Strategy
- 2.2 Inclusion and Exclusion Criteria
- 2.3 Study Identification and Selection
- 2.4 Critical Appraisal
- 3.1 Characteristics of the Included Studies
- Validation of Simulation Scenarios in Preceptor Training
- 2 Materials and Methods
- References.
- Nursing Students' Perceptions of Virtual Simulation in Nursing Education During the COVID-19 Pandemic: A Proposal for a Validation Protocol and Cross-Sectional Study
- 2 Background
- 3 Methods
- 3.1 Aims
- 3.2 Design, Sample and Data Collection
- 3.3 Procedures
- 3.4 Measurement
- 3.5 Data Analysis
- 3.6 Ethical Issues
- 4.1 Limitations
- Engaging Nursing Students in Research: An Observational Internship in Blended Team Based Learning on Nursing Image
- 2.1 Study Design
- 2.2 Team Based Learning
- 2.3 Study Population
- 2.4 Our Path
- 2.5 Learning Outcomes and Evaluation of TBL
- 2.6 Description of Advance-Preparation Resources
- 2.7 Description of Readiness Assurance Process
- 2.8 Description of Team Application Activities
- 2.9 Ethical Considerations
- 4 Discussion and Conclusion
- Immersive Virtual Reality in Nursing Education. What About 360° Videos?
- Genomic Literacy in the Nursing Field: A Scoping Review Protocol
- 2.1 Eligibility Criteria
- 2.2 Search Strategy
- 2.3 Data Management
- 2.4 Data Extraction, Analysis, and Presentation
- 2.5 Risk of Bias and Quality Appraisal
- 2.6 Ethics and Dissemination
- 3 Implications
- Clinical Judgment Skills Assessment in High Fidelity Simulation: A Comparison Study in Nursing Education
- 2.1 Study Design, Participants and Setting
- 2.2 The Evaluation Tool: LCJR
- 2.3 Ethical Considerations
- 2.4 Data Analysis
- 4.1 Limitations of the Study
- A Comparative Analysis of High-Fidelity Simulation Models Utilized in an Intensive Critical Care Nursing Course
- 3.1 High-Fidelity Simulation Modalities and Learning Outcomes
- GenoNurse - Project - an International Partnership to Enhance Genetic and Genomic Competence in European Nursing Students
- 2 Aims and Objectives
- 3 Expected GenoNurse Project Results
- 3.1 GenoNurse Model
- 3.2 GenoNurse Community
- 3.3 GenoNurse Roadmap
- 3.4 GenoNurse Guidelines
- Burnout Syndrome Among Master's Degree Nursing Students Using a Compromising Negotiation Style Evaluated Through a Serious Game
- 1.1 Aims of the Study
- 2.1 Design, Setting, Sample, and Data Collection
- 2.2 Instruments
- 2.3 Data Analysis
- 2.4 Ethical Considerations
- 3.1 Burnout Syndrome Levels and Compromising Negotiation Style
- Empowering AI Competences in Children: The First Turning Point
- 2 Structure of the Activities and of the Observations
- 3 Egyptian Room
- 4 Build Your Fleet
- 5 What Can We Cook?
- 6 Plan Your Path
- 7 Conclusion and Take Away
- TEL Intervention Enhancement: The Link Between Users' and System's Perspectives
- 2 An Overview on the Cyber Trainer Learning Platform
- 3 Reflections on the Choice of Appropriate Technology
- 4 The Report Module at Work
- 5 Reflections on the Benefits of the Technological Choices
- 6 Conclusions and Future Work
- Chatbots for Creating Smart Things with Children: Preliminary Investigations and Several Challenges
- 2 Background.
- 3 Contextual Inquiry
- 3.1 Setting and Participants
- 3.2 Research Question
- 3.3 Data Gathering and Tasks
- 3.4 Results and Reflections
- 4 Challenges and Future Work
- Author Index.
- Notes:
- Includes bibliographical references and index.
- Other Format:
- Print version: Kubincová, Zuzana Methodologies and Intelligent Systems for Technology Enhanced Learning, Workshops, 12th International Conference
- ISBN:
- 3-031-20257-0
- OCLC:
- 1356578783
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