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Internet of things based smart healthcare : intelligent and secure solutions applying machine learning techniques / / Suparna Biswas [and three others] editors
| Internet of things based smart healthcare : intelligent and secure solutions applying machine learning techniques / / Suparna Biswas [and three others] editors |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (394 pages) |
| Disciplina | 004.678 |
| Collana | Smart computing and intelligence |
| Soggetto topico |
Internet of things
Medical innovations Medicine - Data processing Internet de les coses Processament de dades Medicina |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 981-19-1408-7 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Contents -- IoT Based Smart Healthcare -- Wearable Sensors and Machine Intelligence for Smart Healthcare -- 1 Introduction -- 2 Presents Healthcare Issues and Challenges for Remote Patients -- 3 The Possibilities of IoT as an Alternate to Conventional Healthcare System -- 4 IoT-Enabled Healthcare System -- 4.1 General Architecture -- 4.2 Proposed Architecture for the Healthcare System -- 4.3 Proposed Model -- 4.4 Component Description -- 4.5 Working Procedure of Healthcare Model -- 5 The Need and Importance of Machine Learning in Smart Healthcare -- 6 Conclusion -- References -- Architecture for Smart Healthcare: Cloud Versus Edge -- 1 Introduction -- 2 Role of Cloud Computing in Smart Healthcare Architecture -- 2.1 Properties of Cloud Computing -- 2.2 Utilities of Cloud Computing -- 2.3 Deployment Models of Cloud Computing -- 2.4 Different Architectures of Cloud Computing Used in Smart Healthcare -- 3 Role of Edge Computing in Smart Healthcare Architecture -- 3.1 Utilities of Edge Computing -- 3.2 Different Proposed Architectures of Edge Computing Used in Smart Healthcare -- 3.3 Limitation of Edge Computing -- 4 Difference Between Cloud of Edge on Smart Healthcare Perspective -- 5 Conclusion -- References -- The Medical Internet of Things: A Review of Intelligent Machine Learning and Deep Learning Applications for Leveraging Healthcare -- 1 Introduction -- 2 The Architecture of MIoT -- 2.1 The Perception Layer -- 2.2 The Network Layer -- 2.3 The Application Layer -- 3 IoT in Healthcare -- 3.1 IoT Services and Applications -- 3.2 IoT Healthcare Applications -- 3.3 Benefits of IoT in HealthCare -- 4 Machine Learning and Deep Learning Applications for MIoT -- 4.1 Machine Learning and Deep Learning Applications -- 5 Related Work and Discussion -- 5.1 Summary -- 6 Challenges -- 7 Future Directions -- 8 Conclusion -- References.
Main Challenges and Concerns of IoT Healthcare -- 1 Introduction -- 2 Applications of IoT in Healthcare -- 3 Benefits of IoT in Healthcare -- 4 Role of Cloud and Edge Computing in IoT Healthcare Services -- 4.1 Role of Cloud Computing in IoT Healthcare Services -- 4.2 Role of Edge Computing in IoT Healthcare -- 5 Challenges and Concerns of Healthcare IoT Ecosystem -- 5.1 Security and Privacy -- 5.2 Device Vulnerability -- 5.3 Interoperability -- 5.4 Connectivity -- 5.5 Volume of Data and Its Analytics -- 5.6 Energy Efficiency -- 5.7 Trust Issues and Government Policies -- 5.8 Other Challenges -- 6 Open Issues -- 7 Conclusion -- References -- Challenges of Handling Data in IoT-Enabled Healthcare -- 1 Introduction -- 2 IoT Healthcare Services and Applications -- 2.1 Services -- 2.2 IoT Applications -- 3 Challenges of Health Data -- 3.1 Inter-Domain Authentication and Interoperability -- 3.2 Security and Privacy -- 3.3 Device Communication -- 3.4 Management of Data -- 4 Uncertainties in Data -- 4.1 Types of Uncertainty in Healthcare -- 4.2 Sources of Uncertainty in IoT System -- 5 Statistical Methods -- 6 Case Studies -- 6.1 Accuracy-Related Error Prediction -- 6.2 Results for Precision Error Reduction -- 7 Virtual Sensor-Based Infrastructure -- 8 Conclusion -- References -- Context and Body Vitals Monitoring Systems -- Human Activity Recognition Systems Based on Sensor Data Using Machine Learning -- 1 Introduction -- 1.1 Classification of HAR According to Sensor Deployment -- 1.2 General Components of HAR System -- 1.3 Few Challenges of HAR in IoHT with Their Solution -- 2 Activity Recognition Method: A Machine Learning (ML) Approach -- 2.1 Why ML is to Be Used in HAR -- 2.2 Data Preprocessing: -- 2.3 Learning and Inference -- 2.4 Why to Prefer Modern ML Techniques and Deep Learning -- 3 Different State-Of-The-Art ML/DL Techniques. 4 Future Direction of Research -- References -- Human Activity Recognition Systems Based on Audio-Video Data Using Machine Learning and Deep Learning -- 1 Introduction -- 2 HAR -- 3 Sensory Data, Audio and Video Data for HAR -- 3.1 Sensory Data -- 3.2 Audio Data -- 3.3 Video Data -- 4 ML and DL in HAR -- 4.1 ML in HAR -- 4.2 Challenges of ML in HAR -- 4.3 DL in HAR -- 4.4 Challenges of DL in HAR -- 5 Implementation of HAR -- 5.1 Experimental Environment -- 6 Evaluation of HAR Systems -- 6.1 Evaluation Methodologies -- 6.2 Evaluation Metrics -- 7 Case Studies -- 8 Conclusion -- References -- On Body Vitals Monitoring for Disease Prediction: A Systematic Survey -- 1 Introduction to the Need for Generalized IOT Healthcare Paradigm -- 2 Role of Body Vital Monitoring System for Disease Prediction in IOT Healthcare -- 3 Valuable Vital Signs and Their Need to Be Monitored -- 3.1 Electrocardiogram (ECG) -- 3.2 Heart Rate (HR) -- 3.3 Blood Pressure (BP) -- 3.4 Respiration Rate -- 3.5 Blood Oxygen Saturation (SpO2) -- 3.6 Body Temperature -- 4 Review on the Recent Technological Advances in the Remote Healthcare Monitoring System -- 5 Summary -- References -- Review of Body Vitals Monitoring Systems for Disease Prediction -- 1 Introduction -- 2 Relevant Works -- 2.1 Data Collection -- 2.2 Analysis Techniques -- 3 Open Research Issues -- 4 Applications of Smart Devices -- 4.1 Personal ECG Monitor -- 4.2 Portable Smart Watch -- 4.3 Smart Glucometer -- 4.4 Brain Sensing Headband -- 4.5 Smart Temporal Thermometer -- 4.6 Fertility Tracking Bracelet -- 4.7 Pain Relief Device -- 4.8 Bio Scarf -- 5 Data Security -- 6 Technical Analysis -- 6.1 Data Preprocessing -- 6.2 Feature Extraction -- 6.3 Learning Approaches -- 6.4 Performance Measure -- 7 Conclusion -- References -- Quantitative Assessment of Smartphone Usage in College Students-A Digital Phenotyping Approach. 1 Introduction -- 2 Experiment and Study Design -- 2.1 Study Procedure -- 2.2 Incentives and Privacy Considerations -- 2.3 Data Collection -- 3 Smartphone Technology -- 3.1 Working of an Accelerometer -- 4 Activity Detection -- 5 Sleep Detection -- 6 Sociability -- 7 Location and Mobility Patterns -- 7.1 Mobility Patterns -- 8 Discussions -- 8.1 Smartphone Addiction: Mobile Usage Hours -- 8.2 Sleep Quality Impact -- 9 Conclusions -- References -- Home Automation System Combining Internet-of-Things with Brain-Computer Interfacing -- 1 Introduction -- 1.1 The Application of Smart Health Care -- 1.2 Home Automation Related to Health Care -- 1.3 Human Brain -- 1.4 Electrode Placement in Human Brain -- 1.5 Brain-Computer Interface -- 1.6 Electroencephalogram Using Machine Learning -- 1.7 Internet-of-Things Devices and Technologies -- 2 Literature Survey -- 3 Proposed Work -- 3.1 Electrode Placement and Data Acquisition -- 3.2 Preprocessing -- 3.3 Signal Processing -- 3.4 Application Device Control System -- 4 Results -- 4.1 Experimental Setup -- 4.2 EEG Recording and Data Collection -- 5 Conclusion and Future Direction -- References -- Social Sensing Applications for Public Health -- ``Montaj'': A Gaming System for Assessing Cognitive Skills in a Mobile Computing Platform -- 1 Introduction -- 2 Design and Development -- 2.1 Device Compatibility and System Installation -- 2.2 Life Cycle of a Study -- 2.3 Use Cases Diagram -- 2.4 Data Flow Diagram (DFD) -- 2.5 Entity Relationship (ER) Diagram -- 2.6 Games in `Montaj': Registration and Removal-Flexibility of the System -- 2.7 Games Made Available with the System -- 2.8 Built in Search Facilities of `Montaj' -- 2.9 Provision for Importing New Games -- 3 Testing and Validation -- 4 Novelty of System Implemented in the System -- 4.1 Capability of Accommodating Externally Implemented Games. 4.2 Novelty of the Games Implemented in the System -- 5 Usability Analysis -- 6 Conclusion -- References -- Social Data Analysis Techniques and Applications -- 1 Introduction -- 2 Social Sensing Application in Public Health -- 3 Social Data in Public Health -- 4 Social Data Analysis Techniques in Public health -- 4.1 Natural Language Processing -- 4.2 News Analytic -- 4.3 Opinion Mining -- 4.4 Scraping -- 4.5 Sentiment Analysis -- 4.6 Text Analytics -- 4.7 Social Network Analysis -- 5 State of Art Social Data Applications -- 6 SNA Techniques and Applications in Public Health -- 7 Conclusion -- References -- Challenges and Limitations of Social Data Analysis Approaches -- 1 Introduction -- 2 General Challenges -- 2.1 Technical Limitations -- 2.2 Actionability Concern -- 2.3 Ethical Considerations -- 3 Other Issues for Social Data Analysis -- 3.1 Issues of Social Data Collection -- 3.2 Issues for Processing Data -- 3.3 Issues Analysing Data -- 4 Social Data in Real-World Applications -- 5 Conclusion -- References -- Reliability, Security and Privacy of Health Data -- IoT-Based Secure Health Care: Challenges, Requirements and Case Study -- 1 Introduction -- 2 Traditional Versus Modern Architecture -- 3 Security Threats -- 4 Importance of Privacy and Security -- 4.1 Mutual-Authentication -- 4.2 Confidentiality -- 4.3 Anonymity -- 4.4 Data Freshness -- 4.5 Data Integrity -- 4.6 Data Availability -- 5 Taxonomy of Privacy and Security in Health Care -- 5.1 Access Control Schemes -- 5.2 Authentication Schemes -- 5.3 Encryption Schemes -- 6 Case Study on Intrusion Detection System for Health Care -- 6.1 Models -- 6.2 Desired Features of Healthcare IDS and IPS -- 6.3 Commercial IDS and IPS -- 6.4 Open Research Issues -- 7 Conclusion -- References. Applications of IoT and Blockchain Technologies in Healthcare: Detection of Cervical Cancer Using Machine Learning Approaches. |
| Record Nr. | UNINA-9910584483603321 |
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Intracranial EEG : a guide for cognitive neuroscientists / / edited by Nikolai Axmacher
| Intracranial EEG : a guide for cognitive neuroscientists / / edited by Nikolai Axmacher |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (1052 pages) : illustrations (some colour) |
| Disciplina |
929.374
616.8047547 |
| Collana | Studies in Neuroscience, Psychology and Behavioral Economics |
| Soggetto topico |
Electroencephalography
Neurociència cognitiva Processament de dades |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-031-20910-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1: Which epilepsy patients are implanted with iEEG electrodes -- Chapter 2: Which is the cognitive status of epilepsy patients undergoing intracranial presurgical studies, and what influences it? -- Chapter 3: (How) does epileptic activity influence cognitive functioning? -- Chapter 4: Which practical issues should I consider when planning and conducting an iEEG study?. |
| Record Nr. | UNINA-9910736989203321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Introducing HR analytics with machine learning : empowering practitioners, psychologists, and organizations / / Christopher M. Rosett, Austin Hagerty
| Introducing HR analytics with machine learning : empowering practitioners, psychologists, and organizations / / Christopher M. Rosett, Austin Hagerty |
| Autore | Rosett Christopher M. |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (266 pages) |
| Disciplina | 658.300285 |
| Soggetto topico |
Personnel management - Data processing
Machine learning Gestió de personal Processament de dades Aprenentatge automàtic |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-67626-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910485595603321 |
Rosett Christopher M.
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| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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An Introduction to Scientific Computing : Fifteen Computational Projects Solved with MATLAB / / by Ionut Danaila, Pascal Joly, Sidi Mahmoud Kaber, Marie Postel
| An Introduction to Scientific Computing : Fifteen Computational Projects Solved with MATLAB / / by Ionut Danaila, Pascal Joly, Sidi Mahmoud Kaber, Marie Postel |
| Autore | Danaila Ionut |
| Edizione | [2nd ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (379 pages) |
| Disciplina | 620.00151 |
| Altri autori (Persone) |
JolyPascal
KaberSidi Mahmoud PostelMarie |
| Soggetto topico |
Mathematics
Mathematics - Data processing Computational intelligence Mathematical physics Numerical analysis Applications of Mathematics Computational Mathematics and Numerical Analysis Computational Intelligence Theoretical, Mathematical and Computational Physics Numerical Analysis Anàlisi numèrica Processament de dades |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-031-35032-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Numerical Approximation of Model Partial Differential Equations -- Nonlinear Differential Equations: Application to Chemical Kinetics -- Polynomial Approximation -- Solving an Advection-Diffusion Equation by a Finite Element Method -- Solving a Differential Equation by a Spectral Method -- Signal Processing: Multiresolution Analysis -- Elasticity: Elastic Deformation of a Thin Plate -- Domain Decomposition Using a Schwarz Method -- Geometrical Design: Bézier Curves and Surfaces -- Gas Dynamics: The Riemann Problem and Discontinuous Solutions: Application to the Shock Tube Problem -- Thermal Engineering: Optimization of an Industrial Furnace -- Fluid Dynamics: Solving the Two-Dimensional Navier-Stokes Equations. |
| Record Nr. | UNINA-9910760268503321 |
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Danaila Ionut
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Introduction to Scientific Computing and Data Analysis / / by Mark H. Holmes
| Introduction to Scientific Computing and Data Analysis / / by Mark H. Holmes |
| Autore | Holmes Mark H |
| Edizione | [2nd ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (563 pages) |
| Disciplina | 502.85 |
| Collana | Texts in Computational Science and Engineering |
| Soggetto topico |
Mathematics—Data processing
Mathematical optimization Mathematical analysis Computational Science and Engineering Optimization Analysis Ciència Processament de dades Investigació quantitativa |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-031-22430-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- Preface to Second Edition -- Introduction to Scientific Computing -- Solving a Nonlinear Equation -- Matrix Equations -- Eigenvalue Problems -- Interpolation -- Numerical Integration -- Initial Value Problems -- Optimization: Regression -- Optimization: Descent Methods -- Data Analysis -- Taylor's Theorem -- Vector and Matrix Summary -- Answers -- References -- Index. |
| Record Nr. | UNINA-9910734870703321 |
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Holmes Mark H
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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An introduction to statistics with Python : with applications in the life sciences / / Thomas Haslwanter
| An introduction to statistics with Python : with applications in the life sciences / / Thomas Haslwanter |
| Autore | Haslwanter Thomas <1964-> |
| Edizione | [Second edition.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (341 pages) |
| Disciplina | 610.727 |
| Collana | Statistics and Computing |
| Soggetto topico |
Biometry
Computer science - Mathematics Programming languages (Electronic computers) Python (Llenguatge de programació) Estadística matemàtica Processament de dades Biometria |
| Soggetto genere / forma | Llibres electrònics |
| ISBN |
9783030973711
9783030973704 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910631094303321 |
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Haslwanter Thomas <1964->
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| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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An introduction to statistics with Python : with applications in the life sciences / / Thomas Haslwanter
| An introduction to statistics with Python : with applications in the life sciences / / Thomas Haslwanter |
| Autore | Haslwanter Thomas <1964-> |
| Edizione | [Second edition.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (341 pages) |
| Disciplina | 610.727 |
| Collana | Statistics and Computing |
| Soggetto topico |
Biometry
Computer science - Mathematics Programming languages (Electronic computers) Python (Llenguatge de programació) Estadística matemàtica Processament de dades Biometria |
| Soggetto genere / forma | Llibres electrònics |
| ISBN |
9783030973711
9783030973704 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996499869703316 |
|
Haslwanter Thomas <1964->
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| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Language education in digital spaces : perspectives on autonomy and interaction / / Carolin Fuchs, Mirjam Hauck, Melinda Dooly, editors
| Language education in digital spaces : perspectives on autonomy and interaction / / Carolin Fuchs, Mirjam Hauck, Melinda Dooly, editors |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (231 pages) |
| Disciplina | 418.0071 |
| Collana | Educational linguistics |
| Soggetto topico |
Language and languages - Study and teaching
Ensenyament de la llengua Internet en l'ensenyament Processament de dades |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-74958-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Contents -- Introduction -- 1 Autonomy and Technology: Potential Game-Changers in Language Education -- 2 Foregrounding Autonomy in Digital Spaces and Different Instructional Contexts -- 2.1 Instructed Contexts -- 2.1.1 Plurality and Translanguaging in Student Interaction -- 2.1.2 Self-Regulated Learning Through Task-Based Learning -- 2.2 Semi-Instructed Contexts -- 2.2.1 Motivational Drivers in Experiential Learning Through VE -- 2.2.2 Choice, Awareness, and Control in a Teacher Education VE -- 2.2.3 Agency, Reflection, and Self-Direction in a Teacher Education VE -- 2.3 Self-Instructed Contexts -- 2.3.1 Agency, Control, and Choice Through Games and Apps -- 2.4 Epistemological and Analytical Frameworks for Exploring Autonomy -- References -- Learning, Working and Playing Online: University Students' Practices When Collaborating in Social Media -- 1 Introduction -- 2 Learner Autonomy in Digital Contexts -- 3 The Study: Background and Context -- 3.1 Participants and Data Sources -- 3.2 Analytical Methods -- 4 Findings -- 4.1 Roles Adopted -- 4.2 Language Choice and Accommodation -- 4.3 Getting Things Done Online: Activities Observed -- 5 Discussion and Conclusion -- References -- Exploring Self-Regulated Learning Through Flipped Instruction with Digital Technologies: An Intermediate Spanish Course -- 1 Introduction -- 2 Review of the Literature -- 2.1 Conceptual Framework: Learner Autonomy, Self-Regulated Learning -- 2.2 Self-Regulated Learning in Technology-Enhanced Flipped Classrooms -- 2.3 Research Questions -- 3 Methodology -- 3.1 Context of the Study -- 3.2 Participants -- 3.3 Course Design and Structure -- 4 Data Collection and Analysis -- 4.1 Post Survey -- 4.2 Self-Reflective Blogs -- 4.3 Focus-Group Interviews -- 5 Results and Discussion.
5.1 Research Question #1: Student Reactions to the Flipped Model for Self-Regulated Learning -- 5.2 Research Question #2: Factors Affecting Students' Self-Regulated Learning -- 5.3 Research Question #3: Impact of Peer Interaction and Instructor Scaffolding on Learner Autonomy -- 5.4 Limitations and Suggestions for Future Studies -- 6 Pedagogical Implications and Conclusion -- References -- Supporting Autonomy in an Exam-Based Context: Results from a Hong Kong-U.S. Telecollaboration -- 1 Introduction -- 2 Prior Research -- 3 Methodology -- 3.1 Participants -- 3.2 Hong Kong Course Context -- 3.3 Telecollaborative Tasks and Timeline -- 3.4 Data Collection and Analysis -- 4 Results -- 4.1 Prior Experience with Tools and Teamwork Experience and Expectations -- 4.2 Tasks Posts and Reflection -- 4.3 Self-Reflection Regarding Team Collaborations and Project Outcomes -- 4.4 Beneficial and Challenging Aspects of Course -- 5 Discussion -- 5.1 Prior Experience and Expectations -- 5.2 Participation in Telecollaborative Tasks -- 5.3 Motivation to Telecollaborate -- 5.4 Satisfaction with Final Projects -- 5.5 Limitations -- 6 Concluding Remarks -- References -- Where Multimodal Literacy Meets Online Language Learner Autonomy: "Digital Resources Give Us Wings" -- 1 Introduction -- 2 Background to the Study -- 2.1 Social Semiotics and Multimodal Literacy -- 2.2 Autonomy and Multimodal Literacy -- 3 Methodological Approach -- 3.1 Participants and Context -- 3.2 Tasks -- 3.3 Dataset and Data Analysis -- 4 Presentation and Discussion of Findings -- 4.1 Modal Affordances -- 4.1.1 Canvas -- 4.1.2 Padlet -- 4.1.3 Prezi -- 4.2 Who Am I? -- 4.3 What Is in a Group Name? -- 4.4 Co-creation of Digital Artefacts: Prezi Presentations -- 4.5 Assessment -- 5 Concluding Remarks -- Appendix -- References. From Autonomous Learners to Self-Directed Teachers in Telecollaboration: Teachers Look Back and Reflect -- 1 Introduction -- 2 The Importance of Agency in Teacher Development and Teaching -- 2.1 Teacher Agency in Telecollaborative Environments -- 2.2 Contextualizing the Data: The Course -- 3 Methodology -- 3.1 Data Collection Process -- 3.2 Data Management -- 3.3 Participants -- 4 Survey Results: An Overview of Responses -- 5 Qualitative Analysis -- 5.1 A Synopsis of the 17 Telecollaborative Exchanges Reported by the FSs -- 5.2 From Learner to Teacher Autonomy: Self-Reporting of Initiatives and 'Owning' the Process -- 5.3 Limitations -- 6 Discussion -- 7 Concluding Remarks -- References -- Learner and Teacher Autonomy Through Virtual Exchange: The Use of Videoconferencing Recorded Sessions as Stimuli for Reflection -- 1 Introduction -- 2 Literature Review -- 2.1 Learner Autonomy Theoretical Framework -- 2.2 Reflection to Promote Autonomy -- 2.3 SCMC-Based Virtual Exchanges -- 2.4 Research Questions -- 3 Methodology -- 3.1 Participants -- 3.2 Data Collection and Analysis -- 3.2.1 Pre- and Post-Surveys -- 3.2.2 Weekly Procedures -- 3.2.3 Data Analysis -- 4 Results -- 4.1 RQ1: Learner Engagement for TESOL Teacher Candidates and EFL Learners -- 4.1.1 Self-Rating of Engagement on Pre- and Post-Surveys -- 4.1.2 Self-Rating of Engagement on Weekly Reflections -- 4.2 RQ2: Reflection about the Learning Process for TESOL Teacher Candidates and EFL Learners -- 4.2.1 TESOL Teacher Candidate Weekly Reflections -- 4.2.2 EFL Learner Weekly Reflections -- 4.2.3 TESOL Teacher Candidate Zoom Analyses -- 4.2.4 EFL Learner Zoom Analyses -- 4.2.5 Post-Surveys for TESOL Teacher Candidates and EFL Learners -- 4.3 RQ 3: Use of the Target Language for TESOL Teacher Candidates and EFL Learners -- 4.4 Limitations -- 5 Discussion. 5.1 Learner Engagement for TESOL Teacher Candidates and EFL Learners -- 5.2 Reflection About the Learning Process for TESOL Teacher Candidates and EFL Learners -- 5.3 Use of the Target Language for TESOL Teacher Candidates and EFL Learners -- 6 Pedagogical Implications and Conclusions -- References -- Structured Reflection to Support Pre-Service Language Teachers' Autonomy Development -- 1 Introduction -- 1.1 Technology and Pre-service Language Teacher Education -- 1.2 Autonomy and Pre-service Language Teacher Education -- 2 Context of the Study -- 3 Methodology -- 4 Findings -- 4.1 Reflective Texts -- 4.2 Interviews -- 4.3 Learning by Doing -- 4.4 Purposeful Integration of Technology -- 4.5 Reflection to Make Learning Visible -- 5 Conclusion -- Appendices -- Appendix A - Template - Adapted from Gibbs Reflective Cycle -- Appendix B - Interview Schedule -- References -- Learnful L2 Gaming: The Wisdom of the Wild -- 1 Introduction -- 2 Background -- 3 The Study -- 3.1 Data and Procedures -- 3.2 Results -- 3.2.1 Game Genres and Titles -- 3.2.2 Languages -- 3.2.3 Suggestions for L2 Gaming -- 4 Discussion and Implications -- References -- Apps for Informal Autonomous Language Learning: An Autoethnography -- 1 Introduction -- 1.1 Autonomy -- 1.2 Foraging and Stimulus Appraisal -- 1.3 Autoethnographies -- 1.4 Autoethnographic Studies on Language Apps -- 2 Methodology -- 2.1 The Aim of the Study -- 2.2 The Resources -- 2.3 Method -- 2.4 Data Collection and Analysis -- 2.4.1 Journal -- 2.4.2 Data Analysis -- 3 Findings -- 3.1 Adapting My Phone for Language Learning -- 3.2 Foraging for Apps -- 3.2.1 Memrise -- 3.2.2 Busuu -- 3.2.3 Duolingo -- 3.2.4 HelloTalk -- 4 Discussion -- 5 Conclusion -- References -- Apps -- Afterword -- References. |
| Record Nr. | UNINA-9910502658403321 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Learning analytics in open and distributed learning : potential and challenges / / Paul Prinsloo, Sharon Slade and Mohammad Khalil, editors
| Learning analytics in open and distributed learning : potential and challenges / / Paul Prinsloo, Sharon Slade and Mohammad Khalil, editors |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore Pte Ltd., , [2022] |
| Descrizione fisica | 1 online resource (129 pages) |
| Disciplina | 371.334 |
| Collana | SpringerBriefs in education |
| Soggetto topico |
Education - Evaluation
Education, Higher - Evaluation Education - Data processing Educació Processament de dades Avaluació educativa Educació superior Analítiques d'aprenentatge |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 981-19-0786-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910568272903321 |
| Singapore : , : Springer Nature Singapore Pte Ltd., , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Machine learning : science and technology
| Machine learning : science and technology |
| Pubbl/distr/stampa | Bristol : , : IOP Publishing Ltd, , 2020- |
| Descrizione fisica | 1 online resource |
| Disciplina | 006.31 |
| Soggetto topico |
Machine learning
Informàtica Processament de dades Revistes electròniques |
| Soggetto genere / forma |
Periodicals
Zeitschrift |
| ISSN | 2632-2153 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti |
MLST
Machine learning Machine learning: science and technology |
| Record Nr. | UNISA-996340249603316 |
| Bristol : , : IOP Publishing Ltd, , 2020- | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Soggetto topico
-
Processament de dades
(164)
- Statistics (21)
- Machine learning (18)
- Aprenentatge automàtic (17)
- Estadística matemàtica (16)