Accompagnarsi nei media / a cura di Laura Messina |
Pubbl/distr/stampa | Lecce : La Biblioteca Pensa Multimedia, 2007 |
Descrizione fisica | 238 p. : ill. ; 24 cm |
Disciplina | 371.334 |
Altri autori (Persone) | Messina, Laura |
Collana | Infanzia e primaria: professione insegnante |
Soggetto topico | Multimedialità - Impiego didattico |
ISBN | 9788882325237 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | ita |
Record Nr. | UNISALENTO-991000104419707536 |
Lecce : La Biblioteca Pensa Multimedia, 2007 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. del Salento | ||
|
Active conceptual modeling of learning : next generation learning-base system development / Peter P. Chen, Leah Y. Wong (Eds.) |
Pubbl/distr/stampa | Berlin (etc.) : Springer, copyr. 2007 |
Descrizione fisica | VIII, 225 p. : ill. ; 24 cm |
Disciplina | 371.334 |
Altri autori (Persone) | CHEN, Peter P. |
Collana | Lecture notes in computer science, State-of-the-Art Survey |
Soggetto topico | Elaboratori elettronici - Informatics |
ISBN | 3-540-77502-1 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISA-990003081560203316 |
Berlin (etc.) : Springer, copyr. 2007 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Adaptive Instructional Systems [[electronic resource] ] : 5th International Conference, AIS 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Copenhagen, Denmark, July 23–28, 2023, Proceedings / / edited by Robert A. Sottilare, Jessica Schwarz |
Autore | Sottilare Robert A |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (365 pages) |
Disciplina | 371.334 |
Altri autori (Persone) | SchwarzJessica |
Collana | Lecture Notes in Computer Science |
Soggetto topico |
User interfaces (Computer systems)
Human-computer interaction User Interfaces and Human Computer Interaction |
ISBN | 3-031-34735-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Human-Centered Design for Learner Acceptance, Engagement, and Performance -- Design Strategies and Guidelines for Adaptive Instructional Systems -- Individual Differences in Adaptive Learning -- Applications of Adaptive Instructional Systems. |
Record Nr. | UNINA-9910734854103321 |
Sottilare Robert A | ||
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Adaptive Instructional Systems [[electronic resource] ] : 5th International Conference, AIS 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Copenhagen, Denmark, July 23–28, 2023, Proceedings / / edited by Robert A. Sottilare, Jessica Schwarz |
Autore | Sottilare Robert A |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (365 pages) |
Disciplina | 371.334 |
Altri autori (Persone) | SchwarzJessica |
Collana | Lecture Notes in Computer Science |
Soggetto topico |
User interfaces (Computer systems)
Human-computer interaction User Interfaces and Human Computer Interaction |
ISBN | 3-031-34735-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Human-Centered Design for Learner Acceptance, Engagement, and Performance -- Design Strategies and Guidelines for Adaptive Instructional Systems -- Individual Differences in Adaptive Learning -- Applications of Adaptive Instructional Systems. |
Record Nr. | UNISA-996542669603316 |
Sottilare Robert A | ||
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Adaptive Instructional Systems [[electronic resource] ] : Second International Conference, AIS 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19–24, 2020, Proceedings / / edited by Robert A. Sottilare, Jessica Schwarz |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
Descrizione fisica | 1 online resource (XX, 570 p. 139 illus., 91 illus. in color.) |
Disciplina | 371.334 |
Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
Soggetto topico |
User interfaces (Computer systems)
Application software Artificial intelligence Computers Computer organization User Interfaces and Human Computer Interaction Computer Applications Artificial Intelligence Computing Milieux Computer Systems Organization and Communication Networks |
ISBN | 3-030-50788-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Designing and Developing Adaptive Instructional Systems -- Sensor-based Adaptive Instructional Systems in Live Simulation Training -- An Ambient & Pervasive Personalized Learning Ecosystem: “Smart Learning” in the Age of the Internet of Things -- Bridging Conceptual Models and Architectural Interchange for Adaptive Instructional Systems -- Dewey’s Ethics of Moral Principles and Deliberation: Extending IEEE’s Ethics Initiative for Adaptive Instructional Systems -- Realistic and Relevant Role-Players for Experiential Learning -- Learning Traces, Measurement and Assessment Templates for AIS Interoperability -- Supporting different Roles and Responsibilities in Developing and Using Context-based Adaptive Personalized Collaboration Environments Compliant to the Law -- Experiential Instruction of Metacognitive Strategies -- Falling Forward: Lessons Learned from Real-Life Implementation of Adaptive Learning Solutions -- Usability Dimensions of Simulated Trainers for Buried Explosives -- Toward Zero Authoring: Considering How to Maximize Courseware Quality and Affordability Simultaneously -- Agent-Based Methods in Support of Adaptive Instructional Decisions -- Representing Functional Relationships of Adaptive Instructional Systems in a Conceptual Model -- Knowledge-to-Information Translation Training (KITT): An Adaptive Approach to Explainable Artificial Intelligence -- User Rights and Adaptive A/IS – From Passive Interaction to Real Empowerment -- Supporting Metacognitive Learning Strategies through an Adaptive Application -- Towards Iteration by Design: An Interaction Design Concept for Safety Critical Systems -- Learner Modelling and Methods of Adaptation -- Bayesian Student Modelling in the AC&NL Tutor -- Nature at Your Service - Nature Inspired Representations Combined with Eye-gaze Features to Infer User Attention and Provide Contextualized Support -- Adapting Instruction by Measuring Engagement with Machine Learning in Virtual Reality Training -- Realizing the Promise of AI-Powered, Adaptive, Automated, Instant Feedback on Writing for Students in Grade 3-8 with an IEP -- Declarative Knowledge Extraction in the AC&NL Tutor -- On the Importance of Adaptive Operator Training in Human-Swarm Interaction -- The Mental Machine: Classifying Mental Workload State from Unobtrusive Heart Rate- measures Using Machine Learning -- Production Implementation of Recurrent Neural Networks in Adaptive Instructional Systems -- Pilot State Monitoring for Cursus Recommendation -- Experimental Evaluation of Heart-based Workload Measures as Related to Their Suitability for Real-time Applications -- EEG Covariance-based Estimation of Cooperative States in Teammates -- Adapting the Zone of Proximal Development to the Wicked Environments of Professional Practice -- An Adaptive Instructional System for the Retention of Complex Skills -- Learner Modeling in the Context of Caring Assessments -- Evaluating the Effectiveness of Adaptive Instructional Systems -- The Evolving Assessment Landscape and Adaptive Instructional Systems: Moving Beyond Good Intentions -- Contextual Barriers to Validity in Adaptive Instruction and Assessment -- Does Time Matter in Learning? A Computer Simulation of Carroll's Model of Learning -- Competency Development through Experiential Training: Mapping Scenarios with Assessments -- Does Gamification Work? Analyzing Effects of Game Features on Learning in an Adaptive Scenario-Based Trainer -- From “Knowing What” to “Knowing When”: Exploring a Concept of Situation Awareness Synchrony for Evaluating SA Dynamics in Teams -- Exploring Video Engagement in an Intelligent Tutoring System -- Using a Non-Player Character to Improve Training Outcomes for Submarine Electronic Warfare Operators -- The Impact of Adaptive Activities in Acrobatiq Courseware: Investigating the Efficacy of Formative Adaptive Activities on Learning Estimates and Summative Assessment Scores -- A Mastery Approach to Flashcard-based Adaptive Training. . |
Record Nr. | UNISA-996418281203316 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Adaptive Instructional Systems [[electronic resource] ] : Second International Conference, AIS 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19–24, 2020, Proceedings / / edited by Robert A. Sottilare, Jessica Schwarz |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
Descrizione fisica | 1 online resource (XX, 570 p. 139 illus., 91 illus. in color.) |
Disciplina | 371.334 |
Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
Soggetto topico |
User interfaces (Computer systems)
Application software Artificial intelligence Computers Computer organization User Interfaces and Human Computer Interaction Computer Applications Artificial Intelligence Computing Milieux Computer Systems Organization and Communication Networks |
ISBN | 3-030-50788-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Designing and Developing Adaptive Instructional Systems -- Sensor-based Adaptive Instructional Systems in Live Simulation Training -- An Ambient & Pervasive Personalized Learning Ecosystem: “Smart Learning” in the Age of the Internet of Things -- Bridging Conceptual Models and Architectural Interchange for Adaptive Instructional Systems -- Dewey’s Ethics of Moral Principles and Deliberation: Extending IEEE’s Ethics Initiative for Adaptive Instructional Systems -- Realistic and Relevant Role-Players for Experiential Learning -- Learning Traces, Measurement and Assessment Templates for AIS Interoperability -- Supporting different Roles and Responsibilities in Developing and Using Context-based Adaptive Personalized Collaboration Environments Compliant to the Law -- Experiential Instruction of Metacognitive Strategies -- Falling Forward: Lessons Learned from Real-Life Implementation of Adaptive Learning Solutions -- Usability Dimensions of Simulated Trainers for Buried Explosives -- Toward Zero Authoring: Considering How to Maximize Courseware Quality and Affordability Simultaneously -- Agent-Based Methods in Support of Adaptive Instructional Decisions -- Representing Functional Relationships of Adaptive Instructional Systems in a Conceptual Model -- Knowledge-to-Information Translation Training (KITT): An Adaptive Approach to Explainable Artificial Intelligence -- User Rights and Adaptive A/IS – From Passive Interaction to Real Empowerment -- Supporting Metacognitive Learning Strategies through an Adaptive Application -- Towards Iteration by Design: An Interaction Design Concept for Safety Critical Systems -- Learner Modelling and Methods of Adaptation -- Bayesian Student Modelling in the AC&NL Tutor -- Nature at Your Service - Nature Inspired Representations Combined with Eye-gaze Features to Infer User Attention and Provide Contextualized Support -- Adapting Instruction by Measuring Engagement with Machine Learning in Virtual Reality Training -- Realizing the Promise of AI-Powered, Adaptive, Automated, Instant Feedback on Writing for Students in Grade 3-8 with an IEP -- Declarative Knowledge Extraction in the AC&NL Tutor -- On the Importance of Adaptive Operator Training in Human-Swarm Interaction -- The Mental Machine: Classifying Mental Workload State from Unobtrusive Heart Rate- measures Using Machine Learning -- Production Implementation of Recurrent Neural Networks in Adaptive Instructional Systems -- Pilot State Monitoring for Cursus Recommendation -- Experimental Evaluation of Heart-based Workload Measures as Related to Their Suitability for Real-time Applications -- EEG Covariance-based Estimation of Cooperative States in Teammates -- Adapting the Zone of Proximal Development to the Wicked Environments of Professional Practice -- An Adaptive Instructional System for the Retention of Complex Skills -- Learner Modeling in the Context of Caring Assessments -- Evaluating the Effectiveness of Adaptive Instructional Systems -- The Evolving Assessment Landscape and Adaptive Instructional Systems: Moving Beyond Good Intentions -- Contextual Barriers to Validity in Adaptive Instruction and Assessment -- Does Time Matter in Learning? A Computer Simulation of Carroll's Model of Learning -- Competency Development through Experiential Training: Mapping Scenarios with Assessments -- Does Gamification Work? Analyzing Effects of Game Features on Learning in an Adaptive Scenario-Based Trainer -- From “Knowing What” to “Knowing When”: Exploring a Concept of Situation Awareness Synchrony for Evaluating SA Dynamics in Teams -- Exploring Video Engagement in an Intelligent Tutoring System -- Using a Non-Player Character to Improve Training Outcomes for Submarine Electronic Warfare Operators -- The Impact of Adaptive Activities in Acrobatiq Courseware: Investigating the Efficacy of Formative Adaptive Activities on Learning Estimates and Summative Assessment Scores -- A Mastery Approach to Flashcard-based Adaptive Training. . |
Record Nr. | UNINA-9910413448003321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Adaptive Instructional Systems [[electronic resource] ] : First International Conference, AIS 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Orlando, FL, USA, July 26–31, 2019, Proceedings / / edited by Robert A. Sottilare, Jessica Schwarz |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (XXI, 664 p. 164 illus., 115 illus. in color.) |
Disciplina | 371.334 |
Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
Soggetto topico |
User interfaces (Computer systems)
Computers Application software Artificial intelligence User Interfaces and Human Computer Interaction Computing Milieux Computer Applications Artificial Intelligence |
ISBN | 3-030-22341-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Adaptive Instruction Design and Authoring -- Interoperability and Standardization in Adaptive Instructional Systems -- Instructional Theories in Adaptive Instruction -- Learner Assessment and Modelling -- AI in Adaptive Instructional Systems, Conversational Tutors. |
Record Nr. | UNINA-9910349314603321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Adaptive Instructional Systems [[electronic resource] ] : First International Conference, AIS 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Orlando, FL, USA, July 26–31, 2019, Proceedings / / edited by Robert A. Sottilare, Jessica Schwarz |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (XXI, 664 p. 164 illus., 115 illus. in color.) |
Disciplina | 371.334 |
Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
Soggetto topico |
User interfaces (Computer systems)
Computers Application software Artificial intelligence User Interfaces and Human Computer Interaction Computing Milieux Computer Applications Artificial Intelligence |
ISBN | 3-030-22341-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Adaptive Instruction Design and Authoring -- Interoperability and Standardization in Adaptive Instructional Systems -- Instructional Theories in Adaptive Instruction -- Learner Assessment and Modelling -- AI in Adaptive Instructional Systems, Conversational Tutors. |
Record Nr. | UNISA-996466074703316 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Adaptive instructional systems, adaptation strategies and methods : third international conference, AIS 2021, held as part of the 23rd HCI International Conference, HCII 2021, virtual event, July 24-29, 2021, proceedings, part II : third international conference, AIS 2021, held as part of the 23rd HCI International Conference, HCII 2021, virtual event, July 24-29, 2021, proceedings, part II / / Robert A. Sottilare, Jessica Schwarz (editors) |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
Descrizione fisica | 1 online resource (268 pages) |
Disciplina | 371.334 |
Collana | Lecture Notes in Computer Science |
Soggetto topico |
Computer-assisted instruction
Artificial intelligence Learning, Psychology of |
ISBN | 3-030-77873-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Foreword -- HCI International 2021 Thematic Areas and Affiliated Conferences -- Contents - Part II -- Contents - Part I -- Learner Modelling and State Assessment in AIS -- Helping Instructor Pilots Detect and Respond to Engagement Lapses in Simulations -- 1 Introduction -- 1.1 Supporting Instructors with Adaptive Learning -- 1.2 Exemplar Use Case: Pilot Training Next -- 2 Models of Engagement -- 2.1 General Model of Engagement -- 2.2 VR Influences on Engagement Metrics -- 3 Machine Learning Model Design and Training -- 3.1 Machine Learning Models -- 3.2 Model Training -- 4 Supporting Instructors: Adaptive Recommendations -- 4.1 Adaptive Recommendations Model -- 4.2 Adaptive Recommendation Methods -- 5 Model Performance -- 6 Conclusions and Future Work -- References -- Dynamic Analytics for the Detection of Quality and Alignment Issues in an Online Hybrid Adaptive Instructional and Assessment System -- 1 Introduction -- 2 Hybrid Adaptive Instruction and Assessment System -- 2.1 Instructional Module -- 2.2 Mastery Quiz Assessment -- 2.3 Progress Check Assessment -- 2.4 Screener Adaptive Diagnostic Assessment -- 3 Psychometric Methods for Detecting Misalignment of Instruction and Assessment and Checking Item Quality -- 4 Empirical Example -- 4.1 Data and Cleaning Rules -- 4.2 Application Procedure -- 4.3 Workflow Process from Data Analysis to Result Reporting -- 5 Conclusion -- References -- Predicting Literacy Skills via Stealth Assessment in a Simple Vocabulary Game -- 1 Introduction -- 1.1 iSTART -- 1.2 iSTART Games -- 1.3 Literacy Assessment for Personalized Training -- 1.4 Current Study -- 2 Methods -- 2.1 Participants -- 2.2 Procedure, Materials, and Measures -- 2.3 Statistical Analyses -- 3 Results -- 3.1 Principal Component Analysis -- 3.2 Descriptive Statistics of Predictor and Predicted Variables.
3.3 Hierarchical Linear Regressions -- 4 Discussion -- References -- Skill Mastery Measurement and Prediction to Adapt Instruction Strategies -- 1 Introduction -- 1.1 Background and Related Work -- 1.2 Current Study -- 2 Design of an Automated VACR Training Support System -- 2.1 Description of Different Candidate Tutors -- 2.2 Dynamic Bayesian Network (DBN) Algorithm to Track Aircraft Mastery -- 2.3 Study Aim and Research Questions -- 3 Method -- 3.1 Participants -- 3.2 Procedure -- 4 Results and Discussion -- 5 Conclusions -- 6 Future Work -- References -- Measuring Flow, Immersion and Arousal/Valence for Application in Adaptive Learning Systems -- 1 Introduction -- 2 Literature Review -- 2.1 Presence -- 2.2 Immersion -- 2.3 Flow -- 3 A Combined Model of Flow and Immersion -- 4 Measuring Flow and Immersion -- 4.1 Study Design -- 4.2 Physiological Measurements -- 4.3 Study and Results -- 5 Extending the Combined Flow/Immersion Model with Arousal/Valence -- 5.1 Measuring Intensity (Arousal)/Valence -- 6 Future Work -- References -- Modelling and Quantifying Learner Motivation for Adaptive Systems: Current Insight and Future Perspectives -- 1 Introduction -- 2 Research Background -- 2.1 Motivation -- 2.2 Persuasive Technology -- 3 Modelling of Motivation to Learn in Intelligent Tutoring Systems -- 3.1 Techniques for Learners' Motivational States Diagnosis in ITSs -- 3.2 Strategies and Features for Adapting to Learner Motivation -- 4 Proposed Architecture for Integrating Motivation Modelling into ITSs -- 5 Conclusion -- References -- Competency-Based Experiential-Expertise and Future Adaptive Learning Systems -- 1 Introduction -- 2 Discussion -- 2.1 Competency -- 2.2 Experiential-Expertise -- 3 Method -- 4 Conclusion and Recommendation -- References -- Early Prediction of At-Risk Students in a Virtual Learning Environment Using Deep Learning Techniques. 1 Introduction -- 2 Literature Study -- 3 Research Questions and Objectives -- 4 Methodology -- 5 Experimentation -- 5.1 OULA Dataset -- 5.2 Preprocessing of Dataset -- 5.3 Convolutional Neural Networks -- 6 Results and Discussions -- 7 Conclusion -- References -- An Experiential Competency Application Framework -- 1 Overview -- 1.1 Ecaf -- 2 Terms and Definitions -- 3 The State Model -- 3.1 Assertion Scores -- 3.2 Practice -- 3.3 Skill Decay -- 3.4 Spaced Repetition -- 3.5 ECAF State Function Calculation -- 4 Predictive Models -- 5 Training Model -- 6 ECAF Implementations -- 7 Analysis of Intelligent Tutoring Systems -- 8 Closing Remarks and Further Research -- References -- Individual Differences in the Relationship Between Emotion and Performance in Command-and-Control Environments -- 1 Introduction -- 1.1 Background -- 1.2 Hypotheses -- 2 Methodology -- 2.1 Sample Description -- 2.2 Experimental Task -- 2.3 Variables -- 2.4 Statistical Analysis -- 3 Results -- 3.1 Expected Results -- 3.2 Observed Results -- 4 Discussion -- 4.1 Individual Differences in the Relationship of Emotional Valence and Performance -- 4.2 The Importance of Multifactorial Detection of Emotional Arousal -- 4.3 Methodological Reasons -- 5 Conclusions -- References -- Using Principled Assessment Design and Item Difficulty Modeling to Connect Hybrid Adaptive Instructional and Assessment Systems: Proof of Concept -- 1 Introduction -- 1.1 Achievement Level Descriptors -- 1.2 Learning Progressions -- 1.3 Adaptive Systems -- 1.4 Evaluation of the Validity Framework -- 2 Purpose -- 3 Methods -- 4 Results -- 5 Conclusion and Discussion -- References -- Dynamic Cognitive Modeling for Adaptive Serious Games -- 1 Introduction -- 2 Related Work -- 3 Cognitive Architectures and E-Learning -- 4 Concept for User Modeling and Artificial Intelligence (UMAI). 5 Software Architecture, Implementation -- 6 Application and Results -- 6.1 Serious Game: Exercise Trainer (EXTRA) -- 6.2 Application of UMAI -- 7 Conclusion -- References -- Staying Ahead of the Curve: Selecting Students for Newly Arising Tasks -- 1 Introduction -- 2 Constructing a Data Set -- 2.1 The Students -- 2.2 The Tasks -- 2.3 Data Generation -- 2.4 Labelling the Students and Tasks -- 3 Student Selection Methods -- 3.1 Matrix Factorization -- 3.2 Neighborhood Model -- 3.3 Random Forest Regression -- 3.4 Baseline Recommenders -- 4 Method -- 5 Results -- 5.1 Global Split Results -- 5.2 Item Split Results -- 6 Discussion and Related Work -- References -- Designing a Learner Model for Use in Training Analysts in a Social Media Practice Environment -- 1 Introduction -- 2 Learner Modeling Background -- 2.1 Learner Assessment Characteristics -- 3 GLAsE Component Overview -- 3.1 Curriculum Model -- 3.2 Analysis Products Comparator -- 3.3 Learner Modeler -- 4 Proficiency Scoring -- 4.1 Proficiency Example -- 5 Mapping User Actions to Expert Plans -- 6 Conclusion and Next Steps -- References -- Measuring Cognitive Load for Adaptive Instructional Systems by Using a Pressure Sensitive Computer Mouse -- 1 Introduction -- 2 Materials and Methods -- 2.1 Participants -- 2.2 Materials -- 2.3 Experimental Design -- 2.4 Hypotheses -- 2.5 Procedure -- 2.6 Data Analysis -- 3 Results -- 3.1 Pressure -- 3.2 Click Duration -- 3.3 Click Frequency -- 3.4 NASA-TLX -- 3.5 Summary and Discussion -- 4 Conclusion -- References -- Measuring and Integrating Facial Expressions and Head Pose as Indicators of Engagement and Affect in Tutoring Systems -- 1 Introduction -- 2 Related Work -- 2.1 Affect-Aware and Gaze-Reactive Intelligent Tutoring System -- 2.2 Facial Expression Recognition -- 2.3 Head Pose Estimation -- 3 Tutoring System's Response to Students' Head Pose. 3.1 Method to Detect Student Head Pose -- 3.2 Experiment to Measure Student Head Pose -- 4 Teacher Dashboard to Inform Teachers -- 4.1 Method to Develop the Teacher Dashboard -- 4.2 Usability Study for the Teacher Dashboard -- 5 Discussion and Future Work -- 6 Conclusion -- References -- Enhancing Personalization by Integrating Top-Down and Bottom-Up Approaches to Learner Modeling -- 1 Introduction -- 2 Learner Modeling Approaches -- 3 Evidence Identification and Aggregation -- 4 Making Sense of Process Data -- 5 Improving Interpretability of Learner Models -- 6 Discussion -- 7 Future Work -- References -- Author Index. |
Record Nr. | UNINA-9910488724003321 |
Cham, Switzerland : , : Springer, , [2021] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Adaptive instructional systems, adaptation strategies and methods : third international conference, AIS 2021, held as part of the 23rd HCI International Conference, HCII 2021, virtual event, July 24-29, 2021, proceedings, part II : third international conference, AIS 2021, held as part of the 23rd HCI International Conference, HCII 2021, virtual event, July 24-29, 2021, proceedings, part II / / Robert A. Sottilare, Jessica Schwarz (editors) |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
Descrizione fisica | 1 online resource (268 pages) |
Disciplina | 371.334 |
Collana | Lecture Notes in Computer Science |
Soggetto topico |
Computer-assisted instruction
Artificial intelligence Learning, Psychology of |
ISBN | 3-030-77873-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Foreword -- HCI International 2021 Thematic Areas and Affiliated Conferences -- Contents - Part II -- Contents - Part I -- Learner Modelling and State Assessment in AIS -- Helping Instructor Pilots Detect and Respond to Engagement Lapses in Simulations -- 1 Introduction -- 1.1 Supporting Instructors with Adaptive Learning -- 1.2 Exemplar Use Case: Pilot Training Next -- 2 Models of Engagement -- 2.1 General Model of Engagement -- 2.2 VR Influences on Engagement Metrics -- 3 Machine Learning Model Design and Training -- 3.1 Machine Learning Models -- 3.2 Model Training -- 4 Supporting Instructors: Adaptive Recommendations -- 4.1 Adaptive Recommendations Model -- 4.2 Adaptive Recommendation Methods -- 5 Model Performance -- 6 Conclusions and Future Work -- References -- Dynamic Analytics for the Detection of Quality and Alignment Issues in an Online Hybrid Adaptive Instructional and Assessment System -- 1 Introduction -- 2 Hybrid Adaptive Instruction and Assessment System -- 2.1 Instructional Module -- 2.2 Mastery Quiz Assessment -- 2.3 Progress Check Assessment -- 2.4 Screener Adaptive Diagnostic Assessment -- 3 Psychometric Methods for Detecting Misalignment of Instruction and Assessment and Checking Item Quality -- 4 Empirical Example -- 4.1 Data and Cleaning Rules -- 4.2 Application Procedure -- 4.3 Workflow Process from Data Analysis to Result Reporting -- 5 Conclusion -- References -- Predicting Literacy Skills via Stealth Assessment in a Simple Vocabulary Game -- 1 Introduction -- 1.1 iSTART -- 1.2 iSTART Games -- 1.3 Literacy Assessment for Personalized Training -- 1.4 Current Study -- 2 Methods -- 2.1 Participants -- 2.2 Procedure, Materials, and Measures -- 2.3 Statistical Analyses -- 3 Results -- 3.1 Principal Component Analysis -- 3.2 Descriptive Statistics of Predictor and Predicted Variables.
3.3 Hierarchical Linear Regressions -- 4 Discussion -- References -- Skill Mastery Measurement and Prediction to Adapt Instruction Strategies -- 1 Introduction -- 1.1 Background and Related Work -- 1.2 Current Study -- 2 Design of an Automated VACR Training Support System -- 2.1 Description of Different Candidate Tutors -- 2.2 Dynamic Bayesian Network (DBN) Algorithm to Track Aircraft Mastery -- 2.3 Study Aim and Research Questions -- 3 Method -- 3.1 Participants -- 3.2 Procedure -- 4 Results and Discussion -- 5 Conclusions -- 6 Future Work -- References -- Measuring Flow, Immersion and Arousal/Valence for Application in Adaptive Learning Systems -- 1 Introduction -- 2 Literature Review -- 2.1 Presence -- 2.2 Immersion -- 2.3 Flow -- 3 A Combined Model of Flow and Immersion -- 4 Measuring Flow and Immersion -- 4.1 Study Design -- 4.2 Physiological Measurements -- 4.3 Study and Results -- 5 Extending the Combined Flow/Immersion Model with Arousal/Valence -- 5.1 Measuring Intensity (Arousal)/Valence -- 6 Future Work -- References -- Modelling and Quantifying Learner Motivation for Adaptive Systems: Current Insight and Future Perspectives -- 1 Introduction -- 2 Research Background -- 2.1 Motivation -- 2.2 Persuasive Technology -- 3 Modelling of Motivation to Learn in Intelligent Tutoring Systems -- 3.1 Techniques for Learners' Motivational States Diagnosis in ITSs -- 3.2 Strategies and Features for Adapting to Learner Motivation -- 4 Proposed Architecture for Integrating Motivation Modelling into ITSs -- 5 Conclusion -- References -- Competency-Based Experiential-Expertise and Future Adaptive Learning Systems -- 1 Introduction -- 2 Discussion -- 2.1 Competency -- 2.2 Experiential-Expertise -- 3 Method -- 4 Conclusion and Recommendation -- References -- Early Prediction of At-Risk Students in a Virtual Learning Environment Using Deep Learning Techniques. 1 Introduction -- 2 Literature Study -- 3 Research Questions and Objectives -- 4 Methodology -- 5 Experimentation -- 5.1 OULA Dataset -- 5.2 Preprocessing of Dataset -- 5.3 Convolutional Neural Networks -- 6 Results and Discussions -- 7 Conclusion -- References -- An Experiential Competency Application Framework -- 1 Overview -- 1.1 Ecaf -- 2 Terms and Definitions -- 3 The State Model -- 3.1 Assertion Scores -- 3.2 Practice -- 3.3 Skill Decay -- 3.4 Spaced Repetition -- 3.5 ECAF State Function Calculation -- 4 Predictive Models -- 5 Training Model -- 6 ECAF Implementations -- 7 Analysis of Intelligent Tutoring Systems -- 8 Closing Remarks and Further Research -- References -- Individual Differences in the Relationship Between Emotion and Performance in Command-and-Control Environments -- 1 Introduction -- 1.1 Background -- 1.2 Hypotheses -- 2 Methodology -- 2.1 Sample Description -- 2.2 Experimental Task -- 2.3 Variables -- 2.4 Statistical Analysis -- 3 Results -- 3.1 Expected Results -- 3.2 Observed Results -- 4 Discussion -- 4.1 Individual Differences in the Relationship of Emotional Valence and Performance -- 4.2 The Importance of Multifactorial Detection of Emotional Arousal -- 4.3 Methodological Reasons -- 5 Conclusions -- References -- Using Principled Assessment Design and Item Difficulty Modeling to Connect Hybrid Adaptive Instructional and Assessment Systems: Proof of Concept -- 1 Introduction -- 1.1 Achievement Level Descriptors -- 1.2 Learning Progressions -- 1.3 Adaptive Systems -- 1.4 Evaluation of the Validity Framework -- 2 Purpose -- 3 Methods -- 4 Results -- 5 Conclusion and Discussion -- References -- Dynamic Cognitive Modeling for Adaptive Serious Games -- 1 Introduction -- 2 Related Work -- 3 Cognitive Architectures and E-Learning -- 4 Concept for User Modeling and Artificial Intelligence (UMAI). 5 Software Architecture, Implementation -- 6 Application and Results -- 6.1 Serious Game: Exercise Trainer (EXTRA) -- 6.2 Application of UMAI -- 7 Conclusion -- References -- Staying Ahead of the Curve: Selecting Students for Newly Arising Tasks -- 1 Introduction -- 2 Constructing a Data Set -- 2.1 The Students -- 2.2 The Tasks -- 2.3 Data Generation -- 2.4 Labelling the Students and Tasks -- 3 Student Selection Methods -- 3.1 Matrix Factorization -- 3.2 Neighborhood Model -- 3.3 Random Forest Regression -- 3.4 Baseline Recommenders -- 4 Method -- 5 Results -- 5.1 Global Split Results -- 5.2 Item Split Results -- 6 Discussion and Related Work -- References -- Designing a Learner Model for Use in Training Analysts in a Social Media Practice Environment -- 1 Introduction -- 2 Learner Modeling Background -- 2.1 Learner Assessment Characteristics -- 3 GLAsE Component Overview -- 3.1 Curriculum Model -- 3.2 Analysis Products Comparator -- 3.3 Learner Modeler -- 4 Proficiency Scoring -- 4.1 Proficiency Example -- 5 Mapping User Actions to Expert Plans -- 6 Conclusion and Next Steps -- References -- Measuring Cognitive Load for Adaptive Instructional Systems by Using a Pressure Sensitive Computer Mouse -- 1 Introduction -- 2 Materials and Methods -- 2.1 Participants -- 2.2 Materials -- 2.3 Experimental Design -- 2.4 Hypotheses -- 2.5 Procedure -- 2.6 Data Analysis -- 3 Results -- 3.1 Pressure -- 3.2 Click Duration -- 3.3 Click Frequency -- 3.4 NASA-TLX -- 3.5 Summary and Discussion -- 4 Conclusion -- References -- Measuring and Integrating Facial Expressions and Head Pose as Indicators of Engagement and Affect in Tutoring Systems -- 1 Introduction -- 2 Related Work -- 2.1 Affect-Aware and Gaze-Reactive Intelligent Tutoring System -- 2.2 Facial Expression Recognition -- 2.3 Head Pose Estimation -- 3 Tutoring System's Response to Students' Head Pose. 3.1 Method to Detect Student Head Pose -- 3.2 Experiment to Measure Student Head Pose -- 4 Teacher Dashboard to Inform Teachers -- 4.1 Method to Develop the Teacher Dashboard -- 4.2 Usability Study for the Teacher Dashboard -- 5 Discussion and Future Work -- 6 Conclusion -- References -- Enhancing Personalization by Integrating Top-Down and Bottom-Up Approaches to Learner Modeling -- 1 Introduction -- 2 Learner Modeling Approaches -- 3 Evidence Identification and Aggregation -- 4 Making Sense of Process Data -- 5 Improving Interpretability of Learner Models -- 6 Discussion -- 7 Future Work -- References -- Author Index. |
Record Nr. | UNISA-996464524603316 |
Cham, Switzerland : , : Springer, , [2021] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
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