Note: Intro -- Contents -- Wikipedia as a Source of Ontological Knowledge: State of the Art and Application -- Toward a Methodology of Collaborative Modeling and Simulation of Complex Systems -- Evolving Schedules of Independent Tasks by Differential Evolution -- A Multi-lane Double Auction for Economic- Based Service Management in the Cloud -- Monitoring and Performance Analysis of Workflow Applications in Large Scale Distributed Systems -- Scaling Relations of Data Gathering Times in an Epidemically Data Sharing System with Opportunistically Communicating Mobile Sensors -- Multilaterally Secure Ubiquitous Auditing -- A Round-Based Cover Traffic Algorithm for Anonymity Systems -- Author Index.

Note: Front Cover -- Ethics in Online AI-based Systems -- Copyright Page -- Contents -- List of contributors -- Preface -- Part I. Ethical Implications of Artificial Intelligence in Applications for Education -- Part II. Ethical Implications of Artificial Intelligence in Autonomous Services and Systems -- Part III. Ethical Implications of Artificial Intelligence Models and Experiences -- Part IV. Ethical Implications of Artificial Intelligence in Social and Political Involvement -- Final words -- Acknowledgments -- I. Ethical implications of artificial intelligence in applications for education -- 1 Adverse effects of intelligent support of CSCL-the ethics of conversational agents -- Introduction -- Conversational agents for collaborative learners -- How can CSCL agents interact with the learner? -- Effectiveness, advantages, and limits of agents in CSCL -- From general ethical frameworks for AI-based systems to area-specific considerations for CSCL agent design -- Breaking down high-level frameworks: overlap or disjoint? -- Classifying human-agent communication -- Who should be adapting to whom in CSCL settings? -- AI ethics and pedagogical ethics: clashing perspectives? -- Conclusion -- References -- 2 Navigating the ethical landscape of multimodal learning analytics: a guiding framework -- Introduction -- Background and literature review -- Multimodal learning analytics: background, history, and aims -- The ethics of MMLA in education -- Methodology -- Participants -- Data collection -- Data analysis -- Result -- Theme 1: The emerging need for an ethical framework for MMLA -- Theme 2: Privacy, surveillance, and intrusiveness issues with MMLA -- Theme 3: Student agency over their learning and data ownership -- Theme 4: Trustworthiness of MMLA results -- Theme 5: Fairness and bias issues in MMLA systems. , Theme 6: MMLA systems' transparency and explainability -- Theme 7: MMLA systems' accountability -- Theme 8: Awareness level of benefits and risks associated with MMLA use -- Theme 9: Argued benefits of MMLA and the ethical issues of not using it -- Discussion -- Limitations and future work -- Conclusion -- Acknowledgments -- References -- 3 Ethics in AI-based online assessment in higher education -- Introduction -- The use of AI in online assessment -- Artificial intelligence -- AI in education -- AI in assessment -- AI-based assessment systems -- Automated grading -- Automated feedback -- Evaluation of assessment integrity -- Learning and assessment analytics -- Ethics of AI in online assessment -- Ethics -- Ethics of educational technology -- Ethics of AI -- Moral and ethical implications of assessment -- General moral implications of assessment -- General challenges of introducing AI into assessment -- Ethics of AI-based assessment scenarios -- Ethical dimensions of AI-automated grading and feedback -- Ethical dimensions of AI-based assessment supervision -- Ethical challenges for learning and assessment analytics -- Frameworks to mitigate potential ethical risks of AI-based assessment -- Conclusion -- References -- 4 Ethical aspects of automatic emotion recognition in online learning -- Introduction -- Emotions, affective learning, and ethical implications -- Ethical guidelines and frameworks -- Automatic emotion recognition in education: roles, benefits, and ethical risks -- Ethical automatic emotion recognition model for online learning -- Case studies and use case -- Discussion and conclusions -- Acknowledgment -- References -- 5 Data-driven educational decision-making model for curriculum optimization -- Introduction -- Decision-making process and AI implementation -- The holistic approach to curriculum design and classification. , Classification methodologies for qualitative indicators -- Sentiment analysis methodologies for qualitative indicator analysis -- Bayes classifier -- Maximum entropy algorithm -- Support vector machines -- Indicators and learning management system (LMS) as technical basis for holistic approach -- K-nearest neighbor kNN in strategic budget planning -- LinkedIn and Google Scholar Big Data system for support of human resource procedure -- Part of the decision-making AI system that raises ethical issues and applicable ethical frameworks -- Conclusion -- References -- II. Ethical implications of artificial intelligence in autonomous services and systems -- 6 The ethical issues raised by the use of Artificial Intelligence products for the disabled: an analysis by two disabled people -- Introduction -- Literature review -- Methodology -- Peter -- Peter's diary -- Laura -- Laura's diary -- Discussion and reflection -- Conclusions -- Next steps -- References -- 7 The implications of ethical perspectives in AI and autonomous systems -- Introduction -- Background -- Artificial intelligence trend -- The worldview of ethics associated with AI systems -- Algorithmic ethics -- What is technoethics? -- Methodology -- Technoethical inquiry approach -- Problem statement -- Research questions -- Results -- The perspectives -- Historical -- Theoretical -- Political -- Legal -- Economic -- Sociocultural -- Levels of influence -- Stakeholders -- Intended ends -- Possible side effects -- Means -- Fairness -- Transparency -- Trustworthiness -- Accountability -- Efficiency and fairness -- Advanced analysis and discussion -- Conclusions -- References -- 8 The ethics of online AI-driven agriculture and food systems -- Introduction -- Current trends and future applications of online-based AI in agricultural and food systems -- Crop production -- Weed management. , Pest and disease detection -- Fruit and vegetable harvesting -- Animal production -- Food processing and related operations -- Food supply chain and traceability -- Food safety -- Potential ethical risks of AI technological advancements in agriculture and food systems -- (Cyber)Security -- Privacy -- Data ownership -- Accountability/responsibility -- Fairness -- Transparency -- Preventing and mitigating potential ethical risks of online AI systems in the agri-food sector -- Responsible innovation -- Conscientious design -- Interdisciplinary and multistakeholder engagement -- Legislation -- Teaching AI ethics -- Conclusion -- References -- 9 AI and grief: a prospective study on the ethical and psychological implications of deathbots -- Continuing bonds, technological mediation, and ethical implications in grief -- Examining the imagined use of deathbots: a prospective study -- Phones, Internet, and social networks: a naturalized copresence? -- Deathbots: the expectation of response and the authenticity of the relationship -- Discussing the potential ethical risks of deathbots -- Conclusions: imagining the future of deathbots -- Acknowledgments -- References -- III. Ethical implications of artificial intelligence models and experiences -- 10 Pitfalls (and advantages) of sophisticated large language models -- Introduction -- Background -- Hard to distinguish -- Human discrimination abilities -- Discrimination with the help of detection software -- Ethical consequences -- How to verify authorship -- New forms of plagiarism -- Violation of copyright rights and privacy -- Counterfeits of people -- Spread of misinformation, nonsense, and toxic language -- How to handle the epistemological crisis -- LLMs as thinking tools -- References -- 11 Perspectives on the ethics of a VR-based empathy experience for educators -- Introduction -- Background. , Virtual reality -- The brain and the perception of reality in VR -- The proteus effect -- VR as an empathy machine -- Methods -- The application-walking in small shoes -- Study design -- The design -- Ethics, empathy, and emotion -- Reflections and discussion -- Reflection #1 -- VR as an empathy machine -- Reflection #2 -- Empathy by design -- Reflection #3 -- Insights into ethics and AI in VR-based systems -- Conclusion -- References -- 12 Assessing and implementing trustworthy AI across multiple dimensions -- Introduction -- Background -- Trustworthy AI -- Definition of trustworthy AI -- Relevant regulations -- Data protection regulations -- AI regulations -- Relation to ethics -- The pillars of trustworthy AI -- Privacy -- Relevance -- Definitions and metrics -- Security and reliability -- Relevance -- Definitions and metrics -- Fairness -- Relevance -- Definitions and metrics -- Explainability -- Relevance -- Definitions and metrics -- Transparency and governance -- Relevance -- Definitions and metrics -- Quality -- Relevance -- Definitions and metrics -- Model risk assessment -- Relevant use cases -- Qualitative risk assessment -- Quantitative risk assessment -- Qualitative versus quantitative assessment -- Methodology -- Elicitation of requirements -- Technical solutions within each pillar of trustworthy AI -- Security and reliability -- Assessment -- Mitigation -- Available tools -- Relevance to HR use case -- Fairness -- Assessment -- Mitigation -- Available tools -- Relevance to HR use case -- Explainability -- Assessment -- Mitigation -- Available tools -- Relevance to HR use case -- Transparency and governance -- Mitigation -- Available tools -- Relevance to HR use case -- Quality -- Assessment -- Available tools -- Relevance to HR use case -- AI privacy -- Risk assessment of models and datasets -- Available tools. , Creation of privacy-preserving models.

Note: Intro -- Welcome Message from 3PGCIC-2017 Organizing Committee -- Welcome Message from 3PGCIC-2017 Workshops Chairs -- 3PGCIC-2017 Organizing Committee -- Honorary Chairs -- General Co-chairs -- Program Committee Co-chairs -- Workshop Co-chairs -- Web Administrator Chairs -- Local Organizing Co-chairs -- Steering Committee Co-chairs -- Track Areas -- 1. Data Intensive Computing, Data Mining, Semantic Web and Information Retrieval -- Chairs -- PC Members -- 2. Data Storage in Distributed Computation and Cloud Systems -- Chairs -- PC Members -- 3. Secure Technology for Distributed Computation and Sensor Networks -- Chairs -- PC Members -- 4. High Performance and Scalable Computing -- Chairs -- PC Members -- 5. Distributed Algorithms and Models for P2P, Grid, Cloud and Internet Computing -- Chairs -- PC Members -- 6. Bio-inspired Computing and Pattern Recognition -- Chairs -- PC Members -- 7. Cognitive Systems -- Chairs -- Sec29 -- 8. Adaptive Web-Based, Distributed and Ubiquitous eLearning Systems -- Chairs -- PC Members -- 9. Knowledge-Based Stream Processing and Analytics -- Chairs -- PC Members -- 10. IoT Computing Systems -- Chairs -- PC Members -- 3PGCIC-2017 Reviewers -- Welcome Message from SMECS-2017 Workshop Organizer -- SMECS-2017 Program Committee -- Workshop Organizer -- PC Chair -- PC Members -- Welcome Message from MDMS-2017 Workshop Organizers -- SMDMS-2017 Program Committee -- Workshop Chair -- International Liaison Chair -- Program Committee Members -- Welcome Message from MWVRTA-2017 Workshop Organizers -- MWRTA-2017 Program Committee -- Workshop Co-chairs -- Program Committee Members -- Welcome Message from ALICE-2017 Workshop Organizers -- ALICE-2017 Program Committee -- Workshop Organizers -- PC Members -- Welcome Message from CADSA-2017 Workshop Organizer -- CADSA-2017 Program Committee -- Workshop Chair. , Program Committee Members -- Welcome Message from DEM-2017 Workshop Organizers -- DEM-2017 Program Committee -- Workshop Chair -- Program Committee Members -- Welcome Message from SiPML-2017 Workshop Organizers -- SiPML-2017 Program Committee -- Workshop Chairs -- Program Committee -- 3PGCIC-2017 Keynote Talks -- InterCloud and HetNet for Mobile Cloud Computing in 5G Systems: Design Issues, Challenges, and Optimization -- Advancements in Internet of Things (IoT) -- Design Challenges and Importance of Fog Computing over Cloud Computing -- Intelligent Virtual Agents for Education and Training -- Contents -- The 12th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC-2017) -- Home Energy Management by Differential Evolution and Enhanced Differential Evolution in Smart Grid Environment -- 1 Introduction -- 2 Related Work -- 3 Problem Statement -- 4 System Model -- 4.1 Optimization Techniques -- 5 Simulations and Discussions -- 6 Conclusion and Future Work -- References -- Demand Side Optimization in Smart Grid Using Harmony Search Algorithm and Social Spider Algorithm -- 1 Introduction -- 2 Related Work -- 3 Problem Statement -- 4 Proposed Scheme -- 4.1 Classification -- 4.2 Pricing Scheme -- 4.3 Techniques -- 5 Simulations and Results -- 6 Conclusion -- References -- Home Energy Management Using Social Spider and Bacterial Foraging Algorithm -- 1 Introduction -- 2 Related Work -- 3 Problem Statement -- 4 System Model -- 4.1 Harmony Search Algorithm -- 4.2 Firefly Algorithm -- 5 Simulations and Discussions -- 6 Conclusion -- References -- Optimization of Home Energy Management System Through Application of Tabu Search -- 1 Introduction -- 2 Related Work -- 3 Proposed System -- 3.1 HSA -- 3.2 TS -- 3.3 Electricity Consumption Pattern -- 3.4 Proposed System -- 4 Performance Evaluation and Analysis. , 5 Conclusion and Future Work -- References -- Load Scheduling in Home Energy Management System Using Meta-Heuristic Techniques and Critical Peak Pricing Tariff -- 1 Introduction -- 2 Related Work -- 3 Proposed System Model -- 3.1 System Description -- 3.2 Energy Consumption Model -- 3.3 Classification of Appliances -- 3.4 Pricing Scheme Model -- 3.5 Problem Formulation -- 3.6 HSA -- 3.7 FPA -- 4 Simulations and Results -- 5 Conclusion -- References -- Energy Efficiency Using Genetic and Crow Search Algorithms in Smart Grid -- 1 Introduction -- 2 Related Work -- 3 Problem Statement -- 4 Proposed Scheme -- 4.1 Categorization of Appliances -- 4.2 Techniques -- 4.3 Pricing Scheme -- 5 Results and Simulations -- 6 Conclusion and Future Work -- References -- Residential Demand Side Management in Smart Grid Using Meta-Heuristic Techniques -- 1 Introduction -- 2 Related Work -- 2.1 Hybrid Techniques -- 2.2 Dynamic Programming Techniques -- 2.3 Evolutionary Techniques -- 2.4 Linear and Fractional Programming Techniques -- 2.5 Other Techniques -- 3 Proposed System Model -- 4 Proposed Methodology -- 4.1 Genetic Algorithm -- 4.2 Crow Search Algorithm -- 5 Results and Discussion -- 6 Conclusion and Future Work -- References -- A Machine Learning Approach for Ranking in Question Answering -- 1 Introduction -- 2 Related Work -- 3 General Approach -- 3.1 Random Forest -- 3.2 Multi-Layer Perceptron (MLP) -- 3.3 Support Vector Machine -- 3.4 Logistic Regression -- 3.5 Experimental Results -- 4 Conclusions -- References -- Detecting Malware Based on Opcode N-Gram and Machine Learning -- Abstract -- 1 Introduction -- 2 Related Work -- 3 System Architecture -- 4 Opcode N-Gram Extraction and Feature Selection -- 4.1 Representing Executables Using Opcode -- 4.2 Feature Selection -- 5 SVM Classifier for Malware Prediction -- 6 Evaluation -- 6.1 Research Questions. , 6.2 Evaluation Measures -- 7 Experimental Result and Analysis -- 7.1 Opcode N-Gram Size -- 7.2 Feature Selection -- 7.3 Malicious Files Percentage -- 8 Conclusion and Future Work -- Acknowledgments -- References -- Performance Evaluation of WMNs by WMN-PSOSA Simulation System Considering Constriction and Linearly Decreasing Vmax Methods -- 1 Introduction -- 2 Node Placement Problem in WMNs -- 3 Proposed and Implemented Simulation System -- 3.1 PSO Algorithm -- 3.2 Simulated Annealing -- 4 Simulation Results -- 5 Conclusions -- References -- Characterizing User Influence Within Twitter -- 1 Introduction -- 2 Related Work -- 3 Our Proposed Approach -- 4 Performance Evaluation -- 5 Conclusion and Future Work -- References -- Routing in a DTN: Performance Evaluation for Random Waypoint and Steady State Random Waypoint Using NS3 Simulator -- 1 Introduction -- 2 DTNs and Routing Protocols -- 2.1 DTN Overview -- 2.2 Routing Protocols -- 3 Simulation System Design -- 3.1 NS3 -- 3.2 Simulated Scenarios -- 4 Simulation Results -- 5 Conclusions -- References -- Optimal Residential Load Scheduling Under Utility and Rooftop Photovoltaic Units -- 1 Introduction -- 2 Related Work and Motivation -- 3 System Model -- 4 Simulation Results and Discussion -- 4.1 Energy Consumption Behavior of Appliances -- 4.2 Electricity Cost per Timeslot Analysis -- 4.3 PAR Analysis -- 4.4 Total Cost Analysis -- 5 Conclusion -- References -- A Hybrid Genetic Based on Harmony Search Method to Schedule Electric Tasks in Smart Home -- 1 Introduction -- 2 Related Work -- 3 Proposed System Model -- 4 Proposed Scheduling Algorithm -- 4.1 Genetic Algorithm -- 4.2 Harmony Search Algorithm -- 4.3 A Hybrid Genetic Based on Harmony Search -- 5 Simulations and Discussions -- 6 Conclusion -- References -- An Efficient Home Energy Management Scheme Using Cuckoo Search -- 1 Introduction. , 2 Related Work -- 3 System Model -- 3.1 Assortment of Load -- 4 Proposed Schemes -- 4.1 GA -- 4.2 Cuckoo Search -- 5 Simulations and Discussions -- 6 Conclusion -- References -- Phonetics-Based Parallel Privacy Preserving Record Linkage -- 1 Introduction -- 2 Related Work -- 3 Problem Formulation and Background -- 3.1 Problem Formulation -- 3.2 Phonetic Algorithms for Matching -- 3.3 Apache Spark -- 4 A Parallel Privacy Preserving Phonetics Matching Protocol -- 4.1 Protocol Operation -- 4.2 Privacy Discussion -- 5 Empirical Evaluation -- 5.1 Experimental Setup -- 5.2 Experimental Results -- 6 Conclusions and Future Work -- References -- Improved Ant Colony RBF Spatial Interpolation of Ore Body Visualization Software Development -- Abstract -- 1 Introduction -- 2 Methodology -- 2.1 RBF -- 2.2 Improved Ant Colony Radial Basis Model -- 3 Empirical Results -- 4 Conclusions -- Acknowledgement -- References -- RBF Model Based on the KECDBN -- Abstract -- 1 Introduction -- 2 CDBN and KECDBN -- 2.1 CDBN -- 2.2 KECDBN -- 2.3 The Radial Basis Function Neural Network -- 3 The Empirical Study -- 3.1 The Determination of the Structure of KECDBN -- 3.2 The Empirical Results -- 4 Conclusions -- Acknowledgement -- References -- Design of a S-box for SMS4 Based on Threshold Implementation -- Abstract -- 1 Introduction -- 2 Preliminaries -- 2.1 SMS4 Block Cipher -- 2.2 DPA -- 3 Threshold Implementation of the SMS4 S-Box -- 3.1 TI Resists DPA Attack Principle -- 3.2 Implementation Scheme of S-Box SM4 -- 4 Conclusion -- References -- The Prediction Model of Online Social Networks' Evolution Based on the Similarity of Community -- Abstract -- 1 Introduction -- 2 Related Knowledge -- 2.1 Overlapping Community -- 2.2 Dynamic Network -- 2.3 Community Similarity -- 2.4 WS Small-World Network -- 3 Model Building -- 3.1 Formation -- 3.2 Dissolve -- 3.3 Merging -- 3.4 Splitting. , 4 Experimental Results and Analysis.

Note: Title Page -- Preface -- Acknowledgements -- Contents -- User-Centred Evaluation and Organisational Acceptability of a Distributed Repository to Support Communities of Learners -- Introduction -- Background -- Context -- Related Work -- Introduction to EERN and DELTA -- Methodological Background -- EERN/DELTA Goals -- DELTA/EERN Architecture -- DELTA's User Interface -- Methods Used in Phase 1 and Phase 2 -- Phase 1: EERN Evaluation and Analysis -- Phase 2: UBERN Evaluation and Analysis -- Results and Discussion -- Phase 1: EERN -- Phase 2: UBERN -- Towards a Fully Decentralized Learning Repository -- Summative Evaluation and Conclusions -- Future Work -- References -- Facebook as a Collaborative Platform in Higher Education: The Case Study of the Universitat Oberta de Catalunya -- Introduction -- State of the Art -- Open Social Learning and 2.0 Social Networks -- Uses of Facebook in Higher Education: Background -- Objectives -- The Learning Methodology -- Assessment Methodologies -- Analysis of the Experience at a Quantitative Level -- Qualitative Approach: A Virtual Ethnography in the Facebook Context -- Results -- Conclusions -- References -- Development and Implementation of an Enterprise Learning Architecture for Collaborative Learning -- Introduction -- E-Warehouse: A Framework For Learning -- Implementation of Collaborative Environment -- Curriculum Development -- Pedagogical Materials and Data Warehouse -- Assessment of Student Learning -- Sample Learning Context -- Learning Pillars -- Description of the SCM Pillar -- Description of the PLM Pillar -- Integration with Other Learning Pillars: E-Warehouse Roof: SCM / PLM Integration -- Management Environment for E-Warehouse -- Design -- Creating a Learning Pillar Using AdminTool -- Future Work -- Conclusions -- References. , A Rational Framework for Student Interactions with Collaborative Educational Systems -- Introduction -- A Rational Model of Procrastination -- The Impact of Procrastination on Collaboration -- Data -- Measurement -- Results -- Increased Activity -- Diminished Performance -- Efforts to Overcome Low Performance -- A Few Illustrative Cases -- Discussion and Conclusions -- References -- Interaction Analysis as a Tool for Supporting Collaboration: An Overview -- Introduction -- Analysis and Evaluation for the Support of Collaborative Learning Activities -- A Framework for Interaction Analysis and Evaluation Techniques -- Top-Down Automatic Interaction Analysis Techniques -- Automated Interaction Analysis Based on Event Logs -- Automated Interaction Analysis Based on Event Logs and a Priori Annotations of Verbal Content -- Interaction Analysis Techniques with the Aid of Human Evaluators -- Coding schemes -- Rating schemes -- Trained Automatic Interaction Analysis Based on Human Evaluations -- Automated Interaction Analysis Trained on Coded Data -- Automated Interaction Analysis Trained on Rated Data -- Conclusions -- References -- CLFP Intrinsic Constraints-Based Group Management of Blended Learning Situations -- Introduction -- Flexible Solutions for Supporting CSCL Scripts -- Flexibility as Disjunction of Intrinsic and Extrinsic Constraints -- Limitations in Supporting Group Management in Collaborative Blended Learning Scenarios -- Considering the Intrinsic Constraints of Two IMS LD CLFPs -- Flexibility Constraints for TAPPS and Jigsaw -- Jigsaw and TAPPS CLFPs -- Representing the Intrinsic Constraints with IMS LD -- Supporting Flexibility for Group Management: A Web-Based Tool -- A Web-Based Application -- The Architecture -- Preliminary User Study Evaluation -- Description of the User Study -- Results -- Future Developments. , Conclusion and Future Work -- References -- A Pedagogical Approach for Collaborative Ontologies Building -- Introduction to Collaborative Learning Ontology -- About Collaborative Building of Ontologies -- Collaborative Ontology Authoring Tools -- Social Space for Ontology Maturing and Nurturing -- A CSCL Driven Model for Collaborative Ontology Construction and Maturing -- Top Down Approach for the Collaborative Ontology Construction: To Increase the Value of Teachers' Contribution -- Collaborative Ontology Construction Scenarios -- A Tool for the Collaborative Building of Ontologies -- Bottom Up Collaborative Ontologies Building: To Increase the Value of Students' Contribution -- Ontology Extraction and Validation from a Semantic Space -- Assessment of the Contribution Derived by Group Activities over Terms and Concepts Defined in Educational Ontology -- Text Analysis, Network Text Analysis and Ontology Comparison -- Conclusions -- References -- A Model-Based Approach to Designing Educational Multiplayer Video Games -- Introduction -- The VGSCL System -- Goals -- Tasks -- Interaction -- Modeling the VGSCL System -- Models of Educational Content -- Models for Recreational Content -- Model to Relate Educational and Recreational Contents: The General Tasks and Goals Model -- User Modeling -- Recording Information in the Models -- Conclusions and Further Work -- References -- A Framework to Foster Collaboration between Students through a Computer Supported Collaborative Learning Environment -- Introduction -- On Adapting Collaborative Frameworks -- Component-Based Adaptive Framework -- Adaptation to Foreseeable Situations -- Adaptation for Unforeseen Situations -- From the Framework to a Prototype -- Framework Components Mapping -- Implementation Details for the Prototype -- Formative Evaluation of the Prototype -- Experience Description. , Information Obtained from the Questionnaires -- Conclusions and Future Work -- References -- Apt to Adapt: Micro- and Macro-Level Adaptation in Educational Games -- Introduction -- Around an Inspiring Virtual Learning World -- Micro Level Assessment -- Micro Level Interventions -- Meta-cognitive Interventions -- Cognitive Interventions -- Motivational Interventions -- Adaptation by Interactive Storytelling -- Collaborative Learning -- Conclusions and Outlook -- References -- A Collaborative and Adaptive Design Pattern of the Jigsaw Method within Learning Design-Based E-Learning Systems -- Introduction -- The Rationale -- LAMS -- The Jigsaw Collaborative Method -- Adaptation -- Design of the Jigsaw Adaptive Online Learning Activity -- Summary and Future Research Plans -- References -- Recommendation of Learning Material through Students´ Collaboration and User Modeling in an Adaptive E-Learning Environment -- Introduction -- Related Works -- AdaptWeb® Environment -- Integrating Recommendation Mechanism to AdaptWeb® -- Multi-Criteria Ontology for Learning Materials -- The Collaboration Process -- Scenario of Use -- Conclusions -- References -- Modeling Adaptation Patterns in the Context of Collaborative Learning: Case Studies of IMS-LD Based Implementation -- Introduction -- Background -- Adaptation Patterns: Adaptivity in Systems for Collaborative Learning -- Modeling Adaptation Patterns -- The Basics of LD: Adaptivity Capabilities and Limitations -- IMS-LD and APs Case Studies: APs Expressed in IMS-LD -- Advance the Advanced -- Lack of Confidence -- Group Heterogeneity Based on Prior Domain Knowledge -- Discussion and Future Work -- Conclusion -- References -- Author Index.

Note: Intro -- Preface -- Final Words -- Acknowledgements -- Contents -- List of Acronyms -- 1 Predictive Analytics: Another Vision of the Learning Process -- Abstract -- 1 Introduction -- 2 Previous Work -- 3 Predictive System -- 3.1 Predictive Models and Machine Learning -- 3.2 Predictive Models in Educational Contexts -- 3.3 Design of a Predictive Analytics System -- 4 Generic Predictive Analytics System -- 4.1 Module to Gather Evidences -- 4.2 Module to Create Predictive Models -- 4.3 Module to Update Datasets -- 4.4 Module to Generate Predictions -- 5 Experimental Results -- 5.1 Configuration of the Validation Experiment -- 5.2 Analysis of the Simulation Results in Computer Fundamentals -- 5.3 Analysis of the Simulation Results in Computer Structure -- 6 Conclusions -- Acknowledgements -- References -- A Procedural Learning and Institutional Analytics Framework -- 1 Introduction -- 2 Background -- 2.1 Key Concepts -- 2.2 Applications and Frameworks -- 3 Proposed Framework -- 3.1 Organizational Needs and Objectives -- 3.2 Data -- 3.3 Analysis -- 3.4 Actions -- 4 Application of the Framework -- 5 Discussion -- 6 Conclusion and Future Directions -- References -- 3 Engagement Analytics: A Microlevel Approach to Measure and Visualize Student Engagement -- Abstract -- 1 Introduction -- 2 State of the Art -- 2.1 Granularity of Measurement -- 2.2 Student Engagement Instruments -- 2.3 Self-Reported Data -- 3 Towards a Microlevel Approach -- 4 A Case Study in Programming -- 4.1 Measuring Cognitive Engagement -- 4.2 Measuring Emotional Engagement -- 5 Discussion, Limitations and Future Work -- 6 Conclusions -- References -- Learning Analytics in Mobile Applications Based on Multimodal Interaction -- 1 Introduction -- 2 Background -- 2.1 Multimodal Mobile Interaction -- 2.2 Mobile Sensing -- 2.3 Learning Analytics. , 2.4 Barriers for Creating Context-Aware Mobile Learning Apps -- 3 Designing Multimodal Learning Apps with Analytics Support -- 3.1 Visual Environment for Designing Interactive Learning Scenarios -- 3.2 Supporting LA in VEDILS -- 4 Case Study -- 4.1 Application Design -- 4.2 Evaluation -- 5 Conclusions -- References -- 5 Increasing the Role of Data Analytics in m-Learning Conversational Applications -- Abstract -- 1 Introduction -- 2 Educative Conversational Interfaces: The Role of Data Analytics -- 3 Proposed Framework -- 3.1 Main Components -- 3.2 Use of Data Analytics -- 4 Practical Educative Application -- 5 Preliminary Evaluation -- 6 Conclusions and Future Work -- References -- 6 Enhancing Virtual Learning Spaces: The Impact of the Gaming Analytics -- Abstract -- 1 Introduction and Motivation -- 2 Background and Literature Review -- 2.1 Learning Analytics and Game Analytics -- 2.2 Visualization -- 3 Research Motivation -- 4 Proposed Approach -- 4.1 Front-End Interface -- 5 Game Project Manager -- 6 Scenes Manager -- 7 Scene Editor -- 8 3D Asset Manager -- 8.1 How a Generated Game Looks like -- 8.2 What the Educator Can Do with the Virtual Labs Authoring Tool Using the "Energy" Lab Template -- 8.3 Learner Actions Allowed in the Produced Games -- 8.4 Visualization of Deep and Shallow Analytics -- 8.5 Measured Data -- 9 Validation -- 10 Discussion -- 11 Conclusions -- Acknowledgements -- References -- 7 Advice for Action with Automatic Feedback Systems -- Abstract -- 1 Introduction -- 2 The Role of Feedback in Teaching and Learning -- 3 Feedback Problems and Progress with Automatic Feedback -- 4 OpenEssayist -- 5 Open Comment -- 5.1 Pedagogical Principles Driving the Feedback Engine -- 6 Open Mentor -- 6.1 Questions Which Tested the Underlying Pedagogical Model for Open Mentor -- 7 Conclusions -- 8 Future Work -- Acknowledgements -- References. , 8 Towards Full Engagement for Open Online Education. A Practical Experience from MicroMasters at edX -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Framework Proposal -- 3.1 Case Study -- 3.2 The FEEF Concept -- 3.3 The Components of the FEEF -- 3.4 The FEEF Expected Results -- 4 Framework Validation and First Results -- 5 Conclusions and Future Work -- Acknowledgements -- References -- A Data Mining Approach to Identify the Factors Affecting the Academic Success of Tertiary Students in Sri Lanka -- 1 Introduction and Motivation -- 2 Background and Literature Review -- 2.1 Knowledge Discovery in Databases (KDD) -- 2.2 Data Mining Methods and Algorithms -- 2.3 Educational Data Mining -- 2.4 Recent Studies Using Educational Data Mining Methods -- 2.5 Significance of the Proposed Method -- 3 Problem Statement -- 4 Research Methodology -- 4.1 Understanding the Data -- 4.2 Data Preparation -- 4.3 Data Mining -- 4.4 Null Hypothesis -- 4.5 Alternative Hypothesis -- 5 Conclusion -- 6 Future Work -- References -- Evaluating the Acceptance of e-Learning Systems via Subjective and Objective Data Analysis -- 1 Introduction -- 2 e-Learning Management Systems -- 2.1 On-premise Software -- 2.2 Cloud-Based SaaS -- 3 Adoption of e-Learning Systems -- 3.1 Ease of Use and Usability -- 3.2 Usefulness and Utility -- 3.3 Social Influence -- 4 Acceptance Evaluation Methods -- 4.1 Subjective Methods -- 4.2 Objective Methods -- 5 Conclusions -- References -- Glossary -- Index.