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Intelligent Tutoring Systems: 10th International Conference, ITS 2010, Pittsburgh, PA, USA, June 14-18, 2010, Proceedings, Part I de Vincent Aleven

Intelligent Tutoring Systems: 10th International Conference, ITS 2010, Pittsburgh, PA, USA, June 14-18, 2010, Proceedings, Part I: Lecture Notes in Computer Science, cartea 6094

Editat de Vincent Aleven, Judy Kay, Jack Mostow
en Limba Engleză Paperback – iun 2010

Găsim în acest volum, ce ia forma unui manual de cercetare și conferință, o sinteză riguroasă a progreselor înregistrate în domeniul tehnologiilor educaționale adaptive. Ca parte a seriei Lecture Notes in Computer Science, lucrarea documentează ediția aniversară a 10-a a conferinței ITS, punând accent pe conceptul de „punți către învățare”. Apreciem în mod deosebit caracterul interdisciplinar al selecției, care îmbină perspective din informatică, psihologie cognitivă și inteligență artificială pentru a aborda nevoile utilizatorilor individuali sau de grup.

Structura primei părți a volumului este organizată strategic, începând cu prelegeri invitate despre impactul tehnologiei în școli și continuând cu analize tehnice profunde. Descoperim secțiuni esențiale despre „Educational Data Mining”, unde sunt prezentate modele de predicție a corectitudinii în rezolvarea problemelor, și despre „Natural Language Interaction”, care explorează generarea automată de întrebări și recunoașterea vocală în cazul copiilor. Această organizare reflectă o progresie de la fundamentul teoretic și etic către aplicații computaționale concrete.

Comparabil cu Artificial Intelligence in Education de Cristina Conati în ceea ce privește rigoarea academică și procesul strict de selecție, acest volum se distinge prin focalizarea pe sistemele de tutorat care mediază activ procesul de învățare, spre deosebire de abordările mai largi ale AI în educație. De asemenea, lucrarea completează temele explorate de editori în International Handbook of Metacognition and Learning Technologies, mutând accentul de la procesele metacognitive ale studentului către arhitectura tehnică a sistemelor care le susțin.

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Specificații

ISBN-13: 9783642133879
ISBN-10: 3642133878
Pagini: 468
Ilustrații: XXX, 437 p. 97 illus.
Greutate: 0.68 kg
Ediția:2010
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Programming and Software Engineering

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Professional/practitioner

De ce să citești această carte

Această resursă este esențială pentru cercetătorii și practicienii din domeniul tehnologiei educaționale. Cititorul câștigă acces la metodologii validate de „data mining” educațional și strategii de interacțiune prin limbaj natural, oferind o bază solidă pentru dezvoltarea sistemelor de învățare adaptivă. Este un punct de referință pentru înțelegerea modului în care inteligența artificială poate personaliza experiența de instruire.

Descriere scurtă

The 10th International Conference on Intelligent Tutoring Systems, ITS 2010, cont- ued the bi-annual series of top-flight international conferences on the use of advanced educational technologies that are adaptive to users or groups of users. These highly interdisciplinary conferences bring together researchers in the learning sciences, computer science, cognitive or educational psychology, cognitive science, artificial intelligence, machine learning, and linguistics. The theme of the ITS 2010 conference was Bridges to Learning, a theme that connects the scientific content of the conf- ence and the geography of Pittsburgh, the host city. The conference addressed the use of advanced technologies as bridges for learners and facilitators of robust learning outcomes. We received a total of 186 submissions from 26 countries on 5 continents: Aust- lia, Brazil, Canada, China, Estonia, France, Georgia, Germany, Greece, India, Italy, Japan, Korea, Mexico, The Netherlands, New Zealand, Pakistan, Philippines, Saudi Arabia, Singapore, Slovakia, Spain, Thailand, Turkey, the UK and USA. We accepted 61 full papers (38%) and 58 short papers. The diversity of the field is reflected in the range of topics represented by the papers submitted, selected by the authors.

Cuprins

Invited Talks.- Can Research-Based Technology Change School-Based Learning? Perspectives from Singapore.- Modeling Emotion and Its Expression.- Active Learning in Technology-Enhanced Environments: On Sensible and Less Sensible Conceptions of “Active” and Their Instructional Consequences.- Riding the Third Wave.- Social and Caring Tutors.- Educational Data Mining 1.- Predicting Correctness of Problem Solving in ITS with a Temporal Collaborative Filtering Approach.- Detecting the Moment of Learning.- Comparing Knowledge Tracing and Performance Factor Analysis by Using Multiple Model Fitting Procedures.- Natural Language Interaction 1.- Automatic Question Generation for Literature Review Writing Support.- Characterizing the Effectiveness of Tutorial Dialogue with Hidden Markov Models.- Exploiting Predictable Response Training to Improve Automatic Recognition of Children’s Spoken Responses.- ITS in Ill-Defined Domains.- Leveraging a Domain Ontology to Increase the Quality of Feedback in an Intelligent Tutoring System.- Modeling Long Term Learning of Generic Skills.- Eliciting Informative Feedback in Peer Review: Importance of Problem-Specific Scaffolding.- Inquiry Learning.- Layered Development and Evaluation for Intelligent Support in Exploratory Environments: The Case of Microworlds.- The Invention Lab: Using a Hybrid of Model Tracing and Constraint-Based Modeling to Offer Intelligent Support in Inquiry Environments.- Discovering and Recognizing Student Interaction Patterns in Exploratory Learning Environments.- Collaborative and Group Learning 1.- Lesson Study Communities on Web to Support Teacher Collaboration for Professional Development.- Using Problem-Solving Context to Assess Help Quality in Computer-Mediated Peer Tutoring.- Socially Capable ConversationalTutors Can Be Effective in Collaborative Learning Situations.- Intelligent Games 1.- Facial Expressions and Politeness Effect in Foreign Language Training System.- Intercultural Negotiation with Virtual Humans: The Effect of Social Goals on Gameplay and Learning.- Gaming the System.- An Analysis of Gaming Behaviors in an Intelligent Tutoring System.- The Fine-Grained Impact of Gaming (?) on Learning.- Squeezing Out Gaming Behavior in a Dialog-Based ITS.- Pedagogical Strategies 1.- Analogies, Explanations, and Practice: Examining How Task Types Affect Second Language Grammar Learning.- Do Micro-Level Tutorial Decisions Matter: Applying Reinforcement Learning to Induce Pedagogical Tutorial Tactics.- Examining the Role of Gestures in Expert Tutoring.- Affect 1.- A Time for Emoting: When Affect-Sensitivity Is and Isn’t Effective at Promoting Deep Learning.- The Affective and Learning Profiles of Students Using an Intelligent Tutoring System for Algebra.- The Impact of System Feedback on Learners’ Affective and Physiological States.- Games and Augmented Reality.- Investigating the Relationship between Presence and Learning in a Serious Game.- Developing Empirically Based Student Personality Profiles for Affective Feedback Models.- Evaluating the Usability of an Augmented Reality Based Educational Application.- Pedagogical Agents, Learning Companions, and Teachable Agents.- What Do Children Favor as Embodied Pedagogical Agents?.- Learning by Teaching SimStudent: Technical Accomplishments and an Initial Use with Students.- The Effect of Motivational Learning Companions on Low Achieving Students and Students with Disabilities.- Intelligent Tutoring and Scaffolding 1.- Use of a Medical ITS Improves Reporting Performance among Community Pathologists.- Hints: Is It Better toGive or Wait to Be Asked?.- Error-Flagging Support for Testing and Its Effect on Adaptation.- Metacognition.- Emotions and Motivation on Performance during Multimedia Learning: How Do I Feel and Why Do I Care?.- Metacognition and Learning in Spoken Dialogue Computer Tutoring.- A Self-regulator for Navigational Learning in Hyperspace.- Pedagogical Strategies 2.- How Adaptive Is an Expert Human Tutor?.- Blocked versus Interleaved Practice with Multiple Representations in an Intelligent Tutoring System for Fractions.- Improving Math Learning through Intelligent Tutoring and Basic Skills Training.