Intelligent Support For Computer Science Education

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Intelligent Support for Computer Science Education

Author : Barbara Di Eugenio,Davide Fossati,Nick Green
Publisher : CRC Press
Page : 306 pages
File Size : 45,5 Mb
Release : 2021-09-22
Category : Computers
ISBN : 9781351684866

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Intelligent Support for Computer Science Education by Barbara Di Eugenio,Davide Fossati,Nick Green Pdf

Intelligent Support for Computer Science Education presents the authors’ research journey into the effectiveness of human tutoring, with the goal of developing educational technology that can be used to improve introductory Computer Science education at the undergraduate level. Nowadays, Computer Science education is central to the concerns of society, as attested by the penetration of information technology in all aspects of our lives; consequently, in the last few years interest in Computer Science at all levels of schooling, especially at the college level, has been flourishing. However, introductory concepts in Computer Science such as data structures and recursion are difficult for novices to grasp. Key Features: Includes a comprehensive and succinct overview of the Computer Science education landscape at all levels of education. Provides in-depth analysis of one-on-one human tutoring dialogues in introductory Computer Science at college level. Describes a scalable, plug-in based Intelligent Tutoring System architecture, portable to different topics and pedagogical strategies. Presents systematic, controlled evaluation of different versions of the system in ecologically valid settings (18 actual classes and their laboratory sessions). Provides a time-series analysis of student behavior when interacting with the system. This book will be of special interest to the Computer Science education community, specifically instructors of introductory courses at the college level, and Advanced Placement (AP) courses at the high school level. Additionally, all the authors’ work is relevant to the Educational Technology community, especially to those working in Intelligent Tutoring Systems, their interfaces, and Educational Data Mining, in particular as applied to human-human pedagogical interactions and to user interaction with educational software.

Intelligent Support for Computer Science Education

Author : Barbara Di Eugenio,Davide Fossati,Nick Green
Publisher : CRC Press
Page : 266 pages
File Size : 47,8 Mb
Release : 2021-09-23
Category : Computers
ISBN : 9781351684859

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Intelligent Support for Computer Science Education by Barbara Di Eugenio,Davide Fossati,Nick Green Pdf

Intelligent Support for Computer Science Education presents the authors’ research journey into the effectiveness of human tutoring, with the goal of developing educational technology that can be used to improve introductory Computer Science education at the undergraduate level. Nowadays, Computer Science education is central to the concerns of society, as attested by the penetration of information technology in all aspects of our lives; consequently, in the last few years interest in Computer Science at all levels of schooling, especially at the college level, has been flourishing. However, introductory concepts in Computer Science such as data structures and recursion are difficult for novices to grasp. Key Features: Includes a comprehensive and succinct overview of the Computer Science education landscape at all levels of education. Provides in-depth analysis of one-on-one human tutoring dialogues in introductory Computer Science at college level. Describes a scalable, plug-in based Intelligent Tutoring System architecture, portable to different topics and pedagogical strategies. Presents systematic, controlled evaluation of different versions of the system in ecologically valid settings (18 actual classes and their laboratory sessions). Provides a time-series analysis of student behavior when interacting with the system. This book will be of special interest to the Computer Science education community, specifically instructors of introductory courses at the college level, and Advanced Placement (AP) courses at the high school level. Additionally, all the authors’ work is relevant to the Educational Technology community, especially to those working in Intelligent Tutoring Systems, their interfaces, and Educational Data Mining, in particular as applied to human-human pedagogical interactions and to user interaction with educational software.

Artificial Intelligence in Education

Author : C.-K. Looi,G. McCalla,B. Bredeweg
Publisher : IOS Press
Page : 1040 pages
File Size : 45,8 Mb
Release : 2005-07-14
Category : Computers
ISBN : 9781607501206

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Artificial Intelligence in Education by C.-K. Looi,G. McCalla,B. Bredeweg Pdf

The field of Artificial Intelligence in Education has continued to broaden and now includes research and researchers from many areas of technology and social science. This study opens opportunities for the cross-fertilization of information and ideas from researchers in the many fields that make up this interdisciplinary research area, including artificial intelligence, other areas of computer science, cognitive science, education, learning sciences, educational technology, psychology, philosophy, sociology, anthropology, linguistics, and the many domain-specific areas for which Artificial Intelligence in Education systems have been designed and built. An explicit goal is to appeal to those researchers who share the perspective that true progress in learning technology requires both deep insight into technology and also deep insight into learners, learning, and the context of learning. The theme reflects this basic duality.

Artificial Intelligence Supported Educational Technologies

Author : Niels Pinkwart,Sannyuya Liu
Publisher : Springer Nature
Page : 299 pages
File Size : 40,9 Mb
Release : 2020-04-29
Category : Education
ISBN : 9783030410995

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Artificial Intelligence Supported Educational Technologies by Niels Pinkwart,Sannyuya Liu Pdf

This book includes a collection of expanded papers from the 2019 Sino-German Symposium on AI-supported educational technologies, which was held in Wuhan, China, March, 2019. The contributors are distinguished researchers from computer science and learning science. The contributions are organized in four sections: (1) Overviews and systematic perspectives , (2) Example Systems, (3) Algorithms, and (4) Insights gained from empirical studies. For example, different data mining and machine learning methods to quantify different profiles of a learner in different learning situations (including interaction patterns, cognitive modes, knowledge skills, interests and emotions etc.) as well as connections to measurements in psychology and learning sciences are discussed in the chapters.

Advances in Computer Science for Engineering and Education VI

Author : Zhengbing Hu,Ivan Dychka,Matthew He
Publisher : Springer Nature
Page : 1166 pages
File Size : 49,5 Mb
Release : 2023-08-18
Category : Computers
ISBN : 9783031361180

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Advances in Computer Science for Engineering and Education VI by Zhengbing Hu,Ivan Dychka,Matthew He Pdf

This book contains high-quality refereed research papers presented at the 6th International Conference on Computer Science, Engineering, and Education Applications (ICCSEEA2023), which took place in Warsaw, Poland, on March 17–19, 2023, and was organized by the National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute”, the National Aviation University, Lviv Polytechnic National University, the Polish Operational and Systems Society, Warsaw University of Technology, and the International Research Association of Modern Education and Computer Science. The book covers a variety of topics, including cutting-edge research in computer science, artificial intelligence, engineering techniques, smart logistics, and knowledge representation with educational applications. The book is an invaluable resource for academics, graduate students, engineers, management professionals, and undergraduate students who are interested in computer science and its applications in engineering and education.

Intelligent Learning Systems and Advancements in Computer-Aided Instruction: Emerging Studies

Author : Jin, Qun
Publisher : IGI Global
Page : 435 pages
File Size : 44,6 Mb
Release : 2011-12-31
Category : Education
ISBN : 9781613504840

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Intelligent Learning Systems and Advancements in Computer-Aided Instruction: Emerging Studies by Jin, Qun Pdf

"This book reviews computational models and technologies for distance education, focusing on systems, infrastructures, and frameworks for delivering quality education"--Provided by publisher.

Designing Distributed Learning Environments with Intelligent Software Agents

Author : Fuhua Oscar Lin
Publisher : IGI Global
Page : 342 pages
File Size : 44,5 Mb
Release : 2005-01-01
Category : Education
ISBN : 1591405009

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Designing Distributed Learning Environments with Intelligent Software Agents by Fuhua Oscar Lin Pdf

Designing Distributed Learning Environments with Intelligent Software Agents reports on the most recent advances in agent technologies for distributed learning. Chapters are devoted to the various aspects of intelligent software agents in distributed learning, including the methodological and technical issues on where and how intelligent agents can contribute to meeting distributed learning needs today and tomorrow. This book benefits the AI (artificial intelligence) and educational communities in their research and development, offering new and interesting research issues surrounding the development of distributed learning environments in the Semantic Web age. In addition, the ideas presented in the book are applicable to other domains such as Agent-Supported Web Services, distributed business process and resource integration, computer-supported collaborative work (CSCW) and e-Commerce.

Intelligent Tutoring Systems

Author : Claude Frasson,Gilles Gauthier
Publisher : Intellect Books
Page : 312 pages
File Size : 54,9 Mb
Release : 1990
Category : Computers
ISBN : UOM:39015018892920

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Intelligent Tutoring Systems by Claude Frasson,Gilles Gauthier Pdf

The evolution from Computer-Aided Instruction (CAI) to Intelligent Computer-Aided Instruction (ICAI) was the first step by which education and artificial intelligence communities began to look at each other's work. This text looks at the evolution toward Intelligent Tutoring Systems (ITS) which can be thought of as a step beyond ICAI, leading to more classes of problems and approaches. ITS involves artificial intelligence concepts approaches, dynamic student modelling, human cognition, intelligent user interfaces, intelligent help systems and the use of strategies.

Design Recommendations for Intelligent Tutoring Systems: Volume 11 - Professional Career Education

Author : Anne Sinatra,Art Graesser,Xiangen Hu,Lisa Townsend,Vasile Rus
Publisher : U.S. Army Combat Capabilities Development Command – Soldier Center
Page : 140 pages
File Size : 46,5 Mb
Release : 2023-09-01
Category : Computers
ISBN : 9780997725858

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Design Recommendations for Intelligent Tutoring Systems: Volume 11 - Professional Career Education by Anne Sinatra,Art Graesser,Xiangen Hu,Lisa Townsend,Vasile Rus Pdf

The Design Recommendations for Intelligent Tutoring Systems series has covered many different topics over the past ten years. Those topics have ranged from general components of intelligent tutoring systems (ITSs) (Learner Modeling, Instructional Management, Authoring Tools, Domain Modeling) to advanced elements (Assessment Methods, Team Tutoring, Self-Improving Systems, Data Visualization, Competency Based-Scenario Design). Our most recent previous volume included a series of Strengths, Weaknesses, Opportunities, and Threats (SWOT) Analyses on all the initial topics as well as overviews of ITSs in general and the Generalized Intelligent Framework for Tutoring (GIFT) software (Sottilare et al., 2012; Sottilare et al., 2017; Goldberg & Sinatra, 2023). Each book in the Design Recommendations for Intelligent Tutoring Systems series has been associated with an Expert Workshop on the same topic. These workshops are part of a cooperative agreement (W911NF18-2-0039) between US Army Combat Capabilities Development Command (DEVCOM) Soldier Center and University of Memphis. One of the goals of the expert workshops is to learn more about ITS capabilities that are being developed, and how these approaches, as well as lessons learned, could enhance the GIFT software (GIFT is freely available at https://www.GIFTtutoring.org). Invited experts in industry, academia, and government discuss the expert workshop topic, their applicable work, and suggestions for improving GIFT in what is usually a two day event. Both the University of Memphis and GIFT Teams participate in the workshop, help to guide discussion, and ask questions that will provide insight into current challenges in GIFT. The expert workshop associated with this current book was held virtually in October 2022, and included presentations about both general approaches and specific applications to professional education in ITSs. Additionally, the University of Memphis team that participated in the workshop included Arthur C. Graesser, Xiangen Hu, Vasile Rus, and Jody Cockroft. The US Army DEVCOM Soldier Center team who participated in the workshop included Benjamin Goldberg, Gregory Goodwin, Anne M. Sinatra, Randall Spain, and Lisa N. Townsend. The current volume and the expert workshop that was associated with it, branched out in a new direction and rather than addressing specific components of an ITS or types of features/approaches that could be included in ITSs, it focused on how to apply an ITS for specific types of training. The specific focus was on ITSs for Professional Career Education. This topic area was selected, as in general, ITS research tends to be focused on K-12 or college education, and in many cases on domains such as algebra or physics. However, for the military, and for industry, trainees are adult learners and domains tend to be more active, applied, and experiential. This workshop provided an opportunity for discussion of specific examples of applied training that occurs with ITSs, as well as discussion of general approaches and considerations for applied professional education in ITSs.

Computational Thinking Education in K-12

Author : Siu-Cheung Kong,Harold Abelson
Publisher : MIT Press
Page : 285 pages
File Size : 55,7 Mb
Release : 2022-05-03
Category : Education
ISBN : 9780262543477

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Computational Thinking Education in K-12 by Siu-Cheung Kong,Harold Abelson Pdf

A guide to computational thinking education, with a focus on artificial intelligence literacy and the integration of computing and physical objects. Computing has become an essential part of today’s primary and secondary school curricula. In recent years, K–12 computer education has shifted from computer science itself to the broader perspective of computational thinking (CT), which is less about technology than a way of thinking and solving problems—“a fundamental skill for everyone, not just computer scientists,” in the words of Jeanette Wing, author of a foundational article on CT. This volume introduces a variety of approaches to CT in K–12 education, offering a wide range of international perspectives that focus on artificial intelligence (AI) literacy and the integration of computing and physical objects. The book first offers an overview of CT and its importance in K–12 education, covering such topics as the rationale for teaching CT; programming as a general problem-solving skill; and the “phenomenon-based learning” approach. It then addresses the educational implications of the explosion in AI research, discussing, among other things, the importance of teaching children to be conscientious designers and consumers of AI. Finally, the book examines the increasing influence of physical devices in CT education, considering the learning opportunities offered by robotics. Contributors Harold Abelson, Cynthia Breazeal, Karen Brennan, Michael E. Caspersen, Christian Dindler, Daniella DiPaola, Nardie Fanchamps, Christina Gardner-McCune, Mark Guzdial, Kai Hakkarainen, Fredrik Heintz, Paul Hennissen, H. Ulrich Hoppe, Ole Sejer Iversen, Siu-Cheung Kong, Wai-Ying Kwok, Sven Manske, Jesús Moreno-León, Blakeley H. Payne, Sini Riikonen, Gregorio Robles, Marcos Román-González, Pirita Seitamaa-Hakkarainen, Ju-Ling Shih, Pasi Silander, Lou Slangen, Rachel Charlotte Smith, Marcus Specht, Florence R. Sullivan, David S. Touretzky

Computer Supported Collaborative Learning

Author : Claire O'Malley
Publisher : Springer Science & Business Media
Page : 306 pages
File Size : 42,7 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9783642850981

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Computer Supported Collaborative Learning by Claire O'Malley Pdf

Although research in collaborative learning has a fairly long history, dating back at least to the early work of Piaget and Vygotsky, it is only recently that workers have begun to apply some of its findings to the design of computer based learning systems. The early generation of the!le systems focused on their potential for supporting individual learning: learning could be self paced; teaching could be adapted to individual learners' needs. This was certainly the promise of the later generation of intelligent tutoring systems. However, this promise has yet to be realised. Not only are there still some very difficult research problems to solve in providing adaptive learning systems, but there are also some very real practical constraints on the widespread take up of individualised computer based instruction. Reseachers soon began to realise that the organisational, cultural and social contexts of the classroom have to be taken into account in designing systems to promote effective learning. Much of the work that goes on in classrooms is collaborative, whether by design or not. Teachers also need to be able to adapt the technology to their varying needs. Developments in technology, such as networking, have also contributed to changes in the way in which computers may be envisaged to support learning. In September 1989, a group of researchers met in Maratea, Italy, for a NATO-sponsored workshop on "Computer supported collaborative . learning". A total of 20 researchers from Europe (Belgium.

Evolution of STEM-Driven Computer Science Education

Author : Vytautas Štuikys,Renata Burbaitė
Publisher : Springer Nature
Page : 368 pages
File Size : 51,5 Mb
Release : 2024-01-01
Category : Technology & Engineering
ISBN : 9783031482359

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Evolution of STEM-Driven Computer Science Education by Vytautas Štuikys,Renata Burbaitė Pdf

The book discusses the evolution of STEM-driven Computer Science (CS) Education based on three categories of Big Concepts, Smart Education (Pedagogy), Technology (tools and adequate processes) and Content that relates to IoT, Data Science and AI. For developing, designing, testing, delivering and assessing learning outcomes for K-12 students (9-12 classes), the multi-dimensional modelling methodology is at the centre. The methodology covers conceptual and feature-based modelling, prototyping, and virtual and physical modelling at the implementation and usage level. Chapters contain case studies to assist understanding and learning. The book contains multiple methodological and scientific innovations including models, frameworks and approaches to drive STEM-driven CS education evolution. Educational strategists, educators, and researchers will find valuable material in this book to help them improve STEM-driven CS education strategies, curriculum development, and new ideas for research.

Computational Intelligence for Technology Enhanced Learning

Author : Fatos Xhafa,Santi Caballé,Ajith Abraham,Thanasis Daradoumis,Angel A. Juan
Publisher : Springer
Page : 250 pages
File Size : 43,9 Mb
Release : 2010-03-10
Category : Technology & Engineering
ISBN : 9783642112249

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Computational Intelligence for Technology Enhanced Learning by Fatos Xhafa,Santi Caballé,Ajith Abraham,Thanasis Daradoumis,Angel A. Juan Pdf

E-Learning has become one of the most wide spread ways of distance teaching and learning. Technologies such as Web, Grid, and Mobile and Wireless networks are pushing teaching and learning communities to find new and intelligent ways of using these technologies to enhance teaching and learning activities. Indeed, these new technologies can play an important role in increasing the support to teachers and learners, to shorten the time to learning and teaching; yet, it is necessary to use intelligent techniques to take advantage of these new technologies to achieve the desired support to teachers and learners and enhance learners’ performance in distributed learning environments. The chapters of this volume bring advances in using intelligent techniques for technology enhanced learning as well as development of e-Learning applications based on such techniques and supported by technology. Such intelligent techniques include clustering and classification for personalization of learning, intelligent context-aware techniques, adaptive learning, data mining techniques and ontologies in e-Learning systems, among others. Academics, scientists, software developers, teachers and tutors and students interested in e-Learning will find this book useful for their academic, research and practice activity.

Smart STEM-Driven Computer Science Education

Author : Vytautas Štuikys,Renata Burbaitė
Publisher : Springer
Page : 368 pages
File Size : 49,8 Mb
Release : 2018-06-28
Category : Computers
ISBN : 9783319784854

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Smart STEM-Driven Computer Science Education by Vytautas Štuikys,Renata Burbaitė Pdf

At the centre of the methodology used in this book is STEM learning variability space that includes STEM pedagogical variability, learners’ social variability, technological variability, CS content variability and interaction variability. To design smart components, firstly, the STEM learning variability space is defined for each component separately, and then model-driven approaches are applied. The theoretical basis includes feature-based modelling and model transformations at the top specification level and heterogeneous meta-programming techniques at the implementation level. Practice includes multiple case studies oriented for solving the task prototypes, taken from the real world, by educational robots. These case studies illustrate the process of gaining interdisciplinary knowledge pieces identified as S-knowledge, T-knowledge, E-knowledge, M-knowledge or integrated STEM knowledge and evaluate smart components from the pedagogical and technological perspectives based on data gathered from one real teaching setting. Smart STEM-Driven Computer Science Education: Theory, Methodology and Robot-based Practices outlines the overall capabilities of the proposed approach and also points out the drawbacks from the viewpoint of different actors, i.e. researchers, designers, teachers and learners.

Intelligent Systems and Learning Data Analytics in Online Education

Author : Santi Caballé,Stavros N. Demetriadis,Eduardo Gómez-Sánchez,Pantelis M. Papadopoulos,Armin Weinberger
Publisher : Academic Press
Page : 427 pages
File Size : 42,5 Mb
Release : 2021-06-15
Category : Computers
ISBN : 9780128231272

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Intelligent Systems and Learning Data Analytics in Online Education by Santi Caballé,Stavros N. Demetriadis,Eduardo Gómez-Sánchez,Pantelis M. Papadopoulos,Armin Weinberger Pdf

Intelligent Systems and Learning Data Analytics in Online Education provides novel artificial intelligence (AI) and analytics-based methods to improve online teaching and learning. This book addresses key problems such as attrition and lack of engagement in MOOCs and online learning in general. This book explores the state of the art of artificial intelligence, software tools and innovative learning strategies to provide better understanding and solutions to the various challenges of current e-learning in general and MOOC education. In particular, Intelligent Systems and Learning Data Analytics in Online Education shares stimulating theoretical and practical research from leading international experts. This publication provides useful references for educational institutions, industry, academic researchers, professionals, developers, and practitioners to evaluate and apply. Presents the application of innovative AI techniques to collaborative learning activities Offers strategies to provide automatic and effective tutoring to students’ activities Offers methods to collect, analyze and correctly visualize learning data in educational environments