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Auto-Grader - Auto-Grading Free Text Answers

Auto-Grader - Auto-Grading Free Text Answers PDF Author: Robin Richner
Publisher: Springer Nature
ISBN: 3658392037
Category : Business & Economics
Languages : en
Pages : 106

Book Description
Teachers spend a great amount of time grading free text answer type questions. To encounter this challenge an auto-grader system is proposed. The thesis illustrates that the auto-grader can be approached with simple, recurrent, and Transformer-based neural networks. Hereby, the Transformer-based models has the best performance. It is further demonstrated that geometric representation of question-answer pairs is a worthwhile strategy for an auto-grader. Finally, it is indicated that while the auto-grader could potentially assist teachers in saving time with grading, it is not yet on a level to fully replace teachers for this task.

Auto-Grader - Auto-Grading Free Text Answers

Auto-Grader - Auto-Grading Free Text Answers PDF Author: Robin Richner
Publisher: Springer Nature
ISBN: 3658392037
Category : Business & Economics
Languages : en
Pages : 106

Book Description
Teachers spend a great amount of time grading free text answer type questions. To encounter this challenge an auto-grader system is proposed. The thesis illustrates that the auto-grader can be approached with simple, recurrent, and Transformer-based neural networks. Hereby, the Transformer-based models has the best performance. It is further demonstrated that geometric representation of question-answer pairs is a worthwhile strategy for an auto-grader. Finally, it is indicated that while the auto-grader could potentially assist teachers in saving time with grading, it is not yet on a level to fully replace teachers for this task.

Artificial Intelligence in Education

Artificial Intelligence in Education PDF Author: Ig Ibert Bittencourt
Publisher: Springer Nature
ISBN: 3030522377
Category : Computers
Languages : en
Pages : 660

Book Description
This two-volume set LNAI 12163 and 12164 constitutes the refereed proceedings of the 21th International Conference on Artificial Intelligence in Education, AIED 2020, held in Ifrane, Morocco, in July 2020.* The 49 full papers presented together with 66 short, 4 industry & innovation, 4 doctoral consortium, and 4 workshop papers were carefully reviewed and selected from 214 submissions. The conference provides opportunities for the cross-fertilization of approaches, techniques and ideas from the many fields that comprise AIED, including computer science, cognitive and learning sciences, education, game design, psychology, sociology, linguistics as well as many domain-specific areas. ​*The conference was held virtually due to the COVID-19 pandemic.

Handbook of Automated Essay Evaluation

Handbook of Automated Essay Evaluation PDF Author: Mark D. Shermis
Publisher: Routledge
ISBN: 1136334793
Category : Psychology
Languages : en
Pages : 515

Book Description
This comprehensive, interdisciplinary handbook reviews the latest methods and technologies used in automated essay evaluation (AEE) methods and technologies. Highlights include the latest in the evaluation of performance-based writing assessments and recent advances in the teaching of writing, language testing, cognitive psychology, and computational linguistics. This greatly expanded follow-up to Automated Essay Scoring reflects the numerous advances that have taken place in the field since 2003 including automated essay scoring and diagnostic feedback. Each chapter features a common structure including an introduction and a conclusion. Ideas for diagnostic and evaluative feedback are sprinkled throughout the book. Highlights of the book’s coverage include: The latest research on automated essay evaluation. Descriptions of the major scoring engines including the E-rater®, the Intelligent Essay Assessor, the IntellimetricTM Engine, c-raterTM, and LightSIDE. Applications of the uses of the technology including a large scale system used in West Virginia. A systematic framework for evaluating research and technological results. Descriptions of AEE methods that can be replicated for languages other than English as seen in the example from China. Chapters from key researchers in the field. The book opens with an introduction to AEEs and a review of the "best practices" of teaching writing along with tips on the use of automated analysis in the classroom. Next the book highlights the capabilities and applications of several scoring engines including the E-rater®, the Intelligent Essay Assessor, the IntellimetricTM engine, c-raterTM, and LightSIDE. Here readers will find an actual application of the use of an AEE in West Virginia, psychometric issues related to AEEs such as validity, reliability, and scaling, and the use of automated scoring to detect reader drift, grammatical errors, discourse coherence quality, and the impact of human rating on AEEs. A review of the cognitive foundations underlying methods used in AEE is also provided. The book concludes with a comparison of the various AEE systems and speculation about the future of the field in light of current educational policy. Ideal for educators, professionals, curriculum specialists, and administrators responsible for developing writing programs or distance learning curricula, those who teach using AEE technologies, policy makers, and researchers in education, writing, psychometrics, cognitive psychology, and computational linguistics, this book also serves as a reference for graduate courses on automated essay evaluation taught in education, computer science, language, linguistics, and cognitive psychology.

Advances in Computerized Scoring of Complex Item Formats

Advances in Computerized Scoring of Complex Item Formats PDF Author: Brian E. Clauser
Publisher: Routledge
ISBN: 1135590605
Category : Education
Languages : en
Pages : 148

Book Description
This special issue was motivated by the move from research to operations for computerized delivery and scoring of complex constructed response items. The four papers presented provide an overview of the state of the art for such applications. The issue begins by describing the range of computer delivered formats and computerized scoring systems that are currently in use. The remaining papers provide three views of validity in the context of computer delivered and scoring assessments. It is hoped that together, these articles will provide the reader with both an appreciation of the state of the art for computer-automated scoring systems, as well as a perspective on the issues that must be considered and the evidence that must be collected to produce automated scoring systems that allow for valid inference.

Biologically Inspired Cognitive Architectures 2019

Biologically Inspired Cognitive Architectures 2019 PDF Author: Alexei V. Samsonovich
Publisher: Springer
ISBN: 3030257193
Category : Technology & Engineering
Languages : en
Pages : 636

Book Description
The book focuses on original approaches intended to support the development of biologically inspired cognitive architectures. It bridges together different disciplines, from classical artificial intelligence to linguistics, from neuro- and social sciences to design and creativity, among others. The chapters, based on contributions presented at the Tenth Annual Meeting of the BICA Society, held in on August 15-18, 2019, in Seattle, WA, USA, discuss emerging methods, theories and ideas towards the realization of general-purpose humanlike artificial intelligence or fostering a better understanding of the ways the human mind works. All in all, the book provides engineers, mathematicians, psychologists, computer scientists and other experts with a timely snapshot of recent research and a source of inspiration for future developments in the broadly intended areas of artificial intelligence and biological inspiration.

Knowledge Science, Engineering and Management

Knowledge Science, Engineering and Management PDF Author: Han Qiu
Publisher: Springer Nature
ISBN: 3030821536
Category : Computers
Languages : en
Pages : 704

Book Description
This three-volume set constitutes the refereed proceedings of the 14th International Conference on Knowledge Science, Engineering and Management, KSEM 2021, held in Tokyo, Japan, in August 2021. The 164 revised full papers were carefully reviewed and selected from 492 submissions. The contributions are organized in the following topical sections: knowledge science with learning and AI; knowledge engineering research and applications; knowledge management with optimization and security.

Advances in Artificial Intelligence - IBERAMIA 2018

Advances in Artificial Intelligence - IBERAMIA 2018 PDF Author: Guillermo R. Simari
Publisher: Springer
ISBN: 3030039285
Category : Computers
Languages : en
Pages : 527

Book Description
This book constitutes the refereed proceedings of the 16th Ibero-American Conference on Artificial Intelligence, IBERAMIA 2018, held in Trujillo, Peru,in November 2018. The 41 papers presented were carefully reviewed and selected from 92 submissions. The papers are organized in the following topical sections: Knowledge Engineering, Knowledge Representation and Reasoning under Uncertainty., Multiagent Systems., Game Theory and Economic Paradigms, Game Playing and Interactive Entertainment, Ambient Intelligence, Machine Learning Methods, Cognitive Modeling,General AI, Knowledge Engineering, Computational Sustainability and AI, Heuristic Search and Optimization and much more.

Higher Education Learning Methodologies and Technologies Online

Higher Education Learning Methodologies and Technologies Online PDF Author: Gabriella Casalino
Publisher: Springer Nature
ISBN: 3031673514
Category :
Languages : en
Pages : 815

Book Description


Machine Learning and Knowledge Extraction

Machine Learning and Knowledge Extraction PDF Author: Andreas Holzinger
Publisher: Springer Nature
ISBN: 3030840603
Category : Computers
Languages : en
Pages : 366

Book Description
This book constitutes the refereed proceedings of the 5th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2021, held in virtually in August 2021. The 20 full papers and 2 short papers presented were carefully reviewed and selected from 48 submissions. The cross-domain integration and appraisal of different fields provides an atmosphere to foster different perspectives and opinions; it will offer a platform for novel ideas and a fresh look on the methodologies to put these ideas into business for the benefit of humanity.

Artificial Intelligence in Education Technologies: New Development and Innovative Practices

Artificial Intelligence in Education Technologies: New Development and Innovative Practices PDF Author: Eric C. K. Cheng
Publisher: Springer Nature
ISBN: 9811980403
Category : Education
Languages : en
Pages : 224

Book Description
This edited book is a collection of selected research papers presented at the 2022 3rd International Conference on Artificial Intelligence in Education Technology (AIET 2022), held in Wuhan, China, on July 1–3, 2022. AIET establishes a platform for AI in education researchers to present research, exchange innovative ideas, propose new models, as well as demonstrate advanced methodologies and novel systems. The book is divided into five main sections – 1) AI in Education in the Post-COVID New Norm, 2) Emerging AI Technologies, Methods, Systems and Infrastructure, 3) Innovative Practices of Teaching and Assessment Driven by AI and Education Technologies, 4) Curriculum, Teacher Professional Development and Policy for AI in Education, and 5) Issues and Discussions on AI In Education and Future Development. Through these sections, the book provides a comprehensive picture of the current status, emerging trends, innovations, theory, applications, challenges and opportunities of current AI in education research. This timely publication is well aligned with UNESCO’s Beijing Consensus on Artificial Intelligence (AI) and Education. It is committed to exploring how AI may play a role in bringing more innovative practices, transforming education in the post-pandemic new norm and triggering an exponential leap toward the achievement of the Education 2030 Agenda. Providing broad coverage of recent technology-driven advances and addressing a number of learning-centric themes, the book is an informative and useful resource for researchers, practitioners, education leaders and policy-makers who are involved or interested in AI and education.