Artificial intelligence in education technologies : new development and innovative practices : proceedings of 2023 4th International Conference on Artificial Intelligence in Education Technology / Tim Schlippe, Eric C.K. Cheng, Tianchong Wang, editors.

Format:

Book

Conference/Event

Contributor:

Schlippe, Tim, editor.

Cheng, Eric C. K., editor.

Wang, Tianchong, editor.

Conference Name:

International Conference on Artificial Intelligence in Education Technology (4th : 2023 : Berlin, Germany).

Series:

Lecture notes on data engineering and communications technologies ; v. 190.

Lecture notes on data engineering and communications technologies ; 190

Language:

English

Subjects (All):

Artificial intelligence--Educational applications--Congresses.

Artificial intelligence.

Educational technology--Congresses.

Educational technology.

Genre:

Conference papers and proceedings.

Physical Description:

1 online resource (xi, 340 pages) : illustrations (chiefly color).

Place of Publication:

Singapore : Springer, [2023]

Summary:

This book is a collection of selected research papers presented at the 2023 4th International Conference on Artificial Intelligence in Education Technology (AIET 2023), held in Berlin, Germany, on June 30 - July 2, 2023. 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. It is a timely and up-to-date publication responsive to the rapid development of AI technologies, practices and their increasingly complex interplay with the education domain. It promotes the cross-fertilisation of knowledge and ideas from researchers in various fields to construct the interdisciplinary research area of AI in Education. These subject areas include computer science, cognitive science, education, learning sciences, educational technology, psychology, philosophy, sociology, anthropology and linguistics. The feature of this book will contribute from diverse perspectives to form a dynamic picture of AI in Education. It also includes various domain-specific areas for which AI and other education technology systems have been designed or used in an attempt to address challenges and transform educational practice. This timely publication is in line with UNESCOs Beijing Consensus on Artificial Intelligence and Education. It is committed to exploring how AI may play a role in bringing more innovative practices, transforming education, and triggering an exponential leap towards 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. .

Contents:

Intro

Preface

Conference Committee

Contents

Educational Data Mining and Learning Analysis

A Qualitative Evaluation of an AI-Based Study Progress Forecast

1 Introduction

2 Theoretical Background

3 Application Design and Architecture

4 Evaluation

4.1 Participants

4.2 Data Collection

4.3 Data Analysis

4.4 Results

5 Discussion

6 Conclusion

References

AI for Coding Education Meta-analyses: An Open-Science Approach that Combines Human and Machine Intelligence

2 Related Work

3 Background and Goal

3.1 Meta-Analysis

3.2 Scaffolding

3.3 MACROs

4 Two Example Autocoders

4.1 Education Level Autocoder

4.2 Education Population Autocoder

4.3 Human-in-the-loop

5 Conclusion

Results Analysis of the Opinion Survey for Mechanical Engineering Students of a Course Taught in Face-to-Face vs. Online Format

2 Methodology

2.1 Research Context and Participants

2.2 Research Purpose

2.3 Data Analysis

3 Prediction Model Using Machine Learning Tools

3.1 Correlations of Variables

3.2 Training and Testing Phase

3.3 Results Phase

4 Conclusions

5 Future Work

KNIGHT Learning Analytics Architecture for Betterment of Student Education

2 Background

3 KNIGHT LA Architecture

3.1 Users of the System

3.2 Learning Materials and Applications

3.3 Learning Record Store

4 Use Case-Scenario

5 Conclusion and Future Work

An Innovative Model for Teacher Presence or Not in Video for Online Instruction Based on Neural Theory

2 Review of the Literature

2.1 Online Teaching and Learning

2.2 Multimedia Learning Theory

2.3 Attention Span

2.4 Neuroscience

3 The Model for Multimedia Effect

4 Case Study

5 Surveys for Students and Teachers

6 Results and Discussion

7 Conclusion

Using Relational Dialectics to Better Understand the Impact of Computer-Mediated Communication from the Perspective of Online Teaching

2 Literature Review

2.1 Relational Dialectics

2.2 Binary Thinking

2.3 Computer-Mediated Communication

3 Methodology

3.1 Research Design

3.2 Sample and Data Collection, Analysis

4 Findings/Results

7 Future Research Directions and Limitations

Notes:

International conference proceedings.

Includes author index.

Online resource; title from PDF title page (SpringerLink, viewed November 21, 2023).

ISBN:

9789819979479

9819979471

OCLC:

1409202757

Access Restriction:

Restricted for use by site license.