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E-grāmata: Experimental Studies in Learning Technology and Child-Computer Interaction

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This book is about the ways in which experiments can be employed in the context of research on learning technologies and child–computer interaction (CCI). It is directed at researchers, supporting them to employ experimental studies while increasing their quality and rigor. The book provides a complete and comprehensive description on how to design, implement, and report experiments, with a focus on and examples from CCI and learning technology research. The topics covered include an introduction to CCI and learning technologies as interdisciplinary fields of research, how to design educational interfaces and visualizations that support experimental studies, the advantages and disadvantages of a variety of experiments, methodological decisions in designing and conducting experiments (e.g. devising hypotheses and selecting measures), and the reporting of results. As well, a brief introduction on how contemporary advances in data science, artificial intelligence, and sensor data have impacted learning technology and CCI research is presented. The book details three important issues that a learning technology and CCI researcher needs to be aware of: the importance of the context, ethical considerations, and working with children. The motivation behind and emphasis of this book is helping prospective CCI and learning technology researchers (a) to evaluate the circumstances that favor (or do not favor) the use of experiments, (b) to make the necessary methodological decisions about the type and features of the experiment, (c) to design the necessary “artifacts” (e.g., prototype systems, interfaces, materials, and procedures), (d) to operationalize and conduct experimental procedures to minimize potential bias, and (e) to report the results of their studies for successful dissemination in top-tier venues (such as journals and conferences).


This book is an open access publication.

Recenzijas

This compact, well-written book provides a birds-eye view of CCI and learning technology. Most chapters are interesting and informative. The book will be useful for its intended audience and may also serve as a compendious handbook on CCI and learning technology. (S.V.Nagaraj, Computing Reviews, January 24, 2024)

1 Introduction
1(6)
References
5(2)
2 Learning Technology and Child-Computer Interaction
7(8)
2.1 Definitions and Commonalities
7(4)
2.2 Synergies and Complementarities
11(4)
References
13(2)
3 Educational Interface Design and the Role of Artifacts
15(12)
3.1 Design of Educational Interfaces
15(5)
3.2 Artifacts and Treatment Design
20(7)
References
25(2)
4 Educational Data, Learning Analytics and Dashboards
27(10)
4.1 Educational Data and Learning Analytics
27(3)
4.2 Learner Modeling
30(2)
4.3 Educational Dashboards and Visualization
32(5)
References
35(2)
5 Common Types of Experimental Designs in CCI and Learning Technology Research
37(10)
5.1 Randomized (True) Experiments
40(1)
5.2 Quasi-Experiments
41(1)
5.3 Repeated Measures Experiments
41(2)
5.4 Time Series Experiments
43(4)
References
45(2)
6 Data Collection and Analysis in Learning Technology and CCI Research
47(22)
6.1 Data Collection
48(12)
6.2 Data Analysis
60(9)
References
65(4)
7 Reporting CCI and Learning Technology Research
69(12)
7.1 Introduction (and Motivation)
71(1)
7.2 Background and Related Work
72(1)
7.3 Methods
73(3)
7.3.1 Participants
74(1)
7.3.2 Setting/Procedure
74(1)
7.3.3 Data Collection
75(1)
7.3.4 Research Design
75(1)
7.3.5 Data Analysis
75(1)
7.4 Findings (or Results)
76(2)
7.5 Discussion
78(1)
7.6 Conclusions and Further Research
79(2)
References
80(1)
8 Common Criteria, Pitfalls, and Practices in CCI and Learning Technology Research
81(8)
8.1 Common Criteria
81(2)
8.2 Potential Pitfalls
83(1)
8.3 Useful Practices
84(5)
References
87(2)
9 Developments in Data Science and Artificial Intelligence in Learning Technology and CCI Research
89(8)
9.1 Data Science
89(2)
9.2 Artificial Intelligence
91(1)
9.3 Sensor Data and Multimodal Learning Analytics
92(5)
References
94(3)
10 Issues to Consider as a CCI and Learning Technology Researcher
97(8)
10.1 Context in Experimental Studies
97(2)
10.2 Ethical Considerations
99(3)
10.3 Working with Children
102(3)
References
103(2)
11 Summary and Reflections for Learning Technology and CCI Research
105
References
107
Michail (Michalis) Giannakos is a professor of interaction design and learning technologies at the Department of Computer Science of the Norwegian University of Science and Technology (NTNU). He is the head of the Learner-Computer Interaction lab and his research focuses on the design and study of emerging technologies in online and hybrid education settings, and on developing new ways for humans to interact with interactive learning systems. Giannakos has co-authored more than 200 manuscripts published in prestigious peer-reviewed journals and conferences (including Computers & Education, Computers in Human Behavior, IEEE Pervasive Computing, IEEE TLT, BIT, BJET, ACM TOCE, ACM IDC, ICLS/CSCL, Interact).

Giannakos, together with Mike Horn, is the Editor-in-Chief of the International Journal of Child-Computer Interaction (Elsevier). He is also in the Editorial Board of IEEE Transactions in Learning Technology, IEEE Transactions on Education, Behaviour & Information Technology andthe International Journal of Information Management, and has served as a guest editor on highly recognized journals such as BJET, Computers in Human Behavior, ACM TOCE and IEEE Multimedia. He has served as an evaluator for the European Commission (EC) and the US-NSF, and he recently co-edited the Multimodal Learning Analytics handbook (Springer) and co-authored a textbook on Educational Data Analytics for School Teachers and Leaders (Springer).