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Book Chapter

Published: 13 April 2026
10.1108/978-1-80686-799-820261001
EISBN: 978-1-80686-799-8
ISBN: 978-1-80686-800-1
...A new dawn is breaking in human history: the age of synthetic intelligence. For millennia, humanity has sought to understand, enhance, and expand the mind’s capabilities. From the ancient myth of Pygmalion, in which life is shaped from lifeless marble, to Mary Shelley’s Frankenstein...
Book Chapter
Published: 13 April 2026
10.1108/978-1-80686-799-820261004
EISBN: 978-1-80686-799-8
ISBN: 978-1-80686-800-1
... of synthetic intelligence. Fig. 2. Learning Theories & Technology: From Pre- AI to Synthetic Intelligence A comparative diagram contrasts the pre-artificial intelligence era of learning theories and technologies with the era of artificial intelligence and synthetic intelligence in education...
Book Chapter
Published: 13 April 2026
10.1108/978-1-80686-799-820261006
EISBN: 978-1-80686-799-8
ISBN: 978-1-80686-800-1
...Synthetic intelligence, as developed in earlier chapters, is not a property of humans alone or of machines alone. It is the emergent intelligence of a relationship – a patterned, evolving conversation among humans, artificial intelligence ( AI ) systems, tasks, and contexts. In practice...
Book Chapter
Published: 12 January 2026
10.1108/978-1-80592-609-220251023
EISBN: 978-1-80592-609-2
ISBN: 978-1-80592-610-8
...Background In this chapter, we revisit the Balance Sheet Synthetic CLO transaction summarized in the Introduction. We provide greater detail regarding the mechanics and pricing of the transaction, discuss its accounting and regulatory aspects...
Book Chapter
Published: 12 January 2026
10.1108/978-1-80592-609-220251029
EISBN: 978-1-80592-609-2
ISBN: 978-1-80592-610-8
...Appropriateness This short synthetic dumping case was discussed in considerable detail in the Introduction, so we need only comment here on the appropriateness of the structure. My sense is that the structure would, and should, survive...
Images
A comparative diagram contrasts the pre-artificial intelligence era of learning theories and technologies with the era of artificial intelligence and synthetic intelligence in education.
Published: 25 May 2026
Fig. 2. Learning Theories & Technology: From Pre- AI to Synthetic Intelligence A comparative diagram contrasts the pre-artificial intelligence era of learning theories and technologies with the era of artificial intelligence and synthetic intelligence in education. The diagram presents More about this image found in Learning Theories & Technology: From Pre- AI to Synthetic Intelligence...
Images
A process diagram presents five stages of collaborative inquiry .
Published: 25 May 2026
Fig. 3. Dialogic Framework for Synthetic Intelligence A process diagram presents five stages of collaborative inquiry . The diagram outlines five connected stages. The first stage is intentional framing. The second stage is co-representation of the problem space. The third stage is generative More about this image found in Dialogic Framework for Synthetic Intelligence A process diagram presents...
Images
A framework diagram links prompting techniques and Socratic questioning through synthetic intelligence dialogue, connected by an iterative refinement loop and supported by emotional and learning dynamics.
Published: 25 May 2026
Fig. 4. The Art and Science of Dialogue in Synthetic Intelligence A framework diagram links prompting techniques and Socratic questioning through synthetic intelligence dialogue, connected by an iterative refinement loop and supported by emotional and learning dynamics. The diagram presents More about this image found in The Art and Science of Dialogue in Synthetic Intelligence A framework di...
Images
A model of the synthetic university in the early 2030s outlines student learning through artificial intelligence mentors, world model-based labs, and synthetic assessment ecosystems, supported by educators and institutions.
Published: 25 May 2026
Fig. 6. Envisioning Future Education in the AI Era: Synthetic Classrooms and Universities. A model of the synthetic university in the early 2030s outlines student learning through artificial intelligence mentors, world model-based labs, and synthetic assessment ecosystems, supported More about this image found in Envisioning Future Education in the AI Era: Synthetic Classrooms and Univ...
Book Chapter

Published: 25 May 2026
EISBN: 978-1-80686-799-8
ISBN: 978-1-80686-800-1
Images
A comparison diagram contrasts human intelligence and artificial intelligence, outlining perceptions, learning strengths, limits, and implications for learning, with a central section describing dialogue and division of labour.
Published: 25 May 2026
Fig. 1. Human Intelligence Versus Artificial Intelligence in Education A comparison diagram contrasts human intelligence and artificial intelligence, outlining perceptions, learning strengths, limits, and implications for learning, with a central section describing dialogue and division of labo... More about this image found in Human Intelligence Versus Artificial Intelligence in Education A compari...
Images
A three-domain model of learning assessment in the artificial intelligence era outlines human-centric capabilities, human-artificial intelligence collaboration, and artificial intelligence literacy.
Published: 25 May 2026
intelligence literacy, including prompting and dialogue literacy, critical evaluation of outputs, ethical use and responsibility, and understanding limitations, using performance-based tasks and discipline specific application. The overall goal is to cultivate synthetic intelligence and prepare learners More about this image found in Dimensions of Learning Assessment in the AI Era. A three-domain model ...
Book Chapter
Published: 13 April 2026
10.1108/978-1-80686-799-820261011
EISBN: 978-1-80686-799-8
ISBN: 978-1-80686-800-1
... results, or highlight regions of interest, but responsibility for designing and interpreting experiments remains with the students. Synthetic assessment ecosystems. Assessment is not a single midterm plus a final exam. It is a continuously updated representation of how each learner interacts...
Book Chapter
Published: 13 April 2026
10.1108/978-1-80686-799-820261002
EISBN: 978-1-80686-799-8
ISBN: 978-1-80686-800-1
... frames them as distinct but interdependent. Human learners bring meaning, values, and contextual judgment; AI systems offer speed, scale, and pattern recognition. Understanding both, on their own terms, is a prerequisite for any serious conversation about “synthetic intelligence” in education. Before...
Book Chapter
Published: 13 April 2026
10.1108/978-1-80686-799-820261009
EISBN: 978-1-80686-799-8
ISBN: 978-1-80686-800-1
... intelligence literacy, including prompting and dialogue literacy, critical evaluation of outputs, ethical use and responsibility, and understanding limitations, using performance-based tasks and discipline specific application. The overall goal is to cultivate synthetic intelligence and prepare learners...
Book Chapter

Published: 13 April 2026
10.1108/978-1-80686-799-820261013
EISBN: 978-1-80686-799-8
ISBN: 978-1-80686-800-1
..., making it a primary building block of synthetic intelligence experiences. Human– AI Collaboration : The shared work of humans and AI systems on a task, where each contributes distinct strengths. In this book, human– AI collaboration is framed as dialogic and co-creative: humans bring purpose, values...
Book Chapter

Published: 13 April 2026
10.1108/978-1-80686-799-820261016
EISBN: 978-1-80686-799-8
ISBN: 978-1-80686-800-1
Images
A hand-drawn illustration depicting a futuristic and optimistic African urban environment.
Published: 04 May 2026
)” with labels on sustainable food systems. At the top left, a banner reads “African Union in 2042”, placed above an animated board of a shop that reads “Synthetic protein manufacture, part of continental food production”. Below, a group of diverse people walk along a pathway surrounded by green trees and modern More about this image found in The Luxury African Food Commons Scenario. Source: Credit I...
Book Chapter

Published: 11 May 2026
EISBN: 978-1-80686-209-2
ISBN: 978-1-80686-210-8
.../ Chu , S. N. , & Goodell , A. J. ( 2024 ). Synthetic patients: Simulating difficult conversations with multimodal generative AI for medical education . arXiv . https://arxiv.org/abs/2405.19941 Fung , J. T. C. , Chan , S. L. , Takemura , N. , Chiu , H.-Y. , Huang...

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