Thesis attribution & further reading
Follow the ideas
back to their sources.
This guide draws its pedagogical principles from a master's thesis and selected references in the thesis bibliography. The framework, AI guidance and teaching designs are practical adaptations. Historical works and learning research cited on the Framework page appear beneath each theory.
Artificial Intelligence in Science Education
Konstantinos Kalodimos · Master's thesis · 2026
Supplied copy dated 5 October 2026. PDF page numbers are one greater than printed page numbers after the cover.
Scope & attribution
“This educator resource adapts ideas from Konstantinos Kalodimos's master's thesis, Artificial Intelligence in Science Education. The thesis uses a structured literature review. The lesson planner, prompt examples and teaching designs are proposed practical resources; their classroom effectiveness has not been established by this website.”
The review is explicitly not exhaustive or systematic. Statistics or findings from broad education research should not be presented as universal evidence about science lessons.
Selected entries from the supplied bibliography
Further reading.
The numbered references below are transcribed from the thesis bibliography. The incomplete item [28] is omitted. Bibliographic entries have not been independently checked against their publishers.
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Where ideas appear
Reading guide to the thesis.
Important distinction: the thesis bibliography supports the educational discussion. Teachers should check scientific content against the trusted sources, curriculum and level used in their own course. A bibliography citation does not certify a particular teaching example.