Embracing the future of Artificial Intelligence in the classroom: the relevance of AI literacy, prompt engineering, and critical thinking in modern education

Walter · International Journal of Educational Technology in Higher Education · 2024 · education · 10.1186/s41239-024-00448-3 · record walter2024-embracing-the-future-of-artificial
tag layer · index · concepts · authors · עברית
Where this record's text came from. faceted 2026-08 by reading the locally held text (pdftext); every evidence string verified as an exact substring of that text before merging. method is recorded as 'review' because the single sentence describing the design names both a case study and a narrative literature review; 'practice-report' would fit the institutional case-study half equally well, and the same verbatim sentence supports either. Claim type 'method' captures the shape of the contribution as a prescription for how to do something (integrate AI in teaching), not an empirical finding; the paper reports no measured outcomes. Limitations are thin: the author acknowledges only the higher-education/adult-learner scope. He notes elsewhere that longitudinal evidence does not yet exist, but frames that as a gap in the field rather than a limit of this paper, so it is not recorded here. The evidence base (unstructured informal discussions, no sampling or coding scheme) is described but never flagged by the author as a limitation. Two long tables (Table 4 and Table 5) survived PDF extraction as reversed-character noise and nothing was quoted from them. 2026-08-14 and 2026-08-28 schema-0.3 passes: every quote verified as an exact substring of the staged text and anchored at merge time; concept terms verified present; every edge endpoint an existing node.
This record’s own method is review, and the tags below follow from that. A review’s findings, quantities and statistics are things stated IN this paper, and some of them report results obtained elsewhere. No tag on this page names a different author. Measured across every review in this corpus, 81% of a review’s tags carry no citation at all — most of them are the review speaking. The corpus does not adjudicate the rest: read an unmarked tag as a claim this paper makes, not necessarily one it made first.
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Other fields define these differently the same word, defined another way in another discipline
Critical thinking 2 fields

Tags on this paper

Every tag the record carries, each linking to every other paper in the corpus that carries it. A tag appears here whether or not its words occur in the article — the spans below are only the ones a sentence in this paper licenses. Of the 15 concept tags on this paper, all 15 are grounded in a quoted sentence. 10 carry the tagger's gloss of what the term means in this paper, which is not something the article can license.
AI literacy narrow AI superintelligent AI AI hallucinations false responses Prompt engineering Critical thinking AI alignment AI runaway AI discrimination AI Lock-In problem statistical machines truth-generators Zero-Shot prompts Few-Shot prompting odd prompt phrases such as "take a deep breath" work because that wording is statistically associated with more nuanced behaviour in the model's internet training data Tree-of-Thought improves answers by combining chain-of-thought with self-consistency so the model can backtrack across reasoning lines and converge on the best one prompt design fosters critical thinking by forcing students to take multiple perspectives on a problem and to analyse and construct solutions rather than receive them expert prompting (EP) prompt-wise tabula-rasa problem ToT-context universal and transferrable prompt suffix Automatic Prompt Engineer (APE) review

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relation to other workclaim_relationshow this paper stands to another: agrees, contradicts, extends, qualifies
claim typeclaim_typethe shape of the claim: existence, mechanism, method, critique, prediction, null
concept edgeconcept_edgesan asserted relation between two concepts, with the sentence asserting it
conceptconceptsan idea the paper works with, quoted where the paper uses it
content tagcontent_tagsa finding, definition, quantity, statistic or variable named in the paper
limitationlimitationswhat the paper says its evidence cannot support
mechanismmechanismshow the reported effect is said to come about
methodmethodhow the paper produced its evidence
phenomenonphenomenonthe effect or regularity under study
sensesensesa distinct use of a term, quoted where the paper fixes it

The paper

The full text is not reproduced here. This article is not cleared for redistribution, so the page carries the tag layer only. Its evidence sentences are withheld; the grounding status remains with each tag, and the article itself is at https://doi.org/10.1186/s41239-024-00448-3. The reading view exists for the papers whose licence permits it.

Every tag on this page

claim_relations 1 · claim_type 1 · concept_edges 3 · concepts 15 · content_tags 19 · limitations 3 · mechanisms 3 · method 1 · phenomenon 1 · senses 14

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facettagfieldconf.whose words
claim_typemethod
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claim_typethe paper's words
phenomenonAI integration in classroom teaching
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phenomenonthe paper's words
methodreview
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also in: review
methodthe paper's words
mechanismsmechanisms
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mechanisms[0]the tagger's words
mechanismsmechanisms
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mechanisms[1]the tagger's words
mechanismsmechanisms
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mechanisms[2]the tagger's words
limitationsThe discussion is pitched at higher education and adult students; its applicability to children is asserted rather than shown.
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limitations[0]the tagger's words
limitationsTwo opposite institutional policies on the same technology are presented side by side.
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what this limits: any claim about how education is responding to these tools: the paper sets out that some institutions have banned their use for theses and papers while others have fully allowed it with no or only little limitations
limitations[1]1.0the tagger's words
limitationsA named risk of the technology is that its users do not know its limitations.
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what this limits: any classroom use of these systems described here: the authors list teachers and students not being aware of the limitations and dangers of the technology, giving false responses through AI hallucinations as the example
limitations[2]1.0the tagger's words
conceptsAI literacy
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also in: AI literacy
concepts[0]the paper's words
conceptsnarrow AI
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also in: narrow AI
concepts[1]the paper's words
conceptssuperintelligent AI
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concepts[2]the paper's words
conceptsAI hallucinations
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concepts[3]the paper's words
conceptsfalse responses
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concepts[4]the paper's words
conceptsPrompt engineering
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concepts[5]0.95the paper's words
conceptsCritical thinking
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concepts[6]0.95the paper's words
conceptsAI alignment
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also in: AI alignment
concepts[7]0.95the paper's words
conceptsAI runaway
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also in: AI runaway
concepts[8]0.95the paper's words
conceptsAI discrimination
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concepts[9]0.95the paper's words
conceptsAI Lock-In problem
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concepts[10]0.95the paper's words
conceptsstatistical machines
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concepts[11]0.95the paper's words
conceptstruth-generators
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concepts[12]0.95the paper's words
conceptsZero-Shot prompts
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concepts[13]0.95the paper's words
conceptsFew-Shot prompting
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concepts[14]0.95the paper's words
sensesAI, in the curriculum - A SETTLED DEFINITION TO BE TAUGHT: the first component of an AI literacy program is basic definitions and understanding of what AI is, together with a three-way type list - narrow, general and superintelligent - which is a settled account of the term, in a literature whose own reviews cannot agree one
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senses[0]1.0the tagger's words
sensesinstitutional policy on AI - BANNED AND FULLY ALLOWED AT ONCE: the same paragraph reports institutions that prohibit these tools in theses and papers and institutions that permit them with no or only little limitations, so 'the policy on AI in education' names two opposite rules in force at the same time
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senses[1]1.0the tagger's words
sensesAI hallucinations - THE NAMED FAILURE USERS ARE SAID NOT TO KNOW ABOUT: false responses generated by the system, listed as something both teachers and students are unaware of, so the limitation and the ignorance of it are recorded as one problem
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senses[2]1.0the tagger's words
sensesAI literacy - the ability to understand and interact effectively with AI, including awareness of its ethical and societal implications
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senses[3]0.95the tagger's words
sensesPrompt engineering - strategic crafting of inputs to elicit desired AI-system responses or behaviors
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senses[4]0.95the tagger's words
sensesCritical thinking in AI education - analyzing information, evaluating perspectives, and creating reasoned arguments in AI-driven environments
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senses[5]0.95the tagger's words
sensesAI alignment - the risk that a system subtly does something other than what it was instructed to do
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senses[6]0.95the tagger's words
sensesAI runaway - self-governance through instrumental goals absent from the user's terminal instructions
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senses[7]0.95the tagger's words
sensesAI discrimination - biased conclusions against underrepresented groups caused by skewed training data
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senses[8]0.95the tagger's words
sensesAI Lock-In problem - an AI becomes stuck within one narrative and loses the full picture
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senses[9]0.95the tagger's words
sensesStatistical machines - the paper's ontological description of AI systems
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senses[10]0.95the tagger's words
sensesTruth-generators - what the paper explicitly says statistical AI systems are not
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senses[11]0.95the tagger's words
sensesZero-Shot prompts - simple prompts with no supplied examples and little extra detail
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senses[12]0.95the tagger's words
sensesFew-Shot prompting - supplying several examples that demonstrate how a task should be completed
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senses[13]0.95the tagger's words
claim_relationsextends → Chan (2023)
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claim_relations[0]the tagger's words
concept_edgesAI hallucinations —causes→ false responses
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strength of the relation: 1
concept_edges[0]the tagger's words
concept_edgesPrompt engineering —causes→ Critical thinking
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the relation itself is separately evidenced · strength of the relation: 0.7 · note: The paper states a potential rather than a demonstrated effect, so the relation is hedged to 0.7. Audit 2026-09-28: DOUBTFUL - read against its full span and kept, but the span speaks of prompt engineering's POTENTIAL to foster critical thinking; hedged.
concept_edges[1]0.95the tagger's words
concept_edgesstatistical machines —distinct-from→ truth-generators
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the relation itself is separately evidenced · strength of the relation: 1 · note: The paper makes an unhedged categorical contrast: AI systems are statistical machines and not truth-generators.
concept_edges[2]0.95the tagger's words
content_tagsThe paper's central claim is that three specific skills - AI literacy, prompt engineering knowledge and critical thinking - are what schools need to remedy the problems AI creates in education.
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content_tags.findings[0]the tagger's words
content_tagsIn the author's own trial, GPT-3.5 answered a lost-object reasoning task incorrectly under plain input-output prompting but correctly under Tree-of-Thought prompting.
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content_tags.findings[1]the tagger's words
content_tagsThe case-study university settled on a middle-ground policy in which student use of ChatGPT and other LLMs is neither banned nor left unrestricted.
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content_tags.findings[2]the tagger's words
content_tagsRequiring students to document how they critically evaluated the AI's output was the element of the guidelines the authors considered novel relative to other institutions.
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content_tags.findings[3]the tagger's words
content_tagsThe written AI guidelines only work if students comply, and compliance is not guaranteed.
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content_tags.findings[4]the tagger's words
content_tagsThe main barrier to teachers adopting AI tools in class is fear rooted in not knowing enough about the technology and expecting to use it wrongly.
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content_tags.findings[5]the tagger's words
content_tagsA year after ChatGPT's release, almost all students in the case-study classrooms had already used it.
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content_tags.findings[6]the tagger's words
content_tagsThe institution has no dedicated person or group tasked with keeping up with AI developments.
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content_tags.findings[7]the tagger's words
content_tagsThe university offers no workshops or training programmes to raise teacher or student competence with AI.
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content_tags.findings[8]the tagger's words
content_tagsAI literacy
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also in: AI literacy
content_tags.definitions[0]the tagger's words
content_tagsprompt engineering
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content_tags.definitions[1]the tagger's words
content_tagscritical thinking
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content_tags.definitions[2]the tagger's words
content_tagsFew-Shot prompting
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content_tags.definitions[3]the tagger's words
content_tagsexpert prompting (EP)
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content_tags.definitions[5]the tagger's words
content_tagsAI Lock-In problem
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content_tags.definitions[6]the tagger's words
content_tagsprompt-wise tabula-rasa problem
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content_tags.definitions[7]the tagger's words
content_tagsToT-context
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also in: ToT-context
content_tags.definitions[8]the tagger's words
content_tagsuniversal and transferrable prompt suffix
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content_tags.definitions[9]the tagger's words
content_tagsAutomatic Prompt Engineer (APE)
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content_tags.definitions[10]the tagger's words

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