Practice Matrix · Micro

AI Literacy and Professional Development

Classroom and learning design · Training, certification and capacity building for students, teaching staff and administrators.

practices
4
Who
2
Where
3
Source report
3

The reading of this intersection

The count in the cell shows density; what the intersection says is carried by the reading below.

Two records place AI literacy inside the learning situation rather than beside it. The first is a published student guide whose rules are operational rather than exhortative: definitions, rules, figures and references are to be verified against at least two reliable sources; the purpose for which the tool was used is to be stated rather than its name; and the course instruction is to be treated as binding, with the guide directing that where use is forbidden the tool is not to be used at all. The second is a module on critical AI literacy offered to students, which makes participation part of study rather than an optional addition to it.

Two further records describe the competence acquired where neither instrument is available. Respondents attribute improved results to their own learning: prompts become specific and goal-directed, extended exchanges are sustained rather than restarted, and use moves from a single general assistant to a set of tools selected for particular purposes. One student describes the effort of explaining a task to the model as itself constituting a learning experience on occasion, which is the strongest pedagogical claim made anywhere in the material in respect of individual use.

The channels through which such learning occurs divide by role, and the division carries implications for equity. Staff describe colleagues and internal knowledge sharing, which are informal but institutionally situated. For students the most common channels are public video and social media, which lie outside the institution altogether. The second round measured the difference underlying this pattern: students reported less access to formal training than staff and relied more heavily on peer collaboration and online resources, and the difference did not narrow between the two survey years.

Who, and where

The actors carrying out the practice and where they are. Where a source does not name the institution, no attribution is made.

Institutions and actors
  • Anadolu University, Open Education Faculty
  • UniDistance Suisse
Countries
  • Türkiye
  • Switzerland
  • Multiple countries
Context
  • Higher education

How it was done

Each record stands with its imprint, its short reading and the sentence found in the source. Quotations are not shortened, so that a reader can check the inference.

A published guide addressed to students positions generative AI as a producer of drafts rather than an authority. It teaches prompt construction from a minimal three-part form up to a five-part template, maps use onto the levels of Bloom's taxonomy, and closes with four practices: withhold identifying data, verify critical claims against at least two sources, treat the course instruction as binding, and state the purpose for which the tool was used.

Institution
Anadolu University, Open Education Faculty
Country
Türkiye
Delivery model
Open and distance
Context
Higher education
Contributed by
Anadolu University
Year
2026
Maturity
Established
Scalability
Embedded
Transferability
Embedded
Source report
AOF-OGR
Evidence

A published document with an ISBN and a registered identifier, which makes the practice inspectable in full rather than reported at second hand.

Önemli bilgilerin en az iki güvenilir kaynaktan kontrol edilmesinin
AOF-OGR, p. 6

A module on critical AI literacy for learning was offered to students from autumn 2025. Placing the subject inside a module rather than a workshop makes participation part of study rather than an optional addition to it.

Institution
UniDistance Suisse
Country
Switzerland
Delivery model
Fully online
Context
Higher education
Contributed by
not stated in the source
Year
2025
Maturity
Piloted
Scalability
Established
Transferability
Embedded
Source report
D3.2
Evidence

Reported by the institution with the term of first delivery; no evaluation of the module is reported, so the record is coded as newly established.

A module on "Critical AI Literacy for Learning" will be offered to the students from autumn 2025.
D3.2, p. 43

Respondents in every group attribute improved results to their own learning: prompts have become more specific and goal-directed, extended exchanges are sustained more deliberately, and use has moved from a single tool to a set of tools selected for particular purposes. Explaining a task to the model is described as constituting a learning experience in itself.

Institution
not stated in the source
Country
Multiple countries
Delivery model
not stated in the source
Context
Higher education
Contributed by
not stated in the source
Year
2026
Maturity
Established
Scalability
Piloted
Transferability
Embedded
Source report
R3
Evidence

Named by the report as one of the most frequently mentioned themes under change over the preceding year, with verbatim quotations from support staff, teachers and students in more than one country.

I've learned how effective prompts work and that the effort involved in explaining to the AI what it should do can sometimes be a learning experience in itself.
R3, p. 3.2.5

Where formal training is absent or limited, competence is acquired through colleagues, peer networks, self-paced material and practical use. The channels differ by role: staff describe internal knowledge sharing and consultation with colleagues, while for students public video and social media are the most common route. The report finds that informal learning acts as a complement to formal provision rather than as a substitute for it.

Institution
not stated in the source
Country
Multiple countries
Delivery model
not stated in the source
Context
Higher education
Contributed by
not stated in the source
Year
2026
Maturity
Established
Scalability
Piloted
Transferability
Embedded
Source report
R3
Evidence

Reported in the third round through a content analysis of the open answers on training and support, and corroborated by the second round, which measured the difference in access to formal training between students and staff.

students relied more heavily on informal learning methods such as peer collaboration and online resources, whereas staff groups had greater access to structured training through workshops, seminars, and institutional programs
D3.2, p. 48