Practice Matrix · Meso

AI Literacy and Professional Development

Institutional governance · Training, certification and capacity building for students, teaching staff and administrators.

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practices

Who

Where

Source report

The reading of this intersection

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

Capacity building is the domain in which institutions have built most extensively and most durably. A training and awareness programme owned by a vice-rectorate carries guides for generalists, teachers and students together with courses for teaching, administrative and service staff. A course on AI in teaching runs within the same learning management system in which staff already teach, alongside an experimentation environment and a regional hub whose materials may be integrated into staff members' own courses. A workspace of materials is published for staff and kept current as new material appears. A staff-facing guide covers course design, assessment, the learning management system, accessibility and the research workflow, and treats data minimisation, disclosure and policy compliance as obligations.

The feature to be noted is ownership. Each of these provisions is held by a named unit with a budget and a mandate, which distinguishes them from the workshops that respondents describe elsewhere as depending on proactive individuals.

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
FernUniversität in Hagen
University of Jyväskylä
Universidad Nacional de Educación a Distancia

Countries

Türkiye
Germany
Finland
Spain

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.

Academic guide to generative AI covering teaching and research workflows

Open the source

The staff counterpart of the student guide addresses academics and researchers. On the teaching side it covers learning outcomes, operations inside the learning management system, assessment and rubrics, accessibility and inclusion. On the research side it covers preparation for literature review, structured reading notes, translation, method and reporting checklists, and reference verification. Data minimisation, disclosure and institutional policy compliance are treated as obligations rather than recommendations.

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-AKA

Evidence

A published document that can be inspected in full, addressed to a named audience and covering both teaching and research workflows.

Temel yaklaşım, teknolojiyi ne “kurtarıcı” ne de “tehdit” olarak görmek

AOF-AKA, p. 5

Moodle course on AI in teaching with an experimentation environment

Resources developed for educators and learners include a course on AI in teaching hosted in the learning management system, an experimentation environment, and a regional hub whose materials teachers can integrate into their own courses. Delivering staff development inside the same system staff already teach in removes one barrier to participation.

Institution: FernUniversität in Hagen
Country: Germany
Delivery model: Fully online
Context: Higher education
Contributed by: not stated in the source
Year: 2025
Maturity: Established
Scalability: Established
Transferability: Established
Source report: D3.2

Evidence

Reported by the institution among a set of resources described together, with the delivery platform named.

the university has developed resources such as a Moodle (LMS) course titled “AI in teaching” aimed at teachers and tutors

D3.2, p. 42

Shared workspace of AI materials for staff

A workspace of materials on the basics of artificial intelligence in university work was published for teachers, researchers and support staff in 2025 and is updated as new material appears. A living workspace answers a difficulty that fixed guidance does not, since the tools change faster than documents are revised.

Institution: University of Jyväskylä
Country: Finland
Delivery model: not stated in the source
Context: Higher education
Contributed by: not stated in the source
Year: 2025
Maturity: Established
Scalability: Embedded
Transferability: Embedded
Source report: D3.2

Evidence

Reported by the institution with the year of publication and the statement that it is kept updated.

The workspace is updated as new material is published.

D3.2, p. 42

Institution-wide training and awareness programme on generative AI use

The vice-rectorate for educational innovation runs a training and awareness programme built on several pillars, accompanied by guides for generalists, teachers and students and by courses for teaching, administrative and service staff. Locating the programme in a vice-rectorate gives it a budget line and a permanent owner.

Institution: Universidad Nacional de Educación a Distancia
Country: Spain
Delivery model: Fully online
Context: Higher education
Contributed by: not stated in the source
Year: 2024
Maturity: Embedded
Scalability: Embedded
Transferability: Embedded
Source report: D3.1

Evidence

The programme is reported with its institutional owner and a public address, and the second round records further guides published under the same structure.

the Vice-rectorate for Educational Innovation has developed a training and awareness programme called ‘Use of Generative Artificial Intelligence’

D3.1, p. 34