2 studenti pie galda, uz galda dators
Photo: Toms Grīnbergs, UL

The University of Latvia (LU) is launching the testing of a student learning support tool based on artificial intelligence (AI) solutions. As part of a pilot project in collaboration with the developers of StudyStash, university lecturers and students will have the opportunity to evaluate in practice how AI solutions can support the student learning process in higher education.

“University of Latvia is delighted to announce a new partnership with an innovative digital tool and study support provider, StudyStash. UL consistently develops a study environment that is open to new digital solutions and innovations. Testing AI tools in the study process is an important step toward modern, student-centered higher education. At the same time, we emphasise that sustainable and meaningful digital solutions can only emerge through close collaboration with students and lecturers—those who will use these tools on a daily basis. It is precisely this co-creation that allows not only the introduction of technologies but also ensures that they provide real added value to the learning process,” says LU Vice-Rector for Studies, Professor Kristīne Strada-Rozenberga

During the testing of the learning tool, it will be assessed how personalised and adaptive AI tools can complement existing course materials in a bilingual model – Latvian and English – and what their practical impact is on the study experience. LU sees this pilot project as an opportunity to practically evaluate how adaptive learning tools can be used responsibly, meaningfully, and with measurable added value across different academic disciplines. 

The collaboration with StudyStash developers is being implemented as a pilot project aimed at gaining evidence-based insights into the effectiveness of AI tools in the context of Latvian higher education. Special attention is being paid to ensuring that new digital solutions serve as support for students’ independent learning processes rather than replacing academic dialogue or the role of the lecturer. 

A key part of the project is the active involvement of students—their experience, feedback, and evaluations will be among the main criteria in assessing the usefulness of the tool and its potential future development. 

Integration of the StudyStash platform with LU’s e-learning environment, Moodle, will allow students to access their study materials in one place and transform them into various feedback and self-assessment formats – summaries, flashcards, quizzes, and a continuously available AI assistant. During testing, it will be analysed whether and how such tools enhance understanding of learning content and improve self-efficacy in the learning process. 

Insights gained from the pilot project will serve as a basis for future decisions on the use of digital solutions in the study process and their adaptation to the European higher education environment. 

The StudyStash platform has been developed based on real student experiences and the need for more flexible, integrated learning tools. Experience at the University of Birmingham, where StudyStash has been implemented, shows that a significant number of students reported reduced study workload and improved academic performance. Currently, StudyStash collaborates with higher education institutions in Europe and the United States. 

“We are truly excited to collaborate with the University of Latvia to test in practice how AI-enhanced learning tools can support students in their daily studies. This collaboration allows us to learn together, analyze results, and develop solutions based on real academic experience,” comments Ben Ward, co-founder and CEO of StudyStash

The data storage infrastructure complies with the requirements of the European Union’s General Data Protection Regulation, as well as LU regulations and internal information security procedures. 

About StudyStash


StudyStash is a UK-based EdTech company that uses AI solutions and research data on effective learning processes to create personalized learning tools. The platform operates in more than 120 languages and is developed in accordance with principles of responsible, secure, and institutionally compliant AI use. 

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