Project: Digital Transformation through Life-Long Learning

Contact: David Lamas (david.lamas@tlu.ee)

Position: Junior Research Fellow

Topic: Real-Time Data Pipelines to Enable Forecasting the Nature of Work, Labour-Market Needs and Required Competences

This refers to creating the mechanisms enabling the collection, processing, organisation and delivery of the data required for predicting trends related to job roles, tasks, and skills required in the workforce; understanding the demand for specific skills and competencies in the job market; identifying the essential skills, knowledge, and abilities needed for various roles.

Project: Digital Transformation through Life-Long Learning

Contact: Danial Hooshyar (danial.hooshyar@tlu.ee)

Position: Junior Research Fellow

Topic: Machine Learning-Based Models for Forecasting the Nature of Work, Labour-Market Needs and Required Competences

This refers to using machine learning techniques to gain insights and predict workforce dynamics, labour-market demands, and essential competencies.

Project: Digital Transformation through Life-Long Learning

Contact: Abiodun Ogunyemi (abnogn@tlu.ee)

Position: Junior Research Fellow

Topic: Digitally enhanced inclusive workplace learning

This topic entails establishing how digital tools can be useful in promoting the inclusion of learners with developmental and attention problems by helping them maintain focus and concentration. Exploring how AI can be used to identify and mitigate biases, improve hiring practices, enhance accessibility, and cultivate an inclusive environment, thereby empowering diversity and inclusion in the workplace. Exploring digitally inclusive adult learning practices that have successfully included specific groups at risk of exclusion, such as women, unemployed, offenders, displaced persons, and migrants, can provide valuable insights for designing inclusive learning systems.

Project: Efficiency and Effectiveness of Training for Teachers’ Pedagogical Digital Competence

Contact: Kairit Tammets (kairit.tammets@tlu.ee)

Position: Doctoral Student

Topic: Effects of Training Formats on Teachers' Digital Pedagogical Competence and Students’ Learning

The research will focus on developing teachers’ pedagogical digital competence and its effects on students’ learning.  Intervention studies will be conducted in pre-and in-service teachers to evaluate the effect of training on teachers’ professional development and the impact of teacher’s competence on students’ problem-solving and self-regulation skills in technology-enhanced learning environments.

Contact: Mati Mõttus (mati.mottus@tlu.ee)

Position: Doctoral Student or Junior Research Fellow

Topic: Affective computing

The usability of daily pragmatic interactions with technology, such as using a phone or computer applications, controlling TV and audio equipment, or making withdrawal on an ATM, is well optimized. Usability evaluation tools often propose benchmarks, and designers take usability as naturally granted when buying a product. Pleasure is not expected to be granted, but it makes the difference when the user has a choice. Optimizing the products for pleasure is a field in HCI that requires further contribution on top of existing research. This vision is not targeting a specific application area, but rather pleasure-enabled interactions in general.

Contact: Mikhail Fiadotau (fiadotau@tlu.ee)

Position: Doctoral Student or Junior Research Fellow

Topic: Designing a digital game to promote self-regulated learning in secondary school students

Digital games, unlike many classroom situations, have the ability to offer immediate and personalized feedback to the player. They also offer a safe environment for failure, thus encouraging practice and reflection. As such, in addition to teaching subject-specific knowledge (as most learning games do), games also have the potential to foster reflexivity, metacognitive skills, and self-regulated learning. However, current examples of games that do that have rarely found use outside of their specific research setting or at best a local context. The IB curriculum, which brings together over 5,600 schools in 150 countries, provides a context with much more scalability, impactfulness, and empirical research potential. This doctoral project would be design-based and focus on developing a game for self-regulated learning, targeting science classes in IB schools. Its main research contribution would be identifying and validating principles for designing and integrating learning supports in learning games, specifically in the context of self-regulated learning and metacognition. 

Contact:  Mart Abel (mabel@tlu.ee)

Position: Doctoral Student or Junior Research Fellow

Topic: Segal topological algebras

The task is to develop the theory of general Segal topological algebras based on research of the supervisor and the result known for particular Segal topological algebras (like Segal C*-algebras, Segal Frechet algebras, Segal locally multiplicatively convex algebras etc.)