Mirka Saarela
Biographic Data
| ID | 9551084 |
|---|---|
| NAME | Mirka Saarela |
| GIVEN NAMES | Mirka |
| FAMILY NAME | Saarela |
| SIGNATURE | SAARELA M |
| AFFILIATIONS | University of Jyväskylä |
| ORCID | 0000-0002-1559-154X |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
A critical review and actionable framework for integrating generative AI into teacher professional development
Generative Artificial Intelligence (GenAI) is increasingly influencing teacher professional development, yet systematic understanding of its pedagogical affordances and implementation strategies remains limited. This critical review synthesizes 20 peer-reviewed studies (16 empirical and 4 conceptual) published between 2023 and 2025, examining GenAI framework development, implementation strategies, and affordance analysis in teacher professional d…
Comparing LLM and expert assessments of journal quality
Some performance-based research funding systems rely on expert-assigned journal rankings to allocate resources and guide research evaluation. In Finland, the JuFo system provides journal rankings, determined by experts who assess journals using available metadata, such as bibliometric indicators, alongside qualitative judgment. While prior work has explored machine learning approaches to approximate these rankings, the recent emergence of large l…
Improving learning experience through process re-engineering
The localization of online educational platforms brings many benefits to the students and teachers such as access to different types of textual and video content. Nonetheless, it demands time and capital resources to localize any content. The aim of this research was to re-engineer the entire localization process of Khan Academy content into the Azerbaijani language and evaluate its impact on users’ learning experience. For this purpose, we imple…
A two-phase systematic literature review on the use of serious games for sustainable environmental education
This study explores the landscape of serious games for sustainable environmental education, focusing on game types, theoretical foundations, and pedagogical approaches to provide valuable insights for educators, researchers, and policymakers. Using an umbrella literature review methodology, it examines empirical studies published between 2006 and 2023 on serious games in this field. The findings reveal a growing interest in serious games for sust…
Measuring self‐regulated learning in a junior high school mathematics classroom
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Measuring self‐regulated learning in a junior high school mathematics classroom
Improving learning experience through process re-engineering
The localization of online educational platforms brings many benefits to the students and teachers such as access to different types of textual and video content. Nonetheless, it demands time and capital resources to localize any content. The aim of this research was to re-engineer the entire localization process of Khan Academy content into the Azerbaijani language and evaluate its impact on users’ learning experience. For this purpose, we imple…
A two-phase systematic literature review on the use of serious games for sustainable environmental education
This study explores the landscape of serious games for sustainable environmental education, focusing on game types, theoretical foundations, and pedagogical approaches to provide valuable insights for educators, researchers, and policymakers. Using an umbrella literature review methodology, it examines empirical studies published between 2006 and 2023 on serious games in this field. The findings reveal a growing interest in serious games for sust…
A critical review and actionable framework for integrating generative AI into teacher professional development
Generative Artificial Intelligence (GenAI) is increasingly influencing teacher professional development, yet systematic understanding of its pedagogical affordances and implementation strategies remains limited. This critical review synthesizes 20 peer-reviewed studies (16 empirical and 4 conceptual) published between 2023 and 2025, examining GenAI framework development, implementation strategies, and affordance analysis in teacher professional d…
Comparing LLM and expert assessments of journal quality
Some performance-based research funding systems rely on expert-assigned journal rankings to allocate resources and guide research evaluation. In Finland, the JuFo system provides journal rankings, determined by experts who assess journals using available metadata, such as bibliometric indicators, alongside qualitative judgment. While prior work has explored machine learning approaches to approximate these rankings, the recent emergence of large l…
Computer Science (3 works) · Empirical research (2 works) · Engineering (2 works) · Mathematics education (2 works) · Online Learning and Analytics (2 works) · Psychology (2 works) · Affordance (1 work) · Aptitude (1 work) · Artificial Intelligence (1 work) · Business Process Modeling and Analysis (1 work)