Minna Silvennoinen
Senior researcher
Contact:
- email: minna.silvennoinen@jamk.fi
Jyväskylä University of Applied Sciences
School of Professional Teacher Education
School of Professional Teacher Education
Highest degree:
Doctorate
Degree name:
Doctor in Philosophy, Cognitive science
Area of expertise:
Natural Sciences
Skills:
Multidisciplinary background in cognitive science, education, and technology-enhanced learning. Research currently focuses on human–AI interaction in learning and knowledge work, simulation-based and experiential learning, digital learning environments, learning analytics, and data-informed decision-making. A central theme across these areas is how emerging technologies can support learning, competence development, professional practice, and human decision-making in meaningful and responsible ways.
Since 2005, experience in leading and contributing to numerous national and international research and RDI projects. Work combines research with the design and evaluation of learning environments and practices in authentic educational and professional contexts, often bringing together researchers, educators, technology experts, industry partners, and end users.
PhD in Cognitive Science (2014). Doctoral research, Training Surgical Skills in a Simulated and Authentic Environment, examined expertise development and the learning of complex professional skills at the intersection of cognitive science, simulation, educational technology, and curriculum design. Career also includes entrepreneurial experience in education and educator training.
Currently in a leading role in applied research related to digital transformation, AI-enhanced learning, and future learning environments, with experience in the strategic development of research and RDI activities. Research expertise covers research design and methodology, empirical data collection and analysis, scientific publishing and dissemination, research supervision, and the integration of Master's and doctoral-level research into wider RDI activities.
Experience in research management, evaluation, and scientific quality assurance, including membership in international scientific committees and advisory boards, peer review of scientific publications and conference submissions, and evaluation of research funding applications. Active in international research collaboration and network building, including E³UDRES² and the LEIA Center of Excellence, with particular interest in developing interdisciplinary research initiatives and partnerships around AI, learning, cognition, professional competence, and emerging technologies. Extensive networks span higher education, research, technology, and professional practice across several European countries.
Experience in developing competitive national and European research and innovation proposals, building research consortia, and translating emerging research questions into collaborative project concepts. Current research interests focus on how AI is reshaping human thinking, knowledge work, learning and professional practice – including the division of cognitive work between humans and AI, human agency and critical judgement, collaborative knowledge construction, and reflection and self-regulation. A key research interest is how these transformations challenge existing assumptions about learning and competence and create a need to rethink, rather than simply adapt, higher education, continuous learning, and professional learning for the AI era.
Since 2005, experience in leading and contributing to numerous national and international research and RDI projects. Work combines research with the design and evaluation of learning environments and practices in authentic educational and professional contexts, often bringing together researchers, educators, technology experts, industry partners, and end users.
PhD in Cognitive Science (2014). Doctoral research, Training Surgical Skills in a Simulated and Authentic Environment, examined expertise development and the learning of complex professional skills at the intersection of cognitive science, simulation, educational technology, and curriculum design. Career also includes entrepreneurial experience in education and educator training.
Currently in a leading role in applied research related to digital transformation, AI-enhanced learning, and future learning environments, with experience in the strategic development of research and RDI activities. Research expertise covers research design and methodology, empirical data collection and analysis, scientific publishing and dissemination, research supervision, and the integration of Master's and doctoral-level research into wider RDI activities.
Experience in research management, evaluation, and scientific quality assurance, including membership in international scientific committees and advisory boards, peer review of scientific publications and conference submissions, and evaluation of research funding applications. Active in international research collaboration and network building, including E³UDRES² and the LEIA Center of Excellence, with particular interest in developing interdisciplinary research initiatives and partnerships around AI, learning, cognition, professional competence, and emerging technologies. Extensive networks span higher education, research, technology, and professional practice across several European countries.
Experience in developing competitive national and European research and innovation proposals, building research consortia, and translating emerging research questions into collaborative project concepts. Current research interests focus on how AI is reshaping human thinking, knowledge work, learning and professional practice – including the division of cognitive work between humans and AI, human agency and critical judgement, collaborative knowledge construction, and reflection and self-regulation. A key research interest is how these transformations challenge existing assumptions about learning and competence and create a need to rethink, rather than simply adapt, higher education, continuous learning, and professional learning for the AI era.
Keywords:
Human–AI interactionApplied researchMixed-methods researchResearch designCognitive scienceAIenhanced learningArtificial intelligence in educationLearning and cognitionProfessional learningSimulationbased learningExperiential learningHuman-centred AIKnowledge workHuman agencyCritical thinkingMetacognition