Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Ari Alamäki

Biographic Data

ID9973941
NAMEAri Alamäki
GIVEN NAMESAri
FAMILY NAMEAlamäki
SIGNATUREALAMÄKI A
AFFILIATIONSHaaga-Helia University of Applied Sciences
ORCID0000-0003-4525-8243
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
AUTHOR COUNT3
EDITOR COUNT0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Artificial Intelligence and Digital Competencies: An Importance–Performance Analysis of Future Mathematics Teachers’ Perceptions

    Open Access•Pilar Gómez‐Rey, Salvador Angosto Sánchez et al.•ARTICLE•Education Sciences•2026

    This study examines how future mathematics teachers perceive the importance of AI-related and digital competencies and their self-reported performance in these areas. The study was conducted in a Mathematics Education course in Spain with 198 Primary Education students. Using an Importance–Performance Map Analysis (IPMA) framework, the questionnaire assessed six dimensions: AI awareness, AI usage, AI evaluation, AI ethics, AI trust, and digital s…

  • Artificial intelligence literacy in sustainable development: A learning experiment in higher education

    Open Access•Ari Alamäki, Crister Nyberg et al.•ARTICLE•Frontiers in Education•2024

    Introduction The purpose of this empirical research was to map the capabilities and perceptions of undergraduate business administration students about artificial intelligence (AI) and its potential to answer questions related to sustainable transition in society, and to obtain information about the suitable pedagogical solution to increase the knowledge and understanding related to these themes. Methods The data was gathered among higher educati…

  • An Experiment of AI-Based Assessment: Perspectives of Learning Preferences, Benefits, Intention, Technology Affinity, and Trust

    Open Access•Ari Alamäki, Umair Ali Khan et al.•ARTICLE•Education Sciences•2024

    The rising integration of AI-driven assessment in education holds promise, yet it is crucial to evaluate the correlation between trust in general AI tools, AI-based scoring systems, and future behavioral intention toward using these technologies. This study explores students’ perspectives on AI-assisted assessment in higher education. We constructed a comprehensive questionnaire supported by relevant studies. Several hypotheses grounded in the li…

No prominent works on this page.

  • Artificial intelligence literacy in sustainable development: A learning experiment in higher education

    Open Access•Ari Alamäki, Crister Nyberg et al.•ARTICLE•Frontiers in Education•2024

    Introduction The purpose of this empirical research was to map the capabilities and perceptions of undergraduate business administration students about artificial intelligence (AI) and its potential to answer questions related to sustainable transition in society, and to obtain information about the suitable pedagogical solution to increase the knowledge and understanding related to these themes. Methods The data was gathered among higher educati…

  • An Experiment of AI-Based Assessment: Perspectives of Learning Preferences, Benefits, Intention, Technology Affinity, and Trust

    Open Access•Ari Alamäki, Umair Ali Khan et al.•ARTICLE•Education Sciences•2024

    The rising integration of AI-driven assessment in education holds promise, yet it is crucial to evaluate the correlation between trust in general AI tools, AI-based scoring systems, and future behavioral intention toward using these technologies. This study explores students’ perspectives on AI-assisted assessment in higher education. We constructed a comprehensive questionnaire supported by relevant studies. Several hypotheses grounded in the li…

  • Artificial Intelligence and Digital Competencies: An Importance–Performance Analysis of Future Mathematics Teachers’ Perceptions

    Open Access•Pilar Gómez‐Rey, Salvador Angosto Sánchez et al.•ARTICLE•Education Sciences•2026

    This study examines how future mathematics teachers perceive the importance of AI-related and digital competencies and their self-reported performance in these areas. The study was conducted in a Mathematics Education course in Spain with 198 Primary Education students. Using an Importance–Performance Map Analysis (IPMA) framework, the questionnaire assessed six dimensions: AI awareness, AI usage, AI evaluation, AI ethics, AI trust, and digital s…

Computer Science (2 works) · Mathematics education (2 works) · Psychology (2 works) · Advanced Statistical Modeling Techniques (1 works) · Applications of artificial intelligence (1 works) · Artificial Intelligence (1 works) · Biomedical and Engineering Education (1 works) · Curriculum (1 works) · Digital literacy in education (1 works) · Educational Leadership and Innovation (1 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae