Alves, GustavoArnedo-Moreno, Joanda Silva, Juarez BentoConde, Miguel Á.Costa, António PedroDominguez, AngelesGarcía-Holgado, AliciaGarcía-Peñalvo, Francisco JoséGonzález-González, Carina SoledadJuanes-Méndez, Juan A.Lima, NatérciaMarcos-Pablos, SamuelMarques, ArcelinaMartín-Lucas, JudithMolina-Carmona, RafaelMuñoz-Rodríguez, José ManuelPeixoto, AruquiaPessoa, TeresaPinto-Llorente, Ana MaríaJorge, Joaquim Armando PiresPozzo, M. IsabelSánchez-Gómez, Mª CruzViegas, ClaraVillagrá-Arnedo, Carlos2024-04-082024-04-082023Alves, G. et al. (2022, October 19-21). Trends on Computational Thinking, Engineering Education, Technology in Medicine, Qualitative and Mixed Methods, Diversity in STEM, Lab-Based Education, Technology and Education, Gamification and Games for Learning and Smart Learning at TEEM 2022 [Paper]. In: García-Peñalvo, F.J., García-Holgado, A. (eds) Proceedings TEEM 2022: Tenth International Conference on Technological Ecosystems for Enhancing Multiculturality. TEEM 2022. Lecture Notes in Educational Technology. Springer, Singapore. https://doi.org/10.1007/978-981-99-0942-1_1http://hdl.handle.net/10400.22/25317The 10th edition of the Technological Ecosystems for Enhancing Multiculturality (TEEM 2022) brings together researchers and postgraduate students interested in combining different aspects of the technology applied to knowledge society development, with particular attention to educational and learning issues. This volume includes contributions related to computational thinking, engineering education, technology in medicine, qualitative and mixed methods, diversity in STEM, lab-based education, technology and education, gamification and games for learning and smart learning.engComputational thinkingRoboticsGender gapDiversity gapCultureMedicineGamificationGames in educationRemote labsSmart learningTrends on Computational Thinking, Engineering Education, Technology in Medicine, Qualitative and Mixed Methods, Diversity in STEM, Lab-Based Education, Technology and Education, Gamification and Games for Learning and Smart Learning at TEEM 2022conference object10.1007/978-981-99-0942-1_1