93 The European Commission's support for the productionof this publicationdoes not constitute an endorsement of the contents, which reflect the views onlyof the authors, and the Commissioncannotbe held responsible for anyusewhich may bemade of the information containedtherein. Project Number: 2020-1-RO01-KA226-HE-095434 It is used in higher education and supports the particularly demanding conditions of teaching. Makes teaching interactive and more interesting. Enhances the learning outcome. Supports formative evaluation. 12. Web link https://www.mentimeter.com/ 13. References/ online sources Mohin, M., Kunzwa, L., & Patel, S. (2020). Using Mentimeter to enhance learning and teaching in a large class. https://doi.org/10.35542/osf.io/z628v Rudolph, J. (2018). A brief review of Mentimeter – a student response system. Journal of Applied Learning and Teaching, 1(1), 35–37. https://doi.org/10.37074/jalt.2018.1.1.5 Duzhin, F. and Gustafsson, A. (2018) Machine Learning-Based App for SelfEvaluation of Teacher-Specific Instructional Style and Tools. Education Sciences, 8(1), pp.7. Hill, D. L., & Fielden, K. (2018). Using Mentimeter to promote student engagement and inclusion [Conference or Workshop Item]. Pedagogy in Practice seminar, Fusehill Street, Carlisle, UK. University of Cumbria. https://www.cumbria.ac.uk/about/events/universityevents/carlisle---fusehill-street/pedagogy-in-practiceseminar.php Wan, K., Cheung, G. and Chan, K. (2017) Prediction of Students’ Use and Acceptance of Clickers by Learning Approaches: A CrossSectional Observational Study. Education Sciences, 7(4), pp.91. Features. (n.d.). Mentimeter. Retrieved July 24, 2021, from https://www.mentimeter.com/features 14. Additional notes N/A
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