Abstract
Instruments that assess teachers' skills and attitudes on the basis of a broad range of specific standards and demands for teaching with digital technologies are lacking to date. Based on the K19 framework, we validated the scenario-based instrument IN.K19 that simultaneously assesses technology-related teaching skills and attitudes via self-assessment. In our study with N = 90 teachers and student teachers with teaching experience, we demonstrate that the instrument has satisfactory factorial validity in our confirmatory factor analyses. To investigate its predictive validity, we examined the instruments' relationships with teachers' frequency of technology use in class and teachers' initiation of different types of student learning activities involving technology. Results from structural equation modelling show relationships between self-assessed skills in different phases of teaching with technology and the self-reported initiation of student learning activities involving overt actions (active, constructive, and interactive learning activities), supporting the predictive validity of our instrument. Positive attitudes towards technology-related teaching also exhibit positive relationships with the initiation of learning activities involving digital technologies, but more specifically learning activities that do not include observable actions by learners (passive learning activities). Thus, teachers' self-assessed technology-related skills rather than attitudes might contribute to facilitating learning activities crucial for students’ learning.
Dokumententyp: | Zeitschriftenartikel |
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Keywords: | Technology-related teaching skills; Attitudes towards technology-related teaching; Scenario-based assessment; Self-assessment; Student learning activities |
Fakultät: | Psychologie und Pädagogik > Department Psychologie > Empirische Pädagogik und Pädagogische Psychologie |
Themengebiete: | 100 Philosophie und Psychologie > 150 Psychologie
300 Sozialwissenschaften > 370 Bildung und Erziehung |
URN: | urn:nbn:de:bvb:19-epub-84388-5 |
ISSN: | 0747-5632 |
Sprache: | Englisch |
Dokumenten ID: | 84388 |
Datum der Veröffentlichung auf Open Access LMU: | 12. Jan. 2022, 17:59 |
Letzte Änderungen: | 12. Jan. 2022, 17:59 |