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Josef Guggemos
Former Member
Title
Prof. Dr.
Last Name
Guggemos
First name
Josef
Email
josef.guggemos@unisg.ch
Phone
+41 71 224 26 92
Now showing
1 - 10 of 70
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PublicationAssessing Subjective and Objective Information Literacy at Upper Secondary Schools - An Empirical Study in Four German-Speaking CountriesType: journal articleJournal: International Journal of Learning Technology
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PublicationLearners don’t know best: Shedding light on the phenomenon of the K-12 MOOC in the context of information literacyType: journal articleJournal: Computers & EducationVolume: 188Issue: 104552
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PublicationImproving a MOOC to foster information literacy by means of a conjecture mapType: journal articleJournal: International Journal of Learning Technology (IJLT)Volume: 16Issue: 1
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PublicationNeue Formen der Lernortkooperation mithilfe Künstlicher IntelligenzType: journal articleJournal: Zeitschrift für Berufs- und WirtschaftspädagogikIssue: Beiheft 31
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PublicationZukunft der Arbeit mit intelligenten Maschinen: Implikationen der Künstlichen Intelligenz für die Berufsbildung - Einleitung zum BeiheftType: journal articleJournal: Zeitschrift für Berufs- und WirtschaftspädagogikIssue: Beiheft 31
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PublicationTeaching with and teaching about technology - evidence for professional development of in-service teachersThe digital transformation has implications for how and what to teach. For the purpose of professional development, the paper at hand presents a conceptual framework for predicting the use of technology as a means and as a content of instruction. It is informed by the TPACK framework and the ‘will, skill, tool’ model. The predictors are Technological Knowledge (TK), Technological Pedagogical Knowledge (TPK), Technological Pedagogical Content Knowledge (TPACK), Technological Collaboration Knowledge (TCoK), and Attitudes. These constructs are measured by newly developed self-assessment instruments. Structural equation modeling using a sample of 212 in-service teachers from commercial schools in German-speaking Switzerland lend support to the soundness of the measurement instrument and the conceptual framework. Overall, 36% of the variance of the use of technology as a means and 45% of the variance for the use as the content of instruction can be explained. Mediation and multigroup analyses, a finite-mixture segmentation, comparisons of competing models, and factor score regression yielded evidence for the robustness of the conceptual framework.Type: journal articleJournal: Computers in Human Behavior
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PublicationHumanoid robots in higher education: Evaluating the acceptance of Pepper in the context of an academic writing course using the UTAUTType: journal articleJournal: British Journal of Educational TechnologyVolume: 51Issue: 5
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PublicationTechnology-related knowledge, skills, and attitudes of pre- and in-service teachers: The current situation and emerging trendsType: journal articleJournal: Computers in Human Behavior
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PublicationDigitale Transformation der Hochschullehre: Augmentationsstrategien für den Einsatz von Data Analytics und Künstlicher Intelligenz(Österreichische Gesellschaft für Hochschuldidaktik (ÖGHD), 2020-03)Type: journal articleJournal: Zeitschrift für HochschulentwicklungVolume: 15Issue: 1
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PublicationArbeitswelt 4.0 und Smart Machines: Augmentation als Herausforderung für die PersonalentwicklungType: journal articleJournal: HMD - Praxis der WirtschaftsinformatikVolume: 56Issue: 328