Albert Weichselbraun, Jakob Steixner, Adrian M P Braşoveanu, Arno Scharl, Max Göbel, Lyndon J B Nixon
Automatic Expansion of Domain-Specific Affective Models for Web Intelligence Applications
Cognitive computation
inquirybased learning gaining popularity science curricula international research development projects well teaching one underlying reasons success significantly improved due recent technical developments allow inquiry process supported electronic learning environments inquirybased learning often organized inquiry phases together form inquiry cycle however different variations called inquiry cycle found throughout literature current article focuses identifying summarizing core features inquirybased learning means systematic literature review develops synthesized inquiry cycle combines strengths existing inquirybased learning frameworks review conducted using ebsco host library total 32 articles describing inquiry phases whole inquiry cycles selected based specific search criteria analysis articles resulted identification five distinct general inquiry phases orientation conceptualization investigation conclusion discussion phases divided subphases particular conceptualization phase divided two alternative subphases questioning hypothesis generation investigation phase divided three subphases exploration experimentation leading data interpretation discussion phase divided two subphases reflection communication framework bringing together phases subphases found literature thus synthesized framework developed describe inquiry cycle phases subphases would present framework inquirybased learning begins orientation flows conceptualization investigation several cycles possible inquirybased learning usually ends conclusion phase discussion phase includes communication reflection potentially present every point inquirybased learning connects phases occur time discussion inaction inquirybased learning looking back discussion onaction