Manathunga, KHernández Leo2022-03-112022-03-112017Manathunga K, Hérnandez-Leo D. Towards scalable collaborative learning flow pattern orchestration technologies. In: Gómez Chova L, López Martínez A, Candel Torres I, editors. EDULEARN17 Proceedings 9th International Conference on Education and New Learning Technologies; 2017 Jul 3-4; Barcelona, Spain. Valencia: IATED; 2017. p. 6277-86. DOI: 10.21125/edulearn.2017.24222340-1117https://rda.sliit.lk/handle/123456789/1573Collaborative Learning Flow Patterns (CLFPs) structure learning flows to shape desired social interactions among learners leading to fruitful learning gains. It is worthwhile to study the possibilities of CLFP extensions to be applicable in large class contexts and also in Massive Open Online Courses (MOOCs) considering their dynamic, unpredictable nature. This study considers most commonly used patterns for the adaptability in such contexts from different dimensions like pedagogical interest, scalability and other related perspectives. As a result derived from the analysis, a collection of use cases is elaborated illustrating potential collaborative learning opportunities, design requirements, initial screen designs of such activities and expected functionality descriptions for novel CSCL orchestration technologies. One of these use cases is implemented in the PyramidApp tool.enTowards scalablecollaborative learningflow patternorchestratrion technologiesArticle10.21125/edulearn.2017.2422