References Citekey: @Verbeek2008-qt
Verbeek, P.-P. (2008). Cyborg intentionality: Rethinking the phenomenology of human–technology relations. Phenomenology and the Cognitive Sciences, 7(3), 387–395. https://doi.org/10.1007/s11097-008-9099-x
Notes Summarize: An illuminating essay about hybrid intentionality and human–technology relations.
Particularly relevant to current thinking on learning analytics. The author has also written on “moralizing technology” and “design for socially responsible behavior”. Worth checking…
Highlights Abstract This article investigates the types of intentionality involved in human– technology relations.
References Citekey: @Hickey2017
Notes Summarize: This chapter introduces the Participatory Learning and Assessment (PLA) framework derived by Dan Hickey and his team in the “BOOC” context. PLA distinguishes different kinds of interactions that include public, local, private, and discreet. It explains PLA’s five design principles, which draw inspiration from productive disciplinary engagement (PDE).
Use Public Contexts to Give Meaning to Knowledge Tools Recognize and Reward Productive Disciplinary Engagement (PDE) Evaluate/Grade Artifacts through Local Endorsements and Reflections Assess Individual Knowledge Privately Measure Aggregated Achievement Discreetly They commened that scaling should be done gradually and iteratively.
References Citekey: @Cress2013-av
Cress, U., Barron, B., Fischer, G., Halatchliyski, I., & Resnick, M. (2013). Mass collaboration - An emerging field for CSCL research. In CSCL Proceedings (Vol. 1, pp. 557–563).
Highlights The participants in such communities are not just a mass of learning individuals or passive consumers; they actively produce meaningful content and act as “prosumers” (O’Reilly, 2006; Tapscott & Williams, 2006). (p. 2)
the symposium on long-tail learning at the CSCL conference in 2009 (Brown & Adler, 2008; Collins, et al 2009) (p.
References Citekey: @Mattarelli2018-mn
Mattarelli, E., Schecter, A., Hinds, P., Contractor, N., Lu, C., & Topac, B. (2018). How Co-creation Processes Unfold and Predict Submission Quality in Crowd-based Open Innovation. Presented at the Thirty Ninth International Conference on Information Systems, San Francisco, CA: aisel.aisnet.org. Retrieved from https://aisel.aisnet.org/cgi/viewcontent.cgi?article=1042&context=icis2018
Highlights In crowd-based open innovation, organizations generally invite novel contributions from outside the boundaries of the firm via an online platform that enables a large, diverse network of contributors to participate.