Commentary: Deep analysis of epistemic frames and passive participants around argumentation and learning in informal learning spaces

作者:

Highlights:

• Commentary discusses three points of interest highlighted by the current studies in terms of breadth of measured behaviors and characteristics, the commensurability of designs, and the importance and challenge of analyzing learning by passive participants.

• Commentary discusses how datamining strategies might be organized to support future research building on these points of interest.

• Commentary highlights the importance of careful articulation and consideration of learning environment designs in analyzing, comparing, and interpreting theoretical implications across studies.

摘要

•Commentary discusses three points of interest highlighted by the current studies in terms of breadth of measured behaviors and characteristics, the commensurability of designs, and the importance and challenge of analyzing learning by passive participants.•Commentary discusses how datamining strategies might be organized to support future research building on these points of interest.•Commentary highlights the importance of careful articulation and consideration of learning environment designs in analyzing, comparing, and interpreting theoretical implications across studies.

论文关键词:Argumentation,Datamining

论文评审过程:Received 22 September 2014, Accepted 24 March 2015, Available online 8 April 2015, Version of Record 11 September 2015.

论文官网地址:https://doi.org/10.1016/j.chb.2015.03.066