Author Dai Griffiths

There are two principal specifications for learning analytics interoperability: Caliper, from IMS, and xAPI, from ADL. Around these two specifications are emerging ecosystems of applications and related specifications. In this LACE Review paper Dai Griffiths and Tore Hoel discuss the two specifications, and outline their structure and main features. In many respects xAPI and Caliper perform similar functions, making use of similar concepts. They are, however, quite different in their approaches to development and governance, a difference that is reflected in a different emphasis in the approach to the fit between the specifications and their user groups. The paper is available at 

Is privacy a showstopper for learning analytics? That is the question asked in a new LACE review paper (neatly aligned with the upcoming LACE workshop on Ethical and Privacy Issues in the Design of Learning Analytics Applications at LAK 16). The review considers the dangers that might be raised by learning analytics, explores the ethical perspectives on privacy and data which are relevant to these dangers, and then discusses a number of current proposals from institutions which propose avoid these difficulties. The paper is available here:

LACE has published Towards Learning Analytics Interoperability at the Workplace (LAW Profile) by Fabrizio Cardinali. The paper reports on work done within LACE to move towards a profile of specifications which can meet the learning analytics operability needs of the workplace. It introduces the needs and possible options for interoperating learning analytics within industrial and corporate scenarios and discusses the interoperability process as it relates to the workplace. It then proposes a scenario-based method to drill down to interoperability needs and options for workplace learning. The paper suggests how the community could take action to develop specific profiles and recipes from existing and emerging specifications, with the aim…