Inleiding zoals die beschreven is in het abstract.
the ability to analyze participation / engagement throughout different levels and how these levels connect, interact and influence learning Another important aspect is dealing with the complexity of living practices in which people learn and the potential added value of learning analytics to raise awareness, help reflect on (social) learning behavior and to connect learners in networks and communities where value is being created.
Network Awareness Tool - Learning Analytics in the workplace: Detecting and Analyzing Informal Workplace Learning
-Network Awareness Tool -Learning Analytics in the workplace: Detecting and Analyzing Informal Workplace Learning Bieke Schreurs, Maarten de Laat
Our research context: Informal workplace learning• Tacit knowledge• Hidden, spontaneous, aimed at solving work related problems• Important driver for professional development• Hard to manage and reward its value• Our research mostly takes place in face-to-face and in work practicesThe problem of “under the radar” informal learning poses an interesting challenge for the field of Learning Analytics, namely finding ways to capture and analyze traces of (social) informal learning in every day life and work networks.
Our research Context: Practice-based research‘Practice-based research is conducted in the real-world context, with real problems, and in collaboration withpractitioners, and therefore it is much more likely to lead to effective application and real change’(Ros & Vermeulen, 2010, Hargreaves, 1996; Van den Akker et al, 2006).
Network Awareness Tool:Creating a social learning browserA web2.0 Tool that, informed by social network analysis, aims to detect and raise awareness about informal networked learning activities within organizationsA user generated tool to gather real time networked data on learning topics that can be updated by the participants when neededContribute to the understanding of informal workplace learning in contemporary face-to-face and virtual environmentsProvide instant and understandable feedback to the usersInteractive and Dynamic dataGain insight into the dimensions of informal networks in organizations
Theoretical Background: Networked Learning‘’Networked Learning is a form of informal learning situated in practice, where people rely strongly on their social contacts for assistance and development’’
Theoretical Background: Social Network TheoryUnderstanding the network structure can reveal important evidence on the information flow and shared knowledge within an organisationThe structural dimension of a network can be investigated by using Social Network Analysis.
Theoretical Background: Social CapitalSocial Capital Theory provides a lens to look more closely at the relational resources embedded in social ties and how actors interact to gain access to these resources
Theoretical Background: Communities of PracticeThe social learning dimension from a collective perspectivereferring to the development of a shared identity within a network of people and the collective development of a particular domain. A shared identity represents a collective intention, mostly related to a certain practice.
What data we collect• Participant demographics• Learning topics• Ego networks around topics• Quality of the Ego network• Strength of the tie: frequency, quality• Content of the interactions
NAT - connecting levels: Dealing with multiple levels at once3 Main perspectives: – Theme’s – tag clouds – based on ‘sets’ defined by content – organizational level – Theme networks – visualization of the relation within a ‘set’ – ‘group’ level – Ego-networks – individual network relations per person and the sets
NAT - connecting levels: How to translate it to Learing Analytics?Individual level: • Are their ways to combine individual learning analytics data of participants in a virtual environment to add information to the individual level of a person’s social learning activities?Tie level: • Are there existing solutions to analyse the quality of a relation, based on frequency and the quality of the interaction based on semantic analysis? (f.e. length of discussions in a forum, levels of discussion topics).Network level: • Are there existing solutions to analyse social learning activities based on semantic analysis?Community level: • Can we use tagging or rating systems to investigate the presence of a “shared language”, “shared identity”, or “common ground”?
ConclusionResearch tool in developmentSocial (Learning) BrowserInstant feedback of the development of social structures and themes(Informal) Learning as a process of value creationDetect multiple (isolated) networks in the organization and connect ideas and stimulate participants to think of solutions to support their own professional development in certain domains.Needed interventions can be discussed, based on the results of the multi method approach
Future Plans• Combining on and off-line• Plugin in Learning Analytics dashboard (f.e. Sociallearn – UKOU)• Dynamic development of social structures & themes – time slider –• Improving social browsing by semantic analysis• Analyzing user activity logs