Publication details
Learning analytics challenges: trade-offs, methodology, scalability
| Authors | |
|---|---|
| Year of publication | 2020 |
| Type | Article in Proceedings |
| Conference | Proceedings of the Tenth International Conference on Learning Analytics & Knowledge |
| MU Faculty or unit | |
| Citation | |
| Web | https://dl.acm.org/doi/10.1145/3375462.3375463 |
| Doi | http://dx.doi.org/10.1145/3375462.3375463 |
| Keywords | trade-offs; scalability; methodology |
| Description | Ryan Baker presented in a LAK 2019 keynote a list of six grand challenges for learning analytics research. The challenges are specified as problems with clearly defined success criteria. Education is, however, a domain full of ill-defined problems. I argue that learning analytics research should reflect this nature of the education domain and focus on less clearly defined, but practically essential issues. As an illustration, I discuss three important challenges of this type: addressing inherent trade-offs in learning environments, the clarification of methodological issues, and the scalability of system development. |