Teachers primarily used OUA's colour-coded risk flags and VLE activity indicators, ignoring other features¶

Claim · All claims
Evidence · 1 study · qualitative r2 · q1
Currency · newest study 2019 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q1 i? Interviewed teachers focused on students flagged red or amber and on VLE activity levels, while features such as the nearest-neighbour view went unused. → Herodotou 2019

Evidence¶

Herodotou 2019¶

Herodotou, C., Rienties, B., Boroowa, A., Zdrahal, Z., & Hlosta, M. (2019). A large-scale implementation of predictive learning analytics in higher education: the teachers' role and perspective. Education Tech Research Dev, 67, 1273–1306. https://doi.org/10.1007/s11423-019-09685-0

q1 · i? · qualitative · r2

Thematic analysis of six semi-structured interviews (inter-rater agreement 90%) found teachers attended mainly to red/amber flags and VLE activity. The article reports "Other system features, such as the nearest student functionality... were not used by teachers."

"The two main functions teachers found more interesting and helpful when they made use of the OUA dashboard were the OUA colour-coded system indicating students "at risk" (i.e., Fig. 3) and students' activity in the VLE (i.e., Fig. 2)."

Discussion¶

Related Claims¶

• Teachers accessed the OUA dashboard infrequently and irregularly, mostly around assignment submission weeks — related
• Using predictive analytics while ignoring teacher knowledge may misidentify students at risk of dropping out and negatively influence teacher views — related
• In a worked example from real Erasmus+ decisions, some of CourseGraph's nearest-neighbor course mappings matched the program director's and others did not, one plausibly because it ignores differences in learning methods — related