This article examines the purpose and effectiveness of "learning outcomes" within theological education in the face of charges that they primarily serve the needs of managers and bureaucrats rather than educators. Drawing on theories about outcomes and recent evidence-based reflections on their ...
This study aims to determine the effect of learning model and motivation toward the learning result of the training of Micro Hydro Power Plant (PLTMH) at Human resources development Centre of renewable Energy, Renewable Energy and Energy Conservation. The experimental method with the design of treat...
When two AO contingencies are learned concurrently, participants can distinguish the effect of each action because each action produces a different outcome (i.e., left button produces M&Ms and right button produces crackers). Selective contingency degradation will occur when the base rate of one ou...
levels of predictive performance than the elastic net in most cases (average AUC elastic net = 70%, AUC random forest = 75%), suggesting that the features are likely to interact with one another in predicting student retention and might not always be linearly related to the outcome....
We found a significant main effect of condition on learning outcome, F (1, 111) = 5.13, p = .025, partial η2 = 0.04. As can be seen in Table 1, students in the SRL-support condition scored higher than those who did not receive SRL support. 3.2.4. Prior knowledge as possible ...
ContrastiveExplanation (Foil Trees) "provides an explanation for why an instance had the current outcome (fact) rather than a targeted outcome of interest (foil). These counterfactual explanations limit the explanation to the features relevant in distinguishing fact from foil, thereby disregarding irrele...
In the biosciences, quantitative skills are an essential graduate learning outcome. Efforts to evidence student attainment at the whole of degree programme level are rare and making sense of such data is complex. We draw on assessment theories from Sadler (evaluative expertise) and Boud (sustainable...
As the left-hand side of Figure 1 shows, the process initiates with a basic model, typically a single leaf, that predicts the average outcome for the entire dataset. By moving in a left–right direction, as shown in Figure 1, new trees are gradually integrated, with their predictions ...
Causal MARS, Causal Boosting, Pollinated Transformed Outcome ForestsS. Powers et al., “Some methods for heterogeneous treatment effect estimation in high-dimensions,” 2017.code R,code R Bayesian Additive Regression Trees (BART)Hill, Jennifer L. "Bayesian nonparametric modeling for causal inference....
This outcome indicates the generalization ability of the model extends far beyond the boundaries of the training dataset, thereby mitigating the issue of learning bias commonly associated within datasets. Evaluate and compare models by multiple metrics To quantitatively evaluate model performance, we ...