例如，在 Clickbait 上，和最好的基线方法比较，关于 DFFOT 的性能提升为 4.2%，而在 IMDB 上，相应...
Ross N. "AMEE Guide No. 14: Outcomes-based education: Part 4. Outcomes-based learning and the electronic curriculum at Birmingham Medical School". Med Teacher 1999;21:26-31.Ross, N., & Davies, D. (1999). Outcome-based education: Part 4- outcome-based learning and the electronic ...
This outcome was likely due to the mini-game ratings, which the enjoyment model relied on for ranking the game types, being heavily skewed towards the maximum rating of 5 stars across all mini-games. It may also be that explicitly drawing attention to enjoyment through ratings and ...
Logistic regression involves the use of a binary dependent variable (or class) with two categories and is primarily used to predict, as well as to calculate, the probability of a given outcome40. Evolutionary algorithms They are a type of metaheuristic algorithm based on population that involves...
In the second coding scheme on effect size level, we gathered information about the type of dependent variable (e.g., assessed learning outcome) and the raw data that was used to calculate the particular effect size. After three rounds of testing and improving the coding schemes, the first ...
Sequential experimental design to discover interventions that achieve a desired outcome is a key problem in various domains including science, engineering and public policy. When the space of possible interventions is large, making an exhaustive search infeasible, experimental design strategies are needed....
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 ...
Let \({\mathcal {A}}\) be a \((\epsilon ,0)\)-differentially private mechanism and \(q \ge \mathbb {P}[{\mathcal {A}}(d)\ne k^*]\) for some outcome \(k^*\). If \(q < \frac{e^{\epsilon } -1 }{e^{2\epsilon } -1}\), then for any additional information \(...
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....
Learners start from different places and follow different routes to the same learning outcome There is no one right way to learn, no one-size-fits-all. Learners can try many different routes before they achieve their learning outcomes. To be effective, knowledge should be discovered as an ...