Results 231 to 240 of about 233,188 (306)

Least‐squares estimators of the linear‐by‐linear association parameter from an ordinal log‐linear model

open access: yesAustralian &New Zealand Journal of Statistics, EarlyView.
Summary When modelling the association between the ordinal categorical variables of a contingency table, ordinal log‐linear models are typically used; these models are a variation of the more popular log‐linear model, which has attracted considerable attention in the statistics and allied literature since the late 1960s. Estimating the parameters of an
Eric J. Beh   +2 more
wiley   +1 more source

Investigating the motivational and knowledge affordances of conversational AI using induction, concretization and exemplification in math learning

open access: yesBritish Journal of Educational Technology, EarlyView.
Abstract A promising approach to support students' math learning effectively, automatically and at scale within existing learning environments is conversational artificial intelligence (ConvAI). Although previous studies have suggested ConvAI's potential to guide, facilitate and enhance learning, its effects on students' conceptual change and academic ...
Chenglu Li, Bailing Lyu
wiley   +1 more source

How Can Inflation Contracts Discipline Central Bankers When Agents Are Learning?

open access: yesBulletin of Economic Research, EarlyView.
ABSTRACT This paper studies, in a new Keynesian model with a positive optimal output gap, how to design linear inflation contracts to shape the central bank's incentive structure when private expectations are based on adaptive learning. In this model, under rational expectations, inflation contracts could only partially deal with the time‐inconsistency
Marine Charlotte André, Meixing Dai
wiley   +1 more source

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