Instructional advice, time advice and learning questions in computer simulations
نویسندگان
چکیده
منابع مشابه
Instructional advice, time advice and learning questions in computer simulations
Undergraduate students (N = 97) used an introductory text and a computer simulation to learn fundamental concepts about statistical analyses (e.g., analysis of variance, regression analysis and General Linear Model). Each learner was randomly assigned to one cell of a 2 (with or without instructional advice) x 2 (with or without time advice) x 2 (with or without learning questions) between subj...
متن کاملLearning with Expert Advice∗
Surveys on inflation forecasts show that expectations combine forwardlooking and backward-looking elements. In our paper we rationalize this finding in an equilibrium framework. We assume two types of agents, one having rational expectations and the other using adaptive learning in his forecasts, ratio of the two types in the population evolve according to their past forecasting performance. Ou...
متن کاملLearning preferences to provide advice
Finding an appropriate insurance product on the Web can be a difficult and time-consuming process. The majority of insurers continue to build sites that are structured on a corporate orientation rather than customer needs. Customers are left on their own to figure out how to analyse and compare different proposals. In this paper we analyse the application of machine learning techniques in model...
متن کاملActive Learning with Expert Advice
Conventional learning with expert advice methods assume a learner is always receiving the outcome (e.g., class labels) of every incoming training instance at the end of each trial. In real applications, acquiring the outcome from oracle can be costly or time consuming. In this paper, we address a new problem of active learning with expert advice, where the outcome of an instance is disclosed on...
متن کاملTransfer Learning via Advice Taking
The goal of transfer learning is to speed up learning in a new task by transferring knowledge from one or more related source tasks. We describe a transfer method in which a reinforcement learner analyzes its experience in the source task and learns rules to use as advice in the target task. The rules, which are learned via inductive logic programming, describe the conditions under which an act...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Australasian Journal of Educational Technology
سال: 2010
ISSN: 1449-5554,1449-3098
DOI: 10.14742/ajet.1058