Despite the increasing importance of multiple priors in various domains economics and significant theoretical advances concerning them, choice-based incentive-compatible multiple-prior elicitation largely remains an open problem. This paper develops a solution, comprising preference-based identification subject’s probability interval for event, two procedures eliciting it. The method does not r...

Abstract Environmental policy evaluation is often criticised for employing discount rates that have little grounding in research. Yet, experimental research aimed at eliciting realistic will inevitably require strong assumptions of external validity, while also placing large cognitive demands on subjects by processing tasks increased unfamiliarity. We use a controlled lab experiment to test the...

Investigating transfer of one’s pragmatic knowledge of first language to his second or foreign language has been one of the areas of interest for researchers. However, there are contradictory results even within the scarce studies which have addressed transferability. This study was an attempt to investigate perceived pragmatic transferability of L1 refusal strategies by Persian EFL learners. S...

The purpose of this systematic review is to reveal the research findings that suggest instructional practices foster creativity students in mathematics. Although several studies have investigated effects various influencing mathematical students, little known about how collective body contribute understanding what should be integrated into a mathematic classroom further students. In review, kno...

BACKGROUND Sex and disgust are basic, evolutionary relevant functions that are often construed as paradoxical. In general the stimuli involved in sexual encounters are, at least out of context strongly perceived to hold high disgust qualities. Saliva, sweat, semen and body odours are among the strongest disgust elicitors. This results in the intriguing question of how people succeed in having p...

In this paper, we share a mentorship model developed and implemented while collaborating with pre-service teachers (PSTs) on their Model Eliciting Activity projects the outcomes of in terms PSTs’ growth as well researchers. For projects, PSTs designed own mathematical modeling tasks later analyzed student work collected during task implementations to better understand students’ reasoning. The r...

Probabilistic networks are now fairly well established as practical representations of knowledge for reasoning under uncertainty, as demonstrated by an increasing number of successful applications in such domains as (medical) diagnosis and prognosis, planning, vision, information retrieval, and natural language processing. A probabilistic network (also referred to as a belief network, Bayesian ...

This paper presents an analysis of an annotator’s behaviour during her/his annotation process for eliciting useful information for natural language processing (NLP) tasks. Text annotation is essential for machine learning-based NLP where annotated texts are used for both training and evaluating supervised systems. Since an annotator’s behaviour during annotation can be seen as reflecting her/hi...

This paper identifies a number of factors involved in current practices of usability testing and presents profiles for three prototype methods: think-aloud, subjective ratings, and history files. We then identify ideal levels to generate the profile for new methods. These methods involve either a human observer or a self-administration of the test by the user. We propose methods of automating t...