Does Expert Advice Improve Educational Choice?
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ABSTRACT:
SUBMITTER: Borghans L
PROVIDER: S-EPMC4686924 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:We investigated behavioral and neurobiological mechanisms by which risk-averse advice, provided by an expert, affected risky decisions across three developmental groups [early adolescents (12-14 years), late adolescents (15-17 years), adults (18+ years)]. Using cumulative prospect theory, we modeled choice behavior during a risky-choice task. Results indicate that advice had a significantly greater impact on risky choice in both adolescent groups than in adults. Using functional magnetic resonance imaging, we investigated the neural correlates of this behavioral effect. Developmental effects on correlations between brain activity and valuation parameters were obtained in regions that can be classified into (i) cognitive control regions, such as dorsolateral prefrontal cortex (DLPFC) and ventrolateral PFC; (ii) social cognition regions, such as posterior temporoparietal junction; and (iii) reward-related regions, such as ventromedial PFC (vmPFC) and ventral striatum. Within these regions, differential effects of advice on neural correlates of valuation were observed across development. Specifically, advice increased the correlation strength between brain activity and parameters reflective of safe choice options in adolescent DLPFC and decreased correlation strength between activity and parameters reflective of risky choice options in adult vmPFC. Taken together, results indicate that, across development, distinct brain systems involved in cognitive control and valuation mediate the risk-reducing effect of advice during decision making under risk via specific enhancements and reductions of the correlation strength between brain activity and valuation parameters.
| S-EPMC3375892 | biostudies-literature
Project description:People often use expert advice when making decisions in our society, but how we are influenced by this advice has yet to be understood. To address this, using functional magnetic resonance imaging, we provided expert and novice advice to participants during an estimation task. Participants reported that they valued expert advice more than novice advice, and activity in the ventral striatum correlated with this valuation, even before decisions with the advice were made. When using advice, participants compared their initial opinion to their advisor's opinion. This comparison, termed the "opinion difference", influenced advice utilization and was represented in reward-sensitive brain regions. Finally, the left lateral orbitofrontal cortex integrated both the size of the opinion difference and the advisor's level of expertise, and average activity in this area correlated with mean advice utilization across participants. Taken together, these findings provide neural evidence for how advice engenders behavioral change during the decision-making process.
| S-EPMC3504100 | biostudies-literature
Project description: Not available
| S-EPMC8832356 | biostudies-literature
Project description:BackgroundPoor knowledge and the lack of deliberation have been cited as reasons for women making uninformed choices about aneuploidy screening. Adequate pre-test counselling is of particular importance where non-invasive prenatal screening (NIPS) is being increasingly offered as a primary screening test.DesignWomen attending the antenatal clinic with a singleton pregnancy below 14 weeks were randomised to receive routine counselling or the intervention-a 16-min educational video on aneuploidy screening before their consult. The primary outcome, rate of informed choice, was assessed using an adapted multidimensional measure of informed choice questionnaire, where informed choice was defined as good knowledge and value-consistent behaviour. Secondary outcomes included informed choice with deliberation, decisional conflict and anxiety.ResultsTwo hundred and eighty-six women were recruited. 69.8% of women in the intervention group made an informed choice compared with 53.6% in the control group (Risk Ratio [RR] 1.30, p = 0.014). A significantly higher number of women in the intervention group had good knowledge compared to controls (81% vs. 60.9%; RR 1.33, p = 0.001). Decisional conflict did not differ between groups, but women in the intervention group had higher anxiety scores (p < 0.001).ConclusionThe study intervention was effective in helping women make informed choice. Qualitative studies to determine the reason for increased anxiety are needed.Trial registrationTrial registry: ClinicalTrials.gov; Identifier: NCT05492981.
| S-EPMC10107633 | biostudies-literature
Project description:Well-trained clinicians may be able to provide diagnosis and prognosis from very short biomarker series using information and experience gained from previous patients. Although mathematical methods can potentially help clinicians to predict the progression of diseases, there is no method so far that estimates the patient state from very short time-series of a biomarker for making diagnosis and/or prognosis by employing the information of previous patients. Here, we propose a mathematical framework for integrating other patients' datasets to infer and predict the state of the disease in the current patient based on their short history. We extend a machine-learning framework of "prediction with expert advice" to deal with unstable dynamics. We construct this mathematical framework by combining expert advice with a mathematical model of prostate cancer. Our model predicted well the individual biomarker series of patients with prostate cancer that are used as clinical samples.
| S-EPMC5386184 | biostudies-literature
Project description:Study on the microbial community of a bioleaching column test
| PRJEB9810 | ENA
Project description:BackgroundThe overall evidence for adverse health effects of electromagnetic fields (EMF) at levels of exposure normally experienced by the public is generally considered weak. However, whether long-term health effects arise remains uncertain and scientific policy advice is therefore given against a background of uncertainty. Several theories exist about different roles that experts may take when they provide advice on complex issues such as EMF. To provide empirical evidence for these theories, we conducted an expert consultation with as main research question: What are the different roles of EMF experts when they provide policy advice?MethodsQ methodology was used to empirically test theoretical notions on the existence and determinants of different expert roles and to analyze which roles actually play out in the domain of EMF. Experts were selected based on a structured nominee process. In total 32 international EMF experts participated. Responses were analyzed using Principal Component Analysis and for the open questions we used Atlas.ti.ResultsFour expert roles were found. Most striking differences between the four roles are whether experts consider current EMF policies adequate or not, whether additional -precautionary- measures are needed, and how experts view their position vis-à-vis policymakers and/or other stakeholders.ConclusionThis empirical study provides support for the so far mainly theoretical debate about the existence of different roles of experts when they give policy advice. The experts' assessment of the degree of uncertainty of the issue turned out to be highly associated with their role. We argue that part of the controversy that exists in the debate regarding scientific policy advice on EMF is about different values and roles.
| S-EPMC4417251 | biostudies-literature
Project description:BackgroundPatient autonomy in antenatal screening is a high priority for policy developers in many countries.ObjectiveThis paper presents women's understandings of how health professionals should facilitate informed screening choices with an emphasis on their understandings of autonomy and advice.Design, setting and participantsThe study was carried out in 2009 in the UK, using a qualitative approach. Ninety-eight participants of African, British White, Caribbean, Chinese and Pakistani origin had semi-structured interviews, which were analysed using framework analysis.ResultsFour themes were identified during the analysis: 'Meanings of advice in antenatal screening: the advice continuum', 'Recognition of the role of health professionals in decision making', 'Understandings of advice in the context of autonomous decision making' and 'Reasons given for wanting advice'. Women said they valued advice from health professionals to make decisions about antenatal screening, but their understandings of 'advice' ranged from information giving only to direction about screening choices.ConclusionMany women wanted health professionals to support the process of making informed choices by engaging in discussion and did not see advice as incompatible with making autonomous choices. However, some women wanted direction about whether to have a screening test or not, something which policy and guidelines explicitly prohibit. This may cause an ethical dilemma for health professionals who are required to both support women's preference for care and adhere to a policy of non-directiveness. Further clarification is needed on how health professionals should support the process of making informed choices when women ask for clear direction on screening choices.
| S-EPMC5060737 | biostudies-literature
Project description:Artificial intelligence (AI)-generated clinical advice is becoming more prevalent in healthcare. However, the impact of AI-generated advice on physicians' decision-making is underexplored. In this study, physicians received X-rays with correct diagnostic advice and were asked to make a diagnosis, rate the advice's quality, and judge their own confidence. We manipulated whether the advice came with or without a visual annotation on the X-rays, and whether it was labeled as coming from an AI or a human radiologist. Overall, receiving annotated advice from an AI resulted in the highest diagnostic accuracy. Physicians rated the quality of AI advice higher than human advice. We did not find a strong effect of either manipulation on participants' confidence. The magnitude of the effects varied between task experts and non-task experts, with the latter benefiting considerably from correct explainable AI advice. These findings raise important considerations for the deployment of diagnostic advice in healthcare.
| S-EPMC9876883 | biostudies-literature
Project description:Forecasts of the future cost and performance of technologies are often used to support decision-making. However, retrospective reviews find that many forecasts made by experts are not very accurate and are often seriously overconfident, with realized values too frequently falling outside of forecasted ranges. Here, we outline a hybrid approach to expert elicitation that we believe might improve forecasts of future technologies. The proposed approach iteratively combines the judgments of technical domain experts with those of experts who are knowledgeable about broader issues of technology adoption and public policy. We motivate the approach with results from a pilot study designed to help forecasters think systematically about factors beyond the technology itself that may shape its future, such as policy, economic, and social factors. Forecasters who received briefings on these topics provided wider forecast intervals than those receiving no assistance.
| S-EPMC8166153 | biostudies-literature