Correct Information Research Articles

The Reduction of Blood Pressure in Elderly People with Hypertension Through Morning Walk Therapy

Background: Hypertension in the elderly is a very dangerous disease because without early indications it can cause sudden death. The prevalence of people with hypertension in the Burneh Health Center in 2021 is 15.935 people (11.29%). The proportion of elderly with hypertension is 1,820 elderly men (0.10%) and 1,670 elderly women (0.09%). Purpose: This study aims to analyze the effect of morning walking physical activity on reducing systolic blood pressure in elderly people with hypertension. Method: This study was conducted in the village of Burneh, Bangkalan, East Java, Indonesia from May to June 2022. The research design used a Quasy Experiment with a Pre-test and Post-test approach, the independent variable in this study was physical activity therapy for morning walks and the dependent variable systolic blood pressure in elderly with hypertension. The sample size is 14 elderly with purposive sampling technique. Data analysis used the Paired t-test. Results: The results of the statistical test obtained p-value = 0.041 <0.05 indicating that there was a difference in systolic blood pressure before and after being given physical activity therapy for the morning walk. Most of the respondents (57.14%) experienced a decrease in systolic blood pressure with an average decrease of 8.72 mmHg. Conclusion: Therapeutic physical activity walking in the morning has a significant effect on systolic blood pressure in elderly people with hypertension. Health workers need to provide correct information about the benefits of morning walks for elderly people with hypertension and monitor the consistency of sufferers.

Why Do Social Media Users Accept, Doubt or Resist Corrective Information? A Qualitative Analysis of Comments in Response to Corrective Information on Social Media

ABSTRACT Although the widespread application of corrective information has been found to lower the credibility of misinformation, there may be important sources of resistance among social media users that potentially limit the effectiveness of fact-checking, warning messages, and community-based verifications. Yet, to date, we lack an inductive and context-bound understanding of users’ responses to these different applications, and the reasons why users distrust or avoid corrections online. Against this backdrop, this paper relies on an in-depth qualitative content analysis of responses to different forms of corrective information on Facebook, Twitter, and TikTok. The study’s main findings inform a typology of resistance consisting of (1) expressing doubts on the selection biases of corrective information; (2) challenging the evidence and conclusions of corrective information; (3) blaming the correction for being biased and/or partisan and (4) labeling the correction or intervention as disinformation itself. The implications for journalism practice and content moderation are discussed.

Design of optical telescopes for laser field wavefront reconstruction in gravitational-wave detectors

Pick-off beams in Interferometric Gravitational Wave Detectors are often used to derive information on the field circulating in the interferometer. In order to retrieve the wavefront of the field at some chosen location, an optical system has to be deployed so to image the desired field characteristics to an optical bench and ultimately to suitable sensors. In this paper, we detail the requirements in terms of Gouy Phase and ABCD matrix for such an optical system to provide the correct information. We show also that by designing the optical system with adequate Gouy Phase evolution, the same kind of transformation holds true not only for the fundamental Gaussian mode, but also for both even and odd Higher Order Modes (HOMs) of the main interferometer beam. This is important because these HOMs are excited by the aberrations of the optical elements in the interferometer, and carry the information one is interested to. Simulations with two tools (Finesse and Zemax OpticsStudio®) are provided to confirm the analytical results obtained using Gaussian modes expansion of a generic field.

An Analysis of ChatGPT4 to Respond to Glaucoma-Related Questions.

In recent years, ChatGPT has been widely used as a source of information. In our study, it was revealed that ChatGPT gives accurate information about glaucoma. We examined the knowledge of ChatGPT about glaucoma. Frequently asked questions about glaucoma found on websites of ophthalmology associations and hospitals, and social media applications were assessed. Evidence-Based Recommendations in the European Glaucoma Society Terminology and Guidelines for Glaucoma, Fifth Edition were evaluated. Using the ChatGPT-4, each question was asked twice on different computers to assess the reproducibility of answers. The answers provided were recorded and 2 specialist ophthalmologists evaluated them independently, assigning scores ranging from 1 to 4. The answers to all questions about glaucoma resulted in 88.7% completely correct, 7.5% correct but insufficient, and 3.8% misleading information and correct information. No question was answered completely incorrectly. While 85.8% of the general knowledge questions were answered correctly, 91.7%, 86.6%, and 91.7% of questions about diagnosis, treatment, and prevention were answered correctly, respectively. The number of questions prepared based on the European Glaucoma Society Terminology and Guidelines for Glaucoma was 16. The rate of completely correct answers to these questions was 75.0% (12). While 3 (18.8%) answers were correct but insufficient, 1 response (6.3%) contained false information and correct information. Our study revealed that ChatGPT answered 9 out of 10 questions about general information, diagnosis, treatment, and preventive and follow-up about glaucoma with acceptable and satisfactory accuracy rates. In addition, 3 of 4 answers given by ChatGPT were completely correct according to Terminology and Guidelines for Glaucoma.

Abbreviations in medical records: arguments for and against

There is often a need for fast and effective communication in modern medicine. Time is often critical when providing care to multiple patients. Medical abbreviations are a form of shorthand that allows healthcare professionals to communicate with one another easily. However, the time and expense of writing acronyms are reduced in case they are clear and familiar to every person involved in communication. Misunderstanding between members of the medical staff often lead to misinterpretations of acronyms and hazard to patients’ health and lives. The aim of this study is to identify and analyze such interrelated phenomena as positive and negative sides of using abbreviations as a way of terminology in medicine, arguments of each of the positions, in order to reduce negative consequences of using abbreviations in modern medical documentation. The material of the study is abbreviations used in modern medical practice. The method of continuous sampling of medical abbreviations from scientific literature and medical documentation was used. The results of the study showed that the most common errors associated with the use of medical abbreviations were the ones in prescribing, incorrect dose/quantity and incorrect preparation of medication. About 80 % of the abbreviations contained in the notes and statements that were handed out were unclear to patients and required clarification by health care providers. Medicine must be based on accurate and correct information, literacy of professional actions, and a sense of the highest responsibility. In this regard, it is necessary to use only standard abbreviations and introduce a ban on the use of abbreviations with ambiguous interpretation. Information in prescriptions, instructions, and statements should be clear and unambiguous, in order to avoid awkward and mundane situations affecting the quality of patients’ perception of the information. All of these factors can contribute to the improvement of the quality of medical care and the patient’s quality of life accordingly.

Assessing informativeness in Spanish-speaking individuals with primary progressive aphasia

ABSTRACT Background Primary progressive aphasia (PPA) is a neurodegenerative disorder associated with atrophy of the frontotemporal region. It is primarily characterized by language impairments that become accentuated over time, often leading to isolation and social exclusion. There are three main subtypes, the semantic (svPPA), non-fluent (nfvPPA), and logopenic (lvPPA) variants, each presenting distinct language deficits, as captured by standard assessment batteries. However, such assessments often fail to adequately identify functional communication (dis)abilities in everyday life, which is crucial for effective diagnosis and treatment. One understudied aspect of communication is informativeness, the conveyance of an appropriate amount of information in an efficient fashion. Aim This study aimed to identify the unique features of each variant of PPA that distinguish it from healthy controls, and the dissimilarity across PPA groups, in terms of the effectiveness and efficiency with which Spanish-speaking individuals with PPA conveyed information. Methods and procedures Thirty-two Spanish-speaking patients with one of the three variants of PPA and 11 healthy individuals were audio-recorded performing a picture description task. The resulting recordings were transcribed, and the contents labelled according to whether they constituted relevant or off-topic content, each type of content being further divided into subcategories. In total, 51 parameters related to the (1) overall amount of speech and number of correct information units, (2) amount of relevant content, (3) completeness of the content, and (4) off-topic information were considered. Nonparametric analyses were conducted to assess the divergence from heathy controls of each PPA group, and the dissimilarity across PPA groups. Outcomes and results Results revealed disruptions in informativeness in all PPA variants compared to controls, with lvPPA characterized by inadequate content and a high concentration of off-topic elements, nfvPPA by inadequate content but efficient delivery, and svPPA by inadequate content delivered inefficiently. Conclusions This study revealed that all three variants of PPA are characterized by reduced informativeness, although each exhibits unique patterns in communicative efficiency and the presence of off-topic information. By assessing the total amount of relevant speech, efficiency in conveying content, and the presence of off-topic elements, this research enhances our understanding of the distinct communication impairments characterizing lvPPA, nfvPPA, and svPPA, and provides valuable insights that can be applied to developing tailored remedial strategies.

Gaming with health misinformation: a social capital-based study of corrective information sharing factors in social media.

Correction is an important tool to reduce the negative impact of health misinformation on social media. In the era of "I share, therefore I am" social media, users actively share corrective information to achieve the "anti-convincing" effect of health misinformation. Focusing on the local Chinese context, this study constructs a structural equation model using social capital as a mediating variable to explore whether usage of Chinese users' social media can promote corrective information sharing by influencing the structural, cognitive, and relational dimensions of social capital and the role of health literacy in corrective information sharing. It was found that social media use did not significantly affect corrective information share willingness but significantly influenced share willingness through social interaction connections, trust, and shared experiences, and share willingness significantly influenced sharing behavior. The moderating effect showed that health literacy played a significant moderating effect in the influence of corrective information share willingness on sharing behavior. This study introduces the three dimensions of social capital at the theoretical level and finds that users will share corrective information for the purpose of social capital accumulation. It also provides empirical evidence for specific practices, including improving users' health literacy and actively mobilizing them to participate in the blocking and management of health misinformation in social media.

A novel flexible exponent power-X family of distributions with applications to COVID-19 mortality rate in Mexico and Canada.

This paper aims to introduce a novel family of probability distributions by the well-known method of the T-X family of distributions. The proposed family is called a "Novel Generalized Exponent Power X Family" of distributions. A three-parameters special sub-model of the proposed method is derived and named a "Novel Generalized Exponent Power Weibull" distribution (NGEP-Wei for short). For the proposed family, some statistical properties are derived including the hazard rate function, moments, moment generating function, order statistics, residual life, and reverse residual life. The well-known method of estimation, the maximum likelihood estimation method is used for estimating the model parameters. Besides, a comprehensive Monte Carlo simulation study is conducted to assess the efficacy of this estimation method. Finally, the model selection criterion such as Akaike information criterion (AINC), the correct information criterion (CINC), the Bayesian information criterion (BINC), the Hannan-Quinn information criterion (HQINC), the Cramer-von-Misses (CRMI), and the ANDA (Anderson-Darling) are used for comparison purpose. The comparison of the NGEP-Wei with other rival distributions is made by Two COVID-19 data sets. In terms of performance, we show that the proposed method outperforms the other competing methods included in this study.

RELATIONSHIP OF KNOWLEDGE LEVEL ABOUT HYPERTENSION WITH DIETARY COMPLIANCE IN HYPERTENSION SUFFERERS RT 007 / RW 004 SUKARINGIN VILLAGE BEKASI IN 2022

Hypertension is one of the most dangerous health problems around the world because hypertension is the main risk factor leading to cardiovascular disease. The emergence of health problems is not only caused by the ignorance of society as a result of the lack of correct information about a disease. This is because the low knowledge makes patients not know how to implement a hypertensive diet, where the lack of patients looking for information about the hypertensive diet affects health and a healthy lifestyle. This study aims to find out the relationship between knowledge levels and dietary compliance in the Sukaringin region, Bekasi regency. The research method used is quantitative with a cross sectional type of analytical research. The population of this study is the people in Sukaringin village. Based on the results of the study there is a relationship of knowledge level with adherence to hypertensive diet in Sukaringin village.

How to Make Computer-Based Feedback More Productive: The Power of Erroneous Solutions

This research aims to expand our understanding of how to facilitate student feedback engagement processes in a computer-based formative assessment environment. In the present research, we designed a new type of elaborated feedback in terms of combining the correct solution and the erroneous solution, and the erroneous solution matched the student’s initial answer. Furthermore, we analyzed whether this feedback had a stronger positive effect than the other three types of feedback containing different complexities of correct information (i.e., Knowledge of Correct Response, Problem-Solving Cues, or Complete Correct Solutions). As predicted, students who received correct and erroneous solutions experienced more positive feedback perceptions, perceived lower extraneous cognitive load and higher germane cognitive load, and achieved higher transfer performance. This research is one of the first that provides empirical evidence for the positive impact of incorporating students’ errors into the feedback design, and this novel insight can extend current theories on how to optimize feedback design to promote students’ active processing and use of feedback.

How competent are cat owners in caring for their cats?

Objective. This study was conducted to determine the perceptions of cat owners in Türkiye regarding the welfare conditions of their cats and their attitudes and knowledge levels during the care of their cats. Materials and methods. The research material consists of data obtained from questionnaires conducted with 494 cat owners. Results. Among cat owners, 98.6% kept cat food in closed boxes and 93.5% took precautions to prevent their cats from accessing household chemicals. In this study, according to the answers given by the participants to the questionnaire questions, statistically significant differences were found between the options in terms of their answers to all other questions, except for the answers given by the cat owners to the questions of whether they use nets for their cats on the windows and/or balconies of their houses and the frequency of changing the litter of their cats (p<0.01). Conclusions. It was determined that the majority of cat owners were generally correct and adequate in terms of their attitudes and knowledge levels during the care of their cats. However, it has been determined that cat owners do not have sufficient and correct information and preferences about using nets for their cats for protective purposes in the windows and balconies of their houses, giving their cats additional foods such as sausage, salami, sausage.

Methodological characteristics of statistical support of regional innovation policy

Aim. To identify the possibilities of expanding the general sample of organizations involved in the provision of statistical data regarding the issues of innovation activity implementation to improve the quality of information in decision-making within the framework of regional innovation policy implementation.Objectives. To determine the significance of statistical information for the processes of strategic planning in the country and regions; to identify the problems of adequate reflection of innovation activity in modern Russian statistics; to establish the deviations of the methodological apparatus of Rosstat from the recommendations of the Oslo Manual; to analyze some statistical parameters of innovation activity in the regions of the North-West of Russia; to develop recommendations for changing the approaches of Rosstat to the organization of statistical observation in the sphere of innovation activity.Methods. The article characterizes the state of innovation statistics in the country on the basis of analysis methods. The method of pair correlation allowed to reveal the inconsistency of the parameters of innovation activity of organizations with the key economic indicators of regional development.Results. The authors have identified two main directions of expanding the general sample of organizations when conducting innovation statistics: a larger-scale inclusion of service sector enterprises in the list of surveyed organizations and a decrease in the number of personnel of organizations, starting from which organizations are obliged to provide statistical information on the issues of innovation activity, from 15 to 10 people. In addition, the article substantiates the necessity of applying in Russia the subject approach to the statistical survey of innovation activity of enterprises, which contributes to the identification of factors that affect the innovation activity of organizations, and the assessment of such an impact, taking into account regional characteristics.Conclusions. The change of approaches to innovation statistics will provide the authorities in the regions with correct information for more effective realization of regional innovation policy.

Evaluating the Predictive Modeling Performance of Kernel Trick SVM, Market Basket Analysis and Naive Bayes in Terms of Efficiency

Among many corresponding matters in predictive modeling, the efficiency and effectiveness of the several approaches are the most significant. This study delves into a comprehensive comparative analysis of three distinct methodologies: Finally, Kernel Trick Support Vector Machines (SVM), market basket analysis (MBA), and naive Bayes classifiers invoked. The research we aim at clears the advantages and benefits of these approaches in terms of providing the correct information, their accuracy, the complexity of their computation, and how much they are applicable in different domains. Kernel function SVMs that are acknowledged for their ability to tackle the problems of non-linear data transfer to a higher dimensional space, the essence of which is what to expect from them in complex classification are probed. The feature of their machine-based learning relied on making exact confusing decision boundaries detailed, with an analysis of different kernel functions that more the functionality. The performance of the Market Basket Analysis, a sophisticated tool that exposes the relationship between the provided data in transactions, helped me to discover a way of forecasting customer behavior. The technique enables paints suitable recommendation systems and leaders to make strategic business decisions using the purchasing habits it uncovers. The research owes its effectiveness to processing large volumes of data, looking for meaningful patterns, and issuing beneficial recommendations. Along with that, an attempt to understand a Bayes classifier of naive kind will be made, which belongs to a class of probabilistic models that are used largely because of their simplicity and efficiency. The author outlines the advantages and drawbacks of its assumption in terms of the attribute independence concept when putting it to use in different classifiers. The research scrutinizes their effectiveness in text categorization and image recognition as well as their ability to adapt to different tasks. In this way, the investigation aims to find out how to make the application more appropriate for various uses. The study contributes value to the competencies of readers who will be well informed about the accuracy, efficiency, and the type of data, domain, or problem for which a model is suitable for the decision on a particular model choice.

INFORMATION MANAGEMENT OF MASS COMMUNICATION

Natela Beridze E-mail: nat.beridze.1983@bsu.edu.ge Doctor of Social Sciences in Mass Communication, Professor St. Tbel of the Patriarchate of Georgia School named after Abuserisdze University Batumi Georgia https://orcid.org/0009-0003-5439-0550 Edward Mikeladze E-mail: edu-777@bsu.edu.ge Academic Doctor of Economics, Professor St. Tbel of the Patriarchate of Georgia Abuserisdze Educational University Batumi Georgia https://orcid.org/0009-0001-5746-3351 Abstract: Information management in modern Georgian mass media is a completely new research and innovation. In this article, for research purposes, we talk about the functions of information media, and as a recommendation, the ways and methods of manipulating people through information communications are discussed. Peer technologies are also considered significantly for research. As we know, the media is mostly engaged in covering such issues as: education, health care, poverty, current events in the world. However, we should also not forget that the media plays a major role in fostering national self-awareness. The media is the main informant, a kind of transfer for the society on social, economic, political and cultural issues both inside and outside the country. "Communication affects culture, although it contributes to social and economic development. It mobilizes society and demands the appropriate attention from them." (Wilmer Shrem) The main function of information media management is the development of an organizational structure that facilitates the provision of correct information to the public. Media has a great influence on society, especially this influence is observed on human psychology. If for a long time the society thought it unbelievable to achieve various goals through the media, today it can be considered a normal occurrence. This was caused by the development of technology and the entry into the field of mass communication of the economy. The media can both lower people's worldview and its decline, informational regression. Thus, information management is the process of functional management of information. Its essence lies in the fact that a clear result is obtained by coordinating information, which is possible through top managers. Keywords: information management, PR technologies, advertising, manipulation, media economy, electronic technology. JEL classification: Q1; 01; 03

The effect of response modality on witness statements when using the self-administered interview

The Self-Administered Interview (SAI©) elicits comprehensive initial statements from witnesses and can enhance subsequent statements. However, the SAI© requires a written response that may have disadvantages compared to a spoken account. This study tested the effect of SAI©’s response modality and its subsequent impact on a delayed retrieval attempt. After watching a mock crime, participants completed a Spoken-SAI©, Typed-SAI© or no-SAI©. Four days later, participants read a news report with misleading post-event information (PEI) and, after another 3 days, completed a free recall and a recognition test. The Spoken-SAI© required less time to be completed than the Typed-SAI© but elicited accounts with a comparable amount of correct information and accuracy. Providing an initial account using the SAI© (vs. no-SAI©) produced more detailed accounts 1 week later regardless of response modality but did not reduce the susceptibility to misleading PEI. This provides valuable insight for improving the SAI© and its applicability.

A method for correcting InSAR interferogram errors using GNSS data and the K-means algorithm

Correcting interferometric synthetic aperture radar (InSAR) interferograms using Global Navigation Satellite System (GNSS) data can effectively improve their accuracy. However, most of the existing correction methods utilize the difference between GNSS and InSAR data for surface fitting; these methods can effectively correct overall long-wavelength errors, but they are insufficient for multiple medium-wavelength errors in localized areas. Based on this, we propose a method for correcting InSAR interferograms using GNSS data and the K-means spatial clustering algorithm, which is capable of obtaining correction information with high accuracy, thus improving the overall and localized area error correction effects and contributing to obtaining high-precision InSAR deformation time series. In an application involving the Central Valley of Southern California (CVSC), the experimental results show that the proposed correction method can effectively compensate for the deficiency of surface fitting in capturing error details and suppress the effect of low-quality interferograms. At the nine GNSS validation sites that are not included in the modeling process, the errors in the ascending track 137A and descending track 144D are mostly less than 15 mm, and the average root mean square error values are 11.8 mm and 8.0 mm, respectively. Overall, the correction method not only realizes effective interferogram error correction, but also has the advantages of high accuracy, high efficiency, ease of promotion, and can effectively address large-scale and high-precision deformation monitoring scenarios.Graphical

A Two-Step Regional Ionospheric Modeling Approach for PPP-RTK.

In the precise point positioning/real-time kinematic (PPP-RTK) technique, high-precision ionospheric delay correction information is an important prerequisite for rapid PPP convergence. The commonly used ionospheric modeling approaches in the PPP-RTKs only take the trend term of the ionospheric total electron content (TEC) variations into account. As a result, the residual ionospheric delay still affects the positioning solutions. In this study, we propose a two-step regional ionospheric modeling approach that involves combining a polynomial fitting model (PFM) and a Kriging interpolation (KI) model. In the first step, a polynomial fitting method is used to model the trend term of the ionospheric TEC variations. In the second step, a KI method is used to compensate for the residual term of the ionospheric TEC variations. Datasets collected from continuously operating reference stations (CORSs) in Hunan Province, China, are used to validate the PFM/KI method by comparing with a single PFM method and a combined PFM and inverse distance weighting interpolation (IDWI) method. The experimental results show that the two-step PFM/KI modeled ionospheric delay achieves an average root mean square (RMS) error of 1.8 cm, which is improved by about 48% and 23% when compared with the PFM and PFM/IDWI methods, respectively. Regarding the positioning performance, the PPP-RTK with the PFM/KI method takes an average of 1.8 min or 4.0 min to converge to a positioning accuracy of 1.3 cm or 2.5 cm in the horizontal and vertical directions, respectively. The convergence times are decreased by about 18% and 14% in the horizontal direction and 9% and 5% in the vertical direction over the PFM and the PFM/IDWI methods, respectively.

Universal and Language-Specific Connected Speech Characteristics of Bilingual Speakers With Alzheimer's Disease: Insights From Case Studies of Structurally Distinct Languages.

Connected speech analysis has been effectively utilized for the diagnosis and disease monitoring of individuals with Alzheimer's disease (AD). Existing research has been conducted mostly in monolingual English speakers with a noticeable lack of evidence from bilinguals and non-English speakers, particularly in non-European languages. Using a case study approach, we characterized connected speech profiles of two Bengali-English bilingual speakers with AD to determine the universal features of language impairments in both languages, identify language-specific differences between the languages, and explore language impairment characteristics of the participants with AD in relation to their bilingual language experience. Participants included two Bengali-English bilingual speakers with AD and a group of age-, gender-, education-, and language-matched neurologically healthy controls. Connected speech samples were collected in first language (L1; Bengali) and second language (L2; English) using a novel storytelling task (i.e., Frog, Where Are You?). These samples were analyzed using an augmented quantitative production analysis and correct information unit analyses for productivity, fluency, syntactic and morphosyntactic features, and lexical and semantic characteristics. Irrespective of the language, AD impacted speech productivity (speech rate and fluency) and semantic characteristics in both languages. Unique language-specific differences were noted on syntactic measures (reduced sentence length in Bengali), lexical distribution (fewer pronouns and absence of reduplication in Bengali), and inflectional properties (no difficulties with noun or verb inflections in Bengali). Among the two participants with AD, the individual who showed lower proficiency and usage in L2 (English) demonstrated reduced syntactic complexity and morphosyntactic richness in English. Evidence from these case studies suggests that language impairment features in AD are not universal across languages, particularly in comparison to impairments typically associated with language breakdowns in English. This study underscores the importance of establishing connected speech profiles in AD for non-English-speaking populations, especially for structurally different languages. This would in turn lead to the development of language-specific markers that can facilitate early detection of language deterioration and aid in improving diagnosis of AD in individuals belonging to underserved linguistically diverse populations. https://doi.org/10.23641/asha.25412458.

Analyze the Impact of Nuclear Energy on Many Aspects of Life Cycles—Review

AbstractEnergy has long been seen as an important factor in meeting needs of people, in order to sustain and support the economic growth and livelihood. To understand the various technological processes in the nuclear power life cycle, it is first necessary to know the types of fuels used today. There are two types of gasoline in use today, “open” and “partially closed,” respectively, referred to as “single cycle” (OTC) and “double cycle” (TTC). A distinction must be made between “partial” closed fuel cycles, as they apply to current critical (thermal neutron spectrum) reactor technology, which is limited to two passes, and “full” closed cycles, which allow for greater circulation of spent oil but must be used. Fast reactors (FR) are included in the reactor fleet. Many recoveries of FR—already proven but not yet widely used in industry—will lead to reduced demand for uranium mining. In this section, references to “closed” fuel cycles include “partially” closed cycles, i.e., TTCs. What type, if any, is the correct content or information in question? Analysis of the world's energy consumption in recent years shows that the world's energy consumption has increased by 50% in less than a decade.

Promoting scientific understanding and conceptual change in young children using explanations and guidance.

Evaluating evidence and restructuring beliefs based on anomalous evidence are fundamental aspects of scientific reasoning. These skills can be challenging for both children and adults, especially in domains where they possess inaccurate prior beliefs that can interfere with the acquisition of correct scientific information (e.g., heavier objects fall faster than light ones). Across two experiments, we examined the additive benefit of combining explanations with guided activities to promote conceptual change. In Experiment 1 (N = 238), 4- and 5-year-olds were randomly assigned to one of three conditions: guidance with explanations, guidance only, or baseline. The guided conditions varied only in the presence or absence of conceptual information (i.e., explanation about gravity). Pre- and posttest measures showed that children's predictions improved from both guided conditions compared to the baseline condition but did not significantly differ from each other. Experiment 2 (N = 80, 5-year-olds) included a delay test and assessed children's learning through the justification of their predictions. Although children's performance at the immediate posttest improved in both conditions, in the guidance only, children's performance returned to the pretest levels of understanding after the delay. Children in the guidance with explanations condition had greater understanding at posttest, retained this understanding long term, and transferred it to objects with the same weight. These findings highlight the role of explanations in aiding children's long-term learning from anomalous evidence in guided activities. (PsycInfo Database Record (c) 2024 APA, all rights reserved).