Reasoning Ability Research Articles

PENINGKATAN KEMAMPUAN KOMUNIKASI DAN PENALARAN MATEMATIS SISWA MADRASAH ALIYAH MELALUI MODEL PEMBELAJARAN KOOPERATIF TIPE TEAMS GAMES TOURNAMENT

Communication skills and mathematical reasoning are one of the goals of mathematics learning. Where communication is defined as the ability to write, read, listen, study, interpret, and evaluate ideas, symbols, terms, and mathematical information. Meanwhile, mathematical reasoning is a brain habit that if developed properly and consistently will make it easier to communicate mathematics both in writing and orally. Therefore, a relevant learning model is needed to optimize, improve, and develop students' communication and mathematical reasoning skills. One of these learning models is the Teams Games Tournament (TGT) type cooperative learning model. The purpose of this study is to find out: (1) Whether the improvement of communication and mathematical reasoning skills of students who obtain learning with the TGT type cooperative learning model is better than that of students who obtain learning with conventional approaches, and (2) What are the attitudes of students towards mathematics learning who acquire learning with the TGT type cooperative learning model. This study is an experimental research with a pretest-posttest control research design of the design group. The population in this study is all students of class XI MAN Darussalam Aceh Besar consisting of five classes. Meanwhile, the sample consisted of two classes, namely the experimental class and the control class which were taken by random sampling. The instruments used to obtain research data are in the form of communication and mathematical reasoning ability tests, and attitude scale questionnaires. The statistical test used to analyze data on improving communication skills and mathematical reasoning is a two-track anava test, while the attitude scale questionnaire is calculated based on percentages. The results of the study show that the overall improvement of communication and mathematical reasoning skills of students who obtain learning with the Teams Games Tournament type cooperative learning model is better than students who acquire learning with conventional approaches. From the results of the student questionnaire, it was concluded that in general, students have a positive attitude towards mathematics learning using the TGT type cooperative learning model

SYSTEMATIC LITERATURE REVIEW: EFEKTIVITAS PENDEKATAN METAKOGNITIF TERHADAP PENINGKATAN KEMAMPUAN PENALARAN MATEMATIK SISWA

Mathematical reasoning ability is an important ability that students must master, but this ability is still relatively low. The aim of this research is to determine the effectiveness of the metacognitive approach on students' mathematical reasoning abilities. The method used in this research is Systematic Literature Review (SLR). This research used 19 articles from 2018 to 2023 sourced from national and international journals, namely 16 articles with a Sinta index, 2 articles from Google Scholar, and 1 international proceedings journal. The results of the SLR research show that the implementation of the metacognitive approach has an effective impact on students' mathematical reasoning abilities. The metacognitive approach can train students to develop mathematical reasoning abilities

External validation of different predictive scores for symptomatic intracranial hemorrhage after intravenous thrombolysis in Asian stroke patients

ObjectiveThis study aimed to externally validate different predictive scores for symptomatic intracranial hemorrhage (SICH) after intravenous thrombolysis (IVT), with a particular focus on their predictive abilities in Asian stroke patients. MethodsWe retrospectively enrolled stroke patients who received a standard dose of alteplase within 4.5 hours from symptom onset at the First Affiliated Hospital of Dalian Medical University from July 2010 to August 2023. SICH was defined as the hemorrhagic transformation detected on the head CT scan completed within 48 h post-IVT, accompanied by a clinical deterioration of at least a 4-point increase in NIHSS score. Predictive abilities of the HAT, MSS, SEDAN, SPAN-100, and GRASPS scores were tested. Discrimination and calibration were performed using the area under the receiver operating characteristic curve (ROC-AUC), DeLong test, and Hosmer-Lemeshow (H-L) goodness-of-fit test. ResultsThe study included 1007 stroke patients, of whom 31 (3.08 %) developed SICH. ROC-AUCs for predicting SICH were: 0.796 (95 %CI: 0.726–0.866) for the GRASPS score, 0.724 (95 %CI: 0.644–0.804) for the MSS score, 0.715 (95 %CI: 0.619–0.811) for the SEDAN score, 0.714 (95 %CI: 0.611–0.817) for the HAT score, and 0.605 (95 %CI: 0.491–0.720) for the SPAN-100 score (all P < 0.05). DeLong tests showed that the GRASPS score demonstrated significantly better discrimination than the MSS score (P = 0.010), the SEDAN score (P = 0.009), the HAT score (P = 0.049), and the SPAN-100 score (P = 0.000). H-L tests indicated good calibrations which were ranked HAT > SEDAN > MSS > SPAN-100 > GRASPS scores. ConclusionThe GRASPS score showed reasonable predictive ability for SICH, indicating its potential utility for Asian stroke patients receiving IVT.

STELLM: Spatio-temporal enhanced pre-trained large language model for wind speed forecasting

As a renewable and clean energy source, wind energy has caught worldwide attention. To ensure the reliability and stability of wind energy production, wind speed forecasting is of great importance. Although existing forecasting models have shown promising results, they remain relatively small in scale and are incapable of learning comprehensive sequential representations from large-scale data to reason intricate spatio-temporal patterns obscured in entangled wind series. Recently, pre-trained large models have demonstrated impressive performance in natural language processing (NLP) and computer vision (CV). However, large models are rarely applied to wind speed forecasting due to the lack of large-scale wind data for training. To resolve this issue, we propose Spatio-Temporal Enhanced Pre-Trained Large Language Model, namely STELLM, innovatively leveraging the powerful reasoning ability of Large Language Models (LLMs) for accurate wind speed forecasting. Specifically, we first perform the series decomposition to separate wind series data into seasonal and trend components, capturing the distinct properties from disentangled patterns. Then, to empower LLMs with the spatio-temporal modeling capability, we introduce the spatial and temporal prompts, which fuse the geographic distribution information and short-term temporal patterns of wind turbines to enrich the input wind series. Moreover, we leverage an autoregressive fine-tuning strategy to align LLMs with wind series data and learn patch-level representations. Afterwards these representations are fed into a localized spatial module to capture the spatial dependencies between wind turbines. Extensive experiments on four public wind datasets demonstrate the performance superiority of STELLM.

Pendekatan Realistic Mathematics Education Berbantuan Articulate Storyline untuk Meningkatkan Kemampuan Penalaran dan Sikap Percaya Diri

This study aims to detect the Realistic Mathematics Education (RME) approach assisted by Articulate Storyline that can improve the ability of students reasoning and self-confidence in the material for building class IV SD Negeri Pajang 1. This type of research is classroom action research. This research was conducted with a cycle model. The subject of this study was a class IV student. The data collection technique used in this study is observation, a test in the form of a story problem to hone the ability of student reasoning in solving the problem of building space, and a questionnaire to find out the attitude of students' confidence and documentation. The data in this study were analyzed by descriptive analysis. The results of this study indicate an increase in the ability of students reasoning and self-confidence through realistic mathematics education (RME) assisted by Articulate Storyline. This is evidenced by the initial ability to reach an average value of 56.6, in the first cycle reached an average value of 71, and cycle II reached an average value of 87.2. Meanwhile, the initial results of students' confidence reached 29.16%, cycle I reached 45.83%and the second cycle reached 87.50%.

Al-Ghazali’s Thought on Creative Thinking

This article aims to discuss the model of creativity initiated by al-Ghazali. His contribution on creative thinking seems relevant to be studied as an answer to the problem of cheese and stagnant thinking to solve various problems. Creativity that boils down to the ability of reason is not just a creation to seek something new, but there is a divine element emitted to the human mind. Therefore, in facing the problems of the Ummah that arise, creative solutions are needed that are in line with Islamic teachings. However, what happens in society most problems cannot be resolved and even tend to end in conflicts and conflicts between groups. In presenting this concept, al-Ghazali analyzed al-Asmā’ al-Ḥusnās theological terms such as al-Khāliq, al-Bāri’, al-Muṣawwir, al-Badī’. Then relate to other aspects with the power of the internal senses such as common sense, thinking, imagination, estimation, and memory. This article is a literature review that applies qualitative methods through content analysis to express what is written in al-Ghazali’s works. Two findings in this study. First, al-Ghazali’s concept of creativity is principled from al-Asmā’ al-Ḥusnā which is implemented by humans in everyday life by following what is exemplified by Allah, the Almighty, in His attributes. Man’s potential to think creatively follows God’s creativity in creating His creatures. Second, human creativity can be seen from the role and results of the relationship between the five senses and the internal senses of a human being which continues to be developed in daily activities. These two senses work together to show humans the process of how to perceive the surrounding reality and then create to develop it. This implies sincerity in utilizing creativity in thinking to provide solutions to mankind to various problems in life.

Effect of Infection Control Simulation Based on a Negative Pressure Isolation Room Using Mixed Reality.

This study aimed to examine the effectiveness of an infection control simulation using mixed reality, comparing simulation fidelity with a high-fidelity mannequin (MN) group and problem-based learning with written cases group. This study used a three-group pretest-posttest quasi-experimental design. Two universities with similar curricula were conveniently selected, and a total of 72 nursing students were recruited. Participants were randomly assigned to three groups of 24 each. In the final analysis, there were 22 participants in the mixed reality groups, 21 in the mannequin groups, and 23 in the problem-based learning with written cases groups. Data were analyzed using descriptive statistics and the χ 2 , Kruskal-Wallis, and Wilcoxon signed rank tests. The mixed reality groups had a significantly positive effect on clinical reasoning ability and clinical competence than the problem-based learning with written cases groups, whereas the mannequin groups had a significantly positive effect on clinical competence than the problem-based learning with written cases groups. Mixed reality simulation is an appropriate simulation method that enhances learning immersion, satisfaction, and self-confidence in simulation. Additionally, it can substitute for mannequin simulation in terms of clinical reasoning ability and clinical competence. This study suggests that it is important to the various approaches in simulation fidelity to diversely enhance the competency of nursing students in simulation outcomes.

Transformation of Physics Learning: The Use of Powtoon Animation and VAK Model to Enhance Learning Motivation Viewed from Students' Inductive Reasoning Ability

Transformation of Physics Learning: The Use of Powtoon Animation and VAK Model to Enhance Learning Motivation Viewed from Students' Inductive Reasoning Ability

Enhancing Adaptive Reasoning Ability In Senior High School Students Using The Guided Inquiry Method

Enhancing Adaptive Reasoning Ability In Senior High School Students Using The Guided Inquiry Method

Analysis of Adaptive Reasoning Ability in Middle School Students Mathematics Learning

Mathematics is one of the subjects taught in formal educational institutions, which is an important part of efforts to improve the quality of education. Students' adaptive reasoning ability in mathematics is reflected through their critical, logical, and systematic thinking, and their objective, honest, and disciplined nature in solving problems, whether in mathematics, other subjects, or daily life. This study aims to evaluate the adaptive reasoning ability in mathematics of middle school students. This research employs a qualitative approach with a descriptive method. The subjects of this study were 14 students from SMPIT Al-Irsyad Al-Islamiyyah Karawang, grouped into five levels: very high, high, medium, low, and very low. Data were collected from the tests on adaptive reasoning ability in mathematics to understand the students' reasoning abilities. Scores were given to students who answered each question based on the indicators achieved. The highest percentage was obtained on the indicator of forming conjectures, at 48.21%, while the lowest rate was 3.57% on the indicator of finding patterns in a mathematical phenomenon. Overall, the average results for each indicator were: Indicator 1 - 48.21%, Indicator 2 - 26.79%, Indicator 3 - 35.71%, Indicator 4 - 8.93%, and Indicator 5 - 3.57%. Therefore, the average percentage of student achievement in answering the adaptive reasoning ability test in mathematics was 24.64%. It can be concluded that middle school students' mastery of adaptive reasoning ability in mathematics is categorized as low.

Investigating a Novel Approach to Assessing Vocabulary Knowledge

This study explored an alternative approach to assessing individuals’ word knowledge by gauging the ability to recognize subtle similarities and differences among associated terms. Informed by the theoretical and empirical work on relational reasoning, the Measure of Vocabulary Knowledge through Relational Reasoning (MVKR2) was developed and validated. Participants were 338 college students who completed the MVKR2, the Test of Relational Reasoning (TORR), and released items from the SAT Verbal and Math tests. The TORR and SAT tests were administered to examine the convergent and concurrent validities of the MVKR2. Findings from item confirmatory analyses and correlations demonstrated that the MVKR2 is a reliable and valid measure of vocabulary knowledge for college-age students. In addition, fluid relational reasoning ability was associated with the performance on this novel measure, but the association with vocabulary knowledge was stronger. When examined on the scale and item levels, the contribution of fluid relational reasoning varied across scales and items within each scale. This study offered an alternative way to examine vocabulary knowledge that has implications for future empirical research and instructional practice.

Reasoning with the inverse of 3D cardinal direction relations based on direction matrices

In order to improve the ability of intelligent reasoning and prediction of 3DR27 model which presented in our previous work, enhance the usability of this model, and better fulfill the demands of real applications for spatial database, we focused on the problem of reasoning with the inverse of 3D cardinal direction relations between spatial objects. In order to realize automated reasoning, an algorithm for computing the inverse of 3D cardinal direction relations based on matrices is proposed on the basis of the mapping between the 3D rectangular cardinal direction relations and 3D interval relation matrix. This algorithm improves the power of reasoning for this model by means of the excellent properties of matrix operations. Theorems are provided to prove formally that our algorithm is correct and complete. This study realized the automatic inference and calculation of the inverse of the 3D cardinal direction relations based on 3DR27 model and further improved the ability of spatial reasoning and spatial analysis of spatial database.

The Importance of Mathematical Ideas to Learning of Higher Algebra

This article discusses the importance of mathematical ideas in the learning of higher algebra. First of all, this article briefly introduces the core position of higher algebra in the field of mathematics. Then, this article analyzes the mathematical ideas behind these knowledge, such as abstract thinking, inductive classification, and returning. Application in algebra. Further, this article discusses the specific application of mathematical ideological methods in definition and concept formation, solving specific problems, etc., and shows its effects through case analysis. Finally, the article analyzes the impact of mathematical ideological methods on improving students' problem -solving ability, logical thinking and innovative ability.

Addressing the Decline in Clinical Skills: A Call for Comprehensive Educational Reform

Despite technological advances, clinical skills are the foundation of medical practice. Taking a comprehensive clinical history, performing physical examinations, and communicating effectively are crucial for high-quality patient care. Medical students need to focus on developing strong clinical skills to ensure they are well-prepared for their careers and adapt to the evolving field of medicine through continual practice and refinement.1 The medical community is worried about declining essential clinical skills among undergraduate medical students.2,3 This editorial aims to analyze the reasons for the decline and suggest evidence-based methods to address the situation. 05885.0258063. The declining standards of clinical skills among medical students can be attributed to the widespread adoption of technology-based learning, which has the potential to diminish the importance of traditional hands-on bedside teaching.4 Technology should enhance, not replace, practical clinical experiences. Practical training improves the clinical abilities, expertise, and self-assurance of medical students.5 Moreover, the growing magnitude and expansion of medical curricula provide difficulties in the development of educational programs without ample time for bedside practical teaching.6,7 There is frequently an excessive focus on remembering facts rather than on cultivating clinical reasoning abilities.8 The reduced patient interaction during medical school, due to increased reliance on simulations and less time in clinical rotations and bedside teaching, hampers the development of clinical skills.9 External factors such as limited time and extensive paperwork may affect the quality of patient encounters. Efficient communication is crucial for building good relationships with patients, obtaining accurate medical histories, and ensuring patient understanding and adherence to treatment.9 Insufficient training in communication skills can result in less-than-ideal interactions between patients and healthcare providers and can also contribute to errors in diagnosis and medical treatment.10 The provision of trained faculty for teaching medical students is an issue worldwide. Insufficient supervision and feedback during clinical rotations hinder the development of essential clinical skills.11 Larger student cohorts reduce the opportunities for individual students to practice and receive personalized instruction in clinical skills.12 Medical education often prioritizes theoretical testing over practical examinations and undervalues communication skills training. Variability in clinical experiences at different medical schools can lead to inconsistencies in skill acquisition. The scarcity of skilled clinicians as role models impacts students’ learning. Economic constraints and modern healthcare pressures limit opportunities for thorough patient interactions and clinical training.13 THE WAY FORWARD Educational institutions should prioritize hands-on clinical experiences throughout the curriculum to improve students’ diagnostic and communication abilities. These experiences should include simulation-based learning, standardized patients, and longitudinal clerkships. Faculty members need support and resources for effective clinical mentorship and development. Reflective practice should be integrated into the curriculum to enhance self-awareness and critical thinking. Open communication and mentorship programs between students and faculty can strengthen medical training and promote continual learning. To address declining clinical proficiency among medical students, institutions can adopt evidence-based approaches including curriculum changes, faculty training, promoting reflective thinking, collaboration among healthcare professionals, and fostering a culture of ongoing learning. Regulatory bodies should ensure adequate time for bedside teaching and appropriate assessment weightage.

Assessing Spatial and Quantitative Reasoning Abilities in Six-Year-Old School Children: A Comparative Study in Lahore, Pakistan

Assessing Spatial and Quantitative Reasoning Abilities in Six-Year-Old School Children: A Comparative Study in Lahore, Pakistan

HOW ARE STUDENTS' CREATIVE REASONING ABILITIES IN SOLVING STRAIGHT-LINE EQUATION PROBLEMS?

Creative reasoning is a person's ability to solve mathematical problems in a manner of thinking that deviates from the norm, yet remains logical and grounded in a strong mathematical foundation. While crucial for students, many have not yet attained proficiency in creative reasoning, necessitating comprehensive research on the subject. This study aims to elucidate students' creative reasoning abilities in tackling straight-line equation problems, focusing on indicators such as creativity, plausibility, and anchoring. Employing a qualitative approach with a case study design, the research involved three students from Madrasah Tsanawiyah who had studied straight-line equations. The primary instrument was the researcher, supported by a creative reasoning ability description test and interviews. Data collection utilized triangulation techniques, encompassing tests and interviews. Analysis of the research findings entailed describing students' creative mathematical reasoning abilities for each creative reasoning indicator in straight-line equation material. Results indicated that while students could provide correct and reasonable arguments in solving mathematical problems, they struggled to devise alternative methods and employ strategies based on mathematical concepts. Consequently, they only met the plausibility criterion, falling short in creativity and anchoring. Thus, it can be concluded that students have not yet achieved creative reasoning proficiency in solving straight-line equation problems.

PENGARUH MODEL PEMBELAJARAN BERBASIS MASALAH PADA MATERI STATISTIKA TERHADAP KEMAMPUAN PENALARAN STATISTIK DAN HABITS OF MIND SISWA SMPN 1 WANASABA

This research aims to determine the effect of problem-based learning models on statistics material on the statistical reasoning abilities and habits of mind of students at SMPN 1 Wanasaba. The study utilized a quasi-experimental design with a Non-Equivalent Control Group Design. The population consisted of all seventh-grade students at SMPN 1 Wanasaba, totaling 225 students. The sample included class VII B as the control group with 30 students and class VII C as the experimental group with 30 students. Data collection instruments included a test of statistical reasoning abilities and a habits of mind questionnaire. The data on students' statistical reasoning abilities and habits of mind were normally distributed, and their variances were homogeneous. The t-test results indicated that there was a difference in the average statistical reasoning abilities and habits of mind between the experimental and control groups, with the experimental group showing superior average statistical reasoning abilities and habits of mind compared to the control group. In conclusion, the problem-based learning model on statistics material has a partial effect on the statistical reasoning abilities and habits of mind of students at SMPN 1 Wanasaba.

An insight into the concept of neuroinflammation and neurodegeneration in Alzheimer's disease: targeting molecular approach Nrf2, NF-κB, and CREB.

Alzheimer's disease (AD) is a most prevalent neurologic disorder characterized by cognitive dysfunction, amyloid-β (Aβ) protein accumulation, and excessive neuroinflammation. It affects various life tasks and reduces thinking, memory, capability, reasoning and orientation ability, decision, and language. The major parts responsible for these abnormalities are the cerebral cortex, amygdala, and hippocampus. Excessive inflammatory markers release, and microglial activation affect post-synaptic neurotransmission. Various mechanisms of AD pathogenesis have been explored, but still, there is a need to debate the role of NF-κB, Nrf2, inflammatory markers, CREB signaling, etc. In this review, we have briefly discussed the signaling mechanisms and function of the NF-ĸB signaling pathway, inflammatory mediators, microglia activation, and alteration of autophagy. NF-κB inhibition is a current strategy to counter neuroinflammation and neurodegeneration in the brain of individuals with AD. In clinical trials, numbers of NF-κB modulators are being examined. Recent reports revealed that molecular and cellular pathways initiate complex pathological competencies that cause AD. Moreover, this review will provide extensive knowledge of the cAMP response element binding protein (CREB) and how these nuclear proteins affect neuronal plasticity.

Use of Case-Based Clinical Reasoning in Medical Education at Libyan International University: A quantitative Study.

Background: Clinical instruction in medical education is a complex and challenging task for educators. It requires students to not only possess theoretical knowledge but also a range of competencies such as clinical reasoning, technical skills, decision-making, ethics, leadership, and time management. Clinical reasoning, which encompasses the cognitive process and decision-making in clinical practice, is a fundamental skill for physicians. The aim of the study was to understand students' views on the use of case-based clinical reasoning (CBCR) in their medical training and evaluate their satisfaction with its application as an instructional approach for developing clinical reasoning abilities. Participants and Methods: A descriptive quantitative study was conducted at the Libyan International Medical University (LIMU) to gather data on the utilization of case-based clinical reasoning (CBCR) in medical training. The study focused on 412 medical students in the clinical phase, including 4th and 5th-year students and intern doctors at LIMU. Data were collected through an online questionnaire over a two-month period from January to March 2023. The analysis was based on 129 responses, representing a 30.1% response rate. The questionnaire consisted of 22 questions, including multiple-choice and Likert scale inquiries, and aimed to assess students' satisfaction in three dimensions: perceived benefits and drawbacks of CBCR in medical education, skill enhancement and its impact on self-assurance and teamwork, and the role of LIMU in successfully implementing the program. Data analysis was performed using the SPSS software, with a statistical significance level set at p &lt; 0.05. Results: The study found that students perceive several benefits of using case-based clinical reasoning (CBCR) in their medical training. These benefits include the accumulation of knowledge and the improvement of skills such as teamwork, communication, critical thinking, reasoning, and self-directed learning abilities. A significant majority of students, approximately three-quarters of the sample, endorsed the use of CBCR with their peers and colleagues. Almost all respondents agreed that CBCR helps them make informed decisions in their daily practice and boosts their confidence in advancing their medical careers (93% and 86.8% agreement, respectively). Higher satisfaction levels were reported among fifth-year students and during the internship phase. However, fourth-year students expressed more dissatisfaction with CBCR, finding it time-consuming and facing challenges in formulating hypotheses for data collection. In conclusion, the study highlights the importance of adopting a proactive approach in medical education to promote educational innovation. Employing case-based clinical reasoning (CBCR) is found to be effective in developing clinical competencies, fostering collaboration, enhancing self-assurance, and cultivating critical thinking abilities among students.

Exploration of the catalytic, anti-bacterial, and anti-oxidant capabilities of environmentally conscious zinc oxide nanoparticles synthesized using Citrus sinensis

Zinc oxide nanoparticles have been fabricated via a sustainable protocol from the fruit juice of Citrus sinensis. The SEM and TEM analyses were employed to ascertain the morphology and particle size of the nanoparticles, unveiling a spherical shape and a particle size ranging from 40 to 60 nm. XRD study suggested that the nanoparticles were crystalline. FT-IR analysis displayed bands for the possible phytochemicals involved in the bio-reduction and capping of the nanoparticles. The nanoparticles' ability to inhibit the growth of four bacterial strains-Staphylococcus aureus, Bacillus subtilis, Escherichia coli, and Pseudomonas aeruginosa was evaluated to determine their antimicrobial effectiveness. The nanoparticles showed significant anti-microbial action against the tested strains. DPPH assay was accomplished to evaluate the anti-oxidant activity of the nanoparticles, wherein a reasonable free radical scavenging ability of 65.87 % (IC50 = 366.37 μg/mL) was attained. The nanoparticles displayed substantial catalytic activity for the reduction of the organic dye-malachite green. The dye degradation of 91.87 % was achieved in 21 min and the reaction kinetics was pseudo-first-order. The nano-catalyst was reusable for three sequential cycles of the reduction reaction and no substantial decrease in its catalytic potential was observed. Hence, the eco-friendly approach to synthesizing zinc oxide nanoparticles proved to be successful and the nanoparticles exhibited an array of promising applications.