Understanding Of Ability Research Articles

Augmented reality's impact on STEM learning

Introduction: Augmented Reality (AR) is an emerging technology with potential to enhance STEM (Science, Technology, Engineering, and Mathematics) education. This study investigates the impact of implementing AR in STEM learning. Objectives: To evaluate the effectiveness of AR in enhancing students' motivation, understanding, academic performance, and problem-solving abilities in STEM disciplines. Methods: A mixed methods approach with a quasi-experimental design was employed. The study involved 180 university students and 12 STEM instructors from various programs. Data collection methods included standardized tests, questionnaires, interviews, observations, and artifact analysis. Results: The AR group showed significant improvements in academic performance, motivation, and attitudes toward STEM subjects compared to the control group. Qualitative data supported AR's potential to create more engaging and interactive learning experiences. Students reported better understanding of complex concepts and increased interest in STEM fields. Conclusions: Integrating AR in STEM education can enhance academic performance, motivation, attitudes, and comprehension of complex concepts. These findings support the importance of exploring and implementing AR technology in STEM educational settings to improve learning outcomes and foster student engagement.

DLSW-YOLOv8n: A Novel Small Maritime Search and Rescue Object Detection Framework for UAV Images with Deformable Large Kernel Net

Unmanned aerial vehicle maritime search and rescue target detection is susceptible to external factors, which can seriously reduce detection accuracy. To address these challenges, the DLSW-YOLOv8n algorithm is proposed combining Deformable Large Kernel Net (DL-Net), SPD-Conv, and WIOU. Firstly, to refine the contextual understanding ability of the model, the DL-Net is integrated into the C2f module of the backbone network. Secondly, to enhance the small target characterization representation, a spatial-depth layer is used instead of pooling in the convolution module, and an additional detection head is integrated into the low-level feature map. The loss function is improved to enhance small target localization performance. Finally, a UAV maritime target detection dataset is employed to demonstrate the effectiveness of the proposed algorithm, whose results show that DLSW-YOLOv8n achieves a detection accuracy of 79.5%, which represents an improvement of 13.1% compared to YOLOv8n.

Identifying the Mathematical Concept Understanding Ability of Junior High School Students in Learning Linear Function Material

Understanding mathematical and mathematical concepts is one of my fundamental abilities. Therefore, it is necessary to teach mathematics by emphasizing concept understanding so that students are trained to solve problems with the concepts they understand appropriately. This study aims to analyze the knowledge of mathematical concepts of students at junior high school level grade VIII on linear function material. This research is qualitative research with a descriptive method. The research subjects were VIII grade students, as many as 33 students. Data collection through two description questions was then analyzed according to the ability of high, medium, and low student categories. Furthermore, direct interviews were conducted to obtain more in-depth information about students' understanding of mathematical concepts. The results showed that 39.39% of students had high-category mathematical concept understanding ability (ST), 6.06% of students in the medium category (SS), and 54.55% of students in the low category (SR). ST fulfills all indicators with the correct answer, and SS fulfills all indicators, but the answers produced could be more precise. SR cannot apply concepts, so it only fulfills some indicators, which results in errors in solving problems.

Penerapan model pembelajaran RADEC untuk meningkatkan pemahaman konsep pada materi sistem pernapasan manusia Siswa Kelas V SD

Conceptual understanding ability is a skill in which students can explain a matter or concept of knowledge with their personal understanding. However, students' conceptual understanding related to science learning, especially on the material of the human respiratory system is still lacking. This study aims to determine how the application of the RADEC learning model in improving concept understanding in human respiratory system material for grade V elementary school students. This research used experimental method with quasi experimental design nonequivalent control groups design. The results showed that the pretest of students' concept understanding ability was highest with a score of 60 with an average score of 33. After the application of the RADEC learning model, the posttest value of students' concept understanding was highest in the very good category with a score of 100 with an average score of 82. The increase in students' understanding of concepts in human respiratory system material after applying the RADEC learning model has increased significantly as evidenced by the n-gain results on students' pretest and posttest scores with a result of 0.72 which is in the high category indicating that there is an increase in understanding of high category concepts after the application of the RADEC learning model of human respiratory system material.

Experimental Design of Wireless Sensor Network Simulation Teaching Based on OBE Concept

In response to the problem that students cannot effectively master the theoretical knowledge of wireless sensor networks, this study proposes an outcome-based education (OBE) guided teaching method and designs a simulation experiment on wireless sensor networks using the NS3 simulation platform. In the experiment, access point (AP) and station (STA) nodes are set up to present different network environments, and the transmission layer protocols (TCP and UDP) are changed to analyze different network performance. Through the analysis of experimental results, students can gain a vivid understanding of the basic knowledge of wireless sensor networks and achieve the expected teaching goals. This teaching method helps improve students' understanding and application ability of wireless sensor network theory, and promotes their learning and research in related fields.

Analysis of Ability to Understand Mathematical Concepts Class Students XI in Geometric Transformation Materials

The low ability of students to understand mathematical concepts is proven by the majority of students not being able to reformulate the solution to the problem given. This research aims to describe students' ability to understand mathematical concepts for each indicator so that it is known which indicators students experience problems with. The method used in this research is descriptive qualitative. The instruments in this research are test and interview instruments. The research subjects were 26 students of class XI Science 1 SMAN 5 Sukabumi City. Data were analyzed using data reduction, data presentation, and drawing conclusions. In data reduction, researchers summarize the data and classify the data. Based on the results of data analysis, it was concluded that students with high and medium abilities had excellent concept understanding abilities in restating a concept, classifying objects according to the concept, and presenting concepts in various forms of mathematical representation. while students with low abilities are in the good category. Highly capable students are able to restate the concepts they have learned and apply concepts or problem solving algorithms very well. Meanwhile, students with medium and low ability are in the sufficient category. In linking various concepts, high, medium and low ability students have quite good ability to understand mathematical concepts.

THE INFLUENCE OF A PROBLEM-BASED LEARNING MODEL ASSISTED BY SPIN WHEEL MEDIA ON THE CONCEPTUAL UNDERSTANDING ABILITY OF CLASS IV PRIMARY STUDENTS IN THE ENERGY SOURCES MATERIAL

This research aimed to (1) know the differences in conceptual understanding between students using a Problem-Based Learning (PBL) model assisted by spinning wheel media and students using the conventional method in energy resources material, (2) describe the influence of the PBL model assisted by Spin Wheel media 4th-grade elementary school students on the conceptual understanding ability of energy sources, and (3) describe students' responses on the implementation PBL model assisted by Spin Wheel media on energy source material. The type of research used was quasi-experimental research with a quantitative approach. The population in this study was all class IV students, totalling 57 students. Sampling used a total sampling technique. The sample selected in this research was class IV B students, totalling 29 students in the experimental class and 28 class IV A students in the control class. The instruments used in this research were conceptual understanding ability test sheets and student response questionnaires. The data analysis technique used a two-independent sample t-test, effect size, and percentage of student response questionnaires. The results of the research showed that (1) there was a difference in the conceptual understanding ability of students who used the PBL model assisted by Spin Wheel media with students who used the conventional method on energy source material with the result tcount > ttable = 3.5146 > 2.004, (2) the PBL model assisted by Spin Wheel media had a high influence on the conceptual understanding fourth-grade students on energy sources material with an effect size result of 0.967; (3) students response were positive to PBL model assisted by Spin Wheel media with a percentage of 93% in the very high category. So, the results from this study can be concluded that there was an influence of the PBL model assisted by Spin Wheel media on students' conceptual understanding ability on energy sources material.

Analysis of the Development of Augmented Reality Based Learning Media on High School Physics Material

One of the purposes of using information and communication technology is to increase the efficiency and effectiveness of learning. One technology that can be used is augmented reality (AR) technology. One innovation that can be developed is the development of AR-based learning media. This research discusses the effectiveness of developing Augmented Reality (AR)-based learning media in an effort to increase students' understanding of high school physics material. To measure the level of effectiveness, it is seen from the results of the Validation Test from material experts, media experts, as well as responses from surveys conducted among practitioners. This research is due to students' low understanding in studying physics material which is very difficult to imagine or understand because the concepts are abstract. Therefore, there is a need for innovative learning media so that abstract physics concepts can be explained by visualizing them using Augmented Reality (AR). The research method used was a quantitative approach and literature study as a data collection method. This research took 10 references related to research objectives published from 2017 to 2023. From the analysis carried out, it was found that the use of Augmented Reality (AR) in physics learning can improve students' understanding abilities in physics learning.

Comparative Analysis of Students' Biology Learning Outcomes: Memory and Understanding Aspects

Purpose of the study: This research aims to analyze the learning outcomes of 11th-grade students by examining how they answer questions using memory aspects, evaluate the overall learning outcomes of the class, and identify the differences in learning outcomes between students who use memory aspects and those who use comprehension aspects to solve questions. Methodology: This study is a true experimental study. The population in this study were all students of Public High School 6 South Bengkulu totaling 142 people. The sample was taken using a random sampling technique of 42 people was obtained. This study used a learning outcome test instrument in form of multiple choice questions. Data analysis techniques used include descriptive statistics and inferential statistics. Main Findings: The analysis shows that students' abilities are in the moderate category. Biology learning outcomes are in the high category. The results of the hypothesis test show that the significance value is less than 0.05, so Ho is rejected and Ha is accepted, which means that there is a significant difference in the learning outcomes of class XI science students at Public High School 6 South Bengkulu who use memory and understanding aspects in answering questions. Novelty/Originality of this study: This type of study can provide valuable insights into the effectiveness of both cognitive abilities in understanding and remembering information in the context of learning Biology subjects. In addition, this study can also provide information to educators about more effective ways to help students learn and remember subject matter better.

Efektivitas Model Pembelajaran Examples Non Examples dengan Media Geogebra terhadap Kemampuan Pemahaman Konsep Matematika Siswa

This research aims to analyze the effectiveness of students' conceptual understanding abilities at SMPN 16 Semarang in spatial construction material by utilizing the example non-example learning model with GeoGebra media. This research uses an experimental design with a posttest-only control group and is a form of quantitative research. Class VIIIH was used as the experimental class, and class VIIIG was used as the control class. Samples were obtained using a cluster random sampling approach. Tests and documentation are used in research data collection procedures. The results showed that the average post-test score for experimental class students was while the average post-test score for control class students was From the t-test calculations, the values obtained are and with a sig value. 0.05. Students in the experimental class showed a better level of understanding of mathematical concepts than students in the control group; this can be seen from the findings, which show that tcount > ttable. Therefore, it can be concluded that the Example Non-example model, which utilizes geogebra media increases students' conceptual understanding of spatial construction material.

Meningkatkan Kemampuan Pemahaman Matematis Siswa Melalui Model Problem Based Learning di SMA Negeri 2 Medan

Mathematics is a vital discipline, yet it is often considered complicated by students. This results in their low mathematical understanding, which is very important in learning mathematics to solve problems more easily and relate the concepts understood. “This study used a class action research method (PTK) on students of class XI IPA-3 SMA Negeri 2 Medan in the 2023/2024 academic year, totaling 36 people. In this study, data were collected through observation sheets, learning outcome tests, and documentation to evaluate the mathematical understanding ability of students in class XI-IPA 3 at SMA Negeri 2 Medan. The results showed a significant improvement after the application of the Problem Based Learning (PBL) learning model, as seen from the results of the initial ability test, cycle I test, and cycle II test”.

Embedded Technology Teaching Research and Practice under the Model of Integrated Discipline Competition Project

Embedded technology and application, as the core course of the electronic communication major, is an important professional course for students to engage in embedded software and hardware development in the future. Given the difficulty of embedded courses in theory and the high requirement of practical ability, this paper takes the title of the National Electronic Design Competition for College Students as the content of embedded course research project, carries on the innovation and reorganization of embedded course content, integrates multidisciplinary knowledge, and enhances students’ understanding ability and practical ability from the perspective of practice. At the same time, the use of modern information education resources, the introduction of online video teaching resources, and the use of learning platforms allow supervision of students’ learning progress and effect. The teaching practice shows that this teaching model, which integrates competition topics into theoretical learning and project practice, effectively promotes students’ interest in participating in discipline competitions and enhances their recognition of majors and professions.

GeoGPT: An assistant for understanding and processing geospatial tasks

Decision-makers in GIS often need to combine multiple spatial algorithms and operations to solve geospatial tasks. While professionals can understand and solve these tasks by using GIS tools sequentially, developing workflows for various tasks can be inefficient, as even slight differences in tasks require corresponding adjustments in the workflow. Recently, large language models (e.g., ChatGPT) presented a strong performance in semantic understanding and reasoning. Especially, AutoGPT can further extend the capabilities of large language models (LLMs) by automatically reasoning and calling externally defined tools. Inspired by these studies, we attempt to increase the efficiency of developing workflows for handling geoprocessing tasks by integrating the semantic understanding ability inherent in LLMs with mature tools within the GIS community. Specifically, we develop a new framework called GeoGPT that can conduct geospatial data collection, processing, and analysis in an autonomous manner. In this framework, a LLM is used to understand the demands of users, and then think, plan, and execute defined GIS tools sequentially to output final effective results. In this process, our framework is user-friendly, accepting natural language instructions as input and adapting to various geospatial tasks, which can serve as an assistant for GIS professionals. A systemic evaluation and several cases, including geospatial data crawling, spatial query, facility siting, and mapping, validate the effectiveness of our framework. Though limited cases are presented in this paper, GeoGPT can be further extended to various tasks by equipping with more GIS tools, and we think the paradigm of “foundational plus professional” implied in GeoGPT provides an effective way to develop next-generation GIS in this era of large foundation models.

Systematic Literatur Review : Pengaruh Penggunaan Aplikasi Geometer’s Sketchpad Pada Pembelajaran Matematika SMP

. Geometer's Sketchpad is a maths lesson programme that offers educational material on a variety of subjects, including geometry, algebra, calculus, and other areas of mathematics. The form of research is Systematic Literature Review. Data collection in this method by searching for various journals from national and international journals on Google Scholar and Publish or Perish around 6 journals from 2019 to 2023. Through the results of previous studies in the charts, it should be deducted that the Geometr's Sketchpad application in learning mathematics is very influential because by using Geometr's Sketchpad application is able to provide an increase in students' conceptual understanding ability and is able to increase student activeness.

Revealing the Unseen: AI Chain on LLMs for Predicting Implicit Data Flows to Generate Data Flow Graphs in Dynamically-Typed Code

Data flow graphs (DFGs) capture definitions (defs) and uses across program blocks, which is a fundamental program representation for program analysis, testing and maintenance. However, dynamically-typed programming languages like Python present implicit data flow issues that make it challenging to determine def-use flow information at compile time. Static analysis methods like Soot and WALA are inadequate for handling these issues, and manually enumerating comprehensive heuristic rules is impractical. Large pre-trained language models (LLMs) offer a potential solution, as they have powerful language understanding and pattern matching abilities, allowing them to predict implicit data flow by analyzing code context and relationships between variables, functions, and statements in code. We propose leveraging LLMs’ in-context learning ability to learn implicit rules and patterns from code representation and contextual information to solve implicit data flow problems. To further enhance the accuracy of LLMs, we design a five-step Chain of Thought (CoT) and break it down into an AI chain, with each step corresponding to a separate AI unit to generate accurate DFGs for Python code. Our approach’s performance is thoroughly assessed, demonstrating the effectiveness of each AI unit in the AI Chain. Compared to static analysis, our method achieves 82% higher def coverage and 58% higher use coverage in DFG generation on implicit data flow. We also prove the indispensability of each unit in the AI Chain. Overall, our approach offers a promising direction for building software engineering tools by utilizing foundation models, eliminating significant engineering and maintenance effort, but focusing on identifying problems for AI to solve.

Desain Pembelajaran yang Inspiratif dan Pengembangan Kurikulum yang Responsif bagi Kompetensi Pendidik

This study aims to explore an in-depth understanding of curriculum development, learning design, and educator competencies in the context of education in the era of independent learning. Qualitative research methods are used to gain a comprehensive understanding through in-depth analysis of the relevant text and material context. Data were collected through literature study, observation, and interviews. The results showed that effective learning design requires teacher involvement in designing learning that is relevant to student needs, as well as being able to integrate educational technology and innovative learning strategies. In addition, this study also highlights the importance of developing a curriculum that is responsive to changing times and pays attention to the needs of individual students. Educator competencies that include material understanding, pedagogical skills, and managerial abilities are also key factors in ensuring the effectiveness of curriculum implementation. The findings of this research make an important contribution in enriching the understanding of how curriculum development, learning design, and educator competencies can support each other in improving the quality of education in the era of independent learning

Knowledge-Driven and Diffusion Model-Based Methods for Generating Historical Building Facades: A Case Study of Traditional Minnan Residences in China

The preservation of historical traditional architectural ensembles faces multifaceted challenges, and the need for facade renovation and updates has become increasingly prominent. In conventional architectural updating and renovation processes, assessing design schemes and the redesigning component are often time-consuming and labor-intensive. The knowledge-driven method utilizes a wide range of knowledge resources, such as historical documents, architectural drawings, and photographs, commonly used to guide and optimize the conservation, restoration, and management of architectural heritage. Recently, the emergence of artificial intelligence-generated content (AIGC) technologies has provided new solutions for creating architectural facades, introducing a new research paradigm to the renovation plans for historic districts with their variety of options and high efficiency. In this study, we propose a workflow combining Grasshopper with Stable Diffusion: starting with Grasshopper to generate concise line drawings, then using the ControlNet and low-rank adaptation (LoRA) models to produce images of traditional Minnan architectural facades, allowing designers to quickly preview and modify the facade designs during the renovation of traditional architectural clusters. Our research results demonstrate Stable Diffusion’s precise understanding and execution ability concerning architectural facade elements, capable of generating regional traditional architectural facades that meet architects’ requirements for style, size, and form based on existing images and prompt descriptions, revealing the immense potential for application in the renovation of traditional architectural groups and historic districts. It should be noted that the correlation between specific architectural images and proprietary term prompts still requires further addition due to the limitations of the database. Although the model generally performs well when trained on traditional Chinese ancient buildings, the accuracy and clarity of more complex decorative parts still need enhancement, necessitating further exploration of solutions for handling facade details in the future.

Kontruksi Matematika Berdasarkan Teori Apos

This research explains mathematical constructions using APOS theory which are used to improve students' understanding abilities in the learning process. The method used in this research is literature study. The conclusion in this research is that mathematical construction based on apos theory can improve students' understanding abilities, apart from increasing students' understanding abilities it can also make students more active in learning. Research conclusions This is proven by various research results from other people that have been carried out previously

Effects of undergraduate ultrasound education on cross-sectional image understanding and visual-spatial ability - a prospective study

Introduction/aimRadiological imaging is crucial in modern clinical practice and requires thorough and early training. An understanding of cross-sectional imaging is essential for effective interpretation of such imaging. This study examines the extent to which completing an undergraduate ultrasound course has positive effects on the development of visual-spatial ability, knowledge of anatomical spatial relationships, understanding of radiological cross-sectional images, and theoretical ultrasound competencies.Material and methodsThis prospective observational study was conducted at a medical school with 3rd year medical students as part of a voluntary extracurricular ultrasound course. The participants completed evaluations (7-level Likert response formats and dichotomous questions “yes/no”) and theoretical tests at two time points (T1 = pre course; T2 = post course) to measure their subjective and objective cross-sectional imaging skills competencies. A questionnaire on baseline values and previous experience identified potential influencing factors.ResultsA total of 141 participants were included in the study. Most participants had no previous general knowledge of ultrasound diagnostics (83%), had not yet performed a practical ultrasound examination (87%), and had not attended any courses on sonography (95%). Significant subjective and objective improvements in competencies were observed after the course, particularly in the subjective sub-area of “knowledge of anatomical spatial relationships” (p = 0.009). Similarly, participants showed improvements in the objective sub-areas of “theoretical ultrasound competencies” (p < 0.001), “radiological cross-section understanding and knowledge of anatomical spatial relationships in the abdomen” (p < 0.001), “visual-spatial ability in radiological cross-section images” (p < 0.001), and “visual-spatial ability” (p = 0.020).ConclusionUltrasound training courses can enhance the development of visual-spatial ability, knowledge of anatomical spatial relationships, radiological cross-sectional image understanding, and theoretical ultrasound competencies. Due to the reciprocal positive effects of the training, students should receive radiology training at an early stage of their studies to benefit as early as possible from the improved skills, particularly in the disciplines of anatomy and radiology.

Analisis Kemampuan Pemahaman Konsep Siswa pada Luas Permukaan Kerucut dengan Pendekatan PBL

This research aims (1) to determine the steps for learning about the surface area of ​​a cone using the Problem Based Learning (PBL) approach and (2) to describe students' conceptual understanding abilities in the material regarding the surface area of ​​a cone after learning using the PBL approach. This research was conducted at Panca Marga State Middle School in April 2023. This research method is qualitative research. The subjects in this research were 20 class VIII students, and 2 students' work samples were taken. The data collection methods used were Student Worksheets (LKS), documentation, written tests and interviews. Data analysis includes data reduction, data presentation and drawing conclusions. The results of this research show that (1) Learning steps on cone surface area material using the PBL approach are effective in improving students' understanding abilities, namely (a) orienting students to the problem, (b) organizing students' learning, (c) guiding investigations individually and in groups, (d) developing and presenting the results of the work, (e) analyzing and evaluating the solution process, (2) Ability to understand the concepts of class VIII students after following learning with the PBL approach, namely for questions number 1 and 2, 20 students were able to achieve indicators 1-4 understanding concepts, namely presenting concepts as a form of representation, developing necessary and sufficient conditions, using, exploiting and selecting certain procedures, and classifying algorithm concepts for problem solving.