Effectiveness Of Learning Research Articles

비대면 수업에 대한 예비 과학 교사들의 인식 조사 연구

The purpose of this study is to survey the perception of pre-service science teachers regarding online classes. The subjects of this study were 76 pre-servide science teachers in the Chungcheong and Gyeongsang provinces, and an online survey was conducted. The survey instruments consisted of 13 questions in three categories: experience & class using digital tools, the learning effectiveness of online classes, and online and in-person experimental classes. Pre-service science teachers were found to lack the ability to use digital tools and the experience of class using digital tools. Pre-service science teachers perceived that in-person classes were the highest effective, but they had very positive perception of blended teaching methods. They perceived the advantages of online learning as learning at a desired location, controlling learning speed, and repeatable learning, while the disadvantages included the lack of interaction, difficulty in self-regulating learning, and poor online learning environment. In addition, they were found to have a very negative perception of online experimental classes, but showed a somewhat positive perception of learning basic concepts. In order to prepare for future school science education and enhance digital capabilities of pre-service science teachers, it is necessary to improve the curriculum for them and develop and utilize teaching-learning methods and strategies.

The effectiveness of project-based learning models in teaching short story writing

Short story writing instruction in the Indonesian Language Education Study Program at the Faculty of Humanities, Unsoed, aims to help students develop ideas through writing and improve vocabulary mastery. However, students often struggle to generate ideas independently and frequently rely on content from other sources. Additionally, many students have limited vocabulary, which affects their confidence in their writing. The project-based learning model has proven effective when applied to various learning activities. Therefore, this study seeks to examine the effectiveness of project-based learning in short story writing instruction within the Indonesian Language Education Study Program at the Faculty of Humanities, Unsoed. The study employs a quasi-experimental one-group pre-test post-test design, with third-semester students from the program as the population. The third-semester students involved in the study totaled 24. Measurements were taken with a pre-test conducted before the intervention and a post-test after the intervention. The results showed an average pre-test score of 68.25 for short story writing. The average post-test score, after applying the project-based learning model, was 80.33. This represents an increase of 12.08 points following the use of the project-based learning model for short story writing. The use of this model was effective, as the average score improved after the intervention.

Arabic Curriculum Planning Management

This study aims to explore the management of Arabic curriculum planning in Indonesian higher education, focusing on the effectiveness of planning in addressing challenges in teaching and learning Arabic. Utilizing a qualitative approach and library research methods, the study analyzes literature related to curriculum management and its implementation at three higher education institutions. The findings reveal that the curriculum planning process involves stages of needs analysis, goal formulation, content development, teaching strategies, and evaluation, although the depth and approach vary between institutions. The study identifies that while the integration of technology into the curriculum has begun, the level of implementation differs. Multicultural aspects and labor market orientation are also focal points, with results showing that while some institutions have integrated modules for business and diplomatic Arabic, multicultural aspects remain limited. These findings underscore the need for a more holistic curriculum planning approach that is responsive to digital advancements and sensitive to cultural diversity and labor market needs. The study recommends developing a comprehensive curriculum management model to enhance the relevance and effectiveness of Arabic language learning in Indonesia.

Innovative Learning Planning in the Pancasila Student Profile Strengthening Project in Islamic Religious Education in Madrasah Ibtidaiyah and Elementary Schools

This research aims to examine innovations in lesson planning within the context of the Project to Strengthen the Students Profile of Pancasila in Islamic Education at Madrasah Ibtidaiyah and Elementary Schools. Through a literature review method, the study identifies innovative strategies that can be applied to enhance the Pancasila student profile. The analysis includes educational theories, previous research, and the concept of the Pancasila student profile, along with its relevance to Islamic education at the elementary level. The findings indicate that innovations in lesson planning – such as using educational technology, project-based learning approaches, and integrating Pancasila values into the curriculum – can improve the effectiveness of teaching and learning. These findings have practical implications for educators in designing and implementing innovative teaching strategies to support strengthening the Pancasila student profile.

Implementation and Effectiveness of Project-Based Learning in the Japanese-Indonesian Translation Course

This study aims to describe two primary issues in the following case study: (1) how Project-Based Learning (PjBL) is applied, and (2) whether students can implement “proactive learning,” “interactive learning,” and “authentic learning” through PjBL. Based on the findings, we also explore an outline and framework for PjBL, specifically in a Japanese Translation course. The study examines the effectiveness and implementation of PjBL by analyzing observations and interviews with students during the project “Translation and Japanese-Indonesian Subtitling for Occupational Safety Training for Indonesian Workers in Japan's Manufacturing Industry.”The results indicate that PjBL was conducted in five steps: (1) connecting to the problem, (2) setting the structure, (3) revisiting the problem, (4) producing the product, and (5) evaluation. We conclude that by following these steps, students effectively implemented “proactive learning,” “interactive learning,” and “authentic learning.”.

Integration of Multiple Intelligences Theory in Project-Based Learning, How It Impacts on Students' Critical Thinking and Mathematical Communication Skills?

In this study, we aim to assess the effectiveness of Project-Based Learning (PjBL) based on Multiple Intelligences (MI) theory on students' critical thinking and mathematical communication skills. This research is a quasi-experiment using non-equivalent (pre-test and post-test) control-group design. The population in this study were VIII grade students in a public junior high school in Yogyakarta and two sample classes were selected based on recommendations from teachers and had mathematical abilities that could be considered equal. The experimental class applied PjBL based on MI theory and the control class applied PjBL learning. Data collection was conducted using a test instrument in the form of description questions. This instrument is valid and reliable. Learning is said to be effective if: (1) the mean test score of critical thinking and communication skills is at least 70 (from a score range of 0-100); (2) the mean of post-test of critical thinking and communication skills is higher than the mean of pre-test; (3) the mean final score of students' critical thinking and mathematical communication skills in the experimental class is higher than the control class. Data analysis used one-sample t-test, paired-sample t-test, and T2 Hotteling test. The results of the study using the significance level α = 5% showed that (1) PjBL learning based on MI theory is effective in terms of students' critical thinking and mathematical communication skills; (2) PjBL based on MI theory learning is more effective than PjBL learning in terms of communication, but not more effective in terms of critical thinking skills. Although the data from the sample showed the acquisition of mean scores and the increase in the mean value of critical thinking learning in PjBL based on MI theory was better than PjBL learning in terms of critical thinking skill, but statistically both did not show a significant difference.

The effectiveness of creative problem-solving learning on critical thinking skills and stoichiometry learning outcomes of grade X Students at SMKN 1 Bakung Blitar Indonesia

The effectiveness of creative problem-solving learning on critical thinking skills and stoichiometry learning outcomes of grade X Students at SMKN 1 Bakung Blitar Indonesia

Reimagining crisis management with an organizational learning framework

AbstractTechnological advancements have altered the landscape of crisis management, making many crises potentially preventable and controllable. Moreover, these technological advancements have provided opportunities for organizations to implement an informed learning approach in crisis responses. The interconnectedness and complementary aspects of three theories within crisis management, including the situational crisis communication theory's base crisis response strategies, image repair theory's corrective action, and discourse of renewal theory's organizational learning, were assessed and integrated into a proposed framework for understanding a comprehensive approach to crisis management. In this research, technology is regarded as both an asset for facilitating organizational learning (e.g., informed decision‐making through data analytics), and a potential source of challenges in crisis communication (e.g., Zoombombing and negative social amplification). The proposed framework aims to bridge proactive risk and reactive crisis management efforts through organizational learning. Findings from this 4 × 2 between‐subjects experimental design study explore the effectiveness of organizational learning to address crisis responsibility in an evolving technological landscape.

The integration of Artificial Intelligence (AI) into undergraduate education

The incorporation of AI as a tool in educating undergraduates is a promising concept held with a great potential of positively influencing the learning process, learners’ experiences and institutional management systems. At the same time, it lifts essential moral issues that ought to be adequately addressed into new stages. The aim of this paper is to review literature on the subject of ethics in the application of AI in the context of an undergraduate degree program. Algorithmic choices for instructional design are another relevant ethical concern along with privacy and data protection, practitioners’ responsibilities, and the requisite levels of transparency, as well as the depersonalized and mechanized nature of learning management systems. The analysis reveals how the use of AI technology might deepen the social and economic inequities the students have described and how difficult it is to keep the students’ trust in cases when AI technology is not transparent. Also, the paper raises concerns related to several ethical issues and their consequences to students, teachers, and institutions on how strong ethical principles and policies to apply AI in the educational sectors. It is established that the use of AI in the delivery of undergraduate education has the potential of enhancing the effectiveness of learning(). Nonetheless, it is recommended that the integration of AI in the classroom must be done with reference to several ethical concerns so as to prevent further negative ramifications of the technology.

Research on Measures to Improve Students’ Learning Effectiveness by Improving the Classroom Teaching Model

The importance of an effective classroom teaching model in enhancing students’ learning does not need to be overemphasized. With the development of society and the evolution of educational needs, the demand for innovative teaching strategies to meet different learning needs is also constantly developing. This article discusses various classroom teaching models, including traditional, flipped classroom, and project-based learning, and studies their advantages and disadvantages. By summarizing past literature, the study identifies the gaps in the current teaching model and puts forward strategies to solve these shortcomings. The research results show that although there is no single model that is universally valid, a hybrid method combining different models may improve learning outcomes. The government needs to formulate policies to emphasize the importance of teaching, schools need to provide a platform for teachers’ communication and students’ practice, and teachers also need to use scientific and technological tools to attract students’ attention in the classroom.

Effectiveness of ethnomathematics-based learning on students’ mathematical literacy: a meta-analysis study

This study aims to determine the effectiveness of ethnomathematics-based learning on students’ mathematical literacy through a meta-analysis study. Primary studies were collected from Google Scholar and ERIC databases based on the inclusion criteria. The results of the literature review obtained 16 studies, either from theses, proceedings, or journal articles. Furthermore, the effect sizes were combined according to the Random Effects Model (REM) and data analysis using CMA v3 and R Studio (Meta Package). The calculation results obtained an overall effect size which indicates that ethnomathematics-based learning has a “strong” effect on students’ mathematical literacy when compared to conventional learning. As a result of the moderator category analysis, it was found that the effect sizes differed significantly according to students’ regional demographics, independent variables, and subject matter. However, it does not show significant differences when based on the duration of the meeting, education level, sample size, experimental design, type and year of publication. Thus, it can be said that ethnomathematics-based learning can be an effective learning model for increasing students’ understanding of mathematical literacy, especially in the Kalimantan Island region, recommended to be integrated with the Ethnomathematics Pop Up Book and Visual Thinking learning model, and Probability & Sets and Transformation Geometry materials, using Nonequivalent Control Group Design are recommended to be taught through this learning model.

Penggunaan Media Gambar dalam Mengatasi Kesulitan Membaca Siswa Kelas II di SD Swasta Islam Nursyamsiani Desa Bintang Meriah Kecamatan Batang Kuis

This research is entitled "The Use of Image Media in Overcoming Reading Difficulties for Grade II Students at Nursyamsiani Islamic Private Elementary School, Bintang Meriah Village, Batang Kuis District." The objectives are to: 1) Identify the forms of reading difficulties of grade II students; 2) Knowing the effectiveness of image media in overcoming these difficulties; 3) Identify obstacles in the use of image media; and 4) Reveal teachers' efforts in overcoming these obstacles. This research is qualitative-descriptive, involving the principal and homeroom teacher as subjects. Data collection is carried out through observation, interviews, and data analysis. The results of the study showed: 1) Reading difficulties include recognition of similar letters and difficulty in prociting a combination of letters; 2) Image media helps overcome reading difficulties; 3) Constraints include image size, limited facilities, and funds; 4) Teachers' efforts include providing opportunities to see pictures in turns and re-explain the material. This result is expected to encourage an increase in teachers' creativity in the use of learning media to increase interest and effectiveness in learning.

The Comprehensive Investigation for Covid-19 Trend Prediction Through Machine Learning and Deep Learning

Corona Virus Disease (Covid-19) has surely been a challenging problem to solve for the past few years. Due to the diversity in the form of dataset, it is essential to obtain accurate predictive results of Covid-19 trends. This paper analyzes different artificial intelligence methods used in Covid-19 trend prediction, including several machine learning and deep learning methods. More specifically, this work investigates linear regression, random forest, and decision trees in terms of machine learning and delves into Artificial Neural Network (ANN) as well as Long Short-Term Memory (LSTM) for deep learning. By comparing various past works, the effectiveness of machine learning and deep learning methods is achieved by their hidden algorithms, such as the Multiple Linear Regression (MLR) model for linear regression analysis. Incorporation with other models or methods is applied in deep learning. For example, Ensemble Empirical Mode Decomposition (EEMD) is included in ANN structure to decrease the noises within the Covid-19 datasets. Furthermore, the paper also inquiries into potential improvement of some drawbacks in predictive results for Covid-19 trends by reviewing related works of expert system and transfer learning as well as domain adaptation. The machine learning and deep learning models could provide accurate predictive results as a reference for related organizations to consider or establish insightful policies.

Comparative Analysis of Machine Learning Models for Weather Forecasting: A Heathrow Case Study

Accurate weather forecasting, especially temperature prediction, is fundamental for various segments within the UK, including agriculture, energy, and policy planning, as the nation adapts to the effects of climate change. This study addresses the limitations of conventional linear models in capturing the complex, non-linear relationships within meteorological data by comparing the effectiveness of different Machine Learning (ML) strategies. This study evaluates the performance of baseline ML models, such as Linear Regression (LR), Support Vector Regression (SVR), and K-Nearest Neighbors (KNN). It also examines advanced ensemble and boosting models such as Decision Tree (DT), Random Forest (RF), XGBoost (XGB), LightGBM (LGBM), and CatBoost, using a comprehensive dataset from Heathrow Airport. Detailed preprocessing, model training, and optimization through cross-validation were conducted, with performance assessed using Mean Squared Error (MSE) and Coefficient of Determination (R²) metrics. The results demonstrate that ensemble methods, particularly XGB and LGBM, offer superior predictive accuracy for weather forecasting tasks, highlighting their potential to enhance predictive models in meteorological applications.

Empowering Discovery Learning and Direct Instruction with Computer-Assisted to Enhance Mathematical Performance

In the current educational context, the low academic performance of students in mathematics indicates the need for the implementation of more effective teaching methods to support the understanding of complex concepts. The effectiveness of learning can be enhanced through computer-assisted instruction, particularly in discovery learning (DL-CA) and direct instruction (DI-CA) utilizing web-based media. This study employs a quantitative approach with statistical analysis to examine the significant impact of these teaching methods on students' mathematical performance. Discovery learning and direct instruction were applied to two groups studying numerical methods, focusing on the topic of nonlinear equation solutions using the bisection method, with each group consisting of 33 students. The statistical test results indicated that there was no significant difference in mathematical performance between the DL-CA and DI-CA groups; both methods showed comparable effectiveness. However, both methods had a significant effect on the N-Gain of the learning outcomes in both groups. The improvement in mathematical performance for the DL-CA group was better than that for the DI-CA group, with more students showing high improvement (11 students) compared to the DI-CA group (1 student). Additionally, in the low improvement category, the DL-CA group had fewer students (2 students) than the DI-CA group (8 students). This suggests that both discovery learning and direct instruction have almost equivalent reliability in achieving students' mathematical abilities, but DL-CA is more effective in enhancing performance compared to DI-CA.

Impact of Virtual Learning on Student Performance and Engagement in Remote Hilly Areas of Uttarakhand

The rapid shift to virtual learning during the COVID-19 pandemic brought significant changes to the education system, especially in geographically challenging regions like the remote hilly areas of Uttarakhand, India. This study explores how these shifts affected high school students' academic performance and engagement in virtual classrooms, given the unique challenges posed by limited infrastructure and connectivity. This study investigates the impact of virtual learning on student performance and engagement in the remote hilly areas of Uttarakhand, India. With the sudden shift to virtual education during the COVID-19 pandemic, schools in these regions faced unique challenges due to their geographic isolation, lack of internet access, and frequent power outages. The study aims to assess how these conditions have influenced the effectiveness of virtual learning and its impact on students' academic outcomes and engagement levels. A total of 51 high school students from 05 government schools in remote areas of Uttarakhand participated in this research. Data was collected through structured questionnaires, focusing on students’ experiences with virtual learning, their academic performance before and after the shift, and their engagement with online classes. The study used both quantitative and qualitative methods, including descriptive statistics, logistic regression, and MANOVA, to analyze the data. Findings indicate that while virtual learning provided an essential educational lifeline during the pandemic, students in remote areas encountered significant barriers that hindered their learning experiences. Limited internet access and frequent electricity cuts were among the primary obstacles reported. Despite these challenges, a majority of students found virtual classrooms useful for maintaining continuity in their education. The study also reveals that virtual learning positively influenced student engagement, particularly in subjects that incorporated interactive content. However, the overall academic performance showed mixed results, with some students struggling due to the absence of traditional classroom interaction and practical learning opportunities. This research highlights the need for improved infrastructure and policy interventions to support virtual education in remote regions. It concludes that while virtual learning has potential, addressing technological and logistical barriers is crucial for ensuring equitable and effective learning experiences for all students in such areas.

Understanding Maritime Subjects in Vocational High Schools through Online Learning

This study explores the effectiveness of online learning for maritime subjects in Indonesian vocational high schools, focusing on how the rapid advancement of information technology has reshaped education in this unique field. Using a quantitative approach with 275 respondents, the research analyzes key factors that influence students' understanding of maritime subjects, such as digital literacy, motivation, and their perceptions of the effectiveness of online learning. The findings indicate moderate levels of both digital literacy and motivation for online learning, with flexibility being the most appreciated benefit. However, challenges related to social isolation were also noted. A predictive model developed during the research accounts for 43% of the variance in comprehension of the subject matter, identifying digital literacy and perceived online learning effectiveness as the strongest predictors. Additionally, the grade level of students significantly influenced their comprehension scores. This study emphasizes the need to integrate digital skills training and to employ engaging instructional strategies to enhance learning outcomes. Future research could investigate the use of immersive technologies, such as virtual reality or simulations, to better support practical skills development in maritime education, ensuring that students are well-prepared for real-world challenges in the maritime industry

How does gamification affect learning effectiveness? The mediating roles of engagement, satisfaction, and intrinsic motivation

ABSTRACT Academic institutions have implemented methods to enhance student engagement, increase satisfaction levels, and maximize the efficacy of the learning process. Gamification has been increasingly used in education to enhance the efficacy of student learning, in contrast to traditional teaching methods. This study quantitatively examines the impact of gamification on learning efficacy by assessing variables such as engagement, satisfaction, and intrinsic motivation based on data from 255 survey responses by undergraduate and graduate students enrolled in Vietnamese institutions. Participants had prior experience with gamified instructional methods. The findings indicate that individuals’ level of enjoyment and challenges impacted the effectiveness of their learning through the mediating processes of engagement, satisfaction, and intrinsic motivation. This study offers valuable insights for educational institutions, schools, teachers, and other scholars examining the impacts of intrinsic motivation, satisfaction, and engagement on learning effectiveness within the educational setting of gamification.

A learning theory‐based exploratory analysis of teacher professional development interventions for formative assessment

AbstractThere is substantial evidence in cognitive psychology for the effectiveness of learning theory‐based principles, such as activating prior knowledge or retrieval practice, for learning. In this exploratory study, we analysed to what degree such learning theory‐based principles are applied in teacher professional development (TPD) interventions for formative assessment and how, and whether differences in the use of these principles between TPD interventions explain differences in the effectiveness of such interventions. We found that the impact of TPD interventions for formative assessment on student achievement was evaluated rigorously in very few studies, with only five in our sample. Our results also showed that most learning theory‐based principles were applied only to a very limited degree, and not deliberately. Both findings imply that no patterns relating the application of learning theory‐based principles and intervention effectiveness were discernible. However, given the general evidence for the principles, there is probably much to gain by applying the learning theory‐based principles when developing TPD interventions for formative assessment. Context and implicationsRationale for this studyStudies in cognitive psychology have resulted in clear principles to promote learning. It is unknown whether these have been used to improve teacher professional development (for formative assessment).Why the new findings matterThe limited use of learning theory‐based principles in TPD development is remarkable, as there is strong evidence that these principles are effective.Implications for researchersOnly 5 of 44 evaluated studies adhered to high standards for randomised controlled trials set by Cheung and Slavin (2016) and What Works Clearinghouse (2020), meaning that we ultimately have very little reliable data on the effectiveness of TPD interventions for formative assessment. If we want to know what influences improvement in teacher skills when conducting TPD interventions, then better interventions and evaluations are needed.The learning theory‐based principles themselves are the result of thorough research, and it is therefore worthwhile to further investigate how the learning theory‐based principles can be used to improve TPD interventions for formative assessment.

A Teaching Design with Ideological-Political Element on Reactions of Alkanes in College Chemistry II

College chemistry II is a basic course for normal college students majoring in science education in our university, and it is of practical significance to integrate ideological and political education into the teaching of the course to achieve the teaching purpose effectively. Taking the part “reactions of alkanes” as a case of teaching design, this paper discussed the teaching design ideas and methods of integrating ideological-political elements into the specialized course specifically in the setting of the three learning objectives, the introduction of the new lesson, the teaching of the three knowledge points, etc., and carried on the teaching reflection. By fully excavating the ideological-political elements in this course, and integrating the ideological and political education with cases related to reactions of alkanes in daily life and production practice into, it can arouse the students' attention and thinking, stimulate the students' interest in learning, and enhance the effectiveness of students' learning.