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Creative thinking needs serious attention because it is one of the essential skills in the 21st Century that supports academic and professional success. This research aims to systematically review the literature regarding strategies for improving creative thinking in students. The study is a Systematic Literature Review (SRL) involving 15 journals published in 2018-2022 and examines the topic of creative thinking skills, improving creative thinking skills, or training creative thinking skills. The journal search was done using a search engine (Google Chrome). The data that has been collected will be analyzed descriptively according to the existing research questions—data analysis using meta-synthesis. The research results show that creative thinking is an idea-construction process emphasizing fluency, flexibility, originality and elaboration. Students' creative thinking abilities can be improved by implementing scientific learning strategies. Several learning models that can improve students' creative thinking abilities include Creative Problem problem-solving, Discovery Learning, Scientific Critical Creative Thinking Model, STEM-E Model, problem-solving learning and Contextual Learning, Problem-Based Learning, project-based Learning, Authentic Learning, and Research-Based Learning

Social skills are an important part of a humans ability to live, because social skills are very much needed in social life. Social skills are skills in interacting, communicating and collaborating with another people. Social skills also can be learned and developed through the learning process. With the increasing of social problems that occur, social skills are a very important skill to have. The aim of this research is to get an overview and analyze the development of students social skill levels through the implementation of the contextual teaching & learrning (CTL) model in Islamic Religius Education subjects. This research uses a qualitative field approach. The research location taken was SMP Negeri 2 Karangkobar Banjarnegara. The data sources used are primary data and secondary data. Primary data includes the results of interviews and observations. Meanwhile, secondary data is obtained from documentation results. Using three data collection techniques, namely interview, observations, and documentation. Analyzing data is carried out in three stages: data reduction, data presentation, and drawing conclusion. The conclusion of this research is that trhough the use of the contextual teaching & learning model, students social skills have increased, although not significantly. This is because forming and changing human character requires quite a long process and time. However, by consistently and always developing the CTL learning model that is carried out, it is hoped that it will be able to help teachers in their efforts to improve social skills. Therefore, the use of the CTL model is considered effective in helping teachers in efforts to improve students social skills.

The research aims to determine the effect of the Team Assisted Individualization learning model on student learning outcomes in Pancasila education learning in class IV SDN 22 Duku. This research uses a quantitative type of research with a quasi-experimental design experimental method in the form of a non-equivalent control group. The sample in this study was all 34 class IV students at SDN 22 Duku, of which 17 class IV A students and 17 class IVB students. The experimental class in this research is class IV A and the control class is class IV B. Based on the data analysis that has been carried out, the t count is 3.18 and the t table is 2.042. so the experimental class in this study was class IV A and the control class was class IV B. This shows that there is a significant influence on the implementation of the Team Assisted Individualization (TAI) type cooperative model on the results of dozens of class IV elementary school students.

This research aims to determine the feasibility, practicality and effectiveness of using the Canva Application as a Mathematics Learning Media for Class VII Flat Building Material at SMP Negeri 1 Citeureup.This research adopts the ADDIE model stages (analyze, design, develop, implement, and evaluate). The analyze stage includes initial analysis, student analysis, concept analysis and formulating learning objectives. The design stage includes preparing learning media in the form of selecting appropriate media and designing learning content. The development stage includes the development of data collection instruments. The data collection instrument in this research was interviews with the teachers concerned. The implementation stage includes implementing the use of the Canva application. The evaluation stage includes the form of evaluation carried out at each ADDIE stage. The data analysis technique used is the validity coefficient by Aiken's V. The research results show that the learning media that has been developed is in the very good category and can be used in the learning process.    

The aim of this research is to find out whether there is a significant influence of the Talking Stick learning model and the learning motivation of class VIII students at SMP N 4 Tarutung for the 2023/2024 academic year. The method used in this research is a quantitative method with a pre-experimental designs research type in the form of a one-group pretest-posttest design. The population was all Protestant Christian students in class VIII of SMP Negeri 4 Tarutung consisting of 4 classes totaling 121 students and a sample of 31 people was determined using purposive sampling. Data was collected using a closed questionnaire with 30 items. The results of data analysis show that there is a positive and significant influence on the Talking Stick learning model on the learning motivation of Christian Religious Education students and character in class VIII SMP Negeri 4 Tarutung for the 2023/2024 academic year as evidenced by the significant test obtained by the value tcount > ttable (α=0 .05; dk=n-1=30) which is 7.197 > 2.042, thus there is a significant influence between variable X and variable Y. Thus H0 is rejected and Ha is that there is a positive and significant influence on the Talking Stick learning model on learning motivation students of Christian Religious Education and character education in class VIII of SMP Negeri 4 Tarutung for the 2023/2024 academic year were accepted.

The problem of this research is that there is still a lack of student activity in participatory learning as well as interaction and collaboration between students in group learning activities. In this research, Classroom Action Research (PTK) was carried out in three meetings. The subjects of this research were 25 class V students of SDN Antasan Besar 7 Banjarmasin. The measure of research success with learning completeness is that 80% of students achieved a KKM score above 80. The results of this research show that at Meeting I to Meeting III there was an increase in the acquisition of learning activities in the application of the learning model, resulting in the "Very Active" criteria at Meeting I, II and III. At Meetings II and III, learning activities increased to almost all very active. Students' critical thinking skills increased to almost all highly skilled at Meetings II and III. At Meetings II and III, students' collaboration skills increased to Almost All Skilled. Meanwhile, completeness of learning outcomes increased again to 100% at Meeting III. From the results of this research, it can be concluded that educators' activities experienced a very significant increase when implementing the PBL model supported by DNGM using Wordwall media and the Dragon Snake game, as well as student activities, critical thinking skills, collaboration skills, and learning outcomes.      

The process of manually identifying fruits to determine ripe and unripe can affect the production and quality of the food and beverages themselves. The CNN method is able to group images and analyze images based on objects. Therefore, it is necessary to conduct research using the CNN method on the ripeness of strawberries. This study aims to determine the level of maturity of strawberries during harvest time. The accuracy graph shows that the model is not only capable of learning the training data well but can also generalize well to the validation data. In contrast, the validation accuracy graph starts from 0.825 in the 0th epoch and rises consistently until it reaches 0.975 in the 30th epoch. Both charts remained stable above those values throughout the training period. Overall, the development of the CNN model for the detection of strawberry ripeness resulted in excellent performance. The model achieved the lowest loss of 0.0383 and an accuracy as high as 98% on the validation data, demonstrating a strong ability to accurately predict between ripe and unripe strawberries.

In the dynamic digital era, artificial intelligence (AI) like ChatGPT presents revolutionary opportunities to advance classroom learning, particularly in science education. This research focuses on the utilization of ChatGPT to develop a learning model that supports the enhancement of students' Self-Regulated Learning (SRL) abilities. The study investigates four main aspects: (1) How can student-centered science learning improve SRL skills such as goal setting, self-management, and reflection? (2) How can the use of active and collaborative learning strategies in science increase students' motivation and SRL? (3) How can formative and summative assessments focused on developing SRL skills enhance science learning? (4) What are the researchers' experiences in using ChatGPT as a tool to develop and refine learning units, and their reflective research on its use as a teaching aid? An exploratory methodology was applied, utilizing ChatGPT to generate teaching materials tailored to classroom needs. Initial findings highlight ChatGPT's potential to support the development of SRL skills by providing quick access to structured and verified information. However, its use must be carefully managed to prevent over-reliance and ensure critical evaluation of sources. Educators are responsible for guiding students in the wise use of AI, fostering critical thinking, and promoting independent learning. Integrating ChatGPT into lesson design can enhance science education by creating engaging units, providing clear rubrics, and supporting formative assessment. This research underscores the positive potential of ChatGPT in fostering inclusive and adaptive science education, while also addressing the need for responsible technology management to ensure student development and well-being.

The main objective of this research is to determine the effect of the Literacy, Orientation, Collaboration, and Reflection (LOK-R) learning model aided by Ice Breaking on the reading ability of fourth-grade students at SD YPK 1 Efata Serui. The type of research is quasi-experimental design. The population of this study is all 172 students at SD YPK 1 Efata Serui, while the research sample consists of 29 fourth-grade students. Data collection was carried out through reading ability tests, observation sheets, and documentation. The collected data was analyzed using inferential statistical techniques. Based on the data analysis, the average score in the experimental class before treatment was 55.5, while after treatment it was 88.5. In the control class, which used direct instructional model, the average pretest score was 60.5 and the post-test score was 67.5. Hypothesis testing for the experimental class yielded a normal gain test of 0.68, which means it was very effective, while the control class obtained a normal gain test of 0.29, indicating that it was not effective. Based on the research results, it can be concluded that there is an influence of the Literacy, Orientation, Collaboration, and Reflection (LOK-R) learning model aided by Ice Breaking on the reading ability of fourth-grade students at SD YPK 1 Efata Serui.

The arrangement of Classroom Activity Investigate at SMA Negeri 8 Denpasar was propelled by the comes about of introductory perceptions which appeared issues related to moo understudy learning results in move subjects. Subsequently, this investigate points to move forward move learning results utilizing the PJBL Learning Show with the Peer Mentor Strategy. This sort of investigate comprises of two cycles, each cycle has four stages, specifically arranging, executing activities, watching and reflecting. The subjects of this investigate were 30 understudies of lesson XII IPS 3. This inquire about was carried out from April to May 2024. The information collection procedures utilized were perceptions with respect to the execution of activities and the comes about accomplished, interviews, and worksheet appraisals. The information examination procedure is subjective clear investigation utilizing the PJBL learning demonstrate with the peer mentoring strategy to test the comes about of understudy introduction appraisals by comparing the normal score of completeness of learning results. The investigate comes about appeared that the normal move learning results had expanded from cycle I to cycle II. This may be seen from the normal increment gotten from the comes about of the introduction evaluation. The normal course score in cycle I was with the most noteworthy score of 78 and the least score of 63. In the mean time in cycle II the normal lesson score was 87, with the most elevated score being 90 and the most reduced score being 82.

In the world of education, we really need every support from every circle because a student's success in learning is due to this support. Determine the right model needed to help this progress by determining the right model according to the problems faced by students. In this research, the researcher aims to collaborate between teachers and parents to help the learning progress of elementary school students at SDI Harekakae. The sample I took was 30 students with different abilities so that researchers could measure the extent of collaboration between parents and teachers to help students develop progress. Initial observations in this study provided data from 8 statements, each of which had a weight that did not meet the target of <80% with an average score of 40%. So in this implementation the researcher held a meeting with parents and teachers to enter into a collaboration agreement. In this meeting the teachers agreed to carry out 8 statements by signing the activity contract. During the implementation, researchers carried out monitoring by providing activity observations. However, the results obtained were that 2 statements did not meet the target, while 6 statements met, meaning that out of 8 statements, 80% were successful. So it can be concluded that in collaboration there are several obstacles, in this case family finances also influence.

This research explores various machine learning approaches, including deep learning and ensemble methods, to predict climate change indicators. We focus on temperature and precipitation trends using large datasets spanning multiple decades. By comparing the performance of algorithms like CNN, RNN, and random forests, we identify the most accurate models for specific climate variables. Our findings demonstrate that ensemble models provide better accuracy and reliability, especially for temperature predictions.

Big data has revolutionized the landscape of natural sciences by providing extensive datasets that enable deeper insights and more accurate predictions. However, effectively analyzing such vast and complex data requires optimized machine learning algorithms tailored to specific applications. This study focuses on enhancing the performance of machine learning models in big data analysis for applications in natural sciences. The research aims to identify key optimization techniques, including feature selection, hyperparameter tuning, and algorithm customization, to improve model accuracy and computational efficiency. A combination of supervised and unsupervised learning approaches was applied to real-world datasets in fields such as climate science, genomics, and ecology. The findings demonstrate significant improvements in predictive accuracy and processing speed, highlighting the potential of optimized machine learning techniques in solving complex problems in natural sciences. The implications of this research extend to more efficient resource utilization and improved decision-making in scientific exploration and environmental management.

In this study explains two objectives, first describe the improvement in the process carried out and second, describe the improvement in the results of the ability to write poetry through collaborative learning model activities. This research was conducted in class X-9 SMA Negeri 21 Surabaya which amounted to 35 people. Data collection was carried out using observation sheet analysis and tests. The results of the study explain that learning by using a collaborative model can improve the skills of writing poetry in students. These skills have increased can be seen from the average score of students. In the initial condition, the average score of students got 60, in cycle I it increased to an average of 65 still below the KKM value of Indonesian language subjects, in cycle II it increased significantly to an average score of 89. Through the application of collaborative learning, it is quite significant in improving the poetry writing skills of class X students at SMA Negeri 21 Surabaya.

Teacher 4.0 is a concept of future educators created to explain the characteristics of educators who can handle various technologies with effective teaching in parallel with the transformation of Education 4.0. Readiness and acceptance of the use of various smart technologies, better known as Technology 4.0 experienced a large-scale shift in the national education system, especially in teaching and learning methods. This includes all levels from primer to higher education institutions. The transformation of 4.0 requires improvement in teachers' competency to enhance teaching and to ensure it is in line with the country’s objective in producing highly competitive, innovative educators and students in the era of 4.0. The need for a measurement tool is important due to the lack of research conducted to test the competence of Teacher 4.0. Thus, this study was conducted to measure the competence of Teacher 4.0 by creating a new instrument adapted from the DigCompEdu model. Appropriate constructs were validated and hypotheses were tested using PLS-SEM approach to evaluate the contribution of each construct towards Teacher 4.0 competency. The sample used in this study involves 274 among MARA teachers’ pre-university institutions across Malaysia. A total of three formative constructs were identified, namely teaching and learning, assessment and facilitating students' Technology 4.0 competence. Questionnaires were distributed to respondents using purposive sampling and the data obtained was analyzed using SEM-PLS software. The results of the analysis show that all constructs have passed sufficient convergent validity. Hypothesis verification analysis shows that all constructs have a positive contribution towards Teacher 4.0 competency. Overall, this study has created a new measurement instrument that can measure the competence of Teacher 4.0 and improvised the DigCompEdu model. Findings can be a reflection indicator for teachers to improve teaching methods and strategies in addition to developing existing competencies. The problems arising from this study can be indicators for educational institutions to ensure that the facilities and infrastructure required for Technology 4.0 can be expanded in line with their needs as an educational support tool.

Abstract. This study examines the application of Agile Management principles in online learning platforms, focusing on the challenges and benefits experienced during implementation. Through qualitative research, including interviews and case studies, the research explores how platforms have adopted Agile practices, such as iterative cycles, regular feedback, and flexibility, to enhance responsiveness and adaptability. The findings reveal that the majority of platforms have integrated Agile principles, with a significant focus on overcoming challenges like resistance to change and a lack of training. Participants reported improved collaboration, increased efficiency, and the ability to respond to changes effectively. However, challenges remain, including the need for hybrid models combining Agile with traditional management frameworks. This study contributes valuable insights into the effectiveness of Agile practices in educational technology and offers directions for future research on enhancing Agile implementation in diverse educational settings.

Generative Pre-trained Transformer (ChatGPT), is an artificial intelligence (AI) model that has revolutionized the educational landscape in recent years. Its use has been explored across various educational fields; however, given that this AI model is language-based, it has attracted particular interest in language teaching, especially in developing the writing skill. Due to the importance of the writing skill in language learning, and the extensive body of research investigating the best ways to support this skill using ChatGPT, the current study aims to provide an overview of the latest findings regarding the use of ChatGPT in developing writing. Through a narrative literature review approach, this paper will offer comprehensive documentation of the various ways ChatGPT can be used to support the writing skill, as well as the potential risks associated with its implementation. These objectives will be achieved by addressing two key research questions: In what ways can ChatGPT be useful in developing the writing skill? and what are the possible risks of implementing this tool in developing the writing skill? By answering these questions, the paper will help equip educators and learners with a comprehensive understanding of the most effective ways to use this tool to enhance the writing skill.

Meaningful learning is analyzed through the interaction between learning subjects and the episteme framework of education. This research is to determine the interpretive activities of causality of the relationship between 3 (three) dimensions of the subject phenomenological analysis model (ethnographic context of learning) and determine the influence of the meaningful process of interaction between learning subjects. So that this approach model uses several observations of semiotic analysis variables, gestures, and interpersonal relationships. It also seeks to translate between interactions, semiotic resources, and meaning-making. Analysis using the theory of Meaningful Learning Ausubel model learning at Islamic Junior High School Al-Azhar 15 in Cilacap. To determine the meaningfulness of the interaction of learning the Mathematics Ecomathrigi model, data collection techniques use observation, documentation, and interviews. The results are there was a significant mutual influence between students-teachers-artifacts in the meaningfulness of mathematics learning; The significant influence is also due to the use of the Ecomathrigi model learning approach in building learning interaction; The consequences of the significant influence of cognitive structure on new students on alumni perspectives on mathematics learning, teachers and schools.

The purpose of this study was to determine the significant effect of the Contextual Teaching and Learning model on the learning outcomes of class IV students at SDN Murtajih 1 in the mathematic subject area of flat shapes. This study uses quantitative methods with a Pre-Experimental Design and One Group Pretest-Posttest Design model. The sample was 23 students using the Total Sampling technique. Data collection used test instruments for student cognitive learning outcomes and teacher activity observation sheets. Based on the paired simple t-test, tcount 15.495 > ttable 2.073 shows that Ho is rejected and Ha is accepted or there is a significant effect of the Contextual Teaching and Learning model on the learning outcomes of class IV students at SDN Murtajih 1 in the Mathematic subject area of flat shapes. Based on the N-Gain test, the influence of the effect was 61.52%. The application of the Contextual Teaching And Learning model in mathematics learning about the area of flat shapes in class IV at SDN Murtajih 1 took place over 2 meetings with a duration of 70 minutes for each meeting and was carried out very well with an average implementation percentage of 100%.

The aim of this research is to measure how much influence the cooperative learning model has on student learning outcomes at SDN 9 Limboto. This research uses quantitative research methods with survey techniques to obtain complete and in-depth information regarding the influence of the cooperative learning model on student learning outcomes at SDN 9 Limboto. The population of this study were students at SDN 9 Limboto with a sample size of 104 students. Data was collected using a questionnaire, and data was analyzed using simple linear regression analysis. The research results show that the cooperative learning model has a significant effect on student learning outcomes. The model influence is 26.2% with a correlation of 51.2%. The regression model obtained from the analysis is Y = 47.392 + 0.458X. This model shows that every increase in cooperative learning by one unit will have an influence on student learning outcomes at SDN 9 Limboto by 0.458. The implications of this research show that cooperative learning has a significant influence on student learning outcomes at SDN 9 Limboto, so it is recommended that this learning model be maintained and can be collaborated with other models or media so that the model is more varied.