Claim Missing Document
Check
Articles

Found 4 Documents
Search
Journal : Physics Learning and Education

THE INFLUENCE OF A GENERATIVE LEARNING MODEL BASED ON WAVE MATERIAL COGNITIVE CONFLICT ON STUDENT LEARNING OUTCOMES AT SMAN 5 PAYAKUMBUH Agustin, Novia; akmam, akmam
Physics Learning and Education Vol. 2 No. 2 (2024): June Edition
Publisher : Department of Physics Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/ple.v2i2.127

Abstract

Student learning outcomes in Physics subjects, especially in Wave material, are still low. This is caused by the learning model used in the Wave material not being being the process standards and characteristics of wave learning objectives. A generative learning model based on cognitive conflict is one approach to solving the aforementioned issue. The purpose of this study is to ascertain how student learning outcomes at SMAN 5 Payakumbuh are affected by the use of a generative learning model based on cognitive conflict in Wave content. The type of research is quasi-experimental research with a pretest-posttest Control Group Design. The participants in this study were all SMAN 5 Payakumbuh science class XI students. The information gathered reflects the attitudes, knowledge, and abilities of the pupils toward learning. Two averages are tested for equality as a data analysis technique. The study's findings demonstrate the notable distinctions between classrooms that employ the Problem-Based Learning model and those that employ the Generative learning model based on cognitive conflict. The average student learning outcome in classes that apply the Generative learning model is 83.14 and in classes that apply the Problem-Based Learning model is 77.26. The influence of the generative learning model based on cognitive conflict can be seen in the learning outcomes of students who have been analyzed and hypothesis tested. Based on the hypothesis test, the ttable is 2.006 and the tcount is 2.1. The condition for H0 to be rejected is if ttable < tcount. The tcount value is within the rejection of H0, so HI is accepted. Because all variables are controlled, except the learning model, it can be said that the application of the Generative learning model based on cognitive conflict in Wave material has a positive effect on student learning outcomes.
Design of Cognitive Conflict-Based Generative Learning LKPD on Measurement Material to Improve Creative Thinking Ability of Class X High School Learners Fitri, Hidayatul; Akmam, Akmam; Ratnawulan, Ratnawulan; Suherman, Dea Stivani
Physics Learning and Education Vol. 3 No. 2 (2025): June Edition
Publisher : Department of Physics Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/ple.v3i2.221

Abstract

Education and learning play an important role in developing individual character and skills. Learning is a process that is specifically designed to help individuals develop their thinking skills. Learning models can be an effective tool to achieve optimal learning. LKPD will certainly be more effective with the help of learning models in improving student learning outcomes. The problem found is that the use of LKPD in learning has not helped students to construct new knowledge with old knowledge they already have, the learning model is not optimal for building new knowledge of students and students' creative thinking skills are still relatively low. This research aims to develop a valid and practical cognitive conflict-based generative learning LKPD. This research uses the Research and Development (R&D) method with the 4D development model (define, design, develop, disseminate). The define stage includes needs analysis and problem identification. At the design stage, the LKPD was designed by considering the content, structure, and aesthetic components. The develop stage involves validity testing by experts, as well as practicality testing by practitioners and users. Based on the validation and practicality instruments that have been analyzed, it can be concluded that the LKPD for cognitive conflict-based learning on measurement material produced is valid with Aiken's V of (0.9) with a valid category. While the practicality of educators and students is obtained at (90.1) and (90.4) with a very practical category.
The Implementation of a Generative Learning Model With Contextual Approach Toward Physics Learning Outcomes Parni, Nurul Hasanah; Akmam, Akmam
Physics Learning and Education Vol. 1 No. 3 (2023): September Edition
Publisher : Department of Physics Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/ple.v1i3.72

Abstract

Learning is an interactive process among students to accomplish the educational outcome. The problem occurring is that the students give few participations in during the learning process, since they only listen to the teachers, as a result, they are not able to develop their own knowledge so the learning outcome is low. The solution offered to improve the learning outcome is implement generative learning model which is based on contextual approach. The goal of the study is to discover the impact of generative learning model based on contextual approach toward the results of students learning about dynamic fluid material in the second grade of High School 13 Padang particularly science students. This is a quasi experiment research with Post-test Only Control Design. The population of this research is science students of High School number 13 Padang in the year of 2022/2023. The technique used to achieve data is Purposive Sampling. The sample is XI Science 1 students as experiment class and XI Science 3 as control group. The instrument applied is written test in form of multiple questions. Data analysis was done by mean similarity test. The result showed a significant variation between students learning outcome from the group which utilized generative learning model PBL. The average of student’s learning outcome in experiment group is 73.14 and control group PBL is 69.83. Based on the equality test two averages are obtained tcount 9.70 and ttable=1.995 in significant level alfa = 0,05. The H0 requirement refused is if ttable < tcount. The mark of tcount is in the denial of H0 hereby Hi is received. It proves that generative learning model based on contextual approach affected students learning outcome.
Implementation of Generative Learning Models with Probing Question Methods in Static Fluid Learning Hendini, Elvira; Akmam, Akmam; Gusnedi, Gusnedi; Sundari, Putri Dwi
Physics Learning and Education Vol. 1 No. 3 (2023): September Edition
Publisher : Department of Physics Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/ple.v1i3.85

Abstract

Learners who cannot connect the new knowledge received with previous knowledge will find it difficult to understand learning, causing low learning outcomes. The solution offered is to apply a generative learning model with the probing question method. The purpose of the study was to determine the effect of applying a generative learning model with probing question method on the learning outcomes of students in Static Fluid material class XI SMAN 14 Padang. The type of research is Quasi Experimental. The study population was all students of class XI MIPA. Sampling using purposive sampling technique. The research sample is XI MIPA 4 class as an experimental class and XI MIPA 5 class as a control class. A written page in the shape of an objective serves as the tool. The findings revealed a substantial contrast between classes using PBL learning models with probing question techniques and classes using generative learning models with these techniques in terms of the learning outcomes of the students. When compared to the control class, the experimental class's average learning outcomes were 81, while it was 78.4. At a significant threshold of alpha = 0.05, it was determined that tcount = 8.704 and ttable = 1.995 based on the equality test of the two averages. If ttable< tcount, then H0 must be disregarded. The significance of tcount lies in the rejection of H0 and acceptance of H1, which demonstrate that the generative learning model with the probing question method has a beneficial impact on learning outcomes.