The Covid-19 pandemic has forced an immediate transition from face-to-face learning in classrooms to online learning, including math learning. Mathematics with abstract working objects is not easy to learn online. So, an excellent self-regulated learning ability is required. So far, many efforts have been made to improve self-regulated learning in mathematics learning. However, there are still gaps in improving students' self-regulated learning ability in online mathematics learning, especially in relation to the integration of GeoGebra into the Flipped Learning approach. The purpose of this study is to examine the effectiveness of integrating GeoGebra into the Flipped Learning approach to improve students' self-regulated learning ability in learning mathematics online during the Covid-19 pandemic. This research is a quasi-experimental study with a pretest-posttest control group design to compare the effectiveness of a GeoGebra-integrated Flipped Learning approach. A conventional Flipped Learning approach and a conventional learning approach increase students' self-regulated learning level in constructing their understanding of mathematical concepts during online learning in the Covid-19 pandemic. The study involved 60 students randomly selected from one of Indonesia's private universities. They were divided into three groups representing each approach. Pretest and posttest results were quantitatively analyzed using Normalized Gain (N-Gain) Score, Cohen's d effect size, and statistical descriptive. The analysis results revealed that GeoGebra-integrated Flipped Learning is more effective in increasing students' self-regulated learning level in online mathematics learning than the other two approaches. It is expected that the results of this study can provide insights into alternative solutions for improving the quality of online mathematics learning by increasing the level of self-regulated learning of students.
This study aims to: (1) examine the contribution of student activity and learning facilities to mathematical learning outcomes indirectly through learning independence, (2) examine the contribution of student activity and learning facilities to learning independence, (3) test the contribution of student learning independence to results learn math. This type of research is quantitative with the research subjects being all VII grade students of the Muhammadiyah Middle School Surakarta Special Program in 2018/2019. Data collection is done by questionnaire and documentation. The data analysis technique used is path analysis which has previously been carried out in five tests of data analysis prerequisites, namely: normality test with liliefors, linearity test, multicollinearity test, heteroscedasticity test and autocorrelation test. The results of the study with a significance level of 0.05, namely: (1) there is a contribution of student activity and learning facilities to learning outcomes indirectly through learning independence by 23.9%, (2) there is a contribution of student activity and learning facilities to learning independence by 64%, (3) there is a contribution of learning independence to mathematics learning outcomes of 15.68%.
BMT Artha Mandiri is a cooperative that provides savings and loans services. In providing credit, BMT Artha Mandiri still uses the manual method, namely by looking at the ledger and history of each customer, to find out whether the applicant is worthy or not worthy of credit so that it is not effective and efficient. The purpose of this research is to make an application that can predict whether a prospective customer is eligible or not to be given credit. Predictions are made using the data mining classification method, namely the C4.5 algorithm based on the supporting data each customer has to classify which factors have the most influence on the level of credit payments in the cooperative. In a built application, the C4.5 algorithm produces a decision tree that is easy to interpret based on the existing variables. In the application, there are features that can be used to make decisions about customers who will apply for credit at the cooperative. The blackbox test results on the application show that the application has been able to run as expected, while the results of the algorithm test also show that the application has been able to implement the C4.5 algorithm correctly. In addition, the results of testing for accuracy show that the maximum average value of Accuracy is 79.19%.
To face the global challenge, people need to master mathematics comprehensively which one of the ways is to integrate it with other fields such as science, technology, engineering and arts. Therefore, the implementation of STEAM Education approach is considered to be essential for in-service mathematics teachers especially in Indonesia. This study aimed to investigate the perceptions and attitudes of Indonesian in-service mathematics teachers towards the application of STEAM-based education in the teaching mathematics. Cross-sectional survey was used in this study engaging 110 respondents along the survey. The result was that STEAM Education is nor well-known by the majority of the respondents. For the perception, those who knew STEAM Education mostly believed that each topic of this approach was connected to each other, otherwise for those who did not know STEAM Education mostly said that each topic was stand alone. As for the attitude of respondents also divided into two, the first group of respondents stated that STEAM Education will be increasingly popular in the future and they will feel happy if teaching mathematics with STEAM Education. Whereas the second group of respondents looked more pessimistically related to projections of future application of STEAM Education that would be less popular, not to mention that they would feel unexcited to teach mathematics with the STEAM Education approach.
Several previous researchers have tried to review the results of previous research related to the development of learning tools using a systematic literature review (SLR) model. However, SLR research efforts that examine the development of learning tools carried out by Indonesian in-service and pre-service mathematics teachers are still limited. Therefore, this study seeks to answer two questions, namely (1) what is the mathematics learning sets developed by the Indonesian ISTs and PSTs, and (2) What instructional design model is used by the Indonesian ISTs and PSTs in developing mathematics learning sets. As many as 55 articles were selected using the PRISMA protocol by retrieving articles from the ERIC and Dimensions databases. The findings of the two questions are that the ADDIE model is the most widely used model by Indonesian PSTs and ISTs in developing learning sets. In addition, mathematics learning media and mathematics student worksheets are the most developed tools by authors. This study also examines several instructional designs and types of mathematics learning sets developed by researchers, which can undoubtedly be a refer-ence for subsequent researchers in developing mathematics learning sets.
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