Research on Self-Regulated Learning in Mathematics Learning (1980-2023): A Bibliometric Review

. Self-regulated learning (SRL) is the ability of individuals to use various strategies to achieve their learning goals effectively. The purpose of this study is to capture the research landscape related to Self-Regulation Student learning at the secondary school level from 1980 to 2023. The method used in this study is a descriptive bibliometric analysis method aimed at analyzing scientific literature, focusing on the measurement and description of patterns in bibliographic data. The Scopus database is used as the research data. The results showed that a rapid increase in the number of publications occurred from 2014 to 2015 and from 2017 to 2018. Publications in 2006 were cited more than in any other year. The United States of America is the most influential country in this field. Publications in journals related to self-regulated research The most learning is at the Q1 level. The focus of research related to this field is divided into three parts, namely, 1) development, practice, and tasks; 2) strategy, mathematics achievements, and reasoning; and 3) environment and understanding. The new themes in this research are self-efficacy, attitude, environment, age, and reasoning.


Introduction
Self-regulated learning (SRL) is an individual's ability to use various strategies effectively to achieve their learning goals (Cho et al., 2017).Selfregulated learning is a learning process that consists of the growth of behavior that affects student learning.The learning process is planned according to student goals so that the learning situation in the classroom changes (Puteha & Ibrahim, 2010).
According to Tee et al. (2021), an integral part of the learning process, which consists of any actions, behaviors, and strategies that learners choose to facilitate their learning, is called self-regulation.So, self-regulated learning is a person's ability to plan the learning process in accordance with the learning objectives.
Self-regulated learning will occur when students actively control themselves from everything they do and are able to plan something, evaluate, and reflect on what they have experienced (Ciptaningtyas et al., 2018).So that students do not feel inferior in dealing with math problems and can trust themselves, self-regulation is needed (Zetriuslita et al., 2020).Self-regulated learning (SRL) is an effective form of learning for students to set learning goals and make plans before the start of learning (Adam et al., 2017).SRL plays an important role in academic achievement (Xiao et al., 2019).Self-learning is a cyclical process that includes three phases.1) The thinking phase includes task analysis (goal setting, strategic planning) and selfmotivated beliefs (self-efficacy, goal orientation).2) performance/volition control, which includes self-control (self-instruction, concentration, task strategy).3) selfreflection which includes self-reflection (self-judgment, self-evaluation) and selfsatisfaction (Fauzi & Widjajanti, 2018) The self-regulation capacity of students is very important in learning mathematics, especially in secondary schools; the lack of self-regulation can limit the performance and abilities of students to participate fully in class (Semana & Santos, 2018).SRL serves as a comprehensive framework for understanding how active students are in the learning process in class; SRL involves a number of cognitive, motivational, and behavioral aspects (Fadlelmula et al., 2015).Students with a high level of self-regulation, including emotional regulation, attention, and behavior, positively influence the teacher's expectations of them (İvrendi, 2016).
publications.The feasibility process is carried out after screening.In this stage, the researcher manually checks the 67 publications.The researcher checks and ensures that the article discusses self-regulation learning in mathematics learning at the high school level; articles that were inappropriate or did not contain these were not included in the next process.After feasibility, 56 publications that met the requirements were obtained and could be continued at the inclusion stage.Data that has been obtained from the database Scopus, as many as 56 publications will be grouped based on (Q1), (Q2), (Q3), and (Q4).The publications related to self-regulated learning have been published in the abovementioned journal.
The research focuses on self-regulation learning in mathematics learning in secondary schools.It is carried out with the help of the VOSviewer application by analyzing events with keywords.The researcher sets a threshold for displaying the research focus; namely, the researcher sets a minimum of 3 publications that use the keywords together.

Results and Discussion
Publications related to self-regulated learning have gone through the data collection process so that 56 publications from 1980 to 2023 follow the criteria, then a descriptive bibliometric analysis was carried out.Publication trends, citation trends, country and journal distribution, and research focus will be discussed further.How do quote trends relate to self-regulated learning in mathematics learning?

How do publication trends
Trending quotes related to self-regulated learning from 1980 to 2023 can be seen in Table 1.As with publication trends, as many as 56 publications are grouped by year of publication, which will be seen based on total publications per year, NCP, TC, C/P values, and others, which can be seen in Table 1.Chen & Chiu's (2016) research has the most citations, with 33 total citations.The article is widely cited for designing a set of computerized collaboration scripts for multitouch that support collaborative designbased learning and evaluating their effects on various aspects of metacognitive selfregulation in terms of planning and control and achievement of mathematical literacy at higher and lower levels.In addition, the study suggests that future research can track medium-or long-term developments in metacognitive selfregulation.Another avenue of further investigation is to compare what students express on the metacognition scale and how much their learning behavior has changed in reality.However, this requires a qualitative or mixed methods approach.
Research conducted by İvrendi (2016) has the second-highest number of citations, with 27 citations.This study aims to determine the predictive power of the number value sense and self-regulation of kindergarten children on their math

Figure
Figure 1.Data Collection Process Figure 2 below.

Figure 2 .Figure 2
Figure 2. Number of Publications from 1980 to 2023 Figure 2 shows that 2016 and 2020 have published six articles, the highest number of publications compared to other years.It can be seen that publications do not always increase yearly, even though the number of publications from 1980 to 2014 has not changed much.A rapid increase in the number of publications occurred from 2014 to 2015 and from 2017 to 2018, which experienced an increase of 300 percent.Following what was conveyed by Adam et al. (2017), around 2017, articles related to self-regulated learning have been widely published.

Table 1 . Citation Analysis of Publications Table
TP=total of publication , NCP= number of cited publication , TC=total citations , C/P= average citations per publication , C/CP= average citations per cited publication , h=h-index , g=g-index 1 above shows that the value (NCP) in 2016, which was 6, was the year with the highest NCP compared to other years.Then, judging from the number of citations, publications in 2006 have been cited more than any other year, with 148 citations.The number of publications in 2020 and 2016 was the same, namely six publications each, and was the most significant compared to the previous year.So, it can be said that 2016 also had a big impact on this research.A total of 6 publications that have been cited in 2016 have a total of 101 citations, meaning that at least 6 of these publications have been cited 16 times each.The publications in 2016 had a major impact on this field.The publications in 2016 can be seen in