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Self regulated learning is a constructive process that is active in setting learning goals. This ability should be owned by every individual to become a successful learner. Another thing students must have in order to be successful in the process and learning outcomes is motivation. This research was conducted to investigate the correlation between motivational of biology learning with self regulated learning (SRL) in grade X MIPA 9 SMA Negeri 1 Kota Tasikmalaya. The research was carried out in April 2019. The research method used was correlation. The population of this research was all students of  X MIPA 9 as many as 30 people. Samples were taken using saturated sampling techniques so that the entire population was sampled. The research instrument used in this study was Motivated Strategies for Learning Questionnaire (MSLQ) consists of 2 parts namely motivational belief and self regulated learning strategies. The data analysis technique used was bivariate correlation regression test. Based on the results of the study can be concluded that there is a significant simultaneous correlation between motivational of biology learning and with self regulated learning (R= 0,761; R2 = 0,580). It means that the contribution from motivational of biology learning towards SRL is 58%.

The latest learning in the 21st century requires learners to master various competencies to support their learning process and achieve the expected learning goals. This study aims to determine the relationship between self-regulated learning and learning motivation with metacognitive skills. The research was conducted in May 2020 at SMAN 1 of Tasikmalaya. The research used a quantitative approach to explore the correlation among variables observed involving a population of 177 students of class XI MIPA 1- XI MIPA 5 in academic year 2019/2020. The samples were 43 students selected using simple random sampling technique. Metacognitive Awareness Inventory (MAI) questionnaire adapted from Schraw & Dennison and Motivated Strategies for Learning Questionnaire (MSLQ) adapted from Pintrich & De Groot were used to collect the data. MAI is used to measure metacognitive skills, while MSLQ is used to measure self-regulated learning and learning motivation. MLSQ is a validated isntrumen, while MAI is tested for validity first and the results are valid. The analysis technique used was multiple linear regression tests. The results show that the correlation coefficient (R) was 0.747 and the coefficient of determination (R2) was 0.558. The contribution of self-regulated learning and learning motivation to metacognitive skills amounted to 55.8%.

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The current study aimed to investigate the factors affecting investment decision making. Moreover, the moderating effects of age, gender, and financial information were also tested. The study utilized a quantitative research design for that the data was collected using a structured questionnaire. The questionnaire was sent to 570 individuals out of that 374 questionnaires were returned however 372 of the questionnaires were found to be useable. The study framework had 6 constructs namely heuristics, financial information, corporate governance, risk aversion, and experience were independent variables while investment decision making was dependent variable while age, gender and financial education were moderating variables. All the latent construct were measured using multi items based on 5 point Likert scales from 1 strongly disagree to 5 strongly disagree. The results found the Heuristics, Risk Aversion, Financial Information, Corporate Governance and Experience to be significant factors affecting the investment decision making. Moreover, the moderating effect of gender was found to be significant in the relationship of (financial information, corporate governance, and experience) and investment decision making. The moderating effect of age was found to be significant in the relationship of (Heuristics, Corporate Governance, and Experience) and investment decision making while the moderating role of financial education was found to be significant in the relationship of (financial information, corporte governance and experience) and investment decision making.