Qualified learning materials is needed in the efforts to improve the quality of teaching-learning mathematics. Qualified learning materials can be obtained through development research. Learning materials in this study were learning materials that were developed based on guided discovery learning model. The learning materials was also developed by integrating local culture into a guided learning model. The local culture in this study was adapted to the local culture of the students, namely the Batak Toba. Learning materials in this study were developed using the development model of Thiagarajan et al. (1974). The result of second trial showed that learning materials based guided discovery learning with Batak Toba context improved students’ mathematical problem solving ability and self-efficacy significantly. Based on the results of the study, it was suggested that mathematics teachers make an effort qualified learning materials and integrate local culture in mathematics learning.
This study aimed to investigate the relationships between intrinsic motivation, self-efficacy, task value, and smartphone addiction. To examine the relationship between smartphone addiction and intrinsic motivation, a mediation model was developed, in which self-efficacy and task value acted as mediating variables. The Smartphone Addiction Scale and Motivated Strategies for Learning Questionnaire were administered to 534 high school students to collect data. The results revealed statistically significant negative relationships between smartphone addiction and students’ intrinsic motivation, self-efficacy, and task values. Additionally, self-efficacy and task value were found to be possible mediators within the model. These findings suggest that smartphone addiction may lead to a decrease in students’ intrinsic motivation by reducing their self-efficacy and task value. In conclusion, although smartphone use enhances our daily lives, it may also have negative effects on certain affective variables that play an important role in the learning process, as demonstrated in this study.
Solving long-horizon, temporally-extended tasks using Reinforcement Learning (RL) is challenging, compounded by the common practice of learning without prior knowledge (or tabula rasa learning). Humans can generate and execute plans with temporally-extended actions and quickly learn to perform new tasks because we almost never solve problems from scratch. We want autonomous agents to have this same ability. Recently, LLMs have been shown to encode a tremendous amount of knowledge about the world and to perform impressive in-context learning and reasoning. However, using LLMs to solve real world problems is hard because they are not grounded in the current task. In this paper we exploit the planning capabilities of LLMs while using RL to provide learning from the environment, resulting in a hierarchical agent that uses LLMs to solve long-horizon tasks. Instead of completely relying on LLMs, they guide a high-level policy, making learning significantly more sample efficient. This approach is evaluated in simulation environments such as MiniGrid, SkillHack, and Crafter, and on a real robot arm in block manipulation tasks. We show that agents trained using our approach outperform other baselines methods and, once trained, don't need access to LLMs during deployment.
Yelis Tria Monica, Shanti Listyawati, Elisa Herawati
The use of paracetamol in excessive doses can increase the hepatotoxicity effect, which causes acute hepatocellular injury. Dewa leaves (Gynura pseudochina (L.) DC) contain flavonoids, saponin, and tannin. This study aimed to determine the effect of ethanol extract from dewa leaves in reducing the impact of paracetamol induction on SGPT and SGOT levels and liver histology of white rats (Rattus norvegicus). The test was grouped into five treatment groups, namely: normal control; negative control with paracetamol induction 315mg/KgBW; Dewa leaf extract was administered with three variations in dosage, namely 3.15mg/KgBW, 3.50mg/KgBW and 3.85mg/KgBW and each treatment group consisted of 5 rats as replications. Dewa leaf extract was administered to the experimental animal, followed by the administration of paracetamol 8 hours after the extract was given orally; both treatments were given for 14 days. Measurement of SGPT and SGOT levels uses the photometric method. The hepatoprotective effect was further verified by histopathology of the liver. Liver histology was made using the paraffin method. SGPT levels, SGOT levels, and Hepatocyte Damage Scores were analyzed using Analysis of Variance (ANOVA); if the results are significant, continue with the Least Significance Difference (LSD) test at a significance level of 5%. The results of this study show that the administration of dewa leaf extract was not able to significantly reduce SGPT and SGOT levels in rats. The administration of dewa leaf extract at doses of 3.50mg/KgBW and 3.85mg/KgBW significantly prevented histological damage to rat livers.