Pengaruh Penggunaan Aplikasi Zoom Meeting Terhadap Kemampuan Pemecahan Masalah Matematika Siswa Pada Pembelajaran Daring Di Kelas V

The purpose of this study is to explore the influence of the use of zoom meeting applications on students' math problem-solving skills in online learning in class V. The method in this study uses survey methods. The sample in this study was all VA SDN Duri Kepa 05 students as many as 30 students. Instruments to collect data used in this study are the use of zoom meeting applications and tests of students' math problem-solving skills. The results of the study obtained using a partial test (t) that showed that a significant 0.00 < 0.05. These results showed H0 was rejected and H1 accepted, meaning there was a significant influence between the use of zoom on students' problem-solving abilities.

More Effort, Less Fatigue: The Role of Interest in Increasing Effort and Reducing Mental Fatigue

People generally prefer easier over more difficult mental tasks. Using two different adaptations of a demand selection task, we show that interest can influence this effect, such that participants choose options with a higher cognitive workload. Interest was also associated with lower feelings of fatigue. In two studies, participants (N = 63 and N = 158) repeatedly made a choice between completing a difficult or easy math problem. Results show that liking math predicts choosing more difficult (vs. easy) math problems (even after controlling for perceived math skill). Two additional studies used the Academic Diligence Task (Galla et al., 2014), where high school students (N = 447 and N = 884) could toggle between a math task and playing a video game/watching videos. In these studies, we again find that math interest relates to greater proportion of time spent on the math problems. Three of these four studies also examined perceived fatigue, finding that interest relates to lower fatigue. An internal meta-analysis of the four studies finds a small but robust effect of interest on both the willingness to exert greater effort and the experience of less fatigue (despite engaging in more effort).

How Avatar Customization Affects Fear in a Game-based Digital Exposure Task for Social Anxiety

The treatment of social anxiety through digital exposure therapy is challenging due to the cognitive properties of social anxiety-individuals need to be fully engaged in the task and feel themselves represented in the social situation; however, avatar customization has been shown to increase both engagement and social presence. In this paper, we harness techniques used in commercial games, and investigate how customizing self-representation in a novel digital exposure task for social anxiety influences the experience of social threat. In an online experiment with 200 participants, participants either customized their avatar or were assigned a predefined avatar. Participants then controlled the avatar through a virtual shop, where they had to solve a math problem, while a simulated audience within the virtual world observed them and negatively judged their performance. Our findings show that we can stimulate the fear of evaluation by others in our task, that fear is driven primarily by trait social anxiety, and that this relationship is strengthened for people higher in trait social anxiety. We provide new insights into the effects of customization in a novel therapeutic context, and embed the discussion of avatar customization into related work in social anxiety and human-computer interaction. ?

Solving Math Word Problems with Teacher Supervision

Math word problems (MWPs) have been recently addressed with Seq2Seq models by `translating' math problems described in natural language to a mathematical expression, following a typical encoder-decoder structure. Although effective in solving classical math problems, these models fail when a subtle variation is applied to the word expression of a math problem, and leads to a remarkably different answer. We find the failure is because MWPs with different answers but similar math formula expression are encoded closely in the latent space. We thus designed a teacher module to make the MWP encoding vector match the correct solution and disaccord from the wrong solutions, which are manipulated from the correct solution. Experimental results on two benchmark MWPs datasets verified that our proposed solution outperforms the state-of-the-art models.

Analisis Kemampuan Pemecahan Masalah Matematika Ditinjau dari Tingkat Self-Confidance Peserta Didik Kelas VIII

This study aims to describe mathematical problem-solving ability based on the level of self-confidence. This type of research is a qualitative descriptive study with a quantitative approach. The data collection technique in this research is to provide test (10 multiple choice questions and 2 description questions), questionnaires, and interviews. The results showed that students with high level of self-confidence with high mathematical problem-solving abilities were able to achieve 3 out of 4 indicators of assessing problem solving abilities well, namely indicators of understanding problems, devising a plan, and carrying out the plans. Students with high level of self-confidence with moderate math problem solving abilities are able to achieve 1 of 4 indicators well, namely carrying out the plans, achieve 2 of the 4 indicators quite well, namely indicators of understanding problems and devising a plan, and less able to achieve 1 of 4 indicators namely looking back indicators. Students with high level of self-confidence with low math problem solving abilities are able to achieve 1 of 4 indicators well, namely indicators of understanding the problem. However, it does not reach 3 indicators, namely devising plans, is carrying out the plan and looking back.