Why Do Children Who Solve False Belief Tasks Begin to Find True Belief Control Tasks Difficult? A Test of Pragmatic Performance Factors in Theory of Mind Tasks

The litmus test for the development of a metarepresentational Theory of Mind is the false belief (FB) task in which children have to represent how another agent misrepresents the world. Children typically start mastering this task around age four. Recently, however, a puzzling finding has emerged: Once children master the FB task, they begin to fail true belief (TB) control tasks. Pragmatic accounts assume that the TB task is pragmatically confusing because it poses a trivial academic test question about a rational agent’s perspective; and we do not normally engage in such discourse about subjective mental perspectives unless there is at least the possibility of error or deviance. The lack of such an obvious possibility in the TB task implicates that there might be some hidden perspective difference and thus makes the task confusing. In the present study, we test the pragmatic account by administering to 3- to 6-year-olds (N = 88) TB and FB tasks and structurally analogous true and false sign (TS/FS) tasks. The belief and sign tasks are matched in terms of representational and metarepresentational complexity; the crucial difference is that TS tasks do not implicate an alternative non-mental perspective and should thus be less pragmatically confusing than TB tasks. The results show parallel and correlated development in FB and FS tasks, replicate the puzzling performance pattern in TB tasks, but show no trace of this in TS tasks. Taken together, these results speak in favor of the pragmatic performance account.

Research on Teaching Resource Recommendation Algorithm Based on Deep Learning and Cognitive Diagnosis

With the increasing abundance of network teaching resources, the recommendation technology based on network is becoming more and more mature. There are differences in the effect of recommendation, which leads to great differences in the effect of recommendation algorithms for teaching resources. The existing teaching resource recommendation algorithm either takes insufficient consideration of the students’ personality characteristics, cannot well distinguish the students’ users through the students’ personality, and pushes the same teaching resources or considers the student user personality not sufficient and cannot well meet the individualized learning needs of students. Therefore, in view of the above problem, combining TDINA model by the user for the students to build cognitive diagnosis model, we put forward a model based on convolution (CUPMF) joint probability matrix decomposition method of teaching resources to recommend the method combined with the history of the students answer, cognitive ability, knowledge to master the situation, and forgetting effect factors. At the same time, CNN is used to deeply excavate the test question resources in the teaching resources, and the nonlinear transformation of the test question resources output by CNN is carried out to integrate them into the joint probability matrix decomposition model to predict students’ performance on the resources. Finally, the students’ knowledge mastery matrix obtained by TDINA model is combined to recommend corresponding teaching resources to students, so as to improve learning efficiency and help students improve their performance.

How does Rasch modeling reveal difficulty and suitability level the fraction test question?

This article explains how to analyze test items in arithmetic operation with fractions to obtain the items' level of difficulty and fitness. Data were collected by using multiple-choice questions given to 50 fourth-grade students of an elementary school in Tasikmalaya city. The answers were then analyzed using the Rasch model and Winsteps 3.75 application, a combination of standard deviation (SD) and logit mean values (Mean). The score data of each person and question were used to estimate the pure score in the logit scale, indicating the level of difficulty of the test items. The categories were difficult (logit value +1 SD); very difficult (0.0 logit +1 SD); easy (0.0 logit -1 SD); very easy (logit value –SD). Three criteria were used to determine the level of difficulty and fitness of the questions: the Outfit Z-Standard/ZSTD value; Outfit Mean Square/MNSQ; and Point Measure Correlation. It resulted in a collection of test items suitable for use with several levels of difficulties, namely, difficult, very difficult, easy, and very easy, from the previous items, which had difficult, medium, and easy categories. Rasch model can help categorize questions and students' ability levels.

PEMANFAATAN E-MODUL BERBANTUAN VIRTUAL LABORATORY DALAM PEMBELAJARAN IPA MAHASISWA CALON GURU SEKOLAH DASAR DI MASA PANDEMI COVID-19

The purpose of this study was to analyze the effectiveness of using virtual laboratory-assisted E-modules in science learning for prospective elementary school teacher students during the Covid-19 pandemic. This research method is an experiment with a quasi-experimental design. The subjects of this study were students of the PGSD study program FKIP UPY which consisted of two classes, namely class A5-20 as the experimental group and class A6-20 as the control group. The data collection instrument used a test question sheet consisting of pre-test and post-test question sheets. Data analysis technique using t-test and Normalized Gain (N-Gain). The results showed that there was a significant difference in science learning achievement between experimental group students and control group students as indicated by the value of t count = 2,799 > t table = 1,988 and (p) count = 0 < 0.05. Meanwhile, based on the results of the N-Gain test, it is known that the increase in science learning achievement in the experimental group obtained an N-Gain of 0.73 which is in the high category and in the control group an N-Gain of 0.52 is obtained which is in the medium category. Based on these results, it can be concluded that the use of e-modules assisted by virtual laboratories is effectively used in science learning for prospective elementary school teacher students during the COVID-19 pandemic.

Based on Knowledge Recognition and Using Binomial Distribution Function to Establish a Mathematical Model of Random Selection of Test Questions in the Test Bank

With the in-depth development of social reforms, the scientificization of enterprise online examinations has become more and more urgent and important. The key to realizing scientific examinations is the automation and rationalization of propositions. Therefore, the construction and realization of the test question bank is also more important. In the realization of the entire test question database, how to select satisfactory test questions randomly from a large number of test questions through the selection of test questions so that the average difficulty, discriminability, and reliability of the test are satisfactory? These requirements are also more important. Among them, random selection of questions is an important difficulty in the realization of the test question bank. In order to solve the difficulties of random selection of these test questions, the author combines the experience of constructing the test question bank and uses the discrete binomial distribution to draw conclusions. Random variables established the first mathematical model for topic selection. By determining the form of the test questions and the distribution of the difficulty of the test questions and then making it use a random function to select questions, this will achieve better results.

Research on English Online Test Platform Based on Real-Time Web Communication Technology

Due to the multiattribute and multi-related problems of the target English test platform, the efficiency of the platform is low. In order to solve the problem of insufficient control of the difficulty of the test questions in the process of English test paper generation, this paper designs an English test platform based on real-time network communication technology. The English test platform designed in this paper includes three modules: user management module, question bank management module, and test paper management module. Among them, in the test paper management module, we extract English test questions according to the test paper generation strategy, then use real-time web communication technology according to the test paper generation target, and, through effective update of pheromone, solve the problem of high test question repetition rate in automatic test paper generation and design the network. The self-learning platform and English test platform modules have completed the design of the English test platform based on real-time network communication technology. The experimental results show that the designed English test platform has a high success rate, quick test paper generation time, and good application value.

Smartphone application improves fertility treatment-related literacy in a large-scale virtual randomized controlled trial in Japan

People of reproductive age have unmet needs related to deficiencies in fertility literacy. Here, we aimed to investigate whether providing fertility-related information via a smartphone application could improve fertility treatment-related literacy in participants. We performed a randomized control-group pretest posttest study and recruited participants between June 18 and 25, 2020. Participants’ fertility treatment-related literacy was assessed with a pretest that comprised of 28 questions and participants were allocated with stratified randomization to either intervention group or control group. The intervention comprised a one-week smartphone application-based provision of information on fertility-related information and the control group received general information about women’s healthcare. Effectiveness of intervention was assessed using a posttest. A total of 4137 participants were administered the questionnaire and pretest, among which 3765 participants (91.0 %) responded and were randomly allocated into either the intervention group (N = 1883) or the control group (N = 1882). A significantly higher posttest mean score was observed for the intervention group compared to the control group (P = 0.0017). We also observed that posttest scores were significantly improved compared to pretest scores in both the intervention and control group (P < 0.001). When examining by specific test question, the proportion answering correctly increased at posttest compared to pretest for both intervention and control groups (P < 0.001). Furthermore, the intervention group showed a greater mean difference between posttest and pretest scores than the control group (P < 0.001). In conclusion, educational intervention using a smartphone application contributed to enhancing fertility treatment-related literacy.

Biodiversity with problem-based learning: impact on quality of students’ scientific argumentation

This study aims to determine the effect of problem-based learning (PBL) on the scientific argumentation of class X students at Senior High School in Indralaya, Indonesia, on biodiversity education. The research method was quasi-experimental with a non-equivalent control group research design. This research was conducted in class X-science-3 (n=33) as an experiment and X-science 4 (n=33) as a control at Senior High School in Indralaya, Indonesia. The data collection instrument was a test question that included scientific argumentation skills in essay questions and recorded class discussions. Data on writing scientific arguments are analyzed using cohesion and coherence, sentence effectiveness, concept correctness, critical analysis of problems and problem-solving. Data on the ability of scientific argumentation in writing and oral are also analyzed based on Toulmin's claim, data, warrant, backing, rebuttal, and qualifier. Furthermore, based on the Toulmin aspect, the students' quality level of scientific argumentation is determined. The result showed that the level of argumentation quality of students who applied the PBL model was mainly at level 3, while the control class was mainly at level 1. The effect being studied is significant. The PBL can significantly influence the ability of scientific argumentation in class X students at senior high school in Indralaya, Indonesia.

Building Mathematical Concepts Through Traditional Games to Develop Counting Skills for Early Childhood

In recent years, fun learning methods have almost disappeared from school classrooms. In addition, there is a reduction in active and creative playtime so that students feel bored. This study aims to build (C5) simple mathematical concepts with the traditional game Dakon and Snakes and Ladders in developing numeracy skills in children with high and low order thinking abilities. The type of research used is quasi-experimental research (quasi-experimental) with a 2x2 factorial design. The subjects in this study were 60 children in group B. The data collection techniques used in this study were tests and observations. The instrument used is a test question, and the observation sheet uses five indicators to measure the ability to count ata analysis using Two Way ANOVA test. This research aims to build a simple mathematical concept with traditional dakon games to develop numeracy skills in children with higher-order thinking skills, which gives better results than the traditional snake and ladder game with a Mean Difference value of 1.533 and a Significance value of 0.0001. Building simple mathematical concepts with traditional dakon games to develop numeracy skills in children with low-level thinking abilities gave better results than the traditional snake and ladder game with a Mean Difference value of 2.867 and a Significance value of 0.0001. Thus, it can be concluded that the traditional dakon game is very well used to build simple mathematical concepts, especially numeracy skills.

Survey-based Evaluation of Resident and Attending Financial Literacy

Introduction: Physician finances are linked to wellness and burnout. However, few physicians receive financial management education. We sought to determine the financial literacy and educational need of attending and resident physician at an academic emergency medicine (EM) residency. Methods: We performed a cross-sectional, survey study at an academic EM residency. We devised a 49-question survey with four major domains: demographics (16 questions); Likert-scale questions evaluating value placed on personal finances (3 questions); Likert-scale questions evaluating perceived financial literacy (11 questions); and a financial literacy test based on previously developed and widely used financial literacy questions (19 questions). We administered the survey to EM attendings and residents. We analyzed the data using descriptive statistics and compared attending and resident test question responses. Results: A total of 44 residents and 24 attendings responded to the survey. Few (9.0% of residents, 12.5% of attendings) reported prior formal financial education. However, most respondents (70.5% of residents and 79.2% of attendings) participated in financial self-learning. On a five-point Likert scale (not at all important: very important), respondents felt that financial independence (4.7 ± 0.8) and their finances (4.7±0.8) were important for their well-being. Additionally, they valued being prepared for retirement (4.7±0.9). Regarding perceived financial literacy (very uncomfortable: very comfortable), respondents had the lowest comfort level with investing in the stock market (2.7±1.5), applying for a mortgage (2.8±1.6), and managing their retirement (3.0±1.4). Residents scored significantly lower than attendings on the financial literacy test (70.8% vs 79.6%, P<0.01), and residents scored lower on questions pertaining to investment (78.8% v 88.9%, P<0.01) and insurance and taxes (47.0% v 70.8%, P<0.01). Overall, respondents scored lower on questions about retirement (58.8%, P<0.01) and insurance and taxes (54.7%, P<0.01). Conclusion: Emergency physicians’ value of financial literacy exceeded confidence in financial literacy, and residents reported poorer confidence than attendings. We identified deficiencies in emergency physicians’ financial literacy for retirement, insurance, and taxes.