Mathematics educators have reported on many issues regarding students’ mathematical education, particularly students who received mathematics education at different departments such as engineering, science or primary school, including their difficulties with mathematical concepts, their understanding of and preferences for mathematical concepts. This study aimed to investigate the opinions of primary-school teacher education students in terms of their perceptions of difficulty level of the mathematics courses, change in their achievement, if there is any, and interest in mathematics after completing these courses, and factors affecting their achievement and interest level in these courses. Being qualitative in nature, this study was a case study. The data were analyzed using the content analysis and descriptive methods. According to the results, most students stated that they faced mathematics course content with unexpected level of difficulty. After taking basic mathematics courses, the percentage of students with decreased level of interest and achievement in mathematics was found higher than the students who experienced an increase in their interest and achievement. Students underlined such significant factors for the change of their interest and achievement in mathematics as prior knowledge, lecturer(s), and content coverage. Finally, most of the students viewed mathematics courses as a beneficiary tool for their professional development.

This research aims to complete Turkish adaptation, validity and reliability studies for the Math and Me Survey developed by Adelson and McCoach for use in determining the students’ attitudes towards mathematics in the transition from primary school to middle school. Within the scope of validity and reliability studies for the scale, data gathered from 1169 primary school students had item analysis, exploratory factor analysis and confirmatory factor analysis performed. In line with this, 18 items from the original scale were translated to Turkish and item equivalence between the original English and Turkish translation was ensured. During item analysis to determine the construct validity of the scale, an item with low item total correlation value was removed from the scale. The Cronbach alpha coefficient was calculated as .93. The Cronbach alpha coefficients from the scale subdimensions of Enjoyment and Self-Perception were calculated as .91 and .88. The confirmatory factor analysis results for the scale revealed perfect fit with the construct determined in the exploratory factor analysis results. Thus, the Math and Me survey can be said to be a valid and reliable tool for use in Turkish culture.

Gender differences in mathematics learning outcomes are still evident in many countries participating in large scale international testing, as well as in national testing in Israel, the context in which the study reported here was conducted. The participants were 281 students from three Israeli elementary schools and were in grades 4 and 6. The students completed a questionnaire with items based on a selection of variables included in explanatory models for gender differences in mathematics. It was found that many students held gendered beliefs related to mathematics learning, particularly when the questions asked related to themselves or to significant others in their lives (parents and teachers); the views of the majority of students were gender neutral. When presented with two photographs -a man, and a woman- and asked who was the one more likely to work with mathematics, it was clear that the students’ choices and explanations echoed perceptions of mathematics as a male domain.

This study aims to investigate the anxiety levels of secondary school students towards science course depending on a number of variables. Research sample consists of 2245 students who continue their education at public schools in Denizli in the academic year of 2017-2018. "Anxiety Scale for Science Course-which is developed by Kagitci and Kurbanoglu and "Personal Information Form" are used as data collection tools in the research. SPSS 22.0 package program is used for analysis of the data. Descriptive survey model is used in research. Parametric tests including One-Way ANOVA and independent samples t-test are used for analyzing data. As a result of the research, it is found out that secondary school students’ science anxiety levels significantly differ depending on the variables such as class level, the grade they received in science course, scientific books they read, the documentaries they watch, enjoying the science course and science teacher, educational level of parents, reviewing what they learn in science course and experiencing parental pressure for studying science course. However, there is found no significant difference between students' anxiety levels in terms of gender and their getting support while studying science.

Self-regulation is an active and constructive process in which students regulate and observe their own behaviour, motivations and cognition by setting their own goals during their learning process. In this study, the aim is to investigate the effects of biology laboratory practices that are supported by self-regulated learning strategies on students’ readiness for self-directed learning and their attitudes towards science experiments in laboratory settings. This study, which was undertaken as a quasi-experimental study in accordance with the pretest-posttest design with a control group, was implemented. Second year students who studied science teaching in the faculty of education at a state university in Konya in the academic year of 2018-2019 made up the sample of this study. There were two groups in the study which were “The Control Group” and “The Experimental Group”. In order to measure the students’ self-directed learning readiness levels, “Scale of Self-Directed Learning Readiness in Laboratory” was used and to measure attitudes towards science experiments “Scale of Attitudes towards Science Experiments” was utilized. Both scales were implemented as pre-tests before the study and as post-tests after the completion of the implementation process. The analysis of the data was conducted via SPSS 18. Independent samples t test was conducted to understand whether biology laboratory practices supported with self-regulated learning strategies have any effect on students’ readiness for self-directed learning and their attitudes towards science experiments in laboratories. According to the findings of the study, biology laboratory practices supported with self-regulated learning strategies were observed to make a significant difference in favour of the experimental group considering their self-directed learning readiness and their attitudes towards science experiments.

The aim of this study is to reveal the suggestions of guidance and psychological counseling candidates (GPC) in dealing with math anxiety. The study analysed 50 GPC candidates’ opinions and suggestions on math anxiety. The research study utilized case study method. The participants were asked to respond what kind of studies they would suggest to their clienst in order to overcome math anxiety once they begin to work in their profession. The interviews transcripts were converted into written documents. Content analysis was made on those documents to find GPC candidates’ suggestions and opinions. Based on the findings, it can be concluded that the reasons of math anxiety can vary from individual to individual. Therefore, it was emphasized that the studies to determine the causes of math anxiety should be specific for each individual. Then, consultancy service should be formed based on the assessment of reasons that cause anxiety for each person. If the individual's math anxiety is caused by environmental factors such as teachers, families and peers, guidance and psychological counseling services should be offered to these environmental factors.

A modern teaching method influences both direct and indirect learning achievement through the student's nonacademic factors. The researcher has an intention to examine the influences of new teaching methodology on mathematics achievement towards mathematics attitude, achievement motivation, and self-efficacy of students as mediating variables (n teacher = 117, n student = 2,205). The Multilevel Structural Equation Modeling revealed that attitude towards mathematics is the most important factor in explaining the academic achievement of individual students. It could be explained the variance with achievement motivation and perceived self-efficacy of students by 60.50%. As for the modern teaching method, there was a positive effect on achievement both directly and indirectly through all three factors with statistical significance and explained conjointly about the variance of student achievement in each classroom by 99.00%. This finding suggests the importance and direction of teaching design that covers the development of relevant factors as proposed in discussions and implementations.

The following analysis provides evidence from the comparative levels of anxiety towards mathematics of the variables from the categories presented by the AMARS and sociodemographic variables as well. A sample of 381 economics students in Mexico answered the survey. For data analysis, descriptive statistics (x̄, Sd.) was carried out and to identify if there are significant differences of means in the sociodemographic variables, the ANOVA analysis was carried out.  Although in general the anxiety towards mathematics presented in Mexican economics students is “very little”, in the dimension of mathematical evaluation the results of the descriptive analysis show that economics students from the south of Mexico have more anxiety than students from other regions. Regarding gender, women feel more anxiety than men towards mathematics evaluation. Likewise, students from public institutions show greater anxiety towards mathematics in the evaluation processes than those belonging to private. Finally, ANOVA test showed that the variable Region showed values less than 0.05 in two of three dimensions (ANXTASK and ANXCOUR). The ANXEVAL dimension showed values < 0.05 in the variable Gender as the ANXEVAL and ANXCOUR showed values < 0.05 in the variable University, this because there is a difference in means.

The research investigated the effect of socioeconomic status, gender, perceived parental influences, teacher affective support, classroom instruction and previous achievement on students’ attitude towards mathematics. The comparison of these effects was also done between urban and rural school students.  This research employed a cross-sectional quantitative design based on a structural equation modelling approach. The sample consisted of 808 students from ten secondary schools in Sabah, three of which were urban and seven were rural schools. Findings showed positive relationships exist between perceived parental influences (r = .231), teacher affective support (r = .242), classroom instruction (r = .439), and previous achievement (r = .284) with students’ attitude towards mathematics. The multigroup analysis for urban and rural students showed similar results as the whole student group. However, for urban students, classroom instruction (r = 0.352) and previous achievement (r = -0.363) had the greatest impact on attitude towards mathematics. For rural students, the highest impact on attitude towards mathematics was from classroom instruction (r = 0.452) and teacher affective support (r = 0.246). The least impact for both groups was perceived parental influence. This study implied that factors affected students’ attitude towards mathematics in rural and urban secondary students are different

This study determined the challenging learning experiences of engineering students while completing their degree program as factor that might influence to their changing attitude towards achieving higher academic performance. Mixed method of research was utilised in the study considering the total population of 75 graduating students for quantitative and 12 students for qualitative part of the study using focus group discussion. Results showed that engineering students have significantly higher level of positive attitude towards academic performance during their junior level but significantly lower after taking professional courses. Attaining high academic performance still really matters for the engineering students during their junior level but continuously changing their perspective due to encountered challenging experiences while taking the professional courses. Performance in General Engineering courses describes the attitude of the students towards academic performance in personal aspect while professional courses define their attitude in professional aspect. The finding of the qualitative research revealed that there are three themes emerged in the challenging experiences of the engineering students and these are: Abandoned Social Freedom, Survival of the Fittest and Future Oriented Mindset which contributed to the changing perspectives of the engineering students.

This study examined information integration cognitive mechanisms underlying the test anxiety judgments of 474 engineering students. The experimental design considered the orthogonal combination of three factors (teaching style, exam type, and test mode), resulting in 12 experimental scenarios. During the experiments, participants were provided one scenario at a time and were asked to rate their anticipated anxiety level in the described situation. Subsequent analyses failed to reveal statistically significant differences in the anxiety levels reported by females and males. However, the factor selection and valuation female students adopted to make their anxiety judgments differed from those employed by their male peers. Cluster analysis identified three groups based on the anxiety level (low, medium, and high). The most relevant factor for all clusters was test mode, and only the medium anxiety group considered a second factor (exam type) to make their anxiety judgments, which was integrated through an additive cognitive rule. These findings suggest that participants place a higher weight on the examination context than its type when making their test anxiety judgments. Identifying these cognitive mechanisms underlying test anxiety could help regulate conditions that undermine the students' ability to cope with test anxiety.

The teaching and learning in Indonesian elementary schools focus both on students’ concept mastery and character development.  Teachers are encouraged to implement a learning model that integrates character values and yet promote learning interest.  This study was aimed at investigating the mathematics learning interest of grade three elementary school students through the integration of thematic learning with character education, referred to as the character-integrated thematic learning model. Using a quasi-experimental pretest-posttest control group design, this study involved 70 students and employed a questionnaire to obtain data, which were analyzed using descriptive and inferential statistical techniques. Descriptively, the average scores of students' learning interest before and after the implementation of the character-integrated thematic learning model are respectively 117.54 and 140.69 with the gain index of 0.44 in the fair category. While score obtained for thematic learning model are 116.11 and 120.23 with the gain index of 0.07 in the low category. The results of the statistical inference analysis using the independent sample t-test were obtained t-count of 4.98 > t-table of 1,667. This indicates that there has been a significant increase in students’ learning interest scores with the implementation of character-integrated thematic learning model. Thus, this learning model can be applied to pay attention to the development of student’s character which has an impact on increasing student’s learning interest.

This study explored the cognitive mechanism behind information integration in the test anxiety judgments in 140 engineering students. An experiment was designed to test four factors combined (test goal orientation, test cognitive functioning level, test difficulty and test mode). The experimental task required participants to read 36 scenarios, one at a time and then estimate how much test anxiety they would experience in the evaluation situation described in each scenario. The results indicate three response styles (low, moderate, and high-test anxiety) among the participants. The orientation and difficulty of each given exam scenario were the most critical factors dictating test anxiety judgments. Only the moderate test anxiety group considered the test mode to be a third relevant factor. The integration mechanism for Cluster 1 was multiplicative, while for Clusters 2 and 3, it was summative. Furthermore, these last two clusters differed in terms of the valuation of the factors. These results suggest that programs that help students to cope with test anxiety need to take into account the valuation and integration mechanism that students use to integrate different information in specific examination contexts, since the way students assess their internal and external circumstances can influence how they deal with evaluative situations.

During the Coronavirus disease (COVID-19) pandemic, universities were obligated to transform from traditional classroom teaching environments to virtual ones. This sudden transformation highlighted the issue of low e-learning system usage amongst instructors of humanity faculties in Jordan's public universities. This study empirically investigated the moderating impact of technology anxiety on the relationship between the instructor's self-efficacy and the e-learning system's actual use to contribute to solving the problem. A survey was distributed to 468 instructors to test the theoretical framework, which yielded 285 valid and complete instruments analyzed using Structural Equation Modeling (SEM). Results showed the positive direct effect of self-efficacy on actual use. Furthermore, the level of technology anxiety moderated the relationship. Instructors with low technology anxiety showed a higher level of e-learning system actual usage than those with a high anxiety level. To improve the use of e-learning systems, top management must understand the fundamental role of compulsory training as the Covid-19 pandemic, and the instructor's confidence must be increased by providing training and support.

In this research, the influence of the Coronavirus disease (COVID-19) pandemic on 9th grade students’ mathematics achievement is analyzed through quantitative and qualitative methods. A posttest only with control group design was used to compare the mathematics marks of 9th grade students from the previous school year (before the pandemic, control group) and the current school year (during the pandemic, experimental group). Seventy-three students from a public high school in Spain attending class on alternate days participated in the study. Three focus group sessions were held with students, and five semi-structured interviews were conducted—two with teachers and three with students’ families. Results show statistically significant differences in students’ mathematics achievement, with students enrolled in 9th grade the previous (pre-pandemic) year outscoring their peers currently enrolled in 9th grade (during the pandemic) by 22.17%. An overall negative effect size of Hedge’s g = -1.11 was reported. Although significant statistical differences between groups were reported for both male and female students, the effect was 42.31% larger for male students (Hedge’s g = -1.11) than for females (Hedge’s g = -0.78). The qualitative information supported the quantitative results. Changes in educational settings, students’ lack of motivation, monotony, and students’ level of responsibility were qualitatively reported as factors that may explain this phenomenon. The main conclusion of this study is that the COVID-19 pandemic may be significantly and negatively affecting 9th grade students’ mathematics achievement.

This study examined the impact of modular distance learning on students' motivation, interest/attitude, anxiety and achievement in mathematics. This was done at the Gabaldon, Nueva Ecija, Philippines during the first and second grading of the academic year 2021-2022. The study included both a descriptive-comparative and descriptive-correlational research design. The 207 high school students were chosen using stratified sampling. According to the findings, students have a very satisfactory rating in mathematics. Students agree that they are motivated, enthusiastic, and have a positive attitude toward mathematics. They do, however, agree that mathematics causes them anxiety. When students are subdivided based on sex, their mathematics interest and anxiety differ significantly. However, there was no significant difference in interest/attitude and achievement. When students are divided into age groups, their mathematics motivation, interest/attitude, anxiety, and achievement differ significantly. Students' motivation, anxiety, and achievement differ significantly by year level. There was a positive relationship between and among mathematics motivation, interest/attitude, and achievement. However, there is a negative association between mathematics anxiety and mathematics motivation; mathematics anxiety and mathematical interest/attitude; and mathematics anxiety and mathematical performance. The study's theoretical and practical implications were also discussed, and recommendations for educators and researchers were given.

Numerical thinking is needed to recognize, interpret, determine patterns, and solve problems that contain the context of life. Self-efficacy is one aspect that supports the numerical thinking process. This study aims to obtain a numerical thinking profile of Mathematics pre-service teachers based on self-efficacy. This study used descriptive qualitative method. The data obtained were based on the results of questionnaires, tests, and interviews. The results of the self-efficacy questionnaire were analyzed and categorized (high, moderate, and low). Two informants took each category. The results showed the following: informants in the high self-efficacy category tend to be able to interpret information, communicate information, and solve problems with systematic steps. Informants in the moderate self-efficacy category tend to be able to interpret and communicate information, but tend to be hesitant in choosing the sequence of problem-solving steps. Meanwhile, informants in the low self-efficacy category tend not to be able to fully interpret the information. As a result, the process of communicating information and solving problems goes wrong. Another aspect found in this study is the need for experience optimization, a good understanding of mathematical content, and reasoning in the numerical thinking process.

The pandemic case has shifted away from face-to-face teaching to online blended learning. This phenomenon certainly causes various problems in the world of education. The online blended learning is good when applied with good internet connections and complete facilities. However, it differs from Indonesian coastal students who do not have supporting facilities. Therefore, this research aims to analyze the experience and readiness of Indonesian coastal students. It determines the facilities of the process using qualitative research with a phenomenological approach. Purposive sampling was used to collect data from 25 students living in coastal areas in Aceh, Indonesia. Furthermore, in-depth interviews were used to obtain instruments and techniques for data collection, observations, field notes, and audio-visuals. Data analysis was carried out qualitatively by reducing, displaying, drawing conclusions, and verifying data. The data processing was conducted using NVivo 12 plus software. The kappa coefficient is used to check the accuracy of the data since there was no bias during coding. The analysis results show that Indonesian coastal students are not ready to conduct the online blended learning process. Furthermore, it is recommended that future research focus on coastal students’ development. A Hypothetical Learning Trajectory design should be created to assist in independent learning and lessen their readiness.

This study is qualitative with descriptive and aims to determine the process of generalizing the pattern image of high performance students based on the action, process, object, and schema (APOS) theory. The participants in this study were high performance eighth-grade Indonesian junior high school. Assignments and examinations to gauge mathematical aptitude and interviews were used to collect data for the study. The stages of qualitative analysis include data reduction, data presentation, and generating conclusions. This study showed that when given a sequence using a pattern drawing, the subjects used a number sequence pattern to calculate the value of the next term. Students in the action stage interiorize and coordinate by collecting prints from each sequence of numbers in the process stage. After that, they do a reversal so that at the object stage, students do encapsulation, then decapsulate by evaluating the patterns observed and validating the number series patterns they find. Students explain the generalization quality of number sequence patterns at the schema stage by connecting activities, processes, and objects from one concept to actions, processes, and things from other ideas. In addition, students carry out thematization at the schematic stage by connecting existing pattern drawing concepts with general sequences. From these results, it is recommended to improve the problem-solving skill in mathematical pattern problems based on problem-solving by high performance students', such as worksheets for students.

In today's World, data-driven methods are behind the determination of potential action plans in every area of life. These data-driven methods help individuals or policymakers to figure out the strengths and weaknesses on the subject that are worked on and to make a comparison to the best practices. Thus, actions can be taken immediately on the specific factors that have a huge impact on the topic investigated. In the educational area, countries are using the same approach to measure, monitor, and improve the quality of education by attending international studies. In this study, for both Turkish and Singaporean students, Artificial Neural Network (ANN) model is performed to predict the students' mathematics achievement and to identify factors that have a high impact on achievement using Trends in International Mathematics and Science Study (TIMSS) in 2019 with the data of 3,586 Turkish and 4,750 Singaporean students. The reason behind comparing the results of Turkey to Singapore is that Singapore is the best-performing country in terms of mathematics achievement in the TIMSS in 2019. The model results show that the top two crucial factors in both countries are the frequency of absenteeism from school, and students’ confidence in mathematics with the accuracy of 75%. In addition, relevant policy implications are given based on the importance level of significant factors.