Student Achievement Research Articles

Science and Mathematics Teachers’ Integration of TPACK in STEM Subjects in Qatar: A Structural Equation Modeling Study

This study aimed to explore how secondary school science and mathematics teachers in Qatar integrate Technological Pedagogical Content Knowledge (TPACK) into their teaching practices. The study examined the relationships between the subcomponents of TPACK using structural equation modeling (SEM), complemented by an analysis of additional categorical variables. A total of 245 science and mathematics teachers from Qatar participated in the research. The model’s findings showed that the internal components—technological knowledge, pedagogical knowledge, and content knowledge—had a significant and positive direct effect on the external factors: technological pedagogical knowledge, technological content knowledge, and pedagogical content knowledge. However, these internal components did not directly impact TPACK itself. Together, these variables accounted for 77% of the variance in TPACK. Among the findings, Technological Content Knowledge (TCK) emerged as one of the most influential variables affecting TPACK, emphasizing its importance in teachers’ TPACK integration. On the other hand, it was found that Pedagogical Content Knowledge (PCK) did not have a direct and significant effect on TPACK. Categorical variables like certificates and postgraduate education significantly impact TPACK and its subcomponents, while gender, field of study, and teaching experience do not. This finding underscores the importance of structured training and postgraduate education in enhancing TPACK skills for science and mathematics teachers. Participation in technology-based certification programs and postgraduate studies in STEM is crucial for their TPACK development in teaching STEM subjects. Future studies could explore the long-term impact of structured, technology-based training programs on enhancing STEM teachers’ TPACK development and assess how this improvement influences student learning outcomes in science and mathematics classrooms. This would provide deeper insights into the effectiveness of such programs and their potential to transform teaching practices and student achievement in STEM education.

ICT and academic achievement in secondary education: A hierarchical linear modelling

AbstractBackgroundThe unprecedented access to information in the 21st century entails a deep understanding of information and communication technology (ICT)‐related factors in education and their impacts on learning and teaching. The role of attitudes towards ICT is a proven factor in student achievement. However, there is no consensus about the direction of this impact.ObjectivesThis study aimed to explore the relationship between student attitudes towards ICT including interest in ICT (INTICT), perceived ICT competence (COMPICT), perceived autonomy related to ICT use (AUTICT) and ICT in social interaction (SOIAICT), and their achievement scores for mathematics, reading, and science by analysing student‐, school‐, and country‐level factors hierarchically in the quartiles of performance.MethodsThe study group was determined as 300,279 15‐year‐old students from 21,903 schools in 53 countries. Descriptive and correlational analyses were carried out in addition to the hierarchical linear modelling (HLM) employed to reveal the relationship between attitudes towards ICT and academic achievement in mathematics, reading, and science through the investigation of student‐, school‐, and country‐level factors hierarchically in the quartiles of performance.Results and ConclusionsThe results detected moderate to weak relationships among the constructs of INTICT, COMPICT, AUTICT and SOIAICT. Based on the HLM findings, complex interactions between ICT attitudes and academic performance were identified with a tendency towards positive associations between specific attitude components and high achievement levels, particularly in mathematics and science. The research identified the significance of considering student‐, school‐, and country‐level factors for high, above‐average, below‐average, and low achievers to comprehensively understand the role of ICT attitudes in shaping educational outcomes.TakeawaysPolicymakers should design educational policies, subject‐specific strategies and ICT‐related interventions by considering the multifaceted factors influencing student performance across different subjects and achievement quartiles. Particularly at the school and country levels, contextual factors should be evaluated when designing interventions to support low achievers.

Developing Electronic School Report (E-Rapor) for Strengthening the Profile of Pancasila Students

The research aims to develop an electronic school report (e-report/e-rapor) to assess the achievement of competencies profiling Pancasila students. The development of this e-report facilitated the needs of schools that did not have an assessment system for the implementation of the Enhancing Pancasila Student Profiles Project (EP4). The e-report was developed in accordance with the Decision Letter of the Education Standards, Curriculum, and Assessment Agency (BSKAP) number 009. The development of this e-report used the development method approach, commonly known as Research and Development (R&D). To test the feasibility of the developed e-report, it was evaluated based on two aspects: content validity and effectiveness. The respondents in this research were 30 teachers and/or school principals. The data analysis technique for analyzing data from the interactive e-report development process was descriptive to explain the process and the effectiveness for the product. The results of the e-report validity on the accuracy of dimensions and elements were as follows: 54% very accurate, 40% accurate, and 6% fairly accurate. Meanwhile, the accuracy of the assessment was 54% very accurate, 43% accurate, and 3% fairly accurate. The accuracy of other components was 57% very accurate, 37% accurate, and 6% fairly accurate. The e-report effectiveness on ease of use was as follows: 50% very easy, 47% easy, and 3% fairly easy. Then, the e-report attractiveness was 43% very attractive, 47% attractive, and 10% fairly attractive. The conformity of appearance with the EP4 concept was 60% very suitable, 34% suitable, and 6% fairly suitable. As a result, the e-report was recommended in assessing the implementation of EP4.

Predicting Student Performance Using Educational Data Mining: A Review

Educational Data Mining (EDM) strategies facilitate the efficient and in-depth analysis of student data. EDM provides useful insights into comprehending student learning patterns and identifying factors that influence academic success. This review aims to evaluate the efficacy of classification algorithms popularly explored in EDM for predicting student performance and identifying common trends in existing EDM research. The review follows a systematic approach, relevant research articles have been cited following an inclusion and exclusion criteria to ensure the selection of studies that specifically address the use of EDM techniques for predicting student academic achievement. According to the review findings, most researchers have utilized the features of cumulative grade point average, internal and external assessment, and demographic information to predict student performance. The most common techniques in EDM for predicting students’ performance are Naïve Bayes and Decision Trees. The review also focuses on the potential for bias, key examination of challenges, and possible future directions in the field. In the context of student performance prediction, ethical considerations regarding privacy, data handling, and the interpretation of results are also identified

Video-blogs (Vlogs)-based Project: A Meta Analysis

This study aims to analyze the relationship between using video-blogs (vlogs)-based projects on student academic achievement through project-based learning. This study applied a meta-analysis through comprehensive sources, either from the international or the Indonesian index by considering certain criteria. The data sources in this research were obtained from twenty-seven studies that had met the inclusion criteria. The inclusion criteria used are 1) research published in 2020-2024; 2) research must be obtained from the Google Scholar database; ScienceDirect; ERIC; Wiley and IEEE; 3) Publications indexed by SINTA, Scopus, and Web of Science; 4) publications must be related to Vlog-based project; 5) the research has a value (R); (t) or (f) and 6) sample size (N) ≥ 30 students. The study showed that the Vlog-based project significantly influenced students' academic achievement (z = 8,042; p < 0.001; CI 95 % [ 0.526; 0.962]. The effect size in this study is a high effect size category (rRE = 1,024). In this meta-analysis, the data presented is accurate, valid, and representative, free from publication bias. This finding explains that V-logs-based project-based learning positively affects students' academic achievement. This study shows that using Vlogs-based projects has a positive impact on students' academic achievement, and it encourages teachers to enhance students' academic performance. Furthermore, the Vlogs-based project motivates students to engage more actively and creatively with the learning materials.

Influence of different types of interclass ability grouping on students’ academic achievement in mathematics: evidence from the Confucian Asian cluster

ABSTRACT Ability grouping has attracted worldwide attention in relation to various subjects among different countries and regions. However, few studies have focused on the relationship between ability grouping and students’ mathematical academic achievement in the Confucian Asian countries. Thus, in this study, we aimed to determine how different types of interclass ability grouping impact students’ academic achievement in mathematics. We analysed PISA2022 data for 34,968 students from 923 schools in six countries and regions, including Hong Kong, Macau, Taipei, Japan, South Korea, and Singapore, using a hierarchical linear model and propensity score matching. We found that overall, multi-level ability grouping reduced students’ mathematics achievement, and this negative effect was particularly significant among high-ability students, while it promoted the mathematics achievement of low-ability students to some extent.

The Effect of Gamification Implementation on Collaboration Skills, Engagement, and Learning Achievement of Students in Class X SMA XYZ

This study explores the impact of gamification on students' collaboration skills, engagement, and learning achievement in the context of 21st-century education. Utilizing an experimental method, the research was conducted to observe the effects of implementing gamification, particularly through the Quizizz application, in classroom learning. The findings revealed that students in the experimental group, who experienced gamified learning, showed significant improvement in collaboration skills, engagement, and academic achievement compared to the control group. The application of gamification provided an interactive and engaging learning environment that promoted active participation and collaboration among students. The use of gamification as a learning strategy not only enhances students' soft skills but also contributes positively to their overall academic performance. These results suggest that gamification is an effective tool in modern educational settings, providing valuable insights for educators and policymakers to enhance learning outcomes.

A New Method Based on Belief Rule Base with Balanced Accuracy and Interpretability for Student Achievement Prediction

In the field of education, the accurate prediction of students’ future performance is essential for personalized instruction and efficient allocation of resources. Such predictions not only help education professionals develop targeted educational strategies but also identify students’ learning needs at an early stage so that timely interventions and support can be provided. To gain the trust of educational experts and ensure the practical application value of the prediction results, the prediction methods used must be highly interpretable. However, there are two problems with the current belief rule base (BRB) applied to student performance prediction. First, there is a current lack of effective strategies for enhancing the interpretability of the optimization process. Second, BRB models that overemphasize accuracy tend to exhibit characteristics of black-box models. To overcome these challenges, this paper proposes a new method based on BRB with balanced accuracy and interpretability (BRB-Bai) for student achievement prediction. First, an attribute selection method is proposed to filter out important features associated with student performance. Then, expert knowledge credibility is calculated, and four interpretability strategies are proposed to ensure the interpretability of the model and to achieve a balance between interpretability and accuracy on the basis of expert knowledge credibility. The effectiveness of the proposed model is demonstrated by conducting experiments on the student achievement dataset.

Students’ Academic Self-Concept and Their Academic Achievement in Mathematics in Bekwarra Local Government Area of Cross River State

The study looked into the relationship between senior secondary two (SS2) students' academic self-concept and their mathematics achievement in Bekwarra Local Government Area of Cross River State. This study was directed by three research questions and three matching null hypotheses. A sample of 318 senior secondary two (SS2) students offering Mathematics which comprised two hundred (200) female and one hundred and eighteen (118) male SS 2 students drawn from six (6) secondary schools from a population of 1544 SS2 students offering Mathematics in Bekwarra Local Government Area, Cross River State using Taro Yamane's sample size formula and A simple random selection method was employed, namely by balloting. Two instruments were used for data collection titled; Academic Self-Concept Scale (ASCS) and Mathematics Achievement Test (MAT) used for data collection. Cronbach Alpha (∝) method was used to determine the internal consistency of the Academic Self-Concept Scale (ASCS). The reliability coefficient of the Academic Self-Concept Scale (ASCS) was 0.81. Kuder-Richardson 20 formula method was used to determine the reliability coefficients for the Mathematics Achievement Test (MAT). The reliability coefficients obtained was 0.91 for BAT. The research questions and all null hypotheses were answered and tested using simple linear regression at 0.05 level of significant. Results of the study revealed that: % variation in academic achievement of male students in mathematics was due to their self-concept, and that the academic achievement of male students in mathematics is not significantly correlated with their self-concept. On the other hand, 17% variation in the academic achievement of female students in mathematics was due to their self-concept, and the academic achievement of female students in mathematics is significantly correlated with their self-concept. Finally, students’ self-concept accounted for 23% variation in their academic achievement in Mathematics, and that students’ self-concept significantly relate with their academic Achievement in Mathematics in Bekwarra Local Government Area. The researcher recommended among other things, that parents should help their children have a positive self-concept in mathematics from an early age.

Pengaruh Perubahan Kurikulum Pendidikan Terhadap Motivasi Belajar Siswa

This research aims to investigate the impact of curriculum changes on students' learning motivation at the secondary education level. The curriculum is a key element in the education system that can influence the learning process and student achievement. The data collection technique uses qualitative with a literature study approach. The data source used is a literature study, the data analysis technique used is a comparative study of the literature and identifying the impacts of main curriculum changes on student learning motivation, both positive and negative impacts. The research results show that curriculum changes can have varying impacts on student learning motivation. Positive impacts can occur when curriculum changes include refreshing learning materials, a more interactive teaching approach, clear educational goals, fair evaluation, and challenges that are appropriate to students' ability levels.

Influence of Social Media Engagements on the Academic Achievement of Students in Tertiary Institutions

This study investigates the influence of social media engagements on academic achievement among tertiary institution students. The research methodology involved an online survey using Google Forms, distributed randomly through social media and email. The instrument consisted of two sections: basic information of the respondents and questions related to the use of social media in school and their influence on performance. The data collected was analyzed using narrative analysis and a deductive approach to identify themes. The findings suggest that social media has both positive and negative impacts on academic achievements, and that it is important to understand and manage social media use for optimal academic performance. The study was limited to tertiary institution students, and the validity and reliability of the instrument were ensured through pretesting and feedback from undergraduate and graduate students.

The impact of mindfulness on academic achievement of students with the mediating role of adaptability: a structural equation modeling approach

IntroductionExamining the factors influencing students’ academic achievement can lead to improved educational planning and enhanced teaching and learning outcomes. The aim of this study was to investigate the impact of mindfulness on academic achievement with the mediating role of adaptability among students at Jiroft University of Medical Sciences in southern Iran in 2024.MethodsThis descriptive-analytical cross-sectional study was conducted on 290 students from various fields at Jiroft University of Medical Sciences in southern Iran from January to April 2024. To select these 290 individuals, a stratified sampling proportional to size was first carried out based on the year of university entry and field of study. After the sample size was determined for each entry year and field of study, students were randomly selected using their student numbers and a random number table. The data collection instruments were the standard mindfulness, academic achievement, and adaptability questionnaires. Descriptive tests and structural equation modeling using the Partial Least Squares (PLS) method were employed for data analysis, utilizing Smart PLS3 and SPSS26 software.ResultsThe findings indicate that students’ mindfulness positively affects their academic achievement (p < 0.001, β = 0.59). Additionally, mindfulness positively influences students’ adaptability (p < 0.001, β = 0.65). The results also show adaptability positively impacts students’ academic achievement (p = 0.001, β = 0.57). Finally, students’ mindfulness has a significant positive effect on their academic achievement through the mediating role of adaptability (p < 0.001).DiscussionAccording to the results, a favorable state of mindfulness and adaptability among students can improve academic achievement. Therefore, it is recommended that university administrators facilitate the enhancement of students’ mindfulness and adaptability by organizing relevant courses and workshops. This approach can contribute to their academic progress.

The Impact Of Video-Based Blended Learning On Learning Achievement Of Students With Special Needs

The Impact Of Video-Based Blended Learning On Learning Achievement Of Students With Special Needs

A digital, inquiry-based lesson on the rain shadow effect for middle school

This article introduces a middle-school level, NGSS-aligned, inquiry-based approach to teaching weather and climate concepts in grades six through eight using free online resources including Google Earth. Inquiry-based learning has been shown to improve student achievement, but Earth’s climate systems are complex and macroscopic, making inquiry-based teaching difficult. This tends to result in a teacher-centric approach to teaching climate in middle school, where lectures and authoritative videos predominate. Unfortunately, in this educational setting, many people develop climate misconceptions and tend to view climate change as a minor issue or a matter of personal belief. This lesson offers an alternative approach in which technology provides a scaffold to inquiry-based learning. After an unusual weather phenomenon such as a snowman in the desert is introduced, students use Google Earth to explore the contrasting forest and desert found on opposite sides of some mountain ranges. With Nullschool Earth, students explore daily historical wind data to model prevailing winds and develop an understanding of how patterns in the motion of air masses create the rain shadow effect. This lesson helps students begin to model the complex Earth systems that create climate and to understand the distinction between weather and climate.

Teachers’ perspectives on determinants of educational (under)achievement of Cigano/Roma students in Portugal

ABSTRACT The presence of Cigano/Roma students in secondary education in Portugal is still a rarity, considering that less than 3% of young Ciganos/Roma attend secondary education. This article aims to highlight the need for a comprehensive understanding of the perceptions of school teachers and principals on educational (under)achievement, absenteeism and school integration of Cigano students. To this end, we analyse data from an online questionnaire survey of a sample of 819 teachers, school principals and deputy principals and other senior management staff in schools of the Metropolitan Areas. These respondents express persistent representations and stereotypes in relation to the educational trajectories of Cigano students, especially in assigning prime causes of school failure to factors relating to the students’ family or own intrinsic issues, rarely indicating institutional factors or those linked to their teaching practices. Although this is a study centred on Portugal, the lessons drawn from it can point to new directions for other contexts, as the educational achievement of Cigano students represents an opportunity and an invitation to transform and upgrade school institutions as well as the educational system as a whole, which should be more innovative, reflexive and increasingly open to the community.

Effect of Science Teachers’ Pedagogical Content Knowledge on Student Achievement: Evidence From Both Text- and Video-Based Pedagogical Content Knowledge Tests

Effect of Science Teachers’ Pedagogical Content Knowledge on Student Achievement: Evidence From Both Text- and Video-Based Pedagogical Content Knowledge Tests

Mathematics Learning Style and Achievement of Secondary Level Students

Mathematics Learning Style and Achievement of Secondary Level Students

Проблеми вивчення математики в межах реалізації концепції Нової Української Школи

In this publication, we pay attention to the problems of learning mathematics in the context of the implementation of the concept of the New Ukrainian School. During preparation for publication, the following work was done. Conversations with mathematics teachers and their questionnaires were conducted. A survey of students was conducted. Sources of information in terms of informing teachers about the implementation of the concept of the New Ukrainian School and methods of teaching mathematics at the National University of Ukraine were analyzed. A comparative analysis of educational achievements of seventh-grade students who studied in experimental and control classes was made. The tasks of the final exams of high school students abroad and our graduates were analyzed.

Burnout among the non-government secondary school teachers in Bangladesh: Prevalence, causes and effects

Nowadays, psychological burnout is prevalent in all professions. The purpose of this study is to investigate the prevalence, causes, and consequences of burnout among non-government school teachers in Panchagarh. This study used an explanatory sequential mixed approach. A stratified random selection methodology was employed to pick 25 schools, and 242 teachers were chosen using a simple random sample procedure. Finally, a purposive sample technique was used to select 15 teachers. Data was acquired using a standardized questionnaire and in-depth interviews. The Maslach Burnout Inventory-Educator Survey (MBI-ES) was used to assess the prevalence of burnout. Data was analyzed by descriptive statistics and thematic analyses. The study found a high prevalence of burnout in non-government school teachers in Panchagarh, with 48.35% experiencing high emotional exhaustion, 51.24% high depersonalization, and 45.04% low personal accomplishment. Also, the study found that low salary are the most contributing factor to burnout. Furthermore, 78.6% of respondents agreed that teacher burnout has negative effects on student academic achievement. Finally, the presence of teacher burnout in education is a challenging issue, as it negatively affects every aspect of the learning and teaching process. This study has implications for policymakers to develop plans to reduce teacher burnout and enhance teachers’ overall well-being.

The role of engagement strategies and path-dependency in online learning

ABSTRACT Despite its importance, research on the dynamic nature of student engagement and its relationship with academic success is limited. In this study, we investigate the consistency of student engagement and its relationship to academic achievement. We conduct an analysis of digital trace data on students’ interaction with webinars. Specifically, we examine the attendance records of 426 high school students participating in the online literature course designed to prepare them for university enrolment. We demonstrate engagement’s path dependency as well as categorise different types of engagement strategies. We found that stable strategies do not lead to more engagement, however adaptive strategies do lead to greater engagement. Importantly, higher levels of engagement lead to better student achievement. These results demonstrating the strategic path-dependent nature of engagement, as well as give insight to the importance of engagement in online learning when considering students’ learning paths.