Student Achievement Data Research Articles

Implementation of the Naive Bayes Method in Looker Studio for data on the achievement of Great IDN in IDN Akhwat School

The IDN Hebat program is an important tool for schools to track and analyze student achievement data. However, with the targeted activities in the IDN program, challenges arise in managing and measuring achievement data efficiently. The research aims to develop a Web Cloud-based data management system for IDN Hisbat achievements at IDN Akhwat School by utilizing Google Looker Studio and the Naive Bayes Algorithm. The data source used in this study is by applying a classification dataset obtained from student achievement information data in the Great IDN Program. The results of this analysis show that the highest accuracy of teaching achievement fell on the status of exceeding the target with a percentage of 89%, and the highest class that placed the status above the target was class 9A with an average percentage of 35%. In addition, the results from this analysis can help coordinators and schools in planning more effective and strategic programs in the future. Overall, this study provides important benefits in improving the quality of teaching and student coaching, as well as supporting data-driven decision-making. This study is expected to enhance the efficiency, accuracy, and effectiveness of managing student achievement, while also supporting the attainment of optimal educational goals for each student to achieve extraordinary results.

Academic Culture: Its Meaning, Measure and Contribution to Student Learning

This study had two objectives. One objective was to assess the psychometric properties of a survey instrument measuring a new latent variable, Academic Culture (AC), combining three observed variables academic press, disciplinary climate and teachers’ uses of instructional time. The second objective was to replicate the results of an earlier study identifying AC as a significant mediator of school leadership’s influence on student learning. Data for the study were provided from 2068 teachers located in 49 schools in 14 Texas school districts, as well as student achievement data from the State of Texas Assessments of Academic Readiness (STAAR) and student socioeconomic (SES) data available from school websites. Second order Confirmatory Factor Analysis (CFA) and Many-Facet Rasch (MFR) models were used to examine the survey instrument’s construct validity and its measurement invariance. Structural Equation Modeling was used to identify the extent to which AC mediated the effects of school leadership on student achievement controlling for student SES. Rasch analysis and CFA confirmed the measurement invariance and several forms of validity of the survey instrument. Replicating the results of an earlier study, results of structural equation modeling demonstrated significant effects of AC on student achievement and identified AC as a significant mediator of school leadership effects on student achievement. The study contributes to the quality of instruments available to school leaders for their school improvement work and to researchers inquiring about the most promising variables mediating the indirect effects of school leadership on student success.

Application of Data Mining to Measure the Effectiveness of the Islamic Boarding School’s Independent Curriculum based on Learning Achievement using the Clustering Method

The evolution of educational curricula has been a focal point for institutions aiming to enhance learning outcomes and adapt to students' diverse needs. In this context, Islamic boarding schools, or pesantren, are increasingly exploring independent curricula to better serve their students. This research aims to measure the effectiveness of the independent curriculum at the Al Binaa Bekasi Islamic Boarding School, especially regarding learning achievements in general and Islamic subjects. The method used is data mining clustering to analyze student learning achievement data. In the initial stage, the data collected includes student scores in general subjects (such as Islamic Religious Education, Pancasila Education, Indonesian, English, Mathematics, Science, Social Sciences, Arts, Sports, ICT, Sundanese) and Syar'i (Quran tajwid, hadith, aqidah, fiqh, Hadassah, short). Then, data mining clustering techniques are used to group students based on their achievements in the two subjects. The results of the analysis show that the independent curriculum at Al Binaa Islamic Boarding School effectively increases student learning achievement. The groups formed from data mining clustering show patterns consistent with curriculum objectives, where students in the same group have similar levels of achievement in general and star subjects. This indicates that the independent curriculum has succeeded in leveling student learning achievement. This research contributes to understanding the effectiveness of the independent curriculum in Islamic boarding schools. It can be a basis for further development in designing Islamic boarding school education curricula that are more adaptive and responsive to student needs.

A novel student achievement prediction model based on bagging‐CART machine learning algorithm

AbstractThe learning effect of students is crucial for assessing teaching quality, thus playing a significant role in teaching management. Predicting student achievement is a major challenge in understanding the learning effect of students. Currently, many studies have utilized machine learning methods such as the decision tree algorithms C4.5, ID3, CART, J48, random forest, and others. However, few studies have explored the use of the Bagging algorithm in this field. Therefore, this study proposes a classification prediction method for student achievement based on the Bagging‐CART algorithm. Initially, the student achievement data is preprocessed, and the Apriori method is applied to mine the strongly associated dataset. The optimal hyper‐parameters are determined through grid search to train and predict the Bagging‐CART algorithm. Furthermore, the CART, J48, and Bagging‐CART algorithms are trained, and their evaluation indicators are compared using a confusion matrix. The results indicate that the Bagging‐CART model achieves an accuracy of 98.16%, a recall rate of 91.80%, a precision of 90.83%, and an F1 score of 94.87%. In comparison, the accuracy, precision, and F1 scores are higher than those obtained with CART and J48. Although the recall rate is slightly lower than that of CART by 0.26%, it is 0.52% higher than that of J48. Consequently, this method demonstrates strong predictive capabilities and introduces a new reference method for evaluating students' learning effect.

Pemanfaatan Sistem Informasi Pengelolaan Data Prestasi Siswa Bagi Sekolah Menengah Atas

SMAN 1 Waru is experiencing rapid development, particularly in this digital era, with its students achieving notable success in sports, science, and arts. However, despite these achievements, the management of such accomplishments remains inadequate, rely-ing on manual systems. Consequently, the collection and recording of student achieve-ment data at SMAN 1 Waru are disorganized and often not up to date. Recognizing this issue, the community service team has developed an information system to manage stu-dent achievement data. This system includes comprehensive training to facilitate the ef-ficient processing of student achievements for both internal and external purposes, such as accreditation. The training session took place on March 28, 2024, at SMAN 1 Waru's computer laboratory and was attended by 35 students, website administrators, and three teachers. The training employed various methods, including lectures, practical exercises, and discussions. All participants demonstrated a clear understanding of the application's usage, as evidenced by their improved pre-test and post-test scores. Statistical analysis using the t-test confirmed the significance of this improvement, indicating that the train-ing effectively enhanced participants' understanding of using the student achievement website. Furthermore, the success of the training is reflected in the records of achieve-ment data inputted by the participants. Keywords: achievement data; information system; website.

The potential of following-up international large-scale assessment studies: using PISA 2018 to develop a comprehensive model of effective teaching

ABSTRACT The paper investigates the potential of using international large-scale assessment studies for conducting follow-up studies testing models of educational effectiveness. The impact of teacher factors coming from the dynamic model of educational effectiveness and the dialogic education theory on student literacy achievement is examined. Modern Greek teachers from secondary schools that participated in PISA 2018 (Accessed on https://www.oecd.org/pisa/data/pisa2018technicalreport/) in Cyprus were recruited. Two Grade 11 classes per teacher were selected, giving 392 students in total. Observation data from Greek lessons and student literacy achievement data were collected. Two multilevel regression analyses were conducted: one with the whole student sample and one with only students from whom PISA prior achievement measure was identified. When prior achievement (i.e., PISA measure) was considered, additional and larger effects of factors on student final achievement were detected. Both analyses reveal that when factors from both frameworks were considered, larger variance in student achievement was explained.

Efforts to Increase Mathematics Learning Activities and Achievements Through the Application of Game Methods in Class VI of SD Negeri 327 Sinunukan, Sinunukan District

This research was carried out for 2 months using the game method in an effort to increase activity and mathematics learning performance for class VI students at SDN 327 Sinunukan, Sinunukan. The research was carried out in two cycles. The data collection technique is through observation sheets at each meeting by observers to see data about learning activities, while data about learning outcomes is obtained through daily test scores and student mathematics learning achievements in cycles 1 and 2. The results obtained from PTK through the game method model, show The increase in student activity results, especially in activities for preparing places, materials and tools, was 55.56%, activities for expressing ideas were 66.67%, activities for reading game rules and books were 74.04%. Based on student mathematics achievement data, the class average score in cycle I was 69.62, increasing to 73.51 in cycle II. The percentage of students who achieved the completion standard also increased in cycle I by 88.88% (Good Category), increasing to 100% (Special Category) in cycle II.

Construction of innovation and entrepreneurship teaching capacity in colleges and universities and its optimization path based on differential equation modeling

Abstract The rapid development of information and artificial intelligence technology has brought new opportunities for innovation and transformation in higher education, leading to innovative applications of data-driven-assisted teaching decisions. This paper analyzes the equilibrium point in predicting students’ performance using nonlinear differential equations, solves the expected value of students’ performance, and constructs a prediction model for students’ innovation and entrepreneurship performance. Student achievement data and characteristics are preprocessed to improve the accuracy of the prediction model. Based on Pearson’s coefficient, students’ innovation and entrepreneurship achievement are significantly correlated with teaching ability (P<0.05). The results show that, after implementing innovation and entrepreneurship teaching based on this prediction model, the predicted achievement of students in the intervention group is significantly higher than that of students in the control group (P<0.05). In the actual achievement test, the average total grade for the innovative entrepreneurship course of students in the intervention group was about 4.68-8.78 points higher than that of students in the control group. The achievement prediction model developed in this paper, along with the proposed optimization path for building innovation and entrepreneurship teaching capacity, offers significant guidance for the teaching research department in implementing effective teaching interventions and in the development of innovation and entrepreneurship education.

Modern Education: Advanced Prediction Techniques for Student Achievement Data

Modern Education: Advanced Prediction Techniques for Student Achievement Data

Analysis and Visualization of High School Student Achievement Data Using Decision Tree and Cross-Validation in Rapidminer

The vision, mission, and work indicators of high school education are all geared toward producing graduates of excellent quality. Students’ academic performance in the first and second grades indicates their eventual excellence as graduates. However, it is not feasible to ensure that students in the third year have good results only by comparing their academic achievements during the first and second grades. School leaders and policymakers can benefit from data analysis and visualization by gaining insight into recurring patterns and emerging trends in their stored data. Leaders and management at schools can benefit significantly from Rapidminer’s decision tree and cross-validation data analysis methods when trying to figure out what to do about students performing well or poorly academically.

Stream Clustering for Selection Recommendations Using K-Means Algorithm: A Case Study in the Informatics Study Program

Concentration Stream for a major is a process where students focus their attention on a specific discipline according to their interests. The purpose of specialization is to better orient students to the knowledge they have gained from previous courses, so that they can have a clearer focus. In the Informatics Engineering study program at Bina Darma University there are 3 concentrations, namely: Software Engineering, Network Engineering, Data Analytics. The absence of a system that helps students choose a major concentration makes it quite difficult for students to know their academic abilities. By looking at these problems, this research aims to build a Recommendation system for selecting Mk-Stream Concentrations using the K-Means grouping approach using the K-Means cluster method. Where student academic achievement data from the first semester to the 4th semester is used as a variable in the calculations.

Monitoring and Evaluation to Improve School Quality

Good school quality is created from the results of evaluation and monitoring, so the school must carry out an evaluation in creating a better goal, this is done so that the learning process can run well and correctly. This literature review aims to analyze the implementation of monitoring and evaluation of school quality. The results of monev consist of data about various information such as the state of curriculum implementation, teacher performance, student performance, and so on. This data is used as material for improving and refining the program so that it is hoped that student learning outcomes will improve. Student achievement and other data are used as a basis for program improvement, with the goal of increasing the anticipated level of educational quality

Improving Collaborative Ability and Learning Achievement in Mathematics Through the Project-Based Learning (PjBL) Model Using Diagram Image Media for Class VI Students of SD Negeri Purwoharjo Academic Year 2021/2022

This research aims to improve students' collaboration skills and learning achievement in class VI mathematics, SD Negeri Purwoharjo for the 2021/2022 academic year through the application of the project-based learning (PjBL) learning model. This type of research is Classroom Action Research which was conducted over two cycles with each cycle consisting of 2 meetings. The subjects in this study were fifth-grade students at SD Negeri Purwoharjo, which consisted of 5 students. Data collection techniques in this study through observation. The study results showed an increase in students' collaboration skills, where in cycle I, an average score was obtained of 3.18 with a percentage of 79.44% and in cycle II an average value was obtained of 3.47 with a percentage of 86.81%. While the results of student learning achievement data also showed an increase, this is evident in the first cycle of students who fulfilled the Minimum Completeness Criteria obtained an average value of 60%, and in the second cycle students who fulfilled the Minimum Completeness Criteria obtained an average value of 100%. Therefore, the application of the project-based learning (PjBL) learning model can increase the collaboration abilities and learning achievements of students in mathematics class VI at SD Negeri Purwoharjo for the 2021/2022 academic year.

Data‐Driven Decision‐Making Practice in Higher Education Institutions in Ethiopia

ABSTRACTThis study investigates the practice of data‐driven decision‐making in higher education institutions in Ethiopia. It presents the results of a mixed‐methods investigation that was conducted at two public universities in Ethiopia. Data was collected via a survey questionnaire from 91 faculty members, nine ICT experts, four higher education registrar experts, and 194 graduating undergraduate students. The study also involved interviews with two directors from the university's education program relevance and enhancement office and four senior officers from library departments. The findings revealed that the majority of the instructors used manual data analysis and basic software, such as MS Excel, to analyze student performance, achievement, and assessment data. Institutions use many disconnected in‐house systems for different activities without intelligent tools or data warehouses to support data analytics. The results indicate deficiency in activities that promote data analytics and data‐driven decision‐making, such as capacity‐building training and leadership support within institutions.

Problem-Based Learning Model to Improve English Learning Achievement

Examining the language components, textual organization, and social function of statements that provide services and answers based on usage context is one of the most challenging assignments for students. It is necessary to find a remedy because student achievement data from recent years indicates that they are quite poor when it comes to studying this content. Thus, 32 students from class XI MA As'diyah Putri Sengkang served as subjects for a classroom action study that was conducted. English learning achievement is the subject of the study. Determining and assessing the PBL model's efficacy in raising English learning outcomes is the goal of this study. Utilizing learning accomplishment exams, data was gathered and subjected to both qualitative and descriptive analysis. If this action research attains a minimum average score of 75 and a minimum of 82% for classical learning completeness, it is considered effective. According to the study findings, cycle I had an average score of 72.21 and 75.64% for classical completeness. In cycle II, on the other hand, classical completeness reached 92.48%, and the average score was 74.32. In the second semester of the 2022-2023 academic year, the class XI MA As'adiyah Putri Sengkang students can attain better learning outcomes by implementing the PBL learning model in two cycles.

APPLICATION OF THE SIMPLE ADDITIVE WEIGHTING METHOD IN DECISION SUPPORT SYSTEMS AT ISLAMIC BOARDING SCHOOL OF SYAICHONA MOH. CHOLIL GAMBUT

At Syaichona Moh. Cholil Islamic Boarding School Gambut is one of the events where students will be selected and have the right to be made outstanding students, usually called student stars. To simplify, it is necessary to create a decision support system (DSS). In the SPK selection of outstanding students, the Simple Additive Weighting (SAW) method was used. This method can determine the weight value for each criterion, followed by a ranking process to select the best alternative from all the alternatives. The student achievement data used is data from the test score of class 4 students at the MI level graduating in 2020. In the DSS test using the SAW method, it can be concluded that the highest score with a value of 0.90 is the value recommended by the user to determine outstanding students.

Identifying current practices in modeling multi-year student achievement data: a systematic methodological review

ABSTRACT Assessing student achievement over multiple years is complicated by students’ memberships in shifting upper-level nesting structures. These structures are manifested in (1) annual matriculation to different classrooms and (2) mobility between schools. Failure to model these shifting upper-level nesting structures may bias the inferences researchers make about predictors of student achievement. The current study is a systematic methodological review of 59 multi-year elementary education studies that examine student achievement growth. The review focuses on studies from the previous decade with the hope of better understanding current practices in modeling student growth in multiyear educational research, the extent to which researchers account for shifting upper-level nesting structures, and the percent of variability attributed to different levels. Findings indicate that approaches to address shifting upper-level nesting structures are not consistently applied. Further, many researchers fail to recognize shifting upper-level nesting structures as a potential threat to the validity of their findings. Finally, evidence is presented that suggests even when schools are included in a model additional variability is attributed to classrooms beyond what is attributed to schools. Accordingly, it may be necessary to include multiple classroom memberships, where such data exist, in models that seek to understand contributors to student achievement.

PERANCANGAN APLIKASI KOMPETENSI DAN PRESTASI MAHASISWA UNIVERSITAS ISLAM KALIMANTAN MUHAMMAD ARSYAD AL BANJARI

Student achievements are a form of outcomes achieved during their academic activities at a higher education institution. Achievements are one of the essential factors in assessing the quality of an educational institution. One example is the accreditation evaluation of a study program or the assessment of an institution based on student achievements. Currently, the management of student achievement data is still done manually, where each student's academic and non-academic achievements are reported to the Student Affairs department for data recording. Considering the importance of student achievement data, there is a need for a system to facilitate the management of this data by the Student Affairs department. In this system, students who achieve success can directly input their data into the system. When the data is needed, the operator can easily present the required student achievement data. The system is built using PHP programming language and MySQL database, and it has proven to provide convenience to the Student Affairs department in managing student achievement data. With this system in place, study programs are also assisted in accessing student achievement data for accreditation assessment purposes

Penerapan Model Make A Match Berbantuan Media ICT Pada Pembelajaran Tematik Untuk Meningkatkan Prestasi Belajar Siswa SD

This study aims to improve the learning achievement of fourth grade students at SDN 133 Seluma in thematic learning by applying the Make a Match type cooperative model assisted by ICT media. This type of research was Classroom Action Research (CAR). The subjects in this study were teachers and fourth grade students (17 boys and 16 girls) at SDN 133 Seluma. Student achievement data in this study used the average formula and the percentage of learning completeness. The results of student achievement in thematic learning cycle I for SBdP subjects the average grade of 69.24 with classical learning completeness 60.60% experienced a very good increase in cycle II with an average value of 82.12 and classical learning completeness 87 ,87%. Meanwhile, in the first cycle of Indonesian language subjects with an average score of 63.63 and classical learning completeness 57.57%, there was an increase in the second cycle with an average value of 80.39 and 81.81% learning completeness. Thus, it can be concluded that the application of the Make a Match cooperative learning model assisted by ICT media can improve student achievement in class IV SDN 133 Seluma in thematic learning.

Exploring An Approach Towards Measuring Student Learning Outcomes: A Case Study For A Pre-Service Teacher Education Programme at A University In Vietnam

Higher education in South-East Asia as elsewhere in the world has been under transformations as it aims to meet increasing demands for quality workforce to fuel the economic growth and global integration. Higher education institutions are striving for quality of student learning and measures have been taken, be they quality assurance initiatives or responsible educational practices, to ultimately demonstrate their accountability towards their educational outputs – the achievement of their student learning outcomes. This paper presents an approach to measuring the attainment of student learning outcomes for a pre-service teacher education programme at a university in Vietnam. It shows attempts being made to an assessment plan to determine whether the intended learning outcomes have been achieved and to what extent. The process involves establishing a set of performance indicators (PIs) which well correspond to the set learning outcomes and identifying various types of direct student achievement data being collected and benchmarked against the set targets The findings allow some generalisations to be drawn on the overall performance of student learning with certain aspects being reported to outperform their counterparts in the programme, especially in the outcomes towards lifelong learning, personal and professional development. The paper also suggests the use of indirect evidence collected via surveys to stakeholders to allow a more comprehensive picture of the performance of student learning from which better-informed decisions could be made on changes in curricular design and delivery.