Midterm Scores Research Articles

The Relationship Between Well-Being and Korean Language Learning Achievement: A Case Study of Chinese University Students

Objective: This study aims to explore the relationship between well-being and Korean language learning achievement among Chinese university students. In recent years, research on positive psychology, especially the impact of well-being on student learning outcomes, has gained increasing attention. While previous studies have examined the effects of emotions, motivation, and other factors on academic achievement, the role of well-being in the learning process has not been thoroughly explored. Specifically, there is a lack of empirical research on the impact of well-being on Korean language learning achievement among Chinese university students. Therefore, this study seeks to fill this research gap by systematically analyzing how well-being affects students’ Korean learning achievement and exploring the specific impact of different well-being dimensions (such as positive emotions, engagement, relationships, meaning, and accomplishment) on academic achievement. Methodology: This study adopts a quantitative research design, with data collected from students enrolled in Korean language courses at Chinese universities. The study participants are university students learning Korean, and their well-being and academic achievement are measured to analyze the relationship between the two. Well-being is measured using the PERMA-Profiler scale, which assesses five dimensions of well-being: positive emotions, engagement, relationships, meaning, and accomplishment. Academic achievement is evaluated based on students' final exam scores, mid-term exam scores, regular grades, and speaking proficiency. Additionally, correlation analysis and regression analysis are used to test the relationship between well-being and academic achievement and determine its significance. Findings: The results of the study show a significant positive correlation between well-being and Korean language learning achievement. Specifically, several dimensions of well-being have a significant impact on academic achievement, with positive emotions and relationships having the most pronounced predictive effect. Students with higher positive emotions and better interpersonal relationships generally show more active engagement in their Korean studies and achieve better academic outcomes. Other dimensions of well-being, such as engagement and accomplishment, also have a positive impact on academic achievement, although the effect is somewhat weaker compared to positive emotions and relationships. Additionally, there is a strong interrelationship between the dimensions of well-being, with students performing well in one dimension typically showing higher levels of well-being in other areas. This suggests that enhancing students' overall well-being may positively influence their academic achievement. Significance: This study provides new insights into the research on well-being, particularly in the field of foreign language learning. First, it validates the positive relationship between well-being and academic achievement, further proving the influence of positive psychology on academic achievement. Especially in the context of Korean language learning, well-being not only affects students' learning motivation and strategies but also directly influences their academic success. Therefore, educators should place greater emphasis on students' psychological health and well-being, implementing targeted interventions to enhance their well-being and, in turn, improve their learning outcomes. Secondly, the findings highlight the varying impact of different well-being dimensions on academic achievement, offering practical recommendations for future educational practice. For example, educators can organize activities that enhance students' positive emotions or use group collaboration and social activities to improve students' sense of relationships, which in turn can enhance learning achievement. This study also provides valuable references for future cross-cultural comparative research on the relationship between well-being and academic achievement. Finally, with the rise of globalization, foreign language learning is becoming increasingly important. For students learning Korean, good academic achievement is not only related to academic development but also closely linked to future career prospects. Therefore, enhancing students’ well-being, particularly through increasing positive emotions and fostering good interpersonal relationships, may be an effective way to improve foreign language learning achievement.

Effect of unproctored versus proctored examinations on student performance and long-term retention of knowledge.

To compare unproctored and proctored online exams among chiropractic students. Pre-existing data of 234 students across 4 consecutive endocrinology classes were analyzed for this study. The course was comprised of 3 lectures (50 minutes per lecture) each week. Student performance was evaluated by midterm exam and summative exam (S1). The students from 3 classes were asked to take a voluntary second summative exam (S2) approximately 7 months after the S1. Since this study was partially conducted during the COVID pandemic, some classes took the midterm and the S1 proctored in the classroom while others took them unproctored from a remote location. The mean midterm exam (p < .001) and S1 scores (p = .01) for the unproctored group (93.6 ± 7.0 and 88.8 ± 8.2) were significantly higher than the proctored group (88.1 ± 8.2 and 83.9 ± 11.2). The mean time taken by students was much greater for the unproctored exams than for the proctored exams (midterm: 40.7 ± 10.2 versus 16.7 ± 7.0, p < .001; S1: 47.0 ± 8.7 versus 21.5 ± 9.0, p < .001). By contrast, the mean unproctored S2 scores were lower than the proctored group (60.2 ± 14.7 versus 88.1 ± 8.2, p < .001). A linear regression test showed that the final exam was a statistically significant predictor of the recall exam (p < .01, R2 = 28.3%). The findings suggest that student performance is significantly altered by test format.

Pengaruh Penggunaan Media Video Pembelajaran terhadap Hasil Belajar Siswa pada Mata Pelajaran PAI di SMPN 2 Ampek Angkek

This investigation was motivated by the low average academic achievement of Islamic Religious Education students at SMPN 2 Ampek Angkek. In the 2022/2023 academic year, the low midterm exam scores of students in class IX 1 of SMPN 2 Ampek Angkek provided empirical support for the statement. A total of 25 student responses were received for the exam; however, only five students achieved the minimum score of 75 required to complete SMPN 2 Ampek Angkek. A prospective approach to improving Islamic Religious Education learning outcomes at SMPN 2 Ampek Angkek is to incorporate video media into the established curriculum. This study aims to determine whether the application of video media affects the academic achievement of Islamic Education students at SMPN 2 Ampek Angkek. The purpose of this study is to determine whether or not there is an effect of the application of video media at SMPN 2 Ampek Angkek on PAI learning outcomes. The purpose of this study is to determine whether the adoption of video media has an impact on the academic achievement of PAI students at SMPN 2 Ampek Angkek. This research was categorised as a pseudo-experiment and used posttest control group design as the only research methodology. The student participants in this study were members of grade IX. In this investigation, purposive sampling, a type of non-probability sampling, was used. The experimental class in this study consisted of students of grade IX 3, while the control class consisted of students of grade IX 1. Data for this investigation was collected through assessment of students' progress in Islamic Religious Education. The Sig α value was ascertained to be 0.00 ± 0.05, based on the results of hypothesis testing conducted using SPSS software. Thus, it can be concluded that the utilisation of video media is able to influence the academic achievement of Islamic Religious Education students attending SMPN 2 Ampek Angkek.

Study on Quantitative Formative Assessment of the Mathematical Analysis Course

This paper first analyzed the shortcomings of the summative final exam methods which focuses only on final exams. Then, we showed the specific implementation of the quantitative formative assessment which includes objective results and subjective scores. Objective results include the traditional written chapter test score, online mid-term and final exam scores, whereas the subjective scores include class attendance, homework, class performance, class notes, online learning on the “Jreenity” platform, chapter mind maps, the completion of ideological and political cases, and the introduction of mathematicians. Finally, the reforming achievement of the formative assessment was summarized.

Managing Classroom Using Real-life Experience: The concept of Freedom in Learning Implementation

Teaching-learning activities involve various elements, such as classroom management. Learning approach is a way for teachers to manage the class because it assists them in learning activity. This study was qualitative study using data obtained from documentation and observation. Score average and percentage were employed as research technique to determine the correlation between learning approach in classroom management and learning success. This study aims to find out how real-life experience can be used as learning approach in managing art class. Accordingly, the results indicated that implementing a real-life experience-based approach in managing art classes showed a positive but insignificant effect. It seen from good category (an average of 3.00-3.75) and midterm scores that show 52.9% scored higher than 65 (passing mark), while 47.1% scored less than 65. It indicates although the approach had positive influence, it was not significant in improving students’ results.

Prediction of Student’s Academic Performance through Data Mining Approach

The universities and institutes produce a large amount of student data that can be used in a disciplinary way and useful information can be extracted by using an automated approach. Educational Data Mining (EDM) is an emerging discipline used in the educational environment to deal with big student data and extract useful information. The data mining of students’ data can help the At-risk students as well as the stakeholders by the early warning. This study aims to predict the performance of the students based on student-related data to increase the overall performance. In existing studies, insufficient attributes and complexity of network models is a problem. The student’s current records and grades need to be analyzed. In this approach, the Levenberg Marquardt Algorithm (MLA) deep learning algorithm is used. The data consists of the class test, attendance, assignment and midterm scores. The neural network model consists of four input variables, three hidden and one output layer. The performance of the deep neural network is evaluated by accuracy, precision, recall and F1 score. The proposed model gained a higher accuracy of 88.6% than existing studies. The study successfully predicts the student's final grades using current academic records. This research will be beneficial to the students, educators and educational authorities as a whole.

Prediction of Student’s Academic Performance through Data Mining Approach

The universities and institutes produce a large amount of student data that can be used in a disciplinary way and useful information can be extracted by using an automated approach. Educational Data Mining (EDM) is an emerging discipline used in the educational environment to deal with big student data and extract useful information. The data mining of students’ data can help the At-risk students as well as the stakeholders by the early warning. This study aims to predict the performance of the students based on student-related data to increase the overall performance. In existing studies, insufficient attributes and complexity of network models is a problem. The student’s current records and grades need to be analyzed. In this approach, the Levenberg Marquardt Algorithm (MLA) deep learning algorithm is used. The data consists of the class test, attendance, assignment and midterm scores. The neural network model consists of four input variables, three hidden and one output layer. The performance of the deep neural network is evaluated by accuracy, precision, recall and F1 score. The proposed model gained a higher accuracy of 88.6% than existing studies. The study successfully predicts the student's final grades using current academic records. This research will be beneficial to the students, educators and educational authorities as a whole.

Correlation Between Student Performances on Case-Based Constructed-Response Formative Assessment and Summative Assessment.

This study aimed to evaluate the impact of formative assessment with case-based constructed-response question (CRQ) formats on student performance on the final summative assessment in the second-year periodontics course. Classroom quizzes with case-based CRQs were implemented as the formative assessment during the course. Each student received feedback on their responses from the course director. After all students (N = 128) took the second-year final examination, the Friedman test was conducted to compare student performances in each assessment over time. The multiple linear regression (MLR) model was used to evaluate the association between the second-year final examination score and plausible predictors-student gender, the second-year formative and midterm examination scores, and time spent on the final examination. The mean % scores in the formative assessment (51) and midterm (84) examination were significantly lower than that of the final (87) examination (P < .01). The number of students who failed the final (6) examination was significantly lower than the midterm (16) examination (P = .03). The midterm (P < .0001) and the formative assessment (P = .0009) scores significantly affected the second-year final examination score while student gender (P = .59) and time spending (P = .83) showed no correlations. Within the limitations of the study, student performance on case-based CRQs was correlated with student performance on the summative assessment.

Research on the Optimization Path of College Education and Teaching Based on Big Data Analysis

Abstract Educational big data analytics can provide data support and decision-making reference for the optimization of education and teaching in colleges and universities by mining the daily behaviors of college and university students, searching for the data features that affect college students’ academic performance, and establishing corresponding prediction and early warning models. In this paper, we constructed a college student performance prediction model based on the CNNBiLSTM-Attention algorithm, integrating the advantages of bi-directional long- and short-term memory neural networks and attention mechanisms, introducing the 1-tanh function after the forgetting gate to make the output value of the forgetting gate in a more obvious range, retaining the features of the input data as much as possible, and improving the learning ability of LSTM. In the context of teaching in colleges and universities, we observed that the model in this paper achieved an accuracy of 86.39% and an F1 value of 83.59% on two dataset tasks, Principles of Microcomputer and News Editing, respectively. When predicting the results of the 2022 academic year grade performance points, the prediction accuracy of seven different score levels exceeded 80%. Three students in the experimental class had midterm scores below 40, but after teacher communication and targeted counseling, there were no students with scores below 40 at the end of the semester. In the midterm prediction, no student scored higher than 90. After the teachers adjusted the teaching plan and optimized the teaching arrangement based on the prediction results, six students had scores above 90 at the end of the final term. Students’ scores in all subsections have improved, and the overall distribution of scores has moved significantly toward the higher-scoring sections. From 68 points in the midterm prediction to 72 points in the final test, the number of sub-segments increased the most. The use of big data technology has had an optimizing effect on existing universities’ traditional education and teaching models.

PERHITUNGAN MATEMATIS KLASTERISASI NILAI MATA KULIAH MAHASISWA MENGGUNAKAN ALGORITMA K-MEANS

This research aims to conduct mathematical calculations related to the clustering of statistical course grades among students. The author utilized data from several students enrolled in the Mathematics Education Study Program at STAI Muhammadiyah Probolinggo, who took the statistics course as a case study. The clustering algorithm employed in this study is K-Means. The analysis results provide significant insights into the students' abilities in the statistics course. This research offers potential benefits to the study program in curriculum development and the design of more effective teaching strategies. The findings can be used to identify student groups in need of additional attention and to comprehend academic behavior patterns that may affect learning outcomes. In this study, only grade atributes such as assignments, mid-term, and final exam scores were utilized. Nevertheless, it is worth noting that the K-Means algorithm can be applied to cluster data with multiple grade atributes, including attendance, discipline, participation, and other atributes relevant to student learning.Keywords : mathematical calculations, identification, clustering, attributes

The correlation of numerical ability with learning outcomes in mathematics economics of management students of the Universitas Sumatera Barat

This research is motivated by the fact that not all students can do math calculations well. This can be seen when students carry out exercises on matrix material and the application of linear functions in economics that require numerical skills, namely the addition and subtraction of integers. There are still many students who are confused in doing the exercise, especially with quite large numbers such as tens and hundreds. At the time of doing the distribution of many students who hesitate in doing it. Likewise with multiplication, there are even some students who have not memorized multiplication from 1 to 10. From this the researcher concludes that not all students have good numerical skills, so that students in working on math problems tend to experience difficulties and cause students' low economic mathematics learning outcomes. The average student learning outcomes are still below the minimum standard, in this case it can be seen from the midterm exam scores in mathematics economics management students at the Faculty of Economics, Universitas Sumatera Barat. So, one of the factors that influence students' learning outcomes in economics mathematics is numerical ability. This type of research is ex post facto correlational research, namely research that is intended to determine whether there is a relationship between two or several variables. The population in this study were all management students at the Faculty of Economics, Universitas Sumatera Barat, who took four classes of economics mathematics, consisting of 128 students. The instruments used in this study were numerical ability tests and learning achievement tests. The analysis used in this research is linear correlation analysis. The results showed that there was a significant relationship between numerical ability and the learning outcomes of economic mathematics students at the Faculty of Economics, Universitas Sumatera Barat. This is also seen from the value of the correlation coefficient , the correlation coefficient when seen in the table of the level of closeness of the relationship between X and Y variables, then the level of closeness of the relationship is in the medium relationship category because it is in the range. So, it can be concluded that there is a significant relationship between numerical ability and the results of learning economics mathematics from students of management at the Faculty of Economics, Universitas Sumatera Barat.

Comparative Analysis of Animal Structure Practicum Results Based on Online and Offline Knocking Systems

Animal structure lectures are a learning process that is integrated with practicum activities which are mandatory activities and must be carried out in one semester in tandem with the implementation of theoretical learning. This study aims to find out the comparison of student midterm exam scores using the online and offline ketok system. The method used is a comparative analysis of midterm exam scores in two different classes. The instrument used was data on student midterm exam scores in two animal structure practicum classes. The results showed that the average midterm exam score in the class with the online knock system was 52.9 with the highest score 80 and the lowest 30, while in the offline knock system class it was 47.3 with the highest score 80 and the lowest 25 out of a total sample of 22 students in each class. Based on the research results, it can be concluded that the different midterm exam methods in the animal structure practicum have a significant influence on the practicum exam results

Addressing academic challenges: A quasi-experimental study on the effect of remedial exam strategy for nursing students with low academic performance.

Universities are responsible for providing education and support to all students, including those who may be underachieving. To fulfill this responsibility, universities need effective strategies to help these students graduate successfully. This study aimed to evaluate the effectiveness of a midterm remedial exam strategy in improving the academic performance of nursing students. A quasi-experimental design was employed to conduct this research at a private college in Dammam, Saudi Arabia's eastern region. The study included 306 convenient bachelor nursing students who had failed their midterm exam. Of these, 103 students voluntarily participated in the remedial midterm exam (intervention group) to enhance their midterm scores, while 203 students did not take the remedial exam (control group). Data collection took place in the spring of 2022 by reviewing course files and student records, encompassing formative and summative evaluations across 14 courses. Data analysis involved using SPSS (2023) and Jamovi (version 2.3, 2022) software to conduct paired t-tests, Mann-Whitney, and correlational tests. The remedial group demonstrated significant differences between their midterm and remedial exam scores. However, only 15.5% of students in the remedial group passed the exam, despite 68% showing improvement. Additionally, there were significant differences between the intervention and control groups in midterm and overall course scores. The control group outperformed the remedial group in the midterm, final exams, and overall course scores (p <0.05). Remedial exams can be beneficial for students who are close to passing but may not effectively support those who perform poorly. To address this, implementing a comprehensive remedial program or providing ongoing remedial activities throughout the course can offer better support for strongly underperforming students. Additionally, educational institutions can enhance students' motivation and performance by providing study skills classes and time-management workshops, equipping them with valuable tools for academic success.

The Influence of Student Innovation Management Subject and Students’ Creativity in Increasing the Quality of Learning

In learning activities, it is very necessary to have optimal synergy, especially from lecturers and students, as well as a study of the subjects taught in class either through theoretical studies which are then carried out in practice to find out whether the theory can really be proven in the real world through the practice of creating a product. or new services from the results of students' creative thinking and work guided by lecturers in innovation management courses. The purpose of the research conducted this time was to determine the influence between innovation management courses and student creativity, especially in improving the quality of student learning. The method used to obtain data in research is to use quantitative methods using comparative analysis to find out how big the comparison is in the quality of learning. This research was conducted on 104 students majoring in management. The results obtained by researchers include: 1) From the results obtained, it can be seen that the innovation management course has an effect on improving the quality of learning; 2) Furthermore, from the results that have been analysed, it can be seen that the level of student creativity has an effect on improving the quality of learning; and 3) The quality of learning that occurs in class can be seen from the learning outcomes of class 2F students, namely from the average midterm exam score of 79 and the average final semester exam score of 87, class 2G, namely from the average midterm exam score of 76 and the average semester final exam score is 85, and class 2H is from the average midterm exam score of 81 and the average semester final exam score is 85; 4) The comparative test results for class 2F are 0.000 &lt;0.05, indicating a significant difference between the midterm exam scores and the final exam scores, class 2G, namely 0.000 &lt;0.05, indicating a significant difference between the midterm exam scores. Semester with the end of semester exam scores, and class 2H, which is equal to 0.000 &lt;0.05, indicating a significant difference between the midterm exam scores and the final semester exam scores. Keywords: Innovation Management, Student Creativity, Learning Quality

Effects of free textbooks on academic performance: Evidence from China's compulsory education

AbstractSince little is known about the effects of free textbooks on compulsory school students in China, this paper examines the effects of free textbooks on the academic performance of Chinese middle school students. It combines propensity score matching and difference‐in‐difference estimation to control for both observable and unobservable factors that affect the probability of obtaining free textbooks as well as students' academic performance. Results indicate that free textbooks significantly improve the midterm scores of girls and rural students, and the effects vary across different subjects. Moreover, the impact mechanisms of free textbooks are different for different groups and different subjects.

Need Analysis to Develop Global Warming e-Module Integrated Problem Bases Learning Model to Improve Students' 21st Century Skills

The challenges of globalization require students to have skills or skills, especially skills of 21st century. The skills of 21st century that students must increase are the 4C skills, including: thinking in critical, creative, collaboration and communication. The research aim was to analyze the need for the making of an e-module on global warming integrated with the PBL model to increase students' skills of 21st century. In the research there were three something investigated, namely physics teachers, physics lesson plans, physics materials of teaching, and students of class XI IPA. The research subjects were 4 physics teachers and 33 people class XI SMA students Negeri 13 Padang. The techniques for data collection used in this research were interviews, documentation and 21st century skills tests. The collected of data by appropriate instruments were analyzed using techniques of descriptive statistical analysis. Based on data analysis, the results obtained included: 1) physics learning could not be carried out properly, 2) the learning objectives developed had not been able to help students achieve learning behavior, 3) analysis of the students characteristics found that motivation, interest, and independence of students are in the less category, 4) analysis of students' 21st century skills found that the initial skills of thinking in critical, creative, collaboration and communication of students are in the less category, 5) analysis of student learning outcomes it is found that midterm exam scores are still in the deficient category.

Pengaruh Penggunaan Aplikasi BUPIN terhadap Peningkatan Hasil Belajar Siswa Madrasah Aliyah Plus Taruna Islam Al-Kautsar Kraksaan Probolinggo

This research was conducted to determine whether the implementation of the BUPIN (Interactive Learning Book) application can improve student learning outcomes. In this case, the researcher chose a comparative quantitative approach. The population selected by the researcher consists of all 62 students of MA Plus Taruna Islam Al-Kautsar in the academic year 2022/2023. The simple random sampling technique was used to determine the sample members, and the researcher selected 21 students from class X. The data collected by the researcher consisted of mid-term and final exam scores. The data were analyzed using one-way ANOVA, and the SPSS version 16.0 application was used to assist in data analysis. From the results of the analysis, the researcher obtained a significant value of less than 0.05 (0.000 &lt; 0.05). Therefore, it can be concluded that the use of the BUPIN (Interactive Learning Book) application can improve student learning outcomes.

Singing Method Application in Improving Memorizing of Obligatory Characteristics of Allah to Madrasah Diniyah Students

Music or songs are the result of a combination of beautiful lyrics and melodies, which is why everyone likes them, both the community of young children and adults. Therefore, the use of music or songs is also used in the teaching and learning process to change learning which was originally boring to be fun. This research aims to find out how educators improve the memorization of Allah's obligatory attributes using the singing method at Madrsah Diniyah Takmiliyah Darul Huda Lubuk Harjo, South Sumatra. In collecting data, researchers used observation, documentation, and interview techniques. The results of the study show that the efforts made by educators in developing rote memorization of Allah's obligatory attributes with the singing method are carried out when the subject teacher is about to take midterm exam scores. Subject teachers teach songs that will be used in memorizing the obligatory attributes of Allah and then imitated by students. The results show that the singing method can improve students' memorization

Massive open online course recommendation system based on a reinforcement learning algorithm

AbstractMassive open online courses (MOOCs) are open online courses designed on the basis of the teaching progress. Videos and learning exercises are used as learning materials in these courses, which are open to numerous users. However, determining the prerequisite knowledge and learning progress of learners is difficult. On the basis of learners’ online learning trajectory, we designed a set of practice questions for a recommendation system for MOOCs, provided suitable practice questions to students through the LINE chatbot (a type of social media software), and used mobile devices to encourage participation in MOOCs. Reinforcement learning, which involves reward function design and iterative solution improvement, was used to set task goals, including those related to course learning and practice question difficulty. The proposed system encouraged certain learning behaviors among students. Students who used the system exhibited an exercise completion rate of 89.97%, which was higher than that of students who did not use the system (47.23%). The system also increased the students’ overall learning effectiveness. Students who used and did not use the proposed system exhibited average midterm scores of 64.73 and 58.21, respectively. We also collected 227 online questionnaires from students. The results of the questionnaires indicated that 90% of the students were satisfied with the system and hoped to continue using it.

Evaluation of the Android-based Learning Outcomes Report for Effective and Effective Student Learning Outcomes

In the implementation of submitting reports on student learning outcomes both daily scores, midterm exam scores, and final semester exam scores still use e-reports. thus causing a lack of interest in student learning because learning outcomes cannot be obtained by students/parents in an updated manner. Parents experience difficulties in knowing their children's learning outcomes because parents only get their children's learning results in the middle of the semester and the end of the semester. Schools also experience difficulties, namely: in archival storage. Related to these conditions, good cooperation is created for the application of the SIHABEL software Android-Based Learning Outcomes Evaluation Report as an information system for reporting learning outcomes so that later the reporting process will run effectively. The method used in this research is R&amp;D (Research and Development) version 4D (Define, Design, Develop, Disseminate). Based on the results of this product test it can be concluded that the SIHABEL software Evaluation of Android-Based Learning Outcomes Reports helps schools in carrying out student learning outcomes reporting effectively and can provide the information needed by stakeholders quickly and validly