Assessment Of Student Performance Research Articles

A smart system for student performance assessment (SPA)

The proposed smart system for Student Performance Assessment (SPA) is a system that evaluates students' knowledge and skill attainment in a specific course by measuring their achievements of the Course Learning Outcomes (CLOs). The instructor defines the aspects, weights, and rating scale used by SPA to analyze each course. The system calculates the average of students' marks in each learning outcome and compares them with the CLO targets and scores to determine the effectiveness of the teaching and learning methods used. The system uses facts and rules extracted from the course syllabus and Bloom's Taxonomy to build its knowledge base. This paper presents the development of the SPA inference engine, which is used to find CLO targets based on the course level. The inference engine uses efficient procedures and a prediction process to determine the correct target and score, providing a reliable and understandable methodology for reasoning about the information in the knowledge base and formulating conclusions. SPA is a highly responsive and intelligent system that can be a valuable tool for measuring students' achievements. Its characteristics include high performance, reliability, and intelligibility, and its combination of cognitive systems and cognitive theory has led to remarkable progress in measuring student performance. Limitations include dependency on accurate course content and initial setup time, potential bias in CLO weight assignments, challenges in integrating SPA with existing institutional databases, the need for continuous updates to the knowledge base to reflect curriculum changes, and potential resistance from educators to adopt new technologies. Future improvements could involve adaptive learning integrations, enhanced user interfaces, and broader applicability across diverse educational settings.

Teaching a new Obturation Technique in Preclinical Endodontic Training: Assessment of Student Learning Experience, Performance, and Self-Evaluation

IntroductionThis study investigated the impact of implementing hydraulic condensation (HC) as a second obturation technique in the Endodontic Preclinical course for dental students trained in warm vertical compaction (WVC). MethodsA total of 70 students performed root canal treatment of two extracted molars; they performed the HC technique for the first time after a demonstration. The combination of the obturation technique (WVC or HC) and the type of molar (maxillary or mandibular) was randomly assigned, resulting in four groups (n=35). The students answered a questionnaire appraising their learning experience and completed a self-evaluation rubric. Masked instructors graded projects. Data was statistically analyzed (significance set at 5%). ResultsMost of the students (91%) considered learning two obturation techniques relevant and considered it difficult to perform the downpack in molars (p<0.05). About half of the students (45.7%) responded that HC resulted in fewer errors and disagreed that WVC derives in a more homogeneous obturation; accordingly, 52.9% of the students selected the highest self-grading for HC obturations, while only 38.6% for WVC. No significant difference was found in the distribution of grades attributed by students and instructors (p>0.05). Students reported significantly higher levels of confidence for HC and difficulty for WVC (p<0.05). No difference was found between the techniques regarding the presence of voids. The presence of multiple errors was more frequent for WVC (p<0.05). ConclusionThe findings indicate a positive learning experience and comparable performance among preclinical dental students in implementing HC as an alternative obturation technique.

Computer Allied Intelligence in the Education Resource-Sharing Based inContract Deep Learning

A resource-sharing platform is an online space where individuals or organizations can exchange or access various resources, such as knowledge, skills, tools, or assets. These platforms facilitate collaboration and cooperation among users by providing a centralized hub for sharing resources efficiently. In university higher education, a resource-sharing platform serves as a vital tool for students, faculty, and staff to optimize access to a wide array of educational resources. These platforms enable the sharing of academic materials, such as textbooks, lecture notes, and research papers, fostering collaborative learning environments. This paper proposed the proposed method of Distributed Consensus Blockchain Deep Learning (dCBDL) for a resource-sharing deep learning platform in higher education aims to revolutionize collaborative learning and resource utilization. Initially, the dCBDL model uses a blockchain network that serves as the underlying infrastructure for the platform. This blockchain will store transaction records, verify the authenticity of shared resources, and ensure data integrity and immutability. The proposed model uses smart contracts and decentralized storage with a consensus mechanism for data processing in higher education. Finally, the proposed dCBDL model uses the deep learning model for the classification and assessment of student performance in higher education. The proposed model achieves a classification accuracy of 98% which is significantly higher than the conventional techniques such as blockchain architecture and SVM and LSTM classifiers.

Integration of Project-Based STEM Learning in the Meliuk Menerjang Material within the Emancipated Curriculum

This study aims to develop a project-based STEM (Science, Technology, Engineering, and Mathematics) learning tool for the "Meliuk Menerjang" material in the Emancipated Curriculum for grade IV students in Indonesian elementary schools. The objective is to create a tool that is feasible, practical, and effective in improving student learning outcomes. The research employs a Research and Development (R&amp;D) approach, specifically following the ADDIE (Analysis, Design, Development, Implementation, Evaluation) model. Data was collected through validation from material and design experts, questionnaires, and student performance assessments. The study included 25 students and 20 teachers from various elementary schools in Malang City to identify the needs and effectiveness of the project-based STEM learning model. Data analysis was performed using SPSS for effectiveness analysis and qualitative analysis for feedback and validation results. Findings: The project-based STEM learning model demonstrated high feasibility with significant improvements in students' understanding and skills. Validation results showed that the content was relevant and supportive of STEM skill development. Both teachers and students positively accepted the learning model, indicating increased confidence and motivation. Conclusion: Integrating project-based STEM learning in the Emancipated Curriculum positively impacts student engagement, motivation, and learning outcomes. This approach fosters critical thinking, creativity, and teamwork among elementary students, preparing them for future technological challenges.

The impact of the COVID-19 pandemic on higher education: Assessment of student performance in computer science.

The COVID-19 pandemic had radically changed higher education. The sudden transition to online teaching and learning exposed, however, some benefits by enhancing educational flexibility and digitization. The long-term effects of these changes are currently unknown, but a key question concerns their effect on student learning outcomes. This study aims to analyze the impact of the emergence of new models and teaching approaches on the academic performance of Computer Science students in the years 2019-2023. The COVID-19 pandemic created a natural experiment for comparisons in performance during in-person versus synchronous online and hybrid learning mode. We tracked changes in student achievements across the first two years of their engineering studies, using both basic (descriptive statistics, t-Student tests, Mann-Whitney test) and advanced statistical methods (Analysis of variance). The inquiry was conducted on 787 students of the Lublin University of Technology (Poland). Our findings indicated that first semester student scores were significantly higher when taught through online (13.77±2.77) and hybrid (13.7±2.86) approaches than through traditional in-person means as practiced before the pandemic (11.37±3.9, p-value < 0.05). Conversely, third semester student scores were significantly lower when taught through online (12.01±3.14) and hybrid (12.04±3.19) approaches than through traditional in-person means, after the pandemic (13.23±3.01, p-value < 0.05). However, the difference did not exceed 10% of a total score of 20 points. With regard to the statistical data, most of the questions were assessed as being difficult or appropriate, with adequate discrimination index, regardless of the learning mode. Based on the results, we conclude that we did not find clear evidence that pandemic disruption and online learning caused knowledge deficiencies. This critical situation increased students' academic motivation. Moreover, we conclude that we have developed an effective digital platform for teaching and learning, as well as for a secure and fair student learning outcomes assessment.

Assessing Student Performance Through Pupil Dilation and Problem-Solving Time in Augmented Reality

Assessing Student Performance Through Pupil Dilation and Problem-Solving Time in Augmented Reality

PENILAIAN KINERJA (PERFORMANCE ASSESSMENT) PESERTA DIDIK DALAM PRAKTIKUM MATERI LARUTAN PENYANGGA (BUFFER)

This research aimed at knowing the students' performance ability in conducting chemistry practicum using performance assessment instruments. Questionnaires and student psychomotor observation sheets on buffer solution material were used for collecting the data, the observation sheet has indicators: 1) preparing preparations before doing the practicum, 2) skills in preparing tools and materials, 3) skills in conducting experiments in accordance with the practicum guide, 4) skills in using tools and taking materials, 5) drawing skills or recording the results of practical observations, 6) ability in creating, taking initiative. This research was conducted at Vocational High Schools of Ikasari Pharmacy and Abdurab Pekanbaru. This research used a qualitative descriptive. The population in this research were students at Vocational High Schools of Ikasari Pharmacy and Abdurab Pekanbaru with samples 61 students that were selected using a purposive sampling technique. The assessment results of the performance indicators in preparing preparations before conducting the practicum was 95.49%, skills in preparing tools and materials were 85.04%, skills in conducting experiments in accordance with the practicum guide was 88.66%, skills in using tools and taking materials were 93.03%, skills in drawing or recording the results of practical observations was 88.93% and the ability in creating, taking initiative were 88.17%, Overall the mean scores of the results students’ performance assessment in practicum the buffer solution material were 89.88%. Based on these results, it could be concluded that the student performance assessment observation sheet was in very good category in measuring students' psychomotor abilities on the main topic of buffer solutions. Keywords: Performance Assessment Instrument, Psychomotor Ability, Buffer Solution

Automated English Teaching System Through Deep Belief Network for Human-Computer Interaction Experience

This paper presented the integration of Human-Computer Interaction (HCI) with the Automated Teaching Belief Network (ATBN) to enhance automated English teaching experiences. The proposed ATBN model implemented the Deep Belief Network for the estimation of the factors related to the HCI to promote the experience of the users. The ATBN model uses the deep learning model for the classification in English Teaching. Through the capabilities of deep learning and HCI principles, the ATBN system offers personalized and adaptive learning experiences tailored to individual student needs. The proposed ATBN model estimates the features in English teaching to improve the performance of the Students through HCI model. Simulation analysis expressed that proposed ATBN model improves the pre-test and post-test score by +15 for the English Teaching. The classification values are achieved with accuracy value of 94.8% with minimal loss of 0.12. The assessment of student performance through pre-test and post-test score is improved by 15 for the beginner, intermediate and advanced level. The findings expressed that proposed ATBN model achieves the higher teaching test performance for the HCI language level through the belief network those significantly improves the user experience.

Assessment of Soccer Teaching Ability Based on Deep Learning Algorithm

Soccer teaching involves imparting fundamental skills, tactics, and strategies related to the sport of soccer. Coaches and instructors focus on teaching players proper techniques for dribbling, passing, shooting, and defending, while also emphasizing teamwork, sportsmanship, and game awareness. Soccer teaching sessions typically include a combination of drills, scrimmages, and tactical discussions tailored to the age and skill level of the players. This paper proposed an effective soccer assessment technique for teaching ability with the Automated Probabilistic Deep Learning (APDL) model. The proposed APDL model comprises an automated model for the assessment of student performance. The proposed APDL model processes the input soccer images with the pre-processing of the features. With APDL model uses the probabilistic computation features for the computation of the variables in the soccer data. With the extraction of the features, the maximum likelihood is computed for the classification with the deep learning model features. The APDL model implements the classification-based deep learning model features with the examination of soccer teaching, instruction, development of skill, and players. Simulation results demonstrated that prediction with the APDL model estimates the probability of prediction as 0.91 with an estimated uncertainty value of 0.08. In the case of teaching and coaching assessment, the uncertainty is stated as 0.08 for both with the prediction assessment score of 0.92. The classification accuracy of the proposed APDL model is achieved as 0.95 with the precision value of 0.97. The findings of this research contribute to the advancement of coaching methodologies in soccer, providing coaches and educators with valuable insights into their teaching effectiveness and areas for improvement. Additionally, the automated nature of the APDL model offers scalability and efficiency in assessing coaching performance, paving the way for enhanced coaching practices and player development in soccer.

Tanfiż Istirātījiyyah Majmū’ah al-Tahqīq litarqiyah al-Mahārāt al-Lugawiyyah liṭullāb al-Madrasah al-Ṡānawiyyah

This research aims to evaluate the effectiveness of Group Investigation strategies to teach language skills to Class 7 students at Nurul Mujtahidin School. The study employs Classroom Action Research (CAR) methodology, consisting of cyclical planning, acting, observing, and reflecting processes. The research design includes multiple cycles to ensure continuous improvement and adaptation of teaching strategies. Data were collected from classroom observations, student performance assessments, and interviews with students and teachers. The data collection techniques involved direct observation, structured interviews, and analysis of student work. Data analysis was performed using qualitative and quantitative methods to provide a comprehensive understanding of the impact of Group Investigation strategies. The results indicate that these strategies significantly enhance students' language skills, engagement, and collaborative learning abilities. The study concludes that Group Investigation is effective and innovative. The results of this study are: 1) The teaching of language skills using Group Investigation strategies can develop students' enthusiasm by seeing their enthusiasm for learning and coming to school on time. 2) The teaching of language skills using Group Investigation strategies can develop student grades by looking at the number of students 15, the highest score of 100, the standard value of 75, which is included in the standard score of 15, and the overall average score of 84. Based on the results of this study, the authors suggest that principals, curriculum sections, and teachers pay more attention to the factors that encourage students to improve their Arabic language skills. And to the eighth grade to further increase their enthusiasm for learning Arabic.

Assessment strategies and challenges of teachers in evaluating students during online learning

Education was forced to modify face-to-face classes into three pedagogical approaches: synchronous, asynchronous, and blended learning, requiring teachers to change the grading system, assessment, and evaluation of student performance. This study aimed to determine the assessment tools, strategies, and challenges that teachers encounter during online learning. The researchers conducted an online and face-to-face survey that consisted of 75 questions to 50 online teachers who were selected through convenience sampling from seven public and private elementary schools. Findings indicate that most teachers apply traditional assessment strategies to evaluate students in online learning. Some online assessment applications like Edpuzzle, Google Classroom, Kahoot, and Quizzes are rarely used to assess student learning. Teachers, however, frequently utilized Facebook and Messenger in delivering assessments. They applied multiple assessment strategies in online learning to accommodate the learning styles of their students. However, data revealed that most teachers have difficulty ensuring the quality of participation, integrating authentic assessment into online learning, and using online assessment applications. It is recommended for teachers to provide their students with balanced assessment, timely communication, constructive feedback, group multimedia projects, appropriate instructional materials, and alternative online tools to enable meaningful learning.

A digital pen-based writing state recognition algorithm for student performance assessment

A digital pen-based writing state recognition algorithm for student performance assessment

Penerapan Metode Kooperatif Tipe Learning Together Untuk Meningkatkan Hasil Belajar Seni Budaya di SMAN 8 Denpasar

After conducting initial observations at SMK Negeri 8 Denpasar, it was discovered that the students' learning outcomes in cultural arts subjects were relatively low. Therefore, the researcher decided to conduct further study using the PTK (Classroom Action Research) approach method. The aim of implementing the PTK method was to enhance students' understanding of the cultural arts subject through a cooperative learning model known as "learning together," with the goal of improving student learning outcomes. The PTK method involved 2 cycles, with each cycle consisting of 4 stages. The research subjects were the 35 students of class XII Mipa-4 at SMA Negeri 8 Denpasar. Data was collected using performance assessment and observation methods. The collected data was analyzed using a qualitative descriptive method, which aimed to examine the entire cultural arts learning process. Additionally, a qualitative method was applied to analyze the results of the assessment of student performance by comparing the average value of the completeness of learning outcomes. Following the analysis, it was observed that in cycle I, the highest and lowest scores for students of SMA Negeri 8 Denpasar class XII Mipa-4 were 85 and 60, respectively, with a class average score of 71. However, in cycle II, the highest and lowest scores increased to 95 and 80, and the class average score rose to 88. Furthermore, in cycle II, all students achieved scores above the minimum completeness level. This indicated a significant improvement in student scores from cycle I to cycle II.

Analyzing Test Performance of BSIT Students and Question Quality: A Study on Item Difficulty Index and Item Discrimination Index for Test Question Improvement

This study presents a comprehensive assessment of the test performance of Bachelor of Science in Information Technology (BSIT) students in the System Integration and Architecture (SIA) course, coupled with a meticulous examination of the quality of test questions, aiming to lay the groundwork for enhancing the assessment tool. Employing a cross-sectional research design, the study involved 200 fourth-year students enrolled in the course. The results illuminated a significant discrepancy in scores between upper and lower student cohorts, highlighting the necessity for targeted interventions, curriculum enhancements, and assessment refinements, particularly for those in the lower-performing group. Further examination of the item difficulty index of the assessment tool unveiled the need to fine-tune certain items to better suit a broader spectrum of students. Nevertheless, the majority of items were deemed adequately aligned with their respective difficulty levels. Additionally, an analysis of the item discrimination index identified 25 items suitable for retention, while 27 items warranted revision, and 3 items were suitable for removal, as per the analysis outcomes. These insights provide a valuable foundation for improving the assessment tool, thereby optimizing its capacity to evaluate students' acquired knowledge effectively. The study's novel contribution lies in its integration of both student performance assessment and evaluation of assessment tool quality within the BSIT program, offering actionable insights for improving educational outcomes. By identifying challenges faced by BSIT students and proposing targeted interventions, curriculum enhancements, and assessment refinements, the research advances our understanding of effective assessment practices. Furthermore, the detailed analysis of item difficulty and discrimination indices offers practical guidance for enhancing the reliability and validity of assessment tools in the BSIT program. Overall, this research contributes to the existing body of knowledge by providing empirical evidence and actionable recommendations tailored to the needs of BSIT students, promoting educational quality and student success in Information Technology.

Primary School Teacher’s Views on the Purpose and Forms of Student Performance Assessment

Assessment is a complex and dynamic process and an integral part of teaching and learning. It is an issue that concerns the state, educators and scientists, teachers, parents, and students. This study aims to analyze the views of primary school teachers. A questionnaire was used as the research method. The findings of the research revealed that most teachers agree with the assessment of student performance, considering it mostly a quality process that must move according to the described logic. They generally apply a Formative Assessment while applying a Diagnostic Assessment and Summa-tive Assessment depending on the time of the teaching process. The teachers also state that the assessment is primarily aimed at measuring the achieve-ment of the teaching objectives, feedback, identification of the learning dif-ficulties, and determination of the special inclinations/abilities of the students. The majority of the teachers of Aetoloakarnania who participated in the research, expressed a positive attitude toward the assessment of the student's performance. Teachers believe that the assessment of student performance from a pedagogical view-point is a qualitative process, during which all the parameters that influence it should be considered. They also argue that it should be aimed at controlling the student’s progress in relation to his or her previous performance, while at the same time recommending a process to measure the achievement of the teaching objectives.

Utilizing Artificial Intelligence in Teaching Arabic Language Skills (Visions and Expectations)

The study aimed to explore and understand the use of artificial intelligence in teaching the Arabic language and enhancing student performance. The study included a sample of 309 participants, including teachers, faculty members, students, and educational administrations. Questionnaires were distributed to gather their opinions and expectations regarding the use of artificial intelligence in teaching Arabic and to assess the benefits and challenges, The results showed positive insights and expectations among teachers, students, and educational administrations. Teachers believe that artificial intelligence can help them improve their performance and provide excellent educational content to students, as well as cater to their diverse needs. Students see artificial intelligence to make the learning process enjoyable and interactive, helping them improve their Arabic language skills and meet their individual needs. Educational administrations believe that artificial intelligence can enhance the quality of education, contribute to school performance improvement, and develop the level of Arabic language instruction, The study concluded that artificial intelligence can be used to improve Arabic language education through content customization, interactive learning, and accurate student performance assessment. It can also support self-learning and reduce the burden of routine tasks on teachers. However, the study also highlights the challenges that need to be considered, such as good organization and technical monitoring, as well as the importance of focusing on security and privacy.

Student Result Analysis and Management

Abstract: Student result analysis and management (SRAM) gives a straightforward interface to support student data. It might be utilised by instructive universities or colleges to keep up the records of students effectively. Student information system manages all sorts of student details, academic related reports results, batch details, and other resource related details too. An effective result analysis system plays a pivotal role in facilitating efficient management of student data and performance assessment. Institutions staff and administrators need to manage students’ information and academic records. For staff by offering analysis, streamlined administrative tasks and efficient records management. For students, it provides easy access to their academic performance and results metrics. This abstract delineates the design and implementation of a robust result analysis system, encompassing a PHP-based backend. The system caters to the needs of teachers, students, and administrators, offering functionalities tailored to each user category. Ultimately, the deployment of the result analysis system on a web server caters to the needs of educational institutions, facilitating efficient management of student data and fostering a conducive environment for academic assessment and improvement

Training framework for high-stakes OSCE: Experience from volunteer standardized patients' bank.

Training of standardized patients (SPs) for national high-stakes OSCE helps to ensure a reliable assessment of student performance in various clinical scenarios. However, workflow protocols to train SPs vary. Medical schools adopt specific measures to ensure standardization. We present a development workflow of the SPs' training framework for high-stakes OSCE using a volunteer SPs' bank. Our approach was guided by the social learning theory. Three educators and 17/20 (85%) members of our volunteer SPs' bank worked in a collaborative partnership on the construction of pedagogical content of the training framework comprising three 2-hour sessions. Since SPs have to demonstrate acquired behaviors, intended learning outcomes used the words "apply", "perform" and "participate." A principal part of the evaluation was the achievement of intended learning outcomes by the SPs during 3 formative OSCEs. Seventeen SPs, 356 fourth year medical students and 60 examiners participated. Quantitative and qualitative data were collected by post-session questionnaires and analyzed using descriptive statistics and thematic analysis. Twelve examiners evaluated a mean of 29.7+/-0.14 SD patient-student encounters. In total, 15/16 SPs (93.8%) considered the contact with students as easy and 4 SPs (31%) reported the experience as stressful. Two themes emerged from the free-text comments: "Gaining experience as SP" and "Concerns for evaluated students." The proposed SPs' training framework for high-stakes OSCE may be useful for other medical disciplines and health professions initiating SP-based assessment programs. The strategy of development and evaluation are outlined to guide a successful application of the curriculum standards.

Development of STEM Integrated Flipped Classroom Learning Program to Improve Students' Systems Thinking Skills

This research develops a Flipped Classroom integrated with STEM with the ADDIE model to improve systems thinking skills. The research subjects were 31 students at Al Kautsar Middle School in Bandar Lampung. At the beginning of the research, it was found that 70% of teachers had not used the flipped classroom, 65% had not integrated STEM, 73% had not understood systems thinking skills which was carried out on 30 teachers, and performance analysis was carried out on 60 students, with the results of 72% learning traditionally, 73% had not integrated STEM and the average value of systems thinking skills is 40. Validators stated that the development instrument was valid with values of 92.12 and 92.52% when limited testing was carried out. Assessment of learning implementation was 89% and assessment of student performance was 88%. The program is effective in improving systems thinking skills in terms of an N-Gain of 0.58 and an effect size of 0.22 in the medium category. Effectiveness is supported by practicality 88%, positive teacher response 88%, and positive student response 81% with very high criteria. The research results concluded that the STEM-integrated flipped classroom program was effective and practical in improving systems thinking skills.

Pragmatic strategies in teaching the Romanian language to international students

The following paper examines effective language-teaching strategies for international students learning Romanian amidst the increasing globalization. Addressing challenges faced by diverse learners, the study employs a methodology encompassing literature review, classroom observations, and interviews with experienced instructors. Emphasizing the importance of pragmatic elements in language instruction, the research explores the integration of technology, cultural immersion, and real-world applications to enhance pragmatic competence. Grounded in sociolinguistic theories, the article underscores the role of pragmatic competence in effective communication. Beyond linguistic structures, language instructors are urged to incorporate nuanced elements reflecting Romanian culture. Pedagogical strategies tailored to international students include task-based activities, role-playing, and language immersion. Assessment involves qualitative analysis of student performance, feedback, and proficiency assessments. The article also delves into the role of technology, discussing the integration of virtual reality, online platforms, and multimedia resources for immersive learning. The study concludes with implications for educators, curriculum developers, and policymakers, advocating for culturally sensitive language curricula. Overall, it contributes to the discourse on language education by emphasizing the interconnectedness of language and culture, promoting pedagogical approaches that foster cross-cultural communication.