Comprehensive Student Assessment Research Articles

Pengembangan Evaluasi Teknik Non Tes

The teaching and learning process is the core of education with teachers and learners playing the main roles. Evaluation is a key aspect of the educational process, ensuring the achievement of curriculum objectives. Evaluation not only measures student learning outcomes, but also helps understand the learning process and provides information for further improvement. Evaluation can be either test or non-test, and the use of both methods depends on the purpose of the assessment and the aspects of learning to be assessed. This research uses a literature review to explore the concepts and methods of non-test evaluation in education. Non-test evaluation includes various techniques such as performance assessment, project/product assessment, attitude assessment and others. The development of non-test evaluation is important as it allows for a comprehensive assessment of students' affective and psychomotor aspects, which cannot always be measured by written tests. The functions of non-test evaluation in education include measuring affective and psychomotor aspects, providing a holistic picture of students' abilities, supporting individualized learning, motivating students, and identifying strengths and weaknesses in learning. As such, non-test evaluation is an integral component of the learning process that helps maximize overall educational outcomes.

Effects of Colloquial Language on the Writing Skills of Grade 11 Students

This study aimed to investigate the effects of colloquial language on the English writing skills of Grade-11 students. It evaluates the prevalence of colloquial language usage, encompassing contractions, abbreviations, and sentence structures. Concurrently, it conducts a comprehensive assessment of students' writing skills, specifically emphasizing grammar, spelling, and coherence. The research methodology employed a quantitative approach, implementing a descriptive-correlational design. A rigorously selected random sample of 83 Grade 11 students from San Juan National High School forms the basis of this study. Data collection procedures include the utilization of a validated researcher-designed survey questionnaire coupled with the systematic analysis of written essays through the application of analytical rubrics. Empirical findings stemming from this investigation underscore the commendable writing proficiency of the students, with 30% demonstrating proficiency in grammar, 80% in spelling, and 28% in coherence. The p>0.05 indicates that there is no significant correlation between colloquial language usage and the level of writing skills of the participants. These findings offer valuable insights into the limited impact of colloquial language on the development of writing skills, irrespective of prevailing linguistic variations within society. Consequently, educators are encouraged to consider the judicious integration of opportunities for students to engage with colloquial language within contextually appropriate boundaries.

Contours of modern education: assessing students’ digital skills

In today’s information society, digital skills are becoming an increasingly important element in the successful adaptation of young people to a rapidly changing world. Assessing the level of digital literacy of students is a key aspect of developing effective educational programs and strategies aimed at preparing specialists for the challenges of the digital era. The purpose of the study is a comprehensive assessment of students’ digital literacy. The main areas of work include the analysis of existing methods for assessing digital literacy and the application of these methods to obtain specific data on a selected group of respondents. The scientific significance of this study lies in the development of an integrated approach to assess various aspects of digital literacy, as well as in identifying key areas for improving educational programs in the context of the digitalization of society. The practical significance of the study is expressed in the possibility of using the data obtained to improve educational programs and courses aimed at developing students’ digital skills. The study was conducted by anonymously surveying students using the cloud service SurveyMonkey. The survey used questions aimed at assessing the level of information, computer, communication literacy, media literacy, and attitudes toward technological innovation. The results of the study show that the average digital literacy level of students is 79.7%, with some differences between language departments. Data analysis allows us to formulate recommendations for improving the effectiveness of training in the field of digital technologies. This study makes an important contribution to the field by providing information on the current level of digital literacy among students and identifying key areas for improving educational programs in the era of digitalization. The results obtained can be used to develop and improve educational programs and courses aimed at developing digital skills, which contributes to the successful adaptation of young people to modern challenges and increases their competitiveness in the labor market.

ПОРТФОЛИО – МЕТОД КАЧЕСТВЕННОГО ОЦЕНИВАНИЯ ЗНАНИЙ СТУДЕНТОВ ПРИ ИЗУЧЕНИИ КУРСА «МАТЕМАТИЧЕСКИЙ АНАЛИЗ»

This article is devoted to using portfolio in evaluation process of students’ knowledge of studying the course "Calculus". Portfolio as a method of qualitative and comprehensive approach to knowledge assessment is gaining great importance. With the portfolio method, the assessment process becomes focused and continuous. The portfolio allows you to build the learning process taking into account the individual characteristics of each student. The portfolio method allows you to take into account all the student’s achievements in acquiring new knowledge, developing personal and professional competencies. The benefits of portfolio method are examined in the context of mathematics education, emphasizing the portfolio method's ability to systematize and to document students' individual achievements and progress. The article also covers the issues of choosing content and portfolio structure, evaluation methods and influence in the learning process. Aspects of introducing portfolios into the learning process for an accurate and comprehensive assessment of students' knowledge in Calculus have been studied.

Transcending Boundaries: Exploring Nordic Education Models for Enhancing China's Educational Landscape

When the Nordic countries are mentioned, they are often regarded as examples of social democratic welfare systems with certain unique qualities. In modern times, education has been recognized as one of the cornerstones of the welfare state. Through Finland's impressive performance when the results of the first international PISA test were released in December 2000, the Nordic model of education, including the Danish, Finnish, Icelandic, Norwegian, and Swedish education systems, has come to be frequently referred to and recognized as a model for education in the world. This paper analyses the Nordic education system based on existing data and literature, with the aim of suggesting its applicability to China's education system by analyzing the sophistication of the Nordic countries' educational philosophies and teaching methods. Despite the differences between the Nordic countries and China, this paper proves that some of the advanced policies and concepts of the Nordic education system can be applied to China's education system and gives the following four recommendations. (1) Emphasis on teacher evaluation literacy enhancement; (2) Teachers and parents value equality and inclusion in education; (3) Accurately grasping the function of comprehensive student assessment; (4) Developing a diversified curriculum to enhance quality.

Preliminary Investigation of the Relationship of Ivymount Social Cognition Instructional Package (IvySCIP) to Similar Assessment Tools and Impact on Students with High Functioning Autism

Abstract Ivymount Social Cognition Instructional Project (IvySCIP) supports teachers and related service providers to implement data-driven social and emotional learning (SEL) instruction for their kindergarten through 5th grade students with social cognition challenges, especially those with high functioning autism spectrum disorders (HF-ASD). Based on comprehensive assessment of students’ SEL strengths and needs, IvySCIP identifies instructional priority areas, generates individualized education plan (IEP) goal recommendations, and enables SEL progress monitoring. In order to begin establishing the psychometric properties of the IvySCIP strengths and needs assessment, we examined correlations between participants’ scores on IvySCIP and their scores on similar tools. As predicted, strong correlations emerged between IvySCIP and other tools. We also examined the impact of using IvySCIP over a 20 week period to facilitate SEL in students with HF-ASD. IvySCIP was piloted with 53 instructor/student pairs broken into two groups. The first group received 20 weeks of access to IvySCIP and the latter received 10 weeks of access. While pilot study outcomes suggested that there were no significant differences between the groups, all students made significant SEL progress over the course of the 20 week study as measured by IvySCIP and similar tools. Social validation surveys indicated that instructors perceived IvySCIP to be innovative, valuable, and an effective means of improving SEL instruction for students.

An innovative engineering curriculum to train next generation water engineers: a successful case study

ABSTRACT Presented here is a novel engineering degree initiative established at Charles Sturt University (CSU), Australia. This program embodies emerging trends and prospects in engineering education, aspiring to nurture adept engineers well-prepared for practical application. Furthermore, this paper delves into the application of this program for training the next generation of water engineers, equipping them with indispensable skills to confront novel challenges. The CSU Engineering program incorporates several attributes commonly found in progressive engineering curricula. It places significance on work-based learning and encompasses an extensive 6000-hour industrial work placement. This emphasizes student self-reflection, engineering design, robust academic leadership, the integration of educational innovation and novel tools for scholastic exploration, and comprehensive student assessment. Gaining robust industry support, the CSU Engineering program garners recognition as an exemplar for future education. The adaptability, professionalism, responsibility, and leadership exhibited by CSU cadets are highly regarded by their industrial partners. Feedback highlights the consistent advancement of cadets' soft skills, spanning teamwork, communication, leadership, community engagement, and interpersonal relations. Notably, CSU cadets receive substantial remuneration from their industrial engagements. Despite the challenges posed by COVID-19 restrictions, the CSU Engineering program continues to operate seamlessly with minimal disruption.

Utilizing Learning Analytics in Radiology: A Pilot Study of an e-Learning Platform in Medical Student Education

Learning analytics is a rapidly advancing scientific field that enables data-driven insights and personalized learning experiences. However, traditional methods for teaching and assessing radiology skills do not provide the data needed to leverage this technology in radiology education. In this paper, we implemented rapmed.net, an interactive radiology e-learning platform designed to utilize learning analytics tools in radiology education. Second-year medical students' pattern recognition skills were evaluated using time to solve a case, dice score, and consensus score, while their interpretation abilities were assessed through multiple-choice questions (MCQs). Assessments were conducted before and after a pulmonary radiology block to examine the learning progress. Our results show that a comprehensive assessment of students'radiological skills using consensus maps, dice scores, time metrics, and MCQs revealed shortcomings traditional MCQs would not have detected. Learning analytics tools allow for a better understanding of students'radiology skills and pave the way for a data-driven educational approach in radiology. As one of the most important skills for physicians across all disciplines, improving radiology education will contribute to better healthcare outcomes.

Digital Empowerment Improving Quality and Efficiency, Innovative Research on Comprehensive Assessment of Students’ Personal Quality from the Perspective of Sharing Mechanism —Take the Design school of Guangdong Mechanical & Electrical Polytechnic as an Example

Digital Empowerment Improving Quality and Efficiency, Innovative Research on Comprehensive Assessment of Students’ Personal Quality from the Perspective of Sharing Mechanism —Take the Design school of Guangdong Mechanical & Electrical Polytechnic as an Example

Использование алгоритма вероятностной нейронной сети для измерения уровня качества образования

The traditional method of determining the quality of education is too unambiguous and unreasonable, which is not suitable for a comprehensive assessment of students' abilities. The purpose of the article is to justify the use of a probabilistic neural network algorithm. Research methods. The reliability of the presented results is ensured by the analysis of scientific literature, modeling of a probabilistic neural network, comparative analysis of models and evaluation of the effectiveness of the model. Research results. In this paper, a probabilistic neural network (PNN) algorithm is used to determine the quality of education by considering the important influence between different student achievements. The PNN algorithm comes from the Bayesian decision rule and uses the nonlinear Gauss Parsen window as a probability density function. Since the PNN model has strong nonlinear and anti-interference properties, it is suitable for determining the quality of education by classifying student achievements. In addition, this article also discusses the impact of various evaluation models on the accuracy and effectiveness of classification. In addition, the influence of the spread value on the PNN model is also discussed. Scope of application. Finally, evidence is used to determine the quality of education. Conclusions. Experimental results show that the detection accuracy can reach 95%, and the detection time is only 0.0156 s based on the proposed method. That is, the method is a very practical detection algorithm with high accuracy and efficiency. In addition, it also contains information on how to further improve the quality of teaching. It is proved that the use of the PNN model makes it possible to accurately classify the achievements of students according to the quality criterion.

Computer Teaching System Based on Internet of Things and Machine Learning

In order to solve the problem that the traditional computer-aided teaching system is affected by communication technology, which leads to the inability to interact between teachers and students, the author proposes a research on a computer teaching system based on the Internet of Things and machine learning. The hardware structure is designed according to the functions of each module of the system, in which the student learning module is composed of a teaching coordination agent and a number of other agents, responsible for the presentation of specific teaching materials, problem solving, knowledge sharing through a collaborative mechanism, and providing personalized teaching basis for the system. The teacher’s teaching module mainly provides students with corresponding teaching strategies according to the learning requirements and uses its own reasoning mechanism to provide intelligent guidance to the problems encountered in the teaching process; the assessment module uses assessment rules to analyze student responses, comprehensive assessment of students’ learning behaviors, attitudes, effects, and abilities. The software function is designed with SQL Server 2000 as the database server, in the case of determining the data attributes, the data online evaluation is carried out, and the distance teaching is completed by combining the network technology. The experimental results show that when the time is 20s, the teaching efficiency of the traditional system is 61%, and the teaching efficiency of the artificial intelligence system is 91%. As a result, the teaching efficiency of the system based on the Internet of Things and machine learning is high, and it can provide equipment support for students’ learning.

Identifying Promising and Talented Students Based on Intellectual System KOMPOS+

The article studies relevant issues of identifying promising and talented students in secondary and higher educational institutions. These issues are as follows: assessing how successfully the curriculum was mastered by a group of students as a whole; finding out who of the students in the group showed the best and the worst results; assessing how well a particular academic discipline is mastered by each student; testing whether a particular student has vocational and personal qualities necessary for future profession; identifying strengths and weaknesses of the future specialist; revealing disadvantages and advantages hidden in the group of students. To solve these problems, it is proposed to use the intellectual system "KOMPOS +" ("Comprehensive assessment of students"). The system allows assessing vocational and personal qualities of senior students and their vocation potential, as well as creating vocational portraits of graduates of educational institutions. The system gives recommendations to ensure graduates’ optimal performance in the market economy. It is proposed to create a bank of promising and talented students and a bank of employers and make them available at offices and departments of educational institutions. This enables to optimally combine graduates’ interest in obtaining jobs and that of employers in attracting promising and talented specialists, which guarantees effective operation of enterprises in the competitive environment.

The practice of introducing an electronic health passport in educational institutions

Introduction. Monitoring of students' health and physical fitness in general educational institutions is an integral part of the educational process, however, it takes much time on the part of teachers and school authorities responsible for collecting and storing information about health. The research relevance is substantiated by the need to preserve and strengthen students' health due to the dependence of the quality of education on the level of students' health and their performance. The research purpose was to test an electronic health passport in educational institutions for a comprehensive assessment of students' health and physical fitness indicators. Materials and methods. More than 600 schoolchildren of three age groups took part in the study: students aged 8-9 (298 students), 12-13 (244 schoolchildren), 15-16 (119 boys and girls) from general educational institutions in Lipetsk. Methods of assessing the morphofunctional state (measurement of body weight and length, blood pressure, heart rate monitoring, health coefficient calculation), the questionnaire method (assessment of school motivation, the study of self-esteem, diagnostics of learning motivation and emotional attitude to learning, the Ladder test) and methods of assessing physical fitness included in the All-Russian Physical Education and Sports Complex "Ready for Labor and Defense" were used. Research results. Significant differences (p<0.05) were determined in indicators of the health coefficient among schoolchildren from three general educational institutions in Lipetsk, and a tendency towards a decrease in the level of students' health from the lower grades to the higher ones was revealed. A decrease in indicators of school motivation and interest in the learning process was found in half of the students of primary school age (13-14 points out of 30 possible ones) and the majority of secondary school students (8-13 points out of 60 possible ones) and senior school students (7-12 points out of 60 possible ones). An insignificant difference (p>0.05) was found in the indicators of physical fitness of schoolchildren with different training profiles. The practice of introducing an automated electronic health passport system made it possible to systematize large amounts of information on various parameters characterizing the students' health and physical fitness in the shortest possible time and to optimize the teachers' work. Conclusion. The authors presented an experience of approbation of an electronic health passport, which made it possible to determine the level of physical, mental health and physical fitness of each student or group of students, formulate recommendations for students, parents and heads of educational institutions, as well as conduct a comparative characteristic of the studied indicators of schoolchildren from various educational institutions.

MCM of Student's Physical Health Based on Mathematical Cone

Abstract The paper uses mathematical-statistics–related methods to conduct an MCM examination of the physical health of all freshmen in a particular university. The study found that taking first-year students as the research object enables the inference that the four primary factors of college students’ physiological structure, physical form, psychological level and athletic ability can form a mathematical vertebral body model. This model can point out a new path for studying students’ physical health and realise a comprehensive assessment of students’ physical health.

IDENTIFICATION OF PHYSICAL FITNESS TESTS FOR BASKETBALL PLAYERS

Aim. The paper aims to study the factor structure of physical fitness in basketball players and identify tests for a qualitative and quantitative assessment of their skills. Materials and methods. The study was conducted from September 2017 to May 2018 at Vyatka State University, Kirov. Fifty-three students were examined, all of them participated in the University Basketball Championship. A theoretical analysis of scientific literature sources and a pedagogical experiment were conducted. Mathematical statistics and pedagogical testing were used as methods. Results. Twelve tests were selected and checked for reliability that influenced most the physical fitness of basketball players in terms of strength, speed, jumping ability. Three hypothetical latent factors were identified that optimally determined the combination of these tests: “jumping ability / speed”, “explosive force/endurance”, and “strength”. Using factor analysis and an intercorrelation matrix, the most informative physical fitness tests were identified: standing vertical jump, 20 m shuttle run, pull-ups, which are used in the educational and training process of basketball players. Conclusion. The data obtained from the pedagogical experiment are of practical interest, primarily for trainers and university teachers. These tests do not require expensive equipment and can be performed in a gym, at the same time being the most informative in a limited time, which is typical for the educational and training process of students. This approach increases the efficiency of classes and optimizes the educational process. A comprehensive assessment of students will make it possible to track their health and physical fitness. Such data will allow adjusting the training process in the most effective way.

An Analysis of Trends in the Assessor’s Practical Use of the Holistic Admission System of School Life Records through AHP

이 연구의 목적은 학생부종합전형 평가에서 서류평가 자료 중 평가위원이 중점적으로 고려하는 전형자료를 확인하여 학생부종합전형의 정성적 평가 경향성을 분석하는데 있다. 이를 위해 전임사정관과 위촉사정관을 대상으로 AHP(Analytic Hierarchy Process) 방법으로 조사하고 자료를 분석하였다. 연구 결과 모든 분석에서 평가위원별, 경력별, 대학유형별로 세부적으로 분석하였을 때는 순위가 다른 경우가 있었지만, 전반적으로 일정한 평가경향성을 확인할 수 있었다. 전반적으로 평가 경향성이 다르다고 보기는 어려웠지만 세부적으로는 다른 경우가 있어서 평가 경향 분석 결과가 입학사정관 교육에 활용되기를 기대한다. 조사 대상 입학사정관들의 소속 대학이 다양함에도 불구하고 평가경향성이 전반적으로 비슷하였다는 점에서 입학사정관의 자의에 따라 평가하기보다는 대체로 일관된 평가기준에 따라 정성적 평가가 이루어지고 있다고 볼 수 있었다. 이는 일부 언론에서 학생부종합전형을 ‘깜깜이 전형’으로 평하며 공정성에 대해 지적하는 데 대한 반박증거로도 활용될 수 있을 것이다. 본 연구에서 학생부종합전형 서류평가의 정성적 평가 과정에서 평가위원들의 평가 경향성에 대한 현상을 파악함으로써 학생부종합전형의 공정성 제고에 이바지할 수 있는 하나의 방안을 모색할 수 있었다. 평가 경향성 분석은 향후 학생부종합전형 평가 결과 공개에 활용할 수 있고 평가경향성 확인을 활용해 지속적으로 입학사정관 교육이 실시된다면 학생부종합전형의 공정성 확보에 기여할 수 있을 것이다.The purpose of this study is to analyze the assessor s tendency to evaluate document in the holistic admission system of student school life records and to provide suggestions on the fairness of in the holistic admission system. To achieve this objective, the survey was conducted on admissions officers using Analytic Hierarchy Process(AHP) method. According to the study, in the first tier, school records and self-introduction books were shown in order. In the area of the school records section of the second tier, it was shown in order of academic grades, club activities, behavioral characteristics, and general opinions. In the self-introduction letter section of the second tier, it was shown in order of academic studies, school activities, and consideration and sharing. In the third tier s award-winning career, it was in order of the content of the award, the number of awards received, and within the course of career exploration and effort, and in the course of career desire uniformity. Within the self-regulated activities, the list was based on the activity contents and the role of the position, and within the club activities, the details of the application department and activities were followed. Within the volunteer work, it was shown in order of volunteer activities, service hours, and within the development situation of teaching and learning, achievement, detailed ability and speciality were shown in order. In the reading activity, the content of the reading and the volume of the reading were shown in order. As the result of this study, Overall, it was difficult to say that the evaluation trend was different, but there were cases in which each member of the survey was different, by experience, and by type of university. In particular, the qualitative assessment is well-evaluated based on a certain standard of assessment and the fairness of the assessment is ensured, given that the survey participants have a similar tendency toward overall evaluation, even though they are admissions officers belonging to various universities. Evaluation trend analysis can be used to disclose the results of a comprehensive student assessment in the future, and will further contribute to ensuring fairness in the assessment.

Main Directions of Higher Education Regionalization Process as an Integral Part of Social Partnership in Society (the Problems of Inclusive Education)

The key problem of current Russian regional economics is a shortage of professionals. The aim of Higher Education Institution of Inclusive Education is to build such a system of social partnership, which would include all structures fascinated in qualified professionals. Education regionalization processes need to be spread to all structures that make up the system of social partnership, so that regional universities’ graduates would strive to work in their home region and in order for them to be able to meet professional standards. Authors concluded that standardization would provide an ability to create comprehensive student assessment that will allow businesses to recruit employees that match their requirements better.

The link between school environments and student academic performance

Healthy school environments are critical for children to learn, play, and grow. Although research focusing specifically on the benefits of green spaces on academic performance is limited, the current research does in fact point to the link between greater amounts of trees on campuses and higher academic performance. We are beginning to develop an understanding of the benefits of trees but only a few comprehensive studies have been performed that measure the effects of trees on academic achievement. We examine the relationship among green spaces, students’ socio-economic factors, and their academic performance by using spatial measurements in geographic information system (GIS).The research study included 219 District of Columbia (D.C.) public schools. School environment measurements (e.g., land cover), school demographic data (e.g., number of students, student teacher ratio and free lunch enrollment), and school performance data (e.g., DC Comprehensive Student Assessment in Mathematics and Reading) were collected and georeferenced. GIS was used to integrate spatially dependent information regarding student and environmental factors with the land cover data.We found that schools with more trees had a higher percentage of proficient or advanced scores in Mathematics and Reading standardized tests after controlling for school size, student teacher ratio, and free lunch enrollment. However, not all types of landscapes have the same beneficial properties. Large expanses of land, “featureless landscapes,” including large areas of campus lawns and athletic fields have negative effects on academic performance. These results may help to guide the decisions made by landscape architects on the basis on evidence when they plan new and renovate existing schools.

Evaluation and Eligibility for Speech-Language Services in Schools

It is critically important that speech-language pathologists understand the difference between educational identification of a speech-language impairment under the Individuals with Disabilities Education Act (IDEA) and the procedures used for a clinical determination of speech or language impairment. The authors review variations in terminology, federal and state regulations, and state, local, and professional guidance. Federal evaluation requirements and examples of differing state requirements are provided along with evidence-based recommendations for comprehensive assessment of students.

БАЛЛЬНО-РЕЙТИНГОВАЯ ОЦЕНКА ВОЕННО-ТЕХНИЧЕСКИХ КОМПЕТЕНЦИЙ СТУДЕНТОВ ФАКУЛЬТЕТА ВОЕННОГО ОБУЧЕНИЯ

The process of comprehensive assessment of students’ skills is an important aspect of higher education. The currently used local four-point assessment system is a flexible system that takes into account many aspects of academic and organizational activities of students. This leads to the research relevance of the existing varieties of the knowledge and skills assessment systems and the possibility of its application to the military training of students. The aim of the article is to develop the rating assessment system to define the students’ competence obtained in the educational process at military department. The research subject is the application of rating assessment technologies, based on statistics study of students’ group current results during one term. As a result, we adjusted the rating assessment system estimating students’ knowledge and skills. The research results prove the possibility of rating system successful application within the military department education. The outcomes of the research can be used for the development of military-technical curriculum.