Design and Implementation of Speaking English Exam System Based on C/S

This paper analyzes current status of teachers＇ speaking test, applies presently mature C/S system structure and oilers a network way for teachers＇ speaking exam. We provide the whole process of design and development in online speaking exam, illustrate several functional designs including item bank construction, auto-generating examination paper and test paper analysis and discuss various network programming development technology during teachers＇ speaking network examination intensively. Directed by software engineering theory, the system is finally designed and realized through feasible research, requirement analysis, general design, detailed design, and tests with popular system development language and powerful database management.

Building a Smart Management System for the Field Training Course at the Faculty of Specific Education-Mansoura University

Field training is the backbone of the teacher-preparation process.Its importance stems from the goals that colleges of education aim to achieve,which include bridging the gap between theory and practice and aligning with contemporary educational trends during teacher training.Currently,trainee students attendance in field training is recordedmanually through signatures on attendance sheets.However,thismethod is prone to impersonation,time wastage,and misplacement.Additionally,traditional methods of evaluating trainee students are often susceptible to human errors during the evaluation and scoring processes.Field training also lacks modern technology that the supervisor can use in case of his absence from school to monitor the trainee students’implementation of the required activities and tasks.These shortcomings do not meet the needs of the digital era that universities are currently experiencing.As a result,this paper presents a smart management system for field training based on Internet of Things(IoT)and mobile technology.It includes three subsystems:attendance,monitoring,and evaluation.The attendance subsystem uses an R307 fingerprint sensor to record trainee students’attendance.The Arduino Nano microcontroller transmits attendance data to the proposed Android application via an ESP-12F Wi-Fi module,which then forwards it to the Firebase database for storage.The monitoring subsystem utilizes Global Positioning System(GPS)technology to continually track trainee students’locations,ensuring they remain at the school during training.It also enables remote communication between trainee students and supervisors via audio,video,or text by integrating video call and chat technologies.The evaluation subsystem is based on three items:an online exam,attendance,and implementation of required activities and tasks.Experimental results have demonstrated the accuracy and efficiency of the proposed management system in recording attendance,as well as in monitoring and evaluating trainee students during field traiing.

Subtle skills: Using objective structured clinical examinations to assess gastroenterology fellow performance in system based practice milestones

BACKGROUND System based practice(SBP) milestones require trainees to effectively navigate the larger health care system for optimal patient care. In gastroenterology training programs, the assessment of SBP is difficult due to high volume, high acuity inpatient care, as well as inconsistent direct supervision. Nevertheless,structured assessment is required for training programs. We hypothesized that objective structured clinical examination(OSCE) would be an effective tool for assessment of SBP.AIM To develop a novel method for SBP milestone assessment of gastroenterology fellows using the OSCE.METHODS For this observational study, we created 4 OSCE stations: Counseling an impaired colleague, handoff after overnight call, a feeding tube placement discussion, and giving feedback to a medical student on a progress note. Twentysix first year fellows from 7 programs participated. All fellows encountered identical case presentations. Checklists were completed by trained standardized patients who interacted with each fellow participant. A report with individual and composite scores was generated and forwarded to program directors to utilize in formative assessment. Fellows also received immediate feedback from a faculty observer and completed a post-session program evaluation survey.RESULTS Survey response rate was 100%. The average composite score across SBP milestones for all cases were 6.22(SBP1), 4.34(SBP2), 3.35(SBP3), and 6.42(SBP4)out of 9. The lowest composite score was in SBP 3, which asks fellows to advocate for cost effective care. This highest score was in patient care 2, which asks fellows to develop comprehensive management plans. Discrepancies were identified between the fellows’ perceived performance in their self-assessments and Standardized Patient checklist evaluations for each case. Eighty-seven percent of fellows agreed that OSCEs are an important component of their clinical training,and 83% stated that the cases were similar to actual clinical encounters. All participating fellows stated that the immediate feedback was "very useful." One hundred percent of the fellows stated they would incorporate OSCE learning into their clinical practice.CONCLUSION OSCEs may be used for standardized evaluation of SBP milestones. Trainees scored lower on SBP milestones than other more concrete milestones. Training programs should consider OSCEs for assessment of SBP.

Novel Solution Based on Face Recognition to Address Identity Theft and Cheating in Online Examination Systems

The main objective of this research is to provide a solution for online exam systems by using face recognition to authenticate learners for attending an online exam. More importantly, the system continuously (with short time intervals), checks for learner identity during the whole exam period to ensure that the learner who started the exam is the same one who continued until the end and prevent the possibility of cheating by looking at adjacent PC or reading from an external paper. The system will issue an early warning to the learners if suspicious behavior has been noticed by the system. The proposed system has been presented to eight e-learning instructors and experts in addition to 32 students to gather feedback and to study the impact and the benefit of such system in e-learning environment.

ISHD:Intelligent Standing Human Detection of Video Surveillance for the Smart Examination Environment

In the environment of smart examination rooms, it is important to quickly and accurately detect abnormal behavior(human standing) for the construction of a smart campus. Based on deep learning, we propose an intelligentstanding human detection (ISHD) method based on an improved single shot multibox detector to detect thetarget of standing human posture in the scene frame of exam room video surveillance at a specific examinationstage. ISHD combines the MobileNet network in a single shot multibox detector network, improves the posturefeature extractor of a standing person, merges prior knowledge, and introduces transfer learning in the trainingstrategy, which greatly reduces the computation amount, improves the detection accuracy, and reduces the trainingdifficulty. The experiment proves that the model proposed in this paper has a better detection ability for the smalland medium-sized standing human body posture in video test scenes on the EMV-2 dataset.

Compliance of Magnetic Resonance Imaging Examination Requests at the Diagnostic Center of the National Social Security Fund of Conakry

Introduction: MRI is a rapidly growing technique with more and more indica-tions and requests in the Republic of Guinea. Its correct prescription is a guar-antee for the satisfaction of the actors, both prescribers, radiologists and pa-tients. The main objective of this study was to evaluate the compliance of MRI examination requests at the Diagnostic Center of the National Social Se-curity Fund (CNSS) in Conakry. Material and Methods: This was a descriptive cross-sectional study of MRI prescription forms sent to the MRI unit of the CNSS Diagnostic Center from February 1 to May 1, 2021. The 8 compliance criteria established by the French High Authority for Health were used to evaluate the compliance of the examination requests. Results: A total of 7003 examination forms were sent to the facility, including 7% (n = 468) of MRIs. 56.2% of MRI requests were performed by specialists. We observed an overall compliance of 10%. Administrative and clinical compliance were missing in 24% and 38%, respectively. More specifically, the purpose of the examination was not mentioned in 60%, followed by the requesting department in 48.1% and the patient’s age in 35.1%. Conclusion: This study allowed us to highlight the gaps in establishing MRI requests. It would be important to organize an awareness campaign for prescribers on the usefulness of correctly filling an MRI request and to design templates to be filled out by prescribers.

Formation of an Original Database and Development of Innovative Deep Learning Algorithms for Detecting Face Impersonation in Online Exams

The issue related to the risk of identity impersonation, where one person can be replaced by another in online exam surveillance systems, poses challenges. This study focuses on the effectiveness of detecting attempts of identity impersonation through face substitution during online exams, with the aim of ensuring the integrity of assessments. The goal is to develop facial recognition algorithms capable of precisely detecting these impersonations, training them on a tailored database rather than biased generic data. An original database of student faces has been created. An algorithm leveraging advanced deep learning techniques such as depthwise separable convolution has been developed and evaluated on this database. We achieved very high levels of precision, reaching an accuracy rate of 98% in face detection and recognition.

数字化转型背景下大规模考试机考体系的构建

数字化转型是教育考试顺应时代发展的必由之路,机考以其独特的优势成为大规模考试数字化转型的有效途径。专业考试机构应该结合人工智能、大数据等先进技术,深入探索大规模考试机考的实施策略,利用现代信息技术搭建大规模考试机考体系,改进命题工作方式,提高组考工作效率,优化考试智能评分系统,提升考试评价价值。同时,积极破解数字化转型中机考的数据安全、技术保障、试卷等值等难题,提升大规模考试综合管理的质效,以满足现代考试的需要。

Reducing Test Anxiety while Increasing Learning Efficiency:by Using Cheat Sheet in the College English Exam

Cheat sheets are so named because they may be used by students without the instructor's knowledge to cheat on a test.Student learning is greatly enhanced by studying prior to an exam.Allowing students to prepare a cheat sheet for the exam helps structure this study time and deepens learning.The crib sheet is well defined:one double-sided page of A4.An award for the best and most creative cheat sheet allows the instructor to appreciate the students' efforts.Using the cheat sheet can not only reduces student anxiety during testing but also incease student learning efficiency.

Web环境下基于项目反应理论的自适应考试系统研究与设计

本文在Web环境下基于项目反应理论(IRT)设计并实现了一种自适应考试系统。通过独创的试题抽取算法,该系统能够根据考生能力动态调整试题难度,从而提高考试的准确性和效率。研究比较了传统考试与基于IRT的自适应考试系统,结果表明后者能够更精确地评估考生能力。此研究不仅引入了新型考试模式,也为教育评估领域的发展提供了新的视角和参考。

智慧化物联网技术在中考体育测试中的应用与成绩分析

调查报告表明,青少年的近视和肥胖问题仍然凸显。为鼓励青少年增加锻炼时间,提升体质,教育部提出将体育成绩纳入中考。这一措施引发了关于考试公平性和成绩评定的讨论。为此,该文提出了一种基于智慧化物联网技术的中考体育测试系统,包括严格的考试流程、明确的自动评分标准、数据安全验证与保障、成绩复议机制以及全面的监督措施。在2023年的某区中考体测中,这一系统的成功应用将考生申诉率从2022年的2%降至2023年的0.2%。同时,测试效率也由原来的每天8 h测试700人提升至每天6 h测试900人。通过分析采集到的考试成绩数据,该文概述了该区2023年中考体育成绩现状。通过引入支持物联网的智能化体测系统,有效解决了中考体育测试面临的多个问题,提高了体测的公平性和效率,以及学生满意度。

暴露分析模拟系统(EXAMS)及其应用

本文介绍了暴露分析模拟系统(EXAMS)的基本内容,并对其在基础研究、化学品环境风险评价及实际水环境中有机污染物研究等方面的应用作了综述。

A Validation Pilot Study Comparing Telemedicine Images to a Face-to-Face Airway Exam for Conducting the Anesthesia Preoperative Airway Evaluation

Telemedicine is a branch of healthcare that uses communication technology to deliver medical information and services between patients and healthcare providers. The applicability of telemedicine is vast and increasingly relevant. There is a lack of research on utilizing telemedicine for remote evaluation of the airway. The primary aim of this pilot study was to validate a telemedical airway exam as a viable alternative to an in-person evaluation. Three anesthesiologists evaluated 48 volunteers by telemedicine and live examination. The telemedical exam consisted of transmitting still images of four established, predictive parameters of difficult airways: Mallampati score;neck extension;ability to prognath;and thyromental distance. Each subject’s telemedical and face-to-face scores were compared to determine their degree of correlation. Still images were taken using standardized positioning with four pictures of mouth opening, neck extension, prognath, and thyromental distance. Data were analyzed using Wilcoxon signed-rank tests and free-marginal multirater kappa analysis. Average respective scores for live versus telemedicine examination were as follows: Mallampati scores were 1.73 versus 2.54;neck extension scores were 3.77 versus 3.60;thyromental distance (measured in finger breadths) was 2.95 versus 2.92;and prognath scores were 0.97 versus 0.94. There was no difference in grading of thyromental distance or prognathy ability between live and telemedical exams, and interrater reliability was very good for both parameters. This study supports telemedicine as a reliable tool for preoperative anesthesia airway exams to identify airway difficulties. This may be especially useful as an alternative in patients with COVID-19 undergoing urgent surgery.

Speak of Student's Study and Exam

This paper briefly discusses the causes which have led to the present situation ,most of the students study only for the exam itself,regard their grades in the exam as their lifeblood ,and the attitude towards study and exam at all levels of education .

On College English Final Exams Within a University

This paper discusses the importance of a well-written college English final exam within a university at the end of each semester, the directive function of such an exam, the valuable informative feedback of the detailed scores, the necessity and importance of informing students of the general format of the exam and types of items as early as possible. It also deals with the importance of formative evaluation, the functions of regular scores, problems in retests that test-makers should pay attention to and the different organizations of test-makers.

Predictors of Retention and Passing the National Council Licensure Examination for Registered Nurses

Using Seidman’s retention formula as a theoretical foundation, this study investigated historical data from a Bachelor of Science (BSN) nursing program to determine whether the admission variables of the preprogram grade point averages (GPA), American College Testing (ACT) scores, anatomy and physiology course grades, and/or the Health Education System Inc. (HESI) Exit Exam scores could predict completing the nursing program, as well as passing the NCLEX-RN. A significant relationship (p < 0.01) was identified between the preprogram GPA, ACT scores, anatomy grades, and the HESI Exit Exam scores with the completion of the BSN program and passing the NCLEX-RN.

Factors Affecting Students’Plans to Take the CPA Examination

Enrollments in accounting programs and the demand for accounting graduates are increasing,but the number of candidates sitting for the CPA exam is decreasing.This study compares characteristics of students at a mid-size regional university who plan to sit for the CPA exam with those who do not.In addition,reasons offered by students for their plans to take or not take the CPA exam are explored.The study finds that a student’s desired career path,as well as their mother’s educational level,is significantly related to their intention to sit for the exam.Career alignment or misalignments were the primary factors shaping a student’s plan to sit for the CPA exam.The proportion of students intending to sit for the CPA exam decreases with class level,and the majority of students intend to work outside of public accounting.This study will be of interest to the profession and public as the decline in CPA examination candidates coincides with a higher than average percentage of CPAs projected to retire in the next three years.

多媒体网络平台助力基础医学考试模式的探索

医学本科教学改革除了课堂上教学方式改革以外,考试模式改革也很重要。在实际考试过程中,传统的考试模式致使教师无法捕捉教学效果,同时也降低学生的学习兴趣。目前,互联网及计算机技术飞速发展,多样化的网络考试平台可为多种教学评价提供高效的技术支持。文章旨在探讨如何改进医学本科生基础医学课程的考核评价环节,借助互联网发展的大趋势,将考核评价与网络考试平台有机融合,有效推进基础医学课程的考核评价改革。

Mobile Based Learning and Examination: Students and Instructors Perceptions from Different Arab Countries

The online education market is expanding both globally and locally;Arab countries are paying special attention to the growth of this sector. Reports showed that the e-learning market arrived at $27.1 billion in the year 2009 and is expected to surpass $49.6 billion by the year 2014. This paper presents and surveys the perception of students and instructors regarding mobile learning and mobile examination system in some Arab countries. Many universities in the Arab world are under progress in the implementation of this new technology and many have already implemented it. Strong tools are required to improve e-learning system of education. This research supports the transition of education from conventional methods to m-learning and m-exam systems. The purpose of this research is to study the perception of both instructors and students regarding mobile learning and mobile examination systems. The introduction of such systems to the educational process requires people involved to have basic technical skills and to be aware of the benefits of such systems. Results showed different perspectives from three countries;also showed that online examination systems could be very helpful, but many factors should be considered and they should be implemented carefully to guarantee the successful adoption, fairness and reliability.

Toward Developing a Syllabus-Oriented Computer-Based Question-Banks Software to Support Partially Computerized Exams

Aims: This study aims at designing and implementing syllabus-oriented question-bank system that is capable of producing paper-based exams with multiple forms along with answer keys. The developed software tool is named Χ(Chi)-Pro Milestone and supports four types of questions, namely: Multiple-choice, True/False, Short-Answer and Free-Response Essay questions. The study is motivated by the fact that student number in schools and universities is continuously growing at high, non-linear, and uncontrolled rates. This growth, however, is not accompanied by an equivalent growth of educational resources (mainly: instructors, classrooms, and labs). A direct result of this situation is having relatively large number of students in each classroom. It is observed that providing and using online-examining systems could be intractable and expensive. As an alternative, paper-based exams can be used. One main issue is that manually produced paper-based exams are of low quality because of some human factors such as instability and relatively narrow range of topics [1]. Further, it is observed that instructors usually need to spend a lot of time and energy in composing paper-based exams with multiple forms. Therefore, the use of computers for automatic production of paper-based exams from question banks is becoming more and more important. Methodology: The design and evaluation of X-Pro Milestone are done by considering a basic set of design principles that are based on a list of identified Functional and Non-Functional Requirements. Deriving those requirements is made possible by developing X-Pro Milestone using the Iterative and Incremental model from software engineering domain. Results: We demonstrate that X-Pro Milestone has a number of excellent characteristics compared to the exam-preparation and question banks tools available in market. Some of these characteristics are: ease of use and operation, user-friendly interface and good usability, high security and protection of the question bank-items, high stability, and reliability. Further, X-Pro Milestone makes initiating, maintaining and archiving Question-Banks and produced exams possible. Putting X-Pro Milestone into real use has showed that X-Pro Milestone is easy to be learned and effectively used. We demonstrate that X-Pro Milestone is a cost-effective alternative to online examining systems with more and richer features and with low infrastructure requirements.