Attendance Sheets Research Articles

Identification of Digital Signature Patterns Based on The CNN Method at Almas’udiyyah Islamic Boarding School

This study aims to identify digital signature patterns using the Convolutional Neural Network (CNN) method at Al Mas’udiyyah Islamic Boarding School. Digital signatures are an essential form of authentication in electronic transactions. Using MATLAB, we developed a CNN model to classify signatures and evaluate its accuracy. The dataset comprises images of students' signatures. The research stages included collecting 60 signature images for training data and 30 signature images for testing data, which were then acquired using a scanner. The results show that the Convolutional Neural Network method can recognize each signature image with high accuracy during the testing process. Al Mas’udiyyah Islamic Boarding School frequently requires verification processes for administrative purposes, such as signing attendance sheets and documents. With a CNN-based digital signature verification system, the boarding school can ensure the security and authenticity of signatures automatically, reducing the risk of forged signatures and increasing efficiency. The CNN model developed in this study achieved an accuracy of 86% in identifying genuine and forged signatures.

Face Recognition and Authentication using DLIB for Examination Attendance System

Facial recognition technology enables the identification and detection of individuals based on unique facial features. based on various labels such as name, ID number, etc. In this research, a face recognition system for examination attendance is implemented using the DLIB library. Since manual attendance is a tedious and time-consuming task, this research aims to automate the process, thereby increasing the integrity of examinations. The proposed solution reduces the workload of invigilators by eliminating the need to manually take attendance and fill out attendance sheets. The dataset for this research comprises a combination of student images captured by a camera and images from the database. The system utilizes the DLIB library to generate facial encodings, which are then used to identify students in real-time. Upon recognizing a student, the system logs their attendance by recording their name and the current timestamp in a CSV file. DLIB has pre-trained CNN models that can be used forface detection. This ensures accurate and efficient attendance tracking, providing a reliable record of student presence during examinations.

APLIKASI PENGENALAN WAJAH UNTUK ABSENSI PADA SMA DUA MEI CIPUTAT MENGGUNAKAN METODE HAAR-CASCADE CLASSIFIER BERBASIS WEBSITE

The attendance application is one important system that must be possessed by a school in order to manage student attendance data. Some schools still use manual methods for student attendance by using signatures or calling them one by one. Manual attendance is considered inefficient because the risk of losing attendance sheets is very easy and parents cannot monitor whether their child is attending school or not. This is directly felt by SMA Dua Mei Ciputat with the presence of students who left home but did not attend school. Therefore, this research aims to assist teachers and parents in monitoring students to be more disciplined in coming to school by building a face recognition application for attendance using the haar-cascade classifier method based on a website. The haar-cascade classifier method has the advantages of computation in face detection and the local binary pattern histogram algorithm which has good accuracy in face recognition. The results of this research show that the haar-cascade classifier method can be used to create a face recognition application for attendance with fairly good accuracy, namely 100% with 5 attempts with recognition of one face, 100% with 5 attempts with recognition of two faces, and 20% with 5 attempts with recognition of three faces. With these results, the application is only capable of recognizing two faces simultaneously in the attendance process.

Empathy unmasked: the compassion quotient of dental students

BackgroundDespite an empathic doctor patient relationship being of utmost importance to improve health care outcomes, this aspect is scarcely explored in dental students of Pakistan. This primary objective of the present study was to assess the reliability and validity of the Jefferson Scale of Empathy- Health Professions Student (JSE- HPS) version in a sample of Pakistani dental students. The study also compared the differences in empathy levels of dental students studying in different academic years.MethodsThis comparative cross-sectional study was conducted on a sample of 304 students from first to final year from selected 02 private and 02 public dental colleges of Karachi, Pakistan from December 2021- January 2022. The self-administered Jefferson Scale of Empathy- Health Professions Student (JSE-HPS) version was used for data collection. This questionnaire includes 20 items that can be answered on a 7-point Likert scale. After attendance sheets were obtained, random student names were marked, and questionnaire distributed by hand to these students. All forms were collected right after to maximize response rate.ResultsA total of 304 forms with complete data were returned, a response rate of 86.9%. Females (97.79 ± 15 94) were more empathetic than males (94.16 ± 12.13) (p = 0.001). Students of third-year were the most empathetic (p = 0.000). Internal consistency of questionnaire was acceptable (Cronbach’s α- 0.77). Factor analysis revealed factor related to belief that patient’s perspectives improve health outcome had 14 items with factor coefficient > 0.4 contributing to largest proportion of variance (23.15%).ConclusionsOur study shows JSE- HPS to have acceptable internal consistency. Structural validity of the scale evaluated by confirmatory factor analysis reported results that were in concordance to those suggested by developers of this scale. In our study population, like other studies, females were more empathic than males. Third-year dental students were more empathetic than students of other undergraduate years.

Systematic review of adherence to technology-based falls prevention programs for community-dwelling older adults: Reimagining future interventions.

Prevention programs, and specifically exercise, can reduce falls among community-dwelling older adults, but low adherence limits the benefits of effective interventions. Technology may overcome some barriers to improve uptake and engagement in prevention programs, although less is known on adherence for providing them via this delivery mode. We aimed to synthesize evidence for adherence to technology-based falls prevention programs in community-dwelling older adults 60 years and older. We conducted a systematic review following standard guidelines to identify randomized controlled trials for remote delivered (i.e., no or limited in-person sessions) technology-based falls prevention programs for community-dwelling older adults. We searched nine sources using Medical Subject Headings (MeSH) terms and keywords (2007-present). The initial search was conducted in June 2023 and updated in December 2023. We also conducted a forward and backward citation search of included studies. Two reviewers independently conducted screening and study assessment; one author extracted data and a second author confirmed findings. We conducted a random effects meta-analysis for adherence, operationalized as participants' completion of program components, and aimed to conduct meta-regressions to examine factors related to program adherence and the association between adherence and functional mobility. We included 11 studies with 569 intervention participants (average mean age 74.5 years). Studies used a variety of technology, such as apps, exergames, or virtual synchronous classes. Risk of bias was low for eight studies. Five interventions automatically collected data for monitoring and completion of exercise sessions, two studies collected participants' online attendance, and four studies used self-reported diaries or attendance sheets. Studies included some behavior change techniques or strategies alongside the technology. There was substantial variability in the way adherence data were reported. The mean (range) percent of participants who did not complete planned sessions (i.e., dropped out or lost to follow-up) was 14% (0-32%). The pooled estimate of the proportion of participants who were adherent to a technology-based falls prevention program was 0.82 (95% CI 0.68, 0.93) for studies that reported the mean number of completed exercise sessions. Many studies needed to provide access to the internet, training, and/or resources (e.g., tablets) to support participants to take part in the intervention. We were unable to conduct the meta-regression for adherence and functional mobility due to an insufficient number of studies. There were no serious adverse events for studies reporting this information (n = 8). The use of technology may confer some benefits for program delivery and data collection. But better reporting of adherence data is needed, as well as routine integration and measurement of training and skill development to use technology, and behavior change strategies within interventions. There may be an opportunity to rethink or reimagine how technology can be used to support people's adoption and integration of physical activity into daily life routines.

I-CHECKIN@PKB: The acceptance among Politeknik Kota Bharu staff

I-Checkin@PKB has been utilized at Politeknik Kota Bharu (PKB) for nearly six months, replacing the thumbprint attendance monitoring system. With I-Checkin@PKB, users can eliminate the need to wait in line at the centralized terminal for attendance registration, making it more efficient and hygienic. This system helps avoid potential germ transmission through contact with the same terminal, particularly amidst the challenges posed by Covid-19 and viral fever outbreaks. While the management of PKB has received verbal feedback from users, the actual level of user acceptance regarding I-Checkin@PKB remains unknown. Therefore, this study aims to investigate the acceptance level among I-Checkin@PKB users, focusing on perceived ease of use, perceived usefulness, attention to use, and behavioral intention. The study involved 100 respondents selected through random sampling. Utilizing 12 items with a Cronbach Alpha reliability coefficient of α=0.97, representing the constructs, the results indicated a high level of acceptance among users regarding I-Checkin@PKB, including its ease of use, usefulness, attention, and behavioral intention. Furthermore, the positive perceptions among I-Checkin@PKB users are likely to garner continuous support due to its ability to reduce the risk of human error associated with manual methods, such as paper-based attendance sheets. It is crucial to emphasize that while I-Checkin@PKB systems offer numerous benefits, their successful implementation necessitates clear communication, employee training, and consideration of privacy and security concerns to ensure a positive experience for both employees and the organization.

Employee Payment Data Application Design

At first, employees collect attendance support letters containing attendance sheets and permits if not working as well as overtime certificates to the financial administration section, after which the financial administration will calculate salaries first to be submitted to the accounting department. Because employee payroll is still done manually, errors often occur in absenteeism and in calculating salaries given to employees. Then the frequent occurrence of errors in recording reports is also because the payroll is still done manually.
 
 This system is analyzed and designed using descriptive research methods and development techniques using the waterfall method. The programming language used by this system is PHP with XAMPP web server and PHPMyAdmin database. This employee payroll application that has been created can help companies make it easier to record payroll transactions, and archive payroll and attendance reports.

Student Teachers’ Experiences with Classroom Engagement in Large Undergraduate Classes in Selected Public Universities in Uganda

The rapid growth in enrolment in undergraduate teacher training programmes calls for a pedagogical innovation geared towards effective participatory classroom instruction. The purpose of this mixed study was to explore classroom engagement experiences with large classes as lived by student teachers at the selected public universities in Uganda. The level of behavioural, cognitive, emotional and agentic engagement among student teachers was investigated, as well as their experiences with these domains. Consequently, data from hermeneutical phenomenological and crosssectional survey design was triangulated. Proportionate random sampling was used to select 396 student teachers and purposive sampling was used to select nine focus groups from the selected public universities. Manifest content analysis was used to describe and infer meaning from participants’ statements. According to the mean and standard deviation ratings, large classes performed unsatisfactorily in terms of overall classroom engagement (M=3.4, SD=0.9) and agentic engagement (M=2.7, SD=1.0). However, they acknowledged being behaviourally, emotionally and cognitively engaged (M=3.6, SD=0.8; M=3.6, SD=0.9; M=3.8, SD=0.8). Focus group narratives revealed inadequate class support, incivility, social presence and interaction, passivity and discomfort experiences as key themes that influenced the participants’ engagement levels. They felt less in control of their learning experiences and had limited opportunities to make decisions that affected their learning outcomes. Social and academic responsibilities like signing attendance sheets, taking notes and meeting with friends significantly maintained class attendance. It was recommended to improve the training of lecturers in effective engagement techniques for large undergraduate classes, and universities to invest resources in providing textbooks, reference materials and digital technologies to facilitate constructive learning and classroom participation.

Development of an Employee Attendance System Using Face Recognition and QR-Code Technology

Abstract: The procedure of recording attendance at any organization, including polytechnics and other institutions, is crucial to demonstrating why a particular employee is exceptional. Traditional attendance management systems, which use attendance sheets and signatures, have shown to have some associated issues, including time wastage, impersonation, and attendance sheet misplacement, making the system wasteful and unproductive. Appraising Non-academic staff in Yaba College of Technology has been a great challenge due to the aforementioned problem confronting the management to properly monitored the attendance system put in place with the traditional methods. To solve these problems, the study developed a computerized attendance system that implements face recognition and QR-code was designed and implemented using python programming language, MySQL server database, Tkinter framework was used to build the interface and Open Camera Vision (OpenCV) library. The algorithms for face detection and recognition include Haar cascasde algorithm and Local Binary Pattern Histogram (LBPH) algorithm respectively. The system is equipped with the capability to send instant email attendance reports to the management on daily, weekly or monthly basis. The result findings shows that there was 98.8% detection and recognition rates and 0.12% errors encountered for both face and QR-code. The highest read time was also measured to be 210.30ms. The result finding from our test shows the efficiency and effectiveness of the attendance system and it is therefore recommended for use in Yaba College of Technology for attendance monitoring of Non-academic staff for onward appraisal by the HOD, Dean and the college management.

STUDENT ATTENDANCE APPLICATION

Student attendance Application deals with the student’s attendance details. It is generating the attendance of the student on basis of presence in class. It is maintained on the daily basis of their attendance. the staffs will be provided with the separate username password to make the student’s status. The staffs handling the particular subjects responsible to make the attendance for all students. Only if the student present on that particular period, the attendance will be calculated and the absent student notification will be sent to their parents via pre-recorded message and voice call. The student’s attendance reports based on weekly and monthly will be generated. It is a cross platform mobile application where teacher can mark attendance of student virtually and no need to carry attendance book every time to keep the record. This application takes multiple parameters into consideration. This application also has the functionality to generate the attendance sheets in excel format to the instructor. The students attendance reports based on weekly and consolidate will be generated. The application is aimed to save class time at no extra cost of purchasing any special peripheral devices. Keywords: Mobile application, Student attendance and mark management system, API,, Paperless Office, Attendance Management.

Correctional English as a second language literacy for male Latino parents

AbstractThis qualitative study examines Latino Spanish‐speaking inmates' participation in an English literacy project. The research questions were: What is the impact of the project on the participants’ literacy development? How does a Latino literacy project for Spanish‐speaking inmates facilitate parent engagement? Data collection included qualitative questionnaires, participant journal entries, attendance sheets, field notes, and interviews with male inmate parents. This study provides adult educators working with inmates a closer look at the impact of culturally relevant programs and supports the need to offer diverse programs for Spanish‐speaking inmates.

Utilizing beacon technology for the development of a smart attendance system

Tracking students’ attendance is part of academic cycles, however, academic staff members become overwhelmed by applying traditional methods for recording this. The dominant method of recording attendance is traditional methods such as calling students’ names and passing attendance sheets. These methods raise some concerns such as being time-consuming, spreading Coronavirus by sharing the attendance sheet, and other issues. The introduced and implemented solutions in the literature are rather expensive, time-consuming, lack accuracy, or require a long process to record the attendance. In this project, we aim to investigate the use of Bluetooth Low Energy (BLE) beacons at the main campus of Tabuk University to build a smart attendance system called the UTSA system. This system will help to overcome the raised concerns of applying the traditional methods for recording student attendance. Three interactive HTML prototypes were developed and examined using a heuristic evaluation methodology. The third proposed prototype, the instructor web-based system, was the most pleasing prototype by most evaluators compared to the two prototypes of the mobile app. All of the evaluators agreed that the current attendance system at Tabuk University is time-consuming and vulnerable to human errors during the transference of attendees from the attendance sheets to the online attendance system. The proposed system of this work provides an accurate and affordable method for signing in the students' attendance as it is going to be done using two steps for recording the attendance: Students mobile attendance broadcasting and academic staff verification process using the proposed app. Moreover, no additional equipment needs to be installed to apply the proposed solution as it used the students and the academic staff members mobile phones.

Face-App: A real-time face recognition e-attendance system for digital learning

Attendance is essential for every organization e.g., schools, colleges, universities, and companies. It is exhausting taking attendance in every period. General attendance management system in any organization is a very long process as well as time-consuming, which can piss students/staff off. Nowadays, biometric attendance systems are also accessible. This system may offer various advantages to enterprises, however also has many drawbacks; time-consuming, costs, data breaches, false positives and inaccuracy, no remote access, and many more. This paper deals with the process of taking the attendance using a face recorded camera and Face-App software tool will be complete the further attendance makes the process for staffs and students in an easy and simple manner within a short time. This proposed system (Face-App) uses face detection for the identification of faces from objects (e.g., students and staff), and a face recognizer for matching the faces from stored database images (authentication), and marks attendance according to the matched face images. Face-App system, which can be, controlled using mobile or computer according to requirements. Automated systems help to reduce the need for manual labor and can correct errors on attendance sheets.

A FINGERPRINT BASED STUDENTS ATTENDANCE MANAGEMENT SYSTEM FOR OLABISI ONABANJO UNIVERSITY

The development of attendance was motivated by the necessity to keep track of who was there in a certain location at any given moment for future reference. Attendance is defined as the awareness of persons present at a specific location at a specific time for a previously scheduled event. Keeping and managing attendance records efficiently is critical for student evaluation. All formal institutions of learning place a high value on class attendance, which is so important that students who do not reach the class attendance threshold are not allowed to appear for exams. Traditional attendance marking techniques are prone to human error and time demanding for both students and lecturers during class. The old attendance system has various drawbacks, including lost attendance sheets, impersonation, time waste, insecurity, and lack of precision. As a result, by utilizing the unique qualities of fingerprint technology, a smart solution to the challenges connected with the traditional attendance system is required. As a result, the article devised, designed, and deployed a fingerprint-based attendance management system for students. The system's development model was the Software Development Life Cycle (SDLC). To record and verify students' fingerprints, a digital persona fingerprint scanner was utilized, and the Graphical User Interface (GUI) was created using the window forms application of the Visual Studio Integrated Development Environment (IDE). The back-end design was created using the C# programming language and the Structure Query Language (SQL) server. The system's logic was implemented in C#, and the SQL server was utilized as the

Towards Efficient Monitoring of Online Distance Learning with Google Meet Intelligent Attendance (GMiA2021)

The use of Google Meet has grown since the Covid-19 pandemic hits the world. Google Meet is an effective platform for delivering online education. Currently, Google Meet attendance sheets are only available through ‘G Suite Enterprise for Education’, requiring a subscription fee. For other user types, the Google Meet attendance extension is a good alternative. However, it comes with several disadvantages, including the inability to identify absent students and summarise the monthly attendance of students. As a solution, Google Meet Intelligent Attendance (GMiA2021) was developed, which includes a more systematic and easy-to-use multi-functional coordination and help track student absenteeism. This intelligent attendance system can connect directly to WhatsApp to remind students of class absences. GMiA2021 also allows lecturers to keep proof of absence and documents provided by the students and prepare monthly attendance reports, in line with academic rules to enable students with 80% attendance to sit for the examination. GMiA2021 is expected to help efficient monitoring of the student’s attendance and collaborations with university academic administration for a systematic attendance system.

In Praise of Ordinary Measures: The Present Limits and Future Possibilities of Educational Accountability

AbstractState and federal policymakers “see” school performance via formal measures — data collected with attendance sheets and standardized tests. Such an approach, though not without its merits, is extremely limited and inherently exposed to the threat of systematic misperception and unintended consequences, especially as policymakers try to use data to leverage on‐the‐ground change. In this essay, Jack Schneider and Derek Gottlieb discuss the limitations of present accountability systems and advocate for the inclusion of what they call “ordinary measures.” Long positioned as inferior to their formal counterparts, such measures offer much to clarify the picture of schools that good governance depends on. According to Schneider and Gottlieb, using ordinary measures, paired with deliberative evaluation processes, will improve the validity and utility of educational accountability systems.

GÜÇLÜ YÖN TEMELLİ YAKLAŞIM ve DEVAM AKADEMİK BAŞARI ve YABANCI DİL ÖĞRENME MOTİVASYONU ÜZERİNDEKİ ETKİSİ

The purpose of this study is to examine the effect of Strengths Based Approach (SBA) on attendance, academic achievement and student motivation in English class. For this purpose, an experimental study was carried out with freshman students at a state university in Turkey in the spring term of 2011-2012 academic year. The sampling of the study consisted of 66 students in total, 33 students in experimental group and 33 students in control group. Pretest posttest quasi-experimental design with a control group was used in the study. Clifton StrengthsfinderTM was used to determine the talent themes of students. The data on the motivation levels of students were obtained through the motivation scale, which was adapted from Attitude/Motivation Test Battery developed by Gardner (1985). The data regarding the attendance percentages of students in English class were obtained from attendance sheets taken by the researcher weekly. Students’ exam scores in mid-term and final exams administered by the researcher in both terms were taken into consideration for the academic achievement of students. The study indicated that the most frequently encountered talent themes were restorative (f=16), responsibility (f=11), deliberative (f=9), ideation (f=9) and learner (f=9) respectively. Also, SBA affected the attendance rates of students positively in favour of experimental group; however, it didn’t have a significant effect on students’ academic achievement and motivation levels. It is considered important to study SBA, which is a fairly new area of study for both the world and Turkey.

Implementation evaluation of a professional development program for comprehensive school physical activity leaders.

The purpose of this study was to conduct an implementation monitoring evaluation of a yearlong comprehensive school physical activity program (CSPAP) professional development program across eight multi-state physical education (PE) teacher cohorts. Mixed-method data were collected during a three-year implementation period via workshop attendance sheets and evaluations, post-workshop implementation plans and artifacts, and follow-up phone interviews to enumerate and evaluate the program’s process of recruitment, reach, dose delivered, dose received, fidelity, and context. Recruitment strategies reached a total of 234 PE teacher attendees across eight workshops, with 77 PE teachers (primarily female, elementary, public school teachers) completing all program requirements. Facilitators among full program completers were participation incentives and network opportunities, while common inhibitors were difficulty with online technology and perceptions of added workload. Completers submitted implementation plans with at least three action steps, ranging from 4 to 7 months to accomplish, that predominately commenced with securing administration approval as the first step (81%), focused on implementing student physical activity initiatives beyond PE (76%), and evidenced with mostly picture artifacts (78%). Implementation was facilitated by the presence of multilevel support at school and an elevated image of PE and PE teachers at school, and was inhibited by scheduling constraints, unrealistic planning, and conflicting perceptions of physical activity and PE. Overall, this evaluation reveals unique perspectives of PE teachers regarding schoolwide PA promotion and informs future efforts to target and effectively support CSPAP leaders.

The Rohingya Little Local: exploring innovative models of refugee engagement in Sydney, Australia

The Rohingya community living in the City of Canterbury-Bankstown in Sydney have been identified as a priority population with complex health needs. As part of ongoing work, AU$10000 was provided to the community to address important, self-determined, health priorities through the Can Get Health in Canterbury program. Program staff worked with community members to support the planning and implementation of two community-led events: a soccer (football) tournament and a picnic day. This paper explores the potential for this funding model and the effect of the project on both the community and health services. Data were qualitatively analysed using a range of data sources within the project. These included, attendance sheets, meeting minutes, qualitative field notes, staff reflections and transcripts of focus group and individual discussions. This analysis identified that the project: (1) enabled community empowerment and collective control over funding decisions relating to their health; (2) supported social connection among the Australian Rohingya community; (3) built capacity in the community welfare organisation -Burmese Rohingya Community Australia; and (4) enabled reflective practice and learnings. This paper presents an innovative model for engaging with refugee communities. Although this project was a pilot in the Canterbury community, it provides knowledge and learnings on the engagement of refugee communities with the health system in Australia.

GOOGLE MAPS AND MAPBOX API PERFORMANCE ANALYSIS ON ANDROID-BASED LECTURE ATTENDANCE APPLICATION

Attendance is an inseparable component from lectures. The current manual attendance process still has its weaknesses, such as the loss or broken attendance sheets, the easiness to conduct fraud on the attendance sheets, and other cases. The attendance system using fingerprint devices are also not available in other locations yet, such as lectures that are done on the field or outdoor, where fingerprint devices are not available. Because of that, an online lecture attendance system that makes use of Android-based smartphones is developed in order to tackle the problem. This online lecture attendance system has the main feature of recording students’ attendances in a radius of 300 metres from the lecturer. This application is named Lecture Attendance System is developed using Rapid Application Development (RAD) model, because it is an effective method to minimise errors in the application. There are two testing performed to the application. The first testing was functional testing of the application. This testing was carried out in order to make sure that all functionalities and features are performing well. The second testing carried out is the distance accuracy testing, to compare between the Google Maps and MapBox API distances. From this testing, it was found that the error percentage using Google Maps is 9.250% and 12.128% for MapBox. From these results, they show that in calculating the distance, using Google Maps API has higher accuracy compared to the MapBox API.