Lecture Schedule Research Articles

Instructor Methods and Curricular Effects on Students' Value of Lectures.

BackgroundLectures remain a common instructional method in medical education. Instructor methods, curricular factors, and technology affect students’ use of scheduled live lectures that may impact faculty job satisfaction.AimThis study identified instructor methods and curriculum issues that influenced preclinical medical students’ use of scheduled lectures as well as faculty perceptions of lectures and students’ attendance.MethodsFirst- and second-year osteopathic medical students (n = 304) were invited to complete a voluntary, anonymous semantic differential scale, Likert scale, and dichotomous question survey, rating 22 lecturer methods and 9 curriculum factors that influence use of live lectures. Preclinical faculty (n = 35) were also asked to complete a differential scale survey, rating 17 issues regarding live lectures and student attendance. Student and faculty surveys were analyzed using the appropriate central tendency and variability measures.ResultsStudents that completed the survey (n = 144) rated the ability to explain complex concepts in an understandable manner as “Very Important” and wearing professional attire as “Not Important” for attending lectures, respectively. Availability of recorded lectures, time to an upcoming exam, and unscheduled time gaps between lectures were rated as Very Important curricular factors for attending lectures. Faculty completed the survey (n = 21) and agree that lectures should continue as a major mode of instruction, while the majority reported spending over 9 h preparing new lectures.ConclusionsFaculty lecture methods and overarching curricular decisions greatly impact students’ attendance of live lectures. Regardless, most students and faculty believe that scheduled lectures should continue as an option for students who prefer to attend live lectures.

Implementation of the Ant Colony System Algorithm in the Lecture Scheduling Process

Scheduling lectures using the ant algorithm is able to provide alternative solutions for scheduling lectures that want a certain time optimally. In this research, the method used is literature study. This literature study was carried out by reading books and literature related to scheduling and ant algorithms. In addition to using literature studies, researchers also use field studies. This is intended to get a true picture of the state of the institution by observing directly at the institution, by means of observation or data collection methods by conducting interviews on the parts involved in the process of preparing the class schedule. From the results of the analysis obtained: scheduling lectures using the ant algorithm is able to provide solutions in scheduling. The ant algorithm can be applied to create a class schedule with optimal results, the ant algorithm is able to provide solutions in the preparation of a lecture schedule that requires a certain time.

X Meeting of The Latin American Society of Tuberculosis and other Mycobacteriosis (SLAM-TB)

On behalf of the Mexican Society of Immunology (SMI), and the Latin-American Society of Tuberculosis and other Mycobacteriosis (SLAM-TB), it is a pleasure to invite and welcome you to the XXIV Congress of SMI and X Meeting of the SLAM-TB, which in this occasion and for the first time both Conferences will be virtual events. Monterrey city in the Northeast of Mexico was the original place where both Conferences should be held the last year, but due to the COVID-19 pandemic it was not possible and now both Congresses will be virtual meetings. Both Scientific Program Committees have organized an outstanding schedule of lectures and symposia that will provide you with the fundamental knowledge and the most recent advances in mycobacteriology and immunity in health and disease. Due to the solidarity and enthusiasm of our invited speakers, the new program is quite similar to the original one and in the case of the Mexican Congress of Immunology it was substantially improved by the participation of Dr. Buchner and Dr. Doherty, both Medicine Nobel Prize awarded scientists. Besides the integration of new symposiums of high relevance topics organized by colleagues with high academic profile and prestige.SLAMTB congregate a wide group of Latin-American microbiologists, molecular biologists, epidemiologists, immunologists and other researchers interested in the study of Mycobacterium tuberculosis and other related pathogens. SLAM-TB was founded in 2006 in Pucón Chile and its most important academical activity is this Meeting, in which numerous and active researchers in this field from diverse countries present and discuss their recent results, also well-known excellent researchers dictate conferences on the most relevant topics about tuberculosis.

Time Management Experience for 1st Year Students of the Faculty of Medicine

Rīga Stradiņš University (RSU) has almost 70-year-experience in implementing health care and 20-year-experience social science studies. RSU has more than 9000 students, 26% of whom are international students. Beginning of studies at Rīga Stradiņš university (RSU) Faculty of Medicine, students have to change several aspects of studies compare to high school: much deeper study content and scope of studies, type of learning, more emphasis on full-time work, practical class and lecture schedule for day, week, semester, types examinations and their regularity, new organizational culture, study year members, study course lecturers, must learn new concepts, such as matriculation, study regulations, study course, department, colloquium and others. Some students of the Faculty of Medicine do not set priorities in time and end up lacking time, do not fulfill their goals, are not satisfied with their study results, even have health problems. Therefore, time planning, selection of appropriate study strategies, setting priorities is a challenge for 1st year students and lecturers to make a pedagogical contribution to help students successfully move forward in the study process. The aim of the research is to find out the student’s opinion about time management, the set goals and their implementation and implement and test a support system at the university level.

WORK SCHEDULING PROGRAM DESIGN FOR LECTURE ATTENDANCE CONTROL AND LECTURER WORKLOAD CALCULATION WITH FINGERPRINT AND RFID IDENTIFICATION DEVICE

The essential factor in achieving a good learning process is discipline in the lecture process. Students and lecturers are encouraged to be disciplined and active participants in the lecture process, allowing the Lecturer's principal duty of transforming and disseminating science and technology to become more concentrated. Furthermore, to eliminate overlapping lecture schedules, lecture hours, and lecture venues that do not meet needs, it is easier for stakeholders to monitor and regulate lecturers' and students' lecture attendance so that quick and accurate decision-making can be done. To establish discipline in school utilizing biometric identification technology (fingerprints) and Radio Frequency Identification (RFID) technology, developing application software to make it easier to manage work schedules is required. The Work Scheduling program is an online application built with the PHP programming language, MySQL database, and fingerprint and RFID identification support devices that are expected to be effective and efficient tools in the process of scheduling lectures and recording lecture attendance of students and lecturers, making it easier to publish lecture schedules.

Gambaran Tingkat Kecemasan Mahasiswa Fakultas Kedokteran Universitas Mulawarman Sebelum Menghadapi OSCE

Anxiety is a very familiar term that describes a state of worry, anxiety, fear, and in peace with various physical grievances. Medical students experience a level of mental exhaustion that includes anxiety. Medical faculty students have a hectic schedule of lectures, tutorial activities, practicum, lab skills and the demands to study independently outside those hours so that the pressure on physical and mental conditions is relatively more severe than other education. In addition to learning activities, medical students also conduct Objective Structural Clinical Examination (OSCE) exams as an instrument testing clinical skill of medical students. The many thoughts about the material to be learned between theory, clinical skills in the OSCE exam, osce atmosphere, OSCE testers observing participants directly, unpreparedness following the OSCE, OSCE mechanism and the same time interval of each stase make osce known as a test that causes quite high anxiety. This research aims to find out the picture of anxiety levels of students of The Faculty of Medicine Universitas Mulawarman before facing the OSCE. This research is a descriptive observational study with cross-sectional design. Sampling using stratified random sampling techniques. This level of anxiety was measured using the English version of the Hamilton Anxiety Rating Scale (HARS) questionnaire which was translated into Indonesian with 14 items. The sample was obtained by 96 students. In this study, 27 students (28.12%) with mild anxiety levels, 29 students (30.21%) with mild to moderate anxiety levels, 40 students (41.67%) with moderate to severe anxiety levels.

Course Scheduling Information System Using Genetic Algorithms

University X is a private university which has 8 faculties, namely Economics, Engineering, Social Sciences, Faculty of Social and Political Sciences, Fikes, Law, Islam and Vocational Studies. One of the leading study programs at the University X is the Informatics Engineering Study Program at the Faculty of Engineering which is currently experiencing problems when the process of dividing space and hour schedules is still manual.The problems that arise include the accumulation of lecture hours for a lecturer who takes more than one course. Another problem is the disruption of the lecture process at the beginning of the semester due to the tentative scheduling system. The preparation of lecture schedules at the Faculty of Engineering, University X is still done semi-manually using Microsoft Excel, so it will take several days to make a schedule. Meanwhile, making a schedule must be done quickly and optimally because it is used for lecture activities, the solution that can overcome the above problems is by creating a Course Scheduling Information System Using Genetic Algorithms.
 The genetic algorithm is one of the most appropriate algorithms used in solving complex optimization problems, which are difficult to do with conventional methods. The nature of genetic algorithms is looking for possibilities from potential solutions to get the optimal for solving problems. The scope of all viable solutions, i.e. the objects between matching solutions, is called the search space. Each point in the search space represents a viable solution.
 The limitations of the built problem are: This system is operated by the administrative staff of the study program at the Faculty of Engineering, University X. This system is made using the Codeigniter framework, Responsive Bootstrapping (display) and MySQL as the database and the method used by this system is the genetic algorithm method.
 The final result of this research is that it is helpful and easy to apply as a tool in helping the optimization process of lecture scheduling in order to minimize schedule collisions in lectures at the Faculty of Engineering, University X

Model Ontologi untuk Penjadwalan Kuliah di Program Studi Teknik Informatika Fakultas Teknik Universitas Muria Kudus

The purpose of this study is to build a data model for scheduling lectures at the Informatics Engineering Study Program, Faculty of Engineering, Muria Kudus University uses ontology as part of the implementation of semantic web technology. System built based on existing schedule data in the Informatics Engineering Study Program, such as data days, courses, credits, space and time stored in RDF / OWL format. The use of a lot of data with different storage formats becomes problems in finding valid information. To overcome this, it is necessary a system that can provide complete information is needed, namely with using semantic web technology. The semantic web is used to understand meaning of a word and concept, because it builds interconnected resources. Semantic web implementation is built using the ontology approach applied to RDF/OWL format. The results of this study are improving the ability of computers to search for more informationrich lecture schedules in the Informatics Engineering Study Program.

Mi-Botway: a Deep Learning-based Intelligent University Enquiries Chatbot

Intelligent systems for universities that are powered by artificial intelligence have been developed on a large scale to help people with various tasks. The chatbot concept is nothing new in today's society, which is developing with the latest technology. Students or prospective students often need actual information, such as asking customer service about the university, especially during the current pandemic, when it is difficult to hold a personal meeting in person. Chatbots utilized functionally as lecture schedule information, student grades information, also with some additional features for Muslim prayer schedules and weather forecast information. This conversation bot was developed with a deep learning model adopted by an artificial intelligence model that replicates human intelligence with a specific training scheme. The deep learning implemented is based on RNN which has a special memory storage scheme for deep learning models, in particular in this conversation bot using GRU which is integrated into RASA chatbot framework. GRU is also known as Gated Recurrent Unit, which effectively stores a portion of the memory that is needed, but removes the part that is not necessary. This chatbot is represented by a web application platform created by React JavaScript, and has 0.99 Average Precision Score.

Factors Influencing Success in Advanced Engineering Mathematics Courses: A Case Study

Several studies have been conducted to understand the predictors of academic performance of various levels of high school and undergraduate students as quantified by the grade point average. This study focuses specifically on engineering students as they differ from other undergraduate students in their background and expectations. We focus on quantifying essential predictors of the performance of engineering students in an advanced mathematics course. We collected data from 72 participants recruited from engineering students enrolled in the advanced engineering mathematics (AEM) course in a research university. We chose this course to represent a standard engineering mathematics course covering several essential topics. We consider several factors in our analysis, such as cellphone usage and the academic background, e.g., the academic year, number of minors, and majors, performance in prerequisite courses. We perform several regression analyses to understand the effects of cellphone usage, course schedule, and academic background on performance in the AEM course and its prerequisites. In particular, we use the stepwise regression technique using forward selection and backward elimination procedures. We discovered a few interesting findings in this case study. Firstly, for the participants in this study, we find that the daily average “screen time” on their cellphones is not a statistically significant predictor of student performance. This finding contradicts some prior studies on this participant and may indicate adaption and integration of the technology by the new generation of students in recent years. We also found that the lecturing schedule was not an influential factor for their academic performance. These findings are especially relevant during the COVID-19 pandemic, as they suggest that advanced engineering students have adapted to the use of technology and are flexible concerning lecture schedules. Another unexpected finding is that this study brings new evidence that the number of minors taken by the participants is a negative predictor of their grade in the AEM course. This observation may indicate that course-work from non-major classes may adversely impact their performance in mathematical engineering courses.

Flipping a biochemistry class within a medical curriculum: Impacts on perception, engagement, and attainment.

The flipped classroom has gained prominence in higher education, but little has been written about its application in the Middle East. This study aimed to assess the feasibility, acceptability, and impact of flipping biochemistry classes in comparison to the traditional didactic program. The study was conducted on first-year medical students taking biochemistry at a private University in Saudi Arabia. A series of short, pre-recorded videos were used to replace traditional lectures. The scheduled lecture time was used for problem solving and discussion sessions. To gather their evaluation of the learning approach, participants completed an online survey. To study the effect of the learning approach on exam performance, the scores of the participants were compared in questions taught using the flipped classroom versus the traditional didactic method. Participants noted that the effort needed for the course was similar regardless of the learning approach. Moreover, examination performance measured using single best answer multiple-choice questions showed no difference between the two teaching methods. However, the participants did report a significantly better perception of the flipped classroom compared to the traditional approach. Although no significant improvement in examination results was noted, the participants significantly favored the flipped classroom over traditional lectures. This study has demonstrated that the flipped classroom can be used in the teaching of the biosciences within a Middle Eastern setting, resulting in an improvement in student satisfaction and engagement in the course materials.

Smart Analyzer: Assisting College Management through Machine Learning and Data Analysis

This work explores various opportunities to improvise regular tasks done by college faculty viz. Exam Result Analysis, Daily Student Attendance Analysis and Lecture Schedule Storage. Result Analysis becomes a tedious task when handled through traditional pen-paper methods and spreadsheets. This can be simplified by using Classification and Regression techniques. Through Regression, module-wise clarity of subjects can be foretold for students. Classification and Clustering algorithms can help to segregate students in various groups so that additional efforts can be taken for slow learners. It can also be used for classifying modules of a specific subject based on their complexities and course outcomes. The usage of register files for daily student attendance can be improved in a digital approach through Android and Django Framework. Through this approach, attendance can be tracked regularly and lecture (session) wise analysis can be done without the clutter of traditional pen-paper approach. Besides, for storing Lecture schedules and relevant timelines in the Realtime database furnishes additional benefits involving access to multiple users simultaneously. Technologies like Django Framework, Android OS, Realtime Database Systems and Machine Learning algorithms make these tasks simplified and less time-consuming. Data Analysis of Exam Results can be used for classifying student response to the teaching-learning process and can help in strategic outlining for future enhancements. Results of the proposed system consists of graphical representation of analysis done on input data and real time analysis of attendance data.

An account of strategies and innovations for teaching chemistry during the COVID-19 pandemic.

The COVID‐19 pandemic led to an abrupt suspension of face‐to‐face teaching activities in higher education institutions across the globe. The instructors and faculty at most institutions have had to adapt, invent, and implement adjustments quickly to adopt an online learning environment. This has been an extraordinarily challenging time for both students and instructors, particularly as many were not aware of the affordances and weaknesses of the online learning environment before it was uptaken. Particularly for chemistry and related disciplines, this change in delivery mode is even more disruptive in courses that have laboratory components due to loss of access to laboratories. As a teaching community, it was our responsibility to respond quickly and effectively to students' learning needs during this unprecedented global crisis. In our course, we provided succinct pre‐recorded lecture‐videos by topic rather than live‐streaming of lectures. The recordings were made available to students a minimum of 24 h before the scheduled lecture time. Students were then provided opportunities to attend live tutorial sessions (held on Zoom and live Q&A feature on Piazza) if they had any questions that they wanted to ask the lecturer directly. We believe that the asynchronous sessions were more equitable than synchronous ones. This meant that students with difficult and challenging home/learning environments (i.e., disruptions at home, work/family schedules, poor internet, limited access to devices, etc.) were minimally disadvantaged. The approach worked well in general for teaching chemistry to pharmacy students and we believe that it can be adopted for other subjects.

Psychiatric morbidity among undergraduate students of university of Ilorin, Kwara state, Nigeria

IntroductionThe Nigerian tertiary education system admits mostly teenagers and young adults from different ethno-religious and family backgrounds, some of whom may have inherent risks and predisposition to mental illness. They then undergo stressful conditions related to the university life such as long durations of lectures, over-crowding, and lack of social amenities, haphazard lecture schedules as well as incessant industrial strike actions of academic and non- academic staff. In spite of these, there appears to be few studies on the burden of emotional and mental disorders among Nigerian University students, and none was cited suggesting interventions that may be appropriate.ObjectivesThe objectives of the study is to determine the prevalence of psychiatric morbidity and its associated factors among undergraduate students of Univesity of IlorinMethodsThis is a cross-sectional study using multi staged systematic randomization. A self-administered socidemographic questionnaire and the 12 item general health questionnaire (GHQ -12) was administered on 3,300 students.ResultsPsychiatric morbidity was found to be 23.6% of the 3179 analyzable returned questionnaires. Factors found to be significantly associated with psychiatric morbidity included female gender, relationship with parents, parental employment status and family structure. Students on scholarship were more likely to have mental illness. Other associated factors include whether course of study was the preferred one and relationships with peers and lecturers on campus. About 46.6% of the students were willing to have internet based mental health intervention programmes.ConclusionsThe data obtained from this study is relevant for the formation of mental health promotion and prevention programs on our campus.Disclosurethis study is part of the first phase of a three phase study. it aims to explore the factors associated with psychiatric morbidity among University student as a precursor for determining appropriate mental health interventions. it was partly funded by the

Integration of Academic Mobile Applications at University

The development of android smartphones also plays a role in the world of education, such as the presence of android-based learning media, android-based educational information systems, and much more. If a few years ago, the academic information system was limited in the form of a website, now the academic information system has also begun to be developed on Android-based mobile devices. This is quite reasonable considering there is a myriad of advantages possessed by Android-based applications. By using an Android-based academic information system, application users can dig up information anywhere and anytime such as: Independent Lecture Schedule, Online SPP Payment (no need to queue) to fill KRS (Study Plan Card), see KHS (Study Result Card), Trusteeship, Discussions, value announcements and much more, all that can be done via a smartphone. It’s effortless, like “University Information and Communication Center in the Grip. The main advantage of developing the University Mobile Application is in terms of mobility. The application on an Android smartphone can be used anywhere and anytime. Thanks to these characteristics, Mobile Application University is the right answer to overcome obstacles in web-based or desktop-based academic information systems. With the Android-based educational information system application, information system users can access information directly from an Android smartphone. Aside from the mobility side, the development of an Android-based academic information system is also becoming increasingly optimal thanks to the smartphone’s distinctive features such as the notification feature. With the notification feature, the information will be more quickly distributed to application users. Of course, the use of an Android-based academic information system application is more effective when compared to using a web-based educational information system that must wait for users to access the web.

Application of Genetic Algorithm to Optimize Lecture Scheduling Based on Lecturers’ Teaching Day Willingness

The scheduling of lectures is an important activity that is carried out every beginning of the semester. The process of making a lecture schedule in the Informatics Engineering Study Program of Universitas Catur Insan Cendekia Cirebon still uses office applications, so it takes a long time to complete. This is because certain criteria or conditions that make the scheduling of lectures complicated, such as the willingness of teaching days and courses for each lecturer to differ and the availability of parallel classes. The research methods used consist of several stages, namely data collection, analysis, and system design, as well as the implementation of software created. The method of data collection used is observation and library study. The method of analysis and design of the system used is Object-Oriented Analysis (OOA) using Unified Modelling Language (UML). Applications created using the PHP programming language with the Yii Framework and MySQL as databases, as well as applying genetic algorithms to solve scheduling problems. The result of this research is a lecture scheduling application used by BAAK Staff to create a lecture schedule in the Informatics Engineering Study Program. The application of this application can save time in the creation of lecture schedules.

Development Presensi PTI based on android with Quick Response code

Presensi PTI (PTI Presence) is an android-based application with the use of QR Code which can be used as a record of the attendance list of students in each lecture that is carried out by the schedule and contract of college and student lectures. The purpose of developing this application is to provide a more effective, efficient, and accurate presence system according to the facts. The process of making this application uses the waterfall method which starts from the analysis, design, coding, and testing of functional suitability, performance efficiency, portability, and usability. The results of application testing on the characteristics of Functional Suitability, Performance Efficiency, and Portability with a percentage of 100% which means the application is good. As for Usability, it can be said that the application is feasible to use with a percentage of more than 70%.

Motherhood and higher education in Ghana: Experiences of student-nursing mothers

Education is vital to everyone, but it is significant for girls and women. The importance of education is true not only because education is an entry point to other opportunities, but also because the educational achievements of women can have ripple effects within the families and across generations. However, the effect of the inadequate support system in the University and home on academic performance, childcare and other domestic chores cannot be overemphasised. The purpose of this study was, therefore, to investigate the challenges encountered in school and the home and also to explore the perceived coping strategies adopted by student nursing mothers in a tertiary institution in Ghana. A qualitative approach using the descriptive phenomenological design was adopted. Eighteen participants were drawn from an accessible population of 30 student nursing mothers using a purposive and snowballing sampling method. The study employed a thematic approach to analyze student nursing mothers’ responses to interviews conducted. The study revealed a lack of concentration, lack of time to study and unfriendly lecture schedule as some challenging experiences of the mothers. On home challenges, student nursing mothers experienced a decline in marital happiness and inadequate care of older kids. Based on these findings, it may be deduced that the programme structure of the university programmes is not student mother-friendly and that student nursing mothers may have problems with grades and psychological wellbeing. Again, there may be some lack of lactating resources in the institution which students’ mothers may have utilized to ease the pressure in nursing of their babies. Recommendations were therefore given in light of the study.

Implementation of MPC for an all-air system in an educational building

The building sector has to significantly reduce the total energy use. A predictive control could be a solution to control an HVAC system more energy efficiently since it takes into account the current measurements and the future demand. In this study a predictive control framework is implemented in an educational building with two lecture rooms. The airflow rate is controlled by VAV boxes based on measurements of CO2 concentration and operative temperature. The dynamic model used for optimization of the control input is a grey-box model, previously identified using measurement data. Weather forecasts and weekly lecture schedules are used as forecasts for the optimization of future control actions. The control actions resulting from the optimization are written to the set points for supply air temperature and VAV damper position using the BACnet interface. Results of the first trial indicate that the predictive control is able to control the room temperature and CO2 concentration, even with uncertainty introduced by the forecasts. Prediction errors observed were 0.17 ˚C for room temperature and 87 ppm for indoor CO2 concentration.

An Estimation of Electrical Energy Saving for Lecture Building at Universitas Andalas Using Daily Electric Need Pattern

Electrical energy is a mandatory requirement for carrying out various kinds of human activities. Nowadays, electrical energy must be used efficiently, that is, as needed. However, in use, it is often done excessively and inefficiently, which causes energy loss. It has an impact on the high spent on electricity costs. This research was conducted using an analytical method to obtain a pattern of ideal daily energy consumption needs for various kinds of academic activities in the Universitas Andalas lecture building, namely during the lecture period, exam period, and lecture holidays. The ideal pattern of needs is obtained by considering electrical equipment data, lecture schedules, the questionnaire results on electricity users’ behavior, and the value of lighting intensity. The pattern is plotted on a graph every 30 minutes for 24 hours. The pattern results are then compared with current electrical energy usage to evaluate everyday electrical energy use to improve future use. Based on testing the pattern of ideal electrical energy needs with current, it is found that electrical energy is the least efficient during the lecture holidays with a percentage value of 55% to 75%.