TEACHING LANGUAGES FOR MEDICAL PURPOSES WITH TECHNOLOGY: WHAT TO TAKE TO THE DIGITAL CLASSROOM

The article focuses on the experience of online language learning in the time of the COVID-19 pandemic at Sechenov University (Moscow, Russia). Due to the differences in accepted professional communication practices in medical sphere in Russia and abroad there is a need of commenting, propagation and constant focusing on the part of the instructor. The aim of this research was to obtain a clear and a detailed picture of medical students’ attitude towards the change in the mode of delivery in teaching languages for medical purposes, which occurred during the lockdown and triggered a sudden shift in the roles. We analyzed the technologies used, the alterations to the academic content, modes of delivery, and the student’s attitude towards ESP/EMP employing mainly a quantitative methodology of gathering and analyzing data. The survey of the students showed that, though there is a strong preference in favor of technology use and more independent learning, they fully understand the role of the instructor in the process.

Students’ Attitude on the Use of Machine Translation in Japanese Language Class

The purpose of the study was to determine student attitudes towards the use of machine translation in Japanese classes, especially in Writing 1 and IV classes. Machine Translation is considered an online resource in facilitating the translation process. The method used is descriptive qualitative. Data were taken from questionnaires distributed to students. Participants are semester II and semester IV students who receive Japanese Writing courses. This research activity was conducted at Darma Persada University, Jakarta. The data analysis technique used three stages, namely data reduction, data presentation and concluding. The results showed that students were dissatisfied with the use of machine translation. This means that the student's attitude is negative. However, machine translation is considered to be able to help complete the translation task more quickly, but the translation results are not in the context of the target language

Factors and Problems Affecting Reading Comprehension of Undergraduate Students

This study aims to investigate factors affecting reading comprehension problems of 2nd, 3rd, and 4th-year students of English for International Communication (EIC) at Rajamagala University of Technology Lanna Tak. The study's objectives were 1) to examine the reading comprehension problems found most in 2nd, 3rd, and 4th year EIC students; and 2) to investigate the main factors influencing the reading problems that in turn, greatly affected the reading competence of 2nd, 3rd, and 4th-year students of EIC and how they cope with these problems. In this study, 77 EIC students demonstrated reading problems and factors which were adopted from Manutsawee (2015). The results showed that these students reflected different perceptions related to their reading problems and the factors that had an impact on their reading problems. The reading problems for the 2nd year EIC students were related to grammar, vocabulary, understanding, and personal experience with an average of 3.50, 3.43, 3.25, and 3.25, respectively. Meanwhile, the 3rd year students showed that they had difficulty with vocabulary (3.19) and grammar (3.10), with understanding and personal experience having the same average score (3.00). Finally, the 4th year students' reading problems were in the area of vocabulary (3.50), understanding and grammar (3.25), and personal experience (3.14). Moreover, the factor that affected EIC students' reading problems the most was identified as follows. The 2nd year students perceived students' attitude as the most influential factor at 3.91. However, the 3rd year students thought classroom teaching had the greatest impact on their reading problems at 3.79. Finally, the student's attitude was also the most influential factor, at 3.91, for the 4th year students.

Impact of Classroom Environment on Student’s Attitude Towards School

Current study was undertaken to determine the effect of psychosocial classroom environment on student’s attitude towards school. Using cluster sampling technique 203 students’ including 97 females’ and 107 males, age range 12-14 years were taken from class 7th and 8th of different government and private schools in Peshawar. What Is Happening In This Class? (WIHIC) questionnaire (Fraser, McRobbie & Fisher, 1996) and an Attitude toward School Scale (Anderson, 1999) were administered for data collection. Psychosocial classroom environment was found to be a significant predictor of students’ attitude towards school. There were also some gender differences on different classroom environment variables and their impact on student’s attitude towards school.

Assessment of Professionalism Attitudes in Students of Government and Private Medical College Using Learner’s Attitudes to Medical Professionalism Scores (LAMPS)

Objectives: To assess and compare the student’s attitude to professionalism among government and private medical colleges. Research question: Are there any differences in Professionalism attitudes of students studying in government and Private medical colleges of Pakistan? Hypothesis: Professionalism attitudes of Medical students studying in government and Private medical colleges do not differ from each other. Method: A government medical college of Sargodha & a Private medical college of Lahore were chosen for the study. Study was conducted from May to June 2019. 200 Final year MBBS students were given a questionnaire named Pakistani LAMPS validated through a pilot study. Non probability purposive sampling technique was used. We applied statistical test chi square used for analysis in SPSS 21 version. Results: Out of the study participants, there were 76(38%) were male &124(62%) female. The Pakistani LAMPS had an acceptable reliability index with a Cronbach’s alpha of 0.71. The items mean scores vary between (1.93+ 1.03 and 3.00+ SD 3.78, scale 1–5). The score was high significantly in Private medical college students (107/140) than Public medical college (95/140) with p value of 0.0001. Conclusion: The null hypothesis was rejected because the professionalism score of private medical college students was higher than that of government medical college students. Keywords: Professionalism, Attitudes, LAMPS Government, Private, Medical Education

Use of a Team-Based Video Simulation to Complement a Lecture in Motivational Interviewing to Develop Students’ Initial Attitudes and Skills

Background: Motivational interviewing (MI) is increasingly recognized for its patient-centered approach to clinician-patient communication and often effective in evoking appropriate changes in patient behavior. Doctor of Pharmacy (PharmD) programs are increasingly incorporating MI education; however, doing so represents a challenge regarding availability of both time and labor capital. Case Description: This study reports on the use of a 90-minute software-based simulation and tutorial coupled with a 90-minute lecture in a 3-hour course session. In a subsequent session consisting of several brief interactions with standardized patients (SPs), students reflected upon their strengths and challenges as a result of attempting to apply the MI principles they learned during the educational intervention. Case Themes: Students’ responses to a questionnaire delivered both before and after the simulation and lecture, showed improvements in several attitudinal components related to use of MI, as well as developing self-efficacies in deploying patient-centered communication strategies. A post-intervention survey without students’ opportunity to study/prepare saw gains in student knowledge about MI. Case Impact: The measurements employed to determine student’s attitude and knowledge showed good to very good internal consistency reliably based on calculated Cronbach’s alpha and KR-20. Student reflections indicated their understanding of MI principles, even though they fell short of implementing them in large part during their encounters with SPs. Conclusion: Use of a video simulation undergone by teams of PharmD students coupled with a brief lecture might be an effective and efficient way of building a foundation for MI competency among PharmD students where instructors might lack labor capital and significant space in the curriculum.

Student’s Attitude and Comfort towards Online Education in India

The aim of this investigation was to study about the student’s attitude and comfort level towards online education in India. It also aimed to study the relationship between personal variable and student’s attitude and comfort level. The present study was conducted online in different district of India. The data were collected online from 547 students of different colleges with the help of a questionnaire developed in a Google form. The results indicated that more than half of the students (52.83%) were from Government institute (Central/state). The results also revealed that majority of the students (78.98%) had access to computers and Wi-fi in their institute while 61.61% students had access on the online material for study at home. More than half of the respondents (55.94%) reported sufficiently availability about the various online educational portals/tools /apps. More than half of the students (59.23%) agreed that short-term hands-on training/workshop about the available tools/apps/ portals will help in better understanding of the online mode of learning. 51.55% of the students responded that they did not enjoy online mode of learning more than the typical classroom teaching. The results showed a significant association for attitude and comfort level of students towards online teaching mode.

МАNAGEMENT OF VIRTUAL TEAMS IN EDUCATION

The pandemic situation with Covid-19 posed more and more the need of virtual management in business. This is even more necessary in education. In the present article we share our almost ten years of experience in virtual management of teams. In addition to the traditional education we applied a dynamic record system along with other digital applications in the development of curricula and national exams. We also analyzed student‘s attitude to work in such a virtual environment. We also share our experience in the management of the national program IT career training a virtual team for the development of programs in the field of computer science and last but not least our management of a team of the national commission for Olympiads and mathematics. This article makes an analysis and conclusions for successful practices as well as conditions for building a successful virtual team.

FORECASTING THE RESULTS OF THE SINGLE ENTRANCE EXAM IN A FOREIGN LANGUAGE BY BACHELORS OF THE INSTITUTION OF HIGHER EDUCATION

The paper provides information on the need to pass the “Unified entrance exam” in a foreign (English) language by students who have received a bachelor’s degree and wish to continue their studies to obtain a master’s degree. It is determined that when working with undergraduate students, it is advisable, firstly, to determine the percentage of graduates whose passing EVE is unlikely, and secondly, to intensify work with such graduates to increase this probability. The task was set to create a model for predicting the results of the unified entrance exam in a foreign language by bachelor’s graduates of higher education institutions upon entering the master’s program. A number of factors that affect the EVE score are proposed, namely: competitive score at enrollment (indicator of the student’s basic level), rating (assessment) based on the results of the first year of study (exam in the compulsory subject “Foreign Language”), choice “Foreign language” in the 2-3rd year (maximum of all or “0”, if the student did not choose), the rating of additional classes “Foreign language” in the 4th year, the average rating for the penultimate session (indicator “current” student’s attitude to the educational process), the fact of having additional points (an indicator of the student’s interest in other activities than learning), the average rating of a bachelor’s degree (an indicator of the general student’s attitude to the educational process). The available data concerning students of two years of the department of intelligent decision-making systems of the Donbas State Engineering Academy are given. A method of artificial neural networks with a two-layer perceptron architecture with ten neurons in each hidden layer, a sigmoid activation function, and an error backpropagation algorithm for network training is proposed. Calculations were performed in the Deductor Studio Lite environment, their results were analyzed. It is noted that the proposed approach to forecasting can be applied when working with undergraduate students, to determine the percentage of graduates whose EVI is unlikely to pass, and to intensify work with such graduates to increase this probability. Keywords: educational and qualification level, the only entrance exam, forecasting, artificial neural network, perceptron, sigmoid, network training.