Non-Linear Curriculum Experiences for Student Learning and Work Design

Developing curriculum aligned with employment outcomes often includes linear design. However, students do not cognitively approach their education linearly, and economies do not fluctuate linearly. We should support students' natural non-linear approaches to education and employment. Chat bots that include non-linear presentation of text, short video clips, and images can help us design curricular experiences that mirror and personalize unique student cognition. As students navigate nudges of content within a chat bot on their phone or full-page views in an internet browser, the initial content will catalyze new questions and non-linear thinking for students to then explore their own employment related journeys. This will buttress students to be agents in their learning instead of objects of linear design. Machine learning models feeding chat bot learning journeys and experiences can help improve organic assessment for a constellation of employment preparedness outcomes and connection.

Mr. Dr. Health-Assistant Chatbot

Research says 60% of visits to a doctor are for simple small-scale diseases, 80% of which can be diagnosed at home using simple check-up. These diseases mostly include common cold and cough, headache, abdominal pains etc. Whereas, chat-bots in healthcare are highly in demand, which functioning can offer various services from symptom checking and appointment scheduling. Therefore, the purpose of the research aims to design, develop and evaluate a health-assistant Chat-bot Application entitled “MR.Dr.” that helps users to ask any personal query related to healthcare without physically available to the hospital. MR.Dr. is evaluated in term of usability. 30 respondents attended the survey of usability evaluation. In the system usability scale MR.Dr. achieved 87.6 % rating which means Grade A (excellent). User's feedback level was pretty satisfying where 24/7 service is the highest one.

Using Learning Analytics to Explore Responses from Student Conversations with Chatbot for Education

Chatbot simulates humans' conversations through computer programs using natural language. They are developed for various reasons and purposes, such as virtual characters and entertainers or as an interactive game component. Nowadays, Chatbots for education are using widely to enable students to engage with learning content constantly. In this study, students use Chatbot to query the Web Programming learning contents such as code description, coding and problem-solving. However, the successful responses of Chatbot to student queries is unknown. The lecturers also do not know the desired learning content of students who use the Chatbot. Thus, the purposes of this study are to explore the probability of a student getting successful responses in each conversation and to identify the students desired learning content. The learning analytics method is used to analyse the learning data of Chat-bot. The data analysis performed is descriptive analysis and binomial probability testing. The finding of the studies showed that the value of successful responses of Chatbot is high. The most desired learning content by the students is related to three categories of Web Programming contents, which is the hypertext Preprocessor (PHP), database & structured query language (SQL) and hypertext markup language (HTML). The Chatbot is updated based on proposed actions to provide more successful responses.

Active syndromic surveillance of COVID-19 in Israel

Syndromic surveillance systems monitor disease indicators to detect emergence of diseases and track their progression. Here, we report on a rapidly deployed active syndromic surveillance system for tracking COVID-19 in Israel. The system was a novel combination of active and passive components: Ads were shown to people searching for COVID-19 symptoms on the Google search engine. Those who clicked on the ads were referred to a chat bot which helped them decide whether they needed urgent medical care. Through its conversion optimization mechanism, the ad system was guided to focus on those people who required such care. Over 6 months, the ads were shown approximately 214,000 times and clicked on 12,000 times, and 722 people were informed they needed urgent care. Click rates on ads and the fraction of people deemed to require urgent care were correlated with the hospitalization rate ($$R^2=0.54$$ R 2 = 0.54 and $$R^2=0.50$$ R 2 = 0.50 , respectively) with a lead time of 9 days. Males and younger people were more likely to use the system, and younger people were more likely to be determined to require urgent care (slope: $$- \,0.009$$ - 0.009 , $$P=0.01$$ P = 0.01 ). Thus, the system can assist in predicting case numbers and hospital load at a significant lead time and, simultaneously, help people determine if they need medical care.

Đánh giá lối sống của thai phụ trước khi được chẩn đoán đái tháo đường thai kỳ

Mục tiêu: Khảo sát lối sống của các thai phụ bao gồm chế độ ăn uống và hoạt động thể chất trước thời điểm chẩn đoán ĐTĐTK. Đối tượng và phương pháp nghiên cứu: Đây là một nghiên cứu báo cáo loạt ca khảo sát lối sống của 558 thai phụ được chẩn đoán Đái tháo đường thai kỳ (ĐTĐTK) bằng nghiệm pháp dung nạp 75 gram glucose – 2 giờ tại thời điểm thai 24 – 28 tuần được quản lý thai kỳ tại bệnh viện Mỹ Đức trong thời gian từ 01/2021 đến 07/2021. Kết quả: Nghiên cứu ghi nhận thai phụ có thói quen ăn nhiều chất bột đường, trái cây ngọt và ít rau củ, đặc biệt thiếu chất xơ trầm trọng vào bữa điểm tâm. Hơn một nửa thai phụ có thói quen thường xuyên dùng các thức uống có đường. 83% thai phụ không vận động hoặc chỉ vận động < 15 phút/ngày, do lo ngại nguy cơ sẩy thai hoặc sanh non. Số lần tập thể dục trung bình trong một tuần 2,09 lần, quá ít so với khuyến cáo. Kết luận: Kết quả nghiên cứu cung cấp thông tin cho công tác tư vấn dinh dưỡng, thay đổi lối sống cho các thai phụ Việt Nam để phòng ngừa ĐTĐTK.

MARKETING FOR, BY AND OF THE PROJECT: CASE OF KAZAKHSTANI COMPANIES

The article reveals the features of marketing as a part of project management, its purpose and objectives. The essence of marketing in general is described, the concept of marketing research is considered. The article examines the features of project marketing for promoting products to the market. Article also considers a certain example of a Kazakh company that provides medical services. Consumer survey and subsequent experiment were used as research methods. The survey showed the most popular channels of communication between consumers and the company, their experience with chat-bots, and their use and satisfaction assessment from using chat-bots. The hypothesis that the implementation of such a modern marketing technology as a chat-bot will effectively affect the company's activities is considered proven. The research objectives were fulfilled.