在翟象俊主编的《大学英语》第2册第5单元中，有这样一个句子：“As a boy and then as an adult, I never lost my wonder at the personality that was Einstein.”教参中指出“the personality that was Einstein”应理解为“the personality which was the most striking characteristic of Einstein”，该句译为“作为一个孩子，到后来作为一个成人，我一直对爱因斯坦的个性惊叹不已”。很明显，在这里译者把“personality”理解为“个性，人格”，但本人认为应译为“人物，名人”更妥。“personality”可作“个性，人格”讲，但它还有另外一个重要意思。在陆谷孙主编的《英汉大词典》（1993年版）中，“personality”第3条释义为：“个人，人物，名人”：“appoint a personality to lead a campaign，派一个人去领导一场运动”。“a personality in the news，新闻人物”。在...

此处“personality”译法探析

Chatbots have been around for years and have been used in many areas such as medicine or commerce. Our focus is on the development and current uses of chatbots in the field of education, where they can function as service assistants or as educational agents. In this research paper, we attempt to make a systematic review of the literature on educational chatbots that address various issues. From 485 sources, 80 studies on chatbots and their application in education were selected through a step‐by‐step procedure based on the guidelines of the PRISMA framework, using a set of predefined criteria. The results obtained demonstrate the existence of different types of educational chatbots currently in use that affect student learning or improve services in various areas. This paper also examines the type of technology used to unravel the learning outcome that can be obtained from each type of chatbots. Finally, our results identify instances where a chatbot can assist in learning under conditions similar to those of a human tutor, while exploring other possibilities and techniques for assessing the quality of chatbots. Our analysis details these findings and can provide a solid framework for research and development of chatbots for the educational field.

Rediscovering the use of chatbots in education: A systematic literature review

An intelligent Chatbot using deep learning with Bidirectional RNN and attention model.

Exploring Text-based Emotions Recognition Machine Learning Techniques on Social Media Conversation

This paper presents Healthcare Chatbot using Artificial Intelligence that can make a human-system interaction to resolve basic queries regarding health parameters before consulting a doctor. The actual purpose behind this work is to work on the user's symptoms and to provide medical suggestions according to it, to reduce the time and cost required for the process. It is a system that communicates with users using Natural Language processing rather we can say it is a computer program that uses NLP for interaction. The chatbot works on provided input by the user, It takes sentence keywords and makes decisions to solve the user's query and answers it accordingly. Some of these calculations like Rank calculation and sentence similarity are performed with the help of TF-IDF, Stemming, n-grams and cosine similarity. Basically, our system uses machine learning techniques to solve user's queries regarding healthcare by using suitable algorithms. The system allows users to create their profile to specify their symptoms, to suggest doctors and dosage reminders. This chatbot can be used by normal humans in any kind of emergency situation where it can play the role of adviser to people about primary care before consulting a doctor or sometimes it will work as a doctor for minor and short term health issues like cold, headache, etc. Along with this chatbot will be a support for the needy who require urgent solutions. A user can be able to recognize the actual disease by providing symptoms of it. As if a person will also know about the solutions or we can say precautions and remedies that they should take accordingly.

Healthcare Chatbot System using Artificial Intelligence

Designing an Emotionally Realistic Chatbot Framework to Enhance Its Believability with AIML and Information States

Game Development “Tales of Mamochi” with Role Playing Game Concept Based on Android☆

The purpose of this research is to build an attractive gamification system that could motivate college students as the user target by customized challenges with adjustable difficulty-scaled reward systems. The methods used for the research consists of problem identification, collecting and analyzing the data, problem formulation, solution and design creation, product implementation, and evaluation. StudyGO is a mobile application that has 2 main features that have gamification aspects which are focused and scheduled study. The application evaluation is done with questionnaire evaluation based on 5 measurable human factors. The majority results from the application feels very motivated and rewarded enough from this gamification system.

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Agnes Kurniati

Papers

Designing an Emotionally Realistic Chatbot Framework to Enhance Its Believability with AIML and Information States

Game Development “Tales of Mamochi” with Role Playing Game Concept Based on Android☆

Gamification for Increasing Learning Motivation of College Student