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A global push to pursue careers in engineering has led to an increase in enrollment in engineering programs. However, rising student populations have led institutions to make compromises in order to effectively manage existing resources and rising costs, such as resorting to large classes despite evidence that they may be detrimental to student learning. Recognizing that large classes are both a necessity...
Nowadays, news are available ubiquitously in heterogeneous forms, from both offline and online sources. An example of offline news resource includes newspaper which contains only text and pictures. Online news articles have recently emerged to enhance news consuming experiences, such as embedding videos to allow readers to illustrate real situations. However, to read news articles online, users may...
With the development of computer technology, computer-assisted teaching has become an important aspect in modern education application. More and more educational software plays a major role on helping people learn the language. In this paper, we combine natural language process technology to multimedia technology, and develop a computer-assisted teaching system based on natural language process technology...
Natural language processing and machine learning can be applied to student feedback to help university administrators and teachers address problematic areas in teaching and learning. The proposed system analyzes student comments from both course surveys and online sources to identify sentiment polarity, the emotions expressed, and satisfaction versus dissatisfaction. A comparison with direct-assessment...
Professionalism and communication skills are important aspects of medical training, and virtual patient applications can offer cost effective, easily accessible platforms for communication practice which complement flexible, student-driven medical school curriculum design. Further, numerous virtual and augmented reality platforms have been introduced recently. This paper explores potential advantages...
This paper is a detailed summary of the work conducted in the novel domain of categorical data analysis of eminent colleges in India by mining Twitter data and uncovering integral traits/events characteristic of these institutes by determining key rules. The information thus collected could be beneficial to the entire academia: it can be utilized by students in making informed decisions about which...
As a generalized approach in natural language processing, pattern matching is seldom applied in syntactic parsing nowadays. In some applications on short text analysis such as microblog opinion mining, the sentences are characterized by obvious patterns. Thus automatic parsing by pattern matching may be more effective than general syntactic parsing method. This paper puts forward a lightweight algorithm...
Technology plays a very important role in education and Intelligent Computer-Assisted Language Learning (iCALL) has emerged as a complementary or even alternative method to the conventional language teaching practices. The automatic generation (and correction) of language exercises based on real texts extracted from corpora constitutes a non-trivial challenge to iCALL tutorial systems, and may involve...
The learning objectives, learning activities and assessment are very much interrelated. Assessment helps to evaluate students learning achievement. Poorly designed assessments usually fail to examine the achievement of intended learning outcome of a course. There are different taxonomies that have been developed to identify the level of the assessment being practiced such as Bloom's and SOLO. In this...
This paper explores opinion mining using supervised learning algorithms to find the polarity of the student feedback based on pre-defined features of teaching and learning. The study conducted involves the application of a combination of machine learning and natural language processing techniques on student feedback data gathered from module evaluation survey results of Middle East College, Oman....
The Miface project is using crowdsourcing to build an extensive database of semantically tagged facial expressions. Developed by students at NYU, the Web application uses IBM Watson's Tone Analyzer module to refine user labels for each expression. The end result will be to enrich the ability of computational agents to understand and generate meaningful nonverbal cues for human interaction. The Web...
Assessment is an essential activity to achieve the objective of the course being taught and to improve the teaching and learning process. There are several educational taxonomies that can be used to assess the efficacy of assessment in engineering learning by aligning the assessment tasks in line with the intended learning outcomes and teaching and learning activities. This research is focused on...
The Gender Identification (GI) problem is concerned with determining the gender of the author of a given text based on its contents. The GI problem is one of the authorship profiling problems which have a wide range of applications in various fields such as marketing and security. Due to its importance, extensive research efforts have been invested in the GI problem for different languages. Unfortunately,...
Today, the crisis has worsened the panorama for Universities, placing new constraints that require being more sustainable economically. In addition, universities will also have to improve their research and teaching in order to obtain more research funds and attract more students. In this panorama, analytics can be a very useful tool since it allows academics (and university managers) to get a more...
Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the conference event and publication of the proceedings record.
With the increasing number of Mauritian-owned websites on the internet, the need for classification is becoming highly important. Our objective in this research is to classify a list of websites into seven broad categories namely education, entertainment, government, health, tourism, sports and shopping. The homepage of three hundred and nineteen websites have been used in this study. We have exploited...
In most of the existing Intelligent Tutoring System, the initial clustering of students is based on their previous semester marks. This paper introduces SoftTutor, an ITS for teaching complex data structures in C for 4th semester B. Tech (Computer Science and Information Technology)students. Here instead of using their previous semester marks, a pretest is conducted by SoftTutor which includes questions...
This paper presents a proposal to solve the need of making numerical information accessible. We use the domain of cooking recipes as a special case of study. For the numerical information in recipes to be accessible it is necessary to adapt the different mathematical forms used for the quantities of different ingredients. It is a first approach to automate the adaptation of the recipes for universal...
Mnemonic phrases may help engineering students remember list information more easily. This paper describes the current progress of work to develop, implement and test two methods for the automatic generation of mnemonic phrases by computer. Techniques from artificial intelligence (AI) are drawn upon; more specifically from natural language processing (NLP) and genetic algorithms (GA). The first method...
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