A brief network analysis of Artificial Intelligence publication

In this paper, we present an illustration to the history of Artificial Intelligence(AI) with a statistical analysis of publish since 1940. We collected and mined through the IEEE publish data base to analysis the geological and chronological variance of the activeness of research in AI. The connections between different institutes are showed. The result shows that the leading community of AI research are mainly in the USA, China, the Europe and Japan. The key institutes, authors and the research hotspots are revealed. It is found that the research institutes in the fields like Data Mining, Computer Vision, Pattern Recognition and some other fields of Machine Learning are quite consistent, implying a strong interaction between the community of each field. It is also showed that the research of Electronic Engineering and Industrial or Commercial applications are very active in California. Japan is also publishing a lot of papers in robotics. Due to the limitation of data source, the result might be overly influenced by the number of published articles, which is to our best improved by applying network keynode analysis on the research community instead of merely count the number of publish.Comment: 18 pages, 7 figure

Annotation of multimedia learning materials for semantic search

Multimedia is the main source for online learning materials, such as videos, slides and textbooks, and its size is growing with the popularity of online programs offered by Universities and Massive Open Online Courses (MOOCs). The increasing amount of multimedia learning resources available online makes it very challenging to browse through the materials or find where a specific concept of interest is covered. To enable semantic search on the lecture materials, their content must be annotated and indexed. Manual annotation of learning materials such as videos is tedious and cannot be envisioned for the growing quantity of online materials. One of the most commonly used methods for learning video annotation is to index the video, based on the transcript obtained from translating the audio track of the video into text. Existing speech to text translators require extensive training especially for non-native English speakers and are known to have low accuracy. This dissertation proposes to index the slides, based on the keywords. The keywords extracted from the textbook index and the presentation slides are the basis of the indexing scheme. Two types of lecture videos are generally used (i.e., classroom recording using a regular camera or slide presentation screen captures using specific software) and their quality varies widely. The screen capture videos, have generally a good quality and sometimes come with metadata. But often, metadata is not reliable and hence image processing techniques are used to segment the videos. Since the learning videos have a static background of slide, it is challenging to detect the shot boundaries. Comparative analysis of the state of the art techniques to determine best feature descriptors suitable for detecting transitions in a learning video is presented in this dissertation. The videos are indexed with keywords obtained from slides and a correspondence is established by segmenting the video temporally using feature descriptors to match and align the video segments with the presentation slides converted into images. The classroom recordings using regular video cameras often have poor illumination with objects partially or totally occluded. For such videos, slide localization techniques based on segmentation and heuristics is presented to improve the accuracy of the transition detection. A region prioritized ranking mechanism is proposed that integrates the keyword location in the presentation into the ranking of the slides when searching for a slide that covers a given keyword. This helps in getting the most relevant results first. With the increasing size of course materials gathered online, a user looking to understand a given concept can get overwhelmed. The standard way of learning and the concept of “one size fits all” is no longer the best way to learn for millennials. Personalized concept recommendation is presented according to the user’s background knowledge. Finally, the contributions of this dissertation have been integrated into the Ultimate Course Search (UCS), a tool for an effective search of course materials. UCS integrates presentation, lecture videos and textbook content into a single platform with topic based search capabilities and easy navigation of lecture materials

Peer Assessment in EFL Classrooms. A Qualitative Approach to Implementing Peer Assessment in Oral Communicative Learning Activities in EFL Classrooms

This study investigated if any of the reported benefits related to peer assessment in writing could be transferred to oral EFL learning strategies. The study, despite a lack of control groups, sheds light on several aspects which influences peer assessment. The results indicated that the participants benefited from peer modelling and increased self-regulation due to assessing peers, rather than the response received from peers. The design of the study was quite experimental, as it aimed to combine the requirements of applicable criteria related to peer assessment with the complex yet informal nature of spoken language. By using a definition on oral interaction skills provided by the Norwegian Directorate of Education in connection to formal requirements of maritime distress calls, the researcher staged a project which imitated features of spontaneous speech in relation to perception, cognition and production. A group consiting of 14 students attending maritime vocational studies was used as test group

Understanding the Implications of Ubiquitous Mobile Technology for Mature Adults in Post-PC Era Lifelong Learning

Handheld mobile devices open up opportunities and challenges for adult learning in today’s information-rich and technology-abundant world. Some scholars have argued that mature adult learners, most of whom are pre-1982 generations, take up and make use of mobile devices differently from the youth. This qualitative study examines and juxtaposes the lived experiences, opinions, and suggestions from a mature adult sample and a young adult sample in regards to their adoption and use of ubiquitous computing technologies including the tablet. The research findings suggest a coexistence of commonalities and variances within each age group and between the two groups. The tablet technology is perceived by the mature adult sample to be usable and useful, albeit a few technical limits. Still, this device maintains a low to moderate visibility in the learning activities undertaken by the mature adult learners, which can be partially explained by the mature adults’ reserved acceptance of emerging technologies, instant information and online social networking. Social, cultural and technical factors are found to have stronger influences than age on the mature adults’ selective and rationalized use of the tablet technology. By attaching more importance to the mature adults as well as learning from their experiences, insight and judgment, the academy, the industry and the society as a whole can expect more socially aware and more socially responsible technologies, which will, in return, significantly benefit the adult learners in their mobile learning initiatives

A Phenomenological Study of Social Media Usage in Southern Baptist Churches in the Atlanta Metropolitan Area

The purpose of this qualitative phenomenological study was to explore social media usage according to leaders from churches in the Southern Baptist Convention in the Atlanta Metropolitan Area. For this study, social media was defined as any social media networking platform used to share the Gospel. The research was guided by the mathematical theory of communication (Shannon, 2001; Weaver,1953) developed by Shannon, Weaver, Schramm, and Berlo. The communication model effectively understands and explores the literature gap regarding God and how He communicates with His people. The study started with purposeful sampling and recruitment of participants, who then voluntarily completed the survey and took part in a Zoom interview. The study yielded twelve volunteers who took part in all rounds. The study\u27s findings revealed that Facebook was the most extensively used social media channel for sharing the gospel, followed by YouTube and Twitter. Social media was widely used in these Baptist churches. The findings revealed that social media is essential for spreading the gospel online. The findings also revealed that participant church leaders used social media platforms in various methods to spread the gospel