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Despite the efforts and global policies to achieve universal primary education, there are still 58 million children, roughly between the ages of 6 and 11, out of school globally. Although previous studies showed the value of serious games for learning, not enough efforts were made to apply serious games to reduce children illiteracy. Understanding the complexity of this problem, we put together a...
Proxy re-encryption (PRE) enables a semi-trustedproxy to transfer Alice's secrets into Bob's secrets but withoutseeing the secrets. This functionality is very interesting formaking balance between the information confidentiality and themutual accessibility in various scenarios such as public cloudstorage systems. During the past decades, many smart PREschemes were built based on intractability assumptions...
By considering the fuzzy collaborative clustering, in this paper we investigate the ranking problem of factor granules, where the factor granule is composed by the patterns, the factors and the factor-induced information. Since the ideology of TOPSIS method is applied to obtain the finial ranking result, a referential factor granule is pre-provided. The collaborative information, i.e., the partition...
This article describes the design and implementation of the course Introduction to Computational Thinking (PC-01) for primary and secondary education. The course introduces the “concepts” and core “processes” of Computational Thinking using a visual programming environment. The design of the course PC-01 includes a set of multimedia content, learning tools and technologies that help teachers and students...
Pedagogic Conversational Agents are interactive educational systems that talk with students about a particular domain assuming the role of teacher, student or colleague. They have been used with good results from the upper areas of education to Primary Education. However, it has not been found examples in the literature of the field on its use in Early Childhood Education. During 2014/2015 several...
Shortage of qualified cybersecurity workforce is a national problem. Without an effective solution, people's daily lives, business operations, and even national security are in jeopardy. Higher education institutions have invested in various approaches to train college students to acquire cybersecurity related knowledge, skills, and abilities. The existing approaches still need improvement and refinement...
In order to better understand the emergence of online social networks, researchers usually employ state of the art synthetic topological models which can replicate some of the observed real-world social network characteristics. However, these characteristics rely on the analysis of common graph metrics at a certain point in time, when the snapshot of the real-world data is obtained. In other words,...
In this paper, we describe a demonstration of remote collaboration system using Empathy glasses. Using our system, a local worker can share a view of their environment with a remote helper, as well as their gaze, facial expressions, and physiological signals. The remote user can send back visual cues via a see-through head mounted display to help them perform better on a real world task. The system...
Learning analytics (LA) is a multidisciplinary area of research, where education, statistics, and technology experts collaborate with other disciplines to get insights from learning data sets. This involves a continuous cycle of gathering data from teachers’ and students’ interactions, filtering and translating it to proper formats, using a wide range of analysis techniques and starting again after...
Teaching a course on game designing and development is as exciting as it is challenging. The "fun" factors have to be combined with art, narration, designing, and logic development. This paper strives to describe the pedagogy used for teaching this challenging course. Also discussed are some of the issues faced for the duration of the courses. Students' projects were implemented using Unity3d...
Computational thinking is central to recent approaches aimed at engaging K-12 students in computer science. Many strategies and metrics have been proposed to foster and measure such skills. The poster presents an empirical study which measures the understanding, recognition and rule construction ability of rising 3rd to 5th grade students from underrepresented communities. This poster also focuses...
The REU Site: Research Experience for Undergraduates in Collaborative Data Visualization Applications (VisREU) is a multi-year, interdisciplinary program that provides research experiences for undergraduates with an interest in visualization. The unique feature of the VisREU site is the paring of undergraduate students with research teams which consist of a research faculty member, graduate students...
Meta-analysis is a quantitative research method for synthesizing research results. This paper explores the application of meta-analysis in educational technology research from 2000. A total of 37 articles from 14 SSCI journals were selected and analyzed with the basic information of the articles, including the publication year and type of cooperation. Then, the moderator variables, such as grade level,...
While most health systems serve the majority of their citizens well, each has its challenges and gaps that lead to inadvertent marginalization of certain populations. The engagement of traditional stakeholders in health - policy makers, patients, health professionals, health administrators - to address these issues are necessary but insufficient if unconventional solutions are to be discovered. Use...
In this paper we evaluate the impact that a Computer Supported Collaborative Marking (CSCM) system has on the marking process of a highly subjective judging task. To do so, we evaluated the inter-rater reliability of reviewers in charge of marking written essays and the time required to perform such task. We analyzed the results of two groups of markers: the experimental group first marked 5 essays...
Instead of hybrid recommendation, recommendation system research mainly focused on improving the traditional algorithm. So, this paper proposes the hybrid recommendation model of commodity based on parallel computing. This model improves the results of the recommendation through combining various ways that have existed in the main e-commerce websites. In this model, there is one big problem that the...
In this paper, we conducted a review of techniques and methods used for collaborative data management for business purposes on the WEB. The aim was to propose a document flow optimization and to offer an information technology support for all departments of an organization. In a business organization or a firm, professionals involved in solving specific tasks either use the same data (common information)...
Some recent work proposed differential private collaborative filtering (DPCF) recommender systems to protect user privacy from indirect access attacks, e.g., KNN attacks. As the cost of such protection, the MAE of recommendation was retained with insignificant increase but the more focused metrics, i.e., the precision and recall of top-k recommendations, degraded unacceptable. To address this problem,...
Content-Centric Networking (CCN) proposals rethink the communication model around named data. In-network caching and multipath routing are regarded as two fundamental features to distinguish the CCN from the current host-centric IP network. In this paper, we tackle the problem of joint collaborative caching and multipath routing in CCN. We achieve this with an online and offline combination caching...
With the rapid development of online social network, people tend to express opinions and obtain information in social network. Due to the overwhelming amount of data in social network, users resort to recommendation system to find appropriate services or items. However, most current recommendation systems rely on the user to calculate the item evaluation results, which has many limitations in the...
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