NEXT LEVEL: A COURSE RECOMMENDER SYSTEM BASED ON CAREER INTERESTS

Skills-based hiring is a talent management approach that empowers employers to align recruitment around business results, rather than around credentials and title. It starts with employers identifying the particular skills required for a role, and then screening and evaluating candidates’ competencies against those requirements. With the recent rise in employers adopting skills-based hiring practices, it has become integral for students to take courses that improve their marketability and support their long-term career success. A 2017 survey of over 32,000 students at 43 randomly selected institutions found that only 34% of students believe they will graduate with the skills and knowledge required to be successful in the job market. Furthermore, the study found that while 96% of chief academic officers believe that their institutions are very or somewhat effective at preparing students for the workforce, only 11% of business leaders strongly agree [11]. An implication of the misalignment is that college graduates lack the skills that companies need and value. Fortunately, the rise of skills-based hiring provides an opportunity for universities and students to establish and follow clearer classroom-to-career pathways. To this end, this paper presents a course recommender system that aims to improve students’ career readiness by suggesting relevant skills and courses based on their unique career interests

Re-Taking the Test

Application of Avital Ronnell's theory of the "test drive" to high-stakes standardized testing in K-12 schooling

NLP-based personal learning assistant for school education

Computer-based knowledge and computation systems are becoming major sources of leverage for multiple industry segments. Hence, educational systems and learning processes across the world are on the cusp of a major digital transformation. This paper seeks to explore the concept of an artificial intelligence and natural language processing (NLP) based intelligent tutoring system (ITS) in the context of computer education in primary and secondary schools. One of the components of an ITS is a learning assistant, which can enable students to seek assistance as and when they need, wherever they are. As part of this research, a pilot prototype chatbot was developed, to serve as a learning assistant for the subject Scratch (Scratch is a graphical utility used to teach school children the concepts of programming). By the use of an open source natural language understanding (NLU) or NLP library, and a slackbased UI, student queries were input to the chatbot, to get the sought explanation as the answer. Through a two-stage testing process, the chatbot’s NLP extraction and information retrieval performance were evaluated. The testing results showed that the ontology modelling for such a learning assistant was done relatively accurately, and shows its potential to be pursued as a cloud-based solution in future

Improving Qualitative Assessment In Higher Education

This dissertation considers in turn the role education plays in civil, democratic society; the role assessment plays in education; and the role theoretical constructs and cultural contexts play in assessment. Then, through literature review, document analysis, and interviews, the analysis investigates, identifies, and recommends grounded-theory-derived practices for improving qualitative assessment in higher education settings. The process of qualitative assessment is understood as being heuristic and continual, requiring re-examination and revision to maintain both its validity and reliability. To this end, rubrics are essential to efficiently and reliably assessing everything qualitative, whereas the realities of institutional culture and politics require adroit leadership from educators and administrators, drawing from manifest praxes in organizational theory, management theory, and political theory, to affect progressive change

A User-Centered Approach to the Development of a History Domain Ontology: Helping Teachers Use Digital Primary Sources

The use of primary source materials is recognized as key to supporting inquiry-based history and social studies education. The extensive digitization of library, museum, and other cultural heritage collections represents an important resource for teachers as they strive to develop their students. critical thinking skills. Yet, searching and selecting digital primary sources appropriate for classroom use can be difficult and time-consuming. This study investigates the design requirements and the potential usefulness of a domain-specific ontology to facilitate access to, and use of, a collection of digital primary source materials developed by the University Library of the University of North Carolina at Chapel Hill (UNC-CH). During a three-phase study an ontology model was designed and evaluated with the involvement of social studies teachers identified as the primary community of end users. The findings revealed that the design of the ontology was appropriate to support the information needs of the teachers and was perceived as a potentially useful tool to enhance access and facilitate inquiry-based instruction. The primary contribution of this dissertation is the introduction of an approach to ontology development that is user-centered and designed to facilitate access to digital cultural heritage materials. This study also contributes to the growing body of literature on teachers. use of digital libraries and primary source materials, especially in the area of social studies education

Infrastructural Cinema: Seeing Energy on Film in the Long 1930s

American energy and infrastructure are at points of major reckoning. Electrical grids suffer major outages, while climate change threatens every known way of harnessing energy resources. But how did we get here? My dissertation, “Infrastructural Cinema: Seeing Energy on Film in the Long 1930s” analyzes the characterization of energy resources in American government and corporate films from the 1920s-1930s, or “infrastructural cinema.” Specifically, I interrogate how infrastructural cinema has affected our understanding of how to control and manage energy, and to what extent our reliance on such infrastructures limits present-day energy solutions. Infrastructural cinema is concerned with how energy and its networks are made cinematic: how does film both mediate our understanding of natural resources and act as an infrastructure itself? It is a concept born at the nexus of modernity, media, aesthetics, technology, ecology, and the nonhuman. I pursue infrastructural cinema as a media technology and a cultural technology—an ideological apparatus—often kept hidden from sight. This analysis reveals the intentionality of both energy and filmic systems that may otherwise be invisible or normalized, even to the point of being interpreted as neutral. Such a history of infrastructural cinema focuses on the constructedness of both cinema and infrastructure and questions the acceptance of certain infrastructures as central to human culture, primarily those that extract, transform, harness, or deliver natural resources to humans as energy. For example, the “pipelines alive with racing oil” deemed necessary in More Power To You (1939) crisscross native land and threaten ecologies. My first chapter historicizes nonfiction film and focuses on the sociocultural context of the 1920s-1930s. Chapters 2, 3, and 4 analyze films about hydroelectric dams, oil and gas infrastructure, and electrical infrastructure respectively. Understanding this archive offers ways to address the infrastructural zeitgeist of the present and encourages new visions for life after energy extraction

Computer Science & Technology Series : XXI Argentine Congress of Computer Science. Selected papers

CACIC’15 was the 21thCongress in the CACIC series. It was organized by the School of Technology at the UNNOBA (North-West of Buenos Aires National University) in Junín, Buenos Aires. The Congress included 13 Workshops with 131 accepted papers, 4 Conferences, 2 invited tutorials, different meetings related with Computer Science Education (Professors, PhD students, Curricula) and an International School with 6 courses. CACIC 2015 was organized following the traditional Congress format, with 13 Workshops covering a diversity of dimensions of Computer Science Research. Each topic was supervised by a committee of 3-5 chairs of different Universities. The call for papers attracted a total of 202 submissions. An average of 2.5 review reports werecollected for each paper, for a grand total of 495 review reports that involved about 191 different reviewers. A total of 131 full papers, involving 404 authors and 75 Universities, were accepted and 24 of them were selected for this book.Red de Universidades con Carreras en Informática (RedUNCI

Computer Science & Technology Series : XXI Argentine Congress of Computer Science. Selected papers

CACIC’15 was the 21thCongress in the CACIC series. It was organized by the School of Technology at the UNNOBA (North-West of Buenos Aires National University) in Junín, Buenos Aires. The Congress included 13 Workshops with 131 accepted papers, 4 Conferences, 2 invited tutorials, different meetings related with Computer Science Education (Professors, PhD students, Curricula) and an International School with 6 courses. CACIC 2015 was organized following the traditional Congress format, with 13 Workshops covering a diversity of dimensions of Computer Science Research. Each topic was supervised by a committee of 3-5 chairs of different Universities. The call for papers attracted a total of 202 submissions. An average of 2.5 review reports werecollected for each paper, for a grand total of 495 review reports that involved about 191 different reviewers. A total of 131 full papers, involving 404 authors and 75 Universities, were accepted and 24 of them were selected for this book.Red de Universidades con Carreras en Informática (RedUNCI

SWA-KMDLS: An Enhanced e-Learning Management System Using Semantic Web and Knowledge Management Technology

In this era of knowledge economy in which knowledge have become the most precious resource, surveys have shown that e-Learning has been on the increasing trend in various organizations including, among others, education and corporate. The use of e-Learning is not only aim to acquire knowledge but also to maintain competitiveness and advantages for individuals or organizations. However, the early promise of e-Learning has yet to be fully realized, as it has been no more than a handout being published online, coupled with simple multiple-choice quizzes. The emerging of e-Learning 2.0 that is empowered by Web 2.0 technology still hardly overcome common problem such as information overload and poor content aggregation in a highly increasing number of learning objects in an e-Learning Management System (LMS) environment. The aim of this research study is to exploit the Semantic Web (SW) and Knowledge Management (KM) technology; the two emerging and promising technology to enhance the existing LMS. The proposed system is named as Semantic Web Aware-Knowledge Management Driven e-Learning System (SWA-KMDLS). An Ontology approach that is the backbone of SW and KM is introduced for managing knowledge especially from learning object and developing automated question answering system (Aquas) with expert locator in SWA-KMDLS. The METHONTOLOGY methodology is selected to develop the Ontology in this research work. The potential of SW and KM technology is identified in this research finding which will benefit e-Learning developer to develop e-Learning system especially with social constructivist pedagogical approach from the point of view of KM framework and SW environment. The (semi-) automatic ontological knowledge base construction system (SAOKBCS) has contributed to knowledge extraction from learning object semiautomatically whilst the Aquas with expert locator has facilitated knowledge retrieval that encourages knowledge sharing in e-Learning environment. The experiment conducted has shown that the SAOKBCS can extract concept that is the main component of Ontology from text learning object with precision of 86.67%, thus saving the expert time and effort to build Ontology manually. Additionally the experiment on Aquas has shown that more than 80% of users are satisfied with answers provided by the system. The expert locator framework can also improve the performance of Aquas in the future usage. Keywords: semantic web aware – knowledge e-Learning Management System (SWAKMDLS), semi-automatic ontological knowledge base construction system (SAOKBCS), automated question answering system (Aquas), Ontology, expert locator