This case study examines employee attrition, its detrimental effects on businesses, and the potential of data analytics to address this challenge. By employing Latent Dirichlet Allocation (LDA), a sophisticated NLP technique, we delve into the underlying reasons for employee departures. Additionally, we explore using RapidMiner to develop…

This paper describes a neural network model that can be used to detect at- risk students failing a particular course using only grade book data from a learning management system. By analyzing data extracted from the learning management system at the end of week 5, the model can predict with an accuracy of 88% whether the student will pass or fail…

Knowledge components (KCs) have many applications. In computing education, knowing the demonstration of specific KCs has been challenging. This paper introduces an entirely data-driven approach for: (1) discovering KCs; and (2) demonstrating KCs, using students' actual code submissions. Our system is based on two expected properties of KCs: (1)…

In the age of big data and analytics, it is important that students learn about artificial intelligence (AI) and machine learning (ML). Machine learning is a discipline that focuses on building a computer system that can improve itself using experience. ML models can be used to detect patterns from data and recommend strategic marketing actions.…

Since MOOC is suffering high dropout rate, researchers try to explore the reasons and mitigate it. Focusing on this task, we employ a composite model to infer behaviors of learners in the coming weeks based on his/her history log of learning activities, including interaction with video lectures, participation in discussion forum, and performance…

Prior research in higher education shows that engagement has been inconsistently conceptualized: semantic inconsistency has been compounded by variations in the constructs used to operationalize engagement. Acknowledging these limitations, we conceptualize student engagement as a multi-faceted meta-construct, overcoming some of the limitations…

There are two primary challenges for instructors in offering a high-quality course at large scale. The first is scaling educational experiences to such a large audience. The second major challenge encountered is that of enabling adaptivity of the educational experience. This thesis addresses both major challenges in the way of high-quality…

The field of learning analytics is rapidly developing techniques for using data captured during online learning. In this article, we develop an additional application: the use of analytics for improving implementation fidelity in a randomized controlled efficacy trial. In an efficacy trial, the goal is to determine whether an innovation has a…

This teaching case discusses the analysis of an electronic voting system. The development of the case was motivated by research into information security and management, but as it includes procedural aspects, organizational structure and personnel, it is a suitable basis for all aspects of systems analysis, planning and design tasks. The material…

In this paper we present an artifacts-based approach to teaching a senior level Object-Oriented Analysis and Design course. Regardless of the systems development methodology and process model, and in order to facilitate communication across the business modeling, analysis, design, construction and deployment disciplines, we focus on (1) the…

The purpose of the study is to describe student's performance in tutorial online (tuton) of Social Studies through developing the 5Es--Engage Explore, Explain, Elaborate, and Evaluate--Learning Cycle Model (the 5Es-LCM). The study conducted at UT-Online portal uses the Research and Development (R&D) method. The research subjects consisted of…

Embedded librarians in online courses provide a wealth of service and information to students. Though students indicate that these services are valuable, the librarians providing embedded services frequently note that these projects are very time consuming. This study examines the provision of a less time-intensive model of embedded librarianship…

This study attends to the possibilities of analyzing students' writings at a lexicogrammatical level in terms of their use of linguistic resources, and the insights afforded by this approach into the challenges students faced when they employed the language of school science related to the phenomenon of expansion. For the purpose of this study,…

By using a sample of 1st-year undergraduate business students, this study dealt with the development of simple (deterministic and non-optimization) spreadsheet models of income statements within an introductory course on business informatics. The study examined students' errors in doing this for business situations of their choice and found three…

This is the final external evaluation report prepared by SRI International for the Rural Math Excel Partnership (RMEP) project, an investing in innovation (i3) development project funded by the U.S. Department of Education. Operated by Virginia Advanced Study Strategies, Inc. (VASS), the RMEP project included six rural school districts (LEAs) in…