The distributed practice effect suggests that students retain learning content better when they pace their practice over time. The key factors are practice dosage (intensity) and timing (when to practice and how in between). Inspired by the thriving development of image recognition, this study adopts one of the successful techniques,…

Feature engineering, the construction of contextual and relevant features from system log data, is a crucial component of developing robust and interpretable models in educational data mining contexts. The practice of feature engineering depends on domain experts and system developers working in tandem in order to creatively identify actions and…

Effectively estimating student enrollment and recruiting students is critical to the success of any university. However, despite having an abundance of data and researchers at the forefront of data science, traditional universities are not fully leveraging machine learning and data mining approaches to improve their enrollment management…

Academic achievement of a student in college always has a far-reaching impact on his further development. With the rise of the ubiquitous sensing technology, students' digital footprints in campus can be collected to gain insights into their daily behaviours and predict their academic achievements. In this paper, we propose a framework named…

This paper describes a multiple criteria approach based on a hybrid method of Collaborative Filtering (CF) and ContentBased Filtering (CBF) for discovering the most relevant criteria which could affect the elective course recommendation for university students. In order to determine which factors are the most important, it is proposed a genetic…

One of the main problems faced by university students is to create and manage the semester course plan. In this paper, we present a course enrollment recommender system based on data mining techniques. The system mainly helps with students' enrollment decisions. More specifically, it provides recommendation of selective and optional courses with…

The field of education is undergoing fundamental change with the growing use of data. Fine-scale data collection at the item-response level is now possible. Xerox has developed a system that bridges the paper-to-digital divide by providing the well-established and easy-to-use paper interface to students, but digitizes the responses for scoring,…

During the semester break, 36 second-grade students accessed a set of resources and completed a series of online math activities focused on the application of the model method for arithmetic in two contexts 1) addition/subtraction and 2) multiplication/division. The learning environment first modeled and then supported the use of a scripted series…

With the increasing complexity of technology and large quantities of data in our digital age, learning and training has become a major cost of employers. Employee competence depends more and more on how quickly one can acquire new knowledge and solve problems to meet pressing deadlines. This paper presents a practical method to use REU (Research…

This paper presents a model which can automatically detect a variety of student speech acts as students collaborate within a computer supported collaborative learning environment. In addition, an analysis is presented which gives substantial insight as to how students' learning is associated with students' speech acts, knowledge that will…

The research deals with the analysis of efficiency of the process of teaching and learning with use of the social dimension of Web 2.0 within the English for Specific Purposes course in pre-school and primary teacher education that would help students to become more cognizant and more responsive to the emerging needs of the market for educational…

This paper outlines the potential benefits of using computers to enhance the action research process for classroom teachers. An argument is made for classifying action research as a type of qualitative methodology. This argument is then used to apply the literature on computer use in qualitative research to its use in action research; advantages…

Based on the recommendations of previous research, this study discusses and analyzes the usage of technology and instructional materials in a broad level in the United States. The National Education Longitudinal Study: 1988-96 (NELS88) is a longitudinal study of the 1988 eighth graders by the National Center for Education Statistics (NCES). The…

This case study investigates the commercialized nature of Internet content and the ways educators and students negotiate and talk about such content. In factoring in the economic and historical context of educational Internet content, this case study also addresses educators' evolving attitudes towards commercialism in the classroom. A survey was…

This research aims at examining the relationships among unethical computer usage behavior and the personality characteristics of locus of control, adjustment to social norms, antisocial tendency, and aggression on Turkish university students. The research was applied to 217 university students. Data were collected through Unethical Computer Using…