Mobile application developers rely largely on user reviews for identifying issues in mobile applications and meeting the users' expectations. User reviews are unstructured, unorganized and very informal. Identifying and classifying issues by extracting required information from reviews is difficult due to a large number of reviews. To automate the…

This article describes how with a non-formal education, a scholar has to choose courses among various domains to meet the research aims. In spite of this, the availability of large number of courses, makes the process of selecting the appropriate course a tedious, time-consuming, and risky decision, and the course selection will directly affect…

Currently the challenges in e-Learning are converging the learning content from various sources and managing them within e-learning practices. Data mining learning algorithms can be used and the contents can be converged based on the Metadata of the objects. Ensemble methods use multiple learning algorithms and it can be used to converge the…

Purpose: This paper aims to present a model for the quality assurance of digital educational material that is appropriate for adult education. The proposed model adopts the software quality standard ISO/IEC 9126 and takes into account adult learning theories, Bloom's taxonomy of learning objectives and two instructional design models: Kolb's model…

As tablet technologies continue to evolve, the emergence of educational applications (apps) is impacting the work of teacher educators. Beyond online lists of best apps for education and recommendations from colleagues, teacher educators have few resources available to support their teaching of how to select educational apps. In response, this…

The purpose of this mixed methods study was to employ the International Society for Technology in Education (ISTE) Standards for Students as taxonomy to classify educational mobile application (app) software into seven categories and empirically examine the influence on students' technology literacy. A purposeful sample of fifth grade core subject…

This Spotlight focuses on data from the 2013 Core Data Service (CDS) to better understand how higher education institutions approach learning management systems (LMSs). Information provided for this Spotlight was derived from Module 8 of the Core Data Service, which contains several questions regarding information systems and applications.…

In this article the author focuses on signature pedagogies that are associated with different forms of educational technologies. The author categorizes forms of technologies that support the teaching and learning of mathematics in different ways, and identifies signature pedagogies associated with each category. Outcomes and impacts of different…

The intelligent learning systems provide direct customized instruction to the learners without the intervention of human tutors on the basis of Semantic Web resources. Principal roles use ontologies as instruments for modeling learning processes, learners, learning disciplines and resources. This paper examines the variety, relationships, and…

This article reports on Blackboard, a course-management system used by the University of Maryland-Baltimore County to rate and track the "most active instructors" using the university's course-management system. Just about every college has such a system these days, designed to track assignments and manage online class discussions, but…

To correctly evaluate learners' knowledge, it is important to administer tests composed of good quality question items. By the term "quality" we intend the potential of an item in effectively discriminating between skilled and untrained students and in obtaining tutor's desired difficulty level. This article presents a rule-based e-testing system…

This paper presents the findings from a survey of marketing research faculty. The study finds SPSS is the most used statistical software, that cross tabulation, single, independent, and dependent t-tests, and ANOVA are among the most important statistical tools according to respondents. Bivariate and multiple regression are also considered…

Discusses students' learning engagement and describes a study that investigated whether teachers could accurately judge elementary school students' learning engagement with educational software. Explains teacher's use of a seven-level taxonomy to rate the frequency of different forms of engagement among 42 students interacting with different types…

This article presents a general framework for building conceptbased digital course libraries. The framework is based on the idea of using a conceptual structure that represents a subject domain ontology for classification of the course library content. Two aspects, domain conceptualization, which supports findability and ontologies, which support…

Briefly discusses three different approaches to instruction and differences between education and training, and proposes a system for categorizing different types of instructional software currently available: memorization software for education (drill and practice) and for training (simulations), and performance aid software (intelligent computer…