The global outbreak of the new coronavirus epidemic has promoted the development of intelligent education and the utilization of online learning systems. In order to provide students with intelligent services, such as cognitive diagnosis and personalized exercises recommendation, a fundamental task is the concept tagging for exercises, which…

With the emergence of technology, the personalization of e-learning systems is enhanced. These systems use a set of parameters for personalizing courses. However, in literature, these parameters are not based on classification and optimization algorithms to implement them in the cloud. Cloud computing is a new model of computing where standard and…

Learning systems can utilize many practice exercises, ranging from simple multiple-choice questions to complex problem-solving activities. In this article, we propose a classification framework for such exercises. The framework classifies exercises in three main aspects: (1) the primary type of interaction; (2) the presentation mode; and (3) the…

Existing personalized learning systems (PLSs) have primarily focused on providing learning analytics using data from learners. In this paper, we extend the capability of current PLSs by incorporating data from instructors. We propose a latent factor model that analyzes instructors' preferences in explicitly "excluding" particular…

The increasing amount of available subjective text data in internet such as product reviews, movie critiques and social media comments provides golden opportunities for information retrieval researchers to extract useful information out of such datasets. Topic modeling and sentiment analysis are two widely researched fields that separately try to…

Gifted students, because of their advanced development compared to peers, have emotional needs that require differentiated education programs. Asynchronous social and emotional development of gifted students often leads to identity issues. Cinematherapy can be used to help gifted students explore their identities through analysis of the actions of…

A model of three types of experiential learning is presented, showing significant differences in learning objectives, designs, and means for evaluation among them. Emphasis is noted on the importance in program design of clarity regarding matching experiential learning type with specifically identified objectives. (Author/MLW)

Precise guidelines for designing and developing curriculum materials from vigorously defined behavioral objectives are presented. The guidelines are designed to enable an educator to identify all the objectives appropriate for a unit of instruction, to define a procedure for ordering or programing objectives into an educational sequence, and to…

A two-part communication model for teaching elementary mathematics is proposed. Part I delineates symbols commonly used in teaching arithmetic. Parts of mathematical language (mathematical objects, relations, operations, expressions, and sentences) are compared to analogous parts of the English language. Part 2 is a conceptualization of strategies…

The Primary Education Project (PEP) is concerned with the development and evaluation of a model of individualized education for young children suitable for implementation in American public schools at the preschool through primary grade level. It is concerned with all aspects of school functioning: curriculum, classroom organization, teacher…

The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…