Machine learning-based modeling technology has recently become a powerful technique and tool for developing models for explaining, predicting, and describing system/human behaviors. In developing intelligent education systems or technologies, some research has focused on applying unique machine learning algorithms to build the ad-hoc student…

Educational data mining constitutes a recent research field which gained popularity over the last decade because of its ability to monitor students' academic performance and predict future progression. Numerous machine learning techniques and especially supervised learning algorithms have been applied to develop accurate models to predict…

Automated content generation for educational games has become an emerging research problem, as manual authoring is often time consuming and costly. In this article, we present a procedural content generation framework that intends to produce educational game content from the viewpoint of both designer and user. This framework generates content by…

This study compared the direct, indirect, and total effects of information, communication, and technology (ICT) variables on math achievement for second-generation immigrant, first-generation immigrant, and nonimmigrant students. A path model was used to analyze U.S. nationally representative data from the Program for International Student…

As information and communication technology (ICT) continues to develop, it is essential for teachers to acquire ability for teaching with ICT. In China, new higher education (HE) teachers often lack teaching experience because there are limited teaching opportunities during their postgraduate studies. This status quo may compromise the quality of…

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…

Formulates sequential rules for adapting the appropriate amount of instruction to learning needs in the context of computer-based instruction. Topics include Bayesian decision theory, threshold and linear-utility structure, psychometric model, optimal sequential number of test questions, and an empirical example of sequential instructional…

Discussion of learning environments for distance education based on the World Wide Web (WWW) focuses on how academic institutions can collect and analyze data in order to determine the effectiveness of computer mediated distance learning. Describes three models that use analyses of computerized log files, and presents a case study. (Author/LRW)

Describes a study that investigated the reliability, factorial validity, and fit to a unidimensional model of the Computer Attitude Scale based on pretests and posttests from 265 teachers who participated in training on classroom applications of computer hardware and software. Discussion includes computer anxiety, efficiency, liking, and…

Presents a meta-analysis of research concerning the effectiveness of learner control in tutorial computer-assisted instruction based on a model of control as decision making plus information. Results are discussed which suggest that instructional design in learner control research should be based on model building rather than hypothesis testing.…