Recently, deep learning has become a pervasive tool in prediction problems for structured and/or unstructured big data in various areas including science and engineering. In particular, deep neural network models (i.e. a basic core model of deep learning) can be viewed as an extension of statistical models by going through the incorporation of…

The selection and ordering of response units (phonemes, letters, keystrokes) represents a transversal issue across different modalities of language production. Here, the issue of serial order was investigated with respect to typewriting. Following seminal investigations in the spoken modality, we conducted an experiment where participants typed as…

This article is a revised version of the keynote presented at LAK '16 in Edinburgh. The article investigates some of the assumptions of learning analytics, notably those related to behaviourism. Building on the work of Ivan Pavlov, Herbert Simon, and James Gibson as ways of "learning as a machine," the article then develops two levels of…

Student models for adaptive systems may not model collaborative learning optimally. Past research has either focused on modeling individual learning or for collaboration, has focused on group dynamics or group processes without predicting learning. In the current paper, we adjust the Additive Factors Model (AFM), a standard logistic regression…

Student models for adaptive systems may not model collaborative learning optimally. Past research has either focused on modeling individual learning or for collaboration, has focused on group dynamics or group processes without predicting learning. In the current paper, we adjust the Additive Factors Model (AFM), a standard logistic regression…

The Bloomington Project School (BPS) is a charter school that has successfully adopted and implemented several learner-centered educational strategies. This case study offers a glimpse into its student-centered, collaborative, and interdisciplinary learning and teaching processes; its mastery-based assessment process; and its successful technology…

Learning environments aim to deliver efficacious instruction, but rarely take into consideration the motivational factors involved in the learning process. However, motivational aspects like engagement play an important role in effective learning-engaged learners gain more. E-Learning systems could be improved by tracking students' disengagement…

BECAUSE OF GROUNDWORK ACCOMPLISHED IN THE COMPREHENSIVE PROJECT FOR IMPROVEMENT IN LEARNING AND OTHER COMPLEMENTARY FACTORS, THE SCHOOL DISTRICT OF UNIVERSITY CITY, MISSOURI, BELIEVES IT IS IN THE UNIQUE POSITION OF BEING ABLE TO COMPLETELY REVAMP ITS EDUCATIONAL STRUCTURE, RATHER THAN RENOVATING PIECEMEAL THE EXISTING FRAMEWORK, AS IS COMMONLY…

THE "CASE" PROGRAM WAS DEVELOPED TO PROVIDE A VEHICLE FOR UNDERSTANDING THE PSYCHOLOGICAL PROCESSES INVOLVED IN CONCEPT LEARNING BY MEANS OF COMPUTER SIMULATION TECHNIQUES. BECAUSE THE MAJORITY OF PUBLISHED "SIMULATION OF CONCEPT LEARNING" PROGRAMS PROVIDED FEW INSIGHTS INTO THE LEARNING PROCESS, THE "CASE" PROGRAM…

Describes hypertext as software that improves the learner's control over a knowledge base, and discusses the role hypertext could play in compact disc technologies. Digital multimedia learning materials are discussed; relationships among data, information, knowledge, and expertise are explored; and examples of applications of compact disc media…

Defines cognitive computer tools as software programs that use the control capabilities of computers to amplify, extend, or enhance human cognition; suggests seven ways in which computers can aid learning; and describes the "Learning Tool," a software package for the Apple Macintosh microcomputer that is designed to aid learning of…

To assist the formation of IMS (Instructional Management System) configurations, three categories of characteristics are developed and explained. Categories 1 and 2 emphasize automation, and the necessity of forming workable configurations to carry out instructional management for Southwest Regional Laboratory developed instructional and/or…

The 4th International Conference on Educational Data Mining (EDM 2011) brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large datasets to answer educational research questions. The conference, held in Eindhoven, The Netherlands, July 6-9, 2011, follows the three previous editions…

Current information systems streamline traditional information and seldom describe the relationship between two data sets (like test scores and GPAs) or between teaching and learning transactions. Transaction processing systems need to be developed for schools. Teachers' knowledge of student learning is essential for developing responsive…

The work of a three-year series of experimental studies of human cognition is summarized in this report. Proglem solving and learning in man-machine interaction was investigated, as well as relevant variables and processes. The work included four separate projects: (1) computer-aided problem solving, (2) computer-aided instruction techniques, (3)…