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Il Do Ha – Measurement: Interdisciplinary Research and Perspectives, 2024
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…
Descriptors: Artificial Intelligence, Statistical Analysis, Models, Algorithms
Scaltritti, Michele; Longcamp, Marieke; Alario, F. -Xavier – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2018
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…
Descriptors: Office Occupations, Serial Ordering, Word Order, Psychomotor Skills
Hildebrandt, Mireille – Journal of Learning Analytics, 2017
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…
Descriptors: Behaviorism, Data Processing, Profiles, Learning Processes
Dutta, Pratima – Educational Technology, 2014
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…
Descriptors: Educational Strategies, Student Centered Curriculum, Program Implementation, Charter Schools
Cocea, M.; Weibelzahl, S. – IEEE Transactions on Learning Technologies, 2011
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…
Descriptors: Prediction, Electronic Learning, Online Courses, Delivery Systems

Megarry, Jacquetta – British Journal of Educational Technology, 1988
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…
Descriptors: Computer Assisted Instruction, Computer Software, Data Processing, Information Systems
Kozma, Robert B. – Educational Technology, 1987
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…
Descriptors: Cognitive Development, Cognitive Processes, Computer Assisted Instruction, Computer Software
Koerner, Thomas K.; Elford, George – High School Magazine, 1999
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…
Descriptors: Accountability, Administrative Problems, Attendance, Competency Based Education