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Preface to the Special Issue on Creating and Improving Adaptive Learning: Smart Authoring Tools and Processes
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Olney, Andrew M.; Gilbert, Stephen B.; Rivers, Kelly – Grantee Submission, 2021
Cyberlearning technologies increasingly seek to offer personalized learning experiences via adaptive systems that customize pedagogy, content, feedback, pace, and tone according to the just-in-time needs of a learner. However, it is historically difficult to: (1) create these smart learning environments; (2) continuously improve them based on…
Descriptors: Educational Technology, Computer Assisted Instruction, Learning Analytics, Intelligent Tutoring Systems
Rule Based Adaptive User Interface for Adaptive E-Learning System
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Kolekar, Sucheta V.; Pai, Radhika M.; M. M., Manohara Pai – Education and Information Technologies, 2019
The term Adaptive E-learning System (AES) refers to the set of techniques and approaches that are combined together to offer online courses to the learners with the aim of providing customized resources and interfaces. Most of these systems focus on adaptive contents which are generated to the learners without considering the learning styles of…
Descriptors: Computer Interfaces, Computer Assisted Instruction, Electronic Learning, Online Courses
Implementation of an Adaptive Learning System Using a Bayesian Network
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Yasuda, Keiji; Kawashima, Hiroyuki; Hata, Yoko; Kimura, Hiroaki – International Association for Development of the Information Society, 2015
An adaptive learning system is proposed that incorporates a Bayesian network to efficiently gauge learners' understanding at the course-unit level. Also, learners receive content that is adapted to their measured level of understanding. The system works on an iPad via the Edmodo platform. A field experiment using the system in an elementary school…
Descriptors: Adaptive Testing, Bayesian Statistics, Networks, Computer Assisted Instruction
SIMCA T 1.0: A SAS Computer Program for Simulating Computer Adaptive Testing
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Raiche, Gilles; Blais, Jean-Guy – Applied Psychological Measurement, 2006
Monte Carlo methodologies are frequently applied to study the sampling distribution of the estimated proficiency level in adaptive testing. These methods eliminate real situational constraints. However, these Monte Carlo methodologies are not currently supported by the available software programs, and when these programs are available, their…
Descriptors: Computer Assisted Instruction, Computer Software, Sampling, Adaptive Testing
Microcomputer Support in Basic Statistics Instruction.
Schafer, William D; Johnson, Charles E. – 1985
This paper presents examples of effective uses of microcomputers to support basic statistics instruction. All programs are written in Applesoft BASIC for Apple II Plus microcomputers and compatible equipment. They have been field tested in statistics courses at the University of Maryland. Microcomputers can be used with color monitors for…
Descriptors: Adaptive Testing, Computer Assisted Instruction, Computer Assisted Testing, Courseware
MCATL: A Language for Authoring Computerized Adaptive Tests.
Vale, C. David – 1985
The specification of a computerized adaptive test, like the specification of computer-assisted instruction, is easier and can be done by personnel who are not proficient in computer programming if an authoring language is provided. The Minnesota Computerized Adaptive Testing Language (MCATL) is an authoring language specifically designed for…
Descriptors: Adaptive Testing, Authoring Aids (Programing), Branching, Computer Assisted Instruction