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Eagle, Michael; Barnes, Tiffany – International Educational Data Mining Society, 2015
Interactive problem solving environments, such as intelligent tutoring systems and educational video games, produce large amounts of transactional data which make it a challenge for both researchers and educators to understand how students work within the environment. Researchers have modeled the student-tutor interactions using complex network…
Descriptors: Interaction, Teacher Student Relationship, Intelligent Tutoring Systems, Data
Rihák, Jirí – International Educational Data Mining Society, 2015
In this work we introduce the system for adaptive practice of foundations of mathematics. Adaptivity of the system is primarily provided by selection of suitable tasks, which uses information from a domain model and a student model. The domain model does not use prerequisites but works with splitting skills to more concrete sub-skills. The student…
Descriptors: Mathematics Achievement, Mathematics Skills, Models, Reaction Time
Olsen, Jennifer K.; Aleven, Vincent; Rummel, Nikol – Grantee Submission, 2015
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…
Descriptors: Educational Environment, Predictive Measurement, Predictor Variables, Cooperative Learning
Olsen, Jennifer K.; Aleven, Vincent; Rummel, Nikol – International Educational Data Mining Society, 2015
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…
Descriptors: Educational Environment, Predictive Measurement, Predictor Variables, Cooperative Learning
Larson, Jay – 1986
Success in using a computer in education as a problem-solving tool requires a change in the way of thinking or of approaching a problem. An algorithm, i.e., a finite step-by-step solution to a problem, can be designed around the data processing concepts of input, processing, and output to provide a basis for classifying problems. If educators…
Descriptors: Algorithms, Computers, Data Processing, Educational Change
Glaser, George – 1974
New technical specialties are emerging within the computer industry at a rate threatening the ability of educational institutions to train those who would understand and apply them. The industry's ability to undertake more ambitious projects and to thereby solve more complex problems is limited by an inadequate force of skilled manpower. Thus, it…
Descriptors: Computer Science, Computer Science Education, Data Processing, Management Systems
Aanstoos, Christopher M. – 1985
In this paper the theory that human thinking proceeds according to the computer model, or symbol manipulation, is reviewed and challenged. The research used as subjects five highly rated tournament chess players who "thought aloud" during a chess game to provide tape recorded protocols of decisions made while playing. These protocols…
Descriptors: Cognitive Processes, Cognitive Style, Computer Science, Computer Simulation
Ellis, W. E. – 1975
This presentation discusses the products the South Carolina Department of Education derives from that State's management information system and traces the processes used to deliver those products to local school districts. Emphasis is on a description of the technical assistance the State department of education provides the local school district…
Descriptors: Action Research, Data Processing, Decision Making, Elementary Secondary Education
Martorella, Peter H. – 1984
Six dimensions of computer literacy for social studies educators to address are discussed. In preparing social studies teachers for the 21st century, educators need to determine which aspects of computer literacy are essential to incorporate into teacher education. First, teachers must have knowledge of the basic sources of information, such as…
Descriptors: Communication Skills, Computer Assisted Instruction, Computer Literacy, Computer Managed Instruction