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Erkens, Melanie; Bodemer, Daniel; Hoppe, H. Ulrich – International Journal of Computer-Supported Collaborative Learning, 2016
Orchestrating collaborative learning in the classroom involves tasks such as forming learning groups with heterogeneous knowledge and making learners aware of the knowledge differences. However, gathering information on which the formation of appropriate groups and the creation of graphical knowledge representations can be based is very effortful…
Descriptors: Cooperative Learning, Information Retrieval, Data Collection, Data Analysis
Matsuda, Noboru; Furukawa, Tadanobu; Bier, Norman; Faloutsos, Christos – International Educational Data Mining Society, 2015
How can we automatically determine which skills must be mastered for the successful completion of an online course? Large-scale online courses (e.g., MOOCs) often contain a broad range of contents frequently intended to be a semester's worth of materials; this breadth often makes it difficult to articulate an accurate set of skills and knowledge…
Descriptors: Online Courses, Skills, Automation, Models
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Shin, Youhyun; Park, Junghyuk; Lee, Sang-goo – Interactive Learning Environments, 2018
Blended learning has steadily gained in popularity at the higher levels of education. This marks a change in pedagogical approaches from one-directional instruction to an interactive and technology-aided class. However, to manage fluent in-class activities and proper data analysis, real-time and fine-grained data collection activities are still…
Descriptors: Class Activities, Data Collection, Blended Learning, Feedback (Response)
Ben-Naim, Dror; Bain, Michael; Marcus, Nadine – International Working Group on Educational Data Mining, 2009
It has been recognized that in order to drive Intelligent Tutoring Systems (ITSs) into mainstream use by the teaching community, it is essential to support teachers through the entire ITS process: Design, Development, Deployment, Reflection and Adaptation. Although research has been done on supporting teachers through design to deployment of ITSs,…
Descriptors: Foreign Countries, Intelligent Tutoring Systems, Computer System Design, Computer Managed Instruction
Stamper, John; Barnes, Tiffany – International Working Group on Educational Data Mining, 2009
We seek to simplify the creation of intelligent tutors by using student data acquired from standard computer aided instruction (CAI) in conjunction with educational data mining methods to automatically generate adaptive hints. In our previous work, we have automatically generated hints for logic tutoring by constructing a Markov Decision Process…
Descriptors: Data Analysis, Computer Assisted Instruction, Intelligent Tutoring Systems, Markov Processes
Rus, Vasile; Lintean, Mihai; Azevedo, Roger – International Working Group on Educational Data Mining, 2009
This paper presents several methods to automatically detecting students' mental models in MetaTutor, an intelligent tutoring system that teaches students self-regulatory processes during learning of complex science topics. In particular, we focus on detecting students' mental models based on student-generated paragraphs during prior knowledge…
Descriptors: Data Analysis, Prior Learning, Cognitive Structures, College Students
Barnes, Tiffany, Ed.; Desmarais, Michel, Ed.; Romero, Cristobal, Ed.; Ventura, Sebastian, Ed. – International Working Group on Educational Data Mining, 2009
The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…
Descriptors: Data Analysis, Educational Research, Conferences (Gatherings), Foreign Countries
Burdick, Evelyn P.; Reda, Denice A. – Educational Technology, 1982
Describes the Personalized Admissions and Advisement System introduced at Triton College, Illinois, to administer student recruitment, admissions, advising, and initial orientation. The article compares the old and the new systems and points out the benefits of the computer-assisted method, particularly as related to speed and ease of data…
Descriptors: Academic Advising, Admissions Counseling, Automation, College Admission
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Haas, Stephanie W. – Journal of the American Society for Information Science, 1997
Describes a method for automatically identifying sublanguage (SL) domain terms and revealing the patterns in which they occur in text. By applying this method to abstracts from a variety of disciplines, differences in how SL domain terminology occurs can be discerned. Findings indicate relatively consistent differences between the hard sciences…
Descriptors: Abstracts, Automation, Classification, Comparative Analysis
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Murphy, David E.; Gulley, Laura L. – Mathematics Teaching in the Middle School, 2005
The story of John Henry provided the setting for sixth-grade class to participate in a John Henry Day of mathematics experiments. The students collected data from experiments where students competed against machines and technology. The student analyzed the data by comparing two box plots, a box plot of human data, and a box plot of machine or…
Descriptors: Folk Culture, Grade 6, Mathematics Instruction, Data Analysis
CIBARICH, AUGUST L.; AND OTHERS – 1964
THIS WAS ONE OF 20 DEMONSTRATION PROJECTS INITIATED IN 11 STATES IN 1961-63 TO GAIN EXPERIENCE WITH LABOR MARKET PROBLEMS ARISING FROM CHANGING TECHNOLOGY AND MASS LAYOFFS. THE FUNDAMENTAL AIM WAS TO COMBINE ACTION AND RESEARCH TO DEMONSTRATE WHAT THE STATE EMPLOYMENT SERVICE COULD DO IN AREAS WHERE THE LABOR MARKET WAS RAPIDLY CHANGING.…
Descriptors: Automation, Clerical Workers, Comparative Analysis, Data Processing
Blue, Richard I.; Schramm, Robert M. – 1993
A 1990 survey of 68 records management operations in Wisconsin indicates current practices regarding records retention schedules, retention audits, use of computers, record destruction practices, and the effects of federal legislation on records management operations. The 1990 survey results are compared to similar surveys in the 1970s and 1980s.…
Descriptors: Administrators, Archives, Automation, Comparative Analysis
CROSSMAN, EDWARD R.F.W.; AND OTHERS – 1966
THE MAJOR OBJECTIVE WAS TO TEST THE HYPOTHESIS THAT THE HIGHEST LEVELS OF MECHANIZATION AND AUTOMATION GENERALLY REQUIRE LOWER LEVELS OF SKILLS THAN EARLIER PRODUCTION SYSTEMS. A SECONDARY OBJECTIVE WAS TO DEVELOP AN INSTRUMENT CAPABLE OF GIVING UNBIASED PROJECTIONS OF THE MANPOWER IMPACT OF SPECIFIC ADVANCES IN PRODUCTION TECHNOLOGY. DEPENDENT…
Descriptors: Administrative Policy, Aerospace Industry, Automation, Banking
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers