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Sarwar, Sohail; García-Castro, Raul; Qayyum, Zia Ul; Safyan, Muhammad; Munir, Rana Faisal – International Association for Development of the Information Society, 2017
Learner categorization has a pivotal role in making e-learning systems a success. However, learner characteristics exploited at abstract level of granularity by contemporary techniques cannot categorize the learners effectively. In this paper, an architecture of e-learning framework has been presented that exploits the machine learning based…
Descriptors: Student Characteristics, Profiles, Courseware, Electronic Learning
Sabitha, A. Sai; Mehrotra, Deepti; Bansal, Abhay – Education and Information Technologies, 2017
Currently the challenges in e-Learning are converging the learning content from various sources and managing them within e-learning practices. Data mining learning algorithms can be used and the contents can be converged based on the Metadata of the objects. Ensemble methods use multiple learning algorithms and it can be used to converge the…
Descriptors: Electronic Learning, Metadata, Computer System Design, Design Preferences
Antoniadou, Victoria – Research-publishing.net, 2017
Reflecting the inter-connected reality of today's world, contemporary education is striving to keep up with the exponentially rapid changes that individuals around the globe are facing. Innovative educational proposals carry labels such as connective learning (Downes, 2006), e-learning 2.0 (Downes, 2005), education 2.0 (Carr et al., 2008), or…
Descriptors: Data Collection, Data Analysis, Qualitative Research, Data Processing
Gee, Kevin A. – American Journal of Evaluation, 2014
The growth in the availability of longitudinal data--data collected over time on the same individuals--as part of program evaluations has opened up exciting possibilities for evaluators to ask more nuanced questions about how individuals' outcomes change over time. However, in order to leverage longitudinal data to glean these important insights,…
Descriptors: Longitudinal Studies, Data Analysis, Statistical Studies, Program Evaluation
Barton, Erin E.; Reichow, Brian – Journal of Early Intervention, 2012
The interpretation of single-case data requires systematic visual analysis across and within conditions. Graphs are a vital component for analyzing and communicating single-case design data and a necessary tool for applied researchers and practitioners. Several articles have been published with task analyses for graphing data with the new versions…
Descriptors: Computer Literacy, Guidelines, Graphs, Computer Software
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
Interactive Computer Based Assessment Tasks: How Problem-Solving Process Data Can Inform Instruction
Zoanetti, Nathan – Australasian Journal of Educational Technology, 2010
This article presents key steps in the design and analysis of a computer based problem-solving assessment featuring interactive tasks. The purpose of the assessment is to support targeted instruction for students by diagnosing strengths and weaknesses at different stages of problem-solving. The first focus of this article is the task piloting…
Descriptors: Computer Assisted Testing, Computer Uses in Education, Problem Solving, Evaluation Methods
Peer reviewedBoulet, Marie-Michele – Computers and Education, 1987
Presents a detailed analysis of courseware design activities based upon the use of conceptual data models for content elaboration. Highlights include discussions of computerized training systems, authoring languages and authoring systems, and the distinction between processing and data. (Author/LRW)
Descriptors: Authoring Aids (Programing), Computer Assisted Instruction, Courseware, Data Processing
Peer reviewedValdez, Gilbert – Educational Leadership, 1986
The use of modern technology in education has reached a turning point. Equipment found in schools is increasing, and computer-assisted instruction has been shown to achieve positive results. Learning to use computer utilities and databases should be given high priority. (MD)
Descriptors: Computer Assisted Instruction, Computer Software, Computers, Courseware
Manitoba Dept. of Education and Training, Winnipeg. – 1993
This guide is intended for use in a course to help students become familiar with computer disk operating systems and the applications of various types of computer software. The first third of the guide contains the following: a profile of the critical skills required for the Canadian work force, a flowchart of the recommended sequence of studies…
Descriptors: Business Education, Computer Software, Courseware, Data Processing
Terry, Ronald J.; And Others – Collegiate Microcomputer, 1989
Describes a computer program designed to enable undergraduate students to apply computer skills for data acquisition and processing in experimental chemistry. An example is given that examines the absorption spectra of conjugated molecules such as carbocyanine dyes, and the free electron model is explained. (six references) (LRW)
Descriptors: Chemistry, Computer Assisted Instruction, Courseware, Data Collection
Peer reviewedWoodrow, Janice E. J. – Journal of Computers in Mathematics and Science Teaching, 1986
Describes the use of the Apple Macintosh and MULTIPLAN spreadsheet to record and analyze test data. Provides step-by-step instructions on data entry, item difficulty and discrimination calculations, test reliability, score distribution, and graphing of distributions. (JM)
Descriptors: Computers, Courseware, Data Analysis, Data Processing
Petruk, Milton W. – 1985
To determine the number and current use of microcomputers in Alberta's elementary, junior, and senior high schools, a total of 1,509 schools were surveyed. The results, as reported by 1,271 schools (84.2%), showed the total number of microcomputers to be 13,748. To provide more in-depth information, schools were categorized by six instructional…
Descriptors: Computer Assisted Instruction, Computer Literacy, Courseware, Data Processing
Peer reviewedPogge, Alfred F.; Lunetta, Vincent N. – Science Teacher, 1987
Demonstrates how a spreadsheet program can do calculations, freeing students to question, analyze data and learn science. Notes several popular spreadsheet programs. Gives an example using Lotus 1-2-3 spreadsheets for a sampling experiment in Biology. Shows other examples of spreadsheet use in laboratory activities. (CW)
Descriptors: Computer Assisted Instruction, Computer Uses in Education, Courseware, Data Processing
Peer reviewedJensen, Carl B. – AEDS Journal, 1985
Description of a validated computer assisted instruction (CAI) program (The Addition Tutorial) illustrates how four critical components for instruction--learning principles application to instructional design; sufficient database; adequate motivational system; and delivery system which provides teacher learning environment control--might be…
Descriptors: Academic Achievement, Addition, Computer Assisted Instruction, Courseware
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