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Smith, Justin G.; Tissing, Reid – Journal of Extension, 2018
This article introduces a process for computational text classification that can be used in a variety of qualitative research and evaluation settings. The process leverages supervised machine learning based on an implementation of a multinomial Bayesian classifier. Applied to a community of inquiry framework, the algorithm was used to identify…
Descriptors: Qualitative Research, Extension Education, Classification, Computer Uses in Education
Wighting, Mervyn J.; Liu, Jing; Rovai, Alfred P. – Quarterly Review of Distance Education, 2008
Discriminant analysis was used to determine whether classifications could be made between students enrolled in e-learning and in face-to-face university courses (N = 353) based on their scores from separate instruments measuring sense of community and motivation. Study results provide evidence that the predictors were able to distinguish between…
Descriptors: Electronic Learning, Online Courses, Discriminant Analysis, Academic Achievement
Riley, James D. – Online Submission, 2004
The purpose of this paper is to depict a model of the ethical drivers of the implementation of instructional technology. The model is meant to be a starting point for institutions as they initiate, update or implement instructional technology. A major assumption underlying the paper is that a consideration of ethics is lacking in the planning…
Descriptors: Teaching Methods, Student Teaching, Ethics, Classification
Paulsson, Fredrik; Naeve, Ambjorn – International Journal on E-Learning, 2006
Based on existing Learning Object taxonomies, this article suggests an alternative Learning Object taxonomy, combined with a general Service Oriented Architecture (SOA) framework, aiming to transfer the modularized concept of Learning Objects to modularized Virtual Learning Environments. The taxonomy and SOA-framework exposes a need for a clearer…
Descriptors: Computer Uses in Education, Classification, Educational Resources, Course Content
Bender, Tisha – Innovate: Journal of Online Education, 2005
As online education escalates, it is important for instructors to explore teaching techniques that engage students and enhance learning at a profound level. To achieve this goal, instructors must look at the primarily text-based environment of the online class not as a limitation, but as an opportunity. Attentive and highly personal teaching that…
Descriptors: Role Playing, Online Courses, Interaction, Learning Experience
Fletcher, Mick – 2001
The distinctions between types of open and distance learning broadly equate to the concept of learning at a time, place, and pace that best suits the learner. Distance learning refers to geography, whereas open learning refers to time. Flexible learning is a generic term referring either to geography or time. Combining these distinctions allows…
Descriptors: Classification, Computer Uses in Education, Definitions, Delivery Systems

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