A Method to Predict Students’ Success in Distance Online Courses

Abstract

Information technologies change the entire structure of the educational process. Its aspects – academic, administrative, technical, communicative, and personal – acquire specific traits in the framework of online education. Scholars and practitioners nowadays face the task of developing new methodologies of assessing and predicting students' success in online classes. One of such methods is described in this work. It consists of 3 stages:

1. Creating a brochure which contains important information about the educational process in the framework of distant online programs and requirements for successful studying in online courses;

2. Preparing a questionnaire based on brochure, whose questions allow to determine if students master many-sided knowledge needed for their online studying successfully;

3. Conducting a computer-based survey which allows to discover if the questionnaire is:

a) complete, that is all the five aspects of the educational process are represented there,

b) adequate, that is it includes two basic types of questions: single (having its answer in one situation described in the brochure) and multiple (having its answer in more than one situation),

c) comprehensible, that is all questions are correctly understood by the questionnaire's respondents.

105 graduate students, which took the online courses taught by the study's author in 2017-2018, participated in this survey. The data received were analyzes with the use of Spearman correlation method. The results showed that the instruments created to predict online students’ success meet the requirements and will be useful in further work on the declared topic.



Author Information
Anna Toom, Touro College, United States

Paper Information
Conference: ERI2019
Stream: Assessment and Learning Analytics

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Posted by James Alexander Gordon