121950719
Teaching Statistics Online: A Decade's Review of the Literature About What Works
A statistics course can be a very challenging subject to teach. To enhance learning, today's modern course in statistics might incorporate many different aspects of technology. Due to advances in technology, teaching statistics online has also become a popular course option. Although researchers are studying how to deliver statistics courses in this new technological environment, there is still much to learn about how to effectively implement these online courses. The purpose of this paper is to report the results of an extensive review of the literature conducted across several disciplines from the last decade in an effort to summarize, identify, and understand overall trends and themes in online instruction. A summary of effective practices that might be useful to teachers teaching statistics online concludes this paper.
205390641
Factors affecting engineers' acceptance of asynchronous e-learning systems in high-tech companies
With the rapid change in all types of working environment, there is a need to implement electronic learning (e-learning) systems to train people in new technologies, products, and services. However, the large investment in e-learning has made user acceptance an increasingly critical issue for technology implementation and management. Although user acceptance received fairly extensive attention in prior research, efforts were needed to examine or validate previous results, especially in different technologies, user populations, and/or organizational contexts. We therefore proposed a new construct, perceived credibility, to examine the applicability of the technology acceptance model (TAM) in explaining engineers' decisions to accept e-learning, and address a pragmatic technology management issue. Based on a sample of 140 engineers taken from six international companies, the results strongly support the extended TAM in predicting engineers' intention to use e-learning.
125288648
Workshop statistics : discovery with data
Exploring Data.- Exploring Data: Comparisons and Relationships.- Collecting Data.- Randomness in Data.- Inference from Data: Principles.- Inference for Comparisons and Relationships.
142660325
Teaching Statistics: A Comparison of Traditional Classroom and Programmed Instruction/Distance Learning Approaches
This article compares grades earned by incoming MSW students in traditional classroom-based statistics courses and those taught using software-based content and no regular classes. Traditional-lear...
117691603
Statistics at a Distance
In 1993 the Statistics Department at Iowa State University entered into a collaborative agreement with General Motors to develop and deliver a new sequence of courses titled “Applied Statistics for Industry.” This paper describes the development and content of these courses as well as their method of delivery. In order to accommodate on campus students as well as students at a distance, the course is presented live at Iowa State University and by videotape delay at General Motors Technical Education sites in Michigan, Ohio, Arizona and Mexico, and across the country at sites of other partner industries. Some of the differences between a statistics course taught in the traditional campus setting and a statistics course taught at a distance will be highlighted. Since there are two audiences (on campus and off campus), several compromises are made in how the course is conducted. These compromises, and their possible effects on students in both environments, are discussed. A summary of how on and off campus students did in these courses over the past five years is included.
62059251
TEACHING OVER THE WEB VERSUS IN THE CLASSROOM: DIFFERENCES IN THE INSTRUCTOR EXPERIENCE
To study the differences, from the point of the instructor, between teaching college classes over the WEB versus in a more traditional classroom situation, we interviewed twenty-one college instructors who had taught in both formats. We categorized and counted interview fragments based on emerging trends. The instructors indicated that bandwidth limitations, asynchronous nature of the medium and an emphasis on the written word give web-based classes a very different communication style than face-to-face classes. This has far-reaching implications for online classes, in terms of greater student/instructor equality, a need for greater explicitness of instructions and other instructional materials, more work for instructors, deeper class discussions, and initial feelings of anonymnity giving way later to emerging online identities.
117724750
Characteristics and Performance of Students in an Online Section of Business Statistics
We compare students in online and lecture sections of a business statistics class taught simultaneously by the same instructor using the same content, assignments, and exams in the fall of 2001. Student data are based on class grades, registration records, and two surveys. The surveys asked for information on preparedness, reasons for section choice, and evaluations of course experience and satisfaction. Using descriptive statistics, regression analysis and standard hypothesis tests, we test for significant differences between the online and lecture sections with regard to performance and satisfaction with the course as well as motivation and preparedness for taking an online course. We report several differences, including better performance by online students.
61029572
Statistics at a Distance: Technological Tools, Learning, and Design Features for Today's Modern Course
The purpose of this article is to present a theoretical framework of learning and to develop a pedagogical (TTRACE) model that might be useful to teachers teaching statistics online or at a distance. We describe our graduate-level hybrid statistics course and the technological tools we utilized to illustrate how our model and design features can be applied in a real teaching context. We share our teaching and learning experiences, discuss what others in the field have learned, and offer suggestions to assist others in designing and improving similar courses.
61869749
An innovative approach to teaching online statistics courses
This paper describes two innovative online introductory statistics courses that utilize technology to create unique interactive learning environments. In these courses, technology is used to enable students to collaborate and learn from each other, in addition to learning from required course materials and the instructor. Technology is also introduced into the courses as a way to better illustrate important statistical concepts and provide students with tools to describe and analyze data. In this paper, special attention is paid to the way in which the GAISE recommendations have been implemented in one key component of the online courses: small-group discussion. Evaluative data gathered from students is used to describe how students perceive the discussion component of the courses, as well as how desired learning outcomes are being achieved. The paper concludes with a discussion of lessons learned from teaching an online statistics course, and implications for future development of online staiststics courses.
59849423
A Study Comparing Traditional and Hybrid Internet-Based Instruction in Introductory Statistics Classes
Advances in technology coupled with increasing student enrollment numbers have led some universities to begin offering on-line classes. This paper discusses a study comparing a traditional offering of elementary statistics with a “hybrid” offering. In the hybrid offering the class met once a week, but students were required to learn the material on their own using web-based materials and a textbook. We examined differences in student performance, student satisfaction and investment of both student and instructor time. Performance of students in the hybrid offering equaled that of the traditional students, but students in the hybrid were slightly less positive in their subjective evaluation of the course.
62134976
Teaching MBA Statistics Online: A Pedagogically Sound Process Approach
Delivering MBA statistics in the online environment presents significant challenges to education and students alike because of varying student preparedness levels, complexity of content, difficulty in assessing learnng outcomes, and faculty availability and technological expertise. In this article, the author suggests a process model that develops key learning strategies for the online environment and offers accreditation- and literature-based guidelines for overcoming obstacles to sucessful mastery of MBA-level statistics. Intended for faculty members, administrators, and students with limited experience in online education, the model may stimulate discussion and investigation of successful practices appropriate for teaching business statistics.
27756645
Student Attitudes to Learning Business Statistics: Comparison of Online and Traditional Methods
Worldwide, electronic learning (E-learning) has become an important part of the education agenda in the last decade. The Suan Dusit Rajabhat University (SDRU), Thailand has made significant efforts recently to use Internet technologies to enhance learning opportunities. The results reported here are part of a pioneering study to determine the effectiveness of a new online learning course in the subject “Business Statistics”. This paper compares two groups of students, one studying using a traditional lecture-based approach, and the other studying using e-learning. The comparison is based on students’ attitudes towards statistics measured using a validated questionnaire, both before and after the 16-week course, and for each of the modes of study. Comparisons are also made with students studying by distance, although the numbers in these groups are too small for sensible statistical analysis. The questionnaire data are augmented by material from interviews and other student reports of their experience. The results showed highly significant differences in attitudes towards statistics between the students studying online and the students using a traditional approach.
59767826
Assuring quality in distance learning a preliminary review
No part of this book may be reproduced or transmitted in any form or by any means, electronic or mechanical , including photocopying, recording, or by any information storage and retrieval system, without permission in writing from the publisher. The Council for Higher Education Accreditation (CHEA) is a private, nonprofit national organization that coordinates accreditation activity in the United States. CHEA represents more than 3,000 colleges and universities and 60 national, regional, and specialized accreditors.
122907451
The Best of Both Worlds: A Hybrid Statistics Course
This study compares students' performance and attitudes in a hybrid (blend of online and face-to-face) model of Elementary Statistics and a traditional (face-to-face) model of the same course. Performance was measured by test, quiz, project, and final exam grades. Attitude was measured by the results of a course survey administered at the end of the semester. Both models of the course required the same textbook and statistical computer package, were taught by the same instructor, and had similar demographic characteristics such as gender, major, and classification. Significant differences were found in an extra credit grade comprised of points earned on interactive worksheets, and attitudes toward the course. There was no significant difference in students' performance as measured by grades. The value of hybrid courses as a viable option in distance education and their potential benefits to students and the educational institution are discussed.
143024959
A Comparison of Student Achievement and Satisfaction in an Online Versus a Traditional Face-to-Face Statistics Class
In this study we examined differences between online distance education and traditional classroom learning for an introductory undergraduate statistics course. Two outcome dimensions were measured: students’ final grades and student satisfaction with the course. Using independent samples t-tests, results indicated that there was no significant difference in grades between the online and traditional classroom contexts. However, students enrolled in the online course were significantly less satisfied with the course than the traditional classroom students on several dimensions. This finding is inconsistent with the “no significant difference phenomenon,” described in Russell’s (1999) annotated bibliography, which supports minimal outcome differences between online courses and face-to-face courses.
59964900
Improving the Teaching of Statistics Online: A Multi-faceted Approach
Teaching an online statistics course poses significant challenges to the facilitator and the learners alike because of varying student preparedness levels, complexity of the course content, the difficulty in assessing learner outcomes, and determining the frequency of visibility of the facilitators in the online classroom. In this paper, the author suggests a teaching model that presents difficulties in the facilitation of an online statistics course and provides some remedies for overcoming these difficulties.
206827225
Teaching statistics online in a blended learning environment
Several Versions of a Web-based graduate-level course in statistics are described. In the final version, the experiential aspects of a face-to-face course in statistics are maintained through frequent interaction between the instructor and students using digital video lectures that depict real-time statistical computations. The use of text-based explanations, two-way interactive television technology, interactive whiteboard technology, and videos created from VHS recordings also are discussed within a recently described framework for evaluating the instructional effectiveness of new media.
60619229
Principles of Instructional Design
PART I: INTRODUCTION TO INSTRUCTIONAL SYSTEMS. 1. Introduction to Instructional Design. 2. Designing Instructional Systems. 3. The Outcomes of Instruction. 4. Varieties of Learning: Intellectual Skills and Strategies. 5. Varieties of Learning: Information, Motor Skills, and Attitudes. 6. The Learner. PART II: BASIC PROCESSES IN LEARNING AND INSTRUCTION. 7. Defining Performance Objectives. 8. Analysis of a Learning Task. 9. Designing Instructional Sequences. 10. The Events of Instruction. 11. Technology Affordances. 12. Designing the Individual Lesson. 13. Assessing Student Performance. 14. Group Learning Environments. 15. Online Learning. 16. Evaluating Instruction.
122492019
Teaching Introductory Statistics Online — Satisfying the Students
This paper describes the components of a successful, online, introductory statistics course and shares students' comments and evaluations of each component. Past studies have shown that quality interaction with the professor is lacking in many online courses. While students want a course that is well organized and easy to follow, they also want to interact with the professor and other students. Interactions in this course took place through small group discussions, emails, weekly announcements and graded exams. The course also contained lecture slides with audio prepared by the professor. As the variety and quantity of interaction increased, student satisfaction with the amount of interaction with the professor increased from 75% the first year of the course to 99% the fifth year. Overall satisfaction with the online course increased from 93% the first year to 100% the fifth year.
1737065
Internet Approach versus Lecture and Lab‐Based Approach for Teaching an Introductory Statistical Methods Course: Students’ Opinions
Summary The use of the Internet as a teaching tool continues to grow in popularity at colleges and universities. We consider, from the students’ perspective, the use of an Internet approach compared to a lecture and lab-based approach for teaching an introductory course in statistical methods. We conducted a survey of introductory statistics students. Contradictory to what was hypothesized by the authors, they favoured keeping the lecture and lab-based approach for teaching the class.