Academic Journal
Enhancing Online Teaching of Business Statistics: A Pedagogy before Technology Approach
Title: | Enhancing Online Teaching of Business Statistics: A Pedagogy before Technology Approach |
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Authors: | Bopelo Boitshwarelo, Maneka Jayasinghe |
Source: | International Review of Research in Open and Distributed Learning. 2024 25(1):240-254. |
Abstract: | Learning statistics can be challenging for many students, due to their inability to engage in statistical reasoning and application of techniques. This challenge becomes compounded in online learning contexts where students are spatially and temporally separated from the teacher. This paper describes and explains a case of theory-driven interventions designed to enhance the learning experiences of students enrolled in two similar business statistics units, one for undergraduate and the other for postgraduate programs. The paper based its claims primarily on the analysis of data from a student evaluation of teaching survey. This study affirmed the importance of a pedagogy-first approach. It argued that the interventions, which were effective in enhancing the student learning experience, were underpinned by a robust pedagogical analysis of the teaching and learning issues using both constructive alignment and transactional distance theory lenses. |
Language: | English |
Availability: | Athabasca University Press. 1200, 10011-109 Street, Edmonton, AB T5J 3S8, Canada. Tel: 780-497-3412; Fax: 780-421-3298; e-mail: irrodl@athabascau.ca; Web site: http://www.irrodl.org |
Peer Reviewed: | Y |
Page Count: | 15 |
Publication Date: | 2024 |
Document Type: | Journal Articles Reports - Research |
Education Level: | Higher Education Postsecondary Education |
Descriptors: | Foreign Countries, Alignment (Education), Business Education, Electronic Learning, Teaching Methods, Statistics Education, Difficulty Level, Instructional Improvement, Undergraduate Students, Learning Experience, Instructional Effectiveness, Teacher Student Relationship, Intervention, Problem Solving |
Geographic Terms: | Australia |
ISSN: | 1492-3831 |
Abstractor: | As Provided |
Entry Date: | 2024 |
Accession Number: | EJ1419365 |
ISSN: | 1492-3831 |
Database: | ERIC |
Availability