The cone of learning: a tertiary level empirical study across traditional, blended, and flexible learning modes
Hamilton, John, and Tee, Singwhat (2009) The cone of learning: a tertiary level empirical study across traditional, blended, and flexible learning modes. In: Proceedings of the Ninth International Conference on Electronic Business 2009 (9), pp. 1030-1036. From: Ninth International Conference on Electronic Business, 30 November 2009 - 4 December 2009, Macau, China.
PDF (Published Version)
Restricted to Repository staff only
Tertiary institutions are moving towards more flexible teaching and learning environments. Relationships between tertiary teaching and learning modes, student outcomes, and learning perceptions have engaged partial studies. This article employs a holistic view. It develops and tests a tertiary teaching and learning environment from a value enhancement approach. Here student-preferred teaching and learning modes are assessed. The tertiary institution teaching and learning offerings or modes are mapped against student learning outcomes, as defined by the tertiary institution ‘business enhancement measurement model’. This research shows tertiary institutions can more closely align their educational teaching and learning solutions towards their student’s perceived learning requirements, whilst also enhancing its student’s skills.
|Item Type:||Conference Item (Refereed Research Paper - E1)|
|Keywords:||learning modes, tertiary, education, flexible, blended, traditional. student outcomes, student perception|
|Date Deposited:||06 Jan 2010 23:43|
|FoR Codes:||13 EDUCATION > 1301 Education Systems > 130103 Higher Education @ 70%
15 COMMERCE, MANAGEMENT, TOURISM AND SERVICES > 1503 Business and Management > 150399 Business and Management not elsewhere classified @ 30%
|SEO Codes:||93 EDUCATION AND TRAINING > 9302 Teaching and Instruction > 930203 Teaching and Instruction Technologies @ 70%
93 EDUCATION AND TRAINING > 9302 Teaching and Instruction > 930299 Teaching and Instruction not elsewhere classified @ 30%
Last 12 Months: 1