Abstract
Podcasting is a growing trend in higher education, and this chapter reviews the most common applications for podcasting in higher education and the current literature on its impact on student learning. Although many educators question whether podcasting creates an effective active learning environment, institutional research data from Georgia College & State University indicate that podcasting may have a positive impact grade on distributions and retention, but not on student opinion surveys rating teacher performance. While surveys indicate that students want podcasts of course materials, research suggests that they make limited use of them. Data indicate that student-produced podcasts may be the most efficacious academic model for podcasting, but much work remains to be done to assess the educational impact of podcasting.
Key Terms in this Chapter
Coursecasting: The practice of recording classroom lectures and presentations for distribution via podcasting channels.
Coursecasting: The practice of recording classroom lectures and presentations for distribution via podcasting channels.
Aggregator: Software that enables users to subscribe to syndicated web content. Aggregators represent “pull” technology. The most commonly used aggregator is Apple’s iTunes.
M-Learning: Abbreviation for “mobile learning” using devices that play mp3 and other files.
Learning Object: Defined by David Wiley as “any digital resource that can be reused to support learning,” and which can be combined in multiple ways with other learning objects.
Podzinger: Search engine that finds examples of spoken words in audio and video files.
Podcast: A digital file that may include audio, visual, or video resources as well as hyperlinks that is downloaded through an aggregator or website such as http://odeo.com.
Podcast: A digital file that may include audio, visual, or video resources as well as hyperlinks that is downloaded through an aggregator or website such as http://odeo.com.
Podscope: Search engine that finds examples of spoken words in audio and video files.
Learning Object: Defined by David Wiley as “any digital resource that can be reused to support learning,” and which can be combined in multiple ways with other learning objects.
Wafers-Like Audio Learning Object: (WALO): Audio file composed of short fragments of music, speech, or other audio segments assembled to create a learning object.
Podzinger: Search engine that finds examples of spoken words in audio and video files.
Podscope: Search engine that finds examples of spoken words in audio and video files.
Aggregator: Software that enables users to subscribe to syndicated web content. Aggregators represent “pull” technology. The most commonly used aggregator is Apple’s iTunes.
iTunes U: A free hosted service by Apple where universities can distribute audio and visual resources.
Wafers-Like Audio Learning Object: (WALO): Audio file composed of short fragments of music, speech, or other audio segments assembled to create a learning object.
iTunes U: A free hosted service by Apple where universities can distribute audio and visual resources.
M-Learning: Abbreviation for “mobile learning” using devices that play mp3 and other files.