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PowerPoint®: The Musical!

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Title: PowerPoint®: The Musical!
Authors: Berk, Ronald A.1 rberk1@Jhu.edu
Source: International Journal of Technology in Teaching & Learning. 2025, Vol. 21 Issue 2, p140-159. 20p.
Subject Terms: *Music education, *Educational psychology, *Audiovisual education, *Lectures & lecturing, *Educational technology
Reviews & Products: Microsoft PowerPoint (Computer software)
Abstract: Microsoft's PowerPoint (PPT) has become the standard presentation platform for teaching and professional conferences in higher education. It has withstood a growing cadre of critics and naysayers, more than a dozen alternative platforms, including TikTok and Instagram, and blunt force trauma for 36 years. Notwithstanding those challenges, PPT is not perfect. Unfortunately, current faculty practices lag far behind the technological advances in PPT software, AI, and the research on multimedia. The use of images, music, and videos throughout a PPT deck is rare despite the capabilities of PPT and AI to deliver those elements with ease. This article aims to explore the use of "instructional music" in PPT as an integral part of teaching to attain specific learning outcomes. A professor can select the title and/or lyrics of popular music to advance the storyline and bring dead words on the screen to life. The challenge is to weave the music into the slides to foster meaning, emotion, and memory. This approach has been used increasingly in "jukebox" Broadway musicals, television programs, and movies. Why not create a "jukebox PPT"? Salient research is reviewed on music's psychosocial, physiological, and educational effects. Then, step-by-step procedures and examples are given to select and convert a music extract into MP3 format and insert it into PPT slides for editing. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Technology in Teaching & Learning is the property of Society of International Chinese in Educational Technology (SICET) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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  Data: Microsoft's PowerPoint (PPT) has become the standard presentation platform for teaching and professional conferences in higher education. It has withstood a growing cadre of critics and naysayers, more than a dozen alternative platforms, including TikTok and Instagram, and blunt force trauma for 36 years. Notwithstanding those challenges, PPT is not perfect. Unfortunately, current faculty practices lag far behind the technological advances in PPT software, AI, and the research on multimedia. The use of images, music, and videos throughout a PPT deck is rare despite the capabilities of PPT and AI to deliver those elements with ease. This article aims to explore the use of "instructional music" in PPT as an integral part of teaching to attain specific learning outcomes. A professor can select the title and/or lyrics of popular music to advance the storyline and bring dead words on the screen to life. The challenge is to weave the music into the slides to foster meaning, emotion, and memory. This approach has been used increasingly in "jukebox" Broadway musicals, television programs, and movies. Why not create a "jukebox PPT"? Salient research is reviewed on music's psychosocial, physiological, and educational effects. Then, step-by-step procedures and examples are given to select and convert a music extract into MP3 format and insert it into PPT slides for editing. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of International Journal of Technology in Teaching & Learning is the property of Society of International Chinese in Educational Technology (SICET) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ehh&AN=194797885
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