Book Review: Ring Shout, Wheel About: The Racial Politics of Music and Dance in North American Slavery, by Katrina Dyonne Thompson

Katrina Dyonne Thompson draws on her work over the years as a student and then a faculty member doing research on not only the role of African music and dance in the lives of Black slaves in the US but also on the impressions made upon White observers.  The lack of the background music of slaves singing while picking cotton in the fields is an important factor in the scenery.  There were 200 years of song and dance among the slaves.  Some Whites clung to the stereotype of the “irrepressibly cheerful” Black man singing in the streets despite how “ragged or forlorn” he might actually be (p. 1).  However, the days of the happy singing slave who had a natural talent for performing and appearing light-hearted (p. 2) were disappearing.

At the same time Blacks were becoming more successful financially as bondsmen, and as they connected with the entertainment world and more able to access highly successful careers in music and dance, the image of the docile Black who loved to sing and accept their abuse was fading quickly.   

Already by the early 20th Century in America, White observers noticed a change in the thrill level of Blacks vis-à-vis their celebrations.  Laments one White Georgian on this noticeable change in that they “…don’t sing as they used to… (p. 1) and telling the readers they should have seen the dancing “…of the old darkeys on the plantation.”  This change in demeanor and enthusiasm was happening at the same time Blacks were beginning to speak up for themselves as a group.

The “New Negro” was threatening to the established order and some Whites were nervous, indeed.  There were a lot of Black persons in the US by the end of the 19th Century, and the notion they were more and more of them unhappy was unsettling to many Whites.  Lack of enthusiasm in their dance and movement was a strong and obvious reminder there were many Blacks who were losing their sense of humor.

Actually more a part of an “imagined South” with happy slaves singing in the fields, the music and dance with an African beat often celebrated not only the culture from another continent but also hidden meanings and realities among the slaves here in the US.  Many readers have probably heard that the lyrics and melodies had a varity of “hidden meanings” (pp. 108-109).  They could be used simply for relating information from farm to farm or in other cases making fun of the White owner being so down on his luck he could not contribute to the holiday celebrations of the slaves.

Still more well-known are the songs of chariots coming to whisk the slaves away to freedom.  Ironically, it is some of these songs with the most dramatic lyrics that came to be the most well-loved.  With great passion, the slaves sang and danced as they prayed for better lives—usually far from the often rapacious and abusive owners.  Slave owners could break up families, selling different members to the highest bidder.  Thus, slave auction days came to symbolize frightening events indeed to families with “marketable” workers and healthy children.                

Regarding the more technical aspects of the book, Katrina Dyonne Thompson frames the story told here as a performance, dividing into steps the art to be revealed.  The author organizes her work into six chapters and an epilogue: 1) The Script: “Africa was but a blank canvas for Europe’s imagination;” 2) Casting: “They sang their home-songs, and danced, each with his free foot slapping the deck;” 3) Onstage: “Dance you damned n’s, dance;” 4. Backstage: “White folks do as they please, and the darkies do as they can: 5) Advertisement: “Dancing through the Streets and act lively;” 6) Same Script, Different Actors: “Eb’ry time I wheel about, I jump Him Crow;” and Epilogue: The Show Must Go On.

Without giving too much of the content away, I will say the book provide a great deal of information in a short space and the author demonstrates the changes of a People as their lives, livelihood, and status change immensely.   

The author does a good job of showing how the Blacks transitioned away from giving off images of the happy and irrepressibly cheerful slaves and embracing their roles as performers, becoming successful business people, and welcoming their new voice as they created a distinct sound.  They had taken the complex patterns of the West African song and dance (pp. 23-24) of their past, tied to new styles of Native American and other rhythms, and developed a rich urban beat with stylized sequences and a completely new sound.

It is this great change in the origins of the music to something very modern sounding that makes this book a good candidate for use in courses and seminars on the history of the Black sound in the US. 

A second use of the book is the connection of music, dance, and historical events. 

A third use is the insight the book gives into cultural and linguistic changes of Blacks as they and their art moved away from plantations and into urban centers. 

A fourth use of this book is a sort of guide for setting out some basics that could be used in interdisciplinary units and lesson plans in K-12 classrooms. 

A fifth use of the book is background reading for educators contemplating making the connections among slavery as a social studies and history topic to other fields (e.g., music, movement, singing).

I recommend the book for these five uses and also for a clear candidate for professional development (PD) sessions.  The book would work well in a basic reading course for discussion over 2 to 3 sessions.  The book would also work well over 5 to 6 longer sessions during which lesson plans, assignments, and assessment instruments could be developed—whether on site or through a hybrid course structure.

Enhancing Student Learning with AI-Powered Image Features

Andy Szeto

Plaza de Toros de la Real Maestranza de Caballería de Sevilla, a Bullring in Seville, Spain. Photo Credit: Andy Szeto

Artificial[HB1]  intelligence (AI) is transforming the way we approach education, providing tools that enhance student engagement and make abstract concepts more accessible. One such innovation is AI-powered image recognition, which has the potential to revolutionize real-world learning experiences, from understanding historical documents to visualizing complex ideas.

My recent experience in Seville, Spain, underscores how AI can make learning more dynamic and personal.  While traveling with my family in Seville, Spain in August 2024, my soon-to-be teenage daughter turned to me as we stood inside a bullfighting ring and asked, “Hey dad, what do the two red circles mean?” I acknowledged my lack of knowledge on the matter but soon recognized that AI could provide valuable assistance. 

Using my paid version of ChatGPT, I uploaded a picture of the bullring, and within moments, the answer appeared. The red circles in the Plaza de Toros de la Real Maestranza are reference points used during bullfighting events, helping the matador and participants position themselves during key stages of the fight. ChatGPT’s photo upload feature, available in its paid version, allowed artificial intelligence to analyze the image quickly and provide a detailed answer to my question, which amazed us both. My daughter was excited to learn this fact, while I marveled at the power of AI in delivering such precise information. This moment highlighted how AI could revolutionize education, by promoting independent learning and engaging students with real-world questions, both inside and outside the classroom.

This small but powerful moment made me reflect on the broader implications of AI in education. Beyond answering real-world questions, AI can also assist students in engaging with historical materials in new ways, such as transcribing handwritten documents or visualizing historical events.  Students can utilize AI image recognition features to enhance their understanding of historical archival materials by uploading images of primary sources, such as draft cards, census records, or letters, into an AI system. These AI tools can process and analyze a wide range of documents, extracting key details such as names, dates, locations, and occupations that are often embedded in handwritten or faded text. This process allows students to work more independently with primary sources, reducing the manual effort needed to transcribe difficult-to-read documents, particularly those written in older or cursive styles.

While the technology is not flawless—certain handwriting styles, ink smudges, or document wear can cause errors—it offers substantial support, especially for novice researchers who might otherwise find these documents inaccessible. For example, students could create a prompt like, ‘Find attached an image, and extract every piece of information from the draft card,’ to encourage the AI to analyze the content in detail. This could include not just the soldier’s name and registration date, but also contextual clues like regional differences in draft registration forms or patterns in the types of exemptions requested.

Furthermore, by leveraging AI’s ability to scan and highlight particular elements, such as identifying a certain region mentioned or flagging unfamiliar terms, students can dive deeper into their analysis. In a classroom setting, teachers can encourage students to compare their own interpretations of a primary source with the AI-generated output, sparking discussions on the reliability and limits of technology in historical research. Through this process, students gain a more hands-on approach to examining archival documents, enhancing their critical thinking skills and historical inquiry capabilities (UTSA Institute of Texan Cultures, 2017)

Similarly, AI can help students transcribe historical handwriting, assisting them in reading handwriting from primary sources. For instance, a student may struggle to read government records, such as those about the Governor’s Mansion in North Carolina, detailing the cost of a house in Raleigh for the governor. In this case, AI can assist with the transcription (North Carolina Digital Collections, 2024). Additionally, AI can help students with cursive handwriting, making it easier for them to understand cursive text, which is often seen in older documents. Again, this technology, like extraction, is not perfect but is useful in supporting students as they delve into historical records. This allows for a deeper exploration of historical documents by aiding in the extraction of text and details that might otherwise be difficult to read manually.

WWI Draft Registration Certificate for Ernst Fritz Schuchard, issued June 5, 1917, in Bexar County, Texas

Governor’s Mansion: Payment to Penitentiary for Construction of Governor’s Mansion and Payment for Yard Work  An AI-generated Image depicting Election Day, November 1884, inspired by Walt Whitman’s poem.  

Beyond text recognition, AI’s image generation capabilities further enrich student learning by bringing historical concepts to life. By transforming abstract texts, like Whitman’s poetry, into visual scenes, students can engage more emotionally and intellectually with the material.  Using AI’s image generation feature to create an illustration inspired by Walt Whitman’s poem Election Day, November 1884 offers a powerful and engaging experience. The poem reflects the importance of civic duty and voting rights during a significant moment in 19th-century America, when the concept of suffrage was expanding, but not yet fully inclusive. Through imagery rooted in historical contexts—voters gathered at polling places, and the somber, reflective mood of Whitman’s work—the visuals deepen students’ understanding of the era’s political and social dynamics.

This process highlights how visual learning can enhance comprehension of abstract or complex ideas, such as the evolution of voting rights and the struggles for representation. By turning Whitman’s words into visual scenes, students can grasp the weight of these moments in American history more profoundly. The combination of poetry and historical imagery helps students emotionally engage with the topic, making the importance of suffrage and the responsibilities of citizenship more tangible.

Beyond aiding comprehension, AI-generated image tools offer creative opportunities for students to engage with historical texts and events. For example, students can generate visuals that reflect their interpretations of political movements or historical milestones, giving a personal touch to their learning. By visualizing historical settings, they can immerse themselves in the world of 19th-century America, imagining what it might have felt like to be at the center of political change. This not only brings history to life but also encourages students to think critically about the significance of voting rights in a democratic society.

Using the image analysis feature to teach data interpretation and visualization is an effective way to engage students in real-world data analysis across multiple disciplines, including economics. For instance, beginning with a handwritten data table, such as voter turnouts for a local election by demographic groups from 2011 to 2015, teachers can guide students in reading, interpreting, and analyzing the data from the image. This activity can extend into mathematics by encouraging students to calculate growth rates, percentages, and year-over-year comparisons. For example, students might calculate the percentage increase in voter turnout for Asian Americans in the five-year period or determine the rate of decline for another demographic group, applying key concepts from algebra and statistics.

Once the data is understood, it can be converted into a graph using tools like Python, Excel, or other data analysis software. In this case, a line graph might be created to visualize trends in voter turnouts. 

As another example, students can use data analysis tools to explore economic principles, such as by examining a company’s online sales data. They can utilize the image feature to create graphs that illustrate trends, such as a clear rise in online sales alongside a decline in phone sales over the years. This step could serve as a foundation for discussions around key economic concepts like supply and demand, market shifts, and consumer behavior. Students can also analyze the economic factors that may have driven the increase in online sales, such as the availability of faster internet services or changing consumer preferences for convenience.

From answering spontaneous questions in a bullring to transcribing historical documents, AI tools help make learning more relevant and personalized. These innovations empower students to interact with their studies in a hands-on way, fostering critical thinking and independent exploration.

AI-powered tools, such as image generators and recognition features, are transforming education by making abstract concepts more tangible and promoting real-world problem-solving. From my personal experience using AI to answer a question in a bullfighting ring in Seville, to students transcribing historical documents or interpreting data, AI fosters engagement and critical thinking across disciplines. It enhances inclusivity by providing personalized support, particularly for multilingual learners. As educators integrate AI into their practices, they can create more dynamic, interactive, and meaningful learning experiences that equip students with the skills needed to thrive in a complex world.

North Carolina Digital Collections. Governor’s Mansion: Payment to Penitentiary for Construction of Governor’s Mansion and Payment for Yard Work, Raleigh, North Carolina. Accessed October 6, 2024. https://digital.ncdcr.gov/Documents/Detail/governors-mansion-payment-to-penitentiary-for-construction-of-governors-mansion-and-payment-for-yard-work/5836538.

UTSA Institute of Texan Cultures. (2017). Object: Draft card. Retrieved from https://texancultures.utsa.edu/collections-blog/object-draft-card/