Home Entertainment MCC wins big with 11 ariZoni awards

MCC wins big with 11 ariZoni awards

203
0
The MCC Theatre and Film Arts Department's production of "Three Sisters" is one of two shows to receive 26th Annual ariZoni Theatre Awards of Excellence honors. (Courtesy of MCC)

Mesa Community College and its Theatre and Film Arts Department are recipients of the 26th Annual ariZoni Theatre Awards of Excellence in non-contracted theater and production categories.

The ariZoni awards were created to promote the visibility, cooperation and growth of theater in the Valley and are dedicated to recognizing excellence in theatrical performances, as well as individuals who produce exceptional work in all aspects of theater.

“Recognition for excellence by peers is a very high honor,” said Kevin Dressler, MCC director of Theatre Arts. “A well-rounded theatrical experience, including participation in award competitions such as the ariZoni Theatre Awards, helps students develop confidence and propels them from competence to excellence in whatever profession they choose to pursue.”  

The categories and MCC ariZoni awardees are:

Students
Actress in a Major Role in a Play – Ausette Anderies, “Three Sisters.”
Actress in a Major Role in a Play – Samantha Hanna, “Three Sisters.

Department
Overall Production in a Play – “Three Sisters.”

Faculty
Scenic Design – Kara E. Thomson, “Alice in Wonderland.”
Hair & Make Design – Mallory Maria Prucha, “Alice in Wonderland.”
Artistic Specialization / Puppet Design – Mallory Maria Prucha, “Alice in Wonderland.”
Costume Design – Mallory Maria Prucha, “Three Sisters.”

Guest Artists
Director of a Play – Matthew Wiener, “Three Sisters.”
Artistic Specialization / Media Design – Daniel Fine, “Alice in Wonderland.”
Property Design – Mary Rooney, “Three Sisters.”
Lighting Design – Dallas Nichols, “Three Sisters.”

The awards were presented during a celebration on Sept. 19.

LEAVE A REPLY

Please enter your comment!
Please enter your name here

This site uses Akismet to reduce spam. Learn how your comment data is processed.