Classroom sound can be used to classify teaching practices in college science courses

被引:53
|
作者
Owens, Melinda T. [1 ]
Seidel, Shannon B. [2 ]
Wong, Mike [3 ]
Bejines, Travis E. [2 ]
Lietz, Susanne [1 ]
Perez, Joseph R. [2 ]
Sit, Shangheng [1 ]
Subedar, Zahur-Saleh [1 ]
Acker, Gigi N. [4 ,5 ]
Akana, Susan F. [6 ]
Balukjian, Brad [7 ]
Benton, Hilary P. [1 ,8 ]
Blair, J. R. [1 ]
Boaz, Segal M. [9 ]
Boyer, Katharyn E. [1 ,10 ]
Bram, Jason B. [4 ]
Burrus, Laura W. [1 ]
Byrd, Dana T. [1 ]
Caporale, Natalia [11 ]
Carpenter, Edward J. [1 ,10 ]
Chan, Yee-Hung Mark [1 ]
Chen, Lily [1 ]
Chovnick, Amy [9 ]
Chu, Diana S. [1 ]
Clarkson, Bryan K. [12 ]
Cooper, Sara E. [8 ]
Creech, Catherine [13 ]
Crow, Karen D. [1 ]
de la Torre, Jose R. [1 ]
Denetclaw, Wilfred F. [1 ]
Duncan, Kathleen E. [8 ]
Edwards, Amy S. [8 ]
Erickson, Karen L. [8 ]
Fuse, Megumi [1 ]
Gorga, Joseph J. [14 ]
Govindan, Brinda [1 ]
Green, Jeanette [15 ]
Hankamp, Paul Z. [16 ]
Harris, Holly E. [1 ]
He, Zheng-Hui [1 ]
Ingalls, Stephen [1 ]
Ingmire, Peter D. [1 ,17 ]
Jacobs, J. Rebecca [8 ]
Kamakea, Mark [18 ]
Kimpo, Rhea R. [1 ,19 ]
Knight, Jonathan D. [1 ]
Krause, Sara K. [20 ]
Krueger, Lori E. [21 ,22 ]
Light, Terrye L. [1 ]
Lund, Lance [1 ]
机构
[1] San Francisco State Univ, Dept Biol, San Francisco, CA 94132 USA
[2] Pacific Lutheran Univ, Dept Biol, Tacoma, WA 98447 USA
[3] San Francisco State Univ, Ctr Comp Life Sci, San Francisco, CA 94132 USA
[4] De Anza Coll, Dept Biol, Cupertino, CA 95014 USA
[5] San Jose State Univ, Nutr Food Sci & Packaging Dept, San Jose, CA 95192 USA
[6] City Coll San Francisco, Dept Biol, San Francisco, CA 94112 USA
[7] Laney Coll, Dept Biol, Oakland, CA 94607 USA
[8] Foothill Coll, Dept Biol, Los Altos Hills, CA 94022 USA
[9] Las Positas Coll, Dept Biol, Livermore, CA 94551 USA
[10] San Francisco State Univ, Romberg Tiburon Ctr Environm Studies, Tiburon, CA 94920 USA
[11] Univ Calif Davis, Dept Neurobiol Physiol & Behav, Davis, CA 95616 USA
[12] Diablo Valley Coll, Dept Biol Sci, Pleasant Hill, CA 94523 USA
[13] Portland Community Coll, Dept Biol, Portland, OR 97219 USA
[14] Diablo Valley Coll, Math & Sci Dept, San Ramon, CA 94582 USA
[15] Canada Coll, Div Sci & Technol, Redwood City, CA 94061 USA
[16] Coll San Mateo, Dept Biol, San Mateo, CA 94402 USA
[17] San Francisco State Univ, Div Undergrad Educ & Acad Planning, San Francisco, CA 94132 USA
[18] Chabot Coll, Dept Life Sci, Hayward, CA 94545 USA
[19] Skyline Coll, Sci Math Technol Div, San Bruno, CA 94066 USA
[20] Palomar Coll, Dept Life Sci, San Marcos, CA 92069 USA
[21] Solano Community Coll, Dept Biol, Fairfield, CA 94534 USA
[22] Calif State Univ, Dept Biol Sci, Sacramento, CA 95819 USA
[23] Los Medanos Coll, Dept Biol, Pittsburg, CA 94565 USA
[24] Berkeley City Coll, Dept Sci, Berkeley, CA 94704 USA
[25] Contra Costa Coll, Dept Biol Sci, San Pablo, CA 94806 USA
[26] Holy Names Univ, Dept Biol Sci, Oakland, CA 94619 USA
[27] San Francisco State Univ, Dept Earth & Climate Sci, San Francisco, CA 94132 USA
[28] Univ Texas Austin, STEM Educ, Dept Curriculum & Instruct, Austin, TX 78712 USA
[29] San Francisco State Univ, Dept Chem & Biochem, San Francisco, CA 94132 USA
[30] Univ San Francisco, Dept Biol, San Francisco, CA 94117 USA
[31] DeAnza Coll, Biol Hlth & Environm Sci Div, Cupertino, CA 95014 USA
[32] Georgia Inst Technol, Sch Biol Sci, Atlanta, GA 30332 USA
[33] Kelley Petterson & Assoc Inc, San Francisco, CA 94127 USA
[34] Stanford Univ, Off Vice Provost Teaching & Learning, Stanford, CA 94305 USA
基金
美国国家科学基金会;
关键词
active learning; evidence-based teaching; science education; lecture; assessment; CLASSIFICATION; MATHEMATICS; STUDENTS; STEM;
D O I
10.1073/pnas.1618693114
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Active-learning pedagogies have been repeatedly demonstrated to produce superior learning gains with large effect sizes compared with lecture-based pedagogies. Shifting large numbers of college science, technology, engineering, and mathematics (STEM) faculty to include any active learning in their teaching may retain and more effectively educate far more students than having a few faculty completely transform their teaching, but the extent to which STEM faculty are changing their teaching methods is unclear. Here, we describe the development and application of the machine-learning-derived algorithm Decibel Analysis for Research in Teaching (DART), which can analyze thousands of hours of STEM course audio recordings quickly, with minimal costs, and without need for human observers. DART analyzes the volume and variance of classroom recordings to predict the quantity of time spent on single voice (e.g., lecture), multiple voice (e.g., pair discussion), and no voice (e.g., clicker question thinking) activities. Applying DART to 1,486 recordings of class sessions from 67 courses, a total of 1,720 h of audio, revealed varied patterns of lecture (single voice) and nonlecture activity (multiple and no voice) use. We also found that there was significantly more use of multiple and no voice strategies in courses for STEM majors compared with courses for non-STEM majors, indicating that DART can be used to compare teaching strategies in different types of courses. Therefore, DART has the potential to systematically inventory the presence of active learning with similar to 90% accuracy across thousands of courses in diverse settings with minimal effort.
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页码:3085 / 3090
页数:6
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