# Math Biology Video Project

Author

Derek Sollberger, Emily Weigel

Published

April 3, 2023

# Math Biology Video Project

Derek Sollberger

• Data Analyst
• UC Merced

Dr Emily Weigel

• Course Instructor
• Georgia Tech

## Math Biology Video Project

• Ecology course (prereq: Intro Bio)

• Fall 2018 semester

• 91 students (85 students in study)

• 24 videos

• about 10 minutes per video

## Learner Profile

• mostly sophomores
• prior experience in flipped classrooms
• mostly White and Asian students
• 77 percent female

## Fall 2018 Semester

Our first glance at the survey data showed no significant results between the pre and post surveys.

## Discretize

We grouped students into “unchanged”, “increase”, or “decrease” groups based on their pre- and post-semester survey results for the MBVI queries—where “unchanged” was a difference of -1, 0, or 1 on the 7-point Likert scales

## MBVI

Math Biology Values Instrument

## Video Stats

Do some students stop watching videos across term?

# Models

## Multiple Views

What influences students to view students multiple times?

``````
Call:
glm(formula = multiple_plays ~ intrigue_cat + fun_cat + appeals_cat +
interesting_cat + valuable_cat + important_cat + essential_cat +
useful_cat + work_harder_cat + worry_cat + intimidate_cat +
easy_hard + complicated_simple + confusing_clear + comfortable_uncomfortable +
satisfying_frustrating + challenging_not_challenging + pleasant_unpleasant +
chaotic_organized + GPA + pct_math + video_length + video_number,
family = "binomial", data = df)

Deviance Residuals:
Min       1Q   Median       3Q      Max
-2.3229  -0.9405  -0.4840   1.0090   2.2857

Coefficients: (1 not defined because of singularities)
Estimate Std. Error z value Pr(>|z|)
(Intercept)                 -2.764e+00  1.859e+00  -1.487 0.137076
intrigue_catincrease         1.150e-01  1.302e+00   0.088 0.929576
intrigue_catdecrease         1.370e+00  1.173e+00   1.168 0.242842
fun_catincrease             -8.922e-01  5.231e-01  -1.705 0.088116 .
fun_catdecrease              2.311e+00  7.322e-01   3.156 0.001598 **
appeals_catincrease          2.869e-01  6.281e-01   0.457 0.647773
appeals_catdecrease         -1.698e+00  6.447e-01  -2.634 0.008434 **
interesting_catincrease      1.707e+00  6.576e-01   2.595 0.009462 **
interesting_catdecrease     -2.212e+00  4.147e-01  -5.334 9.62e-08 ***
valuable_catincrease        -1.199e+00  7.577e-01  -1.582 0.113597
valuable_catdecrease        -1.618e+01  5.354e+02  -0.030 0.975895
important_catincrease       -8.767e-01  3.964e-01  -2.212 0.026967 *
important_catdecrease       -1.594e+01  5.354e+02  -0.030 0.976256
essential_catincrease       -3.513e-01  4.322e-01  -0.813 0.416374
essential_catdecrease        1.932e+01  5.354e+02   0.036 0.971210
useful_catincrease           4.869e-01  4.568e-01   1.066 0.286416
useful_catdecrease                  NA         NA      NA       NA
work_harder_catincrease      2.774e-01  2.685e-01   1.033 0.301604
work_harder_catdecrease     -2.725e-01  4.216e-01  -0.647 0.517945
worry_catincrease            5.338e-01  3.500e-01   1.525 0.127149
worry_catdecrease            9.584e-01  3.564e-01   2.689 0.007159 **
intimidate_catincrease      -1.419e+00  4.625e-01  -3.068 0.002155 **
intimidate_catdecrease      -1.469e+00  3.275e-01  -4.485 7.28e-06 ***
easy_hard3                   1.374e+00  7.488e-01   1.834 0.066603 .
easy_hard4                   2.940e-01  7.214e-01   0.408 0.683598
easy_hard5                   1.593e+00  7.100e-01   2.243 0.024890 *
easy_hard6                  -3.706e-01  8.303e-01  -0.446 0.655323
easy_hard7                  -1.694e-01  1.037e+00  -0.163 0.870239
complicated_simple          -6.506e-01  1.773e-01  -3.671 0.000242 ***
confusing_clear              2.877e-01  1.620e-01   1.776 0.075785 .
comfortable_uncomfortable   -3.927e-01  1.298e-01  -3.026 0.002476 **
satisfying_frustrating       2.317e-01  1.159e-01   1.999 0.045608 *
challenging_not_challenging -1.322e-01  1.641e-01  -0.805 0.420689
pleasant_unpleasant          7.729e-01  1.475e-01   5.239 1.62e-07 ***
chaotic_organized            3.058e-01  9.865e-02   3.100 0.001935 **
GPA                          2.159e-01  4.056e-01   0.532 0.594511
pct_math                    -3.338e-03  3.305e-03  -1.010 0.312373
video_length                 1.076e-04  1.861e-04   0.578 0.563013
video_number                -4.326e-02  1.217e-02  -3.555 0.000378 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

(Dispersion parameter for binomial family taken to be 1)

Null deviance: 1198.6  on 867  degrees of freedom
Residual deviance: 1000.0  on 830  degrees of freedom
(1089 observations deleted due to missingness)
AIC: 1076

Number of Fisher Scoring iterations: 12``````

Viewing multiple times is encouraged by

• It is fun (decrease) to use math to understand biology
• Using math to understand biology is interesting (increase)
• I worry (decrease) about getting worse grades in a biology course that incorporates math than one that does not
• pleasant versus unpleasant
• chaotic versus organized

Viewing multiple times is discouraged by

• Using math to understand biology appeals (decrease) to me
• Using math to understand biology is interesting (decrease)
• It is important (increase) for me to be able to do math for my career in the life sciences
• Taking a biology course that incorporates math intimidates (both) me
• complicated versus simple
• comfortable versus uncomfortable
• satisfying versus frustrating
• time in semester (video number)

## Viewing Time

What influences students to spend more time watching the videos?

``````
Call:
glm(formula = as.numeric(avg_view_time_when_played) ~ intrigue_cat +
fun_cat + appeals_cat + interesting_cat + valuable_cat +
important_cat + essential_cat + useful_cat + work_harder_cat +
worry_cat + intimidate_cat + easy_hard + complicated_simple +
confusing_clear + comfortable_uncomfortable + satisfying_frustrating +
challenging_not_challenging + pleasant_unpleasant + chaotic_organized +
GPA + pct_math + video_length + video_number, family = "gaussian",
data = df)

Deviance Residuals:
Min       1Q   Median       3Q      Max
-853.86  -128.02   -24.41   108.91  1139.41

Coefficients: (1 not defined because of singularities)
Estimate Std. Error t value Pr(>|t|)
(Intercept)                  180.5561   176.8864   1.021 0.307672
intrigue_catincrease         153.1457   116.2658   1.317 0.188134
intrigue_catdecrease         328.5588   104.4253   3.146 0.001712 **
fun_catincrease                2.3447    48.3834   0.048 0.961360
fun_catdecrease              -40.4265    74.1309  -0.545 0.585667
appeals_catincrease          -22.9577    56.2257  -0.408 0.683149
appeals_catdecrease           28.4891    66.2874   0.430 0.667466
interesting_catincrease       85.8513    60.3164   1.423 0.155011
interesting_catdecrease       -6.5632    41.9026  -0.157 0.875575
valuable_catincrease        -153.6194    72.3949  -2.122 0.034136 *
valuable_catdecrease        -872.1688   246.4276  -3.539 0.000424 ***
important_catincrease        -16.3917    39.5645  -0.414 0.678758
important_catdecrease       -842.0904   255.4479  -3.297 0.001020 **
essential_catincrease         78.0939    41.2858   1.892 0.058900 .
essential_catdecrease        826.7246   268.3537   3.081 0.002133 **
useful_catincrease           -28.3670    41.7338  -0.680 0.496876
useful_catdecrease                 NA         NA      NA       NA
work_harder_catincrease      -14.9730    27.3546  -0.547 0.584274
work_harder_catdecrease       36.4671    38.6517   0.943 0.345711
worry_catincrease             13.4219    37.2188   0.361 0.718474
worry_catdecrease             -2.8790    35.4262  -0.081 0.935249
intimidate_catincrease        -2.7321    45.7014  -0.060 0.952344
intimidate_catdecrease        33.5371    32.8474   1.021 0.307552
easy_hard3                   -34.3803    74.1131  -0.464 0.642848
easy_hard4                   -25.4733    71.6178  -0.356 0.722167
easy_hard5                   -26.0246    69.5317  -0.374 0.708289
easy_hard6                  -100.2542    82.3422  -1.218 0.223748
easy_hard7                   221.9490    96.7221   2.295 0.021999 *
complicated_simple           -21.7275    17.1182  -1.269 0.204705
confusing_clear               31.3572    16.0778   1.950 0.051472 .
comfortable_uncomfortable     28.3085    13.1634   2.151 0.031801 *
satisfying_frustrating       -20.8471    12.0115  -1.736 0.083008 .
challenging_not_challenging  -17.2412    16.4447  -1.048 0.294744
pleasant_unpleasant           -0.3234    14.5043  -0.022 0.982217
chaotic_organized            -19.1039     9.7751  -1.954 0.050996 .
GPA                           61.4313    39.0669   1.572 0.116225
pct_math                       0.1931     0.3323   0.581 0.561199
video_length                   0.2106     0.0188  11.204  < 2e-16 ***
video_number                   3.1522     1.2089   2.607 0.009288 **
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

(Dispersion parameter for gaussian family taken to be 51216.36)

Null deviance: 59330647  on 867  degrees of freedom
Residual deviance: 42509579  on 830  degrees of freedom
(1089 observations deleted due to missingness)
AIC: 11915

Number of Fisher Scoring iterations: 2``````

Viewing time is encouraged by

• Using math to understand biology intrigues (decrease) me
• comfortable versus uncomfortable
• time in semester (video number)

Viewing time is discouraged by

• Math is valuable (both) for me for my life science career
• It is important (decrease) for me to be able to do math for my career in the life sciences

## Take Home Messages

Students who viewed videos multiple times and/or for longer duration were

• more pessimistic about math emotions
• worried less about their course grade
• not affected by the proportion of math content

## Thank You

Derek Sollberger

• Data Analyst
• UC Merced
• dsollberger@ucmerced.edu

Dr Emily Weigel

• Course Instructor
• Georgia Tech
• emily.weigel@biosci.gatech.edu