1
00:00:00,000 --> 00:00:04,065
Portland at the
Nikoli neighborhood,

2
00:00:04,065 --> 00:00:06,165
pretty close to
Whittaker ponds.

3
00:00:06,165 --> 00:00:07,380
And we use that
as a study site.

4
00:00:07,380 --> 00:00:08,940
We have for several years

5
00:00:08,940 --> 00:00:10,515
and worked very
closely with

6
00:00:10,515 --> 00:00:12,720
Jana for Starkey and
some other folks

7
00:00:12,720 --> 00:00:14,925
at the Columbia Slough Watershed Council.

8
00:00:14,925 --> 00:00:17,220
And this is a really
cool project that we

9
00:00:17,220 --> 00:00:19,410
did last year
called Whittaker

10
00:00:19,410 --> 00:00:20,925
ponds wild an

11
00:00:20,925 --> 00:00:21,510
interdisciplinary

12
00:00:21,510 --> 00:00:22,950
project-based
learning opportunity

13
00:00:22,950 --> 00:00:25,380
for students here at
alliance high school.

14
00:00:25,380 --> 00:00:28,320
Okay, next Cyr. Thank you.

15
00:00:28,320 --> 00:00:29,550
All right.

16
00:00:29,550 --> 00:00:30,960
So the collaborators,

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00:00:30,960 --> 00:00:32,190
I was able to work closely

18
00:00:32,190 --> 00:00:33,900
with the
Colombia slough

19
00:00:33,900 --> 00:00:36,120
Watershed Council and with

20
00:00:36,120 --> 00:00:38,235
my friend Jeff worth
with Stay Wild Media,

21
00:00:38,235 --> 00:00:40,865
formerly known as
burning hearts media,

22
00:00:40,865 --> 00:00:43,460
to set up some trail
cameras and not

23
00:00:43,460 --> 00:00:45,500
too dissimilar to a hunter

24
00:00:45,500 --> 00:00:47,090
had going on
across the city,

25
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which I thought
was really cool.

26
00:00:48,530 --> 00:00:50,810
And so I'm going
to try to go

27
00:00:50,810 --> 00:00:52,880
through that kind of
boring stuff and get

28
00:00:52,880 --> 00:00:54,515
to some of the
cute animal videos

29
00:00:54,515 --> 00:00:57,110
here really soon on.

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00:00:57,110 --> 00:00:58,790
So the other collaborators

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00:00:58,790 --> 00:01:00,710
are my colleague here,

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00:01:00,710 --> 00:01:03,650
Alex Reynolds, who
teaches language arts.

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00:01:03,650 --> 00:01:08,945
To make our students
who, you know,

34
00:01:08,945 --> 00:01:11,420
braves a world,

35
00:01:11,420 --> 00:01:13,100
digital world
to get through

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a year of online school.

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00:01:15,005 --> 00:01:16,430
And then of
course, that would

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00:01:16,430 --> 00:01:18,810
occur ponds which we're
about to check out.

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00:01:19,480 --> 00:01:21,635
All right.

40
00:01:21,635 --> 00:01:23,885
So one more click.

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00:01:23,885 --> 00:01:24,710
All right.

42
00:01:24,710 --> 00:01:27,200
So fall 2020, COVID-19

43
00:01:27,200 --> 00:01:30,200
forces us to be
remote for school.

44
00:01:30,200 --> 00:01:32,210
I'm trying to teach
for psychology

45
00:01:32,210 --> 00:01:33,440
through a computer.

46
00:01:33,440 --> 00:01:34,820
I do a lot of field trips.

47
00:01:34,820 --> 00:01:37,220
I do a lot of
place-based learning,

48
00:01:37,220 --> 00:01:39,455
and so this is
not an easy task.

49
00:01:39,455 --> 00:01:41,150
So I was able to
get and set up

50
00:01:41,150 --> 00:01:42,680
a wildlife feel
camps throughout

51
00:01:42,680 --> 00:01:44,120
would occur ponds
Nature Park

52
00:01:44,120 --> 00:01:45,785
in Northeast Portland,

53
00:01:45,785 --> 00:01:47,675
adjacent to the
Columbia slew,

54
00:01:47,675 --> 00:01:50,405
along with Jeff from
stay wild media.

55
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He is he does this
for a living and

56
00:01:52,625 --> 00:01:55,010
he has really cool
stuff check out on.

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00:01:55,010 --> 00:01:56,270
And we wanted to
capture videos

58
00:01:56,270 --> 00:01:57,320
and collect data on

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00:01:57,320 --> 00:01:58,580
what kind of
critters were living

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00:01:58,580 --> 00:02:00,050
in the park and what
they were doing there.

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00:02:00,050 --> 00:02:02,940
And we come up with some
essential questions.

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00:02:02,950 --> 00:02:06,305
Types animals live
here, what do they do?

63
00:02:06,305 --> 00:02:08,690
How are their lives
in urban parks,

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00:02:08,690 --> 00:02:10,040
for example,
different from those

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in more rural habitats?

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And then I can actually

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see my last essential
question there.

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00:02:14,570 --> 00:02:18,215
Maybe I can do it now.

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00:02:18,215 --> 00:02:19,850
Oh, what kind of
stories can be

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00:02:19,850 --> 00:02:22,100
told about the lives
of these animals?

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00:02:22,100 --> 00:02:23,810
Okay. Next.

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00:02:23,810 --> 00:02:25,880
So this is Jeff
in the middle,

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00:02:25,880 --> 00:02:27,875
my son read on the
right and that's me.

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And we are setting up
the trail cams and

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actually Jennifer is
behind the camera

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00:02:31,130 --> 00:02:34,280
here making the video
of the setup process.

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So we made a cool
YouTube video through

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slew school that's
setting up,

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this is August of 2020.

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00:02:40,100 --> 00:02:41,810
Next.

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And this is where we
set up our cameras

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00:02:44,060 --> 00:02:45,380
so you can see
them spread out

83
00:02:45,380 --> 00:02:48,365
amongst the
different habitat,

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00:02:48,365 --> 00:02:50,540
micro habitats at
would occur pons.

85
00:02:50,540 --> 00:02:52,040
If you're not familiar
with this park,

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I highly recommend it.

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It's gorgeous.

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00:02:54,305 --> 00:02:56,090
It's used to be a dump

89
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in Portland and
now it's great,

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00:02:57,965 --> 00:02:59,825
really cool
Wildlife Center.

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So we have cameras
dropped at

92
00:03:02,990 --> 00:03:05,570
those sites partially so

93
00:03:05,570 --> 00:03:07,280
we don't lose track
where they are on.

94
00:03:07,280 --> 00:03:08,480
So kids get a
visual sense for

95
00:03:08,480 --> 00:03:10,220
where they are
throughout the park.

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00:03:10,220 --> 00:03:11,495
Next.

97
00:03:11,495 --> 00:03:13,010
And then we wanted
to collect data.

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00:03:13,010 --> 00:03:14,900
So we collected videos on,

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00:03:14,900 --> 00:03:16,550
on the animals that
came through there.

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00:03:16,550 --> 00:03:17,360
And I'm about show you

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00:03:17,360 --> 00:03:19,440
guys some of those videos.

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00:03:24,520 --> 00:03:27,080
Agreed with that
comment about some of

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00:03:27,080 --> 00:03:29,420
the best urban
birding in the area.

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00:03:29,420 --> 00:03:32,660
And these are some
beavers that we found.

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00:03:32,660 --> 00:03:35,120
And these were, you know,

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I'm not getting
the audio through,

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but I know there are

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00:03:37,430 --> 00:03:39,840
some pretty cute
sounds happening.

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They'll couple
of beavers and

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these were things,

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00:03:45,290 --> 00:03:46,670
you know, kids
love watching

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videos of cute animals.

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00:03:47,780 --> 00:03:50,135
And so we're able
to get some of a,

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of a threat all there.

115
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And a young beaver.

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There we go.

117
00:04:02,195 --> 00:04:03,410
Okay, and that's another

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00:04:03,410 --> 00:04:04,850
one of EBI Abraham's
to this when we

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00:04:04,850 --> 00:04:07,370
set up directly facing

120
00:04:07,370 --> 00:04:11,300
a freshly chewed tree
at Whittaker pons.

121
00:04:11,300 --> 00:04:13,250
And of course,
a beaver came

122
00:04:13,250 --> 00:04:15,200
like the next night and
just started going,

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00:04:15,200 --> 00:04:17,285
go into town on this guy.

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And after a while,

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it it didn't it

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00:04:21,590 --> 00:04:22,910
let it alone after
a little while.

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So I was only there
for a little bit.

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Of course, we
were interested,

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00:04:27,020 --> 00:04:28,415
of course, our area.

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And one of the species

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00:04:30,140 --> 00:04:31,790
that pointer I
talked about

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00:04:31,790 --> 00:04:34,910
there, the urban Coyote.

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00:04:34,910 --> 00:04:37,140
This is a pretty cool one.

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00:04:39,070 --> 00:04:49,370
And we're looking at bad.

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00:04:49,370 --> 00:04:50,790
There we go.

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00:04:51,970 --> 00:04:53,300
All right.

137
00:04:53,300 --> 00:04:55,850
These are playing
in plain sight of.

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00:04:55,850 --> 00:04:58,880
Ok, I gotcha. Cool.

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00:04:58,880 --> 00:05:00,200
And then, you
know that it was

140
00:05:00,200 --> 00:05:01,820
really fun for
the kids to look

141
00:05:01,820 --> 00:05:04,160
at what kind of animals we

142
00:05:04,160 --> 00:05:06,800
could find out there
what they were doing.

143
00:05:06,800 --> 00:05:08,630
They didn't notice that
a lot of the coyote,

144
00:05:08,630 --> 00:05:10,040
the traveling
little mini packs

145
00:05:10,040 --> 00:05:11,840
two or three at a
time coming through.

146
00:05:11,840 --> 00:05:13,160
So I was fun, can

147
00:05:13,160 --> 00:05:15,450
kind of see what
they're up to.

148
00:05:15,520 --> 00:05:18,350
And in the raccoon packs

149
00:05:18,350 --> 00:05:20,285
to come in through
and digging around.

150
00:05:20,285 --> 00:05:22,445
Oh, sorry, Sierra.

151
00:05:22,445 --> 00:05:23,900
That's a very
awkward PowerPoint

152
00:05:23,900 --> 00:05:25,710
that I created, isn't it?

153
00:05:32,500 --> 00:05:34,130
Thank you.

154
00:05:34,130 --> 00:05:36,710
Appreciate you guys are

155
00:05:36,710 --> 00:05:37,955
giving you get the rundown

156
00:05:37,955 --> 00:05:40,020
of what happened
at the end.

157
00:05:52,510 --> 00:05:55,770
Oh, I'm so sorry.

158
00:06:00,430 --> 00:06:02,510
Great blue heron walking

159
00:06:02,510 --> 00:06:05,210
array in front of
one of our traps.

160
00:06:05,210 --> 00:06:10,865
And I think Ciroc,

161
00:06:10,865 --> 00:06:12,665
I think I'll, I'll try
to present my screen.

162
00:06:12,665 --> 00:06:13,940
I can do here.
We got this is

163
00:06:13,940 --> 00:06:17,180
a good one. This
is really cool.

164
00:06:17,180 --> 00:06:18,500
You know, the kids had
a good time guessing

165
00:06:18,500 --> 00:06:20,675
maybe somebody
here in the panel.

166
00:06:20,675 --> 00:06:21,980
And the attendance knows

167
00:06:21,980 --> 00:06:23,210
what kind of fish that is.

168
00:06:23,210 --> 00:06:24,260
They were having
a great time

169
00:06:24,260 --> 00:06:25,955
trying to figure that out.

170
00:06:25,955 --> 00:06:28,310
But yeah, really cool.

171
00:06:28,310 --> 00:06:28,985
Yeah.

172
00:06:28,985 --> 00:06:30,245
It was it was
a tough year.

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00:06:30,245 --> 00:06:31,580
I'm not going
to lie, but we

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00:06:31,580 --> 00:06:32,600
got through it
with the help

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00:06:32,600 --> 00:06:34,400
of great folks at

176
00:06:34,400 --> 00:06:36,530
cool, obviously
Watershed Council.

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00:06:36,530 --> 00:06:39,120
Sweet.

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00:06:40,000 --> 00:06:43,640
And that's,
that's go Sierra.

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00:06:43,640 --> 00:06:44,930
Let's go to the I want
to make sure I have

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00:06:44,930 --> 00:06:46,790
time for oh, good.

181
00:06:46,790 --> 00:06:50,690
Bumble had maybe.
Here's a great II grid.

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00:06:50,690 --> 00:06:53,090
Set the West or East pond,

183
00:06:53,090 --> 00:06:55,580
which has had a really
great make over.

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00:06:55,580 --> 00:07:00,005
East pond, was
totally revitalized.

185
00:07:00,005 --> 00:07:03,290
Excited to see what
kind of stuff comes

186
00:07:03,290 --> 00:07:07,850
back there after that.
The cleanup effort.

187
00:07:07,850 --> 00:07:09,230
Cool.

188
00:07:09,230 --> 00:07:11,810
So yeah, let's just
go to the slide.

189
00:07:11,810 --> 00:07:14,640
What can show some of
the student outcomes.

190
00:07:18,390 --> 00:07:21,100
Oh, we got it. We got
as you got 1 first.

191
00:07:21,100 --> 00:07:24,250
Sorry. The river
otters are so cute.

192
00:07:24,250 --> 00:07:32,920
Yes. Yeah. This is
always special.

193
00:07:32,920 --> 00:07:34,000
Sometimes kids
would text me in

194
00:07:34,000 --> 00:07:35,410
the middle of the
night, like tonight,

195
00:07:35,410 --> 00:07:36,850
I'll talk about the
data and a second

196
00:07:36,850 --> 00:07:38,335
by David testing
him to lead back

197
00:07:38,335 --> 00:07:39,925
for I just saw

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00:07:39,925 --> 00:07:41,740
river otters because they

199
00:07:41,740 --> 00:07:42,400
are doing their work.

200
00:07:42,400 --> 00:07:43,750
I like all hours
of the night.

201
00:07:43,750 --> 00:07:45,370
That said I was very

202
00:07:45,370 --> 00:07:47,710
excited to see
those cuties.

203
00:07:47,710 --> 00:07:49,690
It it'll evoke in

204
00:07:49,690 --> 00:07:50,875
his head at the
bottom there.

205
00:07:50,875 --> 00:07:52,510
So this is that the
beaver dam that

206
00:07:52,510 --> 00:07:54,460
separates the West pond
from the slew down

207
00:07:54,460 --> 00:07:57,130
below and I just river

208
00:07:57,130 --> 00:07:59,550
otters are pretty special.

209
00:07:59,550 --> 00:08:03,440
All right, cool.

210
00:08:03,440 --> 00:08:04,580
Let's go to the
outcomes and then we'll

211
00:08:04,580 --> 00:08:05,840
do one last video.

212
00:08:05,840 --> 00:08:08,880
That is, it was actually
a student project.

213
00:08:09,940 --> 00:08:15,210
Thank you guys all
for the kind words.

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00:08:19,930 --> 00:08:21,305
All right.

215
00:08:21,305 --> 00:08:23,060
I think it's handy
slide gala city,

216
00:08:23,060 --> 00:08:23,720
the data real quick.

217
00:08:23,720 --> 00:08:25,670
Okay, so students
in the class were

218
00:08:25,670 --> 00:08:28,655
assigned videos
to analyze.

219
00:08:28,655 --> 00:08:30,230
It had between 10 and 20

220
00:08:30,230 --> 00:08:31,820
videos per week
to look at.

221
00:08:31,820 --> 00:08:33,320
And they were just
trying to look and

222
00:08:33,320 --> 00:08:34,880
see what animals
were there,

223
00:08:34,880 --> 00:08:35,960
if they could tell
anything about

224
00:08:35,960 --> 00:08:37,370
them, what species.

225
00:08:37,370 --> 00:08:39,425
Oftentimes.

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00:08:39,425 --> 00:08:41,615
Awesome. Thank you.

227
00:08:41,615 --> 00:08:43,640
The ad that they

228
00:08:43,640 --> 00:08:44,840
would just be leaves
blowing around.

229
00:08:44,840 --> 00:08:45,980
And so there'll
be a lot of data

230
00:08:45,980 --> 00:08:47,060
I collect that
sometimes, yeah,

231
00:08:47,060 --> 00:08:48,620
they'd get really
special videos

232
00:08:48,620 --> 00:08:50,900
on the cat that was
in the video earlier,

233
00:08:50,900 --> 00:08:52,430
they ended up naming her,

234
00:08:52,430 --> 00:08:53,825
I believe Miss beautiful.

235
00:08:53,825 --> 00:08:55,430
So we've become

236
00:08:55,430 --> 00:08:56,795
very close to
somebody's graders.

237
00:08:56,795 --> 00:08:58,100
And this is one of
the data sheets.

238
00:08:58,100 --> 00:08:59,630
So you can see
here, this is

239
00:08:59,630 --> 00:09:02,045
January through
late January,

240
00:09:02,045 --> 00:09:05,675
early February of
2020, of 2021.

241
00:09:05,675 --> 00:09:06,890
And you can see

242
00:09:06,890 --> 00:09:08,720
their data recorded
from students.

243
00:09:08,720 --> 00:09:10,010
They have the name of

244
00:09:10,010 --> 00:09:12,485
the creator that
they think they saw.

245
00:09:12,485 --> 00:09:15,530
And then of course,

246
00:09:15,530 --> 00:09:17,630
that, that scientific
name so they

247
00:09:17,630 --> 00:09:19,880
can put identify what
they had on there.

248
00:09:19,880 --> 00:09:21,650
And we did that for almost

249
00:09:21,650 --> 00:09:22,700
a full calendar year.

250
00:09:22,700 --> 00:09:23,420
So it was really cool,

251
00:09:23,420 --> 00:09:25,160
collected a lot of data.

252
00:09:25,160 --> 00:09:28,200
Go onto the next one.

253
00:09:28,570 --> 00:09:31,625
And then along with the,

254
00:09:31,625 --> 00:09:33,425
with the science project,

255
00:09:33,425 --> 00:09:35,045
students also
read the book,

256
00:09:35,045 --> 00:09:36,710
a wolf called wander,

257
00:09:36,710 --> 00:09:39,380
which is a story
about or seven,

258
00:09:39,380 --> 00:09:41,180
which is a really
cool wolf that

259
00:09:41,180 --> 00:09:42,740
traveled from the
law was dented

260
00:09:42,740 --> 00:09:45,110
Northern California
to create

261
00:09:45,110 --> 00:09:46,370
its own pack down there.

262
00:09:46,370 --> 00:09:48,185
And so we did the
school language arts.

263
00:09:48,185 --> 00:09:48,530
That's where

264
00:09:48,530 --> 00:09:50,125
the interdisciplinary
piece comes in.

265
00:09:50,125 --> 00:09:54,660
And so we focus a lot
on storytelling next.

266
00:09:56,040 --> 00:09:57,760
And these are some of

267
00:09:57,760 --> 00:09:58,960
our products
that kids did.

268
00:09:58,960 --> 00:10:02,530
So Colombia slew
Watershed Council.

269
00:10:02,530 --> 00:10:03,625
They allowed us to write

270
00:10:03,625 --> 00:10:06,100
a guest post
on their blog.

271
00:10:06,100 --> 00:10:07,660
And so students and

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the teachers did
some of that work.

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We embedded
videos in there.

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That's a really cool
link to check out.

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If you're into their,

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their blog site
should get our share.

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Next.

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Go.

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Some of the students
would create slideshows,

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videos, and then
have a bingo.

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When you were able
to find a video,

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you make your own
bingo card of

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animals and then
knock them off

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as you go and try
to get bingo.

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So those are some of

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the student
products that they

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created in the
virtual environment.

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Thank you. Thank you.

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And comics a day in
the life of a raccoon.

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So I've obviously

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with the
storytelling piece,

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we're really
looking at how do

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these animals survive in

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a pretty rough urban,

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urban environment,
we definitely

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see our share of
roadkill on the streets.

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And this is a cute comic
that a student made

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about a raccoon coming

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back to home at
Whittaker ponds.

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Go ahead and click to
the next one, sierra.

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And of course, bringing
the apple home

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to the baby raccoons.

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So at Whittaker bonds.

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Awesome.

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00:11:11,420 --> 00:11:13,700
Thanks Kayla,
appreciate that.

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00:11:13,700 --> 00:11:20,780
All right, Next,
some students made

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00:11:20,780 --> 00:11:23,660
really cool presentations
that they would

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00:11:23,660 --> 00:11:26,000
be able to teach
other folks about

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00:11:26,000 --> 00:11:27,200
different adaptations that

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the sum of animals
had that they

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saw in, in the cameras.

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So northern flicker, one

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of my favorite birds.

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We got some cool
videos of them.

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And they would create
slideshows about them

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00:11:39,830 --> 00:11:42,560
and learn more about
that creature in depth.

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Okay, Next.

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And this was a video

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00:11:49,880 --> 00:11:51,395
montage that a
student made.

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00:11:51,395 --> 00:11:53,300
I love this one. So
let's get this one.

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00:11:53,300 --> 00:11:56,660
Real goods here if we
can with the audio.

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00:11:56,660 --> 00:12:01,950
She's Canada.
Thank you so much.

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00:13:52,420 --> 00:13:55,085
And that was a
student project

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for the class and
he made a series.

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So if you're one of those,

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our feet go to

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YouTube and search up
with acre ponds wild.

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There's a couple more.

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00:14:03,065 --> 00:14:05,840
So, yeah, so the outcomes,

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00:14:05,840 --> 00:14:07,760
just a fun and engaging

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00:14:07,760 --> 00:14:10,805
way to learn
urban ecology.

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I think the students got a

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00:14:12,560 --> 00:14:13,820
really intimate look at

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00:14:13,820 --> 00:14:15,470
the critters that live in

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00:14:15,470 --> 00:14:17,810
our urban parks by
using technology.

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And we actually saw more

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00:14:19,310 --> 00:14:20,540
things than you would see,

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00:14:20,540 --> 00:14:22,460
I think in a regular
array because you

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00:14:22,460 --> 00:14:24,875
get these cameras
running 24 hours a day.

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00:14:24,875 --> 00:14:26,810
You got, you can
look and see

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00:14:26,810 --> 00:14:29,180
winner critters active at

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00:14:29,180 --> 00:14:31,010
night versus the daytime.

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Science and storytelling.

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00:14:32,450 --> 00:14:35,045
It's a win-win,
It's a great combo.

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00:14:35,045 --> 00:14:37,040
And we also allowed

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00:14:37,040 --> 00:14:38,990
for a lot of different
ways for students to

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00:14:38,990 --> 00:14:39,410
display

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00:14:39,410 --> 00:14:40,880
their knowledge and
their understanding

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00:14:40,880 --> 00:14:43,355
of there had been
Ecology, Environment.

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00:14:43,355 --> 00:14:45,350
I think students
really belt below

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00:14:45,350 --> 00:14:47,885
like empathy for the,

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00:14:47,885 --> 00:14:50,270
the park and the animals
that live there.

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00:14:50,270 --> 00:14:52,280
And yeah, we got
through a year of

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00:14:52,280 --> 00:14:54,935
online school, so somehow.

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00:14:54,935 --> 00:14:55,700
All right.

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00:14:55,700 --> 00:14:57,810
Last one.

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00:15:00,550 --> 00:15:02,525
And that's me.

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00:15:02,525 --> 00:15:04,160
So have any questions,

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00:15:04,160 --> 00:15:05,570
I'd be happy to answer
them in the Q and a.

360
00:15:05,570 --> 00:15:07,685
And that's my email
if you only hit me up

361
00:15:07,685 --> 00:15:10,370
and you can check out
more videos. Thanks.

362
00:15:10,370 --> 00:15:11,670
Hey buddy.

363
00:15:11,740 --> 00:15:14,075
Well, thanks so much.

364
00:15:14,075 --> 00:15:16,380
That was a great
way to end it.