Spring 5 PM PT - AC Level 1 - 2026.xlsx

	A	B	C	D	E	F	G	H	I	J	K	L	M	N	O
1	Click the link on their name to see their Student Profile (if there is one)				Attendance
2					Apr 29	May 6	May 13	May 20	May 27	Jun 3	Jun 10	Jun 17	Jun 24	Jul 8
3	Name	Email	Phone	Program	#1	#2	#3	#4	#5	#6	#7	#8	#9	#10	Notes
4	Morgan Welles	lucky1now@juno.com	(503) 398-5643	--											one-off
5	Kim Ward	kim1ward65@gmail.com	(435) 590-0945	--											one-off
6	Margaret Sandoval	sandovalmaggie@gmail.com	(303) 532-9933	--											one-off
7	Diana Frank	dianavfx@gmail.com	(239) 898-1270	--											one-off
8	Sandra Farley	balancedanimal@gmail.com	(509) 520-1774	--											one-off
9	Rosie Kovacs	etherealhealingwithrosie@gmail.com		AMP											one-off
10	Tiina Strachan	tiinastrachan@gmail.com	(416) 358-8694	--											one-off
11	Mary Gacek	pawzitivestrides@gmail.com	(857) 540-6952	--											one-off
12	Anne Herbert	spyglassvs@yahoo.com		--											one-off
13	Rebecca (Becky) Faulkner	sunblastmaui@gmail.com	(808) 280-9143	--											one-off
14	Andrea Angell	awrieangell1111@aol.com	(406) 208-3572	--											one-off
15	Reather Newsome	reather.newsome@gmail.com	(407) 227-6841	--											one-off
16	Gale Alles	gale.alles@gmail.com	(781) 860-2186	--											one-off
17	Karen Borejka	kborejka@gmail.com	(513) 328-8475	--											one-off
18	Tara Borejka	tarakarn@gmail.com	(646) 270-7801	--											one-off
19	Michelle Beish	michellebeish@gmail.com	(248) 496-6869	--											one-off
20	Hara Lewis	haralewis26@gmail.com	(818) 391-0169	AMP
21	Patrizia Maestrello	mellishis@gmail.com	(604) 619-9401	--											one-off
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23	TT AUDIT
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27	TEACHER NOTES:
28	*please use this space to write out any and all notes, either about the class itself, individual students, whatever may be helpful to those who teach this group after you! Include your name and the date.
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30	Date	Teacher	Notes
31	5/20	Lorrin	Again, good accuracy overall. Had a discussion about when things show up that don't fit your expectations (doesn't everybody ride their horses? No :) ) Also discussed focusing on what you get right to build the feedback loop for accuracy, and describing what you get rather than assuming (is that orange treat a carrot or a piece of sweet potato/yam?
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