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DTSTART;TZID=America/New_York:20261204T143000
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SUMMARY:Visiting Speaker: Self-Assessment in LCTL Programs - Paula Winke
DESCRIPTION:\nThe Center for Language Acquisition presents Paula Winke (
	Michigan State University)\, who will deliver her presentation\, “Why an
	d how to customize 'Can-do' based self-assessments for less-commonly-tau
	ght-language (LCTL) programs\, Spoiler alert: to align task-based format
	ive assessments with learning objectives\, LCTL textbook-content\, natio
	nal standards\, and student motivation.“\n\nTalk Description\n\nLess-com
	monly-taught-language (LCTL) programs are often small\, under-resourced\
	, and have unique instructional contexts. Therefore\, research findings 
	from studies conducted within larger\, more commonly taught language pro
	grams often do not generalize directly to LCTL contexts. There is a need
	 for more research that responds to the specific pedagogical and technol
	ogical needs of LCTL programs (Koné &amp\; Winke\, 2025). This presentat
	ion first reviews the rationale for greater research in LCTL contexts\, 
	highlighting how small programs\, course-sharing arrangements\, online i
	nstruction\, and distinctive linguistic and cultural learning goals requ
	ire direct support. It then focuses on how LCTL programs require assessm
	ents that are tailored to the languages’ unique materials\, goals\, and 
	learning pathways. Though there is evidence supporting the use of can-do
	–based self-assessments as formative measures of language development (W
	inke et al.\, 2023)\, there is also a question of whether language-agnos
	tic\, ACTFL-based can-do statements are best for LCTL measurement. Compu
	ter-adaptive self-assessments can provide meaningful information about l
	earners’ proficiency development while simultaneously promoting learner 
	agency\, goal-setting\, and motivation (Winke et al.\, 2023). Yet\, do s
	uch benefits extend to LCTL learners taking similar tests?\n\nThe talk c
	oncludes with the presentation of a practical framework for designing on
	line\, can-do-based self-assessments for LCTL classrooms. Using principl
	es of Backward Design\, practitioners can identify learning goals from L
	CTL textbooks and curricular materials\, align local goals with ACTFL pr
	oficiency standards\; and transform the goals into task-based can-do sta
	tements suitable for online testing. Examples from LCTL contexts will il
	lustrate how customized self-assessments can align objectives with teach
	ing materials and student motivation.\n\nSpeaker Background\n\nPaula Win
	ke is the inaugural "Arts and Letters" Professor at Michigan State Unive
	rsity\, where she teaches and researches language assessment. She was th
	e co-editor of the international journal Language Testing 2019–2024. She
	 has received numerous awards\, including the 2026 Alan Davies lecture a
	ward from the British Council\, the 2025 Best Article Award from the Int
	ernational Language Testing Association\, the 2021 Paul Pimsleur Award f
	or Research in World Language Education from the National Federation of 
	Modern Language Teacher Associations and the Modern Language Journal\, t
	he 2020 American Association of Applied Linguistics Research Award\, and
	 the 2012 International TESOL Award for Distinguished Research. She is a
	 Returned Peace Corps Volunteer (China\, 1998–2000)\, a two-time Fulbrig
	ht Scholar (Budapest\, Hungary\, 2008\; Leipzig\, Germany\, 2022)\, and 
	served on a language testing consensus committee in Washington\, D.C. at
	 the National Academies of Sciences\, Engineering\, and Medicine 2018–20
	20. She is currently the treasurer of the American Association of Applie
	d Linguistics and is an academic advisor to Cambridge University Press a
	nd Assessment\, United Kingdom.\n\nReferences\n\n• Wiggins\, G.\, &amp\;
	 McTighe\, J. (2005). Understanding by design (2nd ed.). Pearson.\n\n• W
	inke\, P.\, &amp\; Koné\, K. (2025). Why we need more research on techno
	logy applications in less-commonly-taught-language (LCTL) programs. Lang
	uage Learning &amp\; Technology\, 29(2)\, 1–10. https://doi.org/10.64152
	/10125/73608\n\n• Winke\, P.\, Zhang\, X.\, &amp\; Pierce\, S. J. (2023)
	. A closer look at a marginalized test method: Self-assessment as a meas
	ure of speaking proficiency. Studies in Second Language Acquisition\, 45
	(2)\, 416–441. https://doi.org/10.1017/S0272263122000079\n\nThis event i
	s co-sponsored by Penn State University Libraries. See a curated list of
	 publications by all 2026–27 CLA visiting speakers.\n\nFor more details:
	 https://events.la.psu.edu/event/self-assessment-in-lctl-programs-paula-
	winke/
X-ALT-DESC;FMTTYPE=text/html:<html><head></head><body><p>The Center for 
	Language Acquisition presents Paula Winke (Michigan State University), w
	ho will deliver her presentation, “Why and how to customize 'Can-do' bas
	ed self-assessments for less-commonly-taught-language (LCTL) programs, S
	poiler alert: to align task-based formative assessments with learning ob
	jectives, LCTL textbook-content, national standards, and student motivat
	ion.“</p><p><strong>Talk Description</strong></p><p>Less-commonly-taught
	-language (LCTL) programs are often small, under-resourced, and have uni
	que instructional contexts. Therefore, research findings from studies co
	nducted within larger, more commonly taught language programs often do n
	ot generalize directly to LCTL contexts. There is a need for more resear
	ch that responds to the specific pedagogical and technological needs of 
	LCTL programs (Koné &amp; Winke, 2025). This presentation first reviews 
	the rationale for greater research in LCTL contexts, highlighting how sm
	all programs, course-sharing arrangements, online instruction, and disti
	nctive linguistic and cultural learning goals require direct support. It
	 then focuses on how LCTL programs require assessments that are tailored
	 to the languages’ unique materials, goals, and learning pathways. Thoug
	h there is evidence supporting the use of can-do–based self-assessments 
	as formative measures of language development (Winke et al., 2023), ther
	e is also a question of whether language-agnostic, ACTFL-based can-do st
	atements are best for LCTL measurement. Computer-adaptive self-assessmen
	ts can provide meaningful information about learners’ proficiency develo
	pment while simultaneously promoting learner agency, goal-setting, and m
	otivation (Winke et al., 2023). Yet, do such benefits extend to LCTL lea
	rners taking similar tests?<br />The talk concludes with the presentatio
	n of a practical framework for designing online, can-do-based self-asses
	sments for LCTL classrooms. Using principles of Backward Design, practit
	ioners can identify learning goals from LCTL textbooks and curricular ma
	terials, align local goals with ACTFL proficiency standards; and transfo
	rm the goals into task-based can-do statements suitable for online testi
	ng. Examples from LCTL contexts will illustrate how customized self-asse
	ssments can align objectives with teaching materials and student motivat
	ion.</p><p><strong>Speaker Background</strong></p><p>Paula Winke is the 
	inaugural "Arts and Letters" Professor at Michigan State University, whe
	re she teaches and researches language assessment. She was the co-editor
	 of the international journal <em>Language Testing</em> 2019–2024. She h
	as received numerous awards, including the 2026 Alan Davies lecture awar
	d from the British Council, the 2025 Best Article Award from the Interna
	tional Language Testing Association, the 2021 Paul Pimsleur Award for Re
	search in World Language Education from the National Federation of Moder
	n Language Teacher Associations and the <em>Modern Language Journal</em>
	, the 2020 American Association of Applied Linguistics Research Award, a
	nd the 2012 International TESOL Award for Distinguished Research. She is
	 a Returned Peace Corps Volunteer (China, 1998–2000), a two-time Fulbrig
	ht Scholar (Budapest, Hungary, 2008; Leipzig, Germany, 2022), and served
	 on a language testing consensus committee in Washington, D.C. at the Na
	tional Academies of Sciences, Engineering, and Medicine 2018–2020. She i
	s currently the treasurer of the American Association of Applied Linguis
	tics and is an academic advisor to Cambridge University Press and Assess
	ment, United Kingdom.</p><p><strong>References</strong></p><p>• Wiggins,
	 G., &amp; McTighe, J. (2005). Understanding by design (2nd ed.). Pearso
	n.<br />• Winke, P., &amp; Koné, K. (2025). Why we need more research on
	 technology applications in less-commonly-taught-language (LCTL) program
	s. Language Learning &amp; Technology, 29(2), 1–10. https://doi.org/10.6
	4152/10125/73608<br />• Winke, P., Zhang, X., &amp; Pierce, S. J. (2023)
	. A closer look at a marginalized test method: Self-assessment as a meas
	ure of speaking proficiency. Studies in Second Language Acquisition, 45(
	2), 416–441. https://doi.org/10.1017/S0272263122000079</p><p>This event 
	is co-sponsored by Penn State University Libraries. <a href="https://gui
	des.libraries.psu.edu/linguistics/CLA-lecture-series">See a curated list
	 of publications by all 2026–27 CLA visiting speakers.</a></p><p>For mor
	e details: <a href='https://events.la.psu.edu/event/self-assessment-in-l
	ctl-programs-paula-winke/'>https://events.la.psu.edu/event/self-assessme
	nt-in-lctl-programs-paula-winke/</a></p></body></html>
LOCATION:360 Willard Building
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