Toni A. May

Dr. Toni A. May

College of Community and Public Affairs, Binghamton University, Binghamton, New York, USA
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Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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3 February 2022 in Journal of Research in Science Teaching
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Journal Article
Closed access
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MLMegan K. Littrell
Megan K. Littrell
AGAnne U. Gold
Anne U. Gold
KKKristin L. Kelly Koskey
Kristin L. Kelly Koskey
Toni A. MayToni A. May
Toni A. May
ELErin Leckey
Erin Leckey
COChristine Okochi
Christine Okochi

4 October 2019 in School Science and Mathematics
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Journal Article
Closed access
PDF file
Toni A. MayToni A. May
Toni A. May
CJCarla C. Johnson
Carla C. Johnson

24 January 2025 in Education Sciences
Verified
Journal Article
Open access
PDF file
Toni A. MayToni A. May
Toni A. May
YFYiyun Fan
Yiyun Fan
GSGregory E. Stone
Gregory E. Stone
KKKristin L. Kelly Koskey
Kristin L. Kelly Koskey
CSConnor Sondergeld
Connor Sondergeld
Carla JohnsonCarla Johnson
Carla Johnson
Generative artificial intelligence (GenAI) tools developed to support teaching and learning are widely available. Trustworthiness concerns, however, have prompted calls for researchers to study their effectiveness and for educators and educational researchers to be involved in their creation and piloting processes. This study investigated one type of GenAI created to support educators: multiple-choice question generators (MCQ GenAI). Among the nine MCQ GenAI tools investigated, a variety of useful options were available, but only one indicated teacher involvement and none mentioned testing experts in development processes. MCQ GenAI-created items (n = 270) were coded based on MCQ quality item-writing guidelines. Results showed 80.00% of items (n = 216) violated at least one guideline, with 73.70% (n = 199) likely to produce major measurement error (should not use without revision), 6.30% (n = 17) likely to elicit minor measurement error (consider modifying), and 20.00% (n = 54) acceptable (usable as created). Implications suggest multidisciplinary teams are needed in educational GenAI tool development.

11 February 2020 in School Science and Mathematics
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Journal Article
Closed access
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Toni A. MayToni A. May
Toni A. May
Kathleen ProvinzanoKathleen Provinzano
Kathleen Provinzano
CJCarla C. Johnson
Carla C. Johnson

2 January 2021 in Applied Measurement in Education
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Journal Article
Closed access
Jonathan David BosticJonathan David Bostic
Jonathan David Bostic
Toni A. MayToni A. May
Toni A. May
GMGabriel Matney
Gabriel Matney
GSGregory Stone
Gregory Stone
THTiara Hicks
Tiara Hicks
Response process validity evidence provides a window into a respondent’s cognitive processing. The purpose of this study is to describe a new data collection tool called a whole-class think aloud (WCTA). This work is performed as part of test development for a series of problem-solving measures to be used in elementary and middle grades. Data from third-grade students were collected in a 1–1 think-aloud setting and compared to data from similar students as part of WCTAs. Findings indicated that students performed similarly on the items when the two think-aloud settings were compared. Respondents also needed less encouragement to share ideas aloud during the WCTA compared to the 1–1 think aloud. They also communicated feeling more comfortable in the WCTA setting compared to the 1–1 think aloud. Drawing the findings together, WCTAs functioned as well if not better, than 1–1 think alouds for the purpose of contextualizing third-grade students’ cognitive processes. Future studies using WCTAs are recommended to explore their limitations and other factors that might impact their success as data gathering tools.