STEM As I Am Phase I (STEM AIM)
STEM As I Am: A Culturally Relevant Media-enhanced Tool for Engaging Black Middle School Students and Their Families in STEM
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Contact
Study Contact
- Name: David R Smith, PhD
- Phone Number: 541-484-2123
- Email: David.Smith@influentsin.com
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
- being the parent/guardian of a middle school student who identifies as Black/African American
- having a smartphone or tablet
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Other
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
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Experimental: STEM-AIM
The STEM-AIM app will provide students and their families with a media-enhanced learning experience.
Videos will feature Black STEM heroes who describe their paths to STEM and the growth mindset skills that helped them overcome barriers and challenges.
STEM heroes and near-peer vignettes introduce a set of academic vocabulary words that underlie STEM achievement.
Users then practice drag and drop definition, spelling, and usage games.
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Mobile app to deliver culturally responsive role modeling and evidence-based instruction (modeling, practice, feedback) in the academic vocabulary, behaviors, and mindset that underlie STEM success.
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Student Academic Vocabulary Word Meaning (SAVM)
Time Frame: Baseline (pre-treatment) and 6 weeks (post-treatment)
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SAVM will measure change in student vocabulary knowledge (multiple choice test of meaning).
The multiple choice test is based on the assessment used in Beck et al. (1982) and McKeown et al. (1983) with middle school students.
Scores were computed as the total percentage of vocabulary words correctly identified out of 72.
Score could range from 0 to 100 and higher scores indicate greater levels of vocabulary knowledge.
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Baseline (pre-treatment) and 6 weeks (post-treatment)
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Parent Academic Vocabulary Word Meaning (PAVM)
Time Frame: Baseline (pre-treatment) and 6 weeks (post-treatment)
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PAVM will measure change in parent vocabulary knowledge (multiple choice test of meaning).
The multiple choice test is based on the assessment used in Beck et al. (1982) and McKeown et al. (1983) with middle school students.
Scores were computed as the total percentage of vocabulary words correctly identified out of 72.
Score could range from 0 to 100 and higher scores indicate greater levels of vocabulary knowledge.
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Baseline (pre-treatment) and 6 weeks (post-treatment)
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Student Academic Vocabulary Word Usage (SAVWU)
Time Frame: Baseline (pre-treatment) and 6 weeks (post-treatment)
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SAVWU will measure change in student ability to correctly use vocabulary words in sentence contexts.
The sentence verification test is similar to the Test of Instructed Word Knowledge in Vocabulary used in the Apthorp et al. (2012) study of vocabulary learning in middle school.
Scores were computed as the total percentage of vocabulary words correctly used in sentence context out of 72 items.
Score could range from 0 to 100, and higher scores indicate greater levels of vocabulary words used correctly in a sentence.
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Baseline (pre-treatment) and 6 weeks (post-treatment)
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Parent Academic Vocabulary Word Usage (PAVWU)
Time Frame: Baseline (pre-treatment) and 6 weeks (post-treatment)
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PAVWU will measure change in parent ability to correctly use vocabulary words in sentence contexts.
The sentence verification test is similar to the Test of Instructed Word Knowledge in Vocabulary used in the Apthorp et al. (2012) study of vocabulary learning in middle school.
Scores were computed as the total percentage of vocabulary words correctly used in sentence context out of 72 items.
Score could range from 0 to 100 and higher scores indicate greater levels of vocabulary words used correctly in a sentence.
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Baseline (pre-treatment) and 6 weeks (post-treatment)
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Student Fixed Mindset (SFM)
Time Frame: Baseline (pre-treatment) and 6 weeks (post-treatment)
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SFM is a four-item survey measure of fixed mindset.
Student responds to statements about their beliefs about learning and intelligence.
The measure uses a 6-point scale.
The item scores are averaged into a single scale and can range from 1 to 6, with higher values corresondeing to more fixed mindsets.
The measure has demonstrated reliability (Yeager et al., 2016).
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Baseline (pre-treatment) and 6 weeks (post-treatment)
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Student Academic Behaviors (SAB)
Time Frame: Baseline (pre-treatment) and 6 weeks (post-treatment)
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SAB is a five-item survey measure of academic behaviors strongly linked to student success.
Students respond to questions about how frequently they engage in these behaviors (e.g., turn in assignments on time).
The measure uses a 5-point scale (1 = strongly disagree, 5 = strongly agree) and a mean score was computed and could range from 1 to 5. Higher scores indicated greater levels of perceived academic learning behaviors., and has demonstrated reliability (Snipes & Tran, 2016).
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Baseline (pre-treatment) and 6 weeks (post-treatment)
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Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Student Academic Vocabulary Usage Behaviors (SAVUB)
Time Frame: Baseline (pre-treatment) and 6 weeks (post-treatment)
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SAVUB will measure change in student use of SAV words (10 items).
Items were adapted from: the Student Engagement Instrument (SEI; Betts, Appleton, Reschly, et al., 2010).
Items used a 4-point response option (1 = not at all, 4 = 3-4 times per week) and a mean score and could range from 1 to 4. Higher scores indicated greater use of SAV words.
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Baseline (pre-treatment) and 6 weeks (post-treatment)
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Parent Academic Vocabulary Usage Behaviors (SAVUB)
Time Frame: Baseline (pre-treatment) and 6 weeks (post-treatment)
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SAVUB will measure change in parent use of SAV words (10 items).
Items were adapted from: the Student Engagement Instrument (SEI; Betts, Appleton, Reschly, et al., 2010).
Items used a 4-point response option (1 = not at all, 4 = 3-4 times per week) and a mean score and could range from 1 to 4. Higher scores indicated greater use of SAV words.
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Baseline (pre-treatment) and 6 weeks (post-treatment)
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Student Confidence in using AV words (SCAV)
Time Frame: Baseline (pre-treatment) and 6 weeks (post-treatment)
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SCAV will measure student confidence in using SAV words (10 items).
Items were adapted from the Efficacy to Influence School-related Performance subscale of the Parental Self-Efficacy Scale (PSES; Bandura, et al., 2001).
Items were developed using procedures for developing self-efficacy scales (Bandura et al., 2001).
Items used a 5-point response option (1 = not at all confident, 5 = extremely confident) and a mean score was computed and could range from 1 to 5. Higher scores indicated greater confidence using SAV words.
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Baseline (pre-treatment) and 6 weeks (post-treatment)
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Parent Confidence in using AV words (PCAV)
Time Frame: Baseline (pre-treatment) and 6 weeks (post-treatment)
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PCAV will measure parent confidence in using SAV words (10 items).
Items were adapted from the Efficacy to Influence School-related Performance subscale of the Parental Self-Efficacy Scale (PSES; Bandura, et al., 2001).
Items were developed using procedures for developing self-efficacy scales (Bandura et al., 2001).
Items used a 5-point response option (1 = not at all confident, 5 = extremely confident) and a mean score was computed (alpha = .95)
and could range from 1 to 5. Higher scores indicated greater confidence using SAV words.
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Baseline (pre-treatment) and 6 weeks (post-treatment)
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Student Interest in choosing STEM careers (STEM)
Time Frame: Baseline (pre-treatment) and 6 weeks (post-treatment)
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STEM will measure students' interest in STEM careers (4 items).
Items were adapted from: the Student Engagement Instrument (SEI; Betts, Appleton, Reschly, et al., 2010) and the Efficacy to Influence School-related Performance subscale of the Parental Self-Efficacy Scale (PSES; Bandura, et al., 2001).
Items used a 5-point response option (1 = not at all interested, 5 = extremely interested) and a mean score was computed and could range from 1 to 5. Higher scores indicated greater interest in using SAV words.
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Baseline (pre-treatment) and 6 weeks (post-treatment)
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Student Technology Acceptance (STA) - Acceptability of Intervention (AIM)
Time Frame: 6-weeks after baseline (Post treatment)
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Acceptability of Intervention Measure (AIM; 4-items) is a measure that often used in formative studies and are considered leading indicators of implementation success (Proctor et al., 2011; Bowen et al., 2009).
Uses a 5-point response option, have demonstrated reliability, test-retest reliability, and shown to assess sensitivity to change (Weiner et al. 2017).
A mean score will be computed and scores can range from 1 to 5. Higher scores indicate greater acceptability of the intervention.
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6-weeks after baseline (Post treatment)
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Student Technology Acceptance (STA) - Intervention Appropriateness Measure (IAM)
Time Frame: 6-weeks after baseline (Post treatment)
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Intervention Appropriateness Measure (IAM; 4-items) is a measure that often used in formative studies and are considered leading indicators of implementation success (Proctor et al., 2011; Bowen et al., 2009).
Uses a 5-point response option, have demonstrated reliability, test-retest reliability, and shown to assess sensitivity to change (Weiner et al. 2017).
A mean score will be computed and scores can range from 1 to 5. Higher scores indicate greater approriateness of the intervention.
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6-weeks after baseline (Post treatment)
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Parent Technology Acceptance (PTA) - Acceptability of Intervention (AIM)
Time Frame: 6-weeks after baseline (post treatment)
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Acceptability of Intervention Measure (AIM; 4-items) is a measure that often used in formative studies and are considered leading indicators of implementation success (Proctor et al., 2011; Bowen et al., 2009).
Uses a 5-point response option, have demonstrated reliability, test-retest reliability, and shown to assess sensitivity to change (Weiner et al. 2017).
A mean score will be computed and scores can range from 1 to 5. Higher scores indicate greater acceptability of the intervention.
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6-weeks after baseline (post treatment)
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Parent Technology Acceptance (PTA) - Intervention Approriateness Measure (IAM)
Time Frame: 6-weeks after baseline (post treatment)
|
Intervention Appropriateness Measure (IAM; 4-items) is a measure that often used in formative studies and are considered leading indicators of implementation success (Proctor et al., 2011; Bowen et al., 2009).
Uses a 5-point response option, have demonstrated reliability, test-retest reliability, and shown to assess sensitivity to change (Weiner et al. 2017).
A mean score will be computed and scores can range from 1 to 5. Higher scores indicate greater approriateness of the intervention.
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6-weeks after baseline (post treatment)
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Student Satisfaction with STEM-AIM Program
Time Frame: 6-weeks after baseline (post treatment)
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Student satisfaction with the STEM-AIM program will be measured with 15 items that ask students to rate, on a 5-point Likert response scale, the degree to which the STEM-AIM features were helpful, useful, enjoyable, and met their expectations.
A mean score will be computed and scores can range from 1 to 5. Higher scores indicate greater satisfaction with the program.
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6-weeks after baseline (post treatment)
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Parent Satisfaction with STEM-AIM Program
Time Frame: 6-weeks after baseline (post treatment)
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Parent satisfaction with the STEM-AIM program will be measured with 15 items that ask parents to rate, on a 5-point Likert response scale, the degree to which the STEM-AIM features were helpful, useful, enjoyable, and met their expectations.
A mean score will be computed and scores can range from 1 to 5. Higher scores indicate greater satisfaction with the program.
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6-weeks after baseline (post treatment)
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Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Principal Investigator: David R Smith, PhD, Oregon Research Behavioral Intervention Strategies, Inc.
Publications and helpful links
General Publications
- Bowen DJ, Kreuter M, Spring B, Cofta-Woerpel L, Linnan L, Weiner D, Bakken S, Kaplan CP, Squiers L, Fabrizio C, Fernandez M. How we design feasibility studies. Am J Prev Med. 2009 May;36(5):452-7. doi: 10.1016/j.amepre.2009.02.002.
- Bandura, A., Barbaranelli, C., Caprara, G. V., & Pastorelli, C. (2001). Self-efficacy beliefs as shapers of children's aspirations and career trajectories. Child Development, 72, 187-206. http://dx.doi.org/10.1111/1467-8624.00273
- Yeager DS,Romero C,Paunesku D,Hulleman CS,Schneider B,Hinojosa C,Lee HY,O'Brien J,Flint K,Roberts A,Trott J,Greene D,Walton GM,Dweck CS
- McKeown, M. G., Beck, I. L., Omanson, R. C., & Perfetti, C. A. (1983). The Effects of Long-Term Vocabulary Instruction on Reading Comprehension: A Replication. Journal of Reading Behavior, 15(1), 3-18. https://doi.org/10.1080/10862968309547474 (Original work published 1983)
- Beck I. L., Mccaslin E. S., Mckeown M. G. The rationale and design of a program to teach vocabulary to fourth-grade students (LRDC Publication 1980/25). Pittsburgh: University of Pittsburgh, Learning Research and Development Center, 1980. Google Scholar Beck I. L., Omanson R. C., Mckeown M. G. An instructional redesign of reading lessons: Effects on comprehension. Reading Research Quarterly, 1982, 17, 462-481.
- Snipes, J., & Tran, L. (2016). Early Indicators and Academic Mindsets in the Clark County School District. Regional Educational Laboratory West.
- Weiner, B. J., Lewis, C. C., Stanick, C., Powell, B. J., Dorsey, C. N., Clary, A. S., . . . Halko, H. (2017). Psychometric assessment of three newly developed implementation outcome measures. Implementation science, 12(1), 108. doi:10.1186/s13012-017-0635-3
- Proctor, E., Silmere, H., Raghavan, R., Hovmand, P., Aarons, G., Bunger, A., . . . Hensley, M. (2011). Outcomes for implementation research: conceptual distinctions, measurement challenges, and research agenda. Administration and Policy in Mental Health and Mental Health Services Research, 38(2), 65-76.
- Betts, J. E., Appleton, J. J., Reschly, A. L., Christenson, S. L., & Huebner, E. S. (2010). A study of the factorial invariance of the Student Engagement Instrument (SEI): Results from middle and high school students. School Psychology Quarterly, 25(2), 84.
- Apthorp, H., Randel, B., Cherasaro, T., Clark, T., McKeown, M., & Beck, I. (2012). Effects of a Supplemental Vocabulary Program on Word Knowledge and Passage Comprehension. Journal of Research on Educational Effectiveness, 5(2), 160-188. https://doi.org/10.1080/19345747.2012.660240
Study record dates
Study Major Dates
Study Start (Estimated)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Other Study ID Numbers
Other Study ID Numbers
- MD020230
- 1R43MD020230-01 (U.S. NIH Grant/Contract)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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