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Takashi Yamashita; Donnette Narine; Wonmai Punksungka; Jenna W. Kramer; Rita Karam; Phyllis A. Cummins – Grantee Submission, 2023
Volunteering, STEM education and occupation, and information-processing skills such as literacy, numeracy, and digital problem-solving skills are important indicators of a nation's well-being as they represent civic engagement, economic development, and the human capital of the population. Although these critical social indicators have been…
Descriptors: Volunteers, STEM Education, Information Skills, Cognitive Processes
Runcie C. W. Chidebe; Phyllis A. Cummins; Rita Karam; Jenna Kramer; Donnette Narine; Takashi Yamashita – Grantee Submission, 2025
This qualitative study explored the views of community college employers, faculty, administrators, and students on the importance of foundational skills, including literacy, numeracy, and problem-solving skills, in science, technology, engineering, and math (STEM) programs of study. Participants (N=50) were recruited, semi-structured interviews…
Descriptors: STEM Careers, STEM Education, Employer Attitudes, School Business Relationship
Takashi Yamashita; Wonmai Punksungka; Phyllis A. Cummins – Grantee Submission, 2022
This chapter discusses three main topics: (1) volunteer as a form of civic engagement, (2) Science, Technology, Engineering and Mathematics (STEM), and (3) basic skills including literacy, numeracy and digital problem-solving skills. Volunteering, STEM background, and basic skills are important social and economic indicators of societies. Yet,…
Descriptors: Volunteers, Citizen Participation, STEM Education, Educational Background
Susu Zhang; Xueying Tang; Qiwei He; Jingchen Liu; Zhiliang Ying – Grantee Submission, 2024
Computerized assessments and interactive simulation tasks are increasingly popular and afford the collection of process data, i.e., an examinee's sequence of actions (e.g., clickstreams, keystrokes) that arises from interactions with each task. Action sequence data contain rich information on the problem-solving process but are in a nonstandard,…
Descriptors: Correlation, Problem Solving, Computer Assisted Testing, Prediction
Christian T. Doabler; Ben Clarke; Derek Kosty; Marah Sutherland; Jessica E. Turtura; Allison R. Firestone; Georgia L. Kimmel; Patrick Brott; Tasia L. Brafford; Nancy J. Nelson Fien; Keith Smolkowski; Kathleen Jungjohann – Grantee Submission, 2022
Measurement and statistical investigation are areas of mathematics visibly neglected in educational intervention research, particularly studies involving students with or at risk for mathematics difficulties (MD). This shortage is concerning given the importance these areas hold in students' pursuit of mathematical proficiency. This study…
Descriptors: Measurement, Statistical Analysis, Grade 2, Elementary School Students
Fuchs, Lynn S.; Gilbert, Jennifer K.; Powell, Sarah R.; Cirino, Paul T.; Fuchs, Douglas; Hamlett, Carol L.; Seethaler, Pamela M.; Tolar, Tammy D. – Grantee Submission, 2016
The purpose of this study was to examine child-level pathways in development of prealgebraic knowledge versus word-problem solving, while evaluating the contribution of calculation accuracy and fluency as mediators of foundational skills/processes. Children (n = 962; mean 7.60 years) were assessed on general cognitive processes and early…
Descriptors: Knowledge Level, Mathematics Skills, Word Problems (Mathematics), Problem Solving
Bryant, Diane Pedrotty; Bryant, Brian R.; Roberts, Greg; Vaughn, Sharon; Pfannenstiel, Kathleen Hughes; Porterfield, Jennifer; Gersten, Russell – Grantee Submission, 2011
The purpose of this study was to determine the effects of an early numeracy preventative Tier 2 intervention on the mathematics performance of first-grade students with mathematics difficulties. Researchers used a pretest-posttest control group design with randomized assignment of 139 students to the Tier 2 treatment condition and 65 students to…
Descriptors: Grade 1, Numeracy, Intervention, Mathematics Skills

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