Education Commons^™

Toward Cs1 Content Subscales: A Mixed-Methods Analysis Of An Introductory Computing Assessment, Miranda C. Parker, Matt J. Davidson, Yvonne S. Kao, Lauren Margulieux, Zachary Tidler, Jan Vahrenhold

Learning Sciences Faculty Publications

Background and Context. There is a constant, demonstrated need for valid and reliable assessments in computing education research. While there exist assessments at a course-based level (e.g., CS1, Data Structures, Discrete math, etc.), instructors and researchers would also like concept-based subscales that are more fine-grained. However, assessments designed and validated at the course level need additional work to determine whether they can reliably and validly measure individual concepts.

Objectives. In this paper, we explore the content and factor structure of an existing CS1 assessment, the Second CS1 (SCS1) assessment, which consists of nine CS1 concepts and three question types (definitional, …

Understanding Congressional Coalitions: A Discourse Network Analysis Of Congressional Hearings For The Every Student Succeeds Act, Yinying Wang

Educational Policy Studies Faculty Publications

The purpose of this study is to investigate policy coalitions of the Every Student Succeeds Act (ESSA) at U.S. congressional hearings. This study is grounded in the advocacy coalition framework, which argues that advocacy coalitions are forged by policy actors who have similar policy preferences. To identify the coalitions, according to the policy claims articulated by policy actors, discourse network analysis was performed to examine 30 testimonies in the congressional hearings on ESSA since its passage in 2015. The policy actors fall into eight categories: (1) federal administrative and executive offices, (2) state administrative and executive offices, (3) teachers unions, …

Navigating The Contested Terrain Of Teacher Education Policy And Practice: Authors Respond To Scale, Nick Henning, Alison G. Dover, Erica Dotson, Ruchi Argwal Rangnath, Christine Clayton, Martha K. Donovan, Susan Ophelia Cannon, Stephanie Behm Cross, Alyssa Dunn

Middle and Secondary Education Faculty Publications

Stanford Center for Assessment, Learning, and Equity (SCALE) provided a commentary on the manuscripts in the first part of this special issue, which highlighted the benefits of edTPA and the necessity for such assessment programs to improve teacher education and strengthen teaching practices. In turn, the authors responded to the SCALE commentary. The authors’ responses raise concerns about equity, fairness, and unintended consequences of teacher performance assessments. These responses highlight the need for continued dialogue on ways to improve teacher education and strengthen the teaching profession.

Multimodal K-12 Assessment Frameworks And The Interactive Audience: An Exploratory Analysis Of Existing Frameworks, Ewa Mcgrail, Nadia Behizadeh

Middle and Secondary Education Faculty Publications

Multimodal writing often occurs through membership in an online, participatory culture; thus, the audience for student writers potentially can shift from imagined readers to actual, accessible readers and responders. In this article, we thoroughly review the idea of audience and then report results from an exploratory review of K-12 assessment frameworks and analyze how key frameworks address the need for consideration of an interactive audience. We found that multimodal composition is being defined consistently across all frameworks as composition that includes multiple ways of communicating, but the majority of multimodal composition examples were texts that were non-interactive composition types (as …

The Impact Of Library Resource Utilization On Undergraduate Students' Academic Performance: A Propensity Score Matching Design, Felly Chiteng Kot, Jennifer Jones

University Library Faculty Publications

This study uses three cohorts of first-time, full-time undergraduate students (N=8,652) at a large, metropolitan, public research university to examine the impact of student use of three library resources (workstations, study rooms, and research clinics) on academic performance. To deal with self-selection bias and estimate this impact more accurately, we used propensity score matching. Using this unique approach allowed us to construct treatment and control groups with similar background characteristics. We found that using a given library resource was associated with a small, but also meaningful, gain in first-term grade point average, net of other factors.