Cathy Newman Thomas

Using Evidence-Based Multimedia to Improve Vocabulary Performance of Adolescents With LD: A UDL Approach

Universal Design for Learning (UDL) is a framework that is commonly used for guiding the construction and delivery of instruction intended to support all students. In this study, we used a related model to guide creation of a multimedia-based instructional tool called content acquisition podcasts (CAPs). CAPs delivered vocabulary instruction during two concurrent social studies units to 32 SWD and 109 students without disabilities. We created CAPs using a combination of evidence-based practices for vocabulary instruction, UDL, and Mayer’s instructional design principles. High school students with and without learning disabilities completed weekly curriculum-based measurement (CBM) probes (vocabulary matching) over an 8-week period along with two corresponding posttests. Students were nested within sections of world history and randomly assigned to alternating treatments (CAPs and business as usual) that were administered sequentially to each group. Results revealed that students with and without disabilities made significant growth on CBMs and scored significantly higher on the posttests when taught using CAPs.

Using Multimedia Tools to Support Teacher Candidates’ Learning

Content Acquisition Podcasts (CAPs), created using Mayer’s Cognitive Theory of Multimedia Learning, are a form of instructional technology that can deliver critical course content and be used by teacher educators to conserve limited face-to-face instructional time. In this study, the authors investigate whether the sequence of instruction for CAP exposure (preview or review) paired with textbook reading affected knowledge gains on topics related to students with disabilities. They randomly assign preservice teacher candidates from two large public universities to one of three conditions: (a) CAP exposure preceding reading, (b) CAP exposure following reading, and (c) reading with graphic organizer/outline alone. A 40-item multiple-choice pre- and posttest measured participant knowledge of two topics: “Learning Disabilities” and “High-Functioning Autism.” Students in both CAP groups significantly outperformed students from the Text-Only group on both experiments, but order of CAP exposure did not result in significant differences in learning. The authors describe implications for teacher preparation programs regarding how to create and implement theoretically sound technology-based instructional materials, such as CAPs.

Using Content Acquisition Podcasts to Deliver Core Content to Preservice Teacher Candidates.

Teacher educators are always looking for instructional strategies that are easy to create and use but are powerful for promoting learning among preservice teacher candidates. Content acquisition podcasts (CAPs) is an example of an instructional strategy that embeds evidence-based instructional design principles to package and deliver critical content in courses such as introductory and foundational special education classes. In this column, a brief overview of current problems of practice that create a need for CAPs, a review research on the use of CAPs for preservice teacher education, and an overview of the processes used to create CAPs are provided.

A Research Synthesis of the Literature on Multimedia Anchored Instruction in Preservice Teacher Education

More than 20 years have passed since the Cognition and Technology Group at Vanderbilt University first conceptualized and began to explore how to effectively operationalize cognitive learning theory in applied instructional settings, innovatively infusing their model with emerging technologies. Yet, to date a comprehensive review of findings on the multimedia anchored instruction (MAI) model has not been conducted. This synthesis of the literature isolates a small segment of that literature: intervention studies in which MAI was implemented with preservice teachers to increase knowledge, support revisions of beliefs discordant with effective teaching practice, develop skills, and foster transfer. Findings revealed that MAI is an effective service delivery model for meeting these preservice teacher education goals.

Implementation of Evidence-Based Literacy Practices in Middle School Response to Intervention: An Observation Study.

The authors report findings from a systematic observational study of middle school educators (Grades 6–8) in two states who provided reading interventions within Tier 2 and Tier 3 of a Response to Intervention (RTI) framework. Intervention sessions were coded and analyzed to understand (a) the frequency and type of evidence-based strategies implemented for students with learning disabilities and reading difficulties, and (b) whether observed practices within secondary and tertiary intervention settings align with researcher recommendations regarding middle school reading instruction based on extant research. The findings indicated that more than 12% of time was devoted to logistical and non-academic activities, and evidence-based interventions including explicit instruction, cognitive strategy instruction, content enhancements, and independent practice opportunities were reported infrequently, although instructional differences across sites were demonstrated. Encouraging findings include evidence of peer-mediated reading and explicit performance feedback. Implications for teacher preparation, professional development, and future research for RTI are discussed.

Improving Preservice Teachers' Knowledge and Application of Functional Behavioral Assessments Using Multimedia

Functional behavioral assessment (FBA) is an empirically supported intervention associated with decreasing problem behavior and increasing appropriate behavior. To date, few studies have examined multimedia approaches to FBA training. This paper provides the outcomes of a randomized controlled trial across three university sites and evaluates whether preservice teachers can learn the core features of the FBA process through short multimedia vignettes compared to a traditional method (i.e., in-person lecture with PowerPoint). Based on our previous research, we hypothesized that the multimedia group (n = 97) would outperform the traditional method group (n = 102). Results indicated statistically significant differences in FBA knowledge favoring the students who participated in the multimedia condition, F(1, 198) = 9.61, p = .002, d = 0.45. Findings are discussed along with implications for practice and subsequent research.

Creating Multimedia-Based Vignettes with Embedded Evidence-Based Practices: A Tool for Supporting Struggling Learners

Most general education content area teachers teach classes that include students with disabilities. However, this can be a daily challenge, as most teachers in this group receive limited support for meeting the unique needs of those students in their respective disciplines. One tool used by many to help support learning for all students is multimedia-based instruction; however, the quality of available multimedia can be hit or miss, it can be difficult to find, and it is often a mismatch for student learning needs. In this study, an innovative multimedia-based intervention, Content Acquisition Podcasts (CAPs) are introduced and described in the context of teacher candidate capacity to create a sample video. CAPs contain a combination of evidence-based instructional design principles and practices for learning vocabulary terms and concepts. Forty masters degree students were taught to create CAPs, which were evaluated for adherence to established design principles and evidence-based instructional practices. Participants completed a satisfaction survey and participated in a focus group regarding their experience. Implications for practitioners and teacher educators are included and discussed.

An Overview of Principles for Special Educators to Guide Mathematics Instruction

Teaching mathematics to diverse learners can be a challenge. The extensive and specialized knowledge that special education teachers need to possess to be considered high-quality teachers is often lacking in preservice and inservice education, yet is mandated by current teacher reforms and rigorous measures of accountability. To provide direction for supporting teacher growth in these areas, this article highlights four knowledge bases that special education teachers should develop and expand upon as a way to improve their instruction for diverse learners in mathematics. Numerous resources and materials are provided to support the development of teacher expertise in content, characteristics of diverse learners, technology, and pedagogy.

Applying a Universal Design for Learning Framework to Mediate the Language Demands of Mathematics.

This article provides information about the relationship between mathematics, language, and literacy and describes the difficulties faced by students with disabilities with math content based on the language demands of mathematics. We conceptualize mathematics language as a mode of discourse for math learning that can be thought of as receptive (reading and listening) and expressive (speaking and writing). We present the principles of universal design as a means of creating curriculum that is more flexible and accessible for all learners. Thus, universal design for learning serves as a framework for examining the goals, methods, materials, and assessment of instruction to help educators identify potential barriers to learning and develop solutions to mitigate the language demands of mathematics for the wide range of diverse learners in todays classrooms.

Evaluating the Relationship Between Naturalistic Content Acquisition Podcast Views and Course Performance

Content Acquisition Podcasts for Teachers (CAP-T) are a form of multimedia-based instruction that are supported by an empirical record of effectiveness and are grounded in Mayer’s cognitive theory of multimedia learning and accompanying instructional design principles. In this study, 162 students enrolled in an introductory course in special education were assigned to watch CAP-Ts for a variety of topics throughout the semester. Students tracked their viewings per CAP-T and self-reported the number of views during the midterm and final examinations. Researchers included clusters of questions coded to each CAP-T on the exams. Linear regression was used to predict student performance on each cluster of questions based on the number of CAP-T viewings. Results show a positive, predictive relationship between CAP-T views and performance on midterm and final exam questions overall, but some unexpected findings emerged when looking at individual subcomponents of the assessments.