No description available.

With the passing of the No Child Left Behind legislation (2001), individual states have been required to administer standardized tests to measure students’ academic achievement in several academic areas, including reading comprehension. Many schools are using curriculum embedded reading comprehension tests to assess students’ progress in achieving grade level expectations before the administration of state standardized test. This study used de-identified student data on curriculum embedded reading comprehension tests and the state standardized reading test, FCAT 2.0 to assess the correlation between a specific curriculum-based measure and the FCAT 2.0. The researcher used Pearson and Spearman Correlation to assess the predictive relationship of the curriculum-embedded reading tests and FCAT 2.0 reading. Strong correlations were found between the two assessments which educators may find useful when planning and differentiating reading comprehension instruction throughout the school year.

The present study aimed to establish a test development and validation framework of reading-into-writing tests to improve the accountability of using the integrated task type to assess test takers' ability in Academic English. This study applied Weir's (2005) socio-cognitive framework to collect three components of test validity: context validity, cognitive validity and criterion-related validity of two common types of reading-into-writing test tasks (essay task with multiple verbal inputs and essay task with multiple verbal and non-verbal inputs). Through literature review and a series of pilot, a set of contextual and cognitive parameters that are useful to explicitly describe the features of the target academic writing tasks and the cognitive processes required to complete these tasks successfully was defined at the pilot phase of this study. A mixed-method approach was used in the main study to establish the context, cognitive and criterion-related validity of the reading-into-writing test tasks. First of all, for context validity, expert judgement and automated textual analysis were applied to examine the degree of correspondence of the contextual features (overall task setting and input text features) of the reading-into-writing test tasks to those of the target academic writing tasks. For cognitive validity, a cognitive process questionnaire was developed to assist participants to report the processes they employed on the two reading-into-writing test tasks and two real-life academic tasks. A total of 443 questionnaires from 219 participants were collected. The analysis of the cognitive validity included three stands: 1) the cognitive processes involved in real-life academic writing, 2) the extent to which these processes are elicited by the reading-into-writing test tasks, and 3) the underlying structure of the processes elicited by the reading-into-writing test tasks. A range of descriptive, inferential and factor analyses were performed on the questionnaire data. The participants' scores on these real-life academic and reading-into-writing test tasks were collected for correlational analyses to investigate the criterion-related validity of the test tasks. The findings of the study support the context, cognitive and criterion-related validity of the integrated reading-into-writing task type. In terms of context validity, the two reading-into-writing tasks largely resembled the overall task setting, the input text features and the linguistic complexity of the input texts of the real-life tasks in a number of important ways. Regarding cognitive validity, the results revealed 11 cognitive processes involved in 5 phases of real-life academic writing as well as the extent to which these processes were elicited by the test tasks. Both reading-into-writing test tasks were able to elicit from high-achieving and low-achieving participants most of these cognitive processes to a similar extent as the participants employed the processes on the real-life tasks. The medium-achieving participants tended to employ these processes more on the real-life tasks than on the test tasks. The results of explanatory factor analysis showed that both test tasks were largely able to elicit from the participants the same underlying cognitive processes as the real-life tasks did. Lastly, for criterion-related validity, the correlations between the two reading-into-writing test scores and academic performance reported in this study are apparently better than most previously reported figures in the literature. To the best of the researcher's knowledge, this study is the first study to validate two types of reading-into-writing test tasks in terms of three validity components. The results of the study proved with empirical evidence that reading-into-writing tests can successfully operationalise the appropriate contextual features of academic writing tasks and the cognitive processes required in real-life academic writing under test conditions, and the reading-into-writing test scores demonstrated a promising correlation to the target academic performance. The results have important implications for university admissions officers and other stakeholders; in particular they demonstrate that the integrated reading-into-writing task type is a valid option when considering language teaching and testing for academic purposes. The study also puts forward a test framework with explicit contextual and cognitive parameters for language teachers, test developers and future researchers who intend to develop valid reading-into-writing test tasks for assessing academic writing ability and to conduct validity studies in such integrated task type.

The use of technology in assisting educators to use student data in well-devised ways to enhance the instruction received by students is gaining headway and the support of federal dollars across the nation. Since research has not provided insight as to whether or not reading coaches are using data technology tools with teachers, this mixed methods study sought to examine what behavioral intentions reading coaches have in using data technology tools with teachers, what variables may influence their behavioral intentions, and what trends may emerge in their views about using technology data tools with teachers. A mixed methods approach was deployed via a survey embedded in an email, and data from 61 Florida reading coaches from elementary, middle, and high schools in a large urban school district were examined using an adaptation of the Technology Acceptance Model (TAM). The results showed that collectively all reading coaches have a high level of behavioral intentions towards using a data technology tool with teachers. The study also showed that elementary, middle, and high school reading coaches vary in their degree of behavioral intentions in using a data technology tool based on different variables. Trends in data showed that reading coaches think data technology tools are helpful, but that trainings are needed and that technology tools should be user-friendly. Discussion is provided regarding the implications of the study results for all stakeholders.