Integrating Language,Literacy, and Academic Development: Alternatives to Traditional English as a Second Language and Remedial English for Language Minority Students in Community Colleges

This article argues for the importance of integrating a focus on language, literacy, and academic development for United States-educated language minority (US-LM) students, sometimes called Generation 1.5. It describes four initiatives at community colleges in California that aim to do so. US-LM students have completed some K–12 schooling in the United States, but their English is considered by community college faculty, staff, or assessment measures to be inadequate for college-level instruction. Although enacting effective language and literacy support for Generation 1.5 has centered on debates about whether these students belong in English as a Second Language (ESL) or remedial English courses, how they can best be identified and tested, or whether they should be taught in separate classes, we argue that more fundamental shifts are needed. Instead of conceiving of students’ language and literacy development solely in terms of progress through ESL or remedial English sequences, educators designing support for US-LM students must also consider larger contexts of students’ academic progress, promoting students’ development of language and literacy for success in academic and professional settings as well as progress toward completing credits required for associate degrees, certificates, and transfer to four-year institutions.     

Fitting Nonlinear Latent Growth Curve Models With Individually Varying Time Points

Individual growth trajectories of psychological phenomena are often theorized to be nonlinear. Additionally, individuals’ measurement schedules might be unique. In a structural equation framework, latent growth curve model (LGM) applications typically have either (a) modeled nonlinearity assuming some degree of balance in measurement schedules, or (b) accommodated truly individually varying time points, assuming linear growth. This article describes how to fit 4 popular nonlinear LGMs (polynomial, shape-factor, piecewise, and structured latent curve) with truly individually varying time points, via a definition variable approach. The extension is straightforward for certain nonlinear LGMs (e.g., polynomial and structured latent curve) but in the case of shape-factor LGMs requires a reexpression of the model, and in the case of piecewise LGMs requires introduction of a general framework for imparting piecewise structure, along with tools for its automation. All 4 nonlinear LGMs with individually varying time scores are demonstrated using an empirical example on infant weight, and software syntax is provided. The discussion highlights some advantages of modeling nonlinear growth within structural equation versus multilevel frameworks, when time scores individually vary.     

Choice of Reading Comprehension Test Influences the Outcomes of Genetic Analyses

Vowel representations are particularly difficult for children to learn because most vowel phonemes can be spelled in several different ways. Children in Grades 1, 2, and 3 spelled nonwords with an ambiguous vowel and reported their spelling strategies. Analysis of the children's spellings and strategy reports revealed a shift in relying solely on phonological information to considering orthographic information for making vowel letter choices. Implications for vowel spelling development are discussed.     

Strengthening the Preparation of Early Childhood Teacher Candidates Through Performance-Based Assessments

Performance-based assessments require teacher candidates to demonstrate proficiency on specific teaching tasks and apply knowledge in authentic settings. This article describes the development and use of performance-based assessments (PBAs) for advancing the learning and evaluation of teacher candidates in an early childhood special education teacher preparation program. Teacher candidates completed PBAs under supervision during culminating practica experiences at three age levels (infant/toddler, preschool, and primary practicum). Methods for determining proficiency on national (Council for Exceptional Children) and state (Colorado teacher licensure) standards are described, along with the challenges and opportunities presented by the use of PBAs. Performance-based assessment data over a 5-year period indicate teacher candidate performance meeting and exceeding national standards and state licensure requirements.     

Performance in solving arithmetic problems: a comparison of children with different levels of achievement in mathematics and reading

The aim of the present study was to investigate the performance in arithmetic related to achievement levels in reading and mathematics. Basic arithmetical facts and multi‐step calculations were examined. The participants were 941 pupils aged 8 (N = 415), 10 (N = 274) and 13 (N = 252) years. The pupils were divided into four groups by standardized achievement tests. One group showed low achievement in both mathematics and reading (MLRL), a second group showed low achievement in mathematics only (ML‐only), a third group in reading only (RL‐only) and a fourth group showed normal achievement in both mathematics and reading (NA). The ML‐only and the MLRL groups did not differ significantly in basic arithmetical facts at any age level, but both groups performed below the RL‐only and NA groups. The two latter groups also performed similarly at all year levels. In multi‐step calculation all groups differed significantly at the lowest age level, with the NA as the group with the best achievement, followed by RL‐only, ML‐only and the MLRL group. At the two highest age levels the relations between the groups, in multi‐step calculation, were in accordance with the results regarding basic facts. The findings indicate, for both normal and low general mathematical ability, that low achievement in reading to a small extent interferes with the pupils’ development of arithmetic performance     

Changing the English Classroom: When Large-scale ‘Common’ Testing Meets Secondary Curriculum and Instruction in the United States

This article explores the intersection of new, large-scale standards-based testing, teacher accountability policy, and secondary curriculum and instruction in the United States. Two federally funded consortia – the Smarter Balanced Assessment Consortium and the Partnership for Readiness of College and Careers – prove focal to this paper, as these two organisations are creating new tests that will assess 42–49% of the K–12 student population in the United States in 2014–2015. Because greater teacher accountability for student performance will be given for these tests, there is more reason to pay attention to what these tests measure and what they do not. Our analysis suggests that these new tests will hold secondary English teachers accountable for literacy and disciplinary knowledge outside the field of English and thus raise important questions about what English teachers should, can and will do, especially when their jobs are on the line.     

Enhancing the Executive Functions of 3‐Year‐Olds in the Dimensional Change Card Sort Task

Executive functions enable flexible thinking, something young children are notoriously bad at. For instance, in the dimensional change card sort (DCCS) task, 3‐year‐olds can sort cards by one dimension (shape), but continue to sort by this dimension when asked to switch (to color). This study tests a prediction of a dynamic neural field model that prior experience with the postswitch dimension can enhance 3‐year‐olds' performance in the DCCS. In Experiment 1A, a matching game was used to preexpose 3‐year‐olds (n = 36) to color. This facilitated switching from sorting by shape to color. In 3 , 3‐year‐olds (n = 18) were preexposed to shape. This did not facilitate switching from sorting by color to shape. The model was used to explain this asymmetry.     

The Grass Isn’t Always Greener: Perceptions of and Performance on Open-Note Exams

Undergraduate biology education is often viewed as being focused on memorization rather than development of students’ critical-thinking abilities. We speculated that open-note testing would be an easily implemented change that would emphasize higher-order thinking. As open-note testing is not commonly used in the biological sciences and the literature on its effects in biology education is sparse, we performed a comprehensive analysis of this intervention on a primary literature–based exam across three large-enrollment laboratory courses. Although students believed open-note testing would impact exam scores, we found no effect on performance, either overall or on questions of nearly all Bloom’s levels. Open-note testing also produced no advantage when examined under a variety of parameters, including research experience, grade point average, course grade, prior exposure to primary literature–focused laboratory courses, or gender. Interestingly, we did observe small differences in open- and closed-note exam performance and perception for students who experienced open-note exams for an entire quarter. This implies that student preparation or in-test behavior can be altered by exposure to open-note testing conditions in a single course and that ­increased experience may be necessary to truly understand the impact of this intervention.     

The determinants of progress to the doctoral degree

The time doctoral students expect to take to complete their degree is investigated in a model which stresses the effects of economic factors. The model also accounts for the interdependency among such variables as employment hours, study hours, household income, and part-time study. We find that field of study, amount of borrowing, household income, and study hours have direct effects on expected time to degree. Indirect effects also occur from employment hours and the amount of fellowship, scholarship, or grant aid. When the sample is separated into foreign and U.S. students, we find that U.S. students underestimate their time to degree. Also, household incomes are higher for U.S. students and increase the time to degree, while the opposite is true for foreign students. Teaching assistantships increase the time to degree for foreign students while research assistantships reduce it.