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Record W899037505

Preparing Teachers for Assessment within Diverse Classrooms: An Analysis of Teacher Candidates' Conceptualizations.

2014· article· en· W899037505 on OpenAlexaboutno aff
Christopher DeLuca, Chi Yan Lam

Bibliographic record

VenueTeacher education quarterly (Claremont, Calif.) · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicTeacher Education and Leadership Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyBlueprintLearning standardsLegislationDiversity (politics)Mathematics educationPedagogyCurriculumInclusion (mineral)SociologyPolitical scienceSocial psychology
DOInot available

Abstract

fetched live from OpenAlex

Under the current standards-based framework of public education in the US, and in other parts of the world, teachers are required to purposefully use assessments to individualize instruction for students with diverse learning needs (Darling-Hammond & Bransford, 2005; Ryan & Feller, 2009). This standards-based framework was initiated through the No Child Left Behind legislation (NCLB, 2002) and more recently reinscribed through the Blueprint for Reform act (USDOE, 2010). Underlying these public policies is the belief that every student can achieve state educational standards when provided with sufficient instructional support and, if necessary, provisions for accommodation. Teachers are currently expected to use data from student assessments, both classroom-based and large-scale, to inform instruction for diverse students. Across these policy directives, diversity is primarily understood as differences in student ability (i.e., disability or giftedness), culture and race, and English language proficiency as well as considerations of other student characteristics including learning styles, gender, socio-economic status, sexual orientation, religious affiliation, body image, and interests. For many school districts, data-informed instruction has been enacted, in part, through a Response to Intervention (RTI) approach that emphasizes tracking of learner progress in relation to tiered interventions of instructional supports and learning environments for students working below grade level standards (Barnes & Wade-Woolley, 2007; Batsche et al., 2007). Inclusive, standards-based mandates and RTI is also a prevalent component of other educational systems including those in UK, Canada, Australia, and New Zealand (Armstrong & Cheryl, 2011; Hutchinson, 2009; Miles & Singal, 2010). Underpinning teacher effectiveness within a standards-based framework and, more specifically within a RTI approach, is teachers' ability to integrate knowledge of both educational assessment and student diversity as related to cognitive development, learning abilities, and students' social and behavioral backgrounds. Not only are teachers expected to assess student learning to satisfy accountability concerns, but they are also expected to engage in both summative and formative assessment practices to gather ongoing information about learner progress in relation to students' individual learning profiles. Accordingly, effective preparation of teachers for an inclusive, standards-based context of education must not only prepare teacher candidates with competence in the areas of student assessment and student diversity, but more importantly, in the intersection of these two aspects of teaching. However, to date, the majority of research on pre-service and early-career teachers has addressed these competencies in isolation (Cochran-Smith, Davis, & Fries, 2003; Crocker & Dibbon, 2008; Hollins & Guzman, 2005). This bifurcation in research is not surprising as teacher candidates typically learn about topics in assessment and student diversity within separate pre-service courses, that is, under a discrete course delivery model (Crocker & Dibbon, 2008; DeLuca, 2012a, 2012b; DeLuca & Klinger, 2010). Aside from their teaching placements, which are highly variable learning contexts (Darling-Hammond, 2006), there are few opportunities for teacher candidates to consolidate knowledge from these two areas, both theoretically and practically, making it difficult for teacher candidates to integrate these competencies in their teaching practice. As a basis for an integrated approach to preservice education, the purpose of this research was to begin to explore beginning teachers' conceptions on the linkages between student assessment and teaching within diversity classrooms upon completion of their preservice program. This research contributes to continued calls for enhancing the preparation of teachers in the areas of assessment and diversity (Ball & Tyson, 2011; Popham, 2004, 2011; Shepard, Hammerness, Darling-Hammond, & Rust, 2005; Zeichner & Conklin, 2008). …

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.130
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.072
GPT teacher head0.409
Teacher spread0.336 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations20
Published2014
Admission routes1
Has abstractyes

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Same venueTeacher education quarterly (Claremont, Calif.)Same topicTeacher Education and Leadership StudiesFrench-language works237,207