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Eric.ed.gov – From 1 to Z: Integrating Math and Language Learning.

eric.ed.gov har udgivet: Techniques for integrating English-as-a-Second-Language (ESL) instruction and mathematics instruction, particularly the language of mathematics, are discussed. Focus here is on mathematics instruction for limited-English-speaking students in the mainstream classroom. First, examples of the academic language of mathematics that students must develop are outlined. Some instructional techniques that incorporate students’ own language and background in the construction of mathematics concepts and formal mathematics register are then offered. These include: techniques to make mathematics lessons more comprehensible and ways to promote interaction and provide a classroom environment conducive to language and literacy acquisition; methods for maintaining high expectations for language minority students and helping them develop higher-order cognitive and metacognitive skills and strategies; and assessment of language development alongside conceptual knowledge. A concluding discussion looks at the roles of… Continue Reading

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Eric.ed.gov – Training in Influencing Skills from Neuro-Linguistic Programming (Modelled from Hypnosis and Family Therapy), in Combination with Innovative Maths Pedagogy, Raises Maths Attainment in Adult Numeracy Learners

eric.ed.gov har udgivet: Case study research suggests that NLP [neuro-linguistic programming] influencing strategies benefit teacher effectiveness. Maths pedagogy involving higher-order questioning, challenge, problem solving and collaborative working may be a way of improving attainment in adult numeracy learning, however, such strategies may be less effective if the relationship between teacher and learner does not reflect sensitivity to attitudes, beliefs and emotions (areas in which advocates of NLP claim effectiveness). The present study investigated these claims and the combined effect of such approaches using a pre- and post-treatment test design with 173 adult numeracy learners. Teachers were randomly allocated to three conditions, these were: (1) teachers given no training (control condition); (2) teachers trained in innovative maths pedagogy (including more frequent higher-order questioning, challenge, problem solving and collaborative learning); and (3)… Continue Reading