يعرض 1 - 10 نتائج من 997,659 نتيجة بحث عن '"Cohen A. A."', وقت الاستعلام: 0.82s تنقيح النتائج
  1. 1
    تقرير

    المصدر: National Student Clearinghouse. 2024.

    تمت مراجعته من قبل الزملاء: N

    Page Count: 18

    Sponsoring Agency: Lumina Foundation

    مستخلص: The fall 2023 and spring 2024 undergraduate enrollment increases, marking the first growth since the COVID-19 pandemic, show signs of a post-pandemic turnaround for higher education. However, a significant share of current undergraduates will eventually disengage from college before earning a degree or other credential. They will join tens of millions of other adult Americans who are Some College, No Credential (SCNC). The SCNC population has been consistently rising over time. Re-engaging those who stop out remains a persistent challenge and a priority for the forty states that have set ambitious postsecondary attainment goals. This report aims to provide timely insights into the SCNC population, offering state leaders and policymakers accurate data on its current status, along with tracking progress and outcome measures for SCNC students. The first section of this report describes who makes up the SCNC population and how it has changed since the last report. In this section, the authors pay particular attention to Recent Stopouts, who joined the SCNC population after being stopped out between January 2021 and July 2022. In the second section, the authors report on SCNC re-enrollment in the 2022-23 academic year as well as first-year credential earning for re-enrollees. The authors also provide new updates on continued enrollment and second-year credential earning for SCNC re-enrollees in the 2021-22 academic year, whom were first reported on last year.

    Abstractor: ERIC

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    دورية أكاديمية
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    دورية أكاديمية
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    دورية أكاديمية
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    دورية أكاديمية
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    دورية أكاديمية
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    دورية أكاديمية
  8. 8
    تقرير

    المصدر: Annenberg Institute for School Reform at Brown University. 2024.

    تمت مراجعته من قبل الزملاء: N

    Page Count: 16

    Sponsoring Agency: National Science Foundation (NSF)

    مستخلص: Assessing instruction quality is a fundamental component of any improvement efforts in the education system. However, traditional manual assessments are expensive, subjective, and heavily dependent on observers' expertise and idiosyncratic factors, preventing teachers from getting timely and frequent feedback. Different from prior research that focuses on low-inference instructional practices, this paper presents the first study that leverages Natural Language Processing (NLP) techniques to assess multiple high-inference instructional practices in two distinct educational settings: in-person K-12 classrooms and simulated performance tasks for pre-service teachers. This is also the first study that applies NLP to measure a teaching practice that has been demonstrated to be particularly effective for students with special needs. We confront two challenges inherent in NLP-based instructional analysis, including noisy and long input data and highly skewed distributions of human ratings. Our results suggest that pretrained Language Models (PLMs) demonstrate performances comparable to the agreement level of human raters for variables that are more discrete and require lower inference, but their efficacy diminishes with more complex teaching practices. Interestingly, using only teachers' utterances as input yields strong results for student-centered variables, alleviating common concerns over the difficulty of collecting and transcribing high-quality student speech data in in-person teaching settings. Our findings highlight both the potential and the limitations of current NLP techniques in the education domain, opening avenues for further exploration.

    Abstractor: As Provided

  9. 9
    مورد إلكتروني

    المصدر: National Center for Education Statistics. 2024.

    تمت مراجعته من قبل الزملاء: Y

    Page Count: 47

    مستخلص: This First Look report provides selected findings from the High School Longitudinal Study of 2009 (HSLS:09) Postsecondary Education Administrative Records Collection (PEAR). HSLS:09 follows a nationally representative sample of students who were ninth-graders in fall 2009 from high school into postsecondary education and the workforce. The PEAR data collection was conducted in 2021, approximately 8 years after high school graduation for most of the cohort. These data provide information on whether fall 2009 ninth-graders enrolled in postsecondary education by June 2021, and allow researchers to examine enrollment characteristics, degree completion, and financial aid awards for the subset of fall 2009 ninth-graders who enrolled in postsecondary education.

    Abstractor: As Provided

    IES Funded: Yes

  10. 10
    تقرير

    المصدر: Aurora Institute. 2024.

    تمت مراجعته من قبل الزملاء: N

    Page Count: 20

    Sponsoring Agency: Department of Education (ED)

    مصطلحات جغرافية: Rhode Island

    مستخلص: Despite calls to modernize education preparation, the way we train, support, and grow educators has remained largely unchanged for decades. But some educator training and professional development organizations are taking a different approach by offering educators flexible and job-embedded learning opportunities that recognize and validate learning through demonstrations of competence. Educators earn "micro-credentials" in the form of digital badges, which capture both the skill the educator demonstrated and the evidence they used to prove their mastery of that skill. This case study offers a look at one micro-credential program, developed by UCLA's ExcEL Leadership Academy that has been approved for ESOL teacher certification in Rhode Island. The program offers a progression of 12 micro-credentials focused on the skills and competencies educators need to serve multilingual learners (MLLs) effectively. Additionally, the case study offers recommendations for other states that hope to offer their educators high-quality competency-based pathways to certification and/or professional growth.

    Abstractor: As Provided