Using SRSD to Improve the Fraction Computations of Students With and At-Risk for EBD

被引：5
|
作者：
Losinski, Mickey [1 ]
Ennis, Robin Parks [2 ]
Shaw, Ashley [1 ]
机构：
[1] Kansas State Univ, 306 Bluemont Hall, Manhattan, KS 66506 USA
[2] Univ Alabama Birmingham, Birmingham, AL USA
来源：
BEHAVIORAL DISORDERS | 2021年 / 46卷 / 02期
关键词：
academic; age group; elementary; experimental design; instruction; interventions; math; replication; single-case; REGULATED STRATEGY-DEVELOPMENT; BEHAVIORAL-DISORDERS; SECONDARY STUDENTS; VISUAL INSPECTION; INTERVENTION; DISABILITIES; INSTRUCTION; MATHEMATICS; PROGRESS; MATH;
D O I：
10.1177/0198742920912737
中图分类号：
B849 [应用心理学];
学科分类号：
040203 ;
摘要：
This article provides results from a study examining the impact of a self-regulated strategy development (SRSD) intervention on the fraction calculations of three Grade 5 male students with or at-risk for emotional or behavioral disorders using a multiple-baseline across students, single-case design. The teacher-led SRSD Fractions intervention addressed adding and subtracting fractions with unlike denominators using the FILMS (Find the denominator, Identify the multiples, Locate the least common multiple, Multiply to make new fractions, Solve the problem) strategy. Results of fraction probes are reported along with a discussion of the study with respect to the research question posed, limitations, and future directions for research.
引用
收藏
页码：108 / 119
页数：12
相关论文
共 50 条
  • [21] Predicting At-Risk Students Using Weekly Activities and Assessments
    Jawthari, Moohanad
    Stoffa, Veronika
    International Journal of Emerging Technologies in Learning, 2022, 17 (19): : 59 - 73
  • [22] Supporting Early Adolescent Learning and Social Strengths: Promoting Productive Contexts for Students at-risk for EBD during the Transition to Middle School
    Farmer, Thomas W.
    Hamm, Jill V.
    Petrin, Robert A.
    Robertson, Dylan
    Murray, Robert A.
    Meece, Judith L.
    Brooks, Debbie Sprott
    EXCEPTIONALITY, 2010, 18 (02) : 94 - 106
  • [23] Using Longitudinal Student Mobility to Identify At-Risk Students
    Goldhaber, Dan
    Koedel, Cory
    Ozek, Umut
    Parsons, Eric
    AERA OPEN, 2022, 8
  • [24] Proceed With Caution: Using Web-Based Resources for Instructing Students With and at Risk for EBD
    Beahm, Lydia A.
    Cook, Bryan G.
    Cook, Lysandra
    BEYOND BEHAVIOR, 2019, 28 (01) : 13 - 20
  • [25] Use of Behavior Dynamics to Improve Early Detection of At-risk Students in Online Courses
    Huan Huang
    Shuai Yuan
    Tingting He
    Rui Hou
    Mobile Networks and Applications, 2022, 27 : 441 - 452
  • [26] Personalized Intervention based on the Early Prediction of At-risk Students to Improve Their Learning Performance
    Huang, Anna Y. Q.
    Chang, Jei Wei
    Yang, Albert C. M.
    Ogata, Hiroaki
    Li, Shun Ting
    Yen, Ruo Xuan
    Yang, Stephen J. H.
    EDUCATIONAL TECHNOLOGY & SOCIETY, 2023, 26 (04): : 69 - 89
  • [27] Use of Behavior Dynamics to Improve Early Detection of At-risk Students in Online Courses
    Huang, Huan
    Yuan, Shuai
    He, Tingting
    Hou, Rui
    MOBILE NETWORKS & APPLICATIONS, 2022, 27 (01): : 441 - 452
  • [28] A school intervention to increase prosocial behavior and improve academic performance of at-risk students
    Kilian, Janet M.
    Kilian, Denis W.
    IMPROVING SCHOOLS, 2011, 14 (01) : 65 - 83
  • [29] Data Augmentation with GAN to Improve the Prediction of At-Risk Students in a Virtual Learning Environment
    Volaric, Tomislav
    Ljubic, Hrvoje
    Dominkovic, Marija
    Martinovic, Goran
    Rozic, Robert
    ARTIFICIAL INTELLIGENCE IN EDUCATION. POSTERS AND LATE BREAKING RESULTS, WORKSHOPS AND TUTORIALS, INDUSTRY AND INNOVATION TRACKS, PRACTITIONERS, DOCTORAL CONSORTIUM AND BLUE SKY, AIED 2023, 2023, 1831 : 260 - 265
  • [30] AT-RISK STUDENTS CAUGHT IN A SYSTEM AT RISK
    PETROFF, M
    RESTRUCTURING THE TEACHING PROFESSION, 1991, : 224 - 231
12345