7 research outputs found
μν νμ΅μ₯μ μν μλμ μν λ₯λ ₯ λ°λ¬ νΉμ±μ κ΄ν μ°κ΅¬: μν λ¬Έμ₯μ ν΄κ²° λ₯λ ₯κ³Ό μΈμ§ λ³μΈ κ°μ κ΄κ³λ₯Ό μ€μ¬μΌλ‘
νμλ
Όλ¬Έ (λ°μ¬)-- μμΈλνκ΅ λνμ : νλκ³Όμ νΉμκ΅μ‘μ 곡, 2013. 2. κΉλμΌ.Although many students show proficiency on assessments of general mathematics skills, many of them experience difficulties in solving word problems in mathematics. This may be attributed to a lack of the required skills necessary for the solution of these word problems. In order for students to be able to solve these problems, they first have to be able to read and understand the problem. Next, they must have the ability to translate the texts of the problem described in natural language into arithmetic operations expressed in mathematical language. Finally, they should be able to compute the equations without any error and to check that their calculations and computations are correct. In other words, word problem solving in mathematics requires the integration of computation and application knowledge with basic reading skills in terms of language comprehension.
Students with certain learning disabilities are especially less successful in word problem solving in mathematics compared to other students without learning disabilities. The former group has difficulty understanding word problems because of the fact that they lack the basic reading and computation skills, coupled usually with the condition of diminished working memory. Specifically, they are not capable of representing the relationship in the problem to some comprehensible form which can lead them to solve the problem mathematically. Moreover, students with learning disabilities use even more inefficient strategies for problem solving than typically achieving students.
The notion of learning disabilities has traditionally indicated unexpected underachievement due to a disorder in one or more of the basic psychological process or processes. This notion has been ratified within an intrinsic processing deficits model and has been used as an indicator for identifying learning disabilities. This model attempts to evaluate psychological process or capacity weakness directly, because these two variables form the basis on which learning problems are determined. Although the intrinsic processing deficits model provides the primary criterion for identifying learning disabilities, and although it is a direct approach to characterize and measure learning disabilities as opposed to the indirect methods using exclusionary clauses, it has not been a mandatory requirement for identification of learning disabilities in South Korea. That is not only because theoretical and empirical support for the notion of psychological process deficits and its influence on learning is still vague, but also because there is no agreement as to how to accurately measure cognitive ability This renders results acquired through this test invalid at best.
This research attempts to explore in a defined heterogeneous population whether students difficulties in learning mathematics is based on their growth patterns and/or cognitive abilities. The research attempts this by, first of all, exploring the possibility that students' growth trajectories might be a determinant of the mathematical learning problem as it pertains to solving word problems. . Then, the cognitive predictors of group membership are identified and the similarities and differences in the cognitive characteristics by subtypes among students with mathematical difficulties are determined. For these purposes, the following research questions were established: 1) Are there any identifiable groups within the given population whose mathematical word problem solving ability show correlation with those students growth patterns (intercept and slope) 2) Given that there are multiple growth patterns, what are the effects of students' cognitive abilities on their growth patterns in terms of word problem solving in mathematics? 3) Do cognitive abilities differ among students with mathematical difficulties identified by their growth patterns, depending on whether there is an accompanying problem in computation, in reading, in both computation and in reading, or in neither computation or reading? The implications in conjunction with the interventions, as well as some of the limitations of the study, are discussed at the end of this study.
Research Question 1 was used to examine identifiable subgroups based on growth patterns of word problem solving in mathematics. In order to explore the heterogeneity in growth trajectories of students repeatedly measured data, latent class growth analysis (LCGA) was conducted. As a result of LCGA, four distinct classes emerged based on characteristics of growth patterns (i.e. performance levels and growth rates). Class 1 (15.2%) was characterized as high intercept and slow progress. Class 2 (25.6%) was characterized as average intercept and fast progress. Class 3 (43.1%) was characterized as low intercept and slow progress. Class 4 (16.1%) was characterized as lowest intercept and little progress. The four groups classified by exploratory methods were labeled as high achieving students (HAS), average and fast growing students (AFG), low but steadily growing students (LSG), and students with mathematics difficulties (SDD) respectively.
Research Question 2 was used to examine the relationship between growth patterns of word problem solving and cognitive abilities in mathematics. To investigate this relationship between students' learning progress in word problem solving and their cognitive abilities, a growth mixture modeling approach was used. In the case of setting up a HAS group as a reference, the lower the students' working memory ability is, the higher the possibility for students to be categorized into an AFG group (odds ratio=0.570) and a LSG group (0.582). Also, when the values of a processing speed and a language decrease (odds ratio=0.344 and 0.477, respectively), the probability of being in a SDD group increases. If the AFG group is set up as a reference, the lower the students' processing speed (odds ratio=0.664), the higher the possibility for students to be classified into a LSG group. The estimates of the multinomial logistic regression show that the probability of being in a SDD group increases as the values of a processing speed and a language decreasing (odds ratio=0.340 and 0.540, respectively). When a LSG group is the reference group, having lower processing speed (odds ratio=0.513) and language (odds ratio=0.640) increased the estimated odds of being a SDD group student compared to other groups. When a SDD group is set up as a reference, when the values of a processing speed (odds ratio=1.950) and a language (odds ratio=1.562) increase, the probability that students belong to a LSG group increases. Attention and nonverbal reasoning are not related to group contrasts.
In research Question 3, the different growth patterns and cognitive abilities among subtypes of students with difficulties in word problem solving were explored. Based on the hypothesis that students would have different cognitive characteristics depending on whether they have difficulties in computation, in reading, in both computation and reading, or in neither computation nor reading, multivariate analysis of variance (MANOVA) was used to explore their differences on cognitive abilities. For group formation, 25th percentile and 40th percentile were selected as cutoffs and four subgroups were identified by difficulty status β word problem solving difficulty (PD), computational difficulty with word problem solving difficulty (CPD), reading difficulty with word problem solving difficulty (RPD), computational and reading difficulty with word problem solving difficulty (CRPD). Observed mean trajectories revealed CPD, RPD, and CRPD showed significantly lower growth levels compared to PD. CRPD showed the lowest growth levels among the four groups. Significant differences between PD and RPD were found in working memory, processing speed, language, and nonverbal reasoning. Working memory, processing speed, and language between PD and CRPD, and working memory and language between CPD and RPD/CRPD were significantly different. No difference in attention was found in any contrast. In neither PD versus CPD, nor RPD versus CRPD, were cognitive profile differences found.I. INTRODUCTION 1
1.Statements of Purpose 1
2.Research Questions 14
3.Definition of Terminology 15
II. LITERATURE REVIEW 18
1.Cognitive abilities related to mathematics learning and mathematics learning disabilties 18
2.Cognitive abilities involved in word problem solving 26
3.Prospective approach to identification of learning disabilties: The intrinsic processing deficit model 32
III. METHODOLOGY 36
1.Subjects 36
2.Measures 39
3.Procedure 47
4.Data Analysis 50
IV. RESULTS 60
1.Descriptive Statistics 60
2.Preliminary anlayses: Normality test and analysis of overall growth pattern of word problem solving skills 62
3.Research question 1: Identifiable subgroups based on growth patterns 65
4.Research question 2: Relationship between growth patterns and cognitive abilities 75
5.Research question 3: Cognitive characteristics of students with difficulties in word problem solving 83
V. DISCUSSION 94
1. General Discussion 96
2. Limitations 108
VI. REFERENCES 111
κ΅ λ¬Έ μ μ½ 142Docto
Measuring Number Sense for Early Identification of Learning Disabilities in Math: A Review of Literature
μννμ΅μμμ μ¬κ°ν λ¬Έμ λ₯Ό μλ°©νκΈ° μν΄μ μννμ΅μ₯μ μνμλμ μ‘°κΈ° νλ³νμ¬ μ μ ν μ‘°κΈ° μ€μ¬λ₯Ό μ 곡νκ³ νμ±νκ°λ₯Ό ν΅ν΄ μ§μ λλ₯Ό λͺ¨λν°λ§ νλ κ²μ΄ νμνλ€. μ΅κ·Ό μννμ΅μ₯μ μ‘°κΈ° νλ³ κ΄λ ¨ μ°κ΅¬μμλ μκ°κ°μ μ£Όμν λ³μΈμΌλ‘ λ€λ£¨κ³ μλ€. μ΄λ μκ°κ°μ΄ μννμ΅μ₯μ μνμλμ μ λ³ν μ μλ κΈ°μ€μΌλ‘ μ¬μ©λ μ μλ€λ μ¬λ¬ μ°κ΅¬ κ²°κ³Όμ κΈ°μ΄ν κ²μ΄λ©°, μ΄λ₯Ό λ°νμΌλ‘ μκ°κ°μ κΈ°λ°μΌλ‘ νλ λ€μν κ²μ¬κ° κ°λ°λμλ€. μκ°κ°μ μ μμ λν΄μλ μ°κ΅¬μλ€λ§λ€ μκ²¬μ΄ λ€λ₯΄μ§λ§, μκ°κ°μ΄ 무μμ΄κ³ μ΄λ€ νΉμ±μ΄ μκ°κ°μ μ΄λ£¨κ³ μλμ§μ λν΄μλ μ μ°¨ μ견μ μΌμΉλ₯Ό μ΄λ£¨κ³ μλ€. μ΄μ λ³Έ μ°κ΅¬μμλ μ ν μ°κ΅¬μμ μ μλ μκ°κ°μ μ μ λ° νΉμ§μ μ΄ν΄λ³΄κ³ , μ΄λ₯Ό λ°νμΌλ‘ κ°λ°λ μ¬λ¬ κ°μ§ μκ°κ° κ²μ¬λ€μ λΆμνμ¬ μ°λ¦¬λλΌ κ΅μ‘ νμ₯μμ μ μ©νκ² μ¬μ©λ μ μλ μκ°κ° κ²μ¬μ κ°λ° νμμ± λ° νμ© λ°©μμ λν΄ νμν΄ λ³΄κ³ μ νλ€.
Although the ability of mathematics has been emphasized during the last two decades, a number of children still struggle with math problems in school. Since the math ability develops hierarchically, early identification of at risk children is important to prevent severe failure later on. For early identification of at risk children in mathematics, we need to examine informal knowledge, such as early numeracy. These early numeracy skills are often represented as number sense. Many researchers reveal that the outcome of informal early mathematics instruction is number sense. Although there are some disagreements among researchers about the conceptual definition of number sense, number sense is understood as skills that provide a foundation for the acquisition of later mathematical abilities, and are resulted from experiences acquired prior to school entry. Thus, there are some measurements of number sense, but still these instruments have problems of administrating to children and identifying at risk children with learning difficulties. In present study, we reviewed literatures for investigating what the number sense is and which tests are developed and used for children. Throughout literature reviews, we revealed what characteristics of the measurement are for identifying at risk children with learning difficulties in math. These characteristics could be a foundation of developing test for early identification and intervention in Korea. Key words: Mathematics, Learning Disabilities, Early Identification, Measurement, Number Sens
Comorbidity of Attention-Deficit/Hyperactivity Disorder(ADHD) and Learning Disabilities(LD): The Present and The Future
λ
Όλ¬Έ μμ½λ³Έ μ°κ΅¬λ κ΅μ‘νμ₯μμ κ΄μ¬μ΄ μ¦λλκ³ μλ μ£Όμλ ₯κ²°νκ³Όμνλμ₯μ (ADHD)μ νμ΅μ₯μ μ 곡쑴μ₯μ μ κ΄ν μ°κ΅¬κ° μ΄λ»κ² μ§νλμ΄ μ€κ³ μλμ§λ₯Ό μ΄ν΄λ³΄κ³ μ νμλ€. λ¨Όμ , ADHD/νμ΅μ₯μ 곡쑴μ₯μ μ νΉμ±, μν, μμΈμ λν΄ μ΄ν΄λ³΄μκ³ , 곡쑴μ₯μ μ§λ¨μ ADHDλ νμ΅μ₯μ λ¨λ
μ§λ¨κ³Ό ꡬλΆνμ¬ νλ³ν΄μΌν νμμ±μ λ
Όμνμλ€. λ€μμΌλ‘, ADHDμ νμ΅μ₯μ λ° ADHD/νμ΅μ₯μ 곡쑴μ₯μ νκ° λ° νλ³μ²΄κ³μ λ¬Έμ μ μ λ
Όμνμκ³ , 곡쑴μ₯μ μ§λ¨μ μΌμ°¨μ μΌλ‘ νλ³νκ³ μ΄λ€μ μ΄λ €μμ 근거리μμ μ€μ¬ν μ μλ μΌμ°¨μ μΈ νμ₯μΈ κ³΅κ΅μ‘ νμ₯μμ ADHD/νμ΅μ₯μ 곡쑴μ₯μ νκ° λ° νλ³μ ν΅ν μ°κ΅¬κ° μ΄λ£¨μ΄μ§μ§ μκ³ μλ€λ λ¬Έμ μ μ μ κΈ°νμλ€. μ΄ν 곡κ΅μ‘νμ₯μμ νμ©λ μ μλλ‘ ADHD/νμ΅μ₯μ 곡쑴μ₯μ μ λν λ€λ©΄μ μΈ νκ°μ²΄κ³μ λν νμμ±μ μ κΈ°νμμΌλ©°, λ§μ§λ§μΌλ‘ μ€μ¬, νλ³ λ° μ§λ¨, μ°κ΅¬λ°©λ² λ± νμ μ°κ΅¬μ λν μμ¬μ μ λ
Όμνμλ€.
This study attempts to grasp the progress of the rising topic in a public school setting, the comorbidity of Attention-Deficit/Hyperactivity Disorder(ADHD) and Learning Disabilities(LD). First, we examined the characteristics, prognosis and cause of comorbidity of ADHD/LD, then we discussed the need that the comorbidity group should be identified with ADHD or Learning Disability in separate group. Afterwards, we debated about the problems of assessment and identification system on ADHD, Learning Disabilities and comorbidity of ADHD/LD, specifically focusing on lack of researches in regard to assessment and identification of comorbidity of ADHD/LD in a public school setting where is the very first place to identify the group of comorbidity of ADHD/LD and to mediate the students suffering from ADHD and learning disabilities in comorbidity group together. Finally, we suggested need for the multimodal assessment system of comorbidity of ADHD/LD that can be used in a public school setting, and then the future directions for following research concerning the diagnosis, identification, intervention and methods for research are suggested.The work was supported by the Korea Science and Engineering Foundation (KOSEF) grant funded by the Korea government (MEST) (No. R01-2008-000-20528-0
The Exploratory Study for Screening and Identification Processes of Learning Disabilities at Special Education Support Center: Focused on Current Condition and Improvement Method
μ΅κ·Ό νμ΅μ₯μ μ μ 쑰건 λ° μ μ°¨(κ΅μ‘κ³ΌνκΈ°μ λΆ νΉμκ΅μ‘μ§μκ³Ό-2677)κ° 2010λ
5μμ κ°κΈ νκ΅λ‘ μ λ¬λ κ²μ μ°λ¦¬λλΌμμλ νμ΅μ₯μ λ₯Ό μ λ³, μ§λ¨ν¨μ μμ΄ RTIκ° λμ
λ¨μ μλ―Ένλ μ€μ νμ₯μμ RTI λͺ¨λΈ μ΄ μ μ©κ°λ₯νκ°μ λν λ§μ μλ¬Έμ μ΄ μ κΈ°λκ³ μλ€. λ³Έ μ°κ΅¬μμλ 11κ° μ§μ κ΅μ‘μ² νΉμκ΅μ‘μ§μμΌν°λ₯Ό λμμΌλ‘ ν μ€λ¬Έ μ‘°μ¬λ₯Ό ν΅ν΄, 2010λ
μ΄νλ‘ ν μ§μΉ¨μ μννλ λ° μμ΄ μ΄λ €μκ³Ό κ°μ μ μ νμ
νμλ€. 1λ¨ κ³μμλ μ€μ¬λ°μ νκ°κ²°κ³Ό λ° μ¦λΉμλ£μ μ λ’°μ± λ¬Έμ , μμ§λ¨ κ΅μ λΆλͺ
νμ±, νμ΅μ₯μ μνμλ μμμλ’°κ³Ό μ νμμ±, νΉμκ΅μ¬μ μΌλ°κ΅μ¬μ νλ ₯ λ¬Έμ , 2λ¨κ³μμλ νμ λ μ§λ¨κ²μ¬λꡬ, μΌμ νκ΅μ νΉμκ΅μ‘μ§μμΌν° κ° νλ ₯체κ³, νΉμκ΅μ‘μ΄μμμνμ μν κ·λͺ
λ¬Έμ κ° μ κΈ°λμλ€. μ΄λ₯Ό μν΄ μΆ©λΆν κ΅μ¬ λ° μ λ¬Έκ° κ΅μ‘, ν¨κ³Ό μ μΈ μ¦κ±°κΈ°λ° μ€μ¬ νλ‘κ·Έλ¨μ κ°λ° λ° μ 곡, μΌμ νκ΅ κ΅μ¬λ€κ³Όμ νμ‘° λ° κ²μ¬λꡬμ νλ 보κΈμ΄ νμνλ€.
In recent years, document containing identification conditions and procedures for decision making of learning disabilities (LDs) within a Response to Intervention (RTI) framework has been delivered to schools. In this study, we examined difficulties and things to be improved with respect to the guidelines on the identification of LDs, based on the questionnaire answers of teachers at the center for special education support. As for the difficulties, reliability of assessment data result as well as proof documents, uncertainty about the small group instructions, the need of direct referral procedure for children at risk, and the cooperation of general and special educators were raised for the step 1, while limited assessment tools, cooperating system between schools and the support center, and the role examination of the steering committee for the special education were proposed for the step 2. Based on these problems, the support center personnels argued these things to be improved: 1) teacher and specialist training to get accustomed to the assessment and the identification process, 2) developing and providing the effective intervention programs to deliver the evidence-based practices, and 3) cooperation with teachers at school.λ³Έ μ°κ΅¬λ 2011λ
λ μ λΆ(κ΅μ‘κ³ΌνκΈ°μ λΆ, κΈ°μ΄μ°κ΅¬μ§μ μΈλ¬Έμ¬ν μΌλ°μ°κ΅¬)μ μ¬μμΌλ‘ νκ΅μ°κ΅¬μ¬λ¨μ μ§μμ λ°μ μ°κ΅¬λμμ(NRF-2011-32A-B00194)
Validation of Global Talent Indicator (GTI) for Adolescents II : Testing of Group Invariance Between Male and Female Students
λ³Έ μ°κ΅¬λ μ²μλ
GTI(Global Talent Indicator) κ²μ¬μ νλΉμ±μ ν보νκΈ° μνμ¬, νμ μμΈμΈ κ°μΈλ΄ μλ μμΈκ³Ό κ°μΈκ° μλ μμΈμ μκ΄μ κ°μ νμ¬ λΆμνμμΌλ©°, λ¨λ
μ§λ¨κ° λλ±μ±μ κ²μ¦νμλ€. μ°κ΅¬ κ²°κ³Ό κ²μ¬μ λ νμ μμΈμΈ κ°μΈλ΄μλκ³Ό κ°μΈκ°μλμ μλ‘ μ μν μκ΄μ κ°μ§κ³ μμλ€. λν μμΈ κ΅¬μ‘° λ° λΆνλ, μΈ‘μ λ³μ μ νΈ, μ μ¬λ³μ 곡λΆμ° κ²μ¦μμ λ¨λ
μ§λ¨κ° λλ±μ±μ μμ©ν μ μμλ€. μ΄λ GTI κ²μ¬μ μμΈκ΅¬μ‘°μ λΆνλ, μΈ‘μ λ³μ μ νΈμ λ¨λ
μ§λ¨κ° μμ μ μΌλ‘ λλ±νκ² λνλκΈ° λλ¬Έμ λ¨λ
κ° κ³΅ν΅ κ·μ€μ μ¬μ©ν μ μλ€λ μ€μ μ μΈ μμκ° μλ€.
The purpose of this study was to validate the Global Talent Indicator. For this purpose, a strong relationship between inter-individual competence and intra-individual competence was proposed and tested through a confirmatory factor analysis. In addition, multi-group confirmatory factor analysis was performed to test factor invariance, metric invariance, scalar invariance and invariance of structural covariance across female and male students. The results indicated followings. First of all, a correlation of inter-individual competence and intra-individual competence was high(.93) and the new model's fit index was appropriate. Second, a result of multi-group confirmatory factor analysis showed factor invariance, metric invariance, scalar invariance and invariance of structural covariances across female and male students. It indicated when using norm and interpreting test results, common norm and factor structure could be applied to both female and male.λ³Έ μ°κ΅¬λ μμΈλνκ΅ μ°ννλ ₯μ°κ΅¬ (700-20100008)μ μνμ¬ μνλμμ΅λλ€
Validation of Global Talent Indicator (GTI) for Adolescents
λ³Έ μ°κ΅¬λ κΈλ‘λ² μΈμ¬μλ (Global Talent)μ νΉμ±μ νμΈνκ³ , κΈλ‘λ² μΈμ¬μ ꡬμ±μμλ₯Ό μΆμΆν ν, μ΄λ₯Ό μ΄μ©νμ¬ μ΄κΈ° μ²μλ
κΈ°μ κΈλ‘λ² μΈμ¬ μλμ νμνκΈ° μν λͺ©μ μΌλ‘ μνλμλ€. μ΄λ¬ν μ°κ΅¬λͺ©μ μ λ¬μ±νκΈ° μνμ¬ κΈλ‘λ² μΈμ¬ μλμ μ μλ₯Ό μ μνκ³ κ²μ¬λ₯Ό κ°λ°νλ©°, κ°λ°ν κ²μ¬λ₯Ό νλΉν νμλ€. λ¨Όμ λ¬ΈνλΆμμ ν΅ν΄μ κΈλ‘λ² μΈμ¬μ κ΄λ ¨ κ°λ
μ νμΈνκ³ , ꡬμΈμ νμΈν ν, μ΄λ±νκ΅ 4, 5, 6 νλ
, μ€νκ΅ 1, 2νλ
κΉμ§ μ μ΄κΈ° μ²μλ
κΈ°μ νμμ λμμΌλ‘ μλ£λ₯Ό μμ§ν ν νλΉν μμ
μ μννμλ€. μ°κ΅¬ κ²°κ³Όμ λ°λ₯΄λ©΄, κΈλ‘λ² μΈμ¬ μλμ ꡬμΈμ λΉμ , μκΈ°μ£Όλμ±, μ°½μμ±, μλ―Όμμ, κ°μ±μ§λ₯, λ¬Ένμ§λ₯, λμΈκ΄κ³λ₯λ ₯μΌλ‘ νμΈλμλ€. μ λ’°λ λΆμκ³Ό μκ΄κ΄κ³ λΆμ λ° κ΅¬μ‘°λ°©μ μμ μ΄μ©ν νλΉλ λΆμμ λ°λ₯΄λ©΄ κΈλ‘λ² μΈμ¬μλ κ²μ¬λ μ΄κΈ° μ²μλ
λ€μ κΈλ‘λ² μλ νΉμ±μ ν©λΉνκ² λ°μνλ κ²μΌλ‘ λ°νμ‘λ€. λν, μ΄λ¬ν κ²°κ³Όλ₯Ό λ°νμΌλ‘ ν₯ν κΈλ‘λ² μΈμ¬ μλμ λν νμ μ°κ΅¬μ κ°λ₯μ±κ³Ό μ¬νμ ν¨μλ₯Ό μ μνμλ€.
The purpose of this study was to define and extract components of Global Talent, and to develop and validate the Global Talent Indicator. For this purpose, preliminary concepts were reviewed and derived from the previous studies. Two pilot studies were conducted. Through the pilot studies, the items were revised. Exploratory factor analysis was executed and identified 8 factors. The validation study was conducted with 1,855 students ranging from 4th to 8th graders. The validities of the GTI was examined through correlation, reliability, and confirmatory factor analysis. The Global Talent Indicator consisted of 8 factors. The factors were Vision, Self-Leadership, Creativity, Citizenship, Emotional intelligence, Cultural intelligence, Interpersonal competence, and Cognitive abilities. Lastly, implications for further research on Global Talent Model were discussed. Key words: Global Talent, Vision, Self-Leadership, Creativity, Citizenship, Emotional intelligence, Cultural intelligence, Interpersonal competence, and Cognitive abilitie
Learning Disabilities in Korea: A Synthesis of Researches from 1999 to 2008
λ³Έ μ°κ΅¬λ κ΅λ΄μ νμ΅μ₯μ μ°κ΅¬μ λν λ¬ΈνλΆμμ ν΅ν΄ νμ¬ κ΅λ΄ νμ΅μ₯μ μ μ λ°μ μΈ μ°κ΅¬ λν₯μ νμ
νκ³ , μ΄μ λ°λ₯Έ μμ¬μ μ μ 곡νλ©°, ν₯ν μ°κ΅¬μ λν λ°©ν₯μ λͺ¨μν΄λ³΄κ³ μ νμλ€. μ΄λ₯Ό μν΄ 1999λ
λΆν° 2008λ
κΉμ§ λ°νλ μ°κ΅¬ μ΄ 289νΈμ λΆμνμλ€. κ΅λ΄ νμ΅μ₯μ μ°κ΅¬μ λΆμκ²°κ³Όλ₯Ό μμ½νλ©΄ λ€μκ³Ό κ°λ€. 첫째, νΉμ±μ κ΄ν μ°κ΅¬λ νμ΅μ₯μ μ μ½κΈ°μ₯μ μ νΉμ±, νΉν κ·Έ μΈμ§μ νΉμ±μ κ΄ν μ°κ΅¬μ νΈμ€λμ΄ μ΄λ£¨μ΄μ Έμλ€. λμ§Έ, μ μμ μ§λ¨ λ° νλ³μ μμ΄ λλΆλΆμ μ°κ΅¬λ€μ΄ νμ΅μ₯μ μ μ μμ μ§λ¨ λ° νλ³κ³Ό κ΄λ ¨νμ¬ μ΄λ£¨μ΄μ‘μΌλ©°, μ°κ΅¬λ€μ μ£Όλ‘ νμ¬μ μ μμ μ§λ¨ λ° νλ³μ μμ΄μμ λ¬Έμ λ₯Ό μ§μ νκ³ μλ‘μ΄ λμμ μ μνκ³ μλ€. μ
μ§Έ, νμ΅μ₯μ μ κ΄λ ¨νμ¬ μ€μ¬ μμμ μ°κ΅¬κ° κ°μ₯ λ§μ΄ μ΄λ£¨μ΄μ‘μΌλ μΈλΆ μμλ³λ‘ νΈμ€λμ΄ μκ³ , κ°λ³ μ€μ¬μ λν΄ λ°λ³΅ μ°κ΅¬κ° λΆμ‘±ν κ²½ν₯μ λνλ΄μλ€. λ·μ§Έ, μ΄ λ°μ νμ΅μ₯μ μ κ΄λ ¨ν μ°κ΅¬λ‘λ νμ΅μ₯μ μ λν μΈμ λ° ν΄μΈμ νμ΅μ₯μ μ κ΄λ ¨ν μ¬λ‘λ₯Ό μ μνκ³ μλ λ
Όλ¬Έλ€μ΄ μμλ€. λ
Όμμμλ μ΄λ¬ν λΆμκ²°κ³Όμ λν μ μΈμ ν¬ν¨, 2λ
λ¨μλ‘ ν μ°κ΅¬ κ²½ν₯ λΆμμ μ μνμλ€. κ·Έ κ²°κ³Ό, 2000λ
λ μ΄λ°κΉμ§λ μ£Όλ‘ νμ΅μ₯μ μ νΉμ±, μ μμ μ§λ¨ λ° νλ³, μ€μ¬ λ° μΉλ£μ κ΄ν μ°κ΅¬κ° νλ°νκ² μ΄λ£¨μ΄μ§ λ°λ©΄, 2000λ
λ νλ°μ μ μ΄λ€λ©΄μ κ·Έ κ²½ν₯μ΄ μλ§ν νν₯μΈλ₯Ό λλ©°, μλ¬Όνμ μ°κ΄μ±μ΄λ κΈ°νμ μΈ‘λ©΄μ λν κ΄μ¬μ΄ μ°¨μΈ° μ겨λκ³ μμμ μ μ μμλ€. κ·Έλ¦¬κ³ νμ΅μ₯μ μ νμ μμ μ€ λΉμΈμ΄μ νμ΅μ₯μ , νμ΅μ₯μ 곡쑴μ₯μ , νμ΅μ₯μ μμ¬μ λν μ°κ΅¬κ° μ’ λ μνλ νμμ±μ λν΄μ μΈκΈνμλ€.
The purpose of this study was to find out the recent trends of researches in Korea by synthesizing findings of students with learning disabilities, in order to provide implications for future directions. 289 studies published between 1999 and 2008 were examined. The results of the present study were as follows. First, studies on characteristics of learning disabilities have been mostly conducted in conjunction with reading disabilities, specially focusing on cognitive characteristics of reading disabilities. Second, studies on definition, diagnosis and identification of learning disabilities point out problems of these areas and propose the alternatives. Third, it was found that the majority of research on learning disabilities in Korea has been dedicated to examine the effects of an intervention on students with learning disabilities. However, studies on intervention of learning disabilities have been conducted under a biased towards specific area, and showed the lack of replication studies on each intervention. Fourth, additionally there were studies on awareness on learning disabilities and foreign case studies. As the results, while studies on characteristic, definition, diagnosis/identification, intervention/treatment of learning disabilities until early 2000's were mainly conducted, it showed a tendency to decrease in late 2000's and interests on the biological and other aspects start to increase. It was suggested the future directions for research toward nonverbal learning disabilities, comorbidity of learning disabilities, and the gifted learning disabilities