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1.
Rajiv Satsangi Rachel Hammer Christina D. Hogan 《Learning disabilities research & practice》2019,34(1):35-46
As classrooms begin to adopt a greater number of digital technologies such as computers and tablets, it is important for educators to understand how effective such tools can be in aiding in the delivery of instruction to students who struggle in mathematics, such as those identified with a learning disability in mathematics. One digital‐based instructional strategy with a limited research base for students with a learning disability is video modeling. Through a single subject alternating treatments design, this study compared the use of video modeling to face‐to‐face explicit instruction for teaching geometry word problems to three secondary students with a learning disability in mathematics. Across 10 sessions of intervention, all three students demonstrated improved performance on all dependent variables with both interventions, while the explicit instruction condition produced slightly greater accuracy scores for two of the three students. The results and their implications for the field of mathematics are discussed. 相似文献
2.
The effects of independent and interdependent group contingencies for academic work on the disruptive classroom behavior of junior high school students were examined. Using a multiple baseline design, the disruptive classroom behavior in five mathematics classes was measured under baseline, independent group, and interdependent group contingencies. Group contingencies consisted of free-time contingent on completion and accuracy of daily mathematics assignments. Free-time was delivered either individually, contingent on individual performance (independent group contingency), or to the class as a whole, contingent on group performance (interdependent group contingency). In all classes, the level of disruptive behavior was reduced when treatment was initiated. Both independent and interdependent group contingencies resulted in lowered rates of disruptive behavior, with the interdependent contingency being slightly more effective. It was concluded that for junior high students: (a) Free-time is an effective reinforcer. (b) Reinforcing academic behavior is an effective method of reducing disruptive classroom behavior. (c) Both independent and interdependent group contingencies are effective techniques for changing classroom behavior. (d) The teacher can effectively implement a behavior change program with little or no training in behavior analysis. 相似文献
3.
The posterior predictive model checking method is a flexible Bayesian model‐checking tool and has recently been used to assess fit of dichotomous IRT models. This paper extended previous research to polytomous IRT models. A simulation study was conducted to explore the performance of posterior predictive model checking in evaluating different aspects of fit for unidimensional graded response models. A variety of discrepancy measures (test‐level, item‐level, and pair‐wise measures) that reflected different threats to applications of graded IRT models to performance assessments were considered. Results showed that posterior predictive model checking exhibited adequate power in detecting different aspects of misfit for graded IRT models when appropriate discrepancy measures were used. Pair‐wise measures were found more powerful in detecting violations of the unidimensionality and local independence assumptions. 相似文献
4.
网络交互质量是影响网络教学效果的重要因素。已有的网络交互教学成效评价系统缺乏对学习过程的监控和对学习者的良好建模,评价大多凭借专家经验,评估的主观随意性大,评价结果与实际值存在一定的误差。贝叶斯网络有很强大的解决不确定问题的处理水平,是目前基于概率的不确定表达和智能推理方面最有效的理论模型之一。基于贝叶斯网络的网络交互教学成效评价系统,基于领域知识关系构建贝叶斯网络学生模型,并引入模糊数学变换方法对学生认知水平进行评估。能减少不正常因素的干扰,提高对学生认知能力评价的精确度．实现对网络教学交互的质量评估和个性化导学。 相似文献
5.
The interaction between the heat source location, its intensity, thermal expansion coefficient, the machine system configuration and the running environment creates complex thermal behavior of a machine tool, and also makes thermal error prediction difficult. To address this issue, a novel prediction method for machine tool thermal error based on Bayesian networks （BNs） was presented. The method described causal relationships of factors inducing thermal deformation by graph theory and. estimated the thermal error by Bayesian statistical techniques. Due to the effective combination of domain knowledge and sampled data, the BN method could adapt to the change of running state of machine, and obtain satisfactory prediction accuracy. Experiments on spindle thermal deformation were conducted to evaluate the modeling performance. Experimental results indicate that the BN method performs far better than the least squares （LS） analysis in terms of modeling estimation accuracy. 相似文献
6.
Catherine A. Kunsch Asha K. Jitendra Sheetal Sood 《Learning disabilities research & practice》2007,22(1):1-12
The purpose of this synthesis is to summarize the effectiveness of peer‐mediated interventions on the mathematics performance of both students with disabilities and those at risk for mathematics disabilities. Meta‐analytic techniques were used to calculate mean effect sizes for 17 studies that met inclusion criteria. Results indicate that peer‐mediated interventions in mathematics are moderately effective for improving students' mathematics performance. Also, findings are strongest for students at risk for mathematics disabilities, elementary‐aged participants, and mathematics computation content. Recommendations for future research and practical implications are discussed. 相似文献
7.
Deborah L. Butler Beverly Beckingham Helen J. Novak Lauscher 《Learning disabilities research & practice》2005,20(3):156-174
Abstract. This article presents three in‐depth case studies focused on supporting students with learning challenges to learn math strategically. Participants were three eighth‐grade students enrolled in a learning assistance classroom who were of at least average intelligence but who were performing significantly below grade level in mathematics. These case studies document the processes by which these students were supported to self‐regulate their learning in mathematics more effectively. We begin by outlining important instructional foci in mathematics education for intermediate or secondary students with learning disabilities, along with what research indicates are effective instructional processes. In that context, we introduce the theoretical principles underlying the instructional model used here—Strategic Content Learning (SCL). Based on analyses of case study data, we describe how SCL instruction was structured to promote strategic learning. Throughout the discussion, intervention processes are described in sufficient detail to be of use to practitioners. 相似文献
8.
Ego depletion effects on mathematics performance in primary school students: why take the hard road?
Reduction in performance level following on from brief periods of self‐control is referred to as ego depletion. This study aimed to investigate if a brief ego depletion experience would impact upon primary school students working through an online mathematics exercise involving 40 computational trials. Seventy‐two students participated in the control group, and 80 students participated in the ego depletion group. The students were 10–14 years of age. A three‐minute task involving resistance to distraction was used as the depletion experience. Before each trial, participants selected task difficulty level. Control group students began by working at a moderate difficulty level and then progressed to work on more difficult items. Ego‐depleted students chose to work on easy problems throughout. Ego depletion did not markedly affect error rate after the first trial. Depletion effects can be evident in students’ academic application through encouraging students to undertake easier options. 相似文献
9.
Analyzing and designing productive group work and effective communication constitute ongoing research interests in mathematics education. In this article we contribute to this research by using and developing a newly introduced analytical approach for examining effective communication within group work in mathematics education. By using data from 12 to 13-year old students playing a dice game as well as from a group of university students working with a proof by induction, the article shows how the link between visual mediators and technical terms is crucial in students’ attempts to communicate effectively. The critical evaluation of visual mediators and technical terms, and of links between them, is useful for researchers interested in analyzing effective communication and designing environments providing opportunities for students to learn mathematics. 相似文献
10.
Jelena Teodorović 《Educational studies》2012,38(1):89-110
This paper describes student‐level findings of the first large‐scale comprehensive school effectiveness study of the primary education in Serbia. Twenty‐five student‐level variables were examined in a three‐level HLM model using a study sample of almost 5000 students, over 250 classrooms and over 100 schools. Differences between the students were in large part responsible for differences in achievement scores in mathematics and Serbian language. Parental education, Roma minority status, developmental or family problems, gender, student motivation, parental involvement in student work and homework were some of the factors associated with student achievement. Serbian policy‐makers are alerted to possible actions in order to improve mathematics and Serbian language achievement. 相似文献
11.
Academic performance is predicted by a multitude of demographic, contextual, cognitive, and noncognitive factors. The noncognitive factors predicting achievement in mathematics that have previously been investigated in depth are study skills, confidence, self-efficacy, and personality traits (Kyllonen, 2012). Limited applied research has explored the predictive value of attitudes and beliefs in mathematics achievement using representative data of U.S. students. The current study uses the theory of planned behavior (TPB) to explain high school students’ performance in mathematics in large-scale assessment data by using the PISA 2012. Along with key demographic factors, results indicated that students’ attitudes, subjective norms, and perceived behavioral control beliefs explained 21.1% of the variability in intentions to pursue and major in mathematics in the future, 59.4% of the variability in behavioral engagement with mathematics learning, and 30.7% of the variability in mathematics performance.The study results have implications on: (1) the applicability of an attitude-behavior framework in educational research for understanding academic performance, (2) the importance of perceived control and self-efficacy beliefs for predicting behavioral engagement in mathematics (e.g., paying attention in class, completing homework, studying for exams) and subsequent mathematics performance, and (3) the practical significance of students’ attitude towards mathematics on their intentions to pursue mathematics coursework in post-secondary education and possess math-relevant career aspirations. 相似文献
12.
Hudson and Rottman (1981) established that mathematics ability is probably a secondary factor influencing dropout from college physics courses. Other factors remain to be found for predicting who will drop out or at least have difficulty with the course. When mathematics ability is coupled with general indicators of performance (total GPA and ACT natural science), prediction of performance for those who complete the course is substantially improved. Moreover, discriminant analyses reveal who will have at least some difficulty, but not who will drop out. The problem of isolating specific weaknesses of students who have difficulty persists. Physics achievement appears to depend on mathematics ability only to the extent that students possess the ability to utilize mathematics knowledge for solving physics problems. Identification of the specific aspects of this ability as well as the specific deficiencies leading to dropout should be the object of future research. For the present, interviews might be more revealing than group testing methods. 相似文献
13.
Effects of Tier 2 and Tier 3 Mathematics Interventions for Second Graders with Mathematics Difficulties 
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下载免费PDF全文 Minyi Shih Dennis 《Learning disabilities research & practice》2015,30(1):29-42
Two studies were conducted to examine the effects of Tier 2 and Tier 3 mathematics interventions on students with mathematics learning difficulties. In the first study, the work of Bryant et al. was replicated and expanded upon by documenting the sustained effects of a Tier 2 mathematics intervention on mathematics performance by second graders. In the second study, the Tier 2 intervention was intensified to a Tier 3 intervention through increases in two instructional features: group size and dosage. The results of the first study showed that the Tier 2 intervention improved mathematics performance for the majority of student participated in the study, and the effect of the intervention was sustained for the majority of students who responded to the Tier 2 intervention. The results of the second study showed that intensified Tier 3 intervention that involved one‐on‐one instruction and extended time for daily lessons may benefit students who have persistent difficulties with learning mathematics. 相似文献
14.
以中国民航飞行学院飞行技术专业部分学生为研究样本,利用多种统计分析方法对影响大学生数学成绩的因素进行分析,考察教师的教学水平、学生的高考数学成绩等因素对大学数学成绩的影响.结果显示：教师的教学水平与学生的高考数学成绩对大学数学成绩的影响均显著,但高考数学成绩只能解释大学数学成绩12.6%的变异.结论：教师的教学水平与学生的学习能动性对大学数学成绩有良好的促进作用. 相似文献
15.
Patti Cybinski Saroja Selvanathan 《Decision Sciences Journal of Innovative Education》2005,3(2):251-271
This project investigates the relationship between student performance, past mathematics experience, and perceptions of statistics education for two groups of university students studying statistics in different learning environments. One group received the traditional form of teaching with lectures, whereas the other group studied in a more flexible learning mode where lectures were replaced with a computer‐managed learning tool and optional small‐group workshops facilitated by written lecture notes. The results on student learning experience show that, for both groups, student enjoyment of the course is positively related to their learning attitudes and to their perceived value of statistics education, and is negatively related to anxiety with regard to their performance in the course. There is some evidence that the group studying in the technology‐supported flexible learning environment experienced more assessment anxiety and consequently less enjoyment of the subject. There is also evidence that assessment anxiety has a negative effect on student performance that is exacerbated by a lack of prior mathematics experience. Hence, the flexible learning approach in statistics education, with minimal face‐to‐face teaching, may be especially inappropriate for these students. 相似文献
16.
We investigated the effects of a self‐regulatory intervention strategy designed to improve middle‐school students’ calibration accuracy, self‐regulatory skills, and math achievement. Focusing on self‐monitoring and self‐reflection as the two key processes of this intervention in relation to improving students’ math achievement and overall self‐regulation, we randomly assigned 30 sixth‐and seventh‐grade students to either a treatment or a delayed‐treatment control group. At the conclusion of the intervention, we conducted interviews to unearth students’ sources of calibration judgments. Results showed that participants who received the intervention had significantly higher math performance and predictive/postdictive calibration accuracy than did the control group. We provided educational implications of our findings for psychologists and educators. 相似文献
17.
Birgit Eickelmann Julia Gerick Christian Koop 《Education and Information Technologies》2017,22(4):1527-1551
By means of an international comparison, the research presented in the article aims to identify supporting and hindering school level factors for the use of ICT in secondary school mathematics lessons. The relationship between ICT use and the performance of Grade 9 students in mathematics is examined and further integrated into a multi-level model including school level factors. Against the background of a theoretical allocation (1) the IT equipment of schools, (2) school leadership, (3) aspects of school goals and educational strategies as well as (4) teachers’ attitudes will be analyzed by means of a multi-level regression model as well as a multi-level path model including the mathematics achievement of students as measured in the context of PISA 2012. Representative school and student data from five countries, namely Australia, Germany, the Netherlands, Norway and Singapore are taken into consideration, as the integration of ICT in teaching and learning is firmly emphasized in these countries (overall 24,579 students in 1263 schools). By modeling the complex structure, school characteristics are examined with respect to their effect on the use of ICT for mathematics teaching. Moreover, the relation between different factors and students’ mathematics achievement will be synchronously assessed in the different educational systems. The results show that characteristics at school level do play a major role in the integration of ICT into teaching and learning and turn out to be relevant across the educational systems. In addition to further in-depth country-specific findings, the results point to cross-national future challenges in the field of using technologies to enhance teaching and learning. 相似文献
18.
This study investigates the impact of teaching factors on students’ cognitive and metacognitive achievement in mathematics. Written tests and the “Metacognitive Skills and Knowledge Assessment” tool were administered to grade 4 and 5 students (n = 924) at the beginning and end of the school year 2013-2014. A student questionnaire was used for measuring teaching factors. Multilevel SEM analyses revealed a reciprocal relationship between students’ cognitive and metacognitive skills. All teaching factors of the dynamic model of educational effectiveness were found to be associated with mathematics achievement but only four factors (modeling, assessment, questioning, and dealing with misbehavior) were associated with two aspects of metacognition (i.e. prediction and evaluation). Implications of findings are drawn. 相似文献
19.
This article examines Bayesian model averaging as a means of addressing predictive performance in Bayesian structural equation models. The current approach to addressing the problem of model uncertainty lies in the method of Bayesian model averaging. We expand the work of Madigan and his colleagues by considering a structural equation model as a special case of a directed acyclic graph. We then provide an algorithm that searches the model space for submodels and obtains a weighted average of the submodels using posterior model probabilities as weights. Our simulation study provides a frequentist evaluation of our Bayesian model averaging approach and indicates that when the true model is known, Bayesian model averaging does not yield necessarily better predictive performance compared to nonaveraged models. However, our case study using data from an international large-scale assessment reveals that the model-averaged submodels provide better posterior predictive performance compared to the initially specified model. 相似文献