Teaching the ‘Slow’ Learner in the Primary School

2021 ◽  
Keyword(s):  
2021 ◽  
Author(s):  
Nur Syakirah Binti Kamarulzaman ◽  
Danakom Nincarean Eh Phon ◽  
Mohd Syazwan Baharuddin

2017 ◽  
Vol 1 (1) ◽  
pp. 29
Author(s):  
Ayu Hartini ◽  
Dessy Widyaningtyas ◽  
Mai Istiqomatul Mashluhah

Children with slow learning problem or a slow learner are those who have low learning achievement or slightly below average of children in general. Today, the children slowly learn many encountered not only in school inclusion, but in regular schools too. Teachers who do not have adequate experience will find it difficult to deal with in the classroom. So the goal of this research is to find appropriate learning strategies for slow learners in elementary school. 


Author(s):  
Marzita Mansor ◽  
Wan Adilah Wan Adnan ◽  
Natrah Abdullah

<p><span style="font-size: medium;"><span style="font-family: Times New Roman;">Personalization is a good supplement for learning process. It has been claimed that personalization has a huge potential of providing solution to facilitate the learning path based on children ability and preferences. Diverse research on personalized learning for children have been conducted which, are commonly concerns on the development and implementation of personalized learning products and services. However these researches have little emphasized in exploring slow learner personalized learning process particularly on their reading ability. With that, this paper aims to highlight two key important processes of personalization for slow learner children which are construction of user profile and scenario. The scope of this study is on personalization of reading for slow learner children. There were 13 slow learner children with reading difficulties from primary school participated in this study. The key findings from this study are the construction of user profile and scenario that represent the personalization for reading. These user profile and scenario construction then provide guidelines for the development of personalized interface design for slow learner reading application. </span></span></p><p><strong> </strong></p><p> </p>


1997 ◽  
Vol 27 (3) ◽  
pp. 262-269 ◽  
Author(s):  
Z. TOROS SELCUK ◽  
T. CAG-LAR ◽  
T. ENUNLU ◽  
T. TOPAL

2018 ◽  
Vol 34 (3) ◽  
pp. 193-205 ◽  
Author(s):  
Julia Steinbach ◽  
Heidrun Stoeger

Abstract. We describe the development and validation of an instrument for measuring the affective component of primary school teachers’ attitudes towards self-regulated learning. The questionnaire assesses the affective component towards those cognitive and metacognitive strategies that are especially effective in primary school. In a first study (n = 230), the factor structure was verified via an exploratory factor analysis. A confirmatory factor analysis with data from a second study (n = 400) indicated that the theoretical factor structure is appropriate. A comparison with four alternative models identified the theoretically derived factor structure as the most appropriate. Concurrent validity was demonstrated by correlations with a scale that measures the degree to which teachers create learning environments that enable students to self-regulate their learning. Retrospective validity was demonstrated by correlations with a scale that measures teachers’ experiences with self-regulated learning. In a third study (n = 47), the scale’s concurrent validity was tested with scales measuring teachers’ evaluation of the desirability of different aspects of self-regulated learning in class. Additionally, predictive validity was demonstrated via a binary logistic regression, with teachers attitudes as predictor on their registration for a workshop on self-regulated learning and their willingness to implement a seven-week training program on self-regulated learning.


2011 ◽  
Vol 219 (2) ◽  
pp. 92-99 ◽  
Author(s):  
Babett Voigt ◽  
Ingo Aberle ◽  
Judith Schönfeld ◽  
Matthias Kliegel

The present study examined age differences in time-based prospective memory (TBPM) in primary school age children and tested the role of self-initiated memory retrieval and strategic time monitoring (TM) as possible developmental mechanisms. Fifty-four children were recruited from local primary schools (27 younger children, mean age = 7.2 ± 0.55 years, and 27 older children, mean age = 9.61 ± 0.71 years). The task was a driving game scenario in which children had to drive a vehicle (ongoing task) and to remember to refuel before the vehicle runs out of gas (TBPM task, i.e., the fuel gauge served as child-appropriate time equivalent). Fuel gauge was either displayed permanently (low level of self-initiation) or could only be viewed on demand by hitting a button (high level of self-initiation). The results revealed age-dependent TBPM differences with better performance in older children. In contrast, level of self-initiated memory retrieval did not affect TBPM performance. However, strategies of TM influenced TBPM, as more frequent time checking was related to better performance. Patterns of time checking frequency differed according to children’s age and course of the game, suggesting difficulties in maintaining initial strategic TM in younger children. Taken together, the study revealed ongoing development of TBPM across primary school age. Observed age differences seemed to be associated with the ability to maintain strategic monitoring.


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