When students work independently, monitor task performance, and recognise difficulties they cannot overcome on their own, requesting assistance from a more knowledgeable individual can be an adaptive learning strategy. In this chapter, the academic help-seeking literature is briefly reviewed then contrasted with several types of nonadaptive actions in which students often engage when they encounter academic difficulty. Further, practical concerns of teachers are addressed, particularly on how to support student efforts at adaptive help seeking.
Author: Richard S. Newman
Source: Newman, R.S. (2008). The motivational role of adaptive help seeking in self-regulated learning. Chapter 13 in the book Motivation and self-regulated learning. Theory, research, and applications edited by Dale E. Schunk & Barry J. Zimmerman (Routledge, Taylor, & Francis Group).
An important aspect of the learning process is asking questions about material one does not understand. When students work independently, monitor task performance, and recognise difficulties they cannot overcome on their own, requesting assistance from a more knowledgeable individual can be considered an adaptive learning strategy. In this chapter, academic help-seeking literature is briefly reviewed then contrasted with several types of nonadaptive actions in which students often engage when they encounter academic difficulty. Any practical concerns of teachers, particularly how to support students’ efforts at adaptive help seeking, are also addressed.
Adaptive help seekers carefully consider three sets of questions:
1. Necessity of the request, for example
2. Content of the request, for example
3. Target of the request, for example
Adaptive help seekers possess the following intrapersonal, affective-motivational, and self-system resources:
1. Goals (such as desire to learn)
2. Self-beliefs (such as self-efficacy and perceived competence)
3. Emotions (such as self-esteem that allows one to admit to others his or her limitations)
Operationalising adaptive help seeking
What can teachers do?
Teacher-student involvement
Support for autonomy
Support for competence
This chapter focuses on motivation as a consequence of learning to self-regulate, arguing that a facility for learning is a motivator in itself. By engaging in academic pursuits productively, an individual can enjoy being a student and develop confidence about schoolwork. Further, students with good work habits are recognised and given status as full participants in their school community.
Author: Lyn Corno
Source: Corno, L. (2008). Work habits and self-regulated learning: Helping students to find a ‘will’ from a ‘way’. Chapter 8 in a book Motivation and self-regulated learning. Theory, research, and applications edited by Dale E. Schunk & Barry J. Zimmerman (Routledge, Taylor, & Francis Group).
This chapter focuses on motivation as a consequence of learning to self-regulate, arguing that a facility for learning is, in itself, a motivator. Individuals who engage in academic pursuits productively can enjoy being a student and develop confidence about schoolwork. Moreover, students with good work habits are recognised and are considered full participants in their school community. Students tend to carry this sort of recognition throughout their school years.
What is self-regulated learning?
What is volition?
A framework for thinking about work habits
What are good work habits?
Planning
Organisational skills
Managing homework
Study techniques
Experimenting with learning
Using feedback
Seeking help
Volunteering
Class participation
How to plan to work?
What are good study techniques?
Two ‘bags of tricks’ for doing well in school
In the case of making ideas orderly, the tricks include the following:
In the case of sharing your ideas, the tricks include the following:
The idea is that teacher responds favourably when students offer help in class without being asked. For example
In the curriculum, teachers are asked to work together with students and their parents to design targeted home-based learning skills exercises.
Both quantitative and qualitative evidence from a series of studies supported the value of introducing children to class participation and memory support skills.
Students who completed all the exercises in the programme achieved significantly higher reading and vocabulary scores.
The treatment effect exceeded 0.75 standard deviations of adjusted class means.
Collaborating with teachers to study work habits
Getting students to develop good work habits
Example curriculum to exercise and develop budding work habits
Herein, evidence from 15 Early Grade Reading (EGR) interventions are summarised. It was found that EGR interventions are not a guaranteed means of improving reading and rarely lead to fluency in the short term. However, they are a predominantly reliable method of making substantial improvements in reading skills over a short period of time across a variety of contexts. The average effects equate to approximately three years of schooling.
Authors: Jimmy Graham & Sean Kelly
Source: Graham, J. & Kelly, S. (2019). How effective are early grade reading interventions? A review of the evidence. Education Research Review, 27, 155-175, https://doi.org/10.1016/j.edurev.2019.03.006
Early Grade Reading interventions are programmes that aim to strengthen core reading skills in Grades 1–4. This is achieved by training teachers to teach reading using simplified instruction and evidence-based curricula and by employing a combination of complementary approaches. Herein, evidence from 15 EGR interventions are summarised. It was found that EGR interventions are not a guaranteed means to improve reading and they rarely lead to fluency in the short term. However, they are a mainly reliable means of making substantial improvements in reading skills over a short period of time across a variety of contexts, with average effects equating to approximately three years of schooling.
What are Early Grade Reading interventions?
Teacher training
In-service training
The study
This paper adds to the literature by presenting a clear definition of EGR interventions and a rationale for why they should enhance reading skills. Further, evidence from 15 impact evaluations occurring across a large variety of contexts are summarised.
The data
Data consisted of 15 evaluations of EGR interventions. When examining these evaluations, the focus was on their effect on reading fluency, letter-sound knowledge, and comprehension.
Findings
Implications
This meta-analysis summarises 74 studies (N = 80,145) that simultaneously examined the predictive power of intelligence and motivation for school achievement. In a path model, 24% of variance in school achievement was explained overall, 66.6% was uniquely explained by intelligence, and 16.6% uniquely by motivation. Both intelligence and motivation contribute substantial and unique shares to the prediction of school achievement and an additional share of commonly explained variance.
Authors: Katharina Kriegbaum, Nicolas Becker & Birgit Spinath
Source: Kriegbaum, K., Becker, N. & Spinath, B. (2018). The relative importance of intelligence and motivation as predictors of school achievement: A meta-analysis. Educational Research Review, 25, 120-148, https://doi.org/10.1016/j.edurev.2018.10.001
This meta-analysis summarises 74 studies (N = 80,145) that simultaneously examined the predictive power of intelligence and motivation for school achievement. The average correlations were moderate between intelligence (r = 0.44) and motivation (r = 0.27) with school achievement and between intelligence and motivation (r = 0.17). Correlation between motivation and school achievement was higher for expectancies than for values. In a path model, 24% of variance in school achievement was explained overall, 66.6% was uniquely explained by intelligence, and 16.6% uniquely by motivation. Both intelligence and motivation contribute substantial and unique shares to the prediction of school achievement and an additional share of commonly explained variance.
What is intelligence?
What is motivation?
Expectancies
Values
The study
The purpose of the present meta-analysis was to summarise findings from the literature to investigate the relative importance of motivation and intelligence in predicting school achievement. Another purpose was to identify relevant moderator variables, including the type of achievement measure, motivational construct, intelligence measure, subject domain, study design, grade level, school form, gender, country, and year of publication.
Data
Data for the meta-analysis consisted of 74 published or unpublished studies.
Findings
Moderator results
Implications
This study presents a systematic review of available empirical research on primary school students’ first language listening skills. At the classroom level, students’ listening skills and teaching practices (such as listening strategy instruction) in addition to classroom features (such as classroom noise) were related. At the student level, students’ listening skills and their cognitive skills (such as working memory) and background characteristics (such as socioeconomic status) were related.
Authors: Heleen Bourdeaud’hui, Koen Aesaert, Hilde Ven Keer, & Johan van Braak
Source: Bourdeaud’hui, H; Aesaert, K.; Van Keer, H.; van Braak, J. (2018). Identifying student and classroom characteristics related to primary school students’ listening skills: A systematic review. Educational Research Review, 25, 86-99, https://doi.org/10.1016/j.edurev.2018.09.005
This study presents a systematic review of available empirical research on primary school students’ first language listening skills. In total, 27 studies were selected and reviewed. First, the outcome variables of listening skills were labelled, with the results indicating that most studies evaluated listening skills as the ability to remember, understand, or interpret an auditory message. Second, important correlates related to primary school students’ listening skills were identified. At the classroom level, students’ listening skills and teaching practices (such as listening strategy instruction) in addition to classroom features (such as classroom noise) were related. At the student level, students’ listening skills and their cognitive skills (such as working memory) and background characteristics (such as socioeconomic status) were related.
Why are listening skills important?
The six components of listening skills (HURIER model):
The study
The intent of this study is to analyse existing listening literature and provide a systematic overview of the correlates of primary school students’ listening skills.
Research questions:
The data consisted of 27 articles reviewed in this study.
Findings
Results at the class level
Teaching practice
Classroom features
Teacher background
Results at the student level
Student background
Implications
The evidence on Early Childhood Education and Care (ECEC) in the first three years for disadvantaged children indicates that high-quality ECEC can produce benefits for cognitive, language, and social development. With regard to provision for subsequent years, disadvantaged children benefit particularly from high-quality preschool provision. Further, children benefit more in socially mixed groups.
Authors: Edward Melhulsh, Katharina Ereky-Stevens, Konstantinos Petroglannis, Anamaria Ariescu, Efthymia Penderi, Konstantina Rentzou, Alice Tawell, Pauline Slot, Martine Broekhuizen, & Paul Leseman
Source: Melhulsh, E., Ereky-Stevens, K., Petroglannis, K., Ariescu, A., Penderi, E., Rentzou, K., Tawell, A., Slot, P., Broekhuizen, M. & Leseman, P. (2015). CARE – Curriculum quality analysis and impact review of European Early Childhood Education and Care (ECEC). https://ecec-care.org/fileadmin/careproject/Publications/reports/new_version_CARE_WP4_D4_1_Review_on_the_effects_of_ECEC.pdf
High-quality childcare has been associated with benefits for children’s development, with the strongest effects for children from disadvantaged backgrounds. However, negative effects can sometimes occur. Discrepant results may relate to age of starting and differences in the quality of childcare. The evidence on ECEC in the first three years for disadvantaged children indicates that high-quality ECEC can produce benefits for cognitive, language, and social development. With regard to provision for subsequent years, disadvantaged children benefit particularly from high-quality preschool provision. Further, children benefit more in socially mixed groups. This educational success is followed by increased success in employment, social integration, and reduced criminality in adulthood.
Quality characteristics of early years childcare:
Studies in USA
Early Head Start (EHS)
The positive effects for children
The positive effects for parents
Infant Health and Development Programme (IHDP)
Milwaukee project
Abecedarian Project
Project CARE
Perry Preschool Project (PPP)
Early Training Project (ETP)
Head Start
Child-Parent Centre (CPC)
Great Start Readiness Programme
Texas Targeted Pre-Kindergarten Programme
Syracuse Family Development Research Programme
European studies
UK
Denmark
Germany
Netherlands
France
Summary of evidence for disadvantaged children
ECEC for children up to three years of age in the general population
Socio-emotional development
Cognitive, language, and educational development
ECEC for children aged over three years in the general population
Socio-emotional development
Cognitive, language, and educational development
Summary
Implications
The Executive Functions (EFs) of inhibitory control, working memory, and cognitive flexibility enable us to think before we act, resist temptations or impulsive reactions, remain focused, reason, problem-solve, flexibly adjust to changed demands or priorities, and see things from new and different perspectives. Further, it is now clear that they can be improved at any age through training and practice. We predict that in addition to training EFs directly, the most successful approaches for improving EFs will also address emotional, social, and physical needs.
Authors: Adele Diamond & Daphne S. Ling
Source: Diamond, A. & Ling, D.S. (2016). Conclusions about interventions, programs, and approaches for improving executive functions that appear justified and those that, despite much hype, do not. Developmental Cognitive Neuroscience, 18, 34-48, http://dx.doi.org/10.1016/j.dcn.2015.11.005
The Executive Functions (EFs) of inhibitory control, working memory, and cognitive flexibility enable us to think before we act, resist temptations or impulsive reactions, remain focused, reason, problem-solve, flexibly adjust to changed demands or priorities, and see things from new and different perspectives. Moreover, it is now clear that they can be improved at any age through training and practice. However, despite claims to the contrary, wide transfer does not seem to occur and ‘mindless’ aerobic exercise does little to improve Efs. Since stress, sadness, loneliness, or poor health impair Efs (and the reverse enhances EFs), we predict in addition to training EFs directly, the most successful approaches for improving EFs will also address emotional, social, and physical needs.
What are Executive functions (EFs)?
Interventions, programmes, and approaches for improving EFs
Conclusions that emerge from the various studies on different methods of improving EFs
1. While EF training appears to transfer, it appears to be narrow.
2. Whether EF improvements are achieved depends on the amount of time spent practicing.
3. Whether EF improvements are achieved depends on the way an activity is presented and conducted.
4. EFs should be continually challenged (not just used) to produce improvements.
5. Those with the poorest EFs consistently gain the most from any programme that improves EFs.
6. Once practice ends, benefits diminish.
7. Often, differences between treatment and control groups only appear when participants’ EF skills are pushed near to their limit.
8. Aerobic exercise (resistance training) without a cognitive component produces little or no EF benefits.
9. The reason why improvements are found is not always obvious and sometimes it can be counter-intuitive.
A different perspective based on the neurobiology of EFs and prefrontal cortex
This study reintroduces a wide-angled view of reading comprehension and the Reading Systems Framework, which places word knowledge in the centre of the picture. Within this framework, word-to-text integration processes can serve as a model for the study of local comprehension processes. Studies of these processes allows the influence of one sentence on the reading of a single word in a second sentence to be examined, which enables the integration of the word meaning into the reader’s mental model of the text.
Authors: Charles Perfetti & Joseph Stafura
Source: Perfetti, C. & Stafura, J. (2014). Word knowledge in a theory of reading comprehension. Scientific Studies of Reading, 18(1), 22-37, DOI: 10.1080/10888438.2013.827687
This study reintroduces a wide-angle view of reading comprehension and the Reading Systems Framework, which places word knowledge in the centre of the picture. Within this framework, word-to-text integration processes can serve as a model for the study of local comprehension processes. These processes require a linkage between the word identification system and the comprehension system, with lexicon performing the linking role. Studies of these processes allows examining the influence of one sentence on the reading of a single word in a second sentence, which enables the integration of the word meaning into the reader’s mental model of the text. Skilled comprehenders show immediate use of word meanings in the integration process.
The Reading Systems Framework: Claims about reading:
A neurobiological model of language processing
Comprehension skill within the lexical system of the Reading Systems Framework
Two complementary hypotheses:
Comprehending texts includes comprehending words
Word-to-text integration
The paraphrase effect and comprehension skill
Knowledge of word meanings is instrumental in reading comprehension
Word comprehension within the reading systems framework
In this experimental study, 16 sixth-grade classes (N = 236) were randomly assigned to either experimental or control conditions. In the experimental condition, student contributions to ‘gap-filling’ inferences with expository texts were made explicit by means of graphic models and inference-demanding questions. After 8 sessions of 30 min each, a large training effect was found on student inference-making skills with a substantial and sustained transfer effect to a standard measure of reading comprehension.
Authors: Carsten Elbro & Ida Buch-Iversen
Source: Elbro, C. & Buch-Iversen, I. (2013). Activation of background knowledge for inference making: Effects on reading comprehension. Scientific Studies of Reading, 17(6), 435-452. DOI: 10.1080/10888438.2013.774005
Failure to activate relevant, existing, background knowledge may be a cause of poor reading comprehension. This failure can result in particular problems with inferences that depend heavily on prior knowledge. In this experimental study, 16 sixth-grade classes (N = 236) were randomly assigned to either experimental or control conditions. In the experimental condition, student contributions to ‘gap-filling’ inferences with expository texts were made explicit through graphic models and inference-demanding questions. After 8 sessions of 30 min each, a large training effect was found on student inference-making skills with a substantial and sustained transfer effect to a standard measure of reading comprehension.
The present study
In the present study, Grade 6 students (aged 11 years) were selected because they face an increasing number of expository texts from which they are expected to acquire new knowledge. The study focused exclusively on knowledge-demanding and gap-filling inferences for two reasons: they are necessary for building a coherent representation of texts and they may work as an ideal showcase for the use of background knowledge.
Research questions:
The present data
In this study, 16 sixth-grade classes were randomly assigned to either an experimental or a control condition. The class teachers provided voluntary participation. The experimental condition consisted of 10 classes, while the control condition comprised 6 classes (from 2 schools). In the experimental condition, eight lessons in knowledge-based inference making replaced a similar amount of teaching of mother-tongue language and literature, whereas the control group received ordinary teaching.
The inference-training programme
Findings
Summary
Data from 101 mother/father/child triads were used to consider the extent to which associations between home literacy and children’s reading fluency could be accounted for by parental reading fluency. Although home literacy correlated significantly with children’s reading, no variable predicted significant variance after allowing for parental reading, except the number of books in the home.
Authors: Elsje van Bergen, Titia van Zuijen, Dorothy Bishop & Peter F. de Jong
Source: Van Bergen, E., van Zuijen, T., Bishop, D. & de Jong, P.F. (2016). Why are home literacy environment and children’s reading skills associated? What parental skills reveal. Reading Research Quarterly, 52(2), 147–160, DOI: 10.1002/rrq.160
Associations between the home literacy environment and children’s reading ability are often assumed to reflect a direct influence. However, heritability could account for the association between parent and child literacy-related measures. Data from 101 mother/father/child triads were used to consider the extent to which associations between home literacy and children’s reading fluency could be accounted for by parental reading fluency. Although home literacy correlated significantly with children’s reading, no variable predicted significant variance after allowing for parental reading, except the number of books in the home.
The study
The present study examines reading fluency in a sample of children and their parents. The focus was on decoding skills because they form the basis for reading comprehension skills, and a decoding deficit is the primary criterion for dyslexia. As measures of the family environment, parental education and home literacy were studied. As indicators of home literacy, parents’ print exposure and the availability of magazines, newspapers and books in the home were used.
Research question
1. Does the family environment predict children’s reading fluency after controlling for the reading fluency of both parents?
The data consisted of 101 Dutch mother/father/child families of which both (biological) parents and at least one child took part. The mean age of the children was 10.92 years old.
Findings
Implications