Learning support and academic achievement among Malaysian adolescents: the mediating role of student engagement

The aim of this study was to examine the associations between learning support, student engagement and academic achievement among adolescents. We also examined the extent to which affective, behavioural and cognitive engagement play a mediating role in students’ perceived learning support from parents, teachers and peers, and contribute to their academic achievement. Malaysian adolescents (aged 12–17 years, N = 2359) completed a self-administered questionnaire based on an adapted version of the Student Engagement And Learning Support Scale. Item and factor analyses were performed to ensure appropriate psychometric properties of the scales. Pearson correlation analysis identified the relationship between variables and structural equation modelling was conducted to identify the role of student engagement as a mediator between learning support and academic achievement. The study provides empirical support for the hypothesis that perceptions of learning support influence adolescents’ affective, behavioural and cognitive engagement in school in different ways, which in turn influences their academic achievement. Cognitive engagement seemed to be the best predictor of academic achievement and the strongest mediator for all three types of learning support. Behavioural engagement was negatively associated with academic achievement, and affective engagement did not have a direct relationship with academic achievement, although it contributed indirectly through cognitive and behavioural engagement. The results of this study provide a basis for policy makers to initiate prevention and intervention programs for increasing the quality of parent–child, teacher–student and peer–peer relationships which ultimately could lead to improved academic competence and outcomes.     

MODELING RELATIONSHIPS AMONG LEARNING,ATTITUDE, SELF-PERCEPTION,AND SCIENCE ACHIEVEMENT FOR GRADE 8 SAUDI STUDENTS

The purpose of the present study was to examine the validity of modeling science achievement in terms of 3 social psychological variables (school connectedness, science attitude, and active learning) and 2 self-perception variables (self-confidence and science value). Two models were tested: full mediation and partial mediation. In the full-mediation model, effects of the 3 social psychological variables upon science achievement were hypothesized to be completely mediated through science value and self-confidence. In the partial-mediation model, however, those 3 variables were hypothesized to affect achievement directly as well as indirectly through the mediating roles of science value and self-confidence. Data were obtained from Grade 8 Saudi students (N = 4,099) who participated in TIMSS 2007. The relationships among constructs were examined with the use of structural equation modeling software Mplus7. Results indicated that both models performed adequately in terms of fit indices, but the partial-mediation model was retained due to its superiority over the full-mediation model in representing the sample covariance matrix as tested through chi-square difference test. The mediating role of self-confidence in the relationships of science attitude and active learning to achievement was substantiated, but the mediating role of science value was not supported.     

Understanding mathematics achievement: an analysis of the effects of student and family factors

Educators are increasingly recognising the importance of improving students’ mathematics achievement. Much of the current research focuses on the impact of instructional variables on mathematics achievement. The goal of this study was to examine the influence of less researched variables – family and student factors. Participants were 747 economically disadvantaged elementary students grades K-8 in Ohio. Predictor variables included: (a) 13 factors from a parent survey on both child and family circumstances and (b) reading achievement, measured by a norm-referenced achievement test. Outcome variables included three mathematics scales from the same achievement test. Regression analyses examined the impact of the predictors on the outcomes. Reading achievement significantly predicted mathematics achievement for all three outcomes. Parent pessimism and parent-perceived school/cognitive competence of children also emerged as significant predictors for two of the three mathematics outcomes. Implications for research, policy and practice will be shared.     

The importance of motivation as a predictor of school achievement

The present study examined to which extent different motivational concepts contribute to the prediction of school achievement among adolescent students independently from intelligence. A sample of 342 11th and 12th graders (age M = 16.94; SD = .71) was investigated. Students gave self-reports on domain-specific values, ability self-perceptions, goals, and achievement motives. Hierarchical regression and relative weights analyses were performed with grades in math and German as dependent variables and intelligence as well as motivational measures as independent variables. Beyond intelligence, different motivational constructs incrementally contributed to the prediction of school achievement. Domain-specific ability self-perceptions and values showed the highest increments whereas achievement motives and goal orientations explained less additional variance. Even when prior achievement was controlled, some motivational concepts still proved to contribute to the prediction of subsequent performance. In the light of these findings, we discuss the importance of motivation in educational contexts.     

Principals and student outcomes: Evidence from U.S. high schools

This paper presents an empirical analysis of the effects of principals on public high school students' academic achievement, using High School and Beyond. Despite policy relevance, previous qualitative and quantitative research provides little systematic evidence on principal effects, at least for high schools. Principal characteristics and variables designed to capture less tangible aspects of the principal's role are included in educational production functions. The results suggest principals do have a measurable impact on student achievement, through the selection of teachers and setting of academically oriented school goals.     

Cognitive and perceptual measures as predictors of fourth-grade achievement

This study used a multivariate approach and longitudinal design to examine the relationship of early perceptual and cognitive development to later school achievement. The extent to which a set of 4th-grade achievement measures could be predicted from a set of variables collected when the students were in first grade was determined through a series of canonical and multiple correlation analyses. These results were compared to results of an earlier phase of the study. Similarities between the two phases indicated that: (a) A measure of visual perception added significantly to the prediction of achievement afforded by consideration of sex and academic aptitude. (b) The variables used to predict achievement may differ somewhat between boys and girls. (c) The usefulness of sex as a predictor of school achievement depends upon the specific achievement area under consideration. Differences in the two phases involved the extent to which sex was a predictor of a specific achievement area.     

Ethnic-Specific Achievement in Dutch Higher Education

This study investigates the extent to which ethnic-specific differences occur in higher education and the underlying factors behind them. The research sample was made up of about 7,000 students at universities in the Netherlands. The authors established that ethnic-specific differ ences in achievement do indeed exist, even after background variables such as sex have been corrected. Structural modeling shows that prior education, financial (income) factors, and effort have a significant impact on study success.     

Learning Microbiology with Computer Simulations: students’ academic achievement by method and gender

Tenth grade students studied the topic of ‘The growth curve of microorganisms’, which included a computer‐assisted learning (CAL) simulation episode. The CAL episode enabled students to simulate experiments which investigated the simultaneous impact of three independent variables upon the growth curve of microorganisms (temperature, nutrient concentration and the initial number of individuals from which to start a population growth). Two classes (n = 82 students) formed the experimental group and were instructed in a combination of classroom‐laboratory work with CAL. The control group included three classes (n = 99 students) who were taught the topic in the classroom‐laboratory work setting only. Five teachers taught the five classes, three periods weekly and the study lasted 4 weeks. The students’ previous knowledge in the topic to be learned and their academic achievement were assessed with pre‐ and post‐tests, respectively. The data for each lest were treated with a two‐way analysis of variance. The results showed that the two study groups did not differ in their previous knowledge and no significant differences were found by gender within and between the groups. The post‐test results on academic achievement indicated that students in the experimental group achieved significantly higher means scores than the control group. No significant gender differences on academic achievement were found within each group. The results affirm that: (a) computer simulations, in which three variables are manipulated simultaneously in one experiment, can be integrated as short episodes in the existing biology curricula; (b) high school students can perform computer simulations which require the skills of simultaneous manipulations of three variables in one experiment, problem solving and decision making; (c) girls and boys in the experimental group exhibited these skills at a similar academic level of achievement.     

Rural and Urban Differences in Student Achievement in Science and Mathematics: A Multilevel Analysis

Recent educational research has demonstrated rural/urban differences in achievement and success in higher education. However, in order to assess the rural school's impact on student outcomes, rural/urban comparisons must be made after accounting for student background variables. Researchers have begun to question the generalisability of the effective school model for urban, suburban, and rural schools, given substantial differences in their social and organisational environments (Hannaway & Talbert, 1993). The purpose of this research study was to examine differences in student achievement between rural and urban schools in Western Australia, after controlling for student background variables. By using multilevel modelling techniques, this study demonstrated that the location of the school had a significant effect upon student achievement, with students attending rural schools not performing as well as students from urban schools.     

Does homework design matter? The role of homework's purpose in student mathematics achievement

This study used a randomized pretest–posttest clustered design to examine the effect of 3 homework purposes (i.e., practice, preparation, and extension) on 6th graders' mathematics achievement and how this relationship was modulated by the amount of completed homework. A total of 27 mathematics teachers and their 638 students participated in this study. Once a week for six weeks, the teachers assigned tasks that had a specific type of homework purpose according to their treatment condition. At the end of the six weeks, the students completed a non-standardized mathematics achievement test. The results of multilevel modeling showed that after controlling for student characteristics and class-level variables, extension homework positively impacted students' mathematics achievement, while practice and preparation homework did not. These findings were not related to the amount of homework that was completed by the students. The findings highlighted the importance of the teacher's role in the first phase of the homework process (i.e., designing homework with a specific purpose) and provide important data for teachers and school administrators to reflect upon when conducting actual homework practices.     

Gifted Chinese girls get the best mix of family processes to bolster their math achievement

This chapter describes three studies with samples of 5th- and 6th-grade students (781 gifted and 895 nongifted) enrolled in elementary schools in Taipei, Taiwan. Two of the studies analyzed the effects of SES, family structure variables, family processes, math self-concept, and prior ability on children's math achievement; the third concerned a qualitative study of 95 gifted children and their parents. The results of these studies show tha SES variables influence family processes in a number of important ways. Better educated families administer less pressure and more support, and both processes contribute to children's achievement. Another important findings is that Chinese traditions moderate the parents use of specific family processes. Girls enrolled in typical classes perceive less parental pressure, less support, less help, and less intellectual resources. In a sense, these girls are academically neglected, but this does not hurt their math achievement because they do not perceive as much dysfunctional pressure and help from their parents. Gifted girls get the best mix of parental influences and academic opportunities.     

Neo-piagetian predictors of achievement in physical science

This article examines the predictive value of the cognitive variables of developmental level, mental capacity, cognitive style, short-term storage space, and numerical inductive reasoning for student achievement in college science. Achievement was analyzed for each of the categories of pure recall, computational, complex items, and total score of a midterm exam as well as for the composite score on a final exam. The sample for this study consisted of a class of 32 nonscience majors enrolled in Physical Science I at the University of Southern Mississippi. The results showed that developmental level was the single best predictor of achievement. Short-term storage space and mental capacity were significant predictors of achievement for computational and complex items, but, as expected from theoretical considerations, not for pure recall items. The degree of field dependence did not well predict performance on pure recall or computational items. The results also indicate that mental capacity and field dependence do not contribute significantly to the variance if developmental level is held constant. The pattern of the predictive power of numerical inductive reasoning parallels, in magnitude, that of mental capacity. The results of this study and its implications indicate that the construct of short-term storage space has great potential to guide classroom practice and the development of instructional materials. A strategy is outlined that would guide curriculum planners and classroom teachers in the development of materials which would allow students to develop complex problem-solving behaviors.     

Inclusion of pupils perceived as experiencing social and emotional behavioural difficulties (SEBD): affordances and constraints

This paper takes as its principal theme barriers to the inclusion of pupils perceived as experiencing social and emotional behavioural difficulties (SEBD) and how these might be overcome. It draws upon an evaluative case study of an initiative, devised by the author, to support pupils – the Support Group Initiative (SGI) – which was conducted over a five‐year period in a Scottish Secondary School situated in an area of multiple deprivation. The central focus of the discussion is the range of variables that impacted upon pupil outcomes, illustrating the ways in which these variables acted as affordances or constraints in the pursuit of inclusive practice. The paper takes as its starting point the contested nature of inclusion and introduces, briefly, the Scottish policy context as it pertains to inclusion before exploring the nature of the problem – the barriers to the inclusion of and the difficulties presented by the inclusion of pupils perceived as having SEBD, as discussed in the literature. The findings of the study are discussed in relation to central themes – the ethos of the Support Group; the process of re‐signification through which pupils are enabled to effect improvement; the classroom context; and wider variables relating to school policy, practice, ethos and the management of change. The paper concludes by exploring what inclusion has meant to the pupils involved within the intervention, summarising the affordances and constraints to its realisation, before reflecting upon the significance of the study.     

Differentiation of Learning Processes within Ability Groups

This paper describes a mediational model for conceptualising the relationship between individual differences and academic achievement and presents the results of a study concerning some predictions of that model. According to this model, intervening or mediating variables mediate between stable personological traits (e.g. mental abilities) and task performance. Mediating variables are thus transitory and situation‐specific to some degree, and in academic tasks, are represented by the learning process complex, which consists of motives and strategies for learning. The mediational model predicts that students’ information processing abilities will help determine the number and the nature of learning processes differentiated within the learning process complex. Results conform to the model's predictions, indicating that (1) as students’ processing abilities increase, they show greater learning process differentiation and (2) for students intermediate in differentiation, the learning processes that do emerge are dependent upon which processing abilities they possess. These results are discussed with respect to their implication for the mediation model and for strategy instruction.     

Differentiation of Learning Processes within Ability Groups

This paper describes a mediational model for conceptualising the relationship between individual differences and academic achievement and presents the results of a study concerning some predictions of that model. According to this model, intervening or mediating variables mediate between stable personological traits (e.g. mental abilities) and task performance. Mediating variables are thus transitory and situation‐specific to some degree, and in academic tasks, are represented by the learning process complex, which consists of motives and strategies for learning. The mediational model predicts that students’ information processing abilities will help determine the number and the nature of learning processes differentiated within the learning process complex. Results conform to the model's predictions, indicating that (1) as students’ processing abilities increase, they show greater learning process differentiation and (2) for students intermediate in differentiation, the learning processes that do emerge are dependent upon which processing abilities they possess. These results are discussed with respect to their implication for the mediation model and for strategy instruction.     

Student engagement and classroom variables in improving mathematics achievement

The study explored how much student engagement and classroom variables predicted student achievement in mathematics. Since students were nested within a classroom, hierarchical linear modeling (HLM) was employed for the analysis. The results indicated that student engagement had positive effects on student academic growth per month in math after taking into account student variables such as gender, SES, race, and interaction effects. The effects of student engagement are consistent regardless of minority and gender. Among classroom level variables such as teachers’ degree, experience, certification, authentic instruction, content coverage, and class size, there is no significant predictor of student math achievement growth. The findings suggest that student engagement should be emphasized in a school and educational policy for students’ success in a school.     

A well-rounded view: Using an interpersonal approach to predict achievement by academic self-concept and peer ratings of competence

Academic self-concept is a prominent construct in educational psychology that predicts future achievement. Similarly, peer ratings of competence predict future achievement as well. Yet do self-concept ratings have predictive value over and above peer ratings of competence? In this study, the interpersonal approach (Kwan, John, Kenny, Bond, & Robins, 2004) was applied to academic self-concept. The interpersonal approach decomposes the variance in self-concept ratings into a “method” part that is due to the student as the rater (perceiver effect), a shared “trait” part that is due to the student’s perceived achievement (target effect), and an idiosyncratic self-view (self-enhancement). In a round-robin design of competence ratings in which each student in a class rated every classmate’s competence, a total of 2,094 school students in 89 classes in two age cohorts rated their own math competence and the math competence of their classmates. Three main results emerged. First, self-concept ratings and peer ratings of competence had a substantial overlap in variance. Second, the shared “trait” part of the competence ratings was highly correlated with achievement and predicted gains in achievement. Third, the idiosyncratic self-view had a small positive association with (future) achievement. Altogether, this study introduces the interpersonal approach as a general framework for studying academic self-concept and peer ratings of competence in an integrated way.     

Developing teacher assessment skills: The impact of the dynamic approach to teacher professional development

This study investigates the extent to which the Dynamic Approach (DA) to Teacher Professional Development (TPD) can help teachers develop their assessment skills and through that contribute to the improvement of student learning outcomes. To achieve this aim, a multi-treatment group randomisation study was conducted to compare the impact of the DA with the impact of the Competency-Based Approach (CBA) on developing assessment skills and promoting student learning outcomes. Assessment skills of 178 teachers and achievement of their students (n = 2358) were measured before and after the intervention. The DA had greater impact on teacher assessment skills and student learning outcomes than the CBA. Differential effects were also identified since differences in the impact of each approach were only identified for teachers who were situated at higher stages of assessment skills. Implications of findings for research, policy and practice are drawn.     

The identification and evaluation of exemplar intensity in the classroom teaching and learning of concepts

The teaching and learning of concepts in the social studies classroom have been recognized as critically important. Numerous models for this type of instruction are available to teachers, and these models generally follow a similar pattern or format. They have all been built on a sound research base. However, these models are perceived as assuming “exemplar equivalence” which simply means that they assume all positive exemplars of a particular concept are equally useful as teaching or evaluating tools. This project sought to establish an affective concept exemplar variable called exemplar intensity, a characteristic that would challenge the notion of equivalence by its impact on cognitive gain. Evaluation of this variable was the focus of the study. The variable exemplar intensity was developed along the lines of the paradigm used by R. D. Tennyson and R. C. Boutwell (1971, NSPI Journal, 10, 5–10) for their concept of difficulty. During the course of the investigation, ratings for intensity were determined and compared to difficulty to assure that these were two separate and independent variables. Once that had been established, two lessons differing in their exemplar intensity were designed. One contained high-intensity positive exemplars, and one had low-intensity positive exemplars. A control which had no instruction whatsoever helped determine that the two lessons had indeed caused learning to take place, but no differences between the two lessons were found. Thus, the hypothesis that the high-intensity exemplars would increase the cognitive achievement of learners above that of those receiving low-intensity exemplars was not supported. Exemplar intensity does not affect learning of concepts. During the course of the study, data were gathered that allowed a comparison between the use of the instructional model advocated by the author and the use of the definition alone. There was substantial evidence supporting the traditional notion that use of the model results in higher achievement than use of the definition alone.     

Identifying affective domains that correlate and predict mathematics performance in high-performing students in Singapore

Past studies have shown that distinct yet highly correlated sub-constructs of three broad mathematics affective variables: (a) motivation, (b) attitudes and (c) anxiety, have varying degree of correlation with mathematics achievement. The sub-constructs of these three affective constructs are as follows: (a) (i) amotivation, (ii) external regulation, (iii) introjection, (iv) identification, (v) intrinsic motivation; (b) (i) enjoyment of mathematics, (ii) self-confidence in mathematics, (iii) perceived value of mathematics; (c) (i) anxiety with mathematics and (ii) ease with mathematics. This study identifies, both within and across these three affective variables, the key sub-constructs that educators should focus upon when selecting learning process variables for mathematics achievement. Results were analysed using a series of stepwise regression analyses using data from 1018 Grade 12 students enrolled in a top pre-tertiary institution in Singapore, both for concurrent and predictive relationships, and also for both genders. Results of this study showed that after taking into account self-confidence in mathematics and ease with mathematics, all other sub-constructs of mathematics motivation, attitudes and anxiety were not significantly correlated with mathematics achievement. This is true for both concurrent and predictive relationships, and for both genders. Implications of the results of this study are twofold. First, results of this study provide educators with priority affective variables to focus upon in their efforts to enhance performance in mathematics via the affective domain. Second, in situations where administration time is limited, it may be possible to consider only self-confidence and ease with mathematics when investigating relationships between affect and mathematics achievement.