Showing papers on "Academic achievement published in 2013"

Theories of Self-Regulated Learning and Academic Achievement: An Overview and Analysis

Abstract: Theory and research on self-regulated academic learning emerged in the mid1980s to address the question of how students become masters of their own learning processes. Neither a mental ability nor an academic performance skill, self-regulation refers instead to the self-directive process through which learners transform their mental abilities into task-related academic skills. This approach views learning as an activity that students do for themselves in a proactive way, rather than as a covert event that happens to them reactively as a result of teaching experiences. Self-regulated learning (SRL) theory and research are not limited to asocial forms of education, such as discovery learning, self-education through reading, studying, programmed instruction, or computer-assisted instruction, but can include social forms of learning such as modeling, guidance, and feedback from peers, coaches, and teachers. The key issue defining learning as self-regulated is not whether it is socially isolated, but rather whether the learner displays personal initiative, perseverance, and adaptive skill in pursuing it. In this initial chapter, I discuss self-regulation theories as a distinctive approach to academic learning and instruction historically and then identify their common features. Finally, I briefly introduce and compare seven prominent theoretical perspectives on self-regulated learning-operant, phenomenological, information processing, social cognitive, volitional, Vygotskian, and cognitive constructivist approaches-in terms of those common features. In the chapters that follow, each theoretical perspective is discussed at length by prominent researchers who have used it to guide their research and instruction.

How Teacher Turnover Harms Student Achievement

Abstract: Researchers and policymakers often assume that teacher turnover harms student achievement, though recent studies suggest this may not be the case Using a unique identification strategy that employs school-by-grade level turnover and two classes of fixed-effects models, this study estimates the effects of teacher turnover on over 850,000 New York City fourth- and fifth-grade student observations over 8 years The results indicate that students in grade levels with higher turnover score lower in both English language arts (ELA) and math and that these effects are particularly strong in schools with more low-performing and Black students Moreover, the results suggest that there is a disruptive effect of turnover beyond changing the distribution in teacher quality

Professional Competence of Teachers: Effects on Instructional Quality and Student Development

Abstract: This study investigates teachers’ pedagogical content knowledge, professional beliefs, work-related motivation, and self-regulation as aspects of their professional competence. Specifically, it examines how these aspects impact instruction and, in turn, student outcomes. In a nationally representative sample of 194 German secondary school mathematics classes, multiple measures were used to assess teacher competence, instructional quality, and students’ achievement and motivation. The effect of teachers’ professional competence on student outcomes was estimated in a 1-year repeated-measures design. Two-level structural equation models revealed positive effects of teachers’ pedagogical content knowledge, enthusiasm for teaching, and self-regulatory skills on instructional quality, which in turn affected student outcomes. In contrast, teachers’ general academic ability did not affect their instruction. The multidimensional model of teachers’ professional competence introduced in this article seems suited to stimulate further research on the personal indicators of teacher quality.

Flipping the classroom and instructional technology integration in a college-level information systems spreadsheet course

Abstract: The purpose of this research was to explore how technology can be used to teach technological skills and to determine what benefit flipping the classroom might have for students taking an introductory-level college course on spreadsheets in terms of student achievement and satisfaction with the class. A pretest posttest quasi-experimental mixed methods design was utilized to determine any differences in student achievement that might be associated with the instructional approach being used. In addition, the scalability of each approach was evaluated along with students’ perceptions of these approaches to determine the affect each intervention might have on a student’s motivation to learn. The simulation-based instruction tested in this study was found to be an extremely scalable solution but less effective than the regular classroom and flipped classroom approaches in terms of student learning. While students did demonstrate learning gains, the process focus of the simulation’s instruction and assessments frustrated students and decreased their motivation to learn. Students’ attitudes towards the topic, their willingness to refer the course to others, and the likelihood that they would take another course like this were considerably lower than those of students in the flipped or regular classroom situations. The results of this study support the conclusion that a technology enhanced flipped classroom was both effective and scalable; it better facilitated learning than the simulation-based training and students found this approach to be more motivating in that it allowed for greater differentiation of instruction.

Mind-Sets Matter: A Meta-Analytic Review of Implicit Theories and Self-Regulation.

Abstract: This review builds on self-control theory (Carver & Scheier, 1998) to develop a theoretical framework for investigating associations of implicit theories with self-regulation. This framework conceptualizes self-regulation in terms of 3 crucial processes: goal setting, goal operating, and goal monitoring. In this meta-analysis, we included articles that reported a quantifiable assessment of implicit theories and at least 1 self-regulatory process or outcome. With a random effects approach used, meta-analytic results (total unique N = 28,217; k = 113) across diverse achievement domains (68% academic) and populations (age range = 5-42; 10 different nationalities; 58% from United States; 44% female) demonstrated that implicit theories predict distinct self-regulatory processes, which, in turn, predict goal achievement. Incremental theories, which, in contrast to entity theories, are characterized by the belief that human attributes are malleable rather than fixed, significantly predicted goal setting (performance goals, r = -.151; learning goals, r = .187), goal operating (helpless-oriented strategies, r = -.238; mastery-oriented strategies, r = .227), and goal monitoring (negative emotions, r = -.233; expectations, r = .157). The effects for goal setting and goal operating were stronger in the presence (vs. absence) of ego threats such as failure feedback. Discussion emphasizes how the present theoretical analysis merges an implicit theory perspective with self-control theory to advance scholarship and unlock major new directions for basic and applied research.

Interpreting the Early Language Trajectories of Children From Low-SES and Language Minority Homes: Implications for Closing Achievement Gaps

Abstract: On average, children from low socioeconomic status (SES) homes and children from homes in which a language other than English is spoken have language development trajectories that are different from those of children from middle-class, monolingual English-speaking homes. Children from low-SES and language minority homes have unique linguistic strengths, but many reach school age with lower levels of English language skill than do middle-class, monolingual children. Because early differences in English oral languageskill have consequences for academic achievement, low levels of English language skill constitute a deficit for children about to enter school in the United States. Declaring all developmental trajectories to be equally valid would not change the robust relation between English oral language skills and academic achievement and would not help children with poor English skills to be successful in school. Remedies aimed at supporting the development of the English skills required for academic success need not and should not entail devaluing or diminishing children’s other language skills.

Teaching Adolescents To Become Learners The Role of Noncognitive Factors in Shaping School Performance: A Critical Literature Review

Abstract: Research (CCSR) conducts research of high technical quality that can inform and assess policy and practice in the Chicago Public Schools. We seek to expand communication among researchers, policymakers, and practitioners as we support the search for solutions to the problems of school reform. CCSR encourages the use of research in policy action and improvement of practice, but does not argue for particular policies or programs. Rather, we help to build capacity for school reform by identifying what matters for student success and school improvement, creating critical indicators to chart progress, and conducting theory-driven evaluation to identify how programs and policies are working.

Enduring Links From Childhood Mathematics and Reading Achievement to Adult Socioeconomic Status

Abstract: Understanding the determinants of socioeconomic status (SES) is an important economic and social goal. Several major influences on SES are known, yet much of the variance in SES remains unexplained. In a large, population-representative sample from the United Kingdom, we tested the effects of mathematics and reading achievement at age 7 on attained SES by age 42. Mathematics and reading ability both had substantial positive associations with adult SES, above and beyond the effects of SES at birth, and with other important factors, such as intelligence. Achievement in mathematics and reading was also significantly associated with intelligence scores, academic motivation, and duration of education. These findings suggest effects of improved early mathematics and reading on SES attainment across the life span.

How motivation affects academic performance: a structural equation modelling analysis

Abstract: Few studies in medical education have studied effect of quality of motivation on performance. Self-Determination Theory based on quality of motivation differentiates between Autonomous Motivation (AM) that originates within an individual and Controlled Motivation (CM) that originates from external sources. To determine whether Relative Autonomous Motivation (RAM, a measure of the balance between AM and CM) affects academic performance through good study strategy and higher study effort and compare this model between subgroups: males and females; students selected via two different systems namely qualitative and weighted lottery selection. Data on motivation, study strategy and effort was collected from 383 medical students of VU University Medical Center Amsterdam and their academic performance results were obtained from the student administration. Structural Equation Modelling analysis technique was used to test a hypothesized model in which high RAM would positively affect Good Study Strategy (GSS) and study effort, which in turn would positively affect academic performance in the form of grade point averages. This model fit well with the data, Chi square = 1.095, df = 3, p = 0.778, RMSEA model fit = 0.000. This model also fitted well for all tested subgroups of students. Differences were found in the strength of relationships between the variables for the different subgroups as expected. In conclusion, RAM positively correlated with academic performance through deep strategy towards study and higher study effort. This model seems valid in medical education in subgroups such as males, females, students selected by qualitative and weighted lottery selection.

The Widening Income Achievement Gap.

Abstract: Historically, low-income students as a group have performed less well than high-income students on most measures of academic success—including standardized test scores, grades, high school completion rates, and college enrollment and completion rates. Countless studies have documented these disparities and investigated the many underlying reasons for them. But no research had systematically investigated whether these incomerelated achievement gaps have narrowed or widened over time.

A meta-analysis of the efficacy of teaching mathematics with concrete manipulatives

Abstract: The use of manipulatives to teach mathematics is often prescribed as an efficacious teaching strategy. To examine the empirical evidence regarding the use of manipulatives during mathematics instruction, we conducted a systematic search of the literature. This search identified 55 studies that compared instruction with manipulatives to a control condition where math instruction was provided with only abstract math symbols. The sample of studies included students from kindergarten to college level (N = 7,237). Statistically significant results were identified with small to moderate effect sizes, as measured by Cohen's d, in favor of the use of manipulatives when compared with instruction that only used abstract math symbols. However, the relationship between teaching mathematics with concrete manipulatives and student learning was moderated by both instructional and methodological characteristics of the studies. Additionally, separate analyses conducted for specific learning outcomes of retention (k = 53, N = 7,140), problem solving (k = 9, N = 477), transfer (k = 13, N = 3,453), and justification (k = 2, N = 109) revealed moderate to large effects on retention and small effects on problem solving, transfer, and justification in favor of using manipulatives over abstract math symbols.

Observations of Effective Teacher–Student Interactions in Secondary School Classrooms: Predicting Student Achievement With the Classroom Assessment Scoring System—Secondary

Abstract: Multilevel modeling techniques were used with a sample of 643 students enrolled in 37 secondary school classrooms to predict future student achievement (controlling for baseline achievement) from observed teacher interactions with students in the classroom, coded using the Classroom Assessment Scoring System-Secondary. After accounting for prior year test performance, qualities of teacher interactions with students predicted student performance on end-of-year standardized achievement tests. Classrooms characterized by a positive emotional climate, with sensitivity to adolescent needs and perspectives, use of diverse and engaging instructional learning formats, and a focus on analysis and problem solving were associated with higher levels of student achievement. Effects of higher quality teacher-student interactions were greatest in classrooms with fewer students. Implications for teacher performance assessment and teacher effects on achievement are discussed.

Student Perceptions and Achievement in a University Blended Learning Strategic Initiative.

Abstract: Examined in this study is the relationship between student perceptions in blended learning courses and their in-course achievement The research was conducted at a large urban university that embarked on a major initiative to scale-up blended learning across its campus Student perceptions (N = 577) were assessed in four areas deemed important to the university: overall satisfaction with blended learning, convenience afforded by blended learning, sense of engagement in their blended course, and views on learning outcomes Final course grade was the dependent variable and cumulative grade point average was the covariate in an ANCOVA design A remarkably strong relationship was found between perceptions and grades Compared with low achieving students, high achievers were the most satisfied with their blended course, would take one again, and preferred the blended format more over fully face-to-face or online High achievers also found blended courses more convenient, more engaging, and they felt that they learn key course concepts better than in other traditional face-to-face courses they have taken An implication of the study is that low achievers may not be able to cope with the blended environment as well their high achieving peers Therefore, when scaling up blended learning institutions may want to consider offering students a choice of whether to enroll in blended or fully face-to-face course sections where feasible, especially in subject areas that students find difficult

Effective Instructional Time Use for School Leaders: Longitudinal Evidence From Observations of Principals

Abstract: Scholars have long argued that principals should be instructional leaders, but few studies have empirically linked specific instructional leadership behaviors to school performance. This study examines the associations between leadership behaviors and student achievement gains using a unique data source: in-person, full-day observations of approximately 100 urban principals collected over 3 school years. We find that principals’ time spent broadly on instructional functions does not predict student achievement growth. Aggregating across leadership behaviors, however, masks that some specific instructional investments predict year-to-year gains. In particular, time spent on teacher coaching, evaluation, and developing the school’s educational program predict positive achievement gains. In contrast, time spent on informal classroom walkthroughs negatively predicts student growth, particularly in high schools. Additional survey and interview evidence suggests this negative association may arise because princ...

Deflecting the trajectory and changing the narrative: how self-affirmation affects academic performance and motivation under identity threat.

Abstract: To the extent that stereotype and identity threat undermine academic performance, social psychological interventions that lessen threat could buffer threatened students and improve performance. Two studies, each featuring a longitudinal field experiment in a mixed-ethnicity middle school, examined whether a values affirmation writing exercise could attenuate the achievement gap between Latino American and European American students. In Study 1, students completed multiple self-affirmation (or control) activities as part of their regular class assignments. Latino American students, the identity threatened group, earned higher grades in the affirmation than control condition, whereas White students were unaffected. The effects persisted 3 years and, for many students, continued into high school by lifting their performance trajectory. Study 2 featured daily diaries to examine how the affirmation affected psychology under identity threat, with the expectation that it would shape students’ narratives of their ongoing academic experience. By conferring a big-picture focus, affirmation was expected to broaden construals, prevent daily adversity from being experienced as identity threat, and insulate academic motivation from identity threat. Indeed, affirmed Latino American students not only earned higher grades than nonaffirmed Latino American students but also construed events at a more abstract than concrete level and were less likely to have their daily feelings of academic fit and motivation undermined by identity threat. Discussion centers on how social-psychological processes propagate themselves over time and how timely interventions targeting these processes can promote well-being and achievement.

The Influence of Teachers’ Knowledge on Student Learning in Middle School Physical Science Classrooms

Abstract: This study examines the relationship between teacher knowledge and student learning for 9,556 students of 181 middle school physical science teachers. Assessment instruments based on the National Science Education Standards with 20 items in common were administered several times during the school year to both students and their teachers. For items that had a very popular wrong answer, the teachers who could identify this misconception had larger classroom gains, much larger than if the teachers knew only the correct answer. On items on which students did not exhibit misconceptions, teacher subject matter knowledge alone accounted for higher student gains. This finding suggests that a teacher’s ability to identify students’ most common wrong answer on multiple-choice items, a form of pedagogical content knowledge, is an additional measure of science teacher competence.

Predicting student academic performance in an engineering dynamics course: A comparison of four types of predictive mathematical models

Abstract: Predicting student academic performance has long been an important research topic in many academic disciplines. The present study is the first study that develops and compares four types of mathematical models to predict student academic performance in engineering dynamics - a high-enrollment, high-impact, and core course that many engineering undergraduates are required to take. The four types of mathematical models include the multiple linear regression model, the multilayer perception network model, the radial basis function network model, and the support vector machine model. The inputs (i.e., predictor variables) of the models include student's cumulative GPA, grades earned in four pre-requisite courses (statics, calculus I, calculus II, and physics), and scores on three dynamics mid-term exams (i.e., the exams given to students during the semester and before the final exam). The output of the models is students' scores on the dynamics final comprehensive exam. A total of 2907 data points were collected from 323 undergraduates in four semesters. Based on the four types of mathematical models and six different combinations of predictor variables, a total of 24 predictive mathematical models were developed from the present study. The analysis reveals that the type of mathematical model has only a slight effect on the average prediction accuracy (APA, which indicates on average how well a model predicts the final exam scores of all students in the dynamics course) and on the percentage of accurate predictions (PAP, which is calculated as the number of accurate predictions divided by the total number of predictions). The combination of predictor variables has only a slight effect on the APA, but a profound effect on the PAP. In general, the support vector machine models have the highest PAP as compared to the other three types of mathematical models. The research findings from the present study imply that if the goal of the instructor is to predict the average academic performance of his/her dynamics class as a whole, the instructor should choose the simplest mathematical model, which is the multiple linear regression model, with student's cumulative GPA as the only predictor variable. Adding more predictor variables does not help improve the average prediction accuracy of any mathematical model. However, if the goal of the instructor is to predict the academic performance of individual students, the instructor should use the support vector machine model with the first six predictor variables as the inputs of the model, because this particular predictor combination increases the percentage of accurate predictions, and most importantly, allows sufficient time for the instructor to implement subsequent educational interventions to improve student learning.

The Effect of Negative School Climate on Academic Outcomes for LGBT Youth and the Role of In-School Supports

Abstract: For many lesbian, gay, bisexual, and transgender (LGBT) youth, intolerance and prejudice make school a hostile and dangerous place. This study examined simultaneously the effects of a negative school climate on achievement and the role that school-based supports—safe school policies, supportive school personnel, and gay–straight alliance (GSA) clubs—may have in offsetting these effects. Data were drawn from a survey of a diverse sample of 5,730 LGBT youths who had attended secondary schools in the United States. Results from structural equation modeling showed that victimization contributed to lower academic outcomes and lower self-esteem; however, school-based supports contributed to lower victimization and better academic outcomes. Moderating effects of supports on esteem and academic outcomes were also examined through hierarchical linear regression. Results suggested that a hostile school climate has serious ramifications for LGBT students but institutional supports can play a significant role in maki...

Young Adult Educational and Vocational Outcomes of Children Diagnosed with ADHD.

Abstract: Decreased success at work and educational attainment by adulthood are of concern for children with ADHD given their widely documented academic difficulties; however there are few studies that have examined this empirically and even fewer that have studied predictors and individual variability of these outcomes. The current study compares young adults with and without a childhood diagnosis of ADHD on educational and occupational outcomes and the predictors of these outcomes. Participants were from the Pittsburgh ADHD Longitudinal Study (PALS), a prospective study with yearly data collection. Significant group differences were found for nearly all variables such that educational and occupational attainment was lower for adults with compared to adults without histories of childhood ADHD. Despite the mean difference, educational functioning was wide-ranging. High school academic achievement significantly predicted enrollment in post-high school education and academic and disciplinary problems mediated the relationship between childhood ADHD and post-high school education. Interestingly, ADHD diagnosis and disciplinary problems negatively predicted occupational status while enrollment in post-high school education was a positive predictor. Job loss was positively predicted by a higher rate of academic problems and diagnosis of ADHD. This study supports the need for interventions that target the child and adolescent predictors of later educational and occupational outcomes in addition to continuing treatment of ADHD in young adulthood targeting developmentally appropriate milestones, such as completing post-high school education and gaining and maintaining stable employment.

Self-regulation in online learning

Abstract: The purpose of this study was to examine the role of goal orientation and academic self-efficacy in student achievement mediated by effort regulation, metacognitive regulation, and interaction regulation in an online course. The results show that intrinsic goal orientation and academic self-efficacy predicted students’ metacognitive self-regulation; however, extrinsic goal orientation did not predict any type of regulation. Effort regulation and the amount of time spent in Blackboard predicted students’ academic achievement in the course, and interaction regulation predicted the amount of time spent in the online course. Results show the importance of individual students’ intrinsic goal orientation and academic self-efficacy in academic achievement. Discussion relates to current research and implications for online teaching and learning practice.

Using learning analytics to predict (and improve) student success: a faculty perspective

Abstract: Learning analytics is receiving increased attention, in part because it offers to assist educational institutions in increasing student retention, improving student success, and easing the burden of accountability. Although these large-scale issues are worthy of consideration, faculty might also be interested in how they can use learning analytics in their own courses to help their students succeed. In this paper, we define learning analytics, how it has been used in educational institutions, what learning analytics tools are available, and how faculty can make use of data in their courses to monitor and predict student performance. Finally, we discuss several issues and concerns with the use of learning analytics in higher education.

Sustaining Optimal Motivation: A Longitudinal Analysis of Interventions to Broaden Participation of Underrepresented Students in STEM.

Abstract: The underrepresentation of racial minorities and women in science, technology, engineering, and mathematics (STEM) disciplines is a national concern. Goal theory provides a useful framework from which to understand issues of underrepresentation. We followed a large sample of high-achieving African American and Latino undergraduates in STEM disciplines attending 38 institutions of higher education in the United States over 3 academic years. We report on the science-related environmental factors and person factors that influence the longitudinal regulation of goal orientations. Further, we examine how goal orientations in turn influence distal academic outcomes such as performance and persistence in STEM. Using SEM-based parallel process latent growth curve modeling, we found that (a) engagement in undergraduate research was the only factor that buffered underrepresented students against an increase in performance-avoidance goals over time; (b) growth in scientific self-identity exhibited a strong positive effect on growth in task and performance-approach goals over time; (c) only task goals positively influenced students' cumulative grade point average, over and above baseline grade point average; and (d) performance-avoidance goals predicted student attrition from the STEM pipeline. We discuss the implications of these findings for underrepresented students in STEM disciplines.

Development of school engagement in association with academic success and well-being in varying social contexts: A review of empirical research.

Abstract: This review examines the development of students’ engagement with school and how it may contribute to future academic success and individual well-being in different social contexts. The review discusses the two main approaches of school engagement research: one examines students’ behavioral, cognitive, and affective engagement (North American approach), while the other examines study-related vigor, absorption, and dedication (European approach). This research shows that a high level of school engagement is positively associated with academic success, and negatively associated with students’ ill-being, such as depressive symptoms and burnout. High engagement with school also fosters several aspects of students’ well-being, such as positive emotions and life satisfaction. Moreover, several contextual factors, including parental affect, teachers’ support, and a mastery-oriented atmosphere in the classroom, promote students’ engagement with school.