Using Self-Monitoring of Performance With Self-Graphing to Increase Academic Productivity in Math

2017 ◽  
Vol 26 (2) ◽  
pp. 57-65 ◽  
Author(s):  
Jenny C. Wells ◽  
Patricia H. Sheehey ◽  
Michael Sheehey
Keyword(s):  
Academic Performance ◽  
Mathematics Teaching ◽  
Self Regulation ◽  
Important Predictor ◽  
Academic Productivity ◽  
Self Monitoring ◽  
Achievement In Mathematics ◽  
Math Proficiency

Self-regulation skills have been found to be an important predictor of achievement in mathematics. Teaching a student to regulate his or her behavior during independent math work sessions using self-monitoring of performance with self-graphing focuses him or her on academic performance and results in increases in productivity and math proficiency. This article describes the process of designing and implementing this intervention.

scholarly journals A Mediating Model of Emotional Balance and Procrastination on Academic Performance

2021 ◽  
Vol 12 ◽  
Author(s):  
Pierluigi Diotaiuti ◽  
Giuseppe Valente ◽  
Stefania Mancone ◽  
Fernando Bellizzi
Keyword(s):  
Academic Performance ◽  
Time Management ◽  
Emotional Regulation ◽  
Self Regulation ◽  
Emotional Awareness ◽  
Action Orientation ◽  
Self Monitoring ◽  
Major Predictor ◽  
And Performance ◽  
Emotional Balance

Deficit in the management of time continues to be an important difficulty students are faced with. The present work aimed to test the hypothesis that self-regulation is the major predictor of academic performance and that this effect can be mediated both by the student’s emotional regulation and his propensity for procrastination. Participants were 450 university students who were administered MPP and AIP. The procedures involved the administration of instruments and the collection of average exam grades as a measure of academic performance. The effect of a specific component of self-regulation on academic performance, namely action orientation, was significant, while procrastination showed a limiting effect on the performative quality of the student. The model confirmed the mediation role of emotional balance on the effect that action orientation exerts on procrastination, and the mediation of procrastination in the relationship between action orientation and Academic Performance. Results of the study suggest focusing on student support and on prevention of procrastinating behavior through programs that enhance first of all student’s proactive attitude, planning skills, self-monitoring and effective/efficient time management, and secondly, emotional awareness and regulation of emotional response in situations of stress and performance anxiety.

Predictors of College Success: A Comparison of Traditional and Nontraditional Age Students

NASPA Journal ◽  
2000 ◽  
Vol 38 (1) ◽  
Author(s):  
Tam M. Spitzer
Keyword(s):  
Social Support ◽  
Academic Performance ◽  
Career Development ◽  
Nontraditional Students ◽  
College Success ◽  
Self Regulation ◽  
Full Time ◽  
Academic Efficacy ◽  
Career Decidedness ◽  
Traditional Age

Traditional (age 23 and under) and nontraditional (age 25 and over) full-time undergraduates were assessed on five personal dimensions, two learning dimensions, and two collegiate goals (GPA and career decidedness). Multiple regression assessed which dimensions predicted the two collegiate goals. Significant predictors were generally the same for both traditional and nontraditional students. Academic efficacy, self-regulation, and social support were positive predictors of GPA. Career decisionmaking self-efficacy and social support were positive predictors of career decidedness. Nontraditional students and females had higher GPAs and greater decidedness. Academic performance and career development were seen as concurrent but largely separate processes.

Practicing Academic Independence: Self-Regulation Strategies for Students with Emotional and Behavioral Disorders

2021 ◽  
pp. 107429562110206
Author(s):  
Michele L. Moohr ◽  
Kinga Balint-Langel ◽  
Jonté C. Taylor ◽  
Karen L. Rizzo
Keyword(s):  
Behavioral Disorders ◽  
Cognitive Skills ◽  
Emotional And Behavioral Disorders ◽  
Self Regulation ◽  
Strategy Instruction ◽  
Strategy Development ◽  
Academic Learning ◽  
Self Monitoring ◽  
Regulation Strategies ◽  
And Behavior

The term self-regulation (SR) refers to a set of specific cognitive skills necessary for students to independently manage, monitor, and assess their own academic learning and behavior. Students with and at risk for emotional and behavioral disorders (EBD) often lack these skills. This article provides educators with step-by-step procedures and information on three research- or evidence-based SR strategies they can implement in their classrooms: self-regulated strategy development, self-monitoring, and strategy instruction.

Motivation Matters: Three Strategies to Support Motivation and Engagement in Mathematics

2021 ◽  
pp. 105345122199480
Author(s):  
Stephanie Morano ◽  
Andrew M. Markelz ◽  
Kathleen M. Randolph ◽  
Anna Moriah Myers ◽  
Naomi Church
Keyword(s):  
Academic Success ◽  
Students With Disabilities ◽  
Mathematics Classroom ◽  
Self Regulation ◽  
Token Economy ◽  
Self Monitoring ◽  
High Preference ◽  
Motivation And Engagement ◽  
Behavior Specific Praise ◽  
Attentive Behavior

Motivation and engagement in mathematics are important for academic success and are sometimes compromised in students with disabilities who have experienced a history of frustration and failure. This article explains how general and special education teachers can implement three research-supported strategies for boosting motivation and engagement for elementary students with or at risk of emotional and behavioral disorders (EBD) in the mathematics classroom. The strategies include (a) reinforcing engagement and motivation in mathematics using behavior-specific praise and token economy systems; (b) teaching self-monitoring and self-regulation strategies to promote attentive behavior and academic achievement; and (c) using the high-preference strategy to build behavioral momentum and support completion of nonpreferred tasks.

scholarly journals The Role of Mental Effort in Fostering Self-Regulated Learning with Problem-Solving Tasks

2020 ◽  
Vol 32 (4) ◽  
pp. 1055-1072 ◽  
Author(s):  
Tamara van Gog ◽  
Vincent Hoogerheide ◽  
Milou van Harsel
Keyword(s):  
Problem Solving ◽  
Self Regulation ◽  
Mental Effort ◽  
Future Research ◽  
Task Sequence ◽  
Self Monitoring ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
And Mathematics

Abstract Problem-solving tasks form the backbone of STEM (science, technology, engineering, and mathematics) curricula. Yet, how to improve self-monitoring and self-regulation when learning to solve problems has received relatively little attention in the self-regulated learning literature (as compared with, for instance, learning lists of items or learning from expository texts). Here, we review research on fostering self-regulated learning of problem-solving tasks, in which mental effort plays an important role. First, we review research showing that having students engage in effortful, generative learning activities while learning to solve problems can provide them with cues that help them improve self-monitoring and self-regulation at an item level (i.e., determining whether or not a certain type of problem needs further study/practice). Second, we turn to self-monitoring and self-regulation at the task sequence level (i.e., determining what an appropriate next problem-solving task would be given the current level of understanding/performance). We review research showing that teaching students to regulate their learning process by taking into account not only their performance but also their invested mental effort on a prior task when selecting a new task improves self-regulated learning outcomes (i.e., performance on a knowledge test in the domain of the study). Important directions for future research on the role of mental effort in (improving) self-monitoring and self-regulation at the item and task selection levels are discussed after the respective sections.

Learning Goal Orientation and Academic Performance: A Dynamic model

2021 ◽  
pp. 106907272110434
Author(s):  
Bingjie Lu ◽  
Yingxin Deng ◽  
Xiang Yao ◽  
Zhe Li
Keyword(s):  
Academic Performance ◽  
University Students ◽  
Goal Orientation ◽  
Self Efficacy ◽  
Self Regulation ◽  
Regulation System ◽  
Feedback Seeking ◽  
Learning Goal ◽  
Learning Goal Orientation ◽  
Academic Self Efficacy

Drawing on the reciprocal determinism of self-regulation system, a process-based model is used to examine the relationship of learning goal orientation (LGO) among university students with their academic performance, via reciprocal relationships between initial status and change trajectories in academic self-efficacy and feedback-seeking behaviors. A longitudinal study of 316 Chinese university students throughout their first year in college reveals that students who have high LGO in their first month after entering the university generally have higher academic self-efficacy and seek more feedback. Moreover, initial levels of feedback seeking are positively related to academic performance via linear change in academic self-efficacy over time. Limitations of the study and practical implications are discussed.

Training autonomous managers for a dynamic environment

2018 ◽  
Vol 32 (4) ◽  
pp. 719-731
Author(s):  
M. Valle Santos ◽  
Rosa M. Mayoral
Keyword(s):  
Academic Performance ◽  
Evaluation System ◽  
Teaching Strategy ◽  
Self Regulation ◽  
Dynamic Environment ◽  
Motivational Orientation ◽  
Self Directed Learning ◽  
Content Type ◽  
The Impact ◽  
The Evaluation System

PurposeThe purpose of this paper is to explore self-regulated learning among university students, the role played by motivation and its impact on academic performance. This paper presents a teaching strategy aimed at self-regulation which draws on the educational value provided by the evaluation system.Design/methodology/approachThis research includes a quantitative analysis to examine the dependency relation between self-regulation, motivational orientation and academic performance. The impact of the teaching strategy on the relation between self-regulation and academic performance is also explored.FindingsThe findings indicate that self-regulation is closely linked to motivational orientation and is a determining factor in academic performance. In addition, implementing a teaching strategy focussing on self-regulation alters said relation.Practical implicationsThis research reflects the value of fostering the level of student self-regulation with a view to enhancing not only their current learning, but also the self-directed learning that will ensure professional success. The research also evidences the potential of the evaluation system for encouraging the development of self-regulation.Originality/valueThe conclusions to emerge from this research will help educators gain an awareness of the usefulness of strengthening student self-regulation and the potential offered by the evaluation system as a teaching resource. This research also merges extremely interesting elements – student self-regulation and the evaluation system – which to date have not been explored jointly.

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