Motivation and Learning Strategies for College Success: A Self-Management Approach (original) (raw)

Motivational regulation strategies, academic self-concept, and cognitive learning strategies of university students: does academic self-concept play an interactive role?

European Journal of Psychology of Education, 2021

The present study aimed to examine the specific relations between five motivational regulation strategies (i.e., interest enhancement, environmental control, self-consequating, performance self-talk, mastery self-talk), academic self-concept, and three cognitive learning strategies (i.e., organization, elaboration, rehearsal) of 415 university students. A total of n = 238 students were in the first year of their university program, while n = 178 students were in the mid-term of their university program. Results of correlation analysis revealed that all five motivational regulation strategies were positively related to the three cognitive learning strategies. In contrast, regression analysis showed that organization was only significantly linked to interest enhancement, self-consequating, and performance self-talk, while elaboration was only significantly linked to self-consequating, and rehearsal was only significantly linked to interest enhancement and performance self-talk. Academ...

Exploring Motivational Beliefs and Self-Regulated Learning Strategies in Learning among Undergraduates

International Journal of Academic Research in Business & Social Sciences, 2023

The massive unplanned transition from traditional learning to an exclusively online learning setup, and then back to face-to-face classrooms resulted in students' learning strategies and motivations. Within this context, the present study aimed to explore perception of learners who have had the experience of this transition, on their learning strategies. This is specifically to identify how the learners' motivational beliefs and self-regulated learning strategies influence their learning process. This quantitative study is derived from a conceptual framework from Pintrich & DeGroot (1990), in which it is believed that learners who employ self-regulated strategies are known to practise some factors of motivational beliefs. The sample of this study consists of 51 Part 2 and Part 3 ESL undergraduates in a public university. The data was attained from an online survey questionnaire consisting of 4 sections, mainly on motivational beliefs and self-regulated beliefs. The instrument used is a 5-point Likert-scale survey, rooted from Pintrich & DeGroot (1990) to obtain the variables. From the findings, it can be concluded that the learning strategies from students of the post-Covid-19 pandemic are highly influenced by motivational beliefs and self-regulated learning strategies among diploma students. This can be seen by the high mean scores from the suggested Pintrich & DeGroot (1990) framework, which includes motivational factors such as (i) self-efficacy, (ii)intrinsic value and (iii) test anxiety. These factors indirectly influence their self-regulated learning strategies in terms of (i) cognitive strategy use, and (ii) self-regulation. From these findings, interventions to improve students' academic performance should focus not only on boosting their motivation but also on enhancing their self-regulated learning strategies.

University students profiles of self-regulated learning and motivation

Estudos de Psicologia (Campinas), 2020

The aim of the study was to identify students’ self-regulation through learning strategies adoption in connection with motivation. A sample of 212 freshmen students answered a Likert-type questionnaire with the aim to assess learning strategies, mastery achievement goal, extrinsic goals, procrastination, and discipline valuation. Strategy use consisted in a specific task of writing a text. A person-centered approach was adopted according to the statistical data and four self-regulation clusters were identified, namely, highly self-regulated students, low regulation students, and two clusters with mixed scores. Through variance analysis mastery achievement goal appeared significantly associated only with thehighly self-regulated students cluster. Results were discussed in the framework of a self-regulated learning model and achievement goals theory. Finally, future investigations on other specific learning activities were proposed.

Self-Regulated Learning as a Critical Attribute for Successful Teaching and Learning

International Journal for the Scholarship of Teaching and Learning

The purpose of this scholarship of teaching and learning was to define and assess the level of self-regulation skills undergraduate students possess. Participants completed the Motivated Strategies for Learning Questionnaire (MSLQ). Through the analysis of the MSLQ, students reported having high expectations for themselves. Yet, students were found to not use cognitive learning skills and self-regulation practices consistently, which suggests a low level of self-regulation. Subsequently, students exhibit maladaptive and counterproductive behaviors like procrastination and disengagement. From this exploratory study a number of future studies were identified that have the potential for increasing the level of self-regulation in higher education.

Classroom Academic Performance Based on Motivational and Self Regulating Learning Factors

In every educational institution, success is measured by academic performance. Intelligence and education is not the only key to success, much effort is made to identify, evaluate, and encourage the progress of students. The motivation and self-regulated learning of students is an essential issue in higher education, particularly due to significance of academic performance in their professional life. In this research we have studied the effect of motivational and self regulating factors on class room academic performance. We consider two main independent factors motivation and self Regulation & Learning Abilities and then we consider sub-factors of motivation that are self efficacy, intrinsic value and test anxiety, and sub-factors for self regulation are cognitive strategy, self regulation. The main purpose is to examine the relationship between motivational and self-regulated learning components Also we want to study that which factor is playing a role for clusters of below averag...

Self-Regulation in Higher Education: Students’ Motivational, Regulational and Learning Strategies, and Their Relationships to Study Success

Studies for the Learning Society 3, Issue 1-2 (Jan 2013)

This study investigates how in the self-regulation of learning (SRL; Pintrich 2000; Zimmerman, 2000), the motivational and affective factors are related to regulation strategies of behaviour and context, and learning strategies - and identifies different profiles in SRL. The study also aims to explore which factors of SRL are related to study success and study progress during master degree studies. The data consist of undergraduate students’ (N = 1248) responses to IQ Learn self-report questionnaires, and of data (n = 229) retrieved from the university’s study register. The results revealed that the sub-processes of SRL: motivational and affective components, regulation strategies and learning strategies are systematically related with each other. In addition, motivational and affective factors, especially Intrinsic motivation predicted the use of strategies regulating behaviour and context and the use of learning strategies. Study success correlated slightly positively with accumulation of credits indicating that students with better grades proceed efficiently in their studies. Yet, accumulation of credits was evidenced to relate slightly and negatively with expectancy components of SRL and the use of deep learning strategies. Finally, three student profiles in SRL were encountered: (1) Aiming high with insufficient SRL, (2) Excellent in SRL, and (3) Distressed performers. Educational implications and the needs for future research are discussed.

Motivational and Self Regulated Learning Components of Academic Performance

2010

This investigation is concerned with the examination of cognitive, motivational and emotional components of learning strategies and with the ways in which combinations of those dimensions, are associated with academic achievement. Recent models of self-regulated learning stress the importance of integrating both motivational and cognitive components of learning (Garcia & Pintrich, 1994; Pintrich, 1994; Pintrich & Schrauben, 1992).The purpose of this study was twofold: first to gather psychometric information regarding the Learning and Study Strategies Inventory (LASSI) in Italian sample and second to analyze the relationship between student's academic performance and scales of Lassi. Data were provided by 412 italian university students from 2 faculties: education and physical science. First results showed acceptable psychometric properties of Lassi and suggested a two factor model. Regression analyses revealed that Motivation, Organization and Self-Evaluation emerged as the best predictors of academic performance. These first results showed the importance of reflecting critically upon various aspects influencing the use of adequate self-regulation strategies.