A Conceptual Framework for Assessing Motivation and Self-Regulated Learning in College Students

A conceptual framework for assessing student motivation and self-regulated learning in the college classroom is presented. The framework is based on a self-regulatory (SRL) perspective on student motivation and learning in contrast to a student approaches to learning (SAL) perspective. The differences between SRL and SAL approaches are discussed, as are the implications of the SRL conceptual framework for developing instruments to assess college student motivation and learning. The conceptual framework may be useful in guiding future research on college student motivation and learning.     

Future time orientation and learning conceptions: effects on metacognitive strategies,self-efficacy beliefs,study effort and academic achievement

During the past decade, research on the constructive learning process has been conducted mainly from two perspectives: student approaches to learning (SAL) and self-regulated learning (SRL). The SAL perspective has highlighted the role of learning conceptions with respect to other topics involved in constructive learning processes, whereas recently the SAL perspective has emphasised the effects of the future time perspective (FTP) and self-efficacy beliefs about these topics. Based on these two lines of research (SRL and SAL), using path analysis, we explored the direct and indirect effects of FTP and learning conceptions on self-efficacy, metacognitive strategies, effort and academic performance. Likewise, we identified some patterns that combine specific factors related to these variables. Participants in the present study were 100 (84% females, 16% males) Spanish fourth year university students enrolled in the Social Sciences Degree Programme. The ages of the students ranged from 18 to 49 (M = 22.02; SD = 3.68) and their participation was voluntary and anonymous. Likert-scale inventories were used to obtain data from students: FTP; learning conceptions; metacognitive strategies scale; and self-efficacy beliefs for SAL. On the one hand, the path analysis showed interesting indirect and direct relationships between topics with regard to key constructs of each of these research perspectives (SRL/SAL). However, these results do not coincide with the body of knowledge about FTP. On the other hand, results obtained using cluster and discriminant analysis revealed three specific patterns: a meaning orientation to learning and the future, a reproductive orientation to learning and the present, and an unusual pattern explained by the influence of historical-cultural characteristics on learning practices in educational contexts. We consider that this last pattern presents relevant implications for educational practice.     

Aspects and Prospects of Measuring Studying and Learning in Higher Education

The development of two dominant research traditions is described: students' approaches to learning (SAL) and information processing (IP). The development of the third tradition, self-regulated learning (SRL) is added. SAL is based on European research, whereas IP and SRL are more typical background ideas for North-American research. The most central conceptual frameworks behind these traditions are analyzed. These frameworks form the foundations for the most common inventories used in higher education to measure university students' learning and studying. A larger multilayered perspective is then outlined with three levels of context: general, course-specific, and situational. The other contributions to this Special issue are discussed in relation to this larger picture.     

Occurrences and quality of teacher and student strategies for self-regulated learning in hands-on simulations

For many decades, teacher-structured hands-on simulations have been used in education mainly for developing procedural and technical skills. Stimulating contemporary learning outcomes suggests more constructivist approaches. The aim of this study is to examine how self-regulated learning (SRL), an important constructivist learning environment characteristic, is expressed in hands-on simulations. Via structured observations of teachers’ SRL promoting strategies and students’ SRL strategies in eight hands-on simulations, along the three phases of SRL, this study is the first to expose whether students and teachers use SRL in hands-on simulations, what these strategies look like and what their quality is. The results show that both students and teachers demonstrate SRL behaviour in the forethought, performance and reflection phase to some extent, but that they vary considerably in their occurrences, form and quality and provide opportunities for improvement. For example, teacher strategies ‘modelling’ and ‘scaffolding’ were often used, while ‘giving attribution feedback’ and ‘evaluation’ were lacking. The student strategy ‘proposing methods for task performance’ was used regularly, while ‘goal-setting’ and ‘self-monitoring’ were often absent. An overview shows exemplary teacher and student behaviours in the SRL phases with lower, medium and higher quality in hands-on simulations.     

Transcultural analysis of the effectiveness of a program to promote self-regulated learning in Mozambique,Chile, Portugal,and Spain

The current investigation aims at assessing the effectiveness of an intervention program designed to enhance self-regulated learning (SRL) strategies at the university level, with students from different cultural, linguistic, and educational backgrounds. The central tool of the program is a set of letters in which a fictional first-year student describes his experiences as an SRL student. The program was implemented in four universities in different countries and continents (Portugal, Spain, Chile, and Mozambique), with an experimental group and a comparison group at each university (263 students from experimental groups and 247 from comparison groups). Findings display the effectiveness of the program in enhancing a set of motivational variables related to the study process and the use of SRL strategies. Data were consistent across the different cultural and academic contexts in which the program was implemented. The implications of these findings for university administrators and faculty are discussed.     

“Practising what we preach”—teacher educators’ dilemmas in promoting self-regulated learning: a cross case comparison

Teacher educators, as mentors involved in developing student–teacher learning, encounter increasing demands to promote self-regulated learning (SRL) in their students. This study investigated how teacher educators are committed to promoting SRL in their students, as well as how they promote their own professional development as self-regulated learners, which may (or may not) mirror the way they support SRL in their students.In both the Israeli and Dutch teacher education contexts, the study investigated how teacher educators conceptualize SRL and what they mean by actively utilizing SRL approaches, both as a framework for their own professional development and as a way to involve their students in self-directed learning.The study notes several professional dilemmas teacher educators face with respect to SRL. These dilemmas seem to be connected to their underlying conceptions of teaching and learning, as well as the demands of the setting in which they teach. Furthermore, what teacher educators themselves are doing in terms of SRL does not align with what they are teaching others to do; this divergence was the case in the Dutch context more than in the Israeli context. As such, teacher educators struggled with both learning to use SRL approaches themselves, and teaching their students to use them.     

Leveraging complexity frameworks to refine theories of engagement: Advancing self-regulated learning in the age of artificial intelligence

Capturing evidence for dynamic changes in self-regulated learning (SRL) behaviours resulting from interventions is challenging for researchers. In the current study, we identified students who were likely to do poorly in a biology course and those who were likely to do well. Then, we randomly assigned a portion of the students predicted to perform poorly to a science of learning to learn intervention where they were taught SRL study strategies. Learning outcome and log data (257 K events) were collected from n = 226 students. We used a complex systems framework to model the differences in SRL including the amount, interrelatedness, density and regularity of engagement captured in digital trace data (ie, logs). Differences were compared between students who were predicted to (1) perform poorly (control, n = 48), (2) perform poorly and received intervention (treatment, n = 95) and (3) perform well (not flagged, n = 83). Results indicated that the regularity of students' engagement was predictive of course grade, and that the intervention group exhibited increased regularity in engagement over the control group immediately after the intervention and maintained that increase over the course of the semester. We discuss the implications of these findings in relation to the future of artificial intelligence and potential uses for monitoring student learning in online environments.

Practitioner notes

What is already known about this topic

• Self-regulated learning (SRL) knowledge and skills are strong predictors of postsecondary STEM student success.
• SRL is a dynamic, temporal process that leads to purposeful student engagement.
• Methods and metrics for measuring dynamic SRL behaviours in learning contexts are needed.

What this paper adds

• A Markov process for measuring dynamic SRL processes using log data.
• Evidence that dynamic, interaction-dominant aspects of SRL predict student achievement.
• Evidence that SRL processes can be meaningfully impacted through educational intervention.

Implications for theory and practice

• Complexity approaches inform theory and measurement of dynamic SRL processes.
• Static representations of dynamic SRL processes are promising learning analytics metrics.
• Engineered features of LMS usage are valuable contributions to AI models.

     

Using learning analytics to explore self-regulated learning in flipped blended learning music teacher education

Blended learning (BL) is a popular e-Learning model in higher education that has the potential to take advantage of learning analytics (LA) to support student learning. This study utilized LA to investigate fourth-year undergraduates' (n = 157) use of self-regulated learning (SRL) within the online components of a previously unexamined BL discipline, Music Teacher Education. SRL behaviors were captured unobtrusively in real time through students' interaction with course materials in Moodle. Categorized by function: (1) activating—online access location, day-of-the-week, time-of-day; (2) sustaining—online frequency; and (3) structuring—online regularity and exam review patterns, all six SRL behaviors were revealed to have weak to moderate significant relationships with academic achievement. Results indicated access day-of-the-week and access frequency as the strongest predictors for student success. Findings regarding access regularity when viewed through results from previous SRL-LA research may suggest the importance of this SRL behavior for successful students within several BL discipline areas. In addition, the role of learning design (eg, flipped instruction) in potentially scaffolding students' choices toward specific SRL behaviors, was revealed as an important context for future researchers' consideration.     

Students’ self-worth protection and approaches to learning in higher education: predictors and consequences

The aim of this study was to test a process model of students’ learning in higher education, linking anxiety, course experience (positive and negative), self-worth protection (SWP) (self-handicapping, defensive expectations, reflectivity), student approach to learning (SAL) (deep/surface), and achievement. Path and bootstrap analyses of data from 899 first-year university students showed that anxiety significantly predicted all SWP strategies and that positive course experience negatively predicted defensive expectations, whereas negative course experience was linked to higher levels of self-handicapping and reflectivity. Deep approach was linked negatively to self-handicapping and positively to reflectivity, whereas surface approach was associated positively with both self-handicapping and defensive expectations. Finally, deep approach positively predicted achievement and partially mediated the effect of self-handicapping on achievement. These findings support the validity of linking SWP with SAL and demonstrate meaningful connections between these and the anxiety and course experience of students. Implications for theory and practice are discussed.     

Investigating Flipped Learning: Student Self-Regulated Learning,Perceptions, and Achievement in an Introductory Biology Course

In flipped classrooms, lectures, which are normally delivered in-class, are assigned as homework in the form of videos, and assignments that were traditionally assigned as homework, are done as learning activities in class. It was hypothesized that the effectiveness of the flipped model hinges on a student’s desire and ability to adopt a self-directed learning style. The purpose of this study was twofold; it aimed at examining the relationship between two variables—students’ perceptions of the flipped model and their self-regulated learning (SRL) behaviors—and the impact that these variables have on achievement in a flipped class. For the study, 76 participants from a flipped introductory biology course were asked about their SRL strategy use and perceptions of the flipped model. SRL strategy use was measured using a modified version of the Motivated Strategies for Learning Questionnaire (MSLQ; Wolters et al. 2005), while the flipped perceptions survey was newly derived. Student letter grades were collected as a measure of achievement. Through regression analysis, it was found that students’ perceptions of the flipped model positively predict students’ use of several types of SRL strategies. However, the data did not indicate a relationship between student perceptions and achievement, neither directly nor indirectly, through SRL strategy use. Results suggest that flipped classrooms demonstrate their successes in the active learning sessions through constructivist teaching methods. Video lectures hold an important role in flipped classes, however, students may need to practice SRL skills to become more self-directed and effectively learn from them.     

Self-regulated learning: the role of motivation,emotion, and use of learning strategies in students’ learning experiences in a self-paced online mathematics course

Enrollment in online remedial mathematics courses has increased in popularity in institutions of higher learning; however, students unskilled in self-regulated learning (SRL) find online remedial mathematics courses particularly challenging. We investigated the role of SRL, specifically motivation, emotion, and learning strategies, in students’ learning experiences in a remedial online mathematics course. With an online survey of 229 college students, we found that student motivation explained a small portion of variance in achievement; whereas student motivation and emotion explained a significant portion of variance in satisfaction. In addition, significant differences in motivation and emotion were found in passing and nonpassing students; however, learning strategies did not influence student achievement and satisfaction. Implications for teaching and learning in self-paced online remedial mathematics courses are discussed.     

Higher education students’ learning challenges and regulatory skills in different learning situations / Desafíos de aprendizaje y habilidades de regulación en distintas situaciones de aprendizaje en estudiantes de educación superior

First-year higher education (HE) students experience different challenges during their studies. These challenging learning situations can trigger self-regulated learning (SRL) skills, which students use to handle these situations. Thus, the aim of this study is to investigate (a) first-year HE students’ cognitive, motivational and emotional challenges experienced in both individual and collaborative learning situations and (b) the relationship between SRL skills and experienced learning challenges. Participants included 107 first-year pre-service teachers. Data consisted of students’ self-reports via (a) open-ended answers on a challenge questionnaire and (b) Likert-scale items from MSLQ and MRS questionnaires. Based on students’ SRL profiles, differential effects on the challenging experiences were investigated. The results show that different aspects related to students’ cognition, motivation, emotions and well-being were challenging for students. Also, connections were found between students’ SRL skills and the types of experienced learning challenges. Students with high SRL reported fewer learning challenges related to motivational aspects and more challenges related to cognitive aspects than students with low SRL.     

Comments on Winne: Analytic and systemic research are both needed

Winne made a case for closer examination of an expanded definition of feedback and student monitoring in the context of controlled experiments. His efforts should lead to a more refined definition of this complex student aptitude, and new ways to index self-regulation as it pertains to academic studying. A basic research agenda is clearly one direction in which future research on self-regulated learning (SRL) needs to go. There is another direction in which future research ought to move concurrently to complement the basic science agenda that Winne articulated. Examples of two systemic investigations of SRL are described in this commentary.     

Students’ approaches to learning in problem-based learning: Taking into account professional behavior in the tutorial groups,self-study time,and different assessment aspects

Problem-based learning (PBL) represents a major development in higher educational practice and is believed to promote deep learning in students. However, empirical findings on the promotion of deep learning in PBL remain unclear. The aim of the present study is to investigate the relationships between students’ approaches to learning (SAL) and academic achievement in a PBL environment, taking into account the role of self-study time and students’ professional behavior in the PBL tutorial groups. In addition, different knowledge categories that determine achievement (i.e., understanding of concepts, understanding of the principles that link concepts, and the linking of concepts and principles to conditions and procedures for application) were taken into account. A hypothesized structural equation model including these variables was tested. Results showed that the PBL students in this study reported more use of a surface compared to a deep approach to learning. The hypothesized model demonstrated an excellent fit of the model with the data. The relationship between SAL and academic achievement was mediated by self-study time and professional behavior. These findings imply that self-study time and professional behavior are crucial variables to take into account when studying SAL.     

The role of social identification as university student in learning: relationships between students’ social identity,approaches to learning,and academic achievement

This article describes research exploring the relationship between students’ self-perceptions in the context of university learning (i.e. student social identity), their approaches to learning, and academic achievement. The exploration of these inter-related aspects requires a mix of theoretical approaches, that is, in this research both social identity perspective from social psychology and the student learning research framework are used to explore student identity and learning in the context of higher education. Two structural equation models drawing on both these theoretical frameworks were tested. In the first of these models, deep approaches to learning are positively associated with students’ social identification as university student and positively predict academic achievement. In the second model, surface approaches to learning are negatively associated with students’ social identification and negatively predict academic achievement. The mediational roles of deep and surface approaches to learning in the relationship between student social identity and academic achievement are also explored.     

The challenge of promoting self-regulated learning among primary school children with a low socioeconomic and immigrant background

The authors explore the effects of student tutoring as an approach to provide support on self-regulated learning (SRL) to fifth- and sixth-grade students with a low socioeconomic or immigrant background. In total, 401 Flemish (Belgium) students participated. A quasi-experimental study with pretest, posttest, and retention test control group design was used, combining teacher ratings, self-report questionnaires, and think-aloud protocols. The teacher rating results show a significantly positive effect from pretest to posttest for the experimental condition, but this was not maintained at the retention test. The questionnaire and think-aloud results reveal no significant effects on students’ SRL. However, differential effects depending on students’ motivational profile were found. This study illustrates the complexity of promoting SRL among primary school children with a low socioeconomic or immigrant background, recommending further research into conditions and factors influencing the effectiveness of student tutoring programs promoting SRL.     

Designing for interaction,thinking and academic achievement in a Tanzanian undergraduate chemistry course

Virtual learning environments are used in higher education around the world to promote student learning. However, in many countries it has not yielded the expected effect on student interaction and learning. The purpose of this study was to investigate whether the use of certain pedagogical approaches would promote student interaction, higher-order thinking and achievement. 102 undergraduate students taking an introductory chemistry course at a Tanzanian university participated in the study, and were randomly assigned to three groups. Each group first studied one topic using the control design (non-interactive learning, NIL) to establish a baseline. Then each group studied three further topics using different pedagogical approaches (NIL), discussion forums (medium interactive learning) and podcasts (highly interactive learning). Data included interviews, subject tests, and the content of online discussion forums. All qualitative data were coded, and repeated-measures ANOVA was used to analyze within design and between design effects; student interaction patterns were analyzed using social network analysis. Results show that social interaction, academic achievement and thinking improved progressively over the three topics (iterations) in each design. The changes in instructor pedagogical strategies and the actions of students to bring what they had learned from podcasts to the learning community contributed to the marked improvement. We conclude that effective use of discussion forums in higher education in Tanzania can produce important learning effects (interaction, thinking, and enhanced academic achievement) and is a low-bandwidth strategy, but coupling podcasts with discussion forums may be a powerful way to enhance the effects.