Development Of Self-regulated Learning Research Articles

Empowering ChatGPT with guidance mechanism in blended learning: effect of self-regulated learning, higher-order thinking skills, and knowledge construction

In the evolving landscape of higher education, challenges such as the COVID-19 pandemic have underscored the necessity for innovative teaching methodologies. These challenges have catalyzed the integration of technology into education, particularly in blended learning environments, to bolster self-regulated learning (SRL) and higher-order thinking skills (HOTS). However, increased autonomy in blended learning can lead to learning disruptions if issues are not promptly addressed. In this context, OpenAI's ChatGPT, known for its extensive knowledge base and immediate feedback capability, emerges as a significant educational resource. Nonetheless, there are concerns that students might become excessively dependent on such tools, potentially hindering their development of HOTS. To address these concerns, this study introduces the Guidance-based ChatGPT-assisted Learning Aid (GCLA). This approach modifies the use of ChatGPT in educational settings by encouraging students to attempt problem-solving independently before seeking ChatGPT assistance. When engaged, the GCLA provides guidance through hints rather than direct answers, fostering an environment conducive to the development of SRL and HOTS. A randomized controlled trial (RCT) was employed to examine the impact of the GCLA compared to traditional ChatGPT use in a foundational chemistry course within a blended learning setting. This study involved 61 undergraduate students from a university in Taiwan. The findings reveal that the GCLA enhances SRL, HOTS, and knowledge construction compared to traditional ChatGPT use. These results directly align with the research objective to improve learning outcomes through providing guidance rather than answers by ChatGPT. In conclusion, the introduction of the GCLA has not only facilitated more effective learning experiences in blended learning environments but also ensured that students engage more actively in their educational journey. The implications of this study highlight the potential of ChatGPT-based tools in enhancing the quality of higher education, particularly in fostering essential skills such as self-regulation and HOTS. Furthermore, this research offers insights regarding the more effective use of ChatGPT in education.

Effects of adaptive feedback through a digital tool – a mixed-methods study on the course of self-regulated learning

AbstractLifelong learning is emerging as a key priority for promoting equity and sustainability in societies. Self-regulated learning (SRL) is a fundamental requirement for achieving successful lifelong learning, and digitization is increasingly influential in this regard. This mixed-methods study explores the degree to which adaptive learning technology (ALT) can assist university students in their SRL with timely and personalized support. Additionally, the study examines how students perceive this feedback and incorporate it into their learning behavior. Using hierarchical linear modeling, we investigated the development of SRL over a 9-week period. Semi-structured interviews were conducted with purposively selected learners, based on stimulated recalls. The quantitative results demonstrate positive development in certain components of SRL. Furthermore, the results indicate that metacognitive activity can be partially predicted by motivational and emotional states. The qualitative findings reveal that learners have varying perceptions of feedback received from ALT and integrate it into their learning behaviors based on their individual benefits. The results support the assumption that feedback provided through educational technology must be precisely tailored to the needs of learners, taking into account the dynamics of their individual learning processes. The study contributes to the ongoing discussion on the design of educational technology.

The impact of a Personal Learning Environment on Chinese postgraduates’ online self-regulated learning skills / Impacto de un Entorno Personal de Aprendizaje en las aptitudes de aprendizaje autorregulado en línea de estudiantes de posgrado en China

This study investigated the impact of Personal Learning Environments (PLE) on the development of self-regulated learning (SRL) skills among postgraduate learners in China. 213 participants, divided into an experimental group ( n = 113) using a researcher-designed PLE platform and a control group ( n = 100) employing face-to-face instruction, joined a course on International English Language Testing Systems (IELTS). A mixed-methods approach was adopted, utilizing the Online Self-Regulated Learning Questionnaire (OSLQ) to explore SRL experiences, and weekly goal-achievement reports. Results demonstrated improvement in SRL skills in both groups, with the experimental group exhibiting significantly greater gains. Quantitative and qualitative results revealed that participants excelled in goal fulfillment but struggled with time management, help-seeking and self-evaluation skills. The study confirmed the positive influence of the PLE on postgraduates’ SRL skills, with implications for online learning design and the potential for PLEs to effectively promote SRL skills in online learning contexts.

Enacting control with student dashboards: The role of motivation

AbstractBackgroundEven though monitoring and control enactment are key aspects of self‐regulated learning (SRL), Adaptive learning technologies (ALTs) may reduce the need for learners to monitor and control their learning. Personalized dashboards are effective in supporting learners' monitoring and can potentially support control behaviour. Allowing learners to enact control over their learning process, seems to hold potential for increasing their motivation.ObjectivesTherefore, this study's aim was to investigate the relation between control enactment and motivation. We examined how learners enacted control while learning with an ALT with personalized dashboards and examined the relation between learners' enactment of control and their motivation.MethodsSeventy‐eight primary school learners (Grade 5) participated. During the lesson, learners worked on mathematics in the ALT and concurrently were shown personalized visualizations that supported monitoring and enacting control over their learning process. Learners could enact control to change problems' difficulty to easy, medium, or hard. Motivation was measured before and after learning.ResultsThe SEM analyses showed that how learners enacted control was related to their motivation. Choosing difficult problems was related to more enjoyment and competence while choosing easy problems related to more pressure and tension. Learners who complied with the suggested difficulty level experienced less choice, but also less pressure/tension and more enjoyment and competence.ConclusionsThese results provide avenues to account for broader learner characteristics like SRL and motivation to optimize learning. This way, hybrid systems in which control enactment is a shared responsibility of the system and learner, can be improved to support SRL development.

Examining teacher candidates’ self-determined motivation to develop self-regulated learning promoting practices

The development of self-regulated learning leads to positive academic, social, and emotional outcomes for learners. For many educators, teaching towards self-regulated learning is challenging. This study investigated contextual and motivational features within teacher education programs that support or hinder teacher candidates' motivation to development self-regulated learning practices. Zimmerman's model of self-regulated learning (2008), along with Perry, Hutchinson, and Thauberger’s (2008) descriptions of self-regulated learning practices and Ryan and Deci's (2017) self-determination theory informed this process. Codes and categories drawn from interviews, documents, and in-class observations and reported upon in previously published work was analyzed to identify themes that are supportive or constraining of teacher candidates' motivation to develop practices that foster self-regulated learning in the classroom. Results reveal five themes: (a) opportunities for teacher candidates to see their school mentors' formation of classroom participation structures, (b) the provision of freedom for teacher candidates to experiment with practices along with in-situ scaffold support, (c) adequate support for teacher candidates to integrate self-regulated learning content into their practice, (d) teacher candidates' perceptions of alignment across their learning experiences, and (e) adequate time and support for teacher candidates to establish relationships in their practicum settings.

A Human-Centered Learning and Teaching Framework Using Generative Artificial Intelligence for Self-Regulated Learning Development Through Domain Knowledge Learning in K–12 Settings

A Human-Centered Learning and Teaching Framework Using Generative Artificial Intelligence for Self-Regulated Learning Development Through Domain Knowledge Learning in K–12 Settings

Research And Development Of Self-Regulated Learning (SRL)-Based E-Module On Student Independence In History Learning

Research And Development Of Self-Regulated Learning (SRL)-Based E-Module On Student Independence In History Learning

The use of M-learning to foster the development of self-regulated learning in university students: A systematic review

The rapid development of mobile technologies and their price decrease have enabled mobile devices to become ubiquitous. Both lecturers and students are integrating mobile technologies into teaching and learning. The continuous global innovation in emerging mobile technologies and their ever-increasing overlap with the lives of students and lecturers in Higher Education Institutions (HEIs) have thrust Mlearning and self-regulated learning into prominence. Accordingly, this review analyses conference proceedings and national and international journals on the potential of M-learning for fostering self-regulated learning. To select relevant sources, a systematic literature review approach was employed. This study fills gaps in existing literature and investigates how mobile devices might enhance self-regulated learning among university students. It also signals future research directions and offers implications for researchers and practitioners in HEIs.

Formative Use of Assessment to Foster Self-Regulated Learning: the Alignment of Teachers’ Conceptions and Classroom Assessment Practices

AbstractThis study investigates the pivotal role of self-regulated learning in higher education and explores to what extent teachers’ conceptions of formative assessment influence the development of students’ self-regulated learning skills. Despite the recognised significance of self-regulated learning, many students in higher education lack effective self-regulation strategies. Therefore, the teachers’ role is paramount. We investigated teachers’ beliefs and practices concerning assessment and the influence on self-regulated learning development through qualitative interviews with 16 teachers from different programmes. Findings reveal that teachers, influenced by their conceptions, strive to provide feedback primarily at the task and process levels, not adequately addressing the self-regulation level. While teachers acknowledge the importance of fostering self-regulated learning when inquired, their classroom practices lack a focus on the self-regulation level, often assuming students acquired the necessary skills from previous education. The study underscores a misalignment between teachers’ recognition of the importance of self-regulation learning and their actual practices. Recommendations emphasise the necessity of raising awareness among teachers about the important role of feedback in enhancing students’ self-regulation, addressing the current gap in educational support. Future research should explore how to bridge this awareness-practice gap and create an environment conducive to the development of self-regulated learning.

Mapping Difficulties in Problem-Solving Process During Video-Assisted Self-Regulated Learning Training for Students: Introducing the PS-SOS MAP

In the ever-changing landscape of the Information Age, the development of self-regulated learning (SRL) skills has become increasingly important. Problem-solving is a critical SRL skill, and teachers play a vital role in fostering these abilities among their students. However, learners and teachers face challenges during the problem-solving process and in evaluating its incorporated strategies. To address these issues, this study explored students’ difficulties in problem-solving while implementing a video assisted SRL training program. This program was developed based on an integrative framework to facilitate a structured problem-solving process in disciplinary or generic contexts. The program aimed to activate additional SRL skills, such as time management, feedback, elaboration, and critical thinking, through a digital toolkit of learning support materials. This paper focuses on 241 students’ difficulties identified and classified according to the problem-solving framework that reported by teachers in different disciplines and grades (6-11). The analysis revealed that the most significant difficulties arose during the problem identification, followed by time planning and management, problem exploration, solution development, and solution evaluation. Based on this study, a dedicated map was developed called PS-SOS MAP to identify difficulties in different steps and tasks throughout the problem-solving process. The utilization of this mapping can also aid in the creation of feedback systems based on technology, such as chatbots or virtual assistants, that can provide valuable assistance to students during problem-solving training, facilitating the process of overcoming difficulties.

Exploring inclusive teaching practices to enhance effective learning of students with visual impairments in a secondary school in Saudi Arabia using a self-regulated learning framework

This study’s goal was to investigate the extent to which general classroom teachers were implementing practices to promote the inclusion of students with visual impairment (VI) using self-regulated learning (SRL) as a framework for the study. SRL can help students, including struggling students or students with special needs, acquire the skills to take control of their learning situations as well as feel more included in the classroom. Observations and self-report questionnaires designed from SRL practices that foster inclusion were used to collect the data. Overall, the teachers provided limited opportunities at a depth that promoted inclusion or supported the SRL development of students with VI. Teacher training in SRL and student readiness to meet higher expectations will support inclusion within an SRL framework.

Parenting and teaching styles in relation to student characteristics and self-regulated learning

Parents and teachers play a key role in developing students' self-regulated learning (SRL), which is closely linked to academic achievement and acts as a protective factor for students from low socioeconomic backgrounds. Research has shown that authoritative parenting style, parental responsiveness, emotional warmth, behavioural control, and autonomy support are associated with better academic performance. In addition, studies have shown that the quality of the teacher-student relationship plays an important role in the development of SRL. However, there is limited research on the relationship between school and home environmental factors, student characteristics, and SRL, especially in primary school. The present study examined the relationship between parenting styles, teaching styles, student characteristics, and SRL. The sample included 328 ninth-grade students in Slovenian primary schools. SRL, parenting styles, and teaching styles were assessed using student self-reports. Using latent profile analysis, three subtypes of parenting styles (discipline-oriented parenting, democratic parenting, and responsive parenting) and three subtypes of teaching styles (autonomy-supportive teaching, diverse teaching, and directive teaching) were identified. Results indicate that students who perceive autonomy-supportive teaching and responsive parenting styles exhibit higher levels of SRL. Autonomy-supportive teaching was positively associated with student achievement. This study highlights the importance of an authoritative parenting and teaching style for the development of SRL in primary school.

Guidelines for instructional design of courses for the development of self-regulated learning for teachers

Self-regulated learning strategies are essential for learning, and to teach learners to use them, teachers must master them. The objective of this study was to identify training priorities for including these strategies in online courses for teachers, and to determine whether opinion influences the use of strategies. The design was non-experimental and cross-sectional, and involved administering the revised Cuestionario de Evaluación de las Estrategias de Aprendizaje de los Estudiantes Universitarios (CEVEAPEU questionnaire) to 285 teachers. The results allow us to differentiate between priority weaknesses, lower-priority weaknesses, and strengths in relation to metacognitive strategies (planning, objectives, self-evaluation, self-regulation, and context). To determine this, a frequency analysis was used, followed by a Mann-Whitney U (for 2-group variables) and Kruskal-Wallis (for 3 groups) test to determine whether opinion influences the use of strategies. Priority weaknesses were identified in the knowledge of objectives and evaluation criteria (planification); the ability to recognise when an exam has been passed (self-evaluation); modifying initial plans, dedicating more effort to difficult subjects, and learning new study techniques (self-regulation); and taking advantage of study time (context control). We concluded that opinions on self-regulated learning influence the use of strategies. Finally, work should be done on the recognition of the importance of self-regulated learning, time management strategies, self-evaluation techniques, flexibility, and self-control.

Self-regulation of learning in the context of modern technology: a review of empirical studies

PurposeSelf-regulation is the level of learning where the learner becomes an active agent in their learning process in terms of activity and aspects of motivation and metacognition. The current paper mostly deals with the metacognitive aspect. The purpose of this study is to gain insight into self-regulation of learning in the context of modern technology in higher education. This study also aims to highlight the direction, tendencies and trends toward which self-regulation of learning is moving in relation to modern technologies.Design/methodology/approachThe review study was compiled via searches in three databases: Scopus, Web of Science and ERIC. A filter was used to search for empirical studies solely in English, published over the past decade on the topics of self-regulation of learning and technology in higher education.FindingsThe findings clearly show a correlation between self-regulation of learning and modern technology, especially after a significant event such as the Covid-19 pandemic. However, in the wake of this change, the field of education has seen the emergence of methods and new platforms that can provide support for the development of self-regulated learning strategies.Originality/valueThe originality of the study lies in the fact that it focuses on the link between self-regulation of learning and modern technologies in higher education, including some predictions of the future direction of self-regulation of learning in this context.

Self-regulated and externally regulated learning in adolescence: Developmental trajectories and relations with teacher behavior, parent behavior, and academic achievement.

Both self-regulation and external regulation are key to understanding adolescents' learning and positive development at school. However, evidence on the joint development of self-regulated learning and externally regulated learning during adolescence is lacking. In addition, the current knowledge on interrelations between the development of adolescents' self-regulated learning, externally regulated learning, behaviors of teachers and parents in terms of autonomy support and achievement pressure, and academic achievement is very limited. The present multilevel longitudinal analysis focusing on the domain of mathematics (N = 1,542 German adolescents; annual assessments from Grades 5 to 9; mean age at Grade 5 = 11.79 years, SD = 0.71, 51.75% female) addressed these gaps. Results from multilevel latent basic growth curve models showed that self- and externally regulated learning decreased over the 5 years at both the individual student and the class level. Changes in self- and externally regulated learning were linked: Classes with higher levels of self-regulated learning at Grade 5 showed a stronger decrease in externally regulated learning over time. Initial levels of and changes in student-reported teacher and parental autonomy support and achievement pressure were associated with self- and externally regulated learning at the individual student level; student-reported teacher autonomy support and self-regulated learning were also linked at the class level. Self-regulated learning related positively to standardized achievement test scores but not to adolescents' grades. This study adds to the scarce evidence base on different regulatory forms of adolescents' learning and can inform future research on adolescents' positive development and educational practice. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

You’ve Got Mail: A Technology-Mediated Feedback Strategy to Support Self-Regulated Learning in First-Year University Students

Self-regulated learning (SRL) is associated with university student academic success outcomes, however students often need support to develop these skills. Technology-mediated feedback is one strategy that may aid educators in supporting students’ SRL development. This study aims to explore whether a technology-mediated feedback strategy targeting tutorial preparation for flipped classrooms enhances first-year students’ self-report SRL and observed implementation of the strategy. Self-report SRL was measured using the Motivated Strategies for Learning Questionnaire (MSLQ); strategy implementation profiles were based on lecture video access patterns. First-year psychology students (n = 99) were sent technology-mediated feedback emails aimed at developing their SRL. Paired-samples t-tests revealed significant increases in post-intervention self-reported motivational SRL subscales; self-reported and observed learning strategies implementation did not improve. Future research could build upon this exploratory work to form a multi-pronged strategy to increase understanding of the role of technology-mediated feedback in first-year students’ SRL development for flipped classroom learning.

Self-regulated learning strategies and academic achievement in South Korean 6th-graders: A two-level hierarchical linear modeling analysis.

The aim of the study was to explain the relationships between self-regulated learning strategy use and academic achievement of 6th-grade students in South Korea. An existing database (i.e., the Korean Educational Longitudinal Study; KELS) with 6th-grade students (n = 7,065) from 446 schools was used to run a series of 2-level hierarchical linear models (HLM). This large dataset enabled us to consider how the relationship between learners' self-regulated learning strategy use and academic achievement may differ at individual and school levels. We found that students' metacognition and effort regulation positively predicted their literacy and math achievement both within and across schools. The average literacy and math achievement were significantly higher in private schools than in public schools. Also, the math achievement of urban schools was significantly higher than in non-urban schools when controlling other cognitive and behavioral learning strategies. This study on 6th-grade learners' self-regulated learning (SRL) on academic achievement explores how their SRL strategies may be different from the features of successful adult learners from the previous findings, offering new insights into the development of SRL in elementary education.

Supporting the Self-Regulated Learning of Primary School Students With a Performance-Based Assessment Platform for Programming Education

This study implemented and evaluated the innovative use of a performance-based assessment platform to support the development of self-regulated learning (SRL) in senior primary students as they completed programming tasks. We embedded SRL support features into a performance-based assessment platform as scaffolding to help the students implement problem-solving strategies. A mixed-methods approach was adopted to evaluate the intervention. The students’ perceptions of their SRL skills after working through the programming tasks were measured by a survey of 45 students. The quantitative results suggested that the students benefited from the performance-based assessment platform in developing their SRL skills. A thematic analysis of interview data from 20 students further indicated that the embedded SRL scaffolding and automatic marking function helped them to solve the programming tasks. The results demonstrate that a well-designed performance-based assessment platform with embedded SRL support can be an effective tool for developing students’ SRL. The qualitative results further revealed that algorithmic thinking is an aspect of programming for which students need more SRL support.

The Co-Regulatory Coaching Interface Model: A Case Study of a Figure Skating Dyad

Very little research has investigated co-regulated learning (CRL; Hadwin et al., 2011) in the context of sport coaching for skill acquisition. Although research indicates self-regulated learning (SRL) helps elite competitive athletes optimize their skill acquisition (McCardle et al., 2019), coaching literature has yet to examine how co-regulated learning experiences in joint work between a coach and athlete are associated with SRL competencies in an athlete. Thus, the objective of this instrumental case study was to describe the nature of joint work between an experienced female coach (aged 53, national level) and a male figure skater (aged 15, provincial level) in a naturalistic environment. Season-long data collection involved analysis of recorded dialogue at 16 practices and three interviews with each participant. Using inductive reflexive thematic analysis, we developed higher-order themes related to macro- and micro-levels of CRL, and implications of the coach’s progression on the development of SRL. The Co-regulatory Coaching Interface Model, representing micro CRL interactions, outlines contributions from each member and dialogue processes facilitating skill acquisition. SRL was both an expected contributor to, and a consequence of interface interactions. We discuss coach-athlete dyadic processes, what they mean for athletes’ self-practice time, and how the model contributes a new perspective on collaborative work between coaches and athletes that has not been emphasized in the coaching science on talent development.

How Teachers Can Promote Assessment for Learning During All Phases of Learning.

Assessment for Learning (AFL) includes all educational activities designed to improve teaching and learning through gathering, sharing, and acting on information. AFL expands on the concept of formative assessment-which focuses mainly on an in-the-moment assessment activity-to include all processes that facilitate teachers and learners actively seeking and interpreting evidence to guide learning. AFL involves teachers and learners as partners and uses evidence to identify what the learner needs to learn (planning), review where the learner is in their learning (observing), and strategize how to maximize learning (supporting). 1 We provide the following guidelines for teachers to implement AFL within these 3 phases of a learning activity. Teachers should tailor their choice of AFL strategies to suit their relationship with the learner and learning environment context, aiming to support the development of self-regulated learning and metacognitive skills.