Exploring Socially Shared Regulation in the Context of Collaboration

Agency in Educational Technology: Interdisciplinary Perspectives and Implications for Learning Design

Advancing learners’ agency is a key educational goal. The advent of personalized EdTech, which automatically tailor learning environments to individual learners, gives renewed relevance to the topic. EdTech researchers and practitioners are confronted with the same basic question: What is the right amount of agency to give to learners during their interactions with EdTech? This question is even more relevant for younger learners. Our aim in this paper is twofold: First, we outline and synthesize the ways in which agency is conceptualized in three key learning disciplines (philosophy, education, and psychology). We show that there are different types and levels of agency and various prerequisites for the effective exercise of agency and that these undergo developmental change. Second, we provide guiding principles for how agency can be designed for in EdTech for children. We propose an agency personalization loop in which the level of agency provided by the EdTech is assigned in an adaptive manner to strike a balance between allowing children to freely choose learning content and assigning optimal content to them. Finally, we highlight some examples from practice.

Effects of regulated learning scaffolding on regulation strategies and academic performance: A meta-analysis

Education research is increasingly focused on fostering self-regulated learning (SRL) and socially shared regulation of learning (SSRL) among students. However, previous meta-analyses have rarely focused on the specific types of regulated learning scaffolding. Therefore, this meta-analysis examines the effects of different types of regulated learning scaffolding on regulation strategies and academic performance. A total of 46 articles met the inclusion criteria and were included in the final analysis. The findings showed that overall, regulated learning scaffolding had a moderate effect (g = 0.587). In addition, moderation analyses were performed using a random effects model that focused on four types of scaffolding. The results showed that overall, composite tools had the greatest effect, while the most useful scaffolding for SRL and SSRL were group awareness tools (g = 0.61) and composite tools (g = 0.53), respectively. In terms of learning outcomes, composite tools had the greatest effect on regulation strategies, while intelligent pedagogical agents had the greatest effect on academic performance. We also performed a meta-regression analysis to identify the moderators that had the greatest influence on the effects of regulated learning scaffolding. The results showed that grade level, academic subject, and cooperation all had a significant impact. In conclusion, these findings provide evidence for validating the effectiveness of four regulated learning scaffolding and for discovering their function for SSRL, and presented some practical implications of our findings.

Sequential Patterns in Social Interaction States for Regulation in Collaborative Learning

This study explored sequential patterns in social interaction states for group-level regulation of learning during collaborative learning. The participants were secondary school students ( N = 92) performing collaborative physics tasks. The videotaped sessions were analyzed regarding participation, social interaction, and group-level regulation types of co- and socially shared regulation. The results show that group-level regulation emerged most frequently in social interaction state that included cognitive and socioemotional interaction and whole-group participation, which also led to and followed regulation most frequently. The findings highlight the role of joint participation in social interactions for regulation of learning in collaborative group settings.

The Sequential Composition of Collaborative Groups’ Emotion Regulation in Negative Socio-emotional Interactions

Research indicates that to adjust a group’s emotional atmosphere for successful collaborative learning, group members need to engage in group-level emotion regulation. However, less is known about the whys and ways regulation is activated at a group level. This research explores what triggers 12-year-old primary school students’ (N = 37) negative socio-emotional interactions during a collaborative science task and whether the nature of the trigger makes a difference to group-level emotion regulation strategies and their sequential composition in these interactions. Groups’ collaborative working was videotaped, and triggers and strategies were analysed. The results reveal that the triggers of negative interactions are linked to the groups’ activated regulation strategies. Motivation control strategies were more represented in situations where negative interactions were triggered by task-related issues, whereas socially related triggers were associated with behavioural regulation strategies. Furthermore, the results illustrate that strategies are concatenated to a series of strategic actions, which mostly begin with sharing an awareness of the trigger. The results indicate a need to focus on the series of strategic actions activated in group interactions. This will help reveal how socially shared regulatory processes build a group’s emotional atmosphere.

Nursing students' competence profiles in gerontological nursing-A cross-sectional study

AIM

The study aimed to describe and explain the self-assessed gerontological nursing competence levels of Finnish nursing students and factors relating to it.

DESIGN

A cross-sectional study design, reported by The Strengthening the Reporting of Observational studies in Epidemiology guidelines.

METHODS

Data were collected with the GeroNursingCom instrument, which features 53 items relating to 11 competence factors. The K-clustering technique and the Chi-squared, Kruskal-Wallis and Mann Whitney tests were used to analyse the data.

RESULTS

Seven hundred and ninety-nine nursing students from nine randomly selected higher education institutions were invited to participate in 2019. Three distinct student profiles were identified according to the data (N = 274): Profile A-lower intermediate competence (23.1% of students), Profile B-intermediate competence (45.8%) and Profile C-high competence (31.1%). The strongest competence area for all students was appreciative encounter and interaction, and the weakest was supporting the older person's sexuality. Nursing students have diverse backgrounds and their overall competence in gerontological nursing is shaped in part by their previous education, motivations and work experience.

RELEVANCE TO CLINICAL PRACTICE

Recognizing students' different gerontological nursing competence profiles enables the implementation of targeted education to improve competence in clinical practice.

University students’ self-regulation, engagement and performance in flipped learning

Purpose

The purpose of this study is to examine the effect of students’ self-regulation, co-regulation and behavioral engagement on their performance in flipped learning environments in higher education.

Design/methodology/approach

The subjects were college students taking an education course offered at a 4-year university in South Korea. Structural equation modeling was adopted to analyze 221 student responses.

Findings

The findings indicated that the more students self-regulated, the more likely they were to engage in co-regulation with other students in the class. Students’ self-regulation and co-regulation also significantly affected their behavioral engagement. Finally, students’ self-regulation positively affected their academic performance, while co-regulation and behavioral engagement did not affect their performance.

Originality/value

Based on these findings, this study provides meaningful implications for scholars and practitioners on how to select and use more appropriate instructional and evaluation strategies to improve students’ positive behavior, engagement and performance in a flipped learning environment.

A nationwide survey of online teaching strategies in dental education in China

Objectives

Due to the time and cost effectiveness, online teaching has played a significant role in the provision of education and has been a well‐accepted strategy for higher education in the world. The aim of this study was to survey the current online undergraduate education status in dental medicine in mainland China during the critical stage of the COVID‐19 outbreak, as well to provide a better understanding of practicing this learning strategy for the improvement and development of dental education.

Methods

For the cross‐sectional survey, recruitment emails regarding to the implementation of online education were sent to 42 dental colleges and universities in mainland China between March and April 2020.

Results

Ninety‐seven percent of the respondents have opened online courses during COVID‐19 pandemic in China, 74% of which chose live broadcast as the major teaching way. As compared with theoretical courses, fewer specialized practical curriculums were set up online with a lower satisfaction from students in most dental schools. For the general evaluation of online learning from students of different dental schools, the “online learning content” received the highest support, while the “interaction between teachers and students” showed the lowest satisfaction. Most schools reported that the difficulty in assurance of students’ learning motivation was the main problem in online education.

Conclusions

Our findings indicate the necessity and efficacy of the overall online teaching for dental education during the epidemic that can be further improved with the education model and pedagogical means to boost the informationization of dental education for future reference.

Regulating self-organized collaborative learning: the importance of homogeneous problem perception, immediacy and intensity of strategy use

Very often, university students deliberately form self-organized study groups, e.g. to study collaboratively for an upcoming exam. Yet, very little is known about what regulation problems such self-organized study groups encounter during their learning process and how they try to cope with these problems. Therefore, this study investigates how completely self-organized groups (i.e., non-guided groups outside the classroom that form without external impulse) regulate their collaborative learning process when faced with different kinds of regulation problems. More specifically, we tested the hypotheses that members of self-organized study groups are more satisfied with their group learning experience (a) the more homogeneous their problem perceptions are within their group, (b) the more they apply immediate (rather than non-immediate) strategies to remedy their regulation problems, and (c) the more frequently they apply regulation strategies. In a longitudinal study, N = 122 students, voluntarily studying for their exams in N = 52 groups, were asked to indicate the types of problems they experienced, the types of strategies they used to tackle those problems, and their satisfaction with their group learning experience after each of their self-organized study meetings. Hierarchical linear modeling confirmed all hypotheses. Qualitative analysis of two selected groups' self-reported situational data provided additional insights about the mechanisms that may have contributed to the results. Our study provides important directions for future research, including the recommendation to identify the processes by which groups (a) can reach homogeneity of problem perceptions and (b) coordinate the choice of appropriate strategies within the group.

What makes an online problem-based group successful? A learning analytics study using social network analysis

BACKGROUND

Although there is a wealth of research focusing on PBL, most studies employ self-reports, surveys, and interviews as data collection methods and have an exclusive focus on students. There is little research that has studied interactivity in online PBL settings through the lens of Social Network Analysis (SNA) to explore both student and teacher factors that could help monitor and possibly proactively support PBL groups. This study adopts SNA to investigate how groups, tutors and individual student's interactivity variables correlate with group performance and whether the interactivity variables could be used to predict group performance.

METHODS

We do so by analyzing 60 groups' work in 12 courses in dental education (598 students). The interaction data were extracted from a Moodle-based online learning platform to construct the aggregate networks of each group. SNA variables were calculated at the group level, students' level and tutor's level. We then performed correlation tests and multiple regression analysis using SNA measures and performance data.

RESULTS

The findings demonstrate that certain interaction variables are indicative of a well-performing group; particularly the quantity of interactions, active and reciprocal interactions among students, and group cohesion measures (transitivity and reciprocity). A more dominating role for teachers may be a negative sign of group performance. Finally, a stepwise multiple regression test demonstrated that SNA centrality measures could be used to predict group performance. A significant equation was found, F (4, 55) = 49.1, p < 0.01, with an R2 of 0.76. Tutor Eigen centrality, user count, and centralization outdegree were all statistically significant and negative. However, reciprocity in the group was a positive predictor of group improvement.

CONCLUSIONS

The findings of this study emphasized the importance of interactions, equal participation and inclusion of all group members, and reciprocity and group cohesion as predictors of a functioning group. Furthermore, SNA could be used to monitor online PBL groups, identify important quantitative data that helps predict and potentially support groups to function and co-regulate, which would improve the outcome of interacting groups in PBL. The information offered by SNA requires relatively little effort to analyze and could help educators get valuable insights about their groups and individual collaborators.

Effects of a digital educational intervention on collaborative learning in nursing education: A quasi-experimental study

Collaborative digital learning is becoming increasingly popular in higher education. However, the use of collaborative digital learning does risk placing too big a responsibility on the learner and reducing face-to-face interaction with the educator. The aim of this quasi-experimental study was to evaluate the effects of a digital educational intervention on collaborative learning in nursing education. The intervention group ( n = 87) studied using a collaborative digital learning environment and the control group ( n = 38) studied in the traditional classroom setting. There were no significant differences between the groups in terms of student satisfaction. However, the students' satisfaction of studying decreased in the intervention group after completion of the course. In the intervention group students had higher satisfaction in the area of promoting collaborative group work and received statistically significant higher grades in the final course evaluation. This study emphasizes that collaborative digital learning can be an effective approach in nursing education in terms of learning outcomes. It also shows that more study is needed on the role of the teacher in collaborative digital nursing education.

Is the Concept of Self-Regulation Useful for Supporting Effective Implementation in Community Settings?

The literature and utility of self-regulation extends beyond individuals; a critical factor for successful and sustainable implementation of evidence-based programs in a community setting may be the capacity of teams to self-regulate implementation processes. The conceptual foundation of this proposal is explored and definitions of the five dimensions of self-regulation for implementation processes are provided. Practice examples illustrate how the provision of external implementation support to build self-regulatory capacity among implementation teams adopting and scaling-up EBPs in the local community setting has shaped and refined the proposed definitions to better reflect the work on-the-ground. The role of external implementation support providers in developing implementation team self-regulation is explored and practice strategies to promote self-regulation are provided. Implications and directions for future research are discussed.

Commentary: Relationships Between Classroom Dialogue and Support for Metacognitive, Self-Regulatory Development in Educational Contexts

As indicated in the introductory article, this special issue has attempted to represent and illustrate developments in theoretical, methodological, and empirical work related to the role of primary classroom dialogue in supporting children's self-regulation. The articles included report studies carried out in the United Kingdom and Chile (two quite different cultural contexts) originally supported by a British Academy International Partnership and Mobility grant to the two editors. These articles extend the work originally reported in Whitebread, Mercer, Howe & Tolmie (2013), bringing together a number of research traditions to develop our understanding of the contribution of dialogic processes in primary classrooms to the development of children's self-regulation. This commentary is intended to locate the present studies within the pre-existing research literature, to indicate the significant contributions made, and to pose an agenda for future research in this area.

Peer Feedback on Collaborative Learning Activities in Veterinary Education

Collaborative learning activities are an increasingly prominent feature of veterinary curricula that have been redesigned to achieve competency-based graduate learning outcomes. This evolution challenges the traditional individualistic approach to veterinary education and necessitates revisions to assessment and feedback practices to ensure constructive alignment. Peer feedback has been widely reported in the medical education literature as a teaching intervention in collaborative learning settings, with learning gains reported for students who receive and provide peer feedback. In this setting, peer feedback has been demonstrated to provide valuable formative feedback on professional behaviors and skills. However, there are very few such reports in the veterinary education literature to date. Barriers to the introduction of this approach can include teacher and student perceptions, and concerns around validity and reliability. This review aimed to provide an overview of current evidence regarding peer feedback on collaborative learning activities in higher education, and to explore opportunities and challenges for the introduction of peer feedback in the context of veterinary education. We contend that early and repeated provision of formative peer feedback can provide an opportunity to scaffold the development of crucial core competencies within veterinary education, including the self-regulated learning skills required to work in collaborative teams, and interpret and act on feedback.

A Review of Self-regulated Learning: Six Models and Four Directions for Research

Self-regulated learning (SRL) includes the cognitive, metacognitive, behavioral, motivational, and emotional/affective aspects of learning. It is, therefore, an extraordinary umbrella under which a considerable number of variables that influence learning (e.g., self-efficacy, volition, cognitive strategies) are studied within a comprehensive and holistic approach. For that reason, SRL has become one of the most important areas of research within educational psychology. In this paper, six models of SRL are analyzed and compared; that is, Zimmerman; Boekaerts; Winne and Hadwin; Pintrich; Efklides; and Hadwin, Järvelä and Miller. First, each model is explored in detail in the following aspects: (a) history and development, (b) description of the model (including the model figures), (c) empirical support, and (d) instruments constructed based on the model. Then, the models are compared in a number of aspects: (a) citations, (b) phases and subprocesses, (c) how they conceptualize (meta)cognition, motivation and emotion, (d) top–down/bottom–up, (e) automaticity, and (f) context. In the discussion, the empirical evidence from the existing SRL meta-analyses is examined and implications for education are extracted. Further, four future lines of research are proposed. The review reaches two main conclusions. First, the SRL models form an integrative and coherent framework from which to conduct research and on which students can be taught to be more strategic and successful. Second, based on the available meta-analytic evidence, there are differential effects of SRL models in light of differences in students’ developmental stages or educational levels. Thus, scholars and teachers need to start applying these differential effects of the SRL models and theories to enhance students’ learning and SRL skills.

Socially Shared Regulation of Learning: A Review

Abstract. Socially shared regulation of learning (SSRL) has been recognized as a new and growing field in the framework of self-regulated learning theory in the past decade. In the present review, we examine the empirical evidence to support such a phenomenon. A total of 17 articles addressing SSRL were identified, 13 of which presented empirical evidence. Through a narrative review it could be concluded that there is enough data to maintain the existence of SSRL in comparison to other social regulation (e.g., co-regulation). It was found that most of the SSRL research has focused on characterizing phenomena through the use of mixed methods through qualitative data, mostly video-recorded observation data. Also, SSRL seems to contribute to students’ performance. Finally, the article discusses the need for the field to move forward, exploring the best conditions to promote SSRL, clarifying whether SSRL is always the optimal form of collaboration, and identifying more aspects of groups’ characteristics.

How Individual Self-Regulation Affects Group Regulation and Performance

This study explored the relationship between individual self-regulated learning (SRL), socially shared regulation of learning (SSRL), and group performance plus the effect of an intervention promoting SSRL. We hypothesized that SRL would influence SSRL and group performance as groups with high SRL students will be better regulated and that the intervention would promote SSRL over time. The results revealed a significant relationship between SRL and SSRL, but no significant effects of the intervention on group performance. The limitations of the intervention are discussed and form the basis for future design of environments to promote SSRL. The main conclusion is that SRL is an important predictor of SSRL and should be considered when designing small group activities and their environments.