Effects of self-assessment on self-regulated learning and self-efficacy: Four meta-analyses

This meta-analytic review explores the effects of self-assessment on students' self-regulated learning (SRL) and self-efficacy. A total of 19 studies were included in the four different meta-analyses conducted with a total sample of 2305 students. The effects sizes from the three meta-analyses addressing effects on different measures of SRL were 0.23, 0.65, and 0.43. The effect size from the meta-analysis on self-efficacy was 0.73. In addition, it was found that gender (with girls benefiting more) and certain self-assessment components (such as self-monitoring) were significant moderators of the effects on self-efficacy. These results point to the importance of self-assessment interventions to promote students’ use of learning strategies and its effects on motivational variables such as self-efficacy.     

Evaluating the advantages and disadvantages of providing lecture notes: The role of internet technology as a delivery system and research tool

Relationships among patterns of access to online notes, examination performance, and student absenteeism were examined. Students who made more frequent use of online notes performed at a higher level on course examinations. Students most frequently accessed online notes while corresponding lecture content was being presented in class, but this pattern weakened to some extent during the semester. Students who attended class most consistently made greater use of online notes. Patterns of online note use were different for students with low and high rates of absenteeism.     

Synthesizing research evidence on self-regulated learning and academic achievement in online and blended learning environments: A scoping review

The present study synthesizes research evidence on self-regulated learning (SRL) and academic achievement in online and blended learning environments from intervention and cross-sectional studies. We examined 163 studies conducted in various countries and different learning contexts in terms of study characteristics, methodology, and SRL features. The current study found that SRL in the online and blended learning contexts has been an important topic and has received increased attention. The results revealed the importance of SRL for improving students' academic performance in the STEM field. It also demonstrated that the majority of the studies adopted multiple SRL strategies throughout mixed phases. This study confirmed the effectiveness of SRL on academic achievement in online or blended learning. However, the present study also identified that research on children's and adolescents' SRL strategies in online learning contexts is urgently needed and most of the available research did not focus on the preparatory and planning phases of SRL which are extremely important.     

Self-regulated learning partially mediates the effect of self-regulated learning interventions on achievement in higher education: A meta-analysis

It is often assumed that interventions aimed at supporting students’ self-regulated learning (SRL) are effective for improving achievement because these interventions support SRL activity. In this study, meta-analytic structural equation modeling (MASEM) was used to test whether SRL activity indeed mediates the effect of SRL interventions on achievement in higher education. Contrary to popular belief, the results only provide evidence for partial mediation. Furthermore, three separate meta-analyses were performed to investigate the role of possible moderators of the relations between: (1) SRL interventions and achievement, (2) SRL interventions and SRL activity, and (3) SRL activity and achievement. Although SRL interventions were effective in improving SRL activity and achievement, most of the study, measurement, and intervention moderators did not explain significant variance of the investigated effect sizes. Other factors, such as task motivation and time on task, potentially influence the effectiveness of SRL interventions. Practical, theoretical and methodological implications are provided.     

Epistemic profiles and self-regulated learning: Examining relations in the context of mathematics problem solving

Relations were examined between epistemic profiles, regulation of cognition, and mathematics problem solving. Two hundred sixty-eight students were sampled from undergraduate mathematics and statistics courses. Students completed inventories reflecting their epistemic profiles and learning strategies, and were profiled as rational, empirical, or both. Based on their profiles, 24 students participated in two problem-solving sessions. Episodes were coded for planning, monitoring, control, use of empirical and rational argumentation, and justification for solutions. For both self-reported metacognitive self-regulation and regulation of cognition during problem solving, students profiled as rational had the highest self-reported mean and actual frequency of regulation of cognition compared to students profiled as predominantly empirical. Moreover, students profiled as predominantly rational correctly solved more problems than the other two groups. Finally, students’ approaches to problem solving were consistent with their epistemic profiles. Relations are discussed in the context of various theoretical frameworks.     

The effects of achievement goals and self-regulated learning behaviors on reading comprehension in technology-enhanced learning environments

Studies examining students’ achievement goals, cognitive engagement strategies and performance have found that achievement goals tend to predict classes of cognitive strategy use which predict performance on measures of learning. These studies have led to deeper theoretical understanding, but their reliance on self-report data limit the conclusions that can be drawn. We employed a behavioral approach instead and assessed learning processes by logging learners’ behaviors as they used educational technology. We examined the relationship between achievement goals, strategy use, and comprehension scores of 160 undergraduates who studied a hypertext passage in a technology-enhanced learning environment (TELE) equipped with tools that support learning behaviors including highlighting, taking notes, review of annotations, seeking additional information and monitoring understanding. Results of a path analysis indicated that higher mastery goals predicted more information-seeking and note-taking and marginally more monitoring of learning. Performance avoidance goals negatively predicted note-taking and information-seeking. Performance approach goals did not predict the behaviors we traced. Of the behaviors we traced, highlighting and monitoring predicted increases in comprehension scores. A behavioral approach to assessing learning processes confirmed only a subset of paths from achievement goals to learning processes to learning outcomes originally discovered with self-report data.     

Better together: Effects of four self-efficacy-building strategies on online statistical learning

The goal of this study is to test the individual and combined effects of supplementing an online statistics lesson with four motivational strategies corresponding to Bandura’s (1997) four sources of self-efficacy (anxiety coping, modeling, mental practice, and effort feedback) on cognitive, motivational, and affective outcomes. Internet participants (N = 279) completed an online statistics module in one of six conditions with one or all four self-efficacy-building strategies (5 treatment conditions) or none of these strategies (control condition). The results indicated that the four strategies worked effectively in combination, significantly improving transfer test scores (d = 0.608), increasing self-efficacy ratings (d = 0.696), and reducing task anxiety ratings (d = −0.534), as compared with the control condition. By contrast, no motivational strategy alone was effective. The results suggest the importance of taking advantage of the power of all four sources of self-efficacy information in combination when designing motivational interventions for online mathematical lessons.     

Examining research on the impact of distance and online learning: A second-order meta-analysis study

Distance learning has evolved over many generations into its newest form of what we commonly label as online learning. In this second-order meta-analysis, we analyze 19 first-order meta-analyses to examine the impact of distance learning and the special case of online learning on students’ cognitive, affective and behavioral outcomes. We examine to what extent distance learning generation level, and instructional setting moderate the influences of distance learning on cognitive, affective and behavioral outcomes. This second-order meta-analyses also analyzes the first-order meta-analyses for methodological quality and robustness. The findings revealed a statistically significant overall average effect size (g = 0.156, p < .001 with a 95% confidence interval of 0.087–0.224) of distance learning impacting cognitive, affective and behavioral outcomes in comparison to face-to-face learning. Meta-analyses on higher education had a statistically significant larger effect size than K-12 education. Limitations, implications, and directions for future research are discussed.     

Effects of an online sharing and feedback programme on preservice teachers’ practical knowledge,learning preferences and satisfaction

ABSTRACT

This study investigated the effects of an online sharing and feedback programme (OSFP) on preservice teachers’ practical knowledge (PTPK) and attempted to determine the relationship between satisfaction with online interaction and changes in three types of learning preferences (collaborative, competitive and individualistic). In this study, a quasi-experimental pre- and post-test control-group design was employed to examine these factors. The OSFP was designed, focusing on peer interaction on topics regarding field experiences. The analytical results reveal that the OSFP improved practical teaching knowledge, one of the forms of PTPK. Additionally, satisfaction with online sharing and feedback on the topics of interpersonal affairs strengthened preservice teachers’ preference for collaborative learning and decreased their individual preference. Notably, this study demonstrates that collaborative learning preferences positively change when learners are satisfied with online sharing and feedback on the topic of interpersonal affairs.     

The dynamic roles of cognitive reappraisal and self-regulated learning during mathematics problem solving: A mixed methods investigation

Emotion regulation (ER) and self-regulated learning (SRL) are crucial to learners’ academic achievements. To date, little research has considered the dynamic relations between cognitive reappraisal (as a form of ER) and SRL in middle-to-upper-elementary-aged children. To address this gap, we conducted an explanatory mixed-methods study to examine relations between cognitive reappraisal, the four macro phases of SRL (task definition, planning/goal setting, enactment of learning strategies, monitoring/evaluation), and mathematics problem-solving outcomes in a sample of 134 elementary students from grades 3 through 6. Path analysis revealed that cognitive reappraisal positively predicted all four phases of SRL, but that the four phases of SRL did not predict cognitive reappraisal. Moreover, both task definition and planning/goal setting positively predicted enactment and monitoring/evaluation. Results from path analyses further revealed that task definition mediated relations between cognitive reappraisal and enactment, and reappraisal and monitoring. Enactment mediated relations between reappraisal and mathematics problem-solving outcomes. Finally, enactment predicted mathematics problem-solving outcomes. Further, quantitative results were cross-validated by results from trend analyses; results converged regarding the weakly sequenced nature of SRL and with regard to cognitive reappraisal serving as an important antecedent for effective SRL.     

Evaluating the effects of analogy enriched text on the learning of science: The importance of learning indexes

Research has shown that differences in the prior knowledge of the participants and in the learning indexes adopted can explain why some studies show positive learning effects of analogy enriched text while others do not. In the present studies, these two factors were combined into one through the construction of a learning index that measured incremental positive changes in the participants' prior knowledge after reading an analogy enriched or no analogy text. A second learning index was also used to evaluate whether the participants created well-formed conceptual models after reading the science text. These learning indexes were used in two studies in which the effects of analogy enriched versus no analogy text were compared on the learning of the scientific explanations of the day/night cycle and of the seasons. The participants were 3rd and 5th graders in the first study and 6th graders and college students in the other. Although only few of the participants learned the correct scientific explanation, those who read the analogy enriched text produced more incremental positive changes in their pretest explanations at posttest and delayed test and created more well-formed conceptual models close to the scientific one than those who read the no analogy text. They also recalled more information and created fewer invalid inferences in their recalls. The results indicate that analogies can be used without reservation to facilitate the learning of science and have broader implications about how to evaluate the learning of science in general.     

Investigating how college students’ task definitions and plans relate to self-regulated learning processing and understanding of a complex science topic

Winne and Hadwin (2008) identified four phases of self-regulated learning (SRL) including defining the task, setting goals and making plans, studying (i.e., learning), and adaptation. The vast majority of SRL research has focused on processing during the third phase, studying. In this study, we developed coding rubrics that allowed us to examine how the results of college students’ processing during phases one and two of Winne and Hadwin’s model, task definitions and plans, affected their SRL processing while learning with a hypermedia learning environment (HLE), and their subsequent academic performance. Our findings showed that, on average, participants gained both factual knowledge and integrated conceptual understanding over the course of learning with the HLE. The quality of participants’ task definitions and plans at pretest, as well as their SRL processing during learning, were related to learning outcomes. On average, participants’ task definitions improved from pretest to posttest. The findings from this study and the associated coding methodologies have implications for educational research and practice.     

Supporting learning from text: A meta-analysis on the timing and content of effective feedback

The aim of the present meta-analysis was to examine the effects of feedback on learning from text in conventional readers (ranging from primary school students to university students). Combining 104 contrasts of conditions of reading texts with and without feedback, including 6,124 participants, using the random effects model resulted in a positive effect of feedback on learning from text (g+ = 0.35). Moderator analyses showed that feedback is particularly effective if provided directly after reading, but less so when provided during reading. If feedback is provided directly after reading, elaborate feedback and knowledge-of-correct-response feedback were more effective than knowledge-of-response feedback. If feedback is provided during reading, no differences are found between the effects of different types of feedback. Additionally, computer-delivered feedback is more beneficial for learning from text than non-computer-delivered feedback. Implications for optimizing conditions to support learning from text are discussed.     

Online MBA students' perceptions of online learning: Benefits, challenges, and suggestions

Online MBA programs have seen a rapid rise in student enrollments in recent years and institutions of higher education have keen interests in offering quality online MBA programs to meet the demands. The present study reports the results of a case study in which over 100 students enrolled in a top-ranked online MBA program were interviewed and surveyed to investigate their perceptions of the benefits and challenges in online learning and their suggestions for improving the quality of the online MBA program. It was found that virtual teaming was a major factor that influenced the students' online learning experience; they viewed virtual teaming experiences as valuable for preparing them for the increasingly global business environment; at the same time, it also served as a key challenge to their learning in the online environment. Students' suggestions for improving the quality of online MBA program are discussed as well.     

Post-secondary educators' professional development: Investigation of an online approach to enhancing teaching and learning

Faculty in post-secondary institutions must continually reassess, refine, and revise their teaching, yet it is a challenge for them to gain this professional development with heavy teaching responsibilities and high demands on their time. Creating Optimum Learning Environments (CREOLE) is a collaborative project between one community college and one university to develop an online training program for post-secondary education faculty on the basic principles of teaching and learning and the development of online courses. Four independent modules were developed and taught in a one semester format for educators throughout the U.S. The goal of this research was to identify the strenghts and challenges of this course; determine the changes in pedagogical practice of the participating faculty members; and to examine the resulting changes in participants' course materials to reflect learning and motivation theories, and appropriate online learning strategies. Methods included pre- and post-surveys of the participants, interviews, document analysis, and instructors' reflections. Results demonstrated high expectations from all participants, difficulty in forming a sustained learning community, continuing challenge in technological aspects, and requirement for intense instructor involvement to maintain morale.     

Using a computer-aided personalized system of instruction to enhance the mastery of statistics in online learning

This study compared the effectiveness of teaching a distance education statistics course using a computer-aided personalized system of instruction (CAPSI) in comparison to a distance education course that used video lectures. Data were collected between 2017 and 2022. Two-hundred and sixty-eight students were included in the sample. Results supported that students enrolled in the CAPSI statistics course were less likely to drop out of the course and mastered significantly more material than students enrolled in the lecture-based distance education course. It is recommended that instructors teaching statistics in distance education settings consider using CAPSI to improve student outcomes.     

Using action research to enhance learning on end-use energy demand: lessons from reflective practice

This paper responds to the need for a greater integration of energy and environment themes in the higher education curriculum. We explore the practical implications of empowering students towards the implementation of individual action research projects focused on investigating and addressing insufficient or wasteful energy consumption among households and businesses. The paper scrutinizes a series of teaching and assessment activities within this domain, undertaken during 6 consecutive academic years – between 2008 and 2013 – within a third-level undergraduate course unit at the University of Birmingham in the United Kingdom. Using questionnaire surveys, assessed projects and interviews with the students, we have found evidence to suggest that the action research projects contributed to the emergence of constructive alignment in the entire teaching process, while opening the space for informal action learning ‘sets’ leading to the generation of new problem-solving skills useful in the job market.     

Components of fostering self-regulated learning among students. A meta-analysis on intervention studies at primary and secondary school level

Due to new standards in fostering life-long learning at school, research has increasingly dealt with the promotion of self-regulated learning, resulting in a large number of intervention studies conducted at primary and secondary school. The current study aimed at investigating the impact of various training characteristics on the training outcomes, regarding academic performance, strategy use and motivation of students. Two meta-analyses were conducted separately, one for primary and one for secondary school level to allow for comparisons between both school levels. The meta-analyses included 49 studies conducted with primary school students and 35 studies conducted with secondary school students; analyzing 357 effect sizes altogether. The potential effects of training characteristics were investigated by means of meta-analytic multiple regression analyses. The average effect size was 0.69. For both school levels, effect sizes were higher when the training was conducted by researchers instead of regular teachers. Moreover, interventions attained higher effects when conducted in the scope of mathematics than in reading/writing or other subjects. Self-regulated learning can be fostered effectively at both primary and secondary school level. However, the theoretical background on which the training programme is based, as well as the type of instructed strategy led to differential effects at both school levels.