A Conceptual Model for Measuring and Supporting Self-Regulated Learning using Educational Data Mining on Learning Management Systems

When students enter higher education, self-regulated learning (SRL) involving goal setting, planning, monitoring, and reflection is crucial for academic success. This study systematically reviews SRL strategies, supporting technologies, and their impacts, especially with the shift to online learning due to the COVID-19 pandemic. Following Kitchenham’s guidelines, 121 articles from ScienceDirect and Scopus were reviewed. Key SRL strategies include goal setting, cognitive and metacognitive processes, time management, self-reflection, help-seeking, and monitoring. Technologies such as learning management systems (LMS), massive open online courses (MOOCs), artificial intelligence (AI), collaborative platforms, and learning analytics support SRL by providing personalized feedback and facilitating autonomous learning. Benefits include improved performance, motivation, and engagement, while challenges involve limited access to digital resources, technical issues, resistance to change, and inadequate instructor training. Addressing these barriers is essential for optimizing SRL implementation, guiding future research and educational practice.

MOOC learners’ demographics, self-regulated learning strategy, perceived learning and satisfaction: A structural equation modeling approach

Self-regulated learning (SRL) is a cyclical process through which individuals plan their objectives, execute them and self-evaluate their own behavior so as to obtain their proposed goals. SRL has been investigated by different authors such as Zimmerman, Boekaerts, Winne and Hadwin, Pintrich, Efklides and Hadwin, Jarvela and Miller and it's being applied in learning environments. This systematic review describes the current state of the art in terms of the support for SRL in Massive Online Open courses (MOOC) using technologies based on psychological models. 66 studies conducted between 2010 and 2020 were analyzed by searching three multidisciplinary databases: Scopus, Web of Science and Google Scholar. The review methodology steps were the review planning, the search, literature analysis and the results report. Results show SRL in MOOCs is an emerging study area incentivized by the high dropout rate of the participants in MOOC. Regarding models of SRL, the most representative author reported was identified as Zimmerman. The most prominent self-regulation strategies used by MOOCs participants are: Goal setting, Help Seeking, Time management, Self-evaluation and Strategic planning. The platforms with research on SRL in MOOCs that stand out are Coursera, Edx, Open Edx and Moodle. We identified tools which have been developed to support SRL in MOOC and a set of good practices useful to support SLR that can be used by MOOC designers and tutors. Finally, a series of open problems and challenges that could lead to new research on the topic of SRL in MOOCs have been identified.

Massive Open Online Courses (MOOCs) have been often described as a major innovation Higher Education, but their application in the teaching of clinical disciplines is still very limited, while there is a lack of scientific evaluations in this domain. The aim of this study was to investigate learners' behaviours and correlate patterns of Self-Regulated Learning (SRL) with performance and achievement during a MOOC in Implant Dentistry. The clickstream data of learners from the first run of the MOOC Implant dentistry by The University of Hong Kong were modelled and quantified based on Zimmerman's SRL model. The data were quantitatively analysed by means of k-means clustering for evidence of five SRL behavioural indicators of student activity. The clusters identified were then correlated with student engagement and learning performance. A total of 7608 individuals enrolled, 5014 engaged (active learners 65.90%), 1277 of them (25.47%) completed the course and 1232 purchased a certificate. Two major groups of learners emerged: Attentive (n=1433) who were more likely to follow the prescribed pathway in the MOOC and Auditors (n=3581) who accessed content selectively. There was significantly higher engagement, achievement and completion rates among Attentive than Auditors. Both groups included subcategories (Browser, Digger, Test-driven, Sampler, Persistent) which might reflect different SRL strategies. A MOOC in a clinical discipline can achieve high enrolment and completion rates as compared to current benchmarks. There appears to be a wide diversity of learning behaviours among learners, with two however dominant patterns. Learners with a linear learning pathway achieved significantly higher grades and completion rates than those who accessed content irregularly and selectively. Such differences however might be influenced by the demographic and professional background of the learner, as well as their motivation to attending the MOOC. Certain learning behaviours, in particular how learners access content in relation to assessments might be closer related to SRL.

Massive Open Online Courses (MOOCs) have been integrated into face-to-face language modules to enhance the educational experience of students. MOOCs appear to offer language learning opportunities as well as challenging the self-regulated learning (SRL) behaviour of students. This paper presents a work in progress with regards to the literature review of my PhD, which investigates SRL in face-to-face language modules using MOOCs. It discusses SRL as a requirement for engaging with these courses and analyses the way studies have integrated MOOCs into instructional language modules. This paper concludes by highlighting the need for understanding students’ SRL behaviour when engaging with MOOCs as part of their language modules.

This study aims at discovering EFL students’ participation in a Massive Open Online Course at a private Vietnamese university in the Mekong Delta. In particular, it investigates how students engage their self-regulated learning (SRL) strategies during the SRL intervention in their learning in MOOCs. The analysis is based on a qualitative approach to studying and utilizes the data obtained from reflective journals and semi-structured interviews. The analysis, informed by Sociocultural Theory and the Community of Inquiry framework, identifies several key themes: social interaction and collaboration, structured application of SRL strategies, the flexibility of learning approaches, the importance of teaching presence in facilitating effective learning, enhancement of cognitive presence through SRL, the interplay between social presence and motivation, impacts on speaking performance, and challenges encountered in the development of speaking skills. The findings underscore the necessity for more inclusive and effective course design and delivery in MOOCs within higher education. This research contributes to the broader discourse on optimizing online learning modalities to advance educational practices in the digital era.

Massive open online courses (MOOCs) require registered learners to be autonomous in their learning. Nevertheless, prior research studies showed that many learners lack the necessary self-regulated learning (SRL) skills to succeed in MOOCs. This research study aimed to gain insights into the relationships that exist between SRL and background information from MOOC learners. To this end, a series of three MOOCs on computer programming offered through edX were used to collect self-reported data from learners using an adaptation of the Motivated Strategies for Learning Questionnaire. Results show significant differences in general learning strategies and motivation by continent, prior computing experience and percentage of completed MOOCs. Men reported higher motivation than women, whereas pre-university learners needed further guidance to improve their learning strategies.

Self-regulated learning, reflective thinking, and meta-cognition have been given greater emphasis in Singapore’s education system as central to the development of 21st century competencies and lifelong learning capacities. This study explores students’ perceptions of their Self-Regulated Learning (SRL) strategies in Secondary Social Studies after engaging in a Computer-Based Learning Environment (CBLE) lesson with online information sources. Semi-structured group interviews were used to tease out the SRL strategies utilised by students from two different schools. SRL strategies were embedded in the CBLE as instructional prompts created for the purpose of assisting students during task completion. Students were then asked to reflect and comment on their work to identify SRL strategies they utilised in their learning. Findings demonstrate a range of SRL behaviours conveyed by students in the areas of planning for learning tasks, monitoring their learning, and reflection on their learning. The study highlights the importance of SRL strategies in Social Studies education to improve student learning.

This chapter analyzes the instructional quality and learning design of different categories of online courses and their history, with a special focus on massive open online courses (MOOCs). Online courses have a long tradition that has gained public attention, broad interest, and huge numbers of participants thanks to the introduction of free MOOCs accessible online for all interested learners worldwide. In this chapter, we first define MOOCs, their characteristics, and history. Afterward, theoretical frameworks and practical instruments and tools based on scientific research are presented. From the beginning, the quality of MOOCs (and of online courses in general) has been debated. That led to discussions about the learning design and outcomes of MOOCs, which we introduce in the next section. Key research findings and practical validated instruments for designing and evaluating MOOCs (and online courses in general) are presented. Then following, the key benefits of MOOCs and the main arguments and scenarios for their usage are summarized. Based on our analysis of the research results, practices, and standards, a framework for categories and types of (massive open) online courses is proposed, called the typologies of online courses (TOC) framework. As part of the global community for open educational resources (OER) and in combination with the UNESCO recommendation on OER, MOOCs can play a significant role in achieving the SDG4 of the United Nations: inclusive and equitable quality education for all. This is true in particular during times of public lockdowns, such as during the ongoing COVID-19 pandemic.

Technology-enhanced learning environments (TELEs) have provided language learners with various opportunities to promote their self-sufficient learning outside the classroom lately. Thus, language learners are no longer passive recipients of language; in contrast, they are autonomous learners who apply self-regulated learning strategies through the medium of technology during their English learning process, which in turn can be associated with their English self-efficacy perceptions. Therefore, the current study aimed to present an investigation into the relationship between preparatory school students’ use of technology-based self-regulated English learning strategies and their perceived English self-efficacy as well as the predictability of employing the strategies on their self-efficacy beliefs. Applying a quantitative research design, the data were collected through the Technology-based Self-Regulated English Learning Strategies Questionnaire (TSRLSQ) developed by An et al. (2020) and the Questionnaire of English Self-Efficacy (QESE) developed by Wang (2004). A statistically significant positive relationship was found between students' use of technology-assisted English learning strategies and their perceived English self-efficacy beliefs. In addition, regression analysis results showed that goal setting and learner evaluation, motivational regulation, and technology-based song-movie learning strategies were strong predictors explaining the change in students’ self-efficacy in four language skills.

Background: Self-regulated learning refers to the monitoring and controlling of one's own cognitive performance before, during, and after a learning episode. Previous literature suggested that self-regulated learning had a significant relationship with academic achievement, but not all self-regulated learning strategies exerted the same influences. Using an invalid strategy may waste the limited psychological resources, which will cause the ego depletion effect. The present meta-analysis study intended to search for the best self-regulated learning strategies and inefficient strategies for Chinese students in elementary and secondary school, and analyzed the critical phases of self-regulated learning according to Zimmerman's theory. The moderating effects of gender, grade, and publication year were also analyzed.Methods: Empirical studies which conducted in real teaching situations of elementary and secondary education were systematically searched using Chinese academic databases. Studies focused on undergraduate students, students of special education, or online learning environments were excluded. Fifty-five cross-sectional studies and four intervention studies (which generated 264 independent samples) were included with a total sample size of 23,497 participants. Random effects model was chosen in the current meta-analysis, and publication bias was also examined.Results: The results indicated that the overall effect size of self-regulated learning on academic achievement was small for primary and secondary school students in China. The effect sizes of self-efficacy, task strategies, and self-evaluation were relatively higher than other strategies. Self-regulated learning strategies have the largest effect size on science disciplines (including mathematics and physics). Performance phase and self-reflection phase are key phases of self-regulated learning. From 1998 to 2016, the effect size between self-regulated learning and academic achievement was gradually decreasing.Conclusions: The main findings of the current study showed that self-efficacy, task strategies, and self-evaluation were key self-regulated learning strategies for Chinese students. Performance phase and self-reflection phase played significant roles in the process of self-regulated learning. Future studies need to include more intervention studies with rigorous treatment fidelity control and provide more empirical evidence from online learning, so as to compare the different effects of self-regulated learning between traditional education and online education.

<p class="3">MOOCs (Massive Open Online Courses) have changed the way in which OER (Open Educational Resources) are bundled by teachers and consumed by learners. MOOCs represent an evolution towards the production and offering of structured quality OER. Many institutions that were initially reluctant to providing OER have, however, joined the MOOC wave. Nevertheless, MOOCs detractors strongly criticize their high dropout rates. The dropout rate is a commonly accepted metric of success for traditional education, but it may not be as suitable when dealing with OER, in general, and with MOOCs, in particular, since learners’ motivations to take a course are very diverse, and certain self-regulated learning strategies are required to tackle the lack of personalized tutoring and keep pace in the course. This paper presents an empirical study on the motivation and learning strategies of MOOC learners. Six thousand three hundred and thirty-five learners from 160 countries answered a self-report 7-point Likert-type questionnaire based on the Motivated Strategies for Learning Questionnaire (MSLQ) as part of a MOOC titled <em>Introduction to Programming with Java</em>. Results indicate that learners were highly motivated and confident to do well in the course. Learning strategies, however, can be improved, especially regarding time management.</p>

<p>Research on the effectiveness of self-regulated learning (SRL) strategies in mathematics is growing. SRL strategies are an effective way of learning mathematics in an online learning environment. Generally, many undergraduate students are not ready to study mathematics courses due to its complex nature. Lack of proper application of SRL when learning mathematics in an online learning environment can be a significant factor undermining student academic achievement and learning satisfaction. This research employed a true experimental design (Randomized control trial). The<span style="color: rgb(1, 0, 0);"> two </span>groups of students were randomly assigned to the experimental and control groups. The experimental group consists of fifty-seven students, while the control group consists of forty-four students. The result of the independent sample <em>t</em>-test analysis for the study revealed that the experimental group, which received the treatment of SRL strategy, achieved better outcomes and higher learning satisfaction during the learning period. The results of the present study have important implications for the application of SRL strategies in online learning environments to enhance students’ success in learning mathematics.</p>

Instead of measuring success in Massive Open Online Courses (MOOCs) based on certification and completion-rates, researchers started to define success with alternative metrics recently, for example by evaluating the intention-behavior gap and goal achievement. Especially self-regulated and goal-oriented learning have been identified as critical skills to be successful in online learning environments with low guidance like MOOCs, but technical support is rare. Therefore, this paper examines the current technical capabilities and limitations of goal-oriented learning in MOOCs. An observational study to explore how well learners in five MOOCs achieved their initial learning objectives was conducted, and the results are compared with similar studies. Afterwards, a concept with a focus on technical feasibility and automation outlines how personalized learning objectives can be supported and implemented on a MOOC platform.

Many students rarely use self-regulated learning (SRL) strategies, and little is known about what drives this variation. This study investigates which facets of SRL competence predict students' reported strategy use and performance, and whether these facets can be enhanced through video-based modeling. Based on conceptual change theory, we hypothesize that learners' initial SRL competence influences their ability to acquire SRL strategies. A total of 157 university students participated in a quasi-experimental lab study using a pre-, post-, and follow-up design. Participants watched one of three SRL modeling videos (mastery, coping, control) and completed questionnaires and reflection tasks assessing SRL beliefs, knowledge, and strategy use. Inconsistent beliefs and the interaction between self-efficacy and utility beliefs negatively predicted reported SRL use, while performance was positively associated with SRL knowledge, self-efficacy, and reported strategy use. Participants in the intervention condition showed significantly greater increases in SRL knowledge and reduced inconsistent beliefs. Most notably, learners with an initially low to average SRL strategy use showed the largest improvements following the intervention. These findings underscore the potential importance of addressing both cognitive and belief-related components of SRL. The findings suggest that modeling videos may support conceptual change and the development of SRL competence, particularly among less experienced learners.