Supporting self‐regulated learning in computer‐based learning environments: systematic review of effects of scaffolding in the domain of science education

Despite the widespread assumption that students require scaffolding support for self‐regulated learning (SRL) processes in computer‐based learning environments (CBLEs), there is little clarity as to which types of scaffolds are most effective. This study offers a literature review covering the various scaffolds that support SRL processes in the domain of science education. Effective scaffolds are categorized and discussed according to the different areas and phases of SRL. The results reveal that most studies on scaffolding processes focus on cognition, whereas few focus on the non‐cognitive areas of SRL. In the field of cognition, prompts appear to be the most effective scaffolds, especially for processes during the control phase. This review also shows that studies have paid little attention to scaffold designs, learner characteristics, or various task characteristics, despite the fact that these variables have been found to have a significant influence. We conclude with the implications of our results on future design and research in the field of SRL using CBLEs.     

Fostering self‐regulated learning in a blended environment using group awareness and peer assistance as external scaffolds

Most systems for training self‐regulated learning (SRL) behaviour focus on the provision of a learner‐centred environment. Such systems repeat the training process and place learners alone to experience that process iteratively. According to the relevant literature, external scaffolds are more promising for effective SRL training. In this work, group awareness and peer assistance are used as external scaffolds in the process of training SRL behaviour, enhancing opportunities for self‐reflection and stimulating and encouraging learners. This work further develops a system, called self‐regulated learning with group awareness and peer assistance (SRL‐GAPA). Experimental results reveal that SRL‐GAPA provides significantly more participation in online training tasks and learning activities, better SRL behaviour and better learning achievement than the traditional SRL system (i.e,, a learner‐centred environment). The SRL‐GAPA benefited poorly self‐regulated learners more than highly self‐regulated students. Some implications of this finding are discussed.     

Scaffolding wiki‐supported collaborative learning for small‐group projects and whole‐class collaborative knowledge building

While educators value wikis' potential, wikis may fail to support collaborative constructive learning without careful scaffolding. This article proposes literature‐based instructional methods, revised based on two expert instructors' input, presents the collected empirical evidence on the effects of these methods and proposes directions for future refinements. The instructional methods were implemented by an expert instructor teaching a 12‐week 68‐student undergraduate design class in Canada. Data were collected from observations, interviews and content analysis of wikis. The findings revealed that in small‐group project (SGP), the wiki instructional methods enhanced collaborative learning with most instructional methods derived from cooperative learning, but in whole‐class collaborative knowledge building (CKB), the wiki instructional mehtods failed to turn the class into a self‐sustained learning community after the scaffolding faded. We conclude that the genre of wikis should be different for SGP and CKB. While the students easily adopted the ‘reproduced’ genre of wikis for SGP with familiar tasks, they felt overwhelmed or resistant to the unfamiliar ‘emergent’ genre of wikis for CKB in massive collaborative constructive learning. Therefore, we propose that future refinements for wiki‐supported CKB should focus on providing students scaffolding for intersubjectivity (understanding collaborative constructive learning) and transfer of responsibility (developing autonomy).     

Can the use of cognitive and metacognitive self-regulated learning strategies be predicted by learners’ levels of prior knowledge in hypermedia-learning environments?

Research on self-regulated learning (SRL) in hypermedia-learning environments is a growing area of interest, and prior knowledge can influence how students interact with these systems. One hundred twelve (N = 112) undergraduate students’ interactions with MetaTutor, a multi-agent, hypermedia-based learning environment, were investigated, including how prior knowledge affected their use of SRL strategies. We expected that students with high prior knowledge would engage in significantly more cognitive and metacognitive SRL strategies, engage in different sequences of SRL strategies, spend more time engaging in SRL processes, and visit more pages that were relevant to their sub-goals than students with low prior knowledge. Results showed significant differences in the total use of SRL strategies between prior knowledge groups, and more specifically, revealed significant differences in the use of each metacognitive strategy (e.g., judgment of learning), but not each cognitive strategy (e.g., taking notes) between prior knowledge groups. Results also revealed different sequences of use of SRL strategies between prior knowledge groups, and that students spent different amounts of time engaging in SRL processes; however, all students visited similar numbers of relevant pages. These results have important implications on designing multi-agent, hypermedia environments; we can design pedagogical agents that adapt to students’ learning needs, based on their prior knowledge levels.     

A framework for self‐regulated digital learning (SRDL)

This article develops a framework for self‐regulated digital learning, which supports for self‐regulated learning (SRL) in e‐learning systems. The framework emphasizes 8 features: learning plan, records/e‐portfolio and sharing, evaluation, human feedback, machine feedback, visualization of goals/procedures/concepts, scaffolding, and agents. Each feature facilitates or supports one or more SRL skills, including planning, monitoring and evaluating learning, applying appropriate cognitive strategies, and setting standards of products or performance. The implementation in domain‐general and ‐specific systems as illustrated by web‐based inquiry and problem‐solving are discussed. Examples and learning effects are elicited from the literature to demonstrate various designs. Approaches for designing SRL systems, educational implications, and new directions for future research incorporating SRL into digital learning are presented.     

Developing an appropriate design of blended learning with web-enabled self-regulated learning to enhance students' learning and thoughts regarding online learning

The vocational schools in Taiwan regard professional certifications as a badge of skills achievement. The teaching in this context usually focuses on how to help students enhance their professional skills and pass the certificate examinations, particularly for computing courses. However, due to national education policy, pure online courses are not permitted here and in some other nations. In order to provide an appropriate design and arrangement of blended learning (BL) courses, the authors redesigned a course, integrating web-enabled self-regulated learning (SRL) with variations in online class frequency, and explored their effects on enhancing students' skills of deploying database management system (DBMS) and their thoughts regarding blended course and interventions concerning SRL. Three class sections with a total of 112 students were taken as three distinct groups. The results indicated that students in the group of SRL and BL with five online classes had the highest grades for using DBMS among the three groups, and had very positive thoughts regarding the interventions concerning BL and SRL. The authors also provide suggestions and implications for teachers and schools to adopt innovative teaching methods and technologies, and redesign their courses to help students learn.     

Understanding mobile learning from the perspective of self‐regulated learning

Cognizant of the research gap in the theorization of mobile learning, this paper conceptually explores how the theories and methodology of self‐regulated learning (SRL), an active area in contemporary educational psychology, are inherently suited to address the issues originating from the defining characteristics of mobile learning: enabling student‐centred, personal, and ubiquitous learning. These characteristics provide some of the conditions for learners to learn anywhere and anytime, and thus, entail learners to be motivated and to be able to self‐regulate their own learning. We propose an analytic SRL model of mobile learning as a conceptual framework for understanding mobile learning, in which the notion of self‐regulation as agency is at the core. The rationale behind this model is built on our recognition of the challenges in the current conceptualization of the mechanisms and processes of mobile learning, and the inherent relationship between mobile learning and SRL. We draw on work in a 3‐year research project in developing and implementing a mobile learning environment in elementary science classes in Singapore to illustrate the application of SRL theories and methodology to understand and analyse mobile learning.     

Investigating an application of speech‐to‐text recognition: a study on visual attention and learning behaviour

One major drawback of previous research on speech‐to‐text recognition (STR) is that most findings showing the effectiveness of STR for learning were based upon subjective evidence. Very few studies have used eye‐tracking techniques to investigate visual attention of students on STR‐generated text. Furthermore, not much attention was paid to learning differences, such as learning ability, learning style preferences and gender, to use STR texts. Therefore, this study carried out one experiment. Firstly, participants' visual attention on STR‐generated text was investigated by employing eye‐tracking technique. Secondly, how differently effective STR‐generated texts can be to influence participants' learning achievement was tested. Thirdly, this study compared visual attention and learning behaviour with the different characteristics of participants, such as learning ability, learning style preferences and gender, to use STR‐generated texts. Finally, this study explored students' perceptions regarding usefulness of STR‐generated texts for learning. This paper discusses results, research findings and implications along with conclusions and several suggestions for future development and research.     

A study to explore the effects of self‐regulated learning environment for hearing‐impaired students

Although computer‐ and Internet‐aided learning for hearing‐impaired students has been a trend in the modern days, a few studies were done to examine their effectiveness in strengthening learning motivation and, in turn, enhancing learning efficiency. This study attempts to establish an interactive self‐regulated learning environment and employs Attention, Relevance, Confidence, Satisfaction motivation model, hyperlink technology, modular concepts and online learning community to design teaching contents and presentation of teaching materials. An empirical study was conducted to examine the effects of hearing‐impaired students learning motivation and cognitive attitude of learning environment. The results showed that interactive and self‐regulated learning environment could effectively strengthen learning motivation and promote positive learning behaviour in hearing‐impaired students.     

Improving the effectiveness of English vocabulary review by integrating ARCS with mobile game‐based learning

Memorizing English vocabulary is often considered uninteresting, and a lack of motivation exists during learning activities. Moreover, most vocabulary practice systems automatically select words from articles and do not provide integrated model methods for students. Therefore, this study constructed a mobile game‐based English vocabulary practice system, which imitates the popular block elimination game and combines test items of article, difficulty, and teacher model in accordance with curriculum objectives and demands. The participants were first‐year students and classified into traditional group (Group T) and game‐based group (Group G), and learning effectiveness and motivation were analysed in this study. According to statistical analysis results, students who used the game‐based vocabulary practice system, which could captivate their attention and interest, had higher learning effectiveness and provided positive feedback of learning motivation. Furthermore, English teachers could select teaching materials that are consistent with the features, knowledge, and cultural background of learners to improve the relevance dimension of learning motivation.     

Supervised machine learning in multimodal learning analytics for estimating success in project‐based learning

Multimodal learning analytics provides researchers new tools and techniques to capture different types of data from complex learning activities in dynamic learning environments. This paper investigates the use of diverse sensors, including computer vision, user‐generated content, and data from the learning objects (physical computing components), to record high‐fidelity synchronised multimodal recordings of small groups of learners interacting. We processed and extracted different aspects of the students' interactions to answer the following question: Which features of student group work are good predictors of team success in open‐ended tasks with physical computing? To answer this question, we have explored different supervised machine learning approaches (traditional and deep learning techniques) to analyse the data coming from multiple sources. The results illustrate that state‐of‐the‐art computational techniques can be used to generate insights into the "black box" of learning in students' project‐based activities. The features identified from the analysis show that distance between learners' hands and faces is a strong predictor of students' artefact quality, which can indicate the value of student collaboration. Our research shows that new and promising approaches such as neural networks, and more traditional regression approaches can both be used to classify multimodal learning analytics data, and both have advantages and disadvantages depending on the research questions and contexts being investigated. The work presented here is a significant contribution towards developing techniques to automatically identify the key aspects of students success in project‐based learning environments, and to ultimately help teachers provide appropriate and timely support to students in these fundamental aspects.     

Mobile‐Based micro‐Learning and Assessment: Impact on learning performance and motivation of high school students

Mobile‐based micro‐learning has gained a lot of attention lately, especially for work‐based and corporate training. It combines features of mobile learning and micro‐learning to deliver small learning units and short‐term learning activities. The current study uses the lens of the Self‐Determination Theory of motivation and proposes a series of Mobile‐Based micro‐Learning and Assessment (MBmLA) homework activities to improve high school students' motivation and learning performance in science. An experiment was conducted to evaluate the effectiveness of the proposed approach. One hundred and eight students of a senior‐level high school in Europe were randomly assigned into either a control condition (conventional paper‐based homework approach) or an experimental (MBmLA approach) condition. The study carried out for a period of 5 weeks. From the experimental results, it was found that, in comparison to the conventional paper‐based approach, the proposed MBmLA approach enhanced students' basic psychological needs of self‐perceived autonomy, competence, and relatedness and improved students' exam performance in terms of factual knowledge. Moreover, students self‐reported greater learning satisfaction with the mobile‐based microassessment and micro‐learning homework tasks. Implications on educational practices as well as future research are discussed.     

Designing a technology‐enhanced flipped learning system to facilitate students' self‐regulation and performance

In recent years, the flipped classroom has become prevalent in many educational settings. Flipped classroom adopts a pedagogical model in which short video lectures are viewed by students at home before class so that the teacher can lead students to participate in activities, problem‐solving, and discussions. Yet the design or use of technology that employs planned instructional strategies with sustainable support of self‐regulation is scant. We propose a technology‐enhanced flipped language learning system (Flip2Learn) that provides facilitation and guidance for learning performance and self‐regulation. A quasi‐experimental study was carried out to examine whether Flip2Learn could enhance college students' self‐regulatory skills and later contribute to the learning performance in the flipped classrooms. The results showed that Flip2Learn not only better prepared students for flipped classrooms but also better promoted learning performance compared to the conventional flipped classrooms. The results of this research advanced our understanding of the dynamics of flipped classrooms and represented a revolutionary new approach to the technology‐enhanced learning for flipped classrooms.     

How can self‐regulated learning be supported in mathematical E‐learning environments?

Abstract This study compares two E-learning environments: E-learning supported with IMPROVE self-metacognitive questioning (EL+IMP), and E-learning without explicit support of self-regulation (EL). The effects were compared between mathematical problem-solving and self-regulated learning (SRL). Participants were 65 ninth-grade students who studied linear function in Israeli junior high schools. Results showed that EL+IMP students significantly outperformed the EL students in problem-solving procedural and transfer tasks regarding mathematical explanations. We also found that the EL+IMP students outperformed their counterparts in using self-monitoring strategies during problem solving. This study discusses both the practical and theoretical implications of supporting SRL in mathematical E-learning environments.     

Facilitating comprehension of non‐native English speakers during lectures in English with STR‐texts

We provided texts generated by speech‐to text‐recognition (STR) technology for non‐native English speaking students during lectures in English in order to test whether STR‐texts were useful for enhancing students' comprehension of lectures. To this end, we carried out an experiment in which 60 participants were randomly assigned to a control group (i.e., 30 participants who learned without STR‐texts) and an experimental group (i.e., 30 participants who learned with STR‐texts). Our results showed that the participants in the experimental group outperformed those in the control group. Our second objective was to explore the effectiveness of STR‐texts on the learning performance of the experimental‐group participants with different levels of English as a Foreign Language ability, that is, high and low. The results showed that the low ability students had lower self‐efficacy than the high ability students. The results also showed no significant effect of STR‐texts on the post‐test scores of the low and high ability participants after controlling for the effect of English as a Foreign Language ability. No significant difference was found in cognitive load and anxiety of the low and high ability participants. Based on the implications of our findings, several suggestions are made for the teaching and research communities.     

The effect of SDLR and self‐efficacy in preschool teachers by using WS learning

This study examined whether self‐directed learning readiness (SDLR) moderates the association between Internet self‐efficacy and approaches to learning by web searching (ALWS). A total of 329 valid questionnaires were used for the correlation and path analysis. The results revealed that preschool teachers' SDLR significantly moderated the influence of Internet self‐efficacy and ALWS. Thus, this result suggests that spending more time on SDLR may increase preschool teachers' ALWS, which may enhance their teaching practice via web‐based professional development. Findings from this study may have implications for preschool teachers who aim to improve their teaching practice by targeting web‐searching environment and approaches to learning. The findings suggest that the positive mediation role of SDLR between Internet self‐efficacy and ALWS, especially effective learning, active learning and independent learning of SDLR. Because SDLR has the great influence on the online learning domain, preparing teacher's self‐directed learning ability is important for educational authorities to facilitate teachers' better performance when learning online.     

Learning adaptivity in support of flipped learning: An ontological problem‐solving approach

In recent years, flipped learning has received tremendous attention from educational practitioners and researchers. However, this study argues that existing e‐learning systems mainly serve for learning management and content delivery purposes, although they lack support for flipped learning. As an innovative educational approach, flipped learning requires more pedagogical elements, such as integrated instructional design and adaptive content delivery, to achieve effective direct instruction. This study aims to create a learning adaptivity design to support effective learning in the flipped individual learning space in which the teacher is absent. Because teaching involves various pedagogical and content knowledge sources, we propose a conceptual model of teaching as a function of the knowledge triad of Guideline (G), Teaching Activity (T), and Material (M). To realize this conceptualization, an ontological problem‐solving approach is used for knowledge‐based systems development to integrate the relevant knowledge sources. The knowledge model is created using the Protégé platform to develop OWL‐based domain ontology, task ontology, and SWRL‐based semantic rules to enable inference in the GTM triad for learning adaptivity. The case illustration shows that the knowledge‐based system prototype can adaptively guide student learning in the flipped individual learning space with the knowledge sources integrated.     

Effects of an online team project-based learning environment with group awareness and peer evaluation on socially shared regulation of learning and self-regulated learning

Recently, some studies proposed methods to promote socially shared regulation of learning (SSRL) level within a team because high SSRL levels enable an effective collaboration. Meanwhile, several studies also proposed methods in online collaboration to enhance individual self-regulated learning (SRL). Notably, most existing studies focused on proposing methods and tools either for enhancing SSRL level within a team or for enhancing individual SRL. A computer-supported collaborative learning (CSCL) environment with proper supports is promising for simultaneously enhancing the SSRL level within a team and individual SRL because SSRL and SRL have an inseparable relation and mutually influence during collaborative process. Based on the existing principles and theories, this work adopts the supports of group awareness and peer evaluation in CSCL with project-based learning. Group awareness (GA) can reveal collaborative behaviour of group members and regulate their participation while peer assessment (PE), which can appraise member’s contribution, can encourage individual responsibility and refine regulatory strategies. This study finds that the proposed group awareness and peer assessment (GAPE) (i.e. the experimental class) moderately reduces the free-rider effect and enhanced SSRL level and individual SRL, compared with NO-GAPE (i.e. the control group). Furthermore, this study also confirms that the perceived SSRL level can effectively predict individual SRL.     

A flowchart‐based intelligent tutoring system for improving problem‐solving skills of novice programmers

Intelligent tutoring and personalization are considered as the two most important factors in the research of learning systems and environments. An effective tool that can be used to improve problem‐solving ability is an Intelligent Tutoring System which is capable of mimicking a human tutor's actions in implementing a one‐to‐one personalized and adaptive teaching. In this paper, a novel Flowchart‐based Intelligent Tutoring System (FITS) is proposed benefiting from Bayesian networks for the process of decision making so as to aid students in problem‐solving activities and learning computer programming. FITS not only takes full advantage of Bayesian networks, but also benefits from a multi‐agent system using an automatic text‐to‐flowchart conversion approach for engaging novice programmers in flowchart development with the aim of improving their problem‐solving skills. In the end, in order to investigate the efficacy of FITS in problem‐solving ability acquisition, a quasi‐experimental design was adopted by this research. According to the results, students in the FITS group experienced better improvement in their problem‐solving abilities than those in the control group. Moreover, with regard to the improvement of a user's problem‐solving ability, FITS has shown to be considerably effective for students with different levels of prior knowledge, especially for those with a lower level of prior knowledge.     

Level of intrinsic motivation of distance education students in e‐learning environments

According to researches, motivation that initiates and sustains behaviour is one of the most significant components of learning in any environment. Accordingly, level of intrinsic motivation triggers and sustains the interest of the open and distance education students when it comes to learning on their own in e‐learning environments. Despite a comprehensive literature regarding the motivation of those learning in traditional learning environments, the number of studies addressing the motivation of open and distance education students in e‐learning environments is not sufficient. In this context, this study aims at determining the level of intrinsic motivation of open and distance education students. Thus, data were collected from 1,639 distance education students in 22 programmes, through Intrinsic Motivation in e‐Learning Questionnaire developed and validated to that end. Analyses carried out indicate that the level of intrinsic motivation of open and distance education students is high in e‐learning environments, but there is not a statistically significant difference by gender, programme structure (graduate/undergraduate), instruction type (distance–blended), and academic disciplines.