The impact of team‐based learning on students with different self‐regulated learning abilities

Team‐based learning (TBL) stresses applying knowledge rather than absorbing knowledge in class; studies have investigated the use of TBL and its merits in different teaching courses (e.g., medical science and business). TBL is most effective when students learn autonomously before class. However, the ability of autonomous learning is highly associated with the ability of self‐regulated learning (SRL); most importantly, not every student possesses good (or high) SRL ability. Nevertheless, few studies have compared the effectiveness of TBL in students with different SRL abilities. To address this issue, this study analyzed approximately 90 students, whose course teaching involves office application software (Microsoft Excel). This study also developed an online TBL system (called Online TBL) to facilitate performing TBL and to collect the learning behaviours of students with different (high or low) SRL abilities on each TBL stage. The analytical results show that compared with the low‐SRL students, the high‐SRL students were more prepared for class because they spent more reviewing material and had better scores on personal uploaded Excel and Individual Readiness Assurance Test. From the feedback of the peer evaluation, the results also show that the high‐SRL students received more credits than the low‐SRL students did. The questionnaire survey revealed that both low‐SRL and high‐SRL students had a favourable impression of TBL. Further discussion is given to explain the above results.     

Individual learning goal orientations in self‐managed team‐based organizations: A study on individual and contextual variables

Previous research has shown the importance of individual learning goal orientation for both job and task performance and consequently organizational performance. Despite its importance, knowledge on the antecedents of learning goal orientation remains scarce, especially in the context of self‐managing team‐based organizations. In fact, most of the research on goal orientation antecedents has been focused on individual characteristics, belief, and ability, while the contextual factors that might influence them remain unspecified. We build on and further extend earlier studies by jointly exploring the role of individual and contextual factors affecting individual learning orientation. In particular, this study combines individual informal social network, self‐efficacy, performance feedbacks, and team identification into a model that explains individuals' learning goal orientation within self‐managing team‐based organizations. The model was empirically tested on a sample of 104 individuals belonging to an R&D organization relying on self‐managing teams. Results show that performance feedback has a negative direct effect, while team identification has a positive direct effect on individual learning goal orientation. In addition, we found that individual self‐efficacy is a mediator of the relationships between performance feedback and brokerage in the advice network and individual learning goal orientation. Finally, we did not find a relationship between centrality in the friendship network and individual learning goal orientation.     

Designing on‐demand education for simultaneous development of domain‐specific and self‐directed learning skills

On‐demand education enables individual learners to choose their learning pathways according to their own learning needs. They must use self‐directed learning (SDL) skills involving self‐assessment and task selection to determine appropriate pathways for learning. Learners who lack these skills must develop them because SDL skills are prerequisite to developing domain‐specific skills. This article describes the design of an on‐demand learning environment developed to enable novices to simultaneously develop their SDL and domain‐specific skills. Learners received advice on their self‐assessments and their selections of subsequent learning tasks. In the domain of system dynamics – a way to model a dynamic system and draw graphs depicting the system's behaviour over time – advice on self‐assessment is provided in a scoring rubric containing relevant performance standards. Advice on task selection indicates all relevant task aspects to be taken into account, including recommendations for suitable learning tasks which meet the individual learner's needs. This article discusses the design of the environment and the learners' perceptions of its usefulness. Most of the times, the learners found the advice appropriate and they followed it in 78% of their task selections.     

Development and validation of a crisis self‐efficacy index

This study develops a crisis self‐efficacy index to provide a tool for crisis communication researchers and practitioners to understand behavioural aspects of crisis response better. Evaluations of public's crisis self‐efficacy using this index inform strategic message development to protect the public and minimize crisis damages by identifying the public/s most in need of self‐efficacy enhancing interventions. The index also provides practitioners a useful longitudinal index to evaluate progress in crisis preparedness programs and track changes in efficacy. A four‐stage survey index development process using structural equation modelling identifies four underlying constructs of crisis self‐efficacy: action, preventive, achievement and uncertainty management.     

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.     

Internet cognitive failure and fatigue relevant to learners' self‐regulation and learning progress in English vocabulary with a calibration scheme

To determine the factors of learning effectiveness in English vocabulary learning when using a calibration scheme, this study developed a freshman English mobile device application (for iPhone 4) for students with low levels of English proficiency to practise vocabulary in the beginning of their Freshman English course. Data were collected and validated from 243 subjects for confirmatory factor analysis and structural equation modeling. The findings revealed that Internet cognitive failure (i.e., trait cognitive disability) was positively correlated to Internet cognitive fatigue (i.e., state cognitive disability). Both types of Internet cognitive disability were negatively correlated to self‐regulation in English vocabulary learning (SREVL). SREVL was positively correlated to the degree of learning improvement. The findings implied that the use of a calibration design for mobile English vocabulary learning could benefit students with low levels of Internet cognitive disability but high levels of SREVL.     

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.     

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.     

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.     

Self‐efficacy,learning method appropriation and software skills acquisition in learner‐controlled CSSTS environments

A computer‐simulated software training system (CSSTS) delivers a specific form of computer‐based training in which participants are allowed to select various training features within a simulated software environment. Given the growing use of these systems as end‐user training (EUT) aids, there is a need for greater understanding of how participants use these systems, as well as whether participant‐controlled learning environments are truly effective. The present research examines how a particular learner characteristic, software self‐efficacy, drives appropriation in a high learner control, CSSTS environment. Contrary to notions in the literature, results from spreadsheet and database software training courses reveal that pre‐training specific software self‐efficacy constitutes a significant, negative predictor of faithful appropriations of the CSSTS. This research also establishes a positive relationship between faithful appropriation and increases in software self‐efficacy (SSE). In essence, faithful appropriations lead to greater increases in SSE, which influences software skills performance. In addition, the research validates prior EUT research by extending prior findings to a database training environment. A psychometrically sound measure is put forth to capture database self‐efficacy.     

The effects of directive self‐explanation prompts to support active processing of multiple representations in a simulation‐based learning environment

Processing of multiple representations in multimedia learning environments is considered to help learners obtain a more complete overview of the domain and gain deeper knowledge. This is based on the idea that relating and translating different representations leads to reflection beyond the boundaries and details of the separate representations. To achieve this, the design of a learning environment should support learners in adequately processing multiple representations. In this study, we compared a scientific inquiry learning environment providing instructional support with directive self‐explanation prompts to relate and translate between representations with a scientific inquiry learning environment providing instructional support with general self‐explanation prompts. Learners who received the directive prompts outperformed the learners who received general prompts on test items assessing domain knowledge. These positive results did not stretch to transfer items and items measuring learners' capabilities to relate and translate representations in general. The results suggest that learner support should promote the active relation of representations and translation between them to foster domain knowledge, and that other forms of support (e.g. extended training) might be necessary to make learners more expert processors of multiple representations.     

Interplay of prior knowledge,self‐regulation and motivation in complex multimedia learning environments

This study examined the direct and indirect effects of medical clerkship students' prior knowledge, self‐regulation and motivation on learning performance in complex multimedia learning environments. The data from 386 medical clerkship students from six medical schools were analysed using structural equation modeling. The structural model revealed that medical students' prior knowledge directly positively affected their learning outcome, self‐efficacy and performance approach goal orientation. The learners' self‐regulation had a significant positive direct effect on learning outcome. The learners' mastery goal orientation directly affected their learning outcome. Interestingly, inconsistent with our hypothesis, the learners' performance approach goal orientation showed a significant negative direct effect on learning outcome, and performance avoidance goal orientation had a significant positive effect on learning outcome. These findings help develop a more comprehensive understanding of the role of individual characteristics on learning performance of complex tasks in multimedia learning environments.     

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.     

Self‐regulation during e‐learning: using behavioural evidence from navigation log files

The current paper examined the relationship between perceived characteristics of the learning environment in an e‐module in relation to test performance among a group of e‐learners. Using structural equation modelling, the relationship between these variables is further explored in terms of the proposed double mediation as outlined by Ning and Downing. These authors initially proposed that motivation and self‐regulation strategies are mediators between the perception of the learning environment and performance. In our replication and extension study, we substituted self‐reported self‐regulation with behavioural indicators of self‐regulation using navigation log files and focused on test‐taking rather than general motivation. We proposed that navigational patterns captured using log files can also help deduce self‐regulation in e‐modules and provide information in the absence of self‐reports. Path analyses provide partial support for our navigational hypotheses and the model. Implications of our results for the use of e‐module data and conclusions based on navigation are discussed.     

A self‐tuning iterative learning controller for time variant systems

We consider the iterative learning control problem from an adaptive control viewpoint. The self‐tuning iterative learning control systems (STILCS) problem is formulated in a general case, where the underlying linear system is time‐variant and its parameters are all unknown and where its initial conditions are not constant and not determinable in various iterations. A procedure for solving this problem will be presented. The Lyapunov technique is employed to ensure the convergence of the presented STILCS. Computer simulation results are included to illustrate the effectiveness of the proposed STILCS. Copyright © 2008 John Wiley and Sons Asia Pte Ltd and Chinese Automatic Control Society     

The effects of training wheels and self‐learning materials in software training

Abstract The role of software training is becoming increasingly important due to the growing variety and complexity of modern software products. This paper focuses on the effectiveness and feasibility of two different kinds of individual learners' support in software training in classroom settings. This research question was investigated by analysing 11 text‐processing courses which were conducted on the basis of a quasi‐experimental research design. Firstly, the user interface was varied, i.e. half of the courses used the regular standard user interface of the software, whereas the other half used a training wheels interface in which all irrelevant functions were blocked. Secondly, in half of the courses all instruction was given by a human tutor whereas the participants in the other half received written self‐learning material. A total of 72 university students majoring in different fields participated. Dependent measures were learning time, learning outcome, and learner satisfaction.     

Inventing motivates and prepares student teachers for computer‐based learning

A brief, problem‐oriented phase such as an inventing activity is one potential instructional method for preparing learners not only cognitively but also motivationally for learning. Student teachers often need to overcome motivational barriers in order to use computer‐based learning opportunities. In a preliminary experiment, we found that student teachers who were given paper‐based course material spent more time on follow‐up coursework than teachers who were given a well‐developed computer‐based learning environment (CBLE), leading to higher learning outcomes. Thus, we tested inventing as an instructional method that may help overcome motivational barriers of teachers' use of computer‐supported tools or learning environments in our main experimental study (N = 44). As a computer‐based environment, we used the ‘Assessment of Learning strategies in Learning journals’. The inventing group produced ideas about criteria to evaluate learning strategies based on student cases prior to the learning phase. The control condition read a text containing possible answers to the inventing problem. The inventing activity enhanced motivation prior to the learning phase and assessment skills as assessed by transfer problems. Hence, the inventing activity prepared student teachers to learn from a CBLE in a motivational as well as cognitive way.