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.     

Motivational beliefs and perceptions of instructional quality: predicting satisfaction with online training*

Abstract Many would agree that learning on the Web – a highly autonomous learning environment – may be difficult for individuals who lack motivation and self‐regulated learning skills. Using a social cognitive view of academic motivation and self‐regulation, the objective of the present study was to investigate the relations between students' motivational beliefs, their perceptions of the learning environment and their satisfaction with a self‐paced, online course. Service academy undergraduates (n = 646) completed a questionnaire following online training. Pearson correlations indicate that task value, self‐efficacy and perceived instructional quality were significantly positively related to each other and to students' overall satisfaction with the self‐paced, online course. Additionally, results from a three‐step hierarchical regression reveal that task value, self‐efficacy and instructional quality were significant positive predictors of students' satisfaction; the final regression model accounted for approximately 54% of the variance in the outcome measure. These findings support and extend prior research in traditional classrooms and online education in university settings, indicating that military students' motivational beliefs about a learning task and their perceptions of instructional quality are related, in important ways, to their overall satisfaction with online instruction. Educational implications and suggestions for future research are discussed.     

Effect of blended learning environment on transfer of learning: an experimental study

The main purpose of the study is to investigate the effect of the blended learning and face‐to‐face learning on students' academic achievements and transfer of learning. The first aim of the study is to analyse the students' academic achievements to determine the change of theoretical knowledge in terms of the instructional method applied in this study. However, students' performances during the learning process are not always a good indicator. Therefore, the second aim of the study is to examine transferring students' theoretical knowledge to their educational multimedia projects. For this purpose, 14 weeks of pre‐ and post‐test experimental study is designed. The study is administered through an educational technology course in which students learn how to develop educational multimedia materials. The participants are undergraduate pre‐service teachers; they are assigned randomly to the experimental and control group. While the experimental group has both online and classroom sessions, the control group has only face‐to‐face classroom sessions. Although there is no significant difference between the groups in terms of academic achievement, the students in the blended group are more successful in transferring their knowledge to their projects than the ones in the face‐to‐face group. In conclusion, the results show that the blended learning approach has a positive effect on the transfer of learning.     

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.     

Measuring cognitive load in test items: static graphics versus animated graphics

The majority of multimedia learning studies focus on the use of graphics in learning process but very few of them examine the role of graphics in testing students' knowledge. This study investigates the use of static graphics versus animated graphics in a computer‐based English achievement test from a cognitive load theory perspective. Three hundred and three 7th‐grade students were randomly split into two groups and given the test questions either with static graphics or with animated graphics accompanied with text. Students' response time, response accuracy, self‐reported ratings on cognitive load and secondary task approach were used to measure their cognitive load. Findings revealed that animating graphics increased the response time and secondary task scores of the students but did not have any significant effect on their test success. Furthermore, no difference was observed in self‐reported cognitive loads. The relationship between the four different cognitive load measures was also examined in the study. No direct relation was found between self‐reported ratings and secondary task scores. On the other hand, self‐ratings and response accuracy were found to be more sensitive to intrinsic cognitive load, whereas response time and secondary task measures were found to be more sensitive to extraneous cognitive load in our testing environment.     

Developing a web‐based multimedia assessment system for facilitating science laboratory instruction

This study developed a web‐based multimedia assessment system (WMA system) and applied it to science laboratory instruction. The goal was to improve students' knowledge acquisition under science laboratory instruction. The developed system enabled learners to perform self‐assessments by responding to multimedia technology test items online. The system recorded each learner's complete answer history and provided the students with personalized learning resources. This study adopted a quasi‐experimental research design. The learning content was an “experiment on separating mixtures.” Students participating in the research were divided into a typical science laboratory instruction group (TI group; n = 25) and a group that received instruction through the WMA system (WMA group; n = 26). Before instruction, all the students completed the conceptual knowledge and experimental knowledge pretests. During instruction, the TI group watched the teacher's demonstration experiment, and the students then performed the experiment in a real laboratory. In the WMA group, after learning through the WMA system, the students also performed the experiment in a real laboratory. After instruction, all the students completed the conceptual knowledge and experimental knowledge posttests. The findings indicated that the students in the WMA group showed significantly higher improvements in their scientific conceptual knowledge and experimental knowledge.     

Learning with video‐based examples – Are you sure you do not need help?

This study investigated help‐seeking activities in a computer‐based environment teaching argumentative skills by videos of argumentative dialogues of teachers who discussed controversy issues in the context of a workshop. Learners, all of them students of educational sciences, solved learning tasks on the presented argumentative dialogues and reflected on their response certitude. Forty‐three students voluntary took part in the study. Two experimental groups varied according to the type of task they solved. Group 1 got adjunct questions, so‐called self‐explanation prompts that elicited elaboration of the video content. Group 2 answered multiple‐choice tasks that assessed the same knowledge. After each task, participants of both groups (a) had to judge the certainty of their response being correct (i.e., the marking of the multiple‐choice task or the written self‐explanations) and (b) were offered to use the help function on demand. Results revealed the relevance of learners' response certitude with respect to their help use. Low response certitude about the correctness of a task solution led to higher help use which was positively related to learning outcome. However, learners' response certitude was unrelated to the actual correctness of their task solution. Type of task had no influence on response certitude, help use or learning outcome.     

Enjoy and learn with educational games: Examining factors affecting learning performance

Educational games have enhanced the value of instruction procedures in institutions and business organizations. Factors that increase students' adoption of learning games have been widely studied in past; however, the effect of these factors on learners' performance is yet to be explored. In this study, factors of Enjoyment, Happiness, and Intention to Use were chosen as important attitudes in learning educational games and increasing learning performance. A two-step between group experiment was conducted: the first study compared game-based learning and traditional instruction in order to verify the value of the game. 41 Gymnasium (middle school) students were involved, and the control and experimental groups were formed based on a pretest method. The second study, involving 46 Gymnasium students, empirically evaluates whether and how certain attitudinal factors affect learners' performance. The results of the two-part experiment showed that a) the game demonstrated good performance (as compared to traditional instruction) concerning the gain of knowledge, b) learners' enjoyment of the game has a significant relation with their performance, and c) learners' intention to use and happiness with the game do not have any relation with their performance. Our results suggest that there are attitudinal factors affecting knowledge acquisition gained by a game.     

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.     

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.     

Assessing the effects of different multimedia materials on emotions and learning performance for visual and verbal style learners

Multimedia materials are now increasingly used in curricula. However, individual preferences for multimedia materials based on visual and verbal cognitive styles may affect learners' emotions and performance. Therefore, in-depth studies that investigate how different multimedia materials affect learning performance and the emotions of learners with visual and verbal cognitive styles are needed. Additionally, many education scholars have argued that emotions directly affect learning performance. Therefore, a further study that confirms the relationships between learners' emotions and performance for learners with visual and verbal cognitive styles will provide useful knowledge in terms of designing an emotion-based adaptive multimedia learning system for supporting personalized learning. To investigate these issues, the study applies the Style of Processing (SOP) scale to identify verbalizers and visualizers. Moreover, the emotion assessment instrument emWave, which was developed by HeartMath, is applied to assess variations in emotional states for verbalizers and visualizers during learning processes. Three different multimedia materials, static text and image-based multimedia material, video-based multimedia material, and animated interactive multimedia material, were presented to verbalizers and visualizers to investigate how different multimedia materials affect individual learning performance and emotion, and to identify relationships between learning performance and emotion. Experimental results show that video-based multimedia material generates the best learning performance and most positive emotion for verbalizers. Moreover, dynamic multimedia materials containing video and animation are more appropriate for visualizers than static multimedia materials containing text and image. Finally, a partial correlation exists between negative emotion and learning performance; that is, negative emotion and pretest scores considered together and negative emotion alone can predict learning performance of visualizers who use video-based multimedia material for learning.     

Assessing the effects of different multimedia materials on emotions and learning performance for visual and verbal style learners

Multimedia materials are now increasingly used in curricula. However, individual preferences for multimedia materials based on visual and verbal cognitive styles may affect learners' emotions and performance. Therefore, in-depth studies that investigate how different multimedia materials affect learning performance and the emotions of learners with visual and verbal cognitive styles are needed. Additionally, many education scholars have argued that emotions directly affect learning performance. Therefore, a further study that confirms the relationships between learners' emotions and performance for learners with visual and verbal cognitive styles will provide useful knowledge in terms of designing an emotion-based adaptive multimedia learning system for supporting personalized learning. To investigate these issues, the study applies the Style of Processing (SOP) scale to identify verbalizers and visualizers. Moreover, the emotion assessment instrument emWave, which was developed by HeartMath, is applied to assess variations in emotional states for verbalizers and visualizers during learning processes. Three different multimedia materials, static text and image-based multimedia material, video-based multimedia material, and animated interactive multimedia material, were presented to verbalizers and visualizers to investigate how different multimedia materials affect individual learning performance and emotion, and to identify relationships between learning performance and emotion. Experimental results show that video-based multimedia material generates the best learning performance and most positive emotion for verbalizers. Moreover, dynamic multimedia materials containing video and animation are more appropriate for visualizers than static multimedia materials containing text and image. Finally, a partial correlation exists between negative emotion and learning performance; that is, negative emotion and pretest scores considered together and negative emotion alone can predict learning performance of visualizers who use video-based multimedia material for learning.     

Delaying elaborated feedback within computer-based learning environments: The role of summative and question-based feedback

Elaborative feedback (EF) containing explanations on students' responses benefits learning. Computer-based environments provide learners with EF in different ways, for example, on an immediate question-by-question basis or after answering a set of questions. Recent findings also suggest that delaying EF enhances learning. However, it is unclear to what extent different types of delayed-EF favour students' performance. This study examines whether and how two types of delayed-EF (question-based vs. summative) influence students' question-answering performance and final learning over immediate-EF. One hundred thirty-three secondary-school students read a scientific text and answered 12 multiple-choice questions in a computer-based environment. A day later, students completed a final learning test with 20 open-ended questions. Results showed that neither question-based delayed EF nor summative delayed EF outperformed immediate EF. However, EF moderated the relationship between students' prior knowledge and their performance outcomes, suggesting that students with higher levels of prior knowledge receiving summative delayed EF benefited more.     

Determinants of college students' use of online collaborative help‐seeking tools

Research has noted the effectiveness of online tools (e.g., discussion boards) for supporting help seeking among class members. However, help seeking is not necessarily warranted via online learning tools because some factors (e.g., low Internet self‐efficacy) may influence students' intention to use them. This study aims to identify the determinants of students' use of a web‐based help‐seeking tool called EchoLu. For this purpose, a structural model was developed based on technology acceptance model and tested using a structural equation modelling approach. According to the data analysis results, general Internet self‐efficacy, information‐search self‐efficacy, web‐based learning self‐efficacy, and EchoLu‐specific self‐efficacy play a significant role in students' intentions to use online help‐seeking tools. Contrary to the previous research, no statistically significant relationship was found between general Internet self‐efficacy and EchoLu‐specific self‐efficacy, and between web‐based learning self‐efficacy and perceived usefulness. Implications of the findings for guiding practitioners in supporting effective help‐seeking are presented. Limitations of the study and future research prospects are discussed as well.     

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.     

Can more interactivity improve learning achievement in an online course? Effects of college students' perception and actual use of a course-management system on their learning achievement

This study aims to investigate how interactivity influence learners' use of interactive functions in the course-management system (CMS) and their online learning performance. A two-tier mediation framework is proposed to examine the mediating effects of different actual-use records concerning the CMS's interactive functions. Data are collected from 381 undergraduate students who enrolled in a general-education asynchronous online course from three universities in Taiwan. The results indicate that the relationships among students' self-reported use of interactive functions, students' perceptions of the usefulness of interactive functions, and students' actual-use logs have some direct influences on students' online learning performance (online-discussion scores, exam scores, and group-project scores). In addition, students' actual-use logs (the number of times of log-ins to the online course, the number of times students read learning materials, and the number of postings on the discussion board) have a mediated effect on students' self-reported frequency of logging into the CMS, students' self-reported frequency of using the learner–instructor/learner–learner interactive functions, and online learning performance. The findings and implications could constitute a useful guide for educational practitioners and designers concerned with the effective integration of interactivity into future online courses.     

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.     

Effects of simulation‐based learning on students' statistical factual,conceptual and application knowledge

The purpose of this study was to (1) examine the effects of a storyline on learners' factual, conceptual and application knowledge with the use of a simulation for teaching introductory statistical skills and to (2) explore students' subjective enjoyment of various learning activities often used in statistics education. In order to conduct the study, two versions of a simulation were developed that differed in the presence or absence of a storyline attribute. Sixty‐four graduate students were randomly assigned to one of the two intervention conditions. Both intervention groups demonstrated significantly higher learning gains after interacting with the simulation. Particularly, both simulation‐based interventions had a positive significant effect on the acquisition of application knowledge and skills. However, no significant differences between the intervention groups on any learning outcome explored in the study were found. Results also showed that students rated the simulation used in the study as a more enjoyable learning activity in comparison to reading a textbook, lecture or teamwork. Students from the simulation without a storyline intervention reported higher enjoyment than the other intervention group. Implications of the findings for understanding the instructional benefits and shortcomings of embedding a storyline in digital learning content are discussed.     

Peer interaction: the experience of distance students at university level

This study investigates how university students on distance learning courses experience interaction with their peers. Students on two distance learning courses at The Open University (UK) were interviewed, to investigate learners' experience of interaction on these courses. The analysis, using a grounded‐theory approach, reveals disparities between course designers' and students' reasons for integrating computer‐mediated interaction within the courses. It draws attention to the significant affective challenges that online students face when working together, and demonstrates a need to pay attention to their problems with self‐presentation. The study also reinforces the socio‐cultural view that it is important to consider the various contexts in which online learning takes place. Distance students have opportunities to structure their own learning contexts, and this allows them to source face‐to‐face learning interaction and other forms of support as they engage with individuals in their everyday environment.     

Chinese undergraduate students' perceptions of mobile learning: Conceptions,learning profiles,and approaches

Close links between students' conceptions of and approaches to learning were established in the past research. However, only a few quantitative studies investigated this relationship particularly with regard to mobile learning (m‐learning). The correlation between learners' conceptions and approaches to m‐learning was analysed using a partial least squares analysis applied to data obtained from a sample of 971 undergraduate students in China. The results indicated that students' conceptions of m‐learning could be classified into reproductive, transitional, and constructive levels. Students may hold multiple m‐learning applications than a predominant one; hence, examining m‐learning as one monolithic entity may provide limited information. Latent profile analysis identified four learning profiles based on students' preferred m‐learning applications: passive, mixed, surface‐supportive, and high‐engagement.. Moreover, a general trend was observed, whereby students with reproductive and surface‐supportive learning profiles showed a tendency to adopt surface approaches, whereas those expressing constructive and mixed learning profiles were more inclined to adopt deep approaches. Interestingly, students with transitional conceptions and high‐engagement learning profiles tended to take both surface and deep approaches.