Networked learning: design considerations for online instructors

The considerable increase in web-based knowledge networks in the past two decades is strongly influencing learning environments. Learning entails information retrieval, use, communication, and production, and is strongly enriched by socially mediated discussions, debates, and collaborative activities. It is becoming critical for educators to better understand and become skilled at utilizing online networks and their affordances to improve the quality of learning experiences for their students. Along the same lines, networked learning could be seen as an effort to respond to the advances in electronic networks by putting the focus on the students and paying close attention to their educational needs, learning preferences, and social interactions. The aim of this paper is to review and synthesize empirical research on networked learning for online higher education courses and offer suggestions for future studies based on the gaps found in the literature. Implications of networked learning for instructional design are also discussed.     

Not that different in theory: Discussing the control-value theory of emotions in online learning environments

This commentary investigates the extent to which the control-value theory of emotions (Pekrun, 2006) is applicable in online learning environments. Four empirical studies in this special issue of The Internet and Higher Education explicitly used the control-value theory as their theoretical framework and several others have components of the theory implicitly described. Thus, for each article we examined what emotions were expressed, the antecedents of the emotions, and their academic outcomes in relation to the control-value theory of emotions. In general, the results from these studies parallel those in traditional classrooms, suggesting there are few differences in emotions experienced in online learning environments relative to face-to-face classrooms. A primary reason for the observed similarities in emotions may be that control and value appraisals play consistent roles as antecedents of specific emotions even though students’ learning environment is dramatically different. We conclude with suggestions for future research.     

Understanding and measuring emotions in technology-rich learning environments

Technology-rich learning environments (TREs) play an increasingly important role for 21st century education, and the emotions learners experience in these environments are pivotal for their cognitive and affective learning gains. The contributors to this special issue address the importance of understanding and measuring emotions in TREs as a mechanism for fostering learning. In particular, the special issue situates this research with a systemic review and meta-analysis of the literature on emotions in TREs. Following this review empirical research is presented on measuring emotions in the context of learning with TREs in multiple domains, including medicine, history, and mathematics. These researchers use concurrent measures to capture students’ cognitive, metacognitive and affective processes before, during, and after solving problems, documenting the complex role of such processes as individuals and groups learn with technology. The special issue concludes with two commentaries that point the way to next steps in this field of research.     

Eduscape: The effects of servicescapes and emotions in academic learning environments

Conceptual and empirical studies on the impact of physical environments in educational settings are lacking. In comparison, consumption environments research has a rich history. In this paper we bring together these two research streams to develop (Study 1) and test (Study 2) an ‘Eduscape’ model of the effects of emotions and servicescape factors in higher education settings. Study 1 (423 students) explores aspects of the physical environment. Building on Study 1, Study 2 uses structural equation modelling (209 students) to test the proposed conceptual model. The results highlight that comfort, temperature/humidity, functionality/design and acoustics/visual features are key in determining students’ pleasure within the environment. Although Study 1 highlights that cleanliness/upkeep is important to students, Study 2 does not find statistical support for this association. The proposed model also emphasizes the links between students’ pleasure derived from the environment and their satisfaction, engagement/involvement and approach behaviour.     

Measuring self-regulation in online and blended learning environments

In developing the Online Self-regulated Learning Questionnaire (OSLQ) to address the need for an instrument measuring self-regulation in the online learning environment, this study provides evidence toward the reliability and validity of the instrument. Data were collected from two samples of students. The first sample of students took coursework using an online course format while a second sample of students took coursework delivered via a blended or hybrid course format. Cronbach alpha (α) and confirmatory factor analyses were performed to assess the psychometric properties of the OSLQ across both samples of students. Results indicate the OSLQ is an acceptable measure of self-regulation in the online and blended learning environments.     

Building student trust in online learning environments

As online learning continues to gain widespread attention and thrive as a legitimate alternative to classroom instruction, educational institutions and online instructors face the challenge of building and sustaining student trust in online learning environments. The present study represents an attempt to address the challenge by identifying the social and technical factors that can likely induce or influence students’ perception about the trustworthiness of an online course and integrating the factors into a socio-technical framework that can be empirically validated. The methodology used and the data obtained from a university-wide survey conducted in an American university are reported in this article. Feedback from students with disabilities was further investigated, and the result has important implications for our understanding of disabled students’ acceptance for online learning.     

Predicting student satisfaction and perceived learning within online learning environments

Student satisfaction is used as one of the key elements to evaluate online courses, while perceived learning is considered as an indicator of learning. This study aimed to explore how online learning self-efficacy (OLSE), learner–content interaction (LCI), learner–instructor interaction (LII), and learner–learner interaction (LLI) can predict student satisfaction and perceived learning. A total of 167 students participated in this study. Regression results revealed that the overall model with all four predictor variables (OLSE, LCI, LII, and LLI) was significantly predictive of satisfaction and perceived learning. The study found that LCI was the strongest and most significant predictor of student satisfaction, while OLSE was the strongest and most significant predictor of perceived learning. However, LLI was not predictive of student satisfaction and perceived learning. This study suggests that instructors employ strategies that enhance students’ OLSE, LCI, and LII. Research is needed to understand how LLI fosters student learning and satisfaction.     

Examining positive emotions,autonomy support and learning strategies: Self-directed versus teacher-directed learning environments

Learning Environments Research - An increasing number of German schools have suspended teacher-directed learning (TL) in favor of self-directed learning (SL) modules. We used the broaden-and-build...     

Modeling collective attention in online and flexible learning environments

Understanding how collective attention flow circulates amid an over-abundance of knowledge is a key to designing new and better forms of online and flexible learning experiences. This study adopted an open flow network model and the associated distance metrics to gain an understanding of collective attention flow using clickstream data in a massive open online course. Various patterns and dynamics of attention flow were identified and are discussed here in relation to learning performance. The results show that the effective accumulation, circulation, and dissipation of attention flow are important contributors to academic attainment. Understanding the patterns and dynamics of attention flow will allow us to design cost-effective learning resources to prevent learners from becoming overloaded.     

Exploring the complex relations between achievement emotions and self-regulated learning behaviors in online learning

Online learning continues to grow, but there is limited empirical research on the personal factors that influence success in online contexts. This investigation addresses this research gap by exploring the relations between several discrete achievement-related emotions (boredom, frustration, and enjoyment) and self-regulated learning behaviors (elaboration and metacognition) in an online course. Results from a survey of 302 undergraduates participating in an online course indicated that enjoyment, a positive activating emotion, was a positive predictor of elaboration and metacognition. Moreover, consistent with previous findings from a similar sample, frustration, a negative activating emotion, emerged as a positive predictor of metacognition. Implications for the theory, research, and practice of online learning are discussed, as are theoretical implications for understanding students' achievement emotions and self-regulated learning behaviors.     

Cognitive attainment in online learning environments: matching cognitive and technological presence

To know whether students' achievements are the result of online interaction and not just a consequence of individual differences themselves, it seems essential to link the cognitive results to the students' online behavior (technological presence). In technological presence, interaction is based on the degree in which the online student senses the availability of, and connectedness with, other students, the teacher, and the context. Cognitive presence as a part of the interaction process of teaching and learning reflects the level of accomplishment in online learning environments (cognitive attainment). The purpose of this article is to show some evidence of the mutual influence of the students' technological behaviors and the students' cognitive factors in online learning environments – including teacher and instructional design factors. Two thousand one-hundred thirty written computer-mediated communications from 88 participants in four prototypical online learning activities have been analyzed for this purpose. The analysis shows the influence of technological presence on the quality of learning results of the online knowledge construction process. The conclusions point out the importance of considering technological presence as a new and complementary type of presence as it provides relevant information for instructional and technological design.     

How achievement emotions impact students' decisions for online learning,and what precedes those emotions

This empirical study investigates students' learning choices for mathematics and statistics in a blended learning environment, composed of both online and face-to-face learning components. The students (N = 730) were university freshmen with a strong diversity in prior schooling and a wide range of proficiency in quantitative subjects. In this context, we investigated the impact that individual differences in achievement emotions (enjoyment, anxiety, boredom, hopelessness) had on students' learning choices, in terms of the intensity of using the online learning mode versus the face-to-face mode. Unlike the general level of learning activities, which is only minimally influenced by achievement emotions, these emotions appear to have a moderately strong effect on a student's preference for online learning. Following this, we explored the antecedents of achievement emotions. Through the use of path-modeling, we conclude that while goal setting behavior only marginally impacts achievement emotions, effort views—a crucial component of the social-cognitive model of implicit theories of intelligence—have a substantial impact on achievement emotions.     

Evaluating the use of metaphor in online learning environments

Metaphor appears to be an innate tendency in human communication and can be shown to have significant potential when applied to the design of online learning environments. This paper describes and discusses an example of an online research methods learning resource that employs metaphoric navigation. Feedback from the tutors who design and populate the resource and from early pilots with student users is discussed. A particular focus for the discussion is the problem faced by sufferers of autism spectrum disorder, brain damage, and other cognitive disabilities that affect the comprehension of metaphor. Research that demonstrates that autistic tendencies also exist in members of the general population is also discussed as an important consideration in learning environment design. The paper concludes that there appears to be evidence that many people in the general population have traits associated with autism spectrum disorder that are likely to affect their engagement with online learning. This variation in approaches to learning strongly suggests that one single online environment is unlikely to facilitate learning equally in all students. Currently most learning sites and commercial and open source virtual learning environments offer some facility for customization of the interface, but no opportunity for students to choose from a range of environments in which to study. This paper argues that the creation of multiple learning environments which overlay the same learning content is a priority if we are to optimize the experience for the greatest number of learners and avoid exclusion due to disability or learning preferences.     

Expectancy-value appraisals and achievement emotions in an online learning environment: Within- and between-person relationships

Motivation and emotion are of critical importance for students' academic learning and achievement. Drawing on Eccles and Wigfield's situated expectancy-value theory and Pekrun's control-value theory, we examined to what extent specific expectancy-value appraisals related to studentsʼ achievement emotions. We collected intensive state data of N = 95 university students over one semester in an online learning environment. Students' appraisals were analyzed on different aggregation levels in a hierarchical design, which accounts for variability within learning situations and between students. Our results corroborated theoretical assumptions that expectancy-value appraisals are positively associated with positive emotions and negatively with negative emotions. However, we found that students experienced positive emotions in learning situations of high intrinsic and utility value, but not in situations of high attainment value. Examining appraisal combinations and discrete emotions, we found that particularly studentsʼ perceived costs moderated the relationship between expectancy and frustration and boredom on the situation level.     

Toward constructivism for adult learners in online learning environments

Since online learning has a different setting from the conventional classroom, online educators need to use some special techniques and perceptions to lead to success. Moreover, adults have special needs and requirements as learners compared with children and adolescents, thus online educators should know how adults can learn best because of their special characteristics. Philosophical and methodological shifts also affect instruction. Many researchers have suggested that constructivism should be applied in distance education. Thus, this paper attempts to examine the impact of constructivism in online learning environments when focusing on adult learners. The author develops the connection between constructivism and adult learning theory. In addition, the paper proposes instructional guidelines using the constructivist approach in online learning for adults.     

Understanding student engagement in online learning environments: the role of reflexivity

It is important to develop understanding of what underpins the engagement of students in online learning environments. This article reports on a multiple case study that explored student engagement in a set of postgraduate degrees offered on a fully online basis. The study was based on a theorization of student engagement as the exercise of intentional human action, .or agency. It identified ways in which tasks and social relations in the online learning environments triggered reflexivity on the part of students, with ‘reflexivity’ understood to mean the ordinary mental capacity to consider oneself in relation to one’s social setting. A different relationship between reflexivity and student engagement was in view than that identified by Margaret Archer with regard to reflexivity and social mobility. Rather than displaying one dominant mode of reflexivity, the students considered in the study were seen to draw on a range of modes. The engagement of these students in their learning was also seen to depend on the manner in which they engaged in reflexivity centred on the pursuit of shared goals, that is in collective reflexivity. Specific practices were seen to trigger constructive forms of collective reflexivity, while fractured and restricted forms of collective reflexivity were linked to student disengagement in relation to joint tasks. As well as adverting to the importance of collective reflexivity to learning, the study highlights scope for dissonance between the modes of reflexivity and practices favoured by an online learning environment and the reflexive profile of the student.