A theory of online learning as online participation

In this paper, an initial theory of online learning as online participation is suggested. It is argued that online learner participation (1) is a complex process of taking part and maintaining relations with others, (2) is supported by physical and psychological tools, (3) is not synonymous with talking or writing, and (4) is supported by all kinds of engaging activities. Participation and learning are argued to be inseparable and jointly constituting. The implication of the theory is straightforward: If we want to enhance online learning, we need to enhance online learner participation.     

Applying social learning analytics to message boards in online distance learning: A case study

Social learning analytics introduces tools and methods that help improving the learning process by providing useful information about the actors and their activity in the learning system. This study examines the relation between SNA parameters and student outcomes, between network parameters and global course performance, and it shows how visualizations of social learning analytics can help observing the visible and invisible interactions occurring in online distance education.The findings from our empirical study show that future research should further investigate whether there are conditions under which social network parameters are reliable predictors of academic performance, but also advises against relying exclusively in social network parameters for predictive purposes. The findings also show that data visualization is a useful tool for social learning analytics, and how it may provide additional information about actors and their behaviors for decision making in online distance learning.     

Social presence in relation to students' satisfaction and learning in the online environment: A meta-analysis

Social presence, the ability to perceive others in an online environment, has been shown to impact student motivation and participation, actual and perceived learning, course and instructor satisfaction, and retention in online courses; yet very few researchers have attempted to look across contexts, disciplinary areas, or measures of social presence. This meta-analysis allowed us to look across these variables of the primary studies and identify the pattern of student outcomes (e.g., perceived learning and satisfaction) in relation to social presence through scrutiny of differences between the studies. The results showed a moderately large positive average correlation between social presence and satisfaction (r = 0.56, k = 26) and social presence and perceived learning (r = 0.51, k = 26). Large variation among correlations (86.7% for satisfaction and 92.8% for perceived learning, respectively) also indicated systematic differences among these correlations due to online course settings. We found that (a) the strength of the relationship between social presence and satisfaction was moderated by the course length, discipline area, and scale used to measure social presence; and (b) the relationship between social presence and perceived learning was moderated by the course length, discipline area, and target audience of the course. Implications and future research are discussed.     

The effects of trust and constructive controversy on student achievement and attitude in online cooperative learning environments

This study investigated the effects of trust and constructive controversy on student achievement and attitude in online cooperative learning environments. Students in one university course were randomly assigned to one of the two treatment groups after they took part in a common initial workshop on general cooperative learning skills. The “trust” and the “constructive controversy” groups received subsequent associated skills training. The overall results indicated that after each group received the treatment during online cooperative group activities, the “trust” groups had significantly higher achievement than the “constructive controversy” groups. In addition, the “trust” groups had significantly more positive attitudes toward online cooperative learning than the “constructive controversy” groups. Specifically, using “trust” building strategies was significantly more effective than using “constructive controversy” strategies for improving the ‘openness and sharing’ and ‘acceptance and support’ components of student attitudes in online cooperative learning environments.     

Modeling the continuance usage intention of online learning environments

This study focused on the continuance usage intention toward online learning environments and also proposed and empirically tested an integrated model to better understand the determinants of students’ continuance intention to use these environments. For this purpose, variables which may have an effect on the continuance usage intention were examined and an “online continuance usage intention model” was revealed. When the variables of the hypothetical model were determined, Technology Continuance Theory, Information Systems Success Model, Cognitive Model and Information Systems Expectation Confirmation Model have been practiced on. Empirical data from 467 public university students who had used an online learning environment for the first time were tested against the proposed research model by using path analysis. The results indicated that, confirmation of the usage of online learning environments could be explained by information quality, system quality and service quality variables. 63% of the variance of the satisfaction variable was explained by information quality, system quality, service quality, confirmation, utilitarian value, outcome expectations and perceived value. Research results confirmed the propounded constructs of Information Systems Success Model and Information Systems Expectation Confirmation Model. In line with the obtained findings and results, some of the various suggestions were provided for the next studies and implementations.     

Team participation and online gamer loyalty

Online games have emerged as popular computer applications and gamer loyalty is vital to game providers, since online gamers frequently switch between games. Online gamers often participate in teams also. This study investigates whether and how team participation improves loyalty. We utilized a cross-sectional design and an online survey, with 546 valid responses from online game subjects. Confirmatory factor analysis was applied to assess measurement reliability and validity directly, and structural equation modeling was utilized to test our hypotheses. The results indicate that participation in teams motivates online gamers to adhere to team norms and satisfies their social needs, also enhancing their loyalty. The contribution of this research is the introduction of social norms to explain online gamer loyalty.     

A study of the relationships among learning styles, participation types, and performance in programming language learning supported by online forums

This study is focused on the relationships among learning styles, participation types, and learning performance for programming language learning supported by an online forum. Kolb’s learning style inventory was used in this study to determine a learner’s learning type: ‘Diverger’, ‘Assimilator’, ‘Converger’, and ‘Accommodator’. Social Learning Theory was also used to define four participation types. These types in turn were used to describe the learning associated with the use of online forums: ‘Replier’, ‘Asker’, ‘Watcher’, and ‘No activity’.A total of 144 students participated in this experiment as part of a half semester ASP.NET programming language learning courses. The course contained an online forum for supporting the students’ social activities and participation. In this study, ‘learning score’ and ‘satisfaction’ were used to measure learning performance.The results of this study were the following: (1) different learning styles were associated with significantly different learning scores and that the ‘Accommodator’ style was associated with superior learning scores; (2) participation types were also associated with significantly different learning scores and that the ‘Replier’ type is associated with superior learning scores; (3) learning satisfaction is not significantly different among the different learning styles or different participation types, but the average is significantly higher than average values (3.5) of 7-point Likert scale; (4) there is no significant association between learning styles and participation types. Explanations and discussions of these results are offered.Based on the results of this study, we propose that programming language learning, supported with online forums and students’ active participation, increases learning performance as measured by student learning scores.     

An online game approach for improving students’ learning performance in web-based problem-solving activities

In this paper, an online game was developed in the form of a competitive board game for conducting web-based problem-solving activities. The participants of the game determined their move by throwing a dice. Each location of the game board corresponds to a gaming task, which could be a web-based information-searching question or a mini-game; the former was used to guide the participants to search for information to answer a series of questions related to the target learning issue, while the latter was used to provide supplementary materials during the gaming process. To evaluate the performance of the proposed approach, an experiment was conducted on an elementary school natural science course. The experimental results showed that the proposed approach not only significantly promoted the flow experience, learning attitudes, learning interest and technology acceptance degree of the students, but also improved their learning achievements in the web-based problem-solving activity.     

Five facets of social presence in online distance education

Social presence in online learning environments refers to the degree to which a learner feels personally connected with other students and the instructor in an online learning community. Based on a 19 item Online Social Presence Questionnaire (OSPQ) given to college students in two different online learning courses, a series of exploratory and confirmatory factor analyses consistently revealed five factors representing facets of social presence in online learning environments: social respect (e.g. receiving timely responses), social sharing (e.g., sharing information or expressing beliefs), open mind (e.g., expressing agreement or receiving positive feedback), social identity (e.g., being called by name), and intimacy (e.g., sharing personal experiences). Together, the five factors accounted for 58% of the variance and were based on 19 items. Although much previous research focuses on cognitive aspects of learning in online environments, understanding the role of the learner’s sense of presence may be particularly important in distance learning situations in which students and the instructor are physically separated.     

Investigating the relationships among instructional strategies and learning styles in online environments

This exploratory study tests the assertion that instructional strategies that match field-dependence status of students are most effective. The study conducted with 12 graduate students registered in a graduate level online course. An online version of the Psychological Differentiation Inventory was used to measure the field-dependence status of students. Students’ perceived learning outcomes, their effort and involvement, and level of interaction that they perceived in online course module were measured through an online questionnaire. Results suggested that matches between students’ learning styles and instructional strategies did not affect learner perception of their own learning outcomes, level of effort and involvement, and level of interactions in the course. Data also indicated that no single instructional strategy, among three instructional strategies tested, emerged as superior for high and low field-dependent online students.     

Investigating ICT using problem-based learning in face-to-face and online learning environments

This article reports on the design, implementation and evaluation of a module in the MEd (Business) in the Faculty of Education at the University of Hong Kong in which an explicit problem-based learning (PBL) approach was used to investigate the challenges associated with the adoption and use of information and communication technologies (ICT) in Hong Kong secondary school classrooms. PBL influenced both the way the curriculum was developed and the process by which students (n = 18) investigated topics related to the integration of ICT in business studies classrooms. The evaluation was based on five evaluative questions dealing with the implementation of PBL, the extent to which PBL facilitated academic discourse, the extent of ‘new’ knowledge about ICT that had been created, the role of the tutor, and the online learning environment provided. The evaluation revealed that PBL provided a practical approach to investigating ICT in both face-to-face and online learning environments, leading to ‘new’ knowledge about challenges associated with the adoption and use of new technologies in various educational settings.     

Explaining social presence and the quality of online learning with the SIPS model

The concept of Social Presence is often cited by researchers trying to understand the mechanisms governing beneficial learning climates and interpersonal connections among online learners. However, convoluted definitions and problematic measurements of social presence have made it difficult to understand how exactly social presence and related social variables come to be, hindering the investigation of reliable design recommendations. This study attempts to advance the SIPS (Sociability, Social Interaction, Social Presence, Social Space) model. It shows how these variables are related to each other and to relevant outcome variables like satisfaction. Partial Least Squares Structural Equation Modeling (PLS-SEM) was used to assess the predictive capabilities of the model regarding the outcome variables. Results support the notion that a sociable learning environment fosters social interaction, leading to social presence and the emergence of a sound social space, in turn explaining the quality of the learning experience. Social presence, when measured in a non-convoluted way, has no effect on satisfaction.     

Ensemble of online sequential extreme learning machine

Liang et al. [A fast and accurate online sequential learning algorithm for feedforward networks, IEEE Transactions on Neural Networks 17 (6) (2006), 1411–1423] has proposed an online sequential learning algorithm called online sequential extreme learning machine (OS-ELM), which can learn the data one-by-one or chunk-by-chunk with fixed or varying chunk size. It has been shown [Liang et al., A fast and accurate online sequential learning algorithm for feedforward networks, IEEE Transactions on Neural Networks 17 (6) (2006) 1411–1423] that OS-ELM runs much faster and provides better generalization performance than other popular sequential learning algorithms. However, we find that the stability of OS-ELM can be further improved. In this paper, we propose an ensemble of online sequential extreme learning machine (EOS-ELM) based on OS-ELM. The results show that EOS-ELM is more stable and accurate than the original OS-ELM.     

Participation,interaction, and academic achievement in an online discussion environment

Though online writing can be beneficial for diverse students in out-of-school environments, there is little consensus on the value of its use in schools. This study examined the online discussion of 48 fifth-grade students and their teachers over the 2009–2010 school year in a public school with large numbers of English learners. We collected students' statewide standardized writing and reading test scores, as well as an archive of all participants' discussion threads during the school year. Students' participation and interaction pattern in the online discussion environment over a school year was examined using growth model analysis and social network analysis. The effect of students' participation on their academic achievement was analyzed using multiple regressions. The results suggest that well-designed online discussions among linguistically diverse upper elementary students can result in increased participation and interaction, leading to language and literacy development.     

The impact of transactional distance dialogic interactions on student learning outcomes in online and blended environments

This study measured how student interactions (as captured by Transactional Distance dialogue (Moore, 1993)) in online and blended learning environments impacted student learning outcomes, as measured by student satisfaction and student grades. Dialogue was measured as student interactions with other students (student–student interaction), the technologies used (student–technology interaction), the instructors (student–teacher interaction), and the course contents (student–content interaction). In addition, moderating effects of media and modality of interactions and individual differences on student learning outcomes were also measured. Data was obtained from 342 online and blended students between 2010 and 2013. Findings indicate that student–content interaction had a larger effect on student learning outcomes than other forms of dialogue. Implications for educational policies that require teacher-presence (student–teacher) and student–student interactions in distance learning environments are also discussed.     

Attitudes of college students enrolled in 2-year health care programs towards online learning

Colleges offering 2-year diplomas to high-school graduates were among the forefront leaders in online learning however studies illustrating appropriate course construction for such student populations are scarce. Pharmacy Math (MATH16532) is a core course for students enrolled in the Practical Nursing (PN) and Pharmacy Technician (PT) programs at Sheridan Institute. PT and PN students enrolled in MATH16532 during their first term were surveyed to determine student attitudes and skills gained from participating in an online course. Students were then followed up during their second term studies to determine transferability of skills gained. Initially, students did not exhibit a positive attitude towards the online version of Math16532. Participation in the online version of MATH16532 however allowed students to enhance their written ability and critical appraisal skills, gain time management skills, and become independent learners. PT and PN students preferred an orientation session at the beginning of the course and a well organized, easy-to-navigate course. Even though considered as predominantly digital native students, both student groups remained anxious throughout the course regarding the online delivery and preferred a hybrid mode of delivery. Despite the initial resistance to an online math course, students indicated that they would retake the course again in an online format towards the end of the course and there appeared to be a trend to enrol in another online course. Several recommendations regarding the design and construct of online courses in a 2-year college program are provided to facilitate acceptance of online learning for students enrolled in such programs.     

Research in online learning environments: Priorities and methodologies

Due to increasing demand for education and training in the information age, online learning and teaching is becoming a necessity in our future. However, lack of research goals to understand impact of online learning environments on students is a problem in research on online learning environments. We identified four main research goals to pursue in online learning environments based on their impact on learner achievement, engagement, and retention (opposite of attrition). Those goals are (a) enhancing learner engagement & collaboration, (b) promoting effective facilitation, (c) developing assessment techniques, and (d) designing faculty development programs. Current promising work in those areas is presented. Four methods that are common in the instructional technology literature are recommended to pursue those goals. Formative research and developmental research are relevant for all four. Although appropriate for any of the goals, experimental research is a better fit for goals b and c, and activity theory is useful for goals a and b.     

Students' views of collaboration and online participation in Knowledge Forum

This study examined students’ views of collaboration and learning, and investigated how these predict students’ online participation in a computer-supported learning environment. The participants were 521 secondary school students in Hong Kong, who took part in online collaborative inquiry conducted using Knowledge Forum™. We developed a questionnaire to assess the students’ views of their collaboration aligned with the knowledge-building perspective. We also administered the Learning Process Questionnaire to examine their preferred approaches to learning. The students’ online participation in Knowledge Forum was examined using the Analytic Toolkit software. Analyses indicated that students who viewed their collaboration as more aligned with collaborative knowledge building were more likely to employ a deep approach to learning. A structural equation model indicated that the students’ views of collaboration exerted a direct effect on online participation in Knowledge Forum and mediated the effects of deep approaches on forum participation. Implications of examining students’ views of collaboration for productive online participation are discussed.     

A robust incremental learning method for non-stationary environments

Recent machine learning challenges require the capability of learning in non-stationary environments. These challenges imply the development of new algorithms that are able to deal with changes in the underlying problem to be learnt. These changes can be gradual or trend changes, abrupt changes and recurring contexts. As the dynamics of the changes can be very different, existing machine learning algorithms exhibit difficulties to cope with them. Several methods using, for instance, ensembles or variable length windowing have been proposed to approach this task.In this work we propose a new method, for single-layer neural networks, that is based on the introduction of a forgetting function in an incremental online learning algorithm. This forgetting function gives a monotonically increasing importance to new data. Due to the combination of incremental learning and increasing importance assignment the network forgets rapidly in the presence of changes while maintaining a stable behavior when the context is stationary.The performance of the method has been tested over several regression and classification problems and its results compared with those of previous works. The proposed algorithm has demonstrated high adaptation to changes while maintaining a low consumption of computational resources.