Community-organizing agent: An artificial intelligent system for building learning communities among large numbers of learners

Web-based (or online) learning provides an unprecedented flexibility and convenience to both learners and instructors. However, large online classes relying on instructor-centered presentations could tend to isolate many learners. The size of these classes and the wide dispersion of the learners make it challenging for instructors to interact with individual learners or to facilitate learner collaborations. Since extensive literature has confirmed that the substantial impact of learner interaction on learning outcomes, it is pedagogically critical to help distributed learners engage in community-based collaborative learning and to help individual learners improve their self-regulation. The E-learning lab of Shanghai Jiaotong University created an artificial intelligence system to help guide learners with similar interests into reasonably sized learning communities. The system uses a multi-agent mechanism to organize and reorganize supportive communities based on learners’ learning interests, experiences, and behaviors. Through effective award and exchange algorithms, learners with similar interests and experiences will form a community to support each others’ learning. Simulated experimental results indicate that these algorithms can improve the speed and efficiency in identifying and grouping homogeneous learners. Here, we will describe this system in detail and present its mechanism for organizing learning communities. We will conduct human experimentations in the near future to further perfect the system.     

Guidelines for facilitating the development of learning communities in online courses

Online learning has grown exponentially in recent years; however, dropout problem remains challenging for some online programmes. The dropout problem can be attributed to a number of reasons, with a lack of interaction between learners and the instructor constituting one of the main reasons. The lack of interaction also leads to learners' feeling of isolation. Learning communities can provide learners with an environment conducive to increased interactions and alleviate their feeling of isolation. Unfortunately, there are no clear rules that instructors can follow to help learners create learning communities. In this paper, we propose guidelines for online instructors to facilitate the development of learning communities in online courses. We first review the definition of a learning community, importance of a learning community and factors affecting the development of a learning community. Afterwards, based on a review of the existing guidelines and other relevant literature, we propose guidelines for facilitating the development of learning communities in online courses.     

Inspiring equal contribution and opportunity in a 3d multi-user virtual environment: Bringing together men gamers and women non-gamers in Second Life

A 3D multi-user virtual environment holds promise to support and enhance student online learning communities due to its ability to promote global synchronous interaction and collaboration, rich multisensory experience and expression, and elaborate design capabilities. Second Life^®, a multi-user virtual environment intended for adult users 18 and older, is the most cited in educational literature, so it is important to explore how college-aged students are using it to form online learning communities. Previous research suggests that there is unbalanced participation between traditional college-aged men and women with regards to 3D multi-user video games, which closely resemble Second Life^®. In this research study, we investigated in what manner women and men college students projected their virtual identities and engaged in interaction in Second Life^®, and how this influenced their learning of course content. Analysis of multiple data sources revealed that conceptions of identity, beliefs of the nature of the virtual world, and technical skill were primary factors which affected group cohesion and learning within the community. Results from this study can provide insight into the class activities that can support all learners in accessing and contributing to the multi-user virtual environment learning community.     

Cousins Virtual Jane and Virtual Joe,extraordinary virtual helpers

Higher education institutions deliver web-based learning with varied success. The success rate of distributed online courses remains low. Factors such as ineffective course facilitation and insufficient communication contribute to the unfulfilled promises of web-based learning. Students consequently feel unmotivated. Instructor control and in the courseroom further isolates students, whereas success rate increases when students unite in virtual communities. King (2002) increased student participation in his online classes by creating a virtual student, Joe, as a participating student and supplementary facilitator. This investigation responds to King’s call for further directions on how a virtual helper enhances online facilitation. This inspired our investigation of how Virtual Jane might augment online facilitation. King’s prediction, “It seems that Joe Bags may have a family in the future,” (p. 164) became a reality in a South African masters’ web-based class on web-based learning.     

Smart PAC-learners

The PAC-learning model is distribution-independent in the sense that the learner must reach a learning goal with a limited number of labeled random examples without any prior knowledge of the underlying domain distribution. In order to achieve this, one needs generalization error bounds that are valid uniformly for every domain distribution. These bounds are (almost) tight in the sense that there is a domain distribution which does not admit a generalization error being significantly smaller than the general bound. Note however that this leaves open the possibility to achieve the learning goal faster if the underlying distribution is “simple”. Informally speaking, we say a PAC-learner L is “smart” if, for a “vast majority” of domain distributions D, L does not require significantly more examples to reach the “learning goal” than the best learner whose strategy is specialized to D. In this paper, focusing on sample complexity and ignoring computational issues, we show that smart learners do exist. This implies (at least from an information-theoretical perspective) that full prior knowledge of the domain distribution (or access to a huge collection of unlabeled examples) does (for a vast majority of domain distributions) not significantly reduce the number of labeled examples required to achieve the learning goal.     

Deconstructing and reconstructing: Transforming primary science learning via a mobilized curriculum

The history of science education reform has been fundamentally centered around science curriculum development and implementation. The advent of mobile technologies has necessitated a re-examination of how students could better learn science through these 21st century tools. Conventional teaching materials may not prepare students to learn the inquiry way and to become self-directed and social learners who could learn “everywhere and all the time (seamlessly)” using mobile technologies. This paper is based on our first year of work in our mobile learning research project in transforming primary three science lessons into a “mobilized” curriculum for a classroom context in which students routinely use mobile technologies. Using an exemplar fungi topic, we discuss our approach as well as experiences in deconstructing and reconstructing an existing curriculum through a co-design approach with teachers in a Singapore local school. In doing so, we make a contribution to the methodology for developing mobilized science curricula for in-class learning that also extends to out-of-class learning.     

What we have here is a failure to communicate: the criticality of writing in online instruction

This article addresses how online instructors can improve their email communications with students. The characteristics and demands of online instruction are described and characterized as depending on the instructor’s ability to communicate in writing. A model to guide instructors in their online communications, the Golden Triangles of Online Communication, is presented. The first triangle underscores the criticality of considering (a) the online learning environment context, (b) the learner, and (c) the learning task. The second triangle presents three critical questions that instructors using online communications must quickly answer (a) What is this about? (b) Why should I care? and (c) What am I supposed to do? The Golden Triangles represent an effort to provide assistance to instructors in the difficult task of providing high quality instruction with high student satisfaction in online learning. In the final analysis, we underscore the importance of instructors’ writing skills in effective and appealing online in teaching.     

A community of practice approach to the development of non-traditional learners through networked learning

Abstract This paper analyses a sample of online discussions to evaluate the development of adult learners as reflective practitioners within a networked learning community. The context for our study is a blended learning course offering post-experience professional training to non-traditional university students. These students are parents and carers of people with autistic spectrum disorder (ASD). We use Lave and Wenger's 'communities of practice' as a theoretical framework for establishing how students develop a learning community based upon mutual engagement, joint enterprise and shared repertoires. Those three aspects are analysed according to two measures. The first focuses on learner appropriation of the professional discourse, values and goals of the ASD carer through the network. The second relates to changes in the quality of collaborative activity over time. Our analysis demonstrates that students belong to an overarching community of practice, with different subsets who work at sharing and co-constructing common understandings. This shared discourse and common notions of what constitutes good practice help create a safe interaction space for the students. Once group identity is consolidated, more challenging questions emerge and the group are able to define further common values, understandings and goals through processes of resolution.     

The effects of problem-based learning on the classroom community perceptions and achievement of web-based education students

Web-based education as an alternative to face-to-face teaching is now being extended as an application to higher education. Much effort is undertaken to provide multimedia rich, attractive content to learners. While the use of multimedia technologies has a noticeable effect on students’ learning, so does the selected teaching methodology. Underpinned by the Constructivist approach, problem-based learning is one of the methods that could be applied in web-based learning environments. The current study investigates the effects of problem-based learning on students’ classroom community perceptions and their achievement. It focuses on the tertiary level course “Introduction to Computers” offered by the Department of Business Administration of the Distance Education Program at a higher education institution in Turkey. The results indicated that students who worked on problem-based projects felt much more ‘connected’ to other class members when compared to the control group. They achieved higher scores in the post-tests although their online midterm and final examination scores did not indicate any difference between the groups.     

So you are going to be an online writing instructor: issues in designing,developing, and delivering an online course

Online education is increasing exponentially in colleges and universities. In this article, writing instructors are introduced to theories of instructional design that form the foundation to support effective student learning. We present a series of guidelines, derived from these theories and our research and teaching, that writing instructors may use to design, develop and deliver their online courses. We present considerations for instructors such as the need for the course, an analysis of the learners, appropriateness of the course for online delivery, pedagogical concerns, and resources. We then discuss how best to support students in online environments. We conclude with suggestions for faculty support and training for online course delivery.     

Online Ensemble Learning: An Empirical Study

We study resource-limited online learning, motivated by the problem of conditional-branch outcome prediction in computer architecture. In particular, we consider (parallel) time and space-efficient ensemble learners for online settings, empirically demonstrating benefits similar to those shown previously for offline ensembles. Our learning algorithms are inspired by the previously published boosting by filtering framework as well as the offline Arc-x4 boosting-style algorithm. We train ensembles of online decision trees using a novel variant of the ID4 online decision-tree algorithm as the base learner, and show empirical results for both boosting and bagging-style online ensemble methods. Our results evaluate these methods on both our branch prediction domain and online variants of three familiar machine-learning benchmarks. Our data justifies three key claims. First, we show empirically that our extensions to ID4 significantly improve performance for single trees and additionally are critical to achieving performance gains in tree ensembles. Second, our results indicate significant improvements in predictive accuracy with ensemble size for the boosting-style algorithm. The bagging algorithms we tried showed poor performance relative to the boosting-style algorithm (but still improve upon individual base learners). Third, we show that ensembles of small trees are often able to outperform large single trees with the same number of nodes (and similarly outperform smaller ensembles of larger trees that use the same total number of nodes). This makes online boosting particularly useful in domains such as branch prediction with tight space restrictions (i.e., the available real-estate on a microprocessor chip).     

The nature of adolescent learner interaction in a virtual high school setting

This study used survey data to measure the effect of learners' reported interactions with content, peers, and instructors on several course outcomes in two virtual high school courses that emphasized interactive learning. Surveys found that the large majority of students viewed all investigated types of interaction as educational and motivational. Students perceived learner–instructor and learner–content interactions to have significantly higher educational value (α < 0.01) than learner–learner interactions, and viewed learner–instructor interaction to be significantly more motivational (α < 0.01) than learner–content interaction. Furthermore, nine significant correlations were found involving the time students reported spending on human interaction and course outcomes. Seven of the significant correlations were related to the time students reported spending in human interaction and the more affective outcomes, such as course satisfaction and disposition towards the subject area. Outcomes also indicate that learner–learner interaction had higher correlations with course outcomes than learners' interactions with the content or their instructor. Students' perceived learning was not significantly correlated with any type of interaction, and only students' total reported time spent on learner–learner interaction and students' social learner–learner interaction were significantly correlated with their grade.     

Examining effectiveness of communities of practice in online English for academic purposes (EAP) assessment in virtual classes

The literature on English for academic purposes (EAP) methodology highlights the significance of learners' engagement in learning language (Hyland, 2006) in mainstream general and online contexts. Blogs have been recommended in many studies as having the potential to bring the sense of community and collaboration in online classes. Therefore, this study sought to investigate whether blogs in large classes would help students enhance their perceptions of learning. To this end, Forty-two undergraduate students of Information Technology (IT) at an Iranian university participated in a weblog writing course in order to promote collaboration and reflective learning. Instrumentation included a questionnaire of perceived learning and sense of community, semi-structured interviews, and participant observations. The findings revealed a significant difference in perceived learning between the students with low sense of community and those with a high sense of community. Based on the qualitative findings of the study, we suggest an assessment framework incorporating constructivist and social-interactionist theories of learning in order to treat students as members of a community of learning. The findings may promise implications for gearing EAP assessment to more collaborative modes in online courses and suggest a model framework for the assessment of students in EAP online classes.     

The effect of motivational scaffolding on procrastinators’ distance learning outcomes

The purpose of the research was to determine experimentally whether the addition of features to enhance learner motivation and collaboration, termed motivational scaffolding, to the “traditional” distance learning design improved engagement, and performance, particularly among procrastinators. Two versions of a web-based five-credit study skills course, both covering the same content and sharing all features save for the scaffolding, were compared: traditional-distance, and motivationally-scaffolded distance, during each of two terms. Motivational scaffolding consisted of using chat to run study skills support groups, where students were helped to stay on task, and instructor office hours. Students were classified as either high or low procrastinators, and randomly assigned to each version, and two instructors alternated between versions taught from one term to the other. Results showed that procrastinating students, for whom the lack of structure of distance learning may be problematic, performed better in the motivationally-scaffolded version than the traditional, while non-procrastinating students performed equally in both.     

Investigating the mediating role of online learning motivation in the COVID-19 pandemic situation in Bangladesh

The purpose of this paper is to investigate the mediating role of online learning motivation (OLM) in the COVID-19 pandemic situation in Bangladesh by observing and comparing direct lectures (DL), instructor–learner interaction (ILI), learner–learner interaction (LLI), and internet self-efficacy (ISE) as predictors of OLM and online learning satisfaction (OLS). Data were collected from 442 undergraduate and graduate students from more than 35 universities in Bangladesh. To test the hypotheses, the PLS-SEM approach was applied using SmartPLS 3.0. The study shows a significant mediating role of OLM between the independent variables and learning satisfaction. In addition, DL, ILI, and ISE are shown to be significant predictors of student satisfaction. The findings have a number of valuable implications for education policy makers, universities, instructors, and students. Moreover, the study suggests some new research perspectives to overcome the limitations of this research and to gain precise knowledge on students' learning motivation and satisfaction regarding other online classes for different categories of students (e.g., high school and college, professional, and PhD).     

Learning presence as a moderator in the community of inquiry model

This study of over 2000 US college students examines the Community of Inquiry framework (CoI) in its capacity to describe and explain differences in learning outcomes in hybrid and fully online learning environments. We hypothesize that the CoI model's theoretical constructs of presence reflect educational effectiveness in a variety of environments, and that online learner self-regulation, a construct that we label “learning presence” moderates relationships of the other components within the CoI model. Consistent with previous research (e.g., Means, Toyama, Murphy, Bakia, & Jones, 2009; Shea & Bidjerano, 2011) we found evidence that students in online and blended courses rank the modalities differently with regard to quality of teaching, social, and cognitive presence. Differences in help seeking behavior, an important component of self-regulated learning, were found as well. In addition, results suggest teaching presence and social presence have a differential effect on cognitive presence, depending upon learner's online self-regulatory cognitions and behaviors, i.e. their learning presence. These results also suggest a compensation effect in which greater self-regulation is required to attain cognitive presence in the absence of sufficient teaching and social presence. Recommendations for future research and practice are included.     

Comparing grades in online and face-to-face writing courses: Interpersonal accountability and institutional commitment

In spite of benefits surrounding distance education programs, many online writing courses suffer from low student completion rates. Student retention has been identified as a concern in a number of studies of online education. We extend this discussion by examining the relationship of assessment of student work to retention, and comparing the grades students receive in online and face-to-face undergraduate writing courses. Our data point to what we call the “thrive or dive” phenomenon for student performance in online writing courses, which describes the disproportionately high percentage of students who fail or do not complete online courses compared to conventional, face-to-face courses. We extend this discussion on challenges related to student retention and propose instructional approaches for online learning that include the interpersonal accountability between teachers and students, as well as the institutional commitment necessary to ensure that students can succeed in online writing courses and programs.