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Open educational resources (OER) is a topic that has aroused increasing interest by researchers as a powerful contribution to improve the educational system quality and openness, both in face to face and distance education. The goal of this research is to map publications related to OER, dating from 2002 to 2013, and available through the Web of Science and Scopus scientific databases as well as in the OER Knowledge Cloud open repository. Data were used to explore relevant aspects related to the scientific production in OER, such as: (i) number of publications per year; (ii) most cited publications; (iii) authors with higher number of publications; (iv) institutions and countries with more publications and (v) most referenced bibliography by the authors. The analysis has included 544 papers, written by 843 authors, from 338 institutions, from 61 different countries. Moreover, the analysis has included the publications referenced and the author’s keywords, considering 6,355 different publications and 929 different keywords. Besides presenting a bibliographic mapping of the research on OER, this paper also intends to contribute to consolidate the idea that OER is a promising field for researchers, in line with the spreading of the Open movement.

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Open educational resources are not available “as such”. Their provision relies on a technological infrastructure of related services that can be described as an informational ecosystem. A closed informational ecosystem keeps educational resources within its boundary. An open informational ecosystem relies on the concurrence of independent stakeholders that jointly provide (meta-) information also beyond its boundaries. Mechanisms of open informational ecosystems are described and how they contribute to the delivery of educational resources and to opening education. The paper describes the case of the German Bildungsserver that aims at establishing a federated network of providers of open and closed educational resources. It points out that the design of (inter-)national informational ecosystems has a major influence on the future of open educational resources in education.

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This article describes both the process and the results of an extensive literature review on reusability as one of the key factors for the creation of open content in the context of open and distance learning. Qualitative analysis of texts was made from 1992 to early 2014 in order to identify meanings associated with reusability and its evolution over time. Results show that reusability is not a univocal concept and its meaning has evolved from its early years, especially focusing over the last decade on adaptation processes. Furthermore, the review indicates that reusability has traveled through a complex path from a technological to an educational context and the ideas related to it, in each case, projected different practical implications. A more profound understanding of such ideas is critical to face institutional approaches to create and reuse open educational resources as well as the design and implementation of open educational practices.

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Astronomy: State of the Art is a massive, open, online class (MOOC) offered through Udemy by an instructional team at the University of Arizona. With nearly 24,000 enrolled as of early 2015, it is the largest astronomy MOOC available. The astronomical numbers enrolled do not translate into a similar level of engagement. The content consists of 14 hours of video lecture, nearly 1,000 Powerpoint slides, 250 pages of background readings, and 20 podcast interviews with leading researchers. Perhaps in part because of the large amount of course content, the overall completion rate is low, about 3%. However, this number was four times higher for an early cohort of learners who were selected to have a prior interest in astronomy and who took the class in synchronous mode, with new content being added every week. Completion correlates with engagement as measured by posts to the online discussion board. For a subset of learners, social media like Facebook and Twitter provide an additional, important mode of engagement. For the asynchronous learners who have continuously enrolled for the past 15 months, those who complete the course do so quickly, with few persisting longer than two months. The availability of a free completion certificate had no impact of completion rates when it was added midway through the period of data analyzed in this paper. This experiment informs a new offering of an enhanced version of this MOOC via Coursera, along with a co-convened “flipped” introductory astronomy class at the University of Arizona, where the video lectures will be online and class time will be used exclusively for small group labs and hands-on activities. Despite their typically low completion rates, MOOCs have the potential to add significantly to public engagement with science, and they attract a worldwide audience.

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The study presented in this paper examines the feasibility of using MOOCs as a learning environment in academic courses. This paper focuses on the students who participated in two MOOCs offered by Tel Aviv University (TAU) during the year 2013. The preliminary findings of this pilot study illustrate the scope of student activity, the learning intensity, and learner path. In addition, attitudes of TAU students who participated in these courses as part of their curriculum are presented. From TAU’s perspective, the presented MOOCs are considered to be a successful experience for all those involved: the students, who were very satisfied with their learning and high achievements; the lecturer team, who were very enthusiastic and satisfied with the learning process as well as the new experience; and the University policy makers, who took the challenge and integrated this new model of learning into the academic environment.

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In the following research, the relationship between instructional interaction and student persistence in e-learning has been analyzed. In order to conduct a descriptive- analytic survey, 744 undergraduate e-students were selected by stratified random sampling method to examine not only the frequency and the methods of establishing an instructional interaction, but also the barriers to the student persistence in e-learning. The research findings confirmed the relationship between the instructors’ and the students’ application of two interaction methods including the discussion forum and email (asynchronous method), as well as the relationship between the frequency of instructional interaction and the student persistence in e-learning. According to the findings, family and job commitment, loss of instructional motivation and economic problems constitute the most important barriers to the student persistence in e-learning. The research results can help reduce one of the primary concerns of online learning, that is the student persistence rate, if they would be implemented in various instructional systems such as higher instructional system, for the purpose of providing favorable condition in e-learning, facilitating online learning interactions and, eventually, increasing the student persistence in e-learning.

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In this paper, we discuss the challenges experienced by Kenyan public universities in implementation of e-learning and recommend possible solutions towards its successful implementation. In the last few years, most Kenyan public universities have adopted e-learning as a new approach to teaching and learning. However, the implementation challenges faced by these universities have continued to impact negatively on its effective utilization. This paper presents the findings from a survey of 148 staff of three Kenyan public universities who are currently using e-learning in blended mode approach. The purpose of this study was to investigate the challenges hindering the implementation of e-learning in Kenyan public universities. Data was collected through questionnaires, in-depth interviews and document analysis. The findings reveal that e-learning comes with some challenges that must be addressed by Kenyan public universities before successful implementation can be realized. However, the benefits and opportunities presented by e-learning far outweigh the challenges. The paper finally recommends some possible solutions that public universities could embrace towards successful implementation of e-learning.

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Teacher identity is defined as a sense of teacher self that results from a productive combination of key personal and professional subjectivities or beliefs. Much empirical research has been done on the development of teacher identity in the K-12 arena, with a great deal of theoretical and philosophical scholarship about teaching at the college level, yet little research to date has looked at how instructors at the college level, especially those who are teaching online, develop their online instructor identity. The purpose of this interview-based, qualitative study is to understand the experience of first time online instructors and how they develop their online teacher identity and utilizes the framework established by Beijaard, Meijer and Verloop (2004) as the lens for analyses. Recommendations are made for cultivating online teacher identity and the many aspects of it as a means to strengthen online teacher identity to not only provide effective and innovative teaching experiences but also for the sake of retention.

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Online educational videos disseminated content for a university pre-service teacher internship program. Placed within an online course management system, the videos were accessed by 202 interns located in several Western U.S. states. To ascertain the interns’ subjective experiences of the online course and videos to assist in the evaluation of the course, the researcher analyzed qualitative survey data in the form of constructed response items using a new qualitative-to-quantitative protocol. Based on phenomenological and grounded theory methods, this protocol was designed to handle the large amount of subjective constructed responses, allowing the inductive understanding of the overall experiences of a common phenomenon. The responses provided critical information that is useful for instructional designers, online educators, and educational video producers. The data suggest: 1) Universities must carefully consider video hosting options to ensure access. 2) Online videos should be carefully planned to create high quality, concise videos of less than ten minutes in length, yet contain enough educational content to reduce the overall number of required videos. 3) Students appreciate the flexibility online course delivery offered in terms of scheduling and eliminating the need to come to campus to attend seminars. 4) Self-paced online courses require progress indicators to alleviate confusion.

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In the present study, a mobile learning system for the professional development of academics was developed by design based action research, and the perceptions and experiences of the academics using this system were examined. In the first phase of this design-based action research, the research question was defined. In the second phase, a m-learning system called “Mobile Academic Research Support” (MARS) was designed as a solution to the problem, and the IOS mobile application for this design was developed. In the third phase of the study, the MARS application was regularly tested and evaluated by the academics over eight weeks. At the end of the research process, the results were reflected upon. It was found that the primary and important professional development needs of the academics were at the scientific research level. It was also observed that the m-learning system developed for the professional development of the academics regarding scientific research was appropriate to the overall purpose, accessible, adaptable and appealing; that it served both as a m-learning and as an academic support system; that its content was satisfactory; and that the tools used in the system were useful. In addition, it was observed that the academics were able to use mobile technologies for learning. Also, it was stated that such a system could provide positive contributions to the professional development of academics.

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This paper aims to give a general review of existing literature on adaptive educational hypermedia systems and to reveal technological trends and approaches within these studies. Fifty-six studies conducted between 2002 and 2012 were examined, to identify prominent themes and approaches. According to the content analysis, the new technological trends and approaches were grouped into seven categories: standardization, semantic web, modular frameworks, data mining, machine learning techniques, social web, and device adaptation. Furthermore, four challenges are suggested as explanation why adaptive systems are still not used on a large scale: inter-operability, open corpus knowledge, usage across a variety of delivery devices, and the design of meta-adaptive systems.

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Online environments, particularly virtual worlds, can sometimes complicate issues of self expression. For example, the faculty member who loves punk rock has an opportunity, through hairstyle and attire choices in the virtual world, to share that part of herself with students. However, deciding to share that part of the self can depend on a number of factors: departmental guidelines, ideas of professionalism, privacy concerns, or the need for separation between the in-class self and the out-of-class self. In my study on faculty in virtual worlds, I examined faculty members’ perspectives on recreating and being themselves in immersive virtual environments.

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Online video lectures have been considered an instructional media for various pedagogic approaches, such as the flipped classroom and open online courses. In comparison to other instructional media, online video affords the opportunity for recording student clickstream patterns within a video lecture. Video analytics within lecture videos may provide insights into student learning performance and inform the improvement of video-assisted teaching tactics. Nevertheless, video analytics are not accessible to learning stakeholders, such as researchers and educators, mainly because online video platforms do not broadly share the interactions of the users with their systems. For this purpose, we have designed an open-access video analytics system for use in a video-assisted course. In this paper, we present a longitudinal study, which provides valuable insights through the lens of the collected video analytics. In particular, we found that there is a relationship between video navigation (repeated views) and the level of cognition/thinking required for a specific video segment. Our results indicated that learning performance progress was slightly improved and stabilized after the third week of the video-assisted course. We also found that attitudes regarding easiness, usability, usefulness, and acceptance of this type of course remained at the same levels throughout the course. Finally, we triangulate analytics from diverse sources, discuss them, and provide the lessons learned for further development and refinement of video-assisted courses and practices.

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In the context of the hype, promise and perils of Big Data and the currently dominant paradigm of data-driven decision-making, it is important to critically engage with the potential of Big Data for higher education. We do not question the potential of Big Data, but we do raise a number of issues, and present a number of theses to be seriously considered in realising this potential. The University of South Africa (Unisa) is one of the mega ODL institutions in the world with more than 360,000 students and a range of courses and programmes. Unisa already has access to a staggering amount of student data, hosted in disparate sources, and governed by different processes. As the university moves to mainstreaming online learning, the amount of and need for analyses of data are increasing, raising important questions regarding our assumptions, understanding, data sources, systems and processes. This article presents a descriptive case study of the current state of student data at Unisa, as well as explores the impact of existing data sources and analytic approaches. From the analysis it is clear that in order for big(ger) data to be better data, a number of issues need to be addressed. The article concludes by presenting a number of theses that should form the basis for the imperative to optimise the harvesting, analysis and use of student data.

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How do (potential) students differ in their preferences for the organization of online and distance courses and programs, can these differences be grouped into preference profiles, and are there any associations between these profiles and variables, such as achievement and dropout, that are relevant for the promotion and design of online and distance teaching? In this study, three groups (enrolled students, N=1939; prospective students, N=296, people in the target group of the course or program, N=255) completed a survey consisting of 28 items with which to identify their preferences. Various significant differences in preferences between the groups were found in the item scores. Exploratory factor analysis resulted in five meaningful factors that were used to create 32 preference profiles that are identified by the dichotomized scores on the factors. In this way, the profiles conserve their dimensional relationship instead of presenting profiles as distinct types. The factors in which student preferences differ are: collaboration (group work versus self-study), pacing (fixed time schedule versus flexibility in time and tempo), the degree to which the study has a practical orientation, the degree of proactive (versus reactive) teaching and a preference for indepth learning versus superficial learning. Significant associations have been found between preference profiles and the discipline in which the student group studies, the type of program (e.g., bachelor, master), and the number of study points obtained in the last year per discipline. The results indicate that the enrolled students are more aligned to the characteristics of the teaching-learning process than the other two groups.

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This study intends to explore the current trends in the field of distance education research during the period of 2009-2013. The trends were identified by an extensive review of seven peer reviewed scholarly journals: The American Journal of Distance Education (AJDE), Distance Education (DE), The European Journal of Open, Distance and e-Learning (EURODL), The Journal of Distance Education (JDE), The Journal of Online Learning and Technology (JOLT), Open Learning: The Journal of Open, Distance and e-Learning (OL) and The International Review of Research in Open and Distributed Learning (IRRODL). A total of 861 research articles was reviewed. Mainly content analysis was employed to be able to analyze the current research. Also, a social network analysis (SNA) was used to interpret the interrelationship between keywords indicated in these articles. Themes were developed and the content of the articles in the selected journals were coded according to categories derived from earlier studies. The results were interpreted using descriptive analysis (frequencies) and social network analysis. The reporting of the results were organized into the following categories: research areas, theoretical and conceptual frameworks, variables, methods, models, strategies, data collection and analysis methods, and the participants. The study also identified the most commonly used keywords, and the most frequently cited authors and studies in distance education. The findings obtained in this study may be useful in the exploration of potential research areas and identification of neglected areas in the field of distance education.