The Electronic Journal of e-Learning provides perspectives on topics relevant to the study, implementation and management of e-Learning initiatives
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Journal Article

The E‑Learning Setting Circle: First Steps Toward Theory Development in E‑Learning Research  pp94-104

Marco Rüth, Kai Kaspar

© Apr 2017 Volume 15 Issue 1, Editor: Robert Ramberg, pp1 - 103

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Abstract

E‑learning projects and related research generate an increasing amount of evidence within and across various disciplines and contexts. The field is very heterogeneous as e‑learning approaches are often characterized by rather unique combinations of situational factors that guide the design and realization of e‑learning in a bottom‑up fashion. Comprehensive theories of e‑learning that allow deductive reasoning and hence a more top‑down strategy are missing so far, but they are highly desirable. In view of the current situation, inductive reasoning is the prevalent way of scientific progress in e‑learning research and the first step toward theory development: individual projects provide the insights necessary to gradually build up comprehensive theories and models. In this context, comparability and generalizability of project results are the keys to success. Here we propose a new model – the E‑Learning Setting Circle – that will promote comparability and generalizability of project results by structuring, standardizing, and guiding e‑learning approaches at the level of a general research methodology. The model comprises three clusters – context setting, structure setting, and content setting – each of which comprises three individual issues that are not necessarily sequential but frequently encountered in e‑learning projects. Two further elements are incorporated: on the one hand, we delineate the central role of objective setting and the assessment of the goal attainment level (guiding element); on the other hand, we highlight the importance of multi‑criteria decision‑making (universal element). Overall, the proposed circular model is a strategic framework intended to foster theory development in the area of e‑learning projects and research.

 

Keywords: e-learning research, e-learning projects, research methodology, theory development, major project issues, decision-making, new model

 

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Journal Article

An exploration of autonetnography as an eResearch methodology to examine learning and teaching scholarship in Networked Learning  pp322-335

Lyz Howard

© Dec 2016 Volume 14 Issue 5, Editor: Robert Ramberg, pp291 - 349

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Abstract

Abstract: As an experienced face‑to‑face teacher, working in a small Crown Dependency with no Higher Education Institute (HEI) to call its own, the subsequent geographical and professional isolation in the context of Networked Learning (NL), as a sub‑set of eLearning, calls for innovative ways in which to develop self‑reliant methods of professional development. Jones and De Laat (2016, p.43) claim that NL is different from other eLearning sub‑sets, for example, Technology Enhanced Learning (TEL) and Computer‑Supported‑Collaborative‑Learning (CSCL) because of its “focus on pedagogy and understanding how social relationships (and networked practices) influence learning rather than having a predominantly technical agenda for change in education”. NL, rather than TEL or CSL, therefore, locates the context for this paper. My intent was to develop a bespoke professional development framework to facilitate independent and self‑directed NL teaching development. To scaffold my professional development autonetnography (ANG) was chosen to facilitate my learning. The concept of ANG was introduced by Kozinets & Kedzior (2009) as an autobiographical extension to the ethnographic genre Netnography defined by Kozinets (2006) as an interpretive research methodology to examine online observations and interactions. Whilst recent researchers of digital learning claim that has potential to add to a growing body of knowledge that accepts the post‑modern use of self as an insider researcher (Ferreira, 2012; Persdotter, 2013; Mkono, Ruhanen & Markwell, 2015) none have explained how to undertake ANG. There appears here, to be a theory‑practice gap (Kessels and Korthagen, 1996) and the problem lies within the argument that there is no current theory upon which to practice ANG. This opportunity to examine more closely the subjective and reflexive insider researcher perspective of being an online scholar (as a learner or teacher) would respond to this gap in current eResearch knowledge. This paper uses meta‑ethnography (Noblit & Hare, 1988) as a method to systematically examine methodology relating to autoethnography, with the purpose of working towards developing a framework for undertaking ANG as an emerging eResearch methodology. Seven phases of meta‑ethnography formed the method for synthesising autoethnographic methodological data and translating these into ANG methodological data. Findings from this synthesis are reported through the autoethnographic tripartite scheme of mimesis, poiesis and kinesis (Holman‑Jones, Adams, & Ellis, 2013a). From this synthesis, the autonetnographic “I” framework was developed and forms a methodological basis for future ANG studies to examine teaching and/or learning scholarship in NL and the potential for considering adaptation of ANG for use in eLearning more generally.

 

Keywords: Keywords: Autonetnography; ANG; autoethnography; meta-ethnography; eLearning; networked learning; reflexivity; eResearch methodology; online learner and teacher scholarship; online professional development

 

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Journal Issue

Volume 14 Issue 5 / Dec 2016  pp291‑349

Editor: Robert Ramberg

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Editorial

Guest Editors


Ramberg Robert Robert Ramberg earned his PhD in cognitive psychology at the department of psychology, Stockholm University and holds a position as professor at the department of computer‑ and systems sciences, Stockholm University (Technology enhanced learning and collaboration). Ramberg also holds a position as research director at the Swedish air force simulation center (FLSC), Swedish Defense Research Agency. Broadly conceptualized, his research focuses the design and evaluation of representations and representational artefacts to support learning, training and collaboration. Of particular interest to his research are socio‑cultural perspectives on learning and cognition, pedagogy and how these theories must be adapted when designing and evaluating technology enhanced learning and training environments. And more specifically how artifacts of various kinds (information technology and other tools) mediate human action, collaboration and learning. 

 

Keywords: Higher Education, Action Research, Digital Competencies, Mixed methods research, Technology enhanced learning, Staff development, HEIs , Technology acceptance, Power, Culture, Foucault, Ofsted, Autonetnography, ANG, Autoethnography, Meta-ethnography, eLearning, Networked learning, Reflexivity, eResearch methodology, Online learner and teacher scholarship, Online professional development, e-Learning research, Educational technology, Research designs, e-Learning effectiveness, Methodology, Validity

 

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Journal Issue

Volume 15 Issue 1 / Apr 2017  pp1‑103

Editor: Robert Ramberg

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Keywords: academic staff, attitudes, clinical education, communication, communities, competencies, courses, critical theory, decision-making, Distance learning, e-learning, e-learning projects, e-learning research, E-Learning team, ethical issues, ethnography, expectations, formative e-assessment, Foucault, gaps, health promotion, learning analytics, major project issues, mathematics, Mobile eye tracking methods, motivation, motivation to learn, motivational gap, new model, online distance learning, pedagogy, perception bias, power, pre-course, qualitative research, quality, quality indicators, quality of e-learning, research methodology, satisfaction, service, socio-cultural contexts, staff development, STEM, technology, theory development, training management, training motivation, visitor studies, visual ethnography

 

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