E-motion diaries : blogging emotional responses to online learning in higher education

Emotions are inherently social, and are central to learning, online interaction and literacy practices (Shen, Wang, & Shen, 2009). Demonstrating the dynamic sociality of literacy practice, we used e-motion diaries or web logs to explore the emotional states of pre-service high school teachers’ experiences of online learning activities. This is because the methods of communication used by university educators in online learning and writing environments play an important role in fulfilling students’ need for social interaction and inclusion (McInnerney & Roberts, 2004). Feelings of isolation and frustration are common emotions experienced by students in many online learning environments, and are associated with the success or failure of online interactions and learning (Su, et al., 2005). The purpose of the study was to answer the research question: What are the trajectories of pre-service teachers’ emotional states during online learning experiences? This is important because emotions are central to learning, and the current trend toward Massive Open Online Courses (MOOCs) needs research about students’ emotional connections in online learning environments (Kop, 2011). The project was conducted with a graduate class of 64 high school science pre-service teachers in Science Education Curriculum Studies in a large Australian university, including males and females from a variety of cultural backgrounds, aged 22-55 years. Online activities involved the students watching a series of streamed live lectures for the first 5 weeks providing a varied set of learning experiences, such as viewing science demonstrations (e.g., modeling the use of discrepant events). Each week, students provided feedback on learning by writing and posting an e-motion diary or web log about their emotional response. Students answered the question: What emotions did you experience during this learning experience? The descriptive data set included 284 online posts, with students contributing multiple entries. Linguistic appraisal theory, following Martin and White (2005), was used to regroup the 22 different discrete emotions reported by students into the six main affect groups – three positive and three negative: unhappiness/happiness, insecurity/security, and dissatisfaction/satisfaction. The findings demonstrated that the pre-service teachers’ emotional responses to the streamed lectures tended towards happiness, security, and satisfaction within the typology of affect groups – un/happiness, in/security, and dis/satisfaction. Fewer students reported that the streamed lectures triggered negative feelings of frustration, powerlessness, and inadequacy, and when this occurred, it often pertained to expectations of themselves in the forthcoming field experience in classrooms. Exceptions to this pattern of responses occurred in relation to the fifth streamed lecture presented in a non-interactive slideshow format that compressed a large amount of content. Many students responded to the content of the lecture rather than providing their emotional responses to this lecture, and one student felt “completely disengaged”. The social practice of online writing as blogs enabled the students to articulate their emotions. The findings primarily contribute new understanding about students' wide range of differing emotional states, both positive and negative, experienced in response to streamed live lectures and other learning activities in higher education external coursework. The is important because the majority of previous studies have focused on particular negative emotions, such as anxiety in test taking. The research also highlights the potentials of appraisal theory for studying human emotions in online learning and writing.

Student perspectives of online learning

The advent of online learning in tertiary education has changed the way students interact with institutions and undertake their studies. All students at Deakin University interact with their courses through an online learning environment. While online learning environments can be evaluated in a number of ways, the perceptions of the key users and their levels of satisfaction with the online learning environment are important measures.
This paper presents results of a survey of students studying at Deakin University in 2005. The survey explored their perceptions of learning in the online environment. The results indicate that overall students were enthusiastic about learning in such an environment. The main advantages are the flexibility that it provides and the ability to study when it suits students. The disadvantages include technical issues such as speed of access, and the need to participate regularly. The size and spread of the responses suggest that these outcomes can be generalized for all students studying online.

Accommodating learner diversity in web-based learning environments: imperatives for future developments

In this article, we focus on the use of Web-based learning environments for university students. We draw on an evaluation of an online environment that was developed to supplement face-to-face components of an undergraduate education unit in an Australian university. We explore learners' affective responses to this environment, finding that students' responses were often related to their familiarity with the learning environment, their skills and confidence with computer technology, and their preferred learning styles. It is not surprising to us that different students experienced the environment differently as this is the foundation of constructivist and socio-cultural understandings of learning. Yet, the models that currently predominate in the provision of online learning environments in universities offer very little in terms of responding and adapting to students' individual needs and preferences. Instead, online Web-based learning environments are most often designed to anticipate an average, or sometimes ideal, learner. We argue that designing for an imagined average or ideal learner does not adequately respond to the challenge of accommodating learner difference. If hopes for student-centred education are to be realised, future technological and pedagogical developments in online course provision need to be sophisticated enough to respond and adapt to individual students' needs and preferences across a wide range of variables.

Challenges of web-based learning environments: are we student-centred enuf?

The last decade has seen a phenomenal growth in the use of the Web in university education, with various factors influencing the adoption of Web-based technology. The reduction of government funding in the higher education sector has forced universities to seek technological solutions to provide courses for a growing and increasingly diverse and distributed student population [13,14]. Another impetus has been a shift in focus from teacher-centred to learner-centred education, encouraging educators to provide courses which enable students to manage their own learning [6]. In this paper we discuss challenges associated with the design and provision of Web-based learning environments that are truly student-centred. We draw on interview and questionnaire data from an evaluation study to raise issues surrounding the provision of online environments that meet learners' needs. We discuss the challenges of catering for the needs of different learners and the challenges associated with helping students to make the transition into new online learning environments.

Continuous improvement through shared understanding : reconceptualising instructional design for online learning

Many Australian tertiary institutions provide support for academic staff in the design and development of online teaching and learning resources, often employing a centralised unit staffed with educational and instructional designers, multimedia and online developers, audio/video producers and graphic artists. It is not unusual for these units to have evolved from print-based distance education providers and consequently the design and development processes inherent within those units are often steeped in ‘traditional’ sequential instructional development models. We argue that these models are no longer valid for effectively working with academic staff given the dynamic nature of online learning environments and the diversity of skills to implement effective online learning. This paper therefore presents an extended instructional design model in which the development cycle for online teaching and learning materials uses a scaffolding strategy in order to cater for learner-centred activities and to maximise scarce developer and academic resources. The model also integrates accepted phases of the instructional development process to provide guidelines for the disposition of staff and to more accurately reflect the creation of resources as learning design rather than instructional design. It is a model that builds on instructional design processes and integrates concepts of team-based development, shared understanding and the development of relevant communities of practice.

Leading an evidence-based, multi-stakeholder approach to evaluating the implementation of a new online learning environment : an Australian institutional case study

An Australian institutional case study is presented on the evaluation approach being adopted for the implementation of a new online learning environment. Well conceived and inclusive evaluation is seen as essential for the quality management of online learning environments. The focus is on identifying and reconciling the informational needs of various stakeholder groups in the institution, and developing a plan of action covering the key period of implementation. The significant judgements required to carry out evaluation in a multi-campus environment cannot be under-estimated. This is particularly the case given the more recent move to devolving resources and responsibility for the successful implementation of the environment to faculties in the institution concerned. It calls for a more sophisticated conception and set of practices around distributed leadership, as aided by institutions‘ teaching and learning centres. A set of strategic recommendations are offered to help with the evaluation task.

Understanding the context of distance students : differences in on- and off-campus engagement with an online learning environment

 While a growing number of higher education institutions are providing online modes of study for both on- and off-campus students, there are very real differences in demography, technology experiences, reasons for study, etc. between on- and off-campus students, and research into engagement with online learning environments (OLEs) indicate differences in the way that on- and off-campus students interact with OLEs. In Australia, Deakin University is a major provider of distance and online education, and provides a case study of a higher education institution with a mature and large-scale OLE implementation providing support to both on- and off-campus students. Deakin Studies Online (DSO) is Deakin University’s OLE. Based on a representative sample of 1322 responses to the 2011 DSO evaluation survey, this paper presents a large-scale, up-to-date and fine-grained investigation of impact of mode of study on the student experience of using an OLE. It was found that the primary place of access to DSO for both groups was home, mobile access to DSO seems likely to be of growing importance to both groups, and there was no statistically significant difference in the mean satisfaction ratings between on- and off-campus students for virtually all DSO functions. Off-campus students gave significantly higher mean ratings of importance (though not satisfaction) to a range of DSO functions that could be viewed as ‘value adders’ by off-campus students, enhancing their overall learning experience. For more than half of the DSO functions surveyed, on-campus students reported statistically significant higher mean frequency of access than off-campus students. The finding that elements of the institutional OLE are not universally perceived and used the same way by all students groups challenges the value of standard, one-size-fits-all institutional policies and templates relating to the use of OLEs.

Occasional paper : Towards the development of an online learning environment (OLE) quality management framework

The project is committed to understanding, recognising and developing various forms of institutionally relevant distributed leadership in developing and trialling various components of a quality management framework for online learning environments in Australian higher education. This paper provides an overview of issues related to the management and improvement of quality, including in the context of higher education. In response to the complex and multi-dimensional nature of both quality and online learning environments (OLEs), the concept of a framework for organising policies, procedures and actions relating to the good governance of OLEs can be found in the literature. Such frameworks vary in scope, format and title, and a (non-exhaustive) sample is presented in summary here. Key learnings that can be drawn from the exemplars frameworks and the related literature include:
- the processes for the design of such frameworks;
- the components of such frameworks;
- the measurement mechanisms and metrics employed in such frameworks; and
- the validation of such frameworks.

Intelligent agent supported personalization for virtual learning environments

Virtual learning environments (VLEs) are computer-based online learning environments, which provide opportunities for online learners to learn at the time and location of their choosing, whilst allowing interactions and encounters with other online learners, as well as affording access to a wide range of resources. They have the capability of reaching learners in remote areas around the country or across country boundaries at very low cost. Personalized VLEs are those VLEs that provide a set of personalization functionalities, such as personalizing learning plans, learning materials, tests, and are capable of initializing the interaction with learners by providing advice, necessary instant messages, etc., to online learners. One of the major challenges involved in developing personalized VLEs is to achieve effective personalization functionalities, such as personalized content management, learner model, learner plan and adaptive instant interaction. Autonomous intelligent agents provide an important technology for accomplishing personalization in VLEs. A number of agents work collaboratively to enable personalization by recognizing an individual's eLeaming pace and reacting correspondingly. In this research, a personalization model has been developed that demonstrates dynamic eLearning processes; secondly, this study proposes an architecture for PVLE by using intelligent decision-making agents' autonomous, pre-active and proactive behaviors. A prototype system has been developed to demonstrate the implementation of this architecture. Furthemore, a field experiment has been conducted to investigate the performance of the prototype by comparing PVLE eLearning effectiveness with a non-personalized VLE. Data regarding participants' final exam scores were collected and analyzed. The results indicate that intelligent agent technology can be employed to achieve personalization in VLEs, and as a consequence to improve eLeaming effectiveness dramatically.

Personal knowledge development in online learning:a model for measuring externalisation, combination and internalisation

This paper presents a model for measuring personal knowledge development in online learning environments. It is based on Nonaka‘s SECI model of organisational knowledge creation. It is argued that Socialisation is not a relevant mode in the context of online learning and was therefore not covered in the measurement instrument. Therefore, the remaining three of SECI‘s knowledge conversion modes, namely Externalisation, Combination, and Internalisation were used and a measurement instrument was created which also examines the interrelationships between the three modes. Data was collected using an online survey, in which online learners report on their experiences of personal knowledge development in online learning environments. In other words, the instrument measures the magnitude of online learners‘ Externalisation and combination activities as well as their level of internalisation, which is the outcome of their personal knowledge development in online learning.

Working in online groups-the challenges of virtually integrated learning environments

Universities continue to struggle with the need to combine the pedagogical benefits of collaborative learning with large scale, interactive and technologically sophisticated learning and teaching arrproaches and support systems. This challenge requires imaginative approaches if the outcome is not to the 'worst of both worlds' that results in confusion and disillusionism amongst students. This paper presents three case studies that use online technologies to provide collaborative teaching solutions arguably much superior to that possible without an online intervention.

Discomfort at the coalface : issues for sessional tutors teaching in online enhanced learning environments

Higher education institutions are undergoing a period of rapid change during which time a number of strategic professional development efforts have been made to improve teaching in order to improve students’ learning outcomes. Sessional tutors, who are consistently at the coalface and have close contact with students, have often been excluded from formal opportunities for professional development offered to more permanent staff. This anomaly is now being recognised and more efforts are being made across the sector to ensure that tutors are better equipped to teach in contemporary learning environments. This paper discusses issues of concern to tutors that arose from recent professional development workshops and suggests that some of the major issues currently confronting sessional staff relate to the need to be able to teach effectively in online enhanced learning environments.

Tipping points in online-mediated learning environments

Teacher/Student engagement enriches learning experiences beyond the specifics of communicated information by encouraging connectivity and the fostering of learning communities. This paper is an analysis of student engagement in a postgraduate online-mediated learning environment, and considers how engagement may be an important factor in building communities of learning in conjunction with improved learning outcomes. This paper is informed by the conceptual framework for effective e-learning outlined by Garrison and Anderson (2003) as necessary for higher order knowledge building by students as part of skills development for participation in knowledge economies. Data collected through a pilot study infers that a correlation exists between the development of small groups of significantly contributing students within wider online student cohorts and the learning outcomes of all students within the cohort. The findings indicate that a number of small events have increased student engagement and motivation, and resulted in improved learning outcomes.