How Many Ways Can We Define Online Learning? A Systematic Literature Review of Definitions of Online Learning (1988-2018)

ABSTRACT

Online learning as a concept and as a keyword has consistently been a focus of education research for over two decades. In this paper, we present results from a systematic literature review for the definitions of online learning because the concept of online learning, though often defined, has a range of meanings attached to it. Authors and scholars use the term to mean very distinct, if not contradictory concepts. We conducted systematic literature for over the last 30 years (1988 to 2018) to investigate the number and content of definitions of online learning. We collected 46 definitions from 37 resources and conducted a content analysis on these sets of definitions. Content analysis of the collected definitions led to an understanding of the core elements for defining online learning, the confusion surrounding the terms and the synonyms used for online learning. An evolution of the definition of the concept of online learning was also mapped to the evolution of technology in the last three decades.     

(Dis)ordering Teacher Education: From problem students to problem-based learning

This paper takes issue with the 'disabling' of students enrolled in teacher education courses, perpetrated by definitions of students' learning disorders and by the structures and pedagogies engaged by teacher educators. Focusing on one case, but with relevance for similarly affected systems, the paper begins by outlining the changed student entry credentials of Australian universities and their faculties of education. These are seen as induced by a shift from elite to mass provision of higher education and the particular effect on teacher education providers (especially those located in regional institutions) of the politics of government funding and the continuing demand for teachers by education systems. While these changed conditions are often used to argue an increased university population of students with learning disorders, the paper suggests that such arguments often have more to do with how student problems are defined by institutions and how these definitions serve to secure additional government funding. More pertinently, the paper argues that such definition tends to locate the problem in individual students, deferring considerations of teacher educators' pedagogy and the learning arrangements of their institutions. The paper concludes that the place to begin addressing these issues of difficulty would seem to be with a different conception of knowledge production.     

Algorithmic versus teacher-led sequencing in a digital serious game and the development of second language reading fluency and accuracy

Recent years have seen a surge of calls for personalization of education. Automatised adaptivity in serious games has been advocated as a potential instantiation of such calls. Yet little is known about the extent to which personalised learning through automatised adaptivity poses an advantage for language learning over generalised teacher-led sequencing in digital, game-based learning environments. The goal of this paper is to address this question by comparing the learning outcomes in reading accuracy and fluency of didactic sequences designed by EFL teachers or by an adaptive algorithm. A total of 67 participants completed several proficiency and reading skills pretest and posttest and used the iRead system for 6 months. Results showed that all learners made progress in reading skills, but no significant differences were found between the two sequences in relation to the development of reading skills. It was also shown that adaptivity works best if it leads to increase in the number of games per feature. Results are discussed in the context of previous findings, and the role of adaptivity and sequencing is critically assessed.

Practitioner notes

What is already known about this topic?

• Serious games have the potential to aid learning but empirical research is needed.
• Findings about the efficiency of serious games are mixed.
• Current and reviewed versions of the Simple View of Reading constitute a suitable framework to measure reading acquisition.

What this paper adds?

• It contributes to the growing corpus of research on digital serious games.
• It provides empirical evidence on the use of an adaptive system in formal education.
• Comparing a teacher-led sequence to an algorithmic adaptive sequence on the same digital serious game has never been done before.
• The paper shows the need to obtain both system-internal and system-external data in order to capture the impact of gameplay on the development of L2 reading skills.

Implications for practise and/or policy

• It sheds some light on how certain game designs may actually help practise with different degrees of intervention by teachers.
• It is interesting for teachers to use an adaptive sequence that they can check and intervene in if needed.

     

Sustaining change in a learning organization

Abstract

This article looks at how the application of the concept of a ‘learning organisation’ can be used at a specific organisation in South Africa to change the work performance of its employees. We do this by exploring different theories, models and definitions of organisational learning, learning organisation, organisational knowledge and knowledge management in the field, and against this background examine the perceptions of employees at a South African Organisation. The article underpins this approach by uniquely balancing conceptual rigour with practical experiences of employees at this institution. The view is taken that organisations are living systems that have the capacity to renew themselves by continuously reflecting on their practices and thereby create new knowledge, share and leverage it. Knowledge acquisition and sharing is closely linked to the core values of the organisation in order to achieve business competitiveness, set goals, efficiency, and overall strategic success. The purpose of this article is to understand how an organisation's training department could use the concept of a learning organisation within the South African context to sustain change. To achieve this objective we (the researchers) used a qualitative research paradigm. A phenomenological design presented the research with opportunities to analyse, interpret, and describe the perceptions, feelings and experiences of the participants at the organisation. Eight semi-structured individual interviews provided data for the purposes of this research. The data was analysed to identify categories, themes and sub-themes. The five main themes discussed are organisational learning, organisational culture, organisational change, globalisation and knowledge management and these were linked to the theory of learning organisations and were based on the findings.     

School Effectiveness Research and the Development of Process Indicators of School Functioning

Abstract

Educational systems can quite easily be described in terms of a context‐input‐process‐output model. Likewise systems of educational indicators ‐‐ i.e. statistics on key aspects of educational systems that are of evaluative relevance ‐ can be categorized as context, input, process and output‐indicators. Process‐indicators are the subject of this paper. The rationale for selecting the process‐indicators chosen here was to look for those school‐ and teaching characteristics that are positively associated with educational achievement. The research literature on school and teaching effectiveness is the most relevant for this. An attempt has been made to formulate a comprehensive model of school and teaching effectiveness and to use this as the basis for a list of the most promising process‐indicators. Some of the key process‐variables that are proposed include stimulating environmental factors, achievement oriented policies, educational leadership, amount of instruction, learning opportunities, structured teaching, collaborative planning and evaluative potential of schools. The problems of constructing and using process‐indicators based on these variables are discussed from the perspectives of macro‐, meso‐ and micro‐level applications of educational indicator systems.     

Orienting Toward Teacher Education for Online Environments for All Students

Abstract

The online environment is an expansive educational context distinct from the traditional one. We problematize the current online teacher education landscape and make recommendations for practices that prepare and support teachers as online teachers, rather than teachers who periodically use Internet resources and digital devices for instruction. Recommendations focus on personalization, collaboration, administrative support, program (re)designs, new models of technological integration, attention to standards for teaching and learning, and ongoing professional learning opportunities.     

Missing voices and possible dialogues: problems and possibilities for teacher education

ABSTRACT

Teacher education exists today in a context of rapid globalization, which affects the systems in which future teachers will work, the governance of teachers’ work, the students teachers will be teaching, as well as the policies, programs, curricula and students in teacher education itself. Several ideas recently have gained traction internationally and are shaping the working landscape of teaching and teacher education in many countries. This essay critically examines the circulation of what appear to be a small set of ‘core’ ideas that are influencing national and institutional policies of teacher education. I explore the emergence of new players in teacher education internationally, including individuals, corporations, and international bodies. Using policy documents, influential research studies, university program statements, and interviews, the essay provides a discursive analysis of the contradictory voices in what is becoming a global conversation of teacher education. In many ways, these ideas marginalize the voices of teachers and teacher educators. They tend to narrow the definitions of education and teaching. As a counterpoint to these widely circulating arguments, I explore how reciprocal teacher education exchange programs in China and the US create opportunities for alternative constructions of visions of teaching and teacher learning.     

Formalization and implementation of Eliminating and Optimizing Selection (EOS) approach

The main challenge of e-learning systems is to provide different courses to different students with different learning abilities. Such systems must also be efficient and adaptive. However, adaptivity can be accomplished by improving the ability to select dynamically an appropriate learning object for a specific learner. a framework for individualized learning object selection, called Eliminating and Optimizing Selection (EOS) was proposed by Liu and Greer (2004). In this paper, the EOS framework is further analyzed, implemented and experimented. As a result, a formalization for this framework has been suggested. The computational results of this approach have been compared to the selection results done by other specialists. Comparisons have shown its superiority in terms of producing more optimized selection of learning objects. Moreover, this approach has demonstrated its competitiveness in terms of the selected sequences of learning objects for different learners with different needs.     

Using an adaptive expertise lens to understand the quality of teachers’ classroom implementation of computer-supported complex systems curricula in high school science

Background: This exploratory study is part of a larger-scale research project aimed at building theoretical and practical knowledge of complex systems in students and teachers with the goal of improving high school biology learning through professional development and a classroom intervention.

Purpose: We propose a model of adaptive expertise to better understand teachers’ classroom practices as they attempt to navigate myriad variables in the implementation of biology units that include working with computer simulations, and learning about and teaching through complex systems ideas.

Sample: Research participants were three high school biology teachers, two females and one male, ranging in teaching experience from six to 16 years. Their teaching contexts also ranged in student achievement from 14–47% advanced science proficiency.

Design and methods: We used a holistic multiple case study methodology and collected data during the 2011–2012 school year. Data sources include classroom observations, teacher and student surveys, and interviews. Data analyses and trustworthiness measures were conducted through qualitative mining of data sources and triangulation of findings.

Results: We illustrate the characteristics of adaptive expertise of more or less successful teaching and learning when implementing complex systems curricula. We also demonstrate differences between case study teachers in terms of particular variables associated with adaptive expertise.

Conclusions: This research contributes to scholarship on practices and professional development needed to better support teachers to teach through a complex systems pedagogical and curricular approach.     

Developing Personalized Education: A Dynamic Framework

Personalized education—the systematic adaptation of instruction to individual learners—has been a long-striven goal. We review research on personalized education that has been conducted in the laboratory, in the classroom, and in digital learning environments. Across all learning environments, we find that personalization is most successful when relevant learner characteristics are measured repeatedly during the learning process and when these data are used to adapt instruction in a systematic way. Building on these observations, we propose a novel, dynamic framework of personalization that conceptualizes learners as dynamic entities that change during and in interaction with the instructional process. As these dynamics manifest on different timescales, so do the opportunities for instructional adaptations—ranging from setting appropriate learning goals at the macroscale to reacting to affective-motivational fluctuations at the microscale. We argue that instructional design needs to take these dynamics into account in order to adapt to a specific learner at a specific point in time. Finally, we provide some examples of successful, dynamic adaptations and discuss future directions that arise from a dynamic conceptualization of personalization.

     

Interest-enhancing approaches to mathematics curriculum design: Illustrations and personalization

Two common interest-enhancement approaches in mathematics curriculum design are illustrations and personalization of problems to students’ interests. The objective of these experiments is to test a variety of illustrations and personalization approaches. In the illustrations experiment, students (n?=?265) were randomly assigned to lessons with story problems containing decorative illustrations, contextual illustrations, diagrammatic illustrations, misleading illustrations, or no illustrations (only text [control condition]). Students’ problem-solving performance and attitudes were not affected by illustration condition, but learning was better in the control compared with contextual illustrations. In the personalization experiment, students (n?=?223) were randomly assigned to story problems that were either personalized based on: a survey of their interests, their choice of interest topics, a randomly assigned interest topic, or the original nonpersonalized story problem (control). The findings indicated there were benefits for choice personalization both for performance in the problem set as well as on a later learning assessment.     

Relationships among informal learning environments,teaching procedures and scientific reasoning ability

Informal learning experiences have risen to the forefront of science education as being beneficial to students' learning. However, it is not clear in what ways such experiences may be beneficial to students; nor how informal learning experiences may interface with classroom science instruction. This study aims to acquire a better understanding of these issues by investigating one aspect of science learning, scientific reasoning ability, with respect to the students' informal learning experiences and classroom science instruction. Specifically, the purpose of this study was to investigate possible differences in students' scientific reasoning abilities relative to their informal learning environments (impoverished, enriched), classroom teaching experiences (non-inquiry, inquiry) and the interaction of these variables. The results of two-way ANOVAs indicated that informal learning environments and classroom science teaching procedures showed significant main effects on students' scientific reasoning abilities. Students with enriched informal learning environments had significantly higher scientific reasoning abilities compared to those with impoverished informal learning environments. Likewise, students in inquirybased science classrooms showed higher scientific reasoning abilities compared to those in non-inquiry science classrooms. There were no significant interaction effects. These results indicate the need for increased emphases on both informal learning opportunities and inquiry-based instruction in science.     

A Prose Learning Strategy Training Program Based on Network and Depth-of-Processing Models

Relatively simple changes in cognitive activities during prose learning can have a substantial effect on how much and what kind of information is acquired, yet many students use relatively ineffective learning strategies. This paper describes a learning strategy training program which is based on network models of long-term memory structure and depth-of-processing theory. Evidence is presented which supports the effectiveness of the learning strategy training program in enhancing prose learning among college students.     

The Content of Supervision Scale

ABSTRACT

Despite being regarded as an essential element in social work education, practicums are often arranged with little consideration as to what a potential supervisor can offer a particular student. This paper reports on the developments of the Content of Supervision Scale which can be used by university fieldwork staff to measure the supervisory priorities of potential supervisors. Three distinct dimensions of supervision sessions are measured: ‘student learning,’ ‘becoming a social worker’ and ‘social work theory and practice.’ Each of these subscales have demonstrated internal consistency. By matching what supervisors can offer with students' educational needs, the potential for student learning is likely to be enhanced.     

Positive beliefs about errors as an important element of adaptive individual dealing with errors during academic learning

Research on learning from errors gives reason to assume that errors provide a high potential to facilitate deep learning if students are willing and able to take these learning opportunities. The first aim of this study was to analyse whether beliefs about errors as learning opportunities can be theoretically and empirically distinguished from adaptive reactions to errors in an affective-motivational sense (including the maintenance of motivation and activating emotions), and in terms of learning behaviour and metacognitive activities specifically adjusted in response to a specific error. The second aim was to validate the proposed distinction across different domains. The third aim was to investigate the added value of beliefs about errors besides domain-specific self-concept and mastery goal orientation for understanding the preconditions for adaptive reactions to errors at school. We assessed all variables in three different school subjects (N = 614 students, Grades 5–7). Confirmatory factor analyses indicated distinctness and a moderate domain specificity of error-related reactions. Positive error-related beliefs predicted students’ affective-motivational and action adaptivity of error reactions, above and beyond self-concepts and goal orientations. Taken together, the current findings provide a more complete understanding of the intra-personal mechanisms of adaptive responses to errors in different school subjects.     

Assessing Effects of Schooling With Cross-Sectional Data: Between-Grades Differences Addressed as a Selection-Bias Problem

Abstract

This article details how cross-sectional data may be used to assess the effect of schooling. The methodology proposed requires that the data derive from two (or more) adjacent grades. Differences in learning outcomes between grades are assumed to be accounted for by differences in age, the education received, and unmeasured variables affecting both assignment to grades and learning outcomes. The approach presented includes an estimation of the impact of these unmeasured variables. It was applied to the TIMSS-95 data, which relate to student achievement and attitudes to both mathematics and science in 15 different countries. This research illustrated that the proposed approach yielded results that were very close to estimates based on an instrumental variables method.     

Teachers’ learning in school-based development

Background and purpose: Many researchers agree that teachers’ learning processes are social and that teachers need to be brought together to learn from each other. Researchers have also stated that intellectual and pedagogical change requires professional development activities that take place over a period of time in school. The purpose of the study presented in the article was to develop knowledge about the teachers’ learning when taking part in a school-based development project. Main argument: The study shows that it takes some time before the teachers identify with the work in school-based development. Even though the national authorities decided what to focus on during the development work, the participating teachers felt that they had autonomy in the work. The study presented in the article shows that it is important for the teachers’ learning culture that they are listened to and taken into consideration and that the leaders have competence in leading school-based development to support the teachers’ learning. Sources of evidence and method: The article is based on a study connected with school-based development in three lower secondary schools. Qualitative interviews were used as the data-collection strategy to capture the teachers’ and school leaders’ experiences and reflections. Conclusion: The article presents new knowledge connected with teachers’ learning in school-based development. The study presented in the article shows that schools’ learning culture can make a difference for the teachers’ learning and their job satisfaction and wellbeing.     

Perspectives on defining ‘The Learning Society‘

This article, written primarily from the perspective of employment‐related learning, seeks to challenge several common assumptions about the Learning Society: that learning depends on the provision of education and training, that provision is based on sufficient attention to wants and valid assessment of needs; that provision is appropriately distributed between different types of knowledge; that transfer of knowledge is an event rather than a process; that expertise can be represented in terms of propositional knowledge alone; that current job competence is an adequate basis for assessing individual capability or organizational need. An alternative conceptual framework is proposed which takes account of recent research into the complex, multifaceted nature of expertise; reframes the concept of transfer as a learning process which requires dedicated time and effort; treats individual learning for employment in terms of comprising capability, competence and understanding; clarifies the tension between short‐term efficiency and long‐term adaptability in people and organizations; and provides operational definitions for studying learning groups, learning organizations and a learning society.     

Personalized recommender system for e-Learning environment

Traditional e-Learning environments are based on static contents considering that all learners are similar, so they are not able to respond to each learner’s needs. These systems are less adaptive and once a system that supports a particular strategy has been designed and implemented, it is less likely to change according to student’s interactions and preferences. New educational systems should appear to ensure the personalization of learning contents. This work aims to develop a new personalization approach that provides to students the best learning materials according to their preferences, interests, background knowledge, and their memory capacity to store information. A new recommendation approach based on collaborative and content-based filtering is presented: NPR_eL (New multi-Personalized Recommender for e Learning). This approach was integrated in a learning environment in order to deliver personalized learning material. We demonstrate the effectiveness of our approach through the design, implementation, analysis and evaluation of a personal learning environment.