Initial teacher education by open and distance modes: A snapshot of e-competency experiences in Australia

This paper explores the need for greater clarity of the effectiveness of initial teacher education by open and distance modes. Reports about global teacher shortages are not new. However, the recent infograph produced by the United Nations Education, Science, and Cultural Organisation (2013) paints an alarming picture. One way to assist in the supply of sufficient qualified school teachers is to provide initial teacher education (ITE) at a distance. This paper reports on an investigation of e-competency experiences of first-year students enrolled in distance-delivered ITE. The findings from in-depth interviews by all respondents as the preferred study mode. More importantly, a number of participants reported that for them, it is the only way to gain a teaching qualilfication even though some acknowledge a lack of e-competency skills at the commencement of their studies

The Dynamics of Learning Engagement in Challenge-Based Online Learning

Vast amounts of educational data created by learners interacting with digital learning tools open up the opportunity to gain insights for improving education at a new level of evidence-based research into learning and teaching. This study is part of a research programme investigating the dynamics and impacts of learning engagement in a challenge-based online learning environment. Learning engagement is a multidimensional concept which includes an individual’s ability to behaviourally, cognitively, emotionally, and motivationally engage in an on-going learning process. Challenge-based learning gives significant freedom to the learner to decide what and when to engage and interact with digital learning materials. In light of previous empirical findings, we expect that learning engagement is positively related to learning performance in a challenge-based online learning environment. This study was based on data from the Careers Challenge platform, including transaction data from 8,951 students. Findings indicate that learning engagement in challenge-based online learning environments is, as expected, positively related to learning performance. Implications point toward the need for personalised and adaptive learning environments to be developed in order to cater for the individual needs of learners in challenge-based online learning environments

The synergistic and dynamic relationship between learning design and learning analytics

The synergistic relationship between learning design and learning analytics has the potential for improving learning and teaching in near real-time. The potential for integrating the newly available and dynamic information from ongoing analysis into learning design requires new perspectives on learning and teaching data processing and analysis as well as advanced theories, methods, and tools for supporting dynamic learning design processes. Three perspectives of learning analytics design provide summative, real-time, and predictive insights. In a case study with 3,550 users, the navigation sequence and network graph analysis demonstrate the potential of learning analytics design. The study aims to demonstrate how the analysis of navigation patterns and network graph analysis could inform the learning design of self-guided digital learning experiences. Even with open-ended freedom, only 608 sequences were evidenced by learners out of a potential number of hundreds of millions of sequences. Advancements of learning analytics design have the potential for mapping the cognitive, social and even physical states of the learner and optimise their learning environment on the fly

Digital transformation in learning organizations

This concluding chapter takes a summarizing look at the contributions of the anthology, guided by two overarching questions: What dimensions are involved in the digital transformation of learning organizations? Which design perspectives can be used for digital transformation in learning organizations? In conclusion, this chapter leads back to the starting point of the anthology: the project #ko.vernetzt and the question of what significance the dimensions and design perspectives of digital transformation have in learning organizations

Putting learning back into learning analytics: actions for policy makers, researchers, and practitioners

This paper is based on (a) a literature review focussing on the impact of learning analytics on supporting learning and teaching, (b) a Delphi study involving international expert discussion on current opportunities and challenges of learning analytics as well as (c) outlining a research agenda for closing identified research gaps. Issues and challenges facing educators linked to learning analytics and current research gaps were organised into four themes, the further development of which by the expert panel, led to six strategy and action areas. The four themes are 1. development of data literacy in all stakeholders, 2. updating of guiding principles and policies of educational data, 3. standards needed for ethical practices with data quality assurance, and 4. flexible user-centred design for a variety of users of analytics, starting with learners and ensuring that learners and learning is not harmed. The strategies and actions are outcomes of the expert panel discussion and are offered as provocations to organise and focus the researcher, policymaker and practitioner dialogs needed to make progress in the field

Model-Based Methods for Assessment, Learning, and Instruction: Innovative Educational Technology at Florida State University

Abstract In this chapter, we describe our research and development efforts relating to eliciting, representing, and analyzing how individuals and small groups conceptualize complex problems. The methods described herein have all been devel-oped and are in various states of being validated. In addition, the methods we describe have been automated and most have been integrated in an online model-based set of tools called HIMATT (Highly Interactive Model-based Assessment Tools and Technologies; available for research purposes a

Tracing digital transformation in educational organizations

This chapter describes the quantitative approaches for assessing various aspects of digital transformation from the joint research and development project #ko.vernetzt. In an application-oriented case study approach, the operationalization of a maturity model of digital transformation for educational organizations (MMEO) and the design and implementation of a multi-perspective evaluation concept are outlined. While the MMEO provides a state perspective on the digital transformation of an educational organization and its employees, the evaluation concept aims at tracing developments of media-related professional competencies. MMEO has been implemented in a study with N = 222 participants, while N = 59 learners were subject to the evaluation polls. The results provide the necessary evidence for implementing and continuously improving a qualification program in the regarded research context. However, the methodology can also be transferred to other organizations in the education sector and beyond

A Framework to Support Interdisciplinary Engagement with Learning Analytics

Learning analytics can provide an excellent opportunity for instructors to get an in-depth understanding of students’ learning experiences in a course. However, certain technological challenges, namely limited availability of learning analytics data because of learning management system restrictions, can make accessing this data seem impossible at some institutions. Furthermore, even in cases where instructors have access to a range of student data, there may not be organized efforts to support students across various courses and university experiences. In the current chapter, the authors discuss the issue of learning analytics access and ways to leverage learning analytics data between instructors, and in some cases administrators, to create interdisciplinary opportunities for comprehensive student support. The authors consider the implications of these interactions for students, instructors, and administrators. Additionally, the authors focus on some of the technological infrastructure issues involved with accessing learning analytics and discuss the opportunities available for faculty and staff to take a multi-pronged approach to addressing overall student success.https://scholarworks.wm.edu/educationbookchapters/1045/thumbnail.jp

Modelling Students’ Thematically Associated Knowledge : Networked Knowledge from Affinity Statistics

Peer reviewe

Challenges for IT-Enabled Formative Assessment of Complex 21st Century Skills

In this article, we identify and examine opportunities for formative assessment provided by information technologies (IT) and the challenges which these opportunities present. We address some of these challenges by examining key aspects of assessment processes that can be facilitated by IT: datafication of learning; feedback and scaffolding; peer assessment and peer feedback. We then consider how these processes may be applied in relation to the assessment of horizontal, general complex 21st century skills (21st CS), which are still proving challenging to incorporate into curricula as well as to assess. 21st CS such as creativity, complex problem solving, communication, collaboration and self-regulated learning contain complex constructs incorporating motivational and affective components. Our analysis has enabled us to make recommendations for policy, practice and further research. While there is currently much interest in and some progress towards the development of learning/assessment analytics for assessing 21st CS, the complexity of assessing such skills, together with the need to include affective aspects means that using IT-enabled techniques will need to be combined with more traditional methods of teacher assessment as well as peer assessment for some time to come. Therefore learners, teachers and school leaders must learn how to manage the greater variety of sorts and sources of feedback including resolving tensions of inconsistent feedback from different sources