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Experiencing academic difficulty can deter students’ academic momentum, decreasing the speed with which they complete coursework and increasing the odds that they will not persist to a credential. The purpose of this paper is to expand upon an existing framework that investigates students’ academic difficulty in co-enrolled courses by adding additional co-enrollment variables that may influence academic performance in introductory gateway courses.

This study uses quantile regression to better understand academic difficulty in co-enrolled courses and the impact that students’ co-enrollment patterns may have on their success in focal introductory gateway courses.

This study revealed significant relationships between student success and co-enrollment patterns, including: the disciplinary alignment of the course with a student’s major, the student’s co-enrollment in other difficult courses and experiencing below average academic performance in a co-enrolled course. Further, impact of these relationships often differed by students’ performance quantile in the focal course.

The results point to factors related to the student and their co-enrolled courses that faculty, academic advisors and curriculum committees can consider as they design general education requirements within and across disciplinary majors.

This approach advances the understanding of how a prescribed curriculum produces interdependent pathways that can promote or deter students’ success through the organization of curricular requirements and student course taking. The paper provides a generalizable methodology that can be used by other universities to investigate curricular pathways that have the potential to reduce student success.

The explosive growth in the number of digital tools utilized in everyday learning activities generates data at an unprecedented scale, providing exciting challenges that cross scholarly communities. This paper aims to provide an overview of learning analytics (LA) with the aim of helping members of the information and learning sciences communities understand how educational Big Data is relevant to their research agendas and how they can contribute to this growing new field.

Highlighting shared values and issues illustrates why LA is the perfect meeting ground for information and the learning sciences, and suggests how by working together effective LA tools can be designed to innovate education.

Analytics-driven performance dashboards are offered as a specific example of one research area where information and learning scientists can make a significant contribution to LA research. Recent reviews of existing dashboard studies point to a dearth of evaluation with regard to either theory or outcomes. Here, the relevant expertise from researchers in both the learning sciences and information science is offered as an important opportunity to improve the design and evaluation of student-facing dashboards.

This paper outlines important ties between three scholarly communities to illustrate how their combined research expertise is crucial to advancing how we understand learning and for developing LA-based interventions that meet the values that we all share.

Many of today’s information and technology systems and environments facilitate inquiry, learning, consciousness-raising and knowledge-building. Such platforms include e-learning systems which have learning, education and/or training as explicit goals or objectives. They also include search engines, social media platforms, video-sharing platforms, and knowledge sharing environments deployed for work, leisure, inquiry, and personal and professional productivity. The new journal, Information and Learning Sciences, aims to advance our understanding of human inquiry, learning and knowledge-building across such information, e-learning, and socio-technical system contexts.

This article introduces the journal at its launch under new editorship in January, 2019. The article, authored by the journal co-editors and all associate editors, explores the lineage of scholarly undertakings that have contributed to the journal's new scope and mission, which includes past and ongoing scholarship in the following arenas: Digital Youth, Constructionism, Mutually Constitutive Ties in Information and Learning Sciences, and Searching-as-Learning.

The article offers examples of ways in which the two fields stand to enrich each other towards a greater holistic advancement of scholarship. The article also summarizes the inaugural special issue contents from the following contributors: Caroline Haythornthwaite; Krista Glazewski and Cindy Hmelo-Silver; Stephanie Teasley; Gary Marchionini; Caroline R. Pitt; Adam Bell, Rose Strickman and Katie Davis; Denise Agosto; Nicole Cooke; and Victor Lee.

The article, this special issue, and the journal in full, are among the first formal and ongoing publication outlets to deliberately draw together and facilitate cross-disciplinary scholarship at this integral nexus. We enthusiastically and warmly invite continued engagement along these lines in the journal’s pages, and also welcome related, and wholly contrary points of view, and points of departure that may build upon or debate some of the themes we raise in the introduction and special issue contents.

One of the two main tasks of innovation leadership, a practice to inspire and enable creativity and innovation in organisations, is to construct a creativity-enabling organisational environment. One form of this main task is using developmental interactions, like mentoring, as innovation leadership practices. A hackathon is one type of innovation contest with three designed phases: pre-hackathon, hackathon event and post-hackathon, involving multiple stakeholders with distinct roles, such as hackers and mentors. In a hackathon, the central activity of mentors is to support the hackers’ innovation process, especially in idea creation and concept development. The mentor role has not been focal in hackathon studies; thus, this chapter addresses the role, impact, and ways to acknowledge the mentors as an integral, contributing innovation leadership practice in hackathons. As an empirical study, this chapter presents the results of a public sector case in a Swedish multi-disciplinary municipality conducting intra-organisational hackathons in three different collocations. The chapter contributes to the literature on innovation leadership at the team level with mentorship in innovation contests in the public sector context by revealing the dual-role tension of innovation leadership in mentor activities in the hackathon event phase from both the hackers’ and mentors’ viewpoints, and the necessity of mentor-benefitting training in pre-hackathon phase.

Many methodologies exist to assess the security risks associated with unauthorized leakage, modification and interruption of information used by organisations. This paper argues that these methodologies have a traditional orientation towards the identification and assessment of technical information assets. This obscures key risks associated with the cultivation and deployment of organisational knowledge. The purpose of this paper is to explore how security risk assessment methods can more effectively identify and treat the knowledge associated with business processes.

The argument was developed through an illustrative case study in which a well‐documented traditional methodology is applied to a complex data backup process. Follow‐up interviews were conducted with the organisation's security managers to explore the results of the assessment and the nature of knowledge “assets” within a business process.

It was discovered that the backup process depended, in subtle and often informal ways, on tacit knowledge to sustain operational complexity, handle exceptions and make frequent interventions. Although typical information security methodologies identify people as critical assets, this study suggests a new approach might draw on more detailed accounts of individual knowledge, collective knowledge and their relationship to organisational processes.

Drawing on the knowledge management literature, the paper suggests mechanisms to incorporate these knowledge‐based considerations into the scope of information security risk methodologies. A knowledge protection model is presented as a result of this research. This model outlines ways in which organisations can effectively identify and treat risks around process knowledge critical to the business.

This paper aims to investigate the potential for digital badges to support alternate learning and career pathways in formal and informal learning environments. Stakeholder groups in higher education and industry discussed how digital badges might transform current processes of admitting undergraduate students and hiring young professionals.

This research uses a thematic analysis of in-depth interviews with 30 stakeholders in higher education and the technology industry.

Interview participants expressed optimism about the potential for digital badges to make learning pathways visible to learners and external audiences and to promote equity in STEM (STEM: science, technology, engineering, and mathematics) education and careers. Participants noted several obstacles, largely focused on issues of credibility and logistics of working with badges across settings.

Though the research approach is limited in geographic scope, the findings have broad applicability and insight for the use of digital badges in general.

Education policymakers, employers and scholars will be able to use the insights from this investigation in their efforts to find innovative ways to expand and diversify the STEM workforce, as well as support a wider range of learners than is currently supported by initiatives aligned with the school-to-workforce pipeline metaphor.

This paper directly confronts issues of real-world applications of digital badges by discussing practical implications with college admissions officers and employers. The current study fills a need for research that investigates the use of digital badges across – as opposed to within – contexts.

The purpose of this paper is to discover the research practices of biology researchers and to assess the suitability of the OJAX++ Virtual Research Environment (VRE) for these researchers.

Usability testing was used to evaluate the usability of OJAX++ in relation to biology researchers. Interviews with biology researchers in a large Irish university were conducted to investigate their research information behaviour, to establish user requirements in their discipline and to evaluate the feasibility of using OJAX++ in their research.

The results show that biology researchers used online tools extensively in their research but do not use social networking tools. E-mail and phone conversations are the preferred methods of collaborating with colleagues. The biology researchers found that OJAX++ was easy to use, intuitive and professionally presented but in its present format, OJAX++ does not fit in with current research practices as they do not use Web 2.0 tools that facilitate tagging. A list of requirements of a VRE for biology researchers is presented.

The findings of the study will assist developers of VREs and other web tools to better understand how researchers, in particular biologists, collaborate during the research process and what they require from online research tools. This study gives an important insight into the information behaviour of life science researchers.