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This paper aims to address research gaps around third party data flows in education by investigating governance practices in higher education with respect to learning management system (LMS) ecosystems. The authors answer the following research questions: how are LMS and plugins/learning tools interoperability (LTI) governed at higher education institutions? Who is responsible for data governance activities around LMS? What is the current state of governance over LMS? What is the current state of governance over LMS plugins, LTI, etc.? What governance issues are unresolved in this domain? How are issues of privacy and governance regarding LMS and plugins/LTIs documented or communicated to the public and/or community members?

This study involved three components: (1) An online questionnaire about LMS, plugin and LTI governance practices from information technology professionals at seven universities in the USA (n = 4) and Canada (n = 3). The responses from these individuals helped us frame and design the interview schedule. (2) A review of public data from 112 universities about LMS plugin and LTI governance. Eighteen of these universities provide additional documentation, which we analyze in further depth. (3) A series of extensive interviews with 25 university data governance officers with responsibilities for LMS, plugin and/or LTI governance, representing 14 different universities.

The results indicate a portrait of fragmented and unobtrusive, unnoticed student information flows to third parties. From coordination problems on individual college campuses to disparate distributions of authority across campuses, as well as from significant data collection via individual LTIs to a shared problem of scope across many LTIs, the authors see that increased and intentional governance is needed to improve the state of student privacy and provide transparency in the complex environment around LMSs. Yet, the authors also see that there are logical paths forward based on successful governance and leveraging existing collaborative networks among data governance professionals in higher education.

Substantial prior work has examined issues of privacy in the education context, although little research has directly examined higher education institutions’ governance practices of LMS, plugin and LTI ecosystems. The tight integration of first and third-party tools in this ecosystem raises concerns that student data may be accessed and shared without sufficient transparency or oversight and in violation of established education privacy norms. However, these technologies and the university governance practices that could check inappropriate data handling remain under-scrutinized. This paper addresses this gap by investigating the governance practices of higher education institutions with respect to LMS ecosystems.

The purpose of this paper is to present a strategic management framework for a successful digital transformation (DT) roll-out aimed at enabling organisational resilience. The study aims to identify the critical areas of consideration for management to strategically approach DT in order to build resilience.

The research study is based on the 3Ps framework: (1) people (culture, capabilities, engagement and well-being), (2) processes (systems) and (3) plant (technological infrastructure and tools). The research methodology is a qualitative study comprising semi-structured in-depth interviews, conducted with industry experts in different sectors undergoing major digital disruptions such as financial services, mining, oil and gas, energy and retail.

The research findings show that the successful roll-out of an organisation’s DT is largely driven by the people elements incorporating organisational culture, workforce skills and training and employee well-being. It also highlights that it is critical for organisations to invest in technological infrastructure, once the people elements have been addressed, as they are the drivers of technology implementation.

A bigger and broader sample size can validate the elements and structure of the DT framework in South Africa.

The study’s discussion unlocks understanding about: (1) what are the key enablers for successful DT; (2) what hinders organisations from realising the value of digital investments and (3) a strategic framework for the digital roll-out.

Technology is impacting employees at both a personal and professional levels. Ensuring that DT rollouts are strategical implemented lowers the impact on technostress and strengthens resilience.

The value and practical implication of this study is that the developed strategic framework can be used by managements to enable the smooth adoption of DT toward building organisational resilience in developing countries such as South Africa with low digital maturity.

This paper is an extension of a panel presentation delivered in response to a joint call for panels by the Social Informatics and Information Ethics and Policy Special Interest Groups for the 2022 Association for Information Science and Technology conference. The purpose is to introduce critical race frameworks and tenets as a lens to develop, assess and analyze the social informatics (SI) within information science (IS) research, professional discourse, praxis and pedagogical paradigms. This paper spotlights one of the presentations from that panel, an iteration of Critical Race Theory (CRT) designed specifically for information studies: CRiTical Race information Theory (CRiT).

Just as importantly, using SI as part of the context, the paper also includes a discussion that illustrates research and theory building possibilities as both counter and complement to the technocratic advances that permeate society at every level (macro, mezzo and micro), which can also be reasonably framed as the information industrial complex. Thus, CRiT joins other forms of critical discourse and praxis grappling with deconstructing, decolonizing, demarginalizing and demystifying the influence and impact of information technologies. While CRiT has global intentions and implications, this specific discussion has an extensive American focus.

If we consider the rapid pace in which techno-determinism is moving toward the vise grip of techno-fatalism controlled by frameworks generated from the information industrial complex, we can reasonably consider that humanity on a global basis is living within a meta-large technocratic crisis moment. This crisis moment is both acute and chronic. That is, the technocratic crisis is continuously moving quickly while simultaneously worsening over an extended period of time with no remedies and few responses to substantively address the crisis.

Part of the nature of information and data is measurability. Thus, identifying compatible nomenclature connecting the descriptiveness of intersectionality (a seminal CRT tool) as a qualitative research method to the measurability of data connected to quantitative research, a mixed method approach moves from possible to plausible. Additionally, within IS, there are often opportunities to measure human engagement, such as social media content, search engine use, assessing practices of categorizations, and multiple forms of surveillance data as a short list. Hence, the descriptiveness of intersectional qualitative research “mixed” with the measurability of quantitative research within information settings implies exponential methodological possibilities.

CRiT is multilayered, on the one hand, with the intention of being a discipline-specific, information-specific form of CRT. On the other hand, CRiT theory building is interdisciplinary and transdisciplinary based on information as omnipresent phenomena. An ongoing challenge for CRiT theory building is identifying and working within a balance between, practitioners who typically throw anything and everything at practical problems, while scholars often slice problems into such small segments that practical understanding is severely limited. Embracing and integrating the dynamic interplay between developing ideas and using them is the key to evolving CRiT within the social sciences.

There is plenty of room as well as a need for additional narrative discussing or challenging the use or appropriation of information from a technocratic approach, a counter to the information industrial complex.

CRiT is emerging and cutting edge in discussion that addresses the technocratic determinism found in most scholarly discourses.

The paper aims to expand on the works well documented by Joy Boulamwini and Ruha Benjamin by expanding their critique to the African continent. The research aims to assess if algorithmic biases are prevalent in DALL-E 2 and Starry AI. The aim is to help inform better artificial intelligence (AI) systems for future use.

The paper utilised a desktop study for literature and gathered data from Open AI’s DALL-E 2 text-to-image generator and StarryAI text-to-image generator.

The DALL-E 2 significantly underperformed when it was tasked with generating images of “An African Family” as opposed to images of a “Family”. The pictures lacked any conceivable detail as compared to the latter of this comparison. The StarryAI significantly outperformed the DALL-E 2 and rendered visible faces. However, the accuracy of the culture portrayed was poor.

Because of the chosen research approach, the research results may lack generalisability. Therefore, researchers are encouraged to test the proposed propositions further. The implications, however, are that more inclusion is warranted to help address the issue of cultural inaccuracies noted in a few of the paper’s experiments.

The paper is useful for advocates who advocate for algorithmic equality and fairness by highlighting evidence of the implications of systemic-induced algorithmic bias.

The reduction in offensive racism and more socially appropriate AI can be a better product for commercialisation and general use. If AI is trained on diversity, it can lead to better applications in contemporary society.

The paper’s use of DALL-E 2 and Starry AI is an under-researched area, and future studies on this matter are welcome.