Technology Practitioners Research Articles

Inhabiting the “Third Space” in Higher Education:

This institutional-level case study seeks to explore the experiences of a subset of educational technology practitioners working in an Irish university. The concept of the “third space” in the context of higher education is utilised to understand the space that crosses pedagogical, technological, and academic fields in which educational technologists find themselves operating in. Drawing on Celia Whitchurch’s typologies of “third-space” higher educational professionalism the paper reflects on the true experiences and insights of educational technology practitioners who inhabit this space. It reveals their actual job realities as they seek to carve out their role and legitimise their identities within existing university structures. The discussion draws upon the themes emerging in the context of the scholarly field in which the research is situated. The author advocates that universities need to enable more supportive structures which are conducive to educational technologists working effectively in the third space and developing professionally in a responsive manner to the changing higher education landscape. To conclude, the practical implications of the study, the limitations and further research opportunities are highlighted. Keywords: third space, higher education, educational technologists or learning technologists, professional identity

Languaging Ethics in Technology Practice

Ethics as embodied by technology practitioners resists simple definition—particularly as it relates to the interplay of identity, organizational, and professional complexity. In this article, we use the linguistic notion of languaging as an analytic lens to describe how technology and design practitioners negotiate their conception of ethics as they reflect upon their everyday work. We engaged 12 practitioners in individual co-creation workshops, encouraging them to reflect on their ethical role in their everyday work through a series of generative and evaluative activities. We analyzed these data to identify how each practitioner reasoned about ethics through language and artifacts, finding that practitioners used a range of rhetorical tropes to describe their ethical commitments and beliefs in ways that were complex and sometimes contradictory. Across three cases, we describe how ethics was negotiated through language across three key zones of ecological emergence: the practitioners’ “core” beliefs about ethics, internal and external ecological elements that shaped or mediated these core beliefs, and the ultimate boundaries they reported refusing to cross. Building on these findings, we describe how the languaging of ethics reveals opportunities to definitionally and practically engage with ethics in technology ethics research, practice, and education.

Enhancing Classroom Learning: ChatGPT's Integration and Educational Challenges

Artificial intelligence is rapidly reshaping various aspects of society, including the realm of education. The emergence of ChatGPT in November 2022 has ignited global discourse, prompting numerous studies to explore its potential benefits and drawbacks, particularly within higher education. ChatGPT offers numerous advantages for teaching and learning, such as promoting personalized education, assisting in research paper writing, refining grammar, and writing skills, and fostering critical thinking. However, alongside its benefits, concerns regarding ethical considerations and academic integrity have been raised. This paper delves into the role of ChatGPT as an AI tool, examining studies conducted between 2022 and 2023. It also addresses the ethical and academic dilemmas associated with its widespread use. Additionally, the paper discusses the challenges impeding the seamless integration of AI in education, particularly in developing countries like Jordan. Furthermore, it sheds light on Jordan's efforts to embrace artificial intelligence in education and underscores the necessity for an education-centric AI policy to cultivate skilled professionals capable of navigating the global AI revolution. Despite varying conclusions across studies, this review underscores the importance of prioritizing the education sector within Jordanian AI policies. Such prioritization is crucial given the sector's role in nurturing skilled individuals and implementing curricula effectively, thus facilitating national development. This paper holds significance for researchers, educational technology practitioners, and policymakers alike, offering insights into the multifaceted implications of AI integration in education and advocating for informed policy decisions to harness its potential effectively.

Landscape Mapping: Investigating the Scope of Information Systems and Technology in Contemporary Organizations

In today's fast-paced business environment, the integration of Information Systems (IS) and technology is crucial for organizational success. This research aims to explore the landscape of Information Systems and Technology (IST) within contemporary organizations, investigating its multifaceted dimensions across diverse organizational contexts. Through a systematic examination, this study seeks to shed light on the intricate relationships between technology and organizational functionality, offering insights into IST deployment, utilization, and management strategies. By employing bibliometric analysis, thematic mapping, and author collaboration network analysis, this research provides a comprehensive understanding of IST research dynamics, trends, and future directions. The findings not only contribute to scholarly discourse but also offer practical implications for organizational stakeholders, policymakers, and technology practitioners.

Who Should Act? Distancing and Vulnerability in Technology Practitioners' Accounts of Ethical Responsibility

Attending to emotion can shed light on why recognizing an ethical issue and taking responsibility for it can be so demanding. To examine emotions related to taking or not taking responsibility for ethical action, we conducted a semi-structured interview study with 23 individuals working in interaction design and developing AI systems in Scandinavian countries. Through a thematic analysis of how participants attribute ethical responsibility, we identify three ethical stances, that is, discursive approaches to answering the question 'who should act': an individualised I-stance ("the responsibility is mine"), a collective we-stance ("the responsibility is ours"), and a distanced they-stance ("the responsibility is someone else's"). Further, we introduce the concepts of distancing and vulnerability to analyze the emotion work that these three ethical stances place on technology practitioners in situations of low- and high-scale technology development, where they have more or less control over the outcomes of their work. We show how the we- and they-stances let technology practitioners distance themselves from the results of their activity, while the I-stance makes them more vulnerable to emotional and material risks. By illustrating the emotional dimensions involved in recognizing ethical issues and embracing responsibility, our study contributes to the field of Ethics in Practice. We argue that emotions play a pivotal role in technology practitioners' decision-making process, influencing their choices to either take action or refrain from doing so.

Self‐regulation and shared regulation in collaborative learning in adaptive digital learning environments: A systematic review of empirical studies

AbstractAdaptive learning technologies are closely related to learners' self‐regulatory processes in individual and collaborative learning. This study presents the outcomes of a systematic literature review of empirical evidence on adaptive learning environments to foster self‐regulation and shared regulation of learning in collaborative settings. We provide an overview of what and how adaptive technologies have been used to understand and promote self‐regulated learning in collaborative contexts. A search resulted in 38 papers being analysed. Specifically, we identified the seven main objectives (feedback and scaffolding, self‐regulatory skills and strategies, learning trajectories, collaborative learning processes, adaptation and regulation, self‐assessment, and help‐seeking behaviour) that the adaptive technology research has been focusing on. We also summarize the implications derived from the reviewed papers and frame them within seven thematic areas. Finally, this review stresses that future research should consider developing a converging theoretical framework that would enable concrete monitoring and support for self‐regulation and socially shared regulation of learning. Our findings set a baseline to support the adoption and proliferation of adaptive learning technology within self‐regulated learning research and development. Practitioner notesWhat is already known about this topic By providing personalized and learner‐centric adaptive learning environments (ADLEs), adaptive learning technology can support and foster self‐regulated learning (SRL) practices. It is possible to create a more student‐centred and effective learning environment by combining adaptive learning and collaborative learning. Socially shared regulatory activities can involve planning, monitoring, controlling and reflecting on a group's learning processes. What this paper adds Provides a systematic literature review of empirical evidence on ADLEs, SRL and socially shared regulation of learning (SSRL) in collaborative contexts. Summarizes the insights on (S)SRL through ADLEs in collaborative learning. Identifies challenges and opportunities for ADLEs to support (S)SRL in collaborative learning. Implications for practice and/or policy Learning analytics and educational technology researchers will be able to use the systematic review as a guide for future research. Learning analytics and educational technology practitioners will be able to use the systematic review as a summary of the field's current state.

Augmented Reality and Nursing Care Improvement: Enhancing Patient Outcomes and Nursing Efficiency

Abstract The advanced technology of augmented reality (AR) is still finding its place in various fields, including healthcare. Much of the discussion of AR in this review article revolves around its potential to improve care in nursing, with particular emphasis on the effects on patient outcomes and work satisfaction among nurses. There are challenges in using conventional approaches to nursing education and clinical skill training, which include the availability of resources and real patients for practice. AR solves these issues by updating the learning mode, as students can immerse in virtually real and actual scenarios in clinical settings for nursing students. These simulations include procedures such as intravenous (IV) line insertion and emergency care, as well as the “skills check” that is presented immediately after providing retention of skills and assurance. In clinical applications, AR can display pertinent patient information, including physical examination data, laboratory data, or patient history, on the surface of the patient’s skin or the side of the bed. This real-time data integration increases the level of accuracy in monitoring, minimizes the possibility of human error occurrence, and increases the workflow rate. Moreover, AR can give step-by-step instructions and snap a clinician back to the key general rules of practice, which is highly essential during stressful conditions, such as in an emergency. However, going beyond the traditional roles of education and decision support, AR can help to optimize patients’ direct care and management activities, including IV-line insertion and wound evaluation. The present technology also has the advantage of giving valuable instruments of patient awareness, thus making patients easily understand even those medical conditions and treatments that may be perceived to be complicated and, therefore, enhance patient compliance with the recommended treatments. The demonstrated possibility to use AR to control the levels of pain and anxiety, along with other advantages, only proves the multifunctional nature of this technology. However, there are some setbacks in AR, such as technical ones, costs, and sufficient training for AR to be utilized optimally. The barriers that need to be overcome are also presented and require improvement for the implementation on a large scale. Further studies and innovations with health-care authorities and technology practitioners are essential for the advancement of AR in nursing care and its capability of enhancing patient well-being and nurses’ productivity.

Understanding the Role of Electrode Thickness on Redox Flow Cell Performance**

AbstractThe electrode thickness is a critical design parameter to engineer high performance redox flow cells by impacting the available surface area for reactions, current and potential distributions, and required pumping power. To date, redox flow cell assemblies employ repurposed off‐the‐shelf fibrous electrodes which feature a broad range of thicknesses. However, comprehensive guidelines to select the optimal electrode thickness for a given reactor architecture remain elusive. Here, we investigate the effect of the electrode thickness in the range of 200–1100 μm on the cell performance by stacking electrode layers in four different flow cell configurations – Freudenberg paper and ELAT cloth electrodes combined with flow‐through and interdigitated flow fields. We employ a suite of polarization, electrochemical impedance spectroscopy and pressure drop measurements together with pore network modeling simulations to correlate the electrode thickness for various reactor designs to the electrochemical and hydraulic performance. We find that thicker electrodes (420 μm paper electrodes and 812 μm cloth electrodes) are beneficial in combination with flow‐through flow fields, whereas when using interdigitated flow fields, thinner electrodes (210 μm paper electrodes and 406 μm cloth electrodes) result in a better current density and pressure drop trade‐off. We hope our findings will aid researchers and technology practitioners in designing their electrochemical flow cells under convective operation.

The Effect of Digital Journalism Training on Media Sub Domain PR FM and PR MN on Cognitive Improvement of the Editorial Crew

Handling hoaxes is the responsibility of journalism, and Digital Journalism must act as a beacon of accurate information in society. Ethical and reliable journalism fosters a healthy cycle of information dissemination. The rapid and widespread accessibility of information on social media inundates the public with unverified content. Mainstream media outlets have adopted strategies to maintain speed while upholding the quality of their coverage. One effective approach employed by online media is the media incubator strategy, where subdomains are developed under the main domain to swiftly gather information from various regions, including PR FM and Minds of the People Media Networks (PRMN). Consequently, the Community Service Program (PKM) with a focus on editorial targets in media subdomains at PR FM and PRMN becomes vital. This initiative involved providing training by technology practitioners, press professionals, and academics from Fikom Unisba. The training emphasized online and digital journalism, with a strong emphasis on journalistic ethics in news and feature writing, as well as utilizing technology for news reporting. The results of this activity demonstrated a significant improvement in the cognitive insight of the journalists, as evident from the difference in pre-test and post-test scores conducted before and after the training.
 Keywords: digital journalism, subdomain media, journalists

The Application of Artificial Intelligence in the Integrated English Course Teaching Mode

This article aims to explore the teaching mode of the integrated English course based on artificial intelligence. First, thearticle introduces the application of artificial intelligence in the field of education and explains why artificial intelligencecan bring innovation to English language teaching. Then, the article explores the advantages of AI-based integratedEnglish curriculum teaching mode. Finally, it shows how AI can be used to improve students’ listening, speaking,reading, writing, and translating skills and promote students’ participation and personalized learning. This article isintended to provide a valuable reference for English education advocates and educational technology practitioners.

Spectrum of AI futures imaginaries by AI practitioners in Finland and Singapore: The unimagined speed of AI progress

AI teases our imagination: People have created various dystopian and utopian imaginaries of the era of AI. Although the key group creating and realizing AI-related futures imaginaries are the technology practitioners who research, develop, and apply AI, empirical research has focused on collective rather than individually interpreted imaginaries. Empirical research on individual practitioners’ futures imaginaries is necessary, as well as fine-tuning the related vocabulary to support individual and non-linear perspectives. We present an empirical study in which we interviewed 35 AI and robotics practitioners based in Finland and Singapore. We asked (1) what kind of best and worst futures imaginaries the practitioners of AI and robots envision and (2) how the practitioners imagine likely futures will emerge. As a result, we present three continuums. Along these continuums, the practitioners consider variations of likely futures: (1) the best, (2) in between, and (3) the worst. Our analysis reveals decisive questions behind the continuums regarding the agent in control, relations in practitioner communities and society, and justified concentration of power.

Enhancing Class Management in Chinese Schools Through Semantic Web Technologies

This paper explores the potential of utilizing semantic web technologies to improve class management in Chinese schools. By analyzing a comprehensive dataset obtained from the Scopus database, the study investigates publication trends, document types, keyword distributions, and author contributions in the field of semantic web technologies for class management. The findings reveal a growing interest in this research area and highlight the benefits of semantic web technologies in personalized learning, information retrieval, collaboration, and assessment. The paper discusses the practical implications, challenges, and considerations for implementing semantic web technologies in Chinese schools. It aims to provide valuable insights for educators, researchers, policymakers, and educational technology practitioners interested in enhancing class management practices through the innovative use of semantic web technologies.

Analisis Hukum dan Syariah dalam Budaya Digital

This research aims to examine the legal and Sharia challenges in the context of digital culture. The research method used is literature analysis and literature review. In this study, it was found that the development of digital technology has significant implications for the fields of law and Sharia, especially in the context of digital culture. Some of the challenges faced include issues of privacy, data security, validity of online transactions, as well as ethical and moral issues in the use of digital technology. The research results show that law and Sharia must continue to evolve to cope with the rapid changes in digital culture. This involves a deep understanding of the principles of law and Sharia and their application in the digital context. Furthermore, it is important for legal and Sharia practitioners to address emerging challenges in the digital culture, including engaging in collaborations among legal, Sharia, and technology experts to tackle complex issues. This research contributes to the understanding of legal and Sharia challenges in the digital culture and provides a basis for policy-making and relevant regulatory development to address the rapidly changing digital culture. This research is expected to provide guidance and direction for legal, Sharia, and technology practitioners in navigating the evolving digital culture

Designing an app for alternative access assessments: using interviews to uncover and define user needs

ABSTRACT To support effective alternative access assessment and service delivery for people with motor impairments, we are developing an app called Access Navigator. This paper describes the first stage of the project: the interviews we conducted as part of a discovery process to improve our understanding of user needs. We individually interviewed 8 assistive technology practitioners and 3 clients who use alternative access methods, to learn what practitioners were currently doing in their access assessments, identify opportunities for improving current practice, and understand what the assessment process was like for clients. We extracted 236 relevant quotes from interview transcripts, and clustered the quotes using the affinity wall method, yielding 42 themes. Here we present the 21 highest priority themes, along with the app requirements that support those themes. Results confirmed the need for a tool to support more effective assessments, with emphasis on taking the worry out of access assessments and supporting early success. Results also revealed specific needs such as flexible workflow, personalized test-drive tasks, and a choice of metrics (including client preference). With a richer understanding of user needs, we are in a much better position to design software that can address those needs.

A perspective on occupational therapy and assistive technology: Research, contributions, challenges and global initiatives

ABSTRACT Many occupational therapists are skilled assistive technology practitioners and provide a variety of services to assistive technology users and their families through their use of intervention models that integrate the client, occupation and environment. Occupational therapy education, translation of current research into practice and clinical competency ensure that assistive technology users can enjoy accessing their community and environment independently, safely, adequately, and freely. This white paper illustrates the role of occupational therapists in the provision of assistive technology devices to promote better understanding of facilitators and challenges affecting the provision of assistive technology globally. It also reviews literature and discusses positions of professional organizations. Finally, we summarize global efforts, recommendations and strategies to build collaborative partnerships, develop innovative service models, use best available evidence, advocate for supportive public policy, promote occupational therapy services and professional development relating to assistive technology provision, and increase access to affordable, quality assistive technologies worldwide.

Development using the Rapid Application Model of peTrace: Peter’s Poultry Supply Sales and Monitoring Management System

The poultry industry includes other support industries such as feed production and distribution, veterinary and poultry equipment production and distribution, meat and egg processing, marketing and distribution, and so on. Poultry production in the tropics. The poultry supply business is not prevalent in the province of Oriental Mindoro, that has a land area of 588,350 ha that supplies agriculture crops and livestock production, in addition to 286 registered business names, the plurality of which are linked to poultry supply. And one of the towns in Oriental Mindoro is recognized for producing agriculture and aquaculture. Rapid Application Method (RAD) is a software development methodology that emphasizes rapid prototyping through design. This type of testing modifies the software system before it is implemented. And Alpha testing was carried out by the Information Technology Practitioner. The system peTrace was ready for evaluation after several design and functionality issues were resolved. Purposive sampling was applied by the proponents this is to identify the 50 respondents so that the evaluators could have an accurate evaluation result. Information Technology Practitioners, store owners, staff, and clients were among those who responded. Owner, staff utilized the peTrace several times, testing its functionalities and verifying its usability. The proponents adapted the evaluation questionnaire using the ISO 25010 software quality criteria. To modify the five assessment criteria, ISO 25010 quality software standards were used. According to the assessment findings, peTrace is helpful and performs as predicted in terms of functional appropriateness (4.90), performance efficiency (4.85), usability (4.83), security (4.83), and maintainability (4.82). The peTrace system is broad in design, simple to maintain, and adaptable to any portable device independent of operating system, making it suited for any local Feed Store. For future growth, the assessors advise using real-time analysis. A good system will offer continuous monitoring with few, if any delays.

CONSIDERING CHANGE MANAGEMENT WHEN CONDUCTING HPT EVALUATION

This article describes how Human Performance Technology (HPT) practitioners can use HPT evaluation models to evaluate organizational change. Change management encompasses all the processes identified in the ISPI HPT model. Practitioners must conduct an effective change management implementation to be successful. However, many change management models do not describe how to evaluate a change implementation. This article identifies six HPT evaluation models and describes how practitioners can use these models to evaluate performance improvement and change management implementations simultaneously.

A pedogenically-informed chronostratigraphic model elucidates the geochronology at the type site of the Bohunician technocomplex

The Bohunician, a Moravian variant of the broader Initial Upper Palaeolithic (IUP) lithic technocomplex, is thought to have arisen during the transition from the Middle to the Upper Palaeolithic in the ‘contact zone’ between the first anatomically modern humans and local Neanderthals. Attempts to date the Bohunician occupation at the eponymous site of Brno-Bohunice using luminescence and radiocarbon methods have yielded contradictory results. We propose a new perspective of the chronological position and taphonomy of the Bohunician finds based on a revaluation of published radiometric and luminescence data from the Brno-Bohunice site according to an updated radiocarbon calibration curve and recently revised pedostratigraphy. Here, for the first time, we combined contradictionary results of various dating method into one chronostratigraphical model of the site. The Bayesian model considers the discovery that the palaeosol(s) contemporary to most of the artefacts is (are) missing and the actual position was affected by frost-heaving processes. The onset of the Bohunician technocomplex is therefore placed most probably as early as ∼50 ka cal BP (the end of GI 14) and shows that it existed mainly during the interstadials GI 13 and GI 12. Nevertheless, the broad timespan of unmodelled thermoluminescence dates indicates a possible persistence of the last practitioners of Bohunician technology until ∼42 ka cal BP (GI 11), when development of a Cambisol horizon took place. Our model has two possible explanations: The first wave of anatomically modern humans (with or without Neanderthal introgression) arrived in Central Europe before GI 12, or the Bohunician technocomplex is connected with the local Neanderthal population.

Rebuilding Stakeholder Confidence in Health-Relevant Big Data Applications: A Social Representations Perspective

Big data applications are at the epicentre of recent breakthroughs in digital health. However, controversies over privacy, security, ethics, accountability, and data governance have tarnished stakeholder trust, leaving health-relevant big data projects under threat, delayed, or abandoned. Taking the notion of big data as social construction, this work explores the social representations of the big data concept from the perspective of stakeholders in Kenya’s digital health environment. Through analysing the similarities and differences in the way health professionals and information technology (IT) practitioners comprehend the idea of big data, we draw strategic implications for restoring confidence in big data initiatives. Respondents associated big data with a multiplicity of concepts and were conflicted in how they represented big data’s benefits and challenges. On this point, we argue that peculiarities and nuances in how diverse players view big data contribute to the erosion of trust and the need to revamp stakeholder engagement practices. Specifically, decision makers should complement generalised informational campaigns with targeted, differentiated messages designed to address data responsibility, access, control, security, or other issues relevant to a specialised but influential community.

An NLP Approach for Extracting Practical Knowledge from a CMS-Based Community of Practice in E-Learning

This study aimed to identify the tacit or practical knowledge of an online community of practice (CoP) based on a content management system (CMS) technology. The E-Learning Industry site is one of the most prominent news outlets that provides instructional design and technology (IDT) practitioners with insights into the field. Natural language processing (NLP) techniques were implemented to extract practical knowledge of publicly available and not password-protected text sources in seven news categories. First, the findings suggest emphasizing the production of online articles related to the production of e-learning materials in technology-enabled environments. Second, the results indicate the alternative uses of learning management systems to manage different aspects of the production of e-learning materials. Third, the findings show that the CoP’s main priority was to reference existing materials in the community and external resources. The results of this study have implications and provide recommendations for researchers, community leaders, and practitioners toward improving knowledge discovery mechanisms, increasing transparency and integrity in communities, and increasing practitioners’ ability to self-assess existing practical knowledge against competencies in the field. The present study takes an inventory of the organizational knowledge capital and functions embedded in a CoP using a CMS platform as a delivery mechanism for creating and sharing knowledge.