Documents found
-
3541.More information
Many post-secondary institutions are developing policies and programs aimed at improving responses to sexual assault experienced by students. In some areas, such as Ontario, Canada, the government has mandated post-secondary institutions to do so. However significant these initiatives, they are predicated on the assumption that students trust, and want to engage with, the university following sexual violence. This study explores students’ perceptions of sexual assault policies and services on one mid-size university campus focusing specifically on how trust factors into reporting sexual victimization and using services. Findings show that students believe that sexual assault policies and programs exist, but this does not meanstudents are willing to use such resources or that they even trust that their university has students’ needs and interests at the fore. This paper discusses policy and programmatic considerations for building student trust in their post-secondary institutions to encourage student use of campus support.
-
3542.More information
In education, the integration of artificial intelligence (AI) has presented opportunities to transform the dynamics of online learning. This study investigated the impact of an AI-powered application, namely ChatGPT, on the autonomy of Saudi Arabian primary students participating in online classes. It also explored how the implementation of Chat GPT influenced Saudi Arabian primary students’ autonomy. In this mixed-methods study, a quasi-experimental design assessed the impact of ChatGPT on learner autonomy among 250 Saudi Arabian primary students from six primary schools in Riyadh, Saudi Arabia. The quantitative analysis employed descriptive statistics and t-tests, while the qualitative data underwent interpretative phenomenological analysis. To ensure coding reliability, 20% of the codes were independently reviewed by an external coder, with a 94% inter-coder agreement coefficient reached through consensus. Findings revealed that ChatGPT significantly affected the participants’ perceptions of autonomy and its different dimensions. Qualitative data showed that AI-powered applications contributed to the students’ autonomy in 10 different ways. Participants also mentioned that AI-powered apps might have some negative consequences. This study has theoretical implications for redefining learner autonomy in the digital age and calls for the exploration of many facets of autonomy. Practical applications from this study include strategic integration of AI into online education, data security, and the need for orientation programs.
Keywords: AI-powered applications, ChatGPT, students' autonomy, online classes, students' perceptions
-
3543.More information
The transformative impact of advancements in educational technology, particularly those powered by artificial intelligence (AI), on the landscape of education and the teaching profession has been substantial. This study explores the repercussions of AI-powered technologies on teachers’ autonomous behavior, digital burnout, and professional development. The study involved a cohort of 320 high school teachers in China segregated into control and experimental groups. The experimental group received instructions on AI-integrated applications and how they might be used in education. However, the teachers assigned to the control group did not receive information on the use of AI educational applications. Three distinct questionnaires probing autonomous behaviors, digital burnout, and online professional development were administered, and the ensuing data were analyzed using independent sample t-tests. The findings elucidate a discernible positive impact of AI-integrated technology intervention on teachers’ professional development and autonomous behaviors. The incorporation of AI-enhanced tools facilitated an augmentation in teachers’ professional growth and bolstered their independent and self-directed instructional practices. Notably, using AI-integrated technology significantly reduced teachers’ susceptibility to digital burnout, signifying a potential alleviation of stressors associated with technology-mediated teaching. This research provides valuable insights into the multifaceted effects of AI-powered technologies on educators, shedding light on enhancing professional competencies and mitigating digital burnout. The implications extend beyond the confines of this study, resonating with the broader discourse on leveraging technology to augment the teaching profession and optimize the learning environment.
Keywords: artificial intelligence, AI, AI applications, teacher autonomy, online professional development, digital burnout
-
3544.More information
This study proposes a hypothetical model combining the unified theory of acceptance and use of technology (UTAUT) with self-determination theory (SDT) to explore design professionals’ behavioral intentions to use artificial intelligence (AI) tools. Moreover, it incorporates job replacement (JR) as a moderating role. Chinese-speaking design professionals in regions influenced by Confucian culture were surveyed. An analysis of 565 valid cases with AMOS (Analysis of Moment Structures) supported the structural model hypothesis. The model explains 52.1% of the variance in behavioral intention to use (BIU), proving its effectiveness in explaining these variances. The results further validate the importance of performance expectancy (PE) over effort expectancy (EE) in influencing BIU. Additionally, it has been shown that the impact on intrinsic motivation (IM) and extrinsic motivation (EM) can be either amplified or diminished by anxiety about JR. For individuals experiencing higher levels of JR anxiety, there is a marked increase in IM. They may perceive adopting AI tools as an opportunity to enhance their skills and job security. Conversely, this anxiety also significantly boosts EM, as the potential for improved efficiency and productivity with AI use becomes a compelling incentive. These findings suggest new paths for academic researchers to explore the psychological impacts of AI on design professionals’ roles. For practitioners, especially in human resources and organizational development, understanding these dynamics can guide the creation of training programs that address job replacement anxiety.
Keywords: unified theory of acceptance and use of technology, UTAUT, self-determination theory, generative artificial intelligence, GenAI, job replacement, performance expectancy
-
3545.More information
Artificial intelligence (AI) revolutionizes education by fundamentally altering the methods of teaching and processes of learning. Given such circumstances, it is essential to take into account the mental and psychological well-being of teachers as the architects of education. This research investigated the links between teacher immunity (TI), work passion (WP), job satisfaction (JS), occupational well-being (OW-B) and psychological well-being (PW-B) in the context of AI-assisted language learning. In order to achieve this objective, 392 Iranian teachers of English as a foreign language (EFL) were given the Language Teacher Immunity Instrument, the Work Passion Scale, the Job Satisfaction Questionnaire, the Occupational Well-Being Scale, and the Psychological Well-Being at Work Scale. By using confirmatory factor analysis and structural equation modeling, the study identified and quantified the impacts of TI, WP, JS, OW-B, and PW-B via data screening. The findings emphasize the crucial role that TI and WP play in providing a balance in teachers’ JS, OW-B, and PW-B while applying AI in their language instruction. The broad ramifications of this research are explored.
Keywords: AI-assisted language teaching, teacher productive immunity, work passion, job satisfaction, occupational success, psychological well-being, EFL teacher
-
3546.More information
While research has been done to identify the potential implications of biometric technology on marginalized populations’ privacy and autonomy, this paper contributes to existing research by examining these technologies in healthcare settings. Drawing from insights across surveillance studies, rhetoric of health and medicine, and technical communication, we identify how one leading healthcare institution in New York City has employed rhetorics of efficiency, effectiveness, safety, and security regarding its biometric technology system. This employment of biometric technologies often contributes to patients’ marginalization and dismissal. As we explore, interrogating the language used by the healthcare institution to describe biometrics opens opportunities for us—surveillance studies scholars, patients, allies, students, and more—to ensure that innovations within the healthcare system promote equity, agency, and improved outcomes for all.
Keywords: biometric technologies, patient advocacy, informed consent, privacy, health communication
-
3547.More information
Teaching for social justice is an explicit goal of most teacher education programs. However, this mandate has been criticized by scholars who claim that social justice is an undertheorized and vague concept that is often disconnected from methods courses that focus on content-specific pedagogies. This study seeks to address this disconnect by exploring how an Equity Literature Circles (ELC) framework within a literacy methods course can enhance teacher candidates’ (TCs’) understanding of the relationship between literacy instruction, diversity, and social justice. Drawing on the perceptions of ten TCs enrolled in a teacher education program in western Canada, data for the study was generated from classroom artifacts, an individual survey, and a focus group interview. Upon analysis of the data, the findings suggest that an ELC framework is an effective instructional strategy for enhancing TCs’ understanding of intersecting aspects of diversity, equity-focused literacy instruction, and teaching about and for social justice.
Keywords: Equity Literature Circles, Literacy as Social Practices, social justice education, intersectionality, Diversity, young adult novel, Critical Literacy/Pedagogy, language arts classroom, preservice teacher education
-
3548.More information
Although technology-enhanced learning has exploded, limited research has examined English language learners’ (ELLs) experiences and perceptions of independent online content-based second language learning. To fill this gap, an innovative web application was designed to improve ELLs’ grade 10 science content and English language learning. Fifty-six high school ELLs independently completed 30 online modules and then responded to a 12-item questionnaire about the web application, the module content, and their learning. An applied thematic analysis of their responses revealed several benefits and a few challenges that provide insights for the development and improvement of independent online content-based learning for high school ELLs.
Keywords: content-based language learning, independent online learning, digital literacy, self-regulation
-
3549.More information
Reading and writing are core components of what it means to be a doctoral student. Although reading and writing are known to be discursive, socialized practices, doctoral programs often focus on the output of these practices and position reading and writing as generic, universal skills. Through collaborative self-study, we sought to examine our reading and writing processes and see what we could learn as doctoral students by making these processes visible. From our analysis, we discovered that understanding our reading and writing processes enabled us to use effective reading and writing strategies; revealed the benefits of blurring personal-professional boundaries; and contributed to shaping our identity as emerging scholars. We conclude that supporting doctoral students to examine their personalized reading and writing processes, opposed to solely focusing on output, can support them to look inward, locate meaning within themselves, and recognize the multiplicity in what it means to read and write at the doctoral level.
Keywords: doctoral writing, doctoral reading, academic writing, doctoral student identity
-
3550.More information
Academic integrity is a crucial aspect of higher education that fosters intellectual honesty and upholds the principles of fairness and trustworthiness (Stoez & Eaton, 2020; Kang, 2022; Eaton, 2022). As the introduction and integration of artificial intelligence (AI) technologies becomes increasingly prevalent in educational settings, it is imperative to examine how Canadian universities are addressing the implications of AI on academic integrity (Eaton, 2022; UNESCO, 2023). This study aimed to examine the existing AI guidelines and policies developed and implemented by Canadian universities and analyze their alignments and gaps in relation to their academic integrity policies, particularly in the domain of academic writing in Canadian higher education contexts. In this research study, sixteen Canadian universities were selected for document analysis, and through an examination of their existing polices and guidelines on AI, results revealed insights into both challenges and opportunities for faculty, students and stakeholders around teaching academic writing while upholding academic integrity in higher education.
Keywords: academic integrity, artificial intelligence (AI), ChatGPT, higher education, academic writing