Journal of Digital Learning in Teacher Education, Journal Year: 2025, Volume and Issue: 41(1), P. 37 - 56
Published: Jan. 2, 2025
Language: Английский
Computers and Education Artificial Intelligence, Journal Year: 2023, Volume and Issue: 5, P. 100165 - 100165
Published: Jan. 1, 2023
Artificial Intelligence (AI) strongly influences our daily lives and work environments. To deal with the challenges as well to pick up on opportunities associated AI, university students need acquire a basic understanding of AI (so-called literacy). design effective study programs that foster competencies, it is necessary assess state students' literacy. While there already are some literacy tests available, many instruments focus specific courses, rely primarily self-assessment, or do not provide detailed psychometric information. This aims develop validate an test initial insights into current among German students. We present validated multiple-choice in higher education. The results suggest significant variance students, most showing fundamental AI. technical background prior experience imply for courses broader audience who use their will tools future careers. Furthermore, educators should consider knowledge when designing courses.
Language: Английский
Citations
77
Computers in Human Behavior Reports, Journal Year: 2023, Volume and Issue: 12, P. 100338 - 100338
Published: Sept. 28, 2023
Artificial Intelligence competencies will become increasingly important in the near future. Therefore, it is essential that AI literacy of individuals can be assessed a valid and reliable way. This study presents development "Scale for assessment non-experts' literacy" (SNAIL). An existing item set was distributed as an online questionnaire to heterogeneous group non-experts (i.e., without formal or computer science education). Based on data collected, exploratory factor analysis conducted investigate underlying latent structure. The results indicated three-factor model had best fit. individual factors reflected areas "Technical Understanding", "Critical Appraisal", "Practical Application". In addition, eight items from original were deleted based high intercorrelations low communalities reduce length questionnaire. final SNAIL-questionnaire consists 31 used assess specific groups also designed enable evaluation courses' teaching effectiveness.
Language: Английский
Citations
53
International Journal of Human-Computer Interaction, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 23
Published: July 29, 2024
Generative artificial intelligence (GAI) advancements have ignited new expectations for (AI)-enabled educational transformations. Based on the theory of planned behavior (TPB), this study combines structural equation modeling and interviews to analyze influencing factors Chinese university students' GAI technology usage intention. Regarding AI literacy, cognitive literacy in ethics scored highest (M = 5.740), while awareness lowest 4.578). Students' attitudes toward significantly positively influenced their intention, with combined TPB framework explaining 59.3% variance. subjective norms perceived behavioral control, attitude mediated impact Further, provide insights management leadership regarding construction an ecosystem under application technology.
Language: Английский
Citations
40
Computers and Education Open, Journal Year: 2024, Volume and Issue: 6, P. 100179 - 100179
Published: April 10, 2024
In the context of global integration and increasing reliance on Artificial Intelligence (AI) in education, evaluating AI literacy pre-service teachers is crucial. As future architects educational systems, must not only possess pedagogical expertise but also a strong foundation literacy. This quantitative study examines among 529 Nigerian university, utilizing structural equation modeling (SEM) for comprehensive analysis. The research explores various dimensions literacy, revealing that profound understanding significantly predicts positive outcomes use, detection, ethics, creation, problem-solving. However, no correlation exists between knowledge emotion regulation or assumption active use enhances detection capabilities. identifies trade-off application emphasizing ethical considerations intertwined with emotional persuasive facets use. It supports link creation problem-solving, foundational role shaping diverse aspects teachers. findings offer valuable insights educators, administrators, policymakers, researchers aiming to enhance teacher education programs.
Language: Английский
Citations
37
Computers and Education Open, Journal Year: 2024, Volume and Issue: 6, P. 100173 - 100173
Published: March 31, 2024
The explosion of AI across all facets society has given rise to the need for education domains and levels. literacy become an important concept in current technological landscape, emphasizing individuals acquire necessary knowledge skills engage with systems. This systematic review examined 47 articles published between 2019 2023, focusing on recent work capture new insights initiatives burgeoning literature this topic. In initial stage, we explored dataset identify themes covered by selected papers target population efforts. We identified that broadly contributed one following themes: a) conceptualizing literacy, b) prompting efforts, c) developing assessment instruments. also found a range populations, from pre-K students adults workforce, were targeted. second conducted thorough content analysis synthesize six key constructs literacy: Recognize, Know Understand, Use Apply, Evaluate, Create, Navigate Ethically. then applied framework categorize empirical studies prevalence each construct studies. subsequently instruments developed discuss them. findings are relevant formal workforce preparation advancement, empowering leverage drive innovation.
Language: Английский
Citations
27
Computers and Education Open, Journal Year: 2024, Volume and Issue: 6, P. 100177 - 100177
Published: April 10, 2024
Motivated by a holistic understanding of AI literacy, this work presents an interdisciplinary effort to make literacy measurable in comprehensive way, considering generic and domain-specific as well ethics. While many assessment tools have been developed the last 2-3 years, mostly form self-assessment scales less frequently knowledge-based assessments, previous approaches only accounted for one specific area competence, namely cognitive aspects within literacy. Considering demand development different professional domains reflecting on concept competence way that goes beyond mere conceptual knowledge, there is urgent need methods capture each three dimensions cognition, behavior, attitude. In addition, competencies ethics are becoming more apparent, which further calls very matter. This paper aims provide foundation upon future instruments can be built provides insights into what framework item might look like addresses both measures than just knowledge-related based approach.
Language: Английский
Citations
19
Information, Journal Year: 2024, Volume and Issue: 15(4), P. 205 - 205
Published: April 5, 2024
The growing impact of artificial intelligence (AI) on Humanity is unavoidable, and therefore, “AI literacy” extremely important. In the field education—AI in education (AIED)—this technology having a huge educational community system itself. present study seeks to assess level AI literacy knowledge among teachers at Portalegre Polytechnic University (PPU), aiming identify gaps, find main opportunities for innovation development, seek degree relationship between dimensions an questionnaire, as well identifying predictive variables this matter. As measuring instrument, validated questionnaire based three (AI Literacy, Self-Efficacy, Self-Management) was applied sample 75 various schools PPU. This revealed average (3.28), highlighting that 62.4% responses are levels 3 4 (based Likert scale from 1 5). results also demonstrate first dimension highly significant total dimensions, i.e., no factor characterizing predictor, but finding below-average result learning indicates pressing need focus developing these skills.
Language: Английский
Citations
16
British Journal of Educational Technology, Journal Year: 2023, Volume and Issue: 55(3), P. 1082 - 1104
Published: Dec. 13, 2023
Artificial intelligence (AI) literacy is at the top of agenda for education today in developing learners' AI knowledge, skills, attitudes and values 21st century. However, there are few validated research instruments educators to examine how secondary students develop perceive their learning outcomes. After reviewing literature on questionnaires, we categorized identified competencies four dimensions: (1) affective (intrinsic motivation self‐efficacy/confidence), (2) behavioural (behavioural commitment collaboration), (3) cognitive (know understand; apply, evaluate create) (4) ethical learning. Then, a 32‐item self‐reported questionnaire (AILQ) was developed measure students' development dimensions. The design validation AILQ were examined through theoretical review, expert judgement, interview, pilot study first‐ second‐order confirmatory factor analysis. This article reports findings using preliminary version among 363 school Hong Kong analyse psychometric properties instrument. Results indicated four‐factor structure revealed good reliability validity. recommended as reliable measurement scale assessing foster inform better instructional based proposed affective, behavioural, (ABCE) framework. Practitioner notes What already known about this topic has drawn increasing attention recent years been an important digital literacy. Schools universities around world started incorporate into curriculum young Some studies have worked suitable tools, especially outcomes programmes. paper adds Develops terms Proposes parsimonious model ABCE framework addresses skill set Implications practice and/or policy Researchers able use guide Practitioners assess development.
Language: Английский
Citations
40
Published: May 11, 2024
Heightened AI expectations facilitate performance in human-AI interactions through placebo effects. While lowering to control for effects is advisable, overly negative could induce nocebo In a letter discrimination task, we informed participants that an would either increase or decrease their by adapting the interface, when reality, no was present any condition. A Bayesian analysis showed had high and performed descriptively better irrespective of description sham-AI present. Using cognitive modeling, trace this advantage back gathering more information. replication study verified descriptions do not alter expectations, suggesting with are biased robust verbal descriptions. We discuss impact user on evaluation.
Language: Английский
Citations
15
Computers and Education Open, Journal Year: 2024, Volume and Issue: 6, P. 100176 - 100176
Published: April 4, 2024
Intelligent voice assistants (IVAs) such as Alexa or Siri are voice-based Artificial Intelligence systems that help users with various everyday tasks using simple commands. However, often only have a superficial understanding of how the (AI) integrated into IVAs works, which leads to misunderstandings and potential risks use. To promote self-determined interaction IVAs, development specific AI-related skills, comprehensive AI, is crucial. Based on learning psychology media pedagogy principles, two online training modules were developed deepen AI concerning enable interaction. A total 99 participants took part in training. The results show promotes both literacy. It also increases intention use positive attitude, enhances willingness for In addition, contributes more realistic assessment IVAs' capabilities reduces anthropomorphic perceptions. Overall, study emphasizes relevance skills shows targeted can contribute improving these skills. Thus, present work availability digital education programs.
Language: Английский
Citations
10