Unlocking Proficiency: Experts’ Views on the Use of Generative AI DOI Creative Commons
Einat Grimberg, Claire Mason

Опубликована: Март 25, 2025

The rapid proliferation and adoption of generative Artificial Intelligence (GenAI) underscore its ease use. However, there has been limited research exploring what constitutes proficient use GenAI competencies underpin it. In this study, we used semi-structured interviews to explore how twenty-five expert users (all knowledge workers) define, exemplify explain proficiency. A purposive sampling approach was adopted with the aim capturing input from experts a range occupations sectors towards answering three questions. First, can identify characteristics that differentiate (more effective) GenAI? Second, are seen underlie Third, benefits associated more tools? Analysis descriptions shared by revealed four aspects proficiency: effective prompting, informed responsible choices, diversity complexity use, frequency addition, following themes emerged analysis supporting GenAI: literacy, domain expertise, communication skills, metacognition curiosity inquisitiveness, flexibility adaptability, diligence (in some contexts) information technology skills. More have ranging improved productivity, higher quality output original work. By offering comprehensive framework for GenAI, grounded in real world experience, study guides further substantiates continuing relevance human mindsets when working tools.

Язык: Английский

Building Proficiency in GAI: Key Competencies for Success DOI Creative Commons
Einat Grimberg, Claire Mason

Опубликована: Янв. 17, 2025

The rapid proliferation and adoption of generative Artificial Intelligence (GAI) underscores its ease use. However, there has been limited research exploring what constitutes proficient use GAI competencies underpin it. In this study, we adopt a grounded approach semi-structured interviews to explore how twenty-five expert users (all knowledge workers) define, exemplify, explain proficiency. A purposive sampling was adopted with the aim capturing input from experts range occupations sectors towards answering three questions. First, can identify characteristics that differentiate (more effective) GAI? Second, are seen underlie Third, benefits associated more tools? Analysis descriptions shared by revealed four aspects proficiency: effective prompting, informed responsible choices, diversity use, complexity frequency addition, following themes emerged analysis supporting GAI: literacy, domain expertise, communication skills, metacognition curiosity inquisitiveness, flexibility adaptability, diligence, (in some contexts) information technology skills. More have ranging improved productivity, higher quality output, original work. By offering comprehensive framework for GAI, in real-world experience, study guides further substantiates continuing relevance human knowledge, mindsets when working tools.

Язык: Английский

Процитировано

0
Reinventing instructional laboratory with ChatGPT: Radiation measurement by smartphone DOI
Chitnarong Sirisathitkul, Yaowarat Sirisathitkul

Innovations in Education and Teaching International, Год журнала: 2025, Номер unknown, С. 1 - 16

Опубликована: Фев. 14, 2025

Язык: Английский

Процитировано

0
Impacts of generative artificial intelligence on the future of labor market: a systematic review DOI Creative Commons
Nader Salari,

Mahan Beiromvand,

Amin Hosseinian‐Far

и другие.

Computers in Human Behavior Reports, Год журнала: 2025, Номер unknown, С. 100652 - 100652

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0
Leveraging Large Language Models for Usability Testing: a Preliminary Study DOI
Miriana Calvano, Antonio Curci, Rosa Lanzilotti

и другие.

Опубликована: Март 18, 2025

Язык: Английский

Процитировано

0
Unlocking Proficiency: Experts’ Views on the Use of Generative AI DOI Creative Commons
Einat Grimberg, Claire Mason

Опубликована: Март 25, 2025

The rapid proliferation and adoption of generative Artificial Intelligence (GenAI) underscore its ease use. However, there has been limited research exploring what constitutes proficient use GenAI competencies underpin it. In this study, we used semi-structured interviews to explore how twenty-five expert users (all knowledge workers) define, exemplify explain proficiency. A purposive sampling approach was adopted with the aim capturing input from experts a range occupations sectors towards answering three questions. First, can identify characteristics that differentiate (more effective) GenAI? Second, are seen underlie Third, benefits associated more tools? Analysis descriptions shared by revealed four aspects proficiency: effective prompting, informed responsible choices, diversity complexity use, frequency addition, following themes emerged analysis supporting GenAI: literacy, domain expertise, communication skills, metacognition curiosity inquisitiveness, flexibility adaptability, diligence (in some contexts) information technology skills. More have ranging improved productivity, higher quality output original work. By offering comprehensive framework for GenAI, grounded in real world experience, study guides further substantiates continuing relevance human mindsets when working tools.

Язык: Английский

Процитировано

0