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  • George Siemens

Bibliografía: George Siemens

Nº de publicaciones: 5
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Empowering learners for the age of artificial intelligence
Dragan Gaševiฤ‡, George Siemens, Shazia Sadiq (2023)
Computers & Education: Artificial Intelligence
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Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial

Resumen:

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Although studied for decades by the research community, artificial intelligence (AI) in education has recently sparked much public debate with the wide-spread popularity of systems such as ChatGPT and DALL-E. Existing literature offers a wealth of research on design, deploying and evaluating AI-driven systems in education. However, the challenges related to the growing influence of AI in the society, calls for revisiting research foundations of AI in education in order to inform decision-making in policy and guide future research. This special issue of Computers & Education: Artificial Intelligence brings 11 papers that explore the theme of empowering learners for the age of AI...

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Opportunities of artificial intelligence for supporting complex problem-solving: Findings from a scoping review
Srecko Joksimovic, Dirk Ifenthaler, Rebecca Marrone (2023)
Computers & Education: Artificial Intelligence
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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

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The research objective of this paper is to advance knowledge about the role of artificial intelligence (AI) in complex problem-solving. A problem is complex due to the large number of highly inter-connected variables affecting the problem state. Complex problem-solving situations often change decremental or worsen, forcing a problem solver to act immediately, under considerable time pressure. While research findings support the assumption that (1) affective, (2) (meta-)cognitive, and (3) social processes support complex problem-solving, opportunities of AI for supporting complex problem-solving need to be further investigated. This article presents a scoping review of relevant...

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Transitions through lifelong learning: Implications for learning analytics
Oleksandra Poquet, Kirsty Kitto, Jelena Jovanovic (2021)
Computers & Education: Artificial Intelligence
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Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial

Resumen:

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The ability to develop new skills and competencies is a central concept of lifelong learning. Research to date has largely focused on the processes and support individuals require to engage in upskilling, re-learning or training. However, there has been limited attention examining the types of support that are necessary to assist a learner's transition from “old” workplace contexts to “new”. Professionals often undergo significant restructuring of their knowledge, skills, and identities as they transition between career roles, industries, and sectors. Domains such as learning analytics (LA) have the potential to support learners as they use the analysis of fine-grained data collected from...

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Rethinking the entwinement between artificial intelligence and human learning: What capabilities do learners need for a world with AI?
Lina Markauskaite, Rebecca Marrone, Oleksandra Poquet (2022)
Computers & Education: Artificial Intelligence
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Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial

Resumen:

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The proliferation of AI in many aspects of human life—from personal leisure, to collaborative professional work, to global policy decisions—poses a sharp question about how to prepare people for an interconnected, fast-changing world which is increasingly becoming saturated with technological devices and agentic machines. What kinds of capabilities do people need in a world infused with AI? How can we conceptualise these capabilities? How can we help learners develop them? How can we empirically study and assess their development? With this paper, we open the discussion by adopting a dialogical knowledge-making approach. Our team of 11 co-authors participated in an orchestrated written...

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Human and artificial cognition
George Siemens, Fernando Marmolejo-Ramos, Florence Gabriel (2022)
Computers & Education: Artificial Intelligence
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Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial

Resumen:

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Predictions of the timelines for when machines will be able to perform general cognitive activities that rival humans, or even the arrival of “super intelligence”, range from years to decades to never. For researchers in the education sector, the potential future state of AI, while provocative, is secondary to important shorter-term questions that influence how AI is integrated into learning and knowledge practices such as sensemaking and decision making. AI is not a future technology. It is already present in our daily lives, often shaping, behind the scenes, the types of information we encounter. It is, therefore, important to consider immediate questions surrounding the dynamics of human...

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