This study evaluates the performance of OpenAI's o1-preview model in higher-order cognitive domains, including critical thinking, systematic thinking, computational thinking, data literacy, creative thinking, logical reasoning, and scientific reasoning. Using established benchmarks, we compared the o1-preview models's performance to human participants from diverse educational levels. o1-preview achieved a mean score of 24.33 on the Ennis-Weir Critical Thinking Essay Test (EWCTET), surpassing undergraduate (13.8) and postgraduate (18.39) participants (z = 1.60 and 0.90, respectively). In systematic thinking, it scored 46.1, SD = 4.12 on the Lake Urmia Vignette, significantly outperforming the human mean (20.08, SD = 8.13, z = 3.20). For data literacy, o1-preview scored 8.60, SD = 0.70 on Merk et al.'s "Use Data" dimension, compared to the human post-test mean of 4.17, SD = 2.02 (z = 2.19). On creative thinking tasks, the model achieved originality scores of 2.98, SD = 0.73, higher than the human mean of 1.74 (z = 0.71). In logical reasoning (LogiQA), it outperformed humans with average 90%, SD = 10% accuracy versus 86%, SD = 6.5% (z = 0.62). For scientific reasoning, it achieved near-perfect performance (mean = 0.99, SD = 0.12) on the TOSLS,, exceeding the highest human scores of 0.85, SD = 0.13 (z = 1.78). While o1-preview excelled in structured tasks, it showed limitations in problem-solving and adaptive reasoning. These results demonstrate the potential of AI to complement education in structured assessments but highlight the need for ethical oversight and refinement for broader applications.

Creativity involves not only generating new ideas from scratch but also redefining existing concepts and synthesizing previous insights. Among various techniques developed to foster creative thinking, brainstorming is widely used. With recent advancements in Large Language Models (LLMs), tools like ChatGPT have significantly impacted various fields by using prompts to facilitate complex tasks. While current research primarily focuses on generating accurate responses, there is a need to explore how prompt engineering can enhance creativity, particularly in brainstorming. Therefore, this study addresses this gap by proposing a framework called GPS, which employs goals, prompts, and strategies to guide designers to systematically work with an LLM tool for improving the creativity of ideas generated during brainstorming. Additionally, we adapted the Torrance Tests of Creative Thinking (TTCT) for measuring the creativity of the ideas generated by AI. Our framework, tested through a design example and a case study, demonstrates its effectiveness in stimulating creativity and its seamless LLM tool integration into design practices. The results indicate that our framework can benefit brainstorming sessions with LLM tools, enhancing both the creativity and usefulness of generated ideas.

This paper presents the design and initial assessment of a novel device that uses generative AI to facilitate creative ideation, inspiration, and reflective thought. Inspired by magnetic poetry, which was originally designed to help overcome writer's block, the device allows participants to compose short poetic texts from a limited vocabulary by physically placing words on the device's surface. Upon composing the text, the system employs a large language model (LLM) to generate a response, displayed on an e-ink screen. We explored various strategies for internally sequencing prompts to foster creative thinking, including analogy, allegorical interpretations, and ideation. We installed the device in our research laboratory for two weeks and held a focus group at the conclusion to evaluate the design. The design choice to limit interactions with the LLM to poetic text, coupled with the tactile experience of assembling the poem, fostered a deeper and more enjoyable engagement with the LLM compared to traditional chatbot or screen-based interactions. This approach gives users the opportunity to reflect on the AI-generated responses in a manner conducive to creative thought.

In all the frenzied discourse about large language models (LLMs) such as GPT-4 there is one point on which everyone seems to agree: these models are essentially stochastic parrots – namely, machines that are good at generating convincing sentences, but do not actually understand the meaning of the language they are processing. They have somehow "read" (that is, ingested) everything ever published in machine-readable form and create sentences word by word, at each point making a statistical guess of "what one might expect someone to write after seeing what people have written on billions of webpages, etc". Ever since ChatGPT arrived last November, people have been astonished by the capabilities of these parrots – how humanlike they seem to be and so on. But consolation was drawn initially from the thought that since the models were drawing only on what already resided in their capacious memories, then they couldn't be genuinely original: they would just regurgitate the conventional wisdom embedded in their training data. That comforting thought didn't last long, though, as experimenters kept finding startling and unpredictable behaviours of LLMs – facets now labelled "emergent abilities".

When faced with the rapid growth of AI technology in today's labor market, employers probably think of automated processes that make work easier, faster, and more efficient. On the other hand, employees probably fear losing their jobs and being replaced by a machine. While artificial intelligence is designed to replace manual labor with a more effective and quicker way of doing work, it cannot override the need for human input in the workspace. In this article, you will see why humans are still immensely valuable in the workplace and cannot be fully replaced by artificial intelligence. Emotional intelligence is one distinguishing factor that makes humans forever relevant in the workplace.

Human creativity is the elixir that's powered civilisations down the ages. It's brought us untold breakthroughs in all sectors of the economy, from agriculture to healthcare, energy to mobility. Our imagination continues to be our saviour as the world's ageing population faces tough socioeconomic and environmental challenges. Imagination entails creating mental models of things that don't yet exist. This kind of innovation brought us the printing press, the steam engine, the light bulb, the telephone, the aeroplane, the TV and the PC.

Technology has become dishy for the splendidness of its advancement and spellbinding charisma. All of us are certainly amazed when it comes to robots. The technical feasibilities of computer robots are mesmerizing. Still, this must be kept in mind that human is the begetter of a tech boot. A robot can replace humans in a workplace where programmed memory, ultrahigh-speed, rigorous accuracy, literal precision, and quick work service are required.

Children who learn computer science skills such as coding gain a multitude of benefits in other areas, including problem solving, creative thinking and mathematics, according to a new study by OKdo. For a new report titled Broader Benefits of Learning to Code, the global tech company gathered survey responses from almost 7,000 UK teachers and parents (with children aged 5-16), in which 96% of teachers claimed to have seen first-hand evidence of how computer science lessons can help to improve both hard and soft skills, as well as IT abilities, in children. Overall, eight in 10 (82%) of teachers said computer science education boosts pupils' problem solving capabilities. On top of this, two thirds (68%) agreed that it helps them develop expertise in mathematics, while six in 10 (60%) claimed that lessons in the subject also positively impacts creative thinking in young people. Over a third (35%) felt that teaching coding can boost children's organisational and time management skills, with 34% also feeling that participating in the subject can improve young people's ability to work as part of team.

Artificial Intelligence (AI) is a transformative technology. It may undoubtedly prove beneficial for the future but a complete AI takeover is also highly likely, if due measures aren't taken now. AI is creating fear and excitement by disrupting several industries. Technology taking over humans has always been a very common theme in science fiction movies for as long as we can remember. In the movie I, Robot starring Will Smith, for instance, it is portrayed that robots become intelligent enough to take over humans entirely.

Artificial intelligence has long been something that needs constant improving. Whether it's the games we played as a kid or our smartphone voice assistants. AI is basically used almost everywhere and machine learning is the next big thing to already happening! Years ago we referred to artificial intelligence or AI for short, as something that was smart. Truthfully, AI was initially just a set of instructions or code that would be used to guide game opponents or other somewhat aware objects.