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Dimensions of Strategic Disruption
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Literature Understanding
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business
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the function of AG and middle inferior temporal lobe in semantic memory
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Literature Understanding
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neuroscience
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Cand you find papers about how to use AI for educationnal purpose
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Paper Finding
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education
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How is transcriptional regulations in polyploid cells different from the one in diploid cells?
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Literature Understanding
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biology
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what domain-specific performance metrics exit for deep learning classification of high-resolution histopathology images
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Literature Understanding
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computer science
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What is the relationship between DFT calculation and molecular dynamics?
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Literature Understanding
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chemistry
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Write an article on the Definition and Fundamental Principles of Networking"
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Literature Understanding
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computer science
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Have attractor networks been applied to semantic segmentation?
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Literature Understanding
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computer science
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Proposal: The Use of Artificial Intelligence (AI) in Higher Education
Executive Summary:
This proposal explores the transformative potential of Artificial Intelligence (AI) in higher education, with a focus on enhancing learning outcomes, optimizing administrative functions, and improving research capabilities. AI offers personalized learning experiences, automated administrative support, data-driven decision-making, and enhanced research processes, all of which can lead to more efficient, effective, and inclusive educational environments. This proposal outlines the various areas where AI can be applied in higher education, the benefits of adoption, and the steps necessary for successful integration into universities and colleges globally.
________________________________________
Introduction
As the world increasingly turns toward digital transformation, higher education faces the challenge of staying relevant, effective, and efficient in an ever-changing landscape. Artificial Intelligence (AI) presents a significant opportunity to address these challenges by streamlining operations, improving student learning experiences, and enhancing the research output of academic institutions. From personalized learning tools to advanced data analytics, AI is reshaping the way education is delivered and managed.
The aim of this proposal is to present a strategic framework for the integration of AI in higher education institutions. The key areas of focus will include personalized learning, administrative automation, data analytics, and research support. We will also explore the challenges associated with the adoption of AI and provide recommendations on how institutions can overcome these barriers.
Areas of Application for AI in Higher Education
1. Personalized Learning: AI can significantly enhance the learning experience by creating adaptive learning systems that cater to the unique needs and learning styles of individual students. Machine learning algorithms can track a student’s progress, identify areas of difficulty, and suggest targeted learning materials to address knowledge gaps. AI-powered tools, such as intelligent tutoring systems, can provide real-time feedback and recommendations, making education more personalized, interactive, and engaging (Baker et al., 2019).
o Example: Platforms like Coursera and Khan Academy use AI to recommend courses based on learners’ past activities and preferences.
2. Automated Administrative Tasks: AI can automate numerous administrative tasks, such as grading, scheduling, and attendance tracking. Chatbots powered by natural language processing (NLP) can handle common student inquiries, reducing the workload of faculty and staff and providing students with immediate responses (Heffernan & Heffernan, 2014). Additionally, AI can help manage resources, optimize course scheduling, and handle student enrollment processes.
o Example: AI-driven platforms like Gradescope and Turnitin automate grading and plagiarism detection, saving faculty time and ensuring a more consistent evaluation process.
3. Data-Driven Decision Making: AI can be leveraged to analyze large datasets collected from student interactions, learning progress, and institutional operations. These insights can help universities make informed decisions about curriculum design, resource allocation, and student support services. Predictive analytics, for instance, can identify students at risk of falling behind and recommend interventions to improve retention rates (Siemens, 2013).
o Example: Institutions like Georgia State University have used AI to predict student dropout risk and improve retention by offering targeted interventions (Binns, 2020).
4. Enhancing Research: AI can assist researchers by automating literature reviews, analyzing large datasets, and identifying patterns or trends that might be overlooked manually. Machine learning algorithms can also expedite data analysis, offering researchers valuable insights in a fraction of the time. AI can thus speed up the research process, allowing academic institutions to maintain their competitive edge in global research rankings (Madhusudhan & Kaur, 2017).
o Example: AI tools like IBM Watson are being used in health research to analyze patient data and suggest new lines of inquiry.
5. AI in Assessments: AI can also transform assessment practices in higher education. Traditional methods like multiple-choice tests are limited in their ability to assess complex skills. AI systems can evaluate essays, projects, and even oral presentations. By leveraging advanced AI tools such as machine learning and NLP, educational institutions can offer more accurate, personalized, and timely feedback to students (Czerkawski & Lyman, 2016).
Benefits of AI in Higher Education
1. Improved Learning Outcomes: AI-driven personalized learning tools ensure that students receive targeted support, leading to improved comprehension, retention, and academic performance. By adapting to each student’s learning style and pace, AI creates a more effective learning environment.
2. Operational Efficiency: Automating administrative processes such as grading, student inquiries, and scheduling reduces the time spent on routine tasks, allowing educators and staff to focus on more value-added activities. AI can optimize resources, reduce costs, and improve the overall efficiency of higher education institutions.
3. Better Research Capabilities: By enhancing the speed and accuracy of data analysis, AI accelerates academic research. Institutions can use AI tools to identify new research trends, improve experimental designs, and manage data more effectively, resulting in a more dynamic and productive research environment.
4. Inclusive Education: AI can support students with diverse needs, including those with disabilities, by providing tailored learning experiences. For example, AI can offer real-time transcription for students with hearing impairments or provide personalized feedback for students with learning disabilities (Holmes et al., 2019).
Challenges of AI Integration in Higher Education
1. Data Privacy and Security: AI in education requires access to large amounts of student data, which raises concerns about data privacy and security. Institutions must comply with data protection regulations such as GDPR (General Data Protection Regulation) in the EU or FERPA (Family Educational Rights and Privacy Act) in the U.S., ensuring that student data is protected against misuse and breaches.
2. Digital Divide: The implementation of AI in higher education may exacerbate inequalities between institutions with varying levels of access to technology and infrastructure. Ensuring equitable access to AI-driven educational tools is crucial to avoid widening the digital divide.
3. Faculty Resistance and Training: Faculty may resist the adoption of AI due to concerns about job displacement or a lack of familiarity with the technology. Comprehensive training programs and clear communication about the role of AI as a supportive tool (rather than a replacement) are essential for successful integration.
4. Ethical Considerations: AI systems must be transparent and free from biases. AI algorithms used for assessments or admissions must be designed to avoid perpetuating racial, gender, or socio-economic biases, which can harm disadvantaged groups.
Implementation Strategy
1. Pilot Projects: Start with pilot programs in select departments or courses to test AI tools and evaluate their effectiveness. Gathering feedback from students and faculty during the pilot phase will allow for refinement and expansion.
2. Collaborations with Tech Partners: Universities should partner with tech companies and AI experts to develop customized AI solutions that meet the specific needs of their institution. Collaboration with AI developers can ensure that systems are user-friendly, secure, and ethically sound.
3. Faculty Development and Training: Establish faculty development programs to familiarize instructors with AI tools and demonstrate how these technologies can enhance their teaching. Providing ongoing support and professional development will help ease the transition to AI-powered education.
4. Ethical Frameworks: Develop an institutional ethical framework to guide the use of AI in education. This should address data privacy, algorithmic transparency, and fairness in AI-driven assessments and decision-making.
5. Infrastructure Investments: Institutions should invest in the technological infrastructure required to support AI tools, such as reliable internet, cloud-based platforms, and data storage systems. Access to these resources is essential for AI adoption and effective use.
Conclusion
The integration of Artificial Intelligence in higher education offers an exciting opportunity to improve teaching, learning, research, and administration. By implementing AI tools thoughtfully and strategically, universities can provide personalized education, streamline operations, enhance research output, and create a more inclusive learning environment. However, addressing challenges related to data privacy, equity, and faculty buy-in will be essential for successful AI adoption. Through careful planning, collaboration, and investment, AI can revolutionize the landscape of higher education, leading to better outcomes for students, faculty, and institutions alike.
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Other
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education
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the person’s own assessment
|
Literature Understanding
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psychology
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Advantage DSDM of software development
|
Literature Understanding
|
computer science
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Find survey papers on function calling.
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Paper Finding
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computer science
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Docile bodies link with posthumanism
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Literature Understanding
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social sciences
|
Success rate for each type of satellite mission
|
Literature Understanding
|
engineering
|
Study an algorithm on Railway Track Substructure Stiffness Modulus Analysis North America
|
Literature Understanding
|
engineering
|
what is the lion and sun flag
|
Literature Understanding
|
social sciences
|
Despite the high nutritional value of soy, only about 6 % of global soybean production is used directly for human consumption
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Other
|
agriculture
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Are there any studies that have developed systems for generating questions to support the development of conversational dialogue systems?
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Paper Finding
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computer science
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how to prevent pathologic myopiia
|
Literature Understanding
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medicine
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ionic liquids for electrochemitry
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Literature Understanding
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chemistry
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LEO vs MEO , starlink ,iridium
|
Literature Understanding
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engineering
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I would like to know what research has been done on the importance of personalized experimental design in complex disease research
|
Literature Understanding
|
medicine
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Are we evaluating or benchmarking AI models in a standardized way?
|
Literature Understanding
|
computer science
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Research prove large language model already possess strong ability on summarization and sentimental analysis
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Literature Understanding
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computer science
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Much improved backbone compared to yolov5
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Literature Understanding
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computer science
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Artificial Intelligence in Urinalysis
|
Literature Understanding
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medicine
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Classification of 3D target detection in computer vision
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Literature Understanding
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computer science
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What is hard negative sampling
|
Literature Understanding
|
computer science
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social media post length and suicide
|
Literature Understanding
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psychology
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how does poor time management lead to absenteeism
|
Literature Understanding
|
psychology
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A Confirmatory Study on the Role of Technology Infrastructure in Shaping Behavioral Intention toward Mobile Learning Platforms
|
Paper Understanding
|
education
|
What are the psychological effects in gait analysis?
|
Literature Understanding
|
psychology
|
What is the relationship between the grain size, secondary dendrite spacing of aluminum alloy and mechanical properties?
|
Literature Understanding
|
engineering
|
What research exists on automatically generating background music (BGM) that matches the scenes and emotions portrayed in theatrical videos, and how far has this field progressed?
|
Literature Understanding
|
computer science
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a protocol which separates single connection into several sub-connections.
|
Literature Understanding
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computer science
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gray level co-occurrence matrix
|
Literature Understanding
|
computer science
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Any prior work on improving memory bound neural network training?
|
Literature Understanding
|
computer science
|
what are the most importance qualities needed to perform good quality feature engineering
|
Literature Understanding
|
computer science
|
how is the cellular structure of the cortex
|
Literature Understanding
|
neuroscience
|
Method for Analyzing Swallowing Videofluoroscopy with AI
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Paper Finding
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medicine
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divergent and convergent thinking could be recursive process.
|
Ideation
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psychology
|
Critical Thinking of Undergraduate Students
|
Literature Understanding
|
education
|
How can AI systems autonomously generate novel and testable scientific hypotheses?
|
Literature Understanding
|
computer science
|
questionnaire assessinh task engagement and focus
|
Paper Finding
|
psychology
|
I'm writing a research paper and want to include some research as a literature review in 'Internet of Things,' specifically on the 'Security problem in networks.' Can you help me and suggest papers does use 'Evolutionary Algorithm' to solve this problem?
|
Paper Finding
|
computer science
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Summarize the principle of SpinQuant.
|
Literature Understanding
|
computer science
|
Find papers on a satellite communications related to the charateristic of satellite communications
|
Paper Finding
|
engineering
|
exosome research cell line transfection
|
Literature Understanding
|
biology
|
is discussing death taboo in religious groups such as christianity
|
Literature Understanding
|
social sciences
|
papers on eeg and seeing
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Paper Finding
|
neuroscience
|
Using Non-Bisulfite Data of cfDNA to Predict Methylation
|
Literature Understanding
|
biology
|
What are the main criticism of prophetic-apostolic movement?
|
Literature Understanding
|
social sciences
|
What are the important applications of insulator materials?
|
Literature Understanding
|
engineering
|
Can you find me any recent scholarly work that supports the following claims?
1. Highly confident data points typically lie further from the classification decision boundary, posing a higher risk of overfitting.
2. Less confident data points are often closer to the boundary, making them harder to learn.
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Paper Finding
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computer science
|
ordinal network data latent space model approach
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Paper Finding
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computer science
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How do emissions influence solar irradiance and the long-term environmental benefits of solar energy?
|
Literature Understanding
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environmental science
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which one is better: non fiction or fiction readings? and why?
|
Literature Understanding
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education
|
Are there any research findings on the relationship between TFF3 and increased mucus viscosity?
|
Literature Understanding
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biology
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Utilizing deep learning for three component magnetic localization
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Literature Understanding
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computer science
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Derive electromagnetism formula and explain
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Literature Understanding
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physics
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The Interrelationship Between Change Management and Digital Transformation
|
Literature Understanding
|
business
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Paper on sgbm algorithm
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Paper Finding
|
computer science
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Are there any articles in text-video retrieval that focus on using attention mechanisms for ranking, using hierarchical information of user feedback?
|
Paper Finding
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computer science
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Research on NLP tasks that output multiple texts for a single input
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Paper Finding
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computer science
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which studies use this datasets RAIG COVID 19 in medical classification with reached accuracy?
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Paper Finding
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computer science
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japanese kanji reading native japanese fixation eye movement
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Paper Finding
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psychology
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Great choice! Let’s start with the literature review, focusing on two aspects: HCI Research and HCI Theory.
Step 1: HCI Research
We'll identify relevant academic literature related to:
Rock climbing apps: Explore existing applications or studies focusing on similar user needs (e.g., activity tracking, social features, weather integration).
Outdoor activity applications: Broaden the scope to apps designed for outdoor enthusiasts, focusing on interaction design and usability for such contexts.
Wearables in sports: Research how wearables are integrated with mobile apps for outdoor activities.
Step 2: HCI Theory
We'll cover concepts such as:
Interaction Design:
Touch and gesture interactions for ease of use.
Design patterns for logging and tracking progress.
Cognitive Load Theory:
Simplify navigation and interfaces for users in challenging outdoor conditions.
Feedback and Visibility:
Immediate feedback for logged activities or weather updates.
Social Features:
Interaction design theory for enhancing community engagement.
Action Plan:
Search for literature or case studies focusing on:
Mobile apps for climbing or similar sports.
HCI principles applied to outdoor apps.
Usability and accessibility challenges for climbers.
Collect and summarise findings under two headings:
Insights for conceptual design and features.
Theories to guide user-friendly interactions.
Would you like me to help locate or summarise specific research papers for these aspects? Or guide you in building a structured search strategy?
You said:
give me some more specific esearch papers just give me some keyword the rest will I will do it with ai open scholar ai
2/2
ChatGPT said:
ChatGPT
To assist with your literature review on designing a digital application for outdoor rock climbers in the UK, consider using the following keywords in your searches:
Rock Climbing Mobile Applications: Explore existing apps tailored for rock climbers, focusing on features like climb logging, social connectivity, and weather integration.
Usability in Outdoor Activity Apps: Investigate studies on user interface design and user experience specific to outdoor recreational applications.
Wearable Technology in Sports: Examine the integration of wearable devices in sports applications, emphasizing data tracking and user interaction.
Social Features in Sports Apps: Look into how social functionalities are implemented in sports-related applications to enhance community engagement.
Weather Forecast Integration in Mobile Apps: Research methods and best practices for incorporating real-time weather data into mobile applications.
Utilizing these keywords should help you find relevant academic papers and articles to inform your project's design and development.
Sources
here is my project decryption before making an prototype I need to research and also find paper which could be be helpful (like principle, ui tips, ux, Understanding and conceptualising interaction, Interaction design processes and tools, User needs and requirements, Design Thinking, Prototyping and construction) so that it could be helpful in building the prototype and the report
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Paper Finding
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computer science
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Tell me the details about the dataset: HumanEvalPack
|
Literature Understanding
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computer science
|
Psychiatric nursing role for breast cancer survivors
|
Literature Understanding
|
medicine
|
How was the transition from traditional craftsmanship to professionalisation?
|
Literature Understanding
|
social sciences
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Is there any study that uses single carrier frequency domain equalisation to solve Doppler frequency deviation?
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Paper Finding
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engineering
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COONa (sodium carboxylate) is more soluble in water than COOH (carboxylic acid).
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Other
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chemistry
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induced emotional states in memory recall using video clips
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Paper Finding
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psychology
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Survey of agentic platforms
|
Literature Understanding
|
computer science
|
find researchs of the variability of superrotation by the meridional circulation
|
Paper Finding
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environmental science
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Look for such research efforts that mask specific parts of attention in certain layers of a large language model, thereby improving overall task performance.
|
Paper Finding
|
computer science
|
As aforementioned, AI tasks like, natural language processing and image generation required significant computing and energy resource to generate appropriate response. Application like Apple Intelligence and Google Gemini adopt pure cloud based offloading strategy, in which edge device submit an inference request that encompasses the input data to cloud server through the network. Upon receiving the inference request, the cloud server would response an inferencing task along with other computation requests based on pre-defined scheduling heuristic and transmitted back through the same way.
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Other
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computer science
|
What are some examples of successful integration of human expertise and AI systems in healthcare, education, and governance?
|
Literature Understanding
|
computer science
|
Transformation of Bioinformatics Ideas
|
Ideation
|
biology
|
Would you be able to recommend any foundational books or articles that provide insights into the overview of online higher education?
|
Literature Understanding
|
education
|
Undecidability of thoery of uninterpreted function symbols
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Literature Understanding
|
computer science
|
what is a competitive intelligence ?
|
Literature Understanding
|
business
|
Papers with numerical solutions to 1D periodic structures with Bloch modes. Eg. With the transfer matrix method.
|
Paper Finding
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physics
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Sense of embodiment and sensory motor coordination
|
Paper Finding
|
neuroscience
|
Photosynthesis and chlorphagy and effect of salinity on plants with citation and reference in Harvard style only from 2019 to 2024
|
Literature Understanding
|
biology
|
Find papers on topic significant proportion of respondents seem to view their social support as positive, with very minimal expression of lower levels of support.
|
Paper Finding
|
psychology
|
summarise recent papers on NIDS, specifically one that uses the NSL-KDD dataset, and proposes using n-fold cross validation or segmenting training data for training and testing. performance evaluation based on 2/5/23-class classification scheme.
|
Literature Understanding
|
computer science
|
Analyzing Trends Over Time
"What are the key trends and shifts in the research on [architectural design of university intermediate spaces on user attendance and improving the level of convergent education] over the last [last decade]? Highlight how the focus of studies has changed."
Example: "What are the key trends and shifts in the research on architectural design of university intermediate spaces on user attendance and improving the level of convergent education the last decade? Highlight how the focus has changed from Open, closed, intermediate spaces."
|
Literature Understanding
|
architecture
|
why does so many ai projects fail
|
Literature Understanding
|
computer science
|
what is the lysozyme function in sputum?
|
Literature Understanding
|
biology
|
Tell me about the SNP disease associations of rs712
|
Literature Understanding
|
biology
|
llm in database design
|
Literature Understanding
|
computer science
|
Factors contributing to the Audit Expectation Gap
|
Literature Understanding
|
finance
|
Knowledge graph using microRNA, gut microbiome, metabolites and disease associations
|
Paper Finding
|
biology
|
check for trend of radar for hci
|
Literature Understanding
|
computer science
|
Can systematic reviews be automated?
|
Literature Understanding
|
research methodology
|
How does soil bulk density influence biodiversity below ground for agricultural fields in The Netherlands?
|
Literature Understanding
|
environmental science
|
professional adaptability is a more complex and long-term process that not only involves the individual’s alignment with the specific characteristics of a job but also considers the development and balance in the professional trajectory, long-term career growth strategies, work-life balance, and cognitive and personality capabilities
|
Other
|
psychology
|
how many operation domain design are needed to test automated driving systems
|
Literature Understanding
|
engineering
|
Please provide some recent work on alignment algorithms for multimodal large language models.
|
Paper Finding
|
computer science
|
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