Jennifer Benjamin
Datos Biográficos
| ID | 4415989 |
|---|---|
| NOMBRE | Jennifer Benjamin |
| NOMBRES | Jennifer |
| APELLIDO | Benjamin |
| FIRMA | BENJAMIN J |
| AFILIACIONES | Baylor College of Medicine |
| ORCID | 0000-0001-6085-5973 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 12 |
| TOTAL DE CITAS | 0 |
| TOTAL COMO AUTOR | 12 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2022 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 0 |
Twelve tips for teaching research skills in the age of agentic AI
BACKGROUND: The recent advances in Generative Artificial Intelligence (GenAI), from task-specific assistants to autonomous agentic artificial intelligence (AI) are changing how research is conceived, conducted, and written. Across this spectrum AI can now assist with literature searches and synthesis, protocol drafting, statistical analysis, and manuscript preparation, particularly in computational domains. Yet AI outputs remain error-prone, opaq…
Addressing educational overload with generative AI through dual coding and cognitive load theories
WHAT WAS THE EDUCATION CHALLENGE?: Health professions education faces a critical challenge: the volume and complexity of medical knowledge has outpaced the cognitive limits of learners. Cognitive load theory indicates that traditional text-heavy instruction overloads the working memory. Current educational materials fail to leverage the dual coding theory which proposes that content should be presented through both verbal and visual channels. WHA…
Using locally-hosted Small Language Models (SLMs) to protect student, patient and research subject data in Health Professions Education
WHAT WAS THE EDUCATIONAL CHALLENGE?: Cloud-based Large Language Models (LLMs) are being increasingly used for Health Professions Education (HPE) teaching and research. A major concern is data privacy, resulting in a potential exposure of student, patient, and research participant data. WHAT WAS THE SOLUTION AND HOW WAS IT IMPLEMENTED?: Language Models to assist the teacher and researcher in completing tasks while minimising the risk of data expos…
Revitalizing Scientific Poster Sessions
Artificial Intelligence in Health Professions Education assessment
Health Professions Education (HPE) assessment is being increasingly impacted by Artificial Intelligence (AI), and institutions, educators, and learners are grappling with AI's ever-evolving complexities, dangers, and potential. This AMEE Guide aims to assist all HPE stakeholders by helping them navigate the assessment uncertainty before them. Although the impetus is AI, the Guide grounds its path in pedagogical theory, considers the range of huma…
Pedagogy and generative artificial intelligence
Healthcare educators (HPE) are challenged by rapid developments in Generative Artificial Intelligence (GenAI) tools. They need a standardized model to evaluate these new tools and to guide them in pedagogically-sound integration in the curriculum. PICRAT is an educational model designed specifically to help teachers meet this challenge. NotebookLM is a new multi-featured GenAI tool to help teachers and learners in education and research. Its newe…
Twelve tips on applying AI tools in HPE scholarship using Boyer’s model
AI has changed the landscape of health professions education. With the hype now behind us, we find ourselves in the phase of reckoning, considering what's next; where do we start and how can educators use these powerful tools for daily teaching and learning. We recognize the great need for training to use AI meaningfully for education. Boyer's model of scholarship provides a pedagogical approach for teaching with AI and how to maximize these effo…
Modified family assessment form (MFAF) and Pennsylvania families
Using starling murmuration as a model for creating a global health community of practice to advance equity in scholarship
BACKGROUND: Disparities in scholarship exist between authors in low- or middle-income countries (LMIC) and high-income countries. Recognizing these disparities in our global network providing pediatric, adolescent, and maternal healthcare to vulnerable populations in LMIC, we sought to improve access and provide resources to address educational needs and ultimately impact the broader scholarship disparity. METHODS: We created a virtual community …
Twelve tips on creating and using custom GPTs to enhance health professions education
The custom GPT is the latest powerful feature added to ChatGPT. Non-programmers can create and share their own GPTs ("chat bots"), allowing Health Professions Educators to apply the capabilities of ChatGPT to create administrative assistants, online tutors, virtual patients, and more, to support their clinical and non-clinical teaching environments. To achieve this correctly, however, requires some skills, and this 12-Tips paper provides those: w…
Online learning in health professions education. Part 2
focused on foundational concepts such as theory, methods, and instructional design in online learning. Part 2 builds upon Part 1, introducing technology tools and applications of these foundational concepts by exploring the various levels (from beginner to advanced) of utilisation, while describing how their usage can transform Health Professions Education. This Part covers Learning Management Systems, infographics, podcasting, videos, websites, …
Increasing access to a global health conference and enhancing research capacity
The foundational principles of global health (GH) organizations are rooted in the recognition and amelioration of inequities that result in poor health. Despite capacity enhancing strategies designed as bilateral partnerships with colleagues in low- and middle-income (LMIC) settings, international organizations from high-income countries (HIC) still struggle to address the lack of opportunities for professional development [...]
Sin obras prominentes en esta página.
Increasing access to a global health conference and enhancing research capacity
The foundational principles of global health (GH) organizations are rooted in the recognition and amelioration of inequities that result in poor health. Despite capacity enhancing strategies designed as bilateral partnerships with colleagues in low- and middle-income (LMIC) settings, international organizations from high-income countries (HIC) still struggle to address the lack of opportunities for professional development [...]
Using starling murmuration as a model for creating a global health community of practice to advance equity in scholarship
BACKGROUND: Disparities in scholarship exist between authors in low- or middle-income countries (LMIC) and high-income countries. Recognizing these disparities in our global network providing pediatric, adolescent, and maternal healthcare to vulnerable populations in LMIC, we sought to improve access and provide resources to address educational needs and ultimately impact the broader scholarship disparity. METHODS: We created a virtual community …
Twelve tips on creating and using custom GPTs to enhance health professions education
The custom GPT is the latest powerful feature added to ChatGPT. Non-programmers can create and share their own GPTs ("chat bots"), allowing Health Professions Educators to apply the capabilities of ChatGPT to create administrative assistants, online tutors, virtual patients, and more, to support their clinical and non-clinical teaching environments. To achieve this correctly, however, requires some skills, and this 12-Tips paper provides those: w…
Online learning in health professions education. Part 2
focused on foundational concepts such as theory, methods, and instructional design in online learning. Part 2 builds upon Part 1, introducing technology tools and applications of these foundational concepts by exploring the various levels (from beginner to advanced) of utilisation, while describing how their usage can transform Health Professions Education. This Part covers Learning Management Systems, infographics, podcasting, videos, websites, …
Revitalizing Scientific Poster Sessions
Artificial Intelligence in Health Professions Education assessment
Health Professions Education (HPE) assessment is being increasingly impacted by Artificial Intelligence (AI), and institutions, educators, and learners are grappling with AI's ever-evolving complexities, dangers, and potential. This AMEE Guide aims to assist all HPE stakeholders by helping them navigate the assessment uncertainty before them. Although the impetus is AI, the Guide grounds its path in pedagogical theory, considers the range of huma…
Pedagogy and generative artificial intelligence
Healthcare educators (HPE) are challenged by rapid developments in Generative Artificial Intelligence (GenAI) tools. They need a standardized model to evaluate these new tools and to guide them in pedagogically-sound integration in the curriculum. PICRAT is an educational model designed specifically to help teachers meet this challenge. NotebookLM is a new multi-featured GenAI tool to help teachers and learners in education and research. Its newe…
Twelve tips on applying AI tools in HPE scholarship using Boyer’s model
AI has changed the landscape of health professions education. With the hype now behind us, we find ourselves in the phase of reckoning, considering what's next; where do we start and how can educators use these powerful tools for daily teaching and learning. We recognize the great need for training to use AI meaningfully for education. Boyer's model of scholarship provides a pedagogical approach for teaching with AI and how to maximize these effo…
Modified family assessment form (MFAF) and Pennsylvania families
Twelve tips for teaching research skills in the age of agentic AI
BACKGROUND: The recent advances in Generative Artificial Intelligence (GenAI), from task-specific assistants to autonomous agentic artificial intelligence (AI) are changing how research is conceived, conducted, and written. Across this spectrum AI can now assist with literature searches and synthesis, protocol drafting, statistical analysis, and manuscript preparation, particularly in computational domains. Yet AI outputs remain error-prone, opaq…
Addressing educational overload with generative AI through dual coding and cognitive load theories
WHAT WAS THE EDUCATION CHALLENGE?: Health professions education faces a critical challenge: the volume and complexity of medical knowledge has outpaced the cognitive limits of learners. Cognitive load theory indicates that traditional text-heavy instruction overloads the working memory. Current educational materials fail to leverage the dual coding theory which proposes that content should be presented through both verbal and visual channels. WHA…
Using locally-hosted Small Language Models (SLMs) to protect student, patient and research subject data in Health Professions Education
WHAT WAS THE EDUCATIONAL CHALLENGE?: Cloud-based Large Language Models (LLMs) are being increasingly used for Health Professions Education (HPE) teaching and research. A major concern is data privacy, resulting in a potential exposure of student, patient, and research participant data. WHAT WAS THE SOLUTION AND HOW WAS IT IMPLEMENTED?: Language Models to assist the teacher and researcher in completing tasks while minimising the risk of data expos…
Computer Science (8 obras) · Medicine (8 obras) · Medical education (7 obras) · Psychology (7 obras) · Artificial Intelligence in Healthcare and Education (6 obras) · Engineering (5 obras) · Political science (5 obras) · Health care (4 obras) · Health Professions (4 obras) · Innovations in Medical Education (4 obras)