Victor R Lee
Biographic Data
| ID | 3716136 |
|---|---|
| NAME | Victor R Lee |
| GIVEN NAMES | Victor R |
| FAMILY NAME | Lee |
| SIGNATURE | LEE V R |
| AFFILIATIONS | Stanford University |
| ORCID | 0000-0001-6434-7589 |
| VERIFIED | Yes |
| TOTAL WORKS | 16 |
| TOTAL CITATIONS | 10 |
| AUTHOR COUNT | 16 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2014 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Cheating in the second year of generative AI chatbots
This study examines the evolving relationship between AI chatbots and academic integrity and students’ AI chatbot usage in high schools one and a half years after the release of ChatGPT. Through a comprehensive survey of students across six schools (N = 4,354) in the United States, we investigated students' self-reported cheating behaviors, patterns of AI use across different school-related tasks, and student perspectives on appropriate AI use in…
Feeling a Goodness of Fit
Affect has long been of interest in early childhood education, where social and emotional dynamics are seen as critical dimensions of learning, intricately linked to embodied activity. As part of the special issue Centering Affect and Emotion Toward Justice and Dignity in Science Education, this paper conceptualizes affect through children's bodily comfort. Data were collected in two Kindergarten classrooms participating in an integrated computer…
An interaction analysis of a computer science co-design conversation on cultural relevance and its implications for design
This article uses interaction analysis to examine an episode moment-by-moment of how a group of educators recognized and acknowledged that a specific design decision could be harmful for a historically marginalized population of students enrolled in the district. However, once a key change was made to be more culturally responsive and considerate, new and unexpected pedagogical challenges appeared. This case serves to illustrate some of the unexp…
Cheating
Cheating with AI is the proverbial elephant in the room, with the widespread assumption that the amount of cheating has exploded since the appearance of generative AI tools like ChatGPT. However, the research on cheating tells a more complicated story. For high schools, cheating levels did not significantly increase after the release of ChatGPT. However, the methods for cheating are changing. Victor R. Lee, Denise Pope, and Sarah Miles share rese…
Teaching high school students about generative AI
Teachers who wish to enact lessons about generative AI are required to simultaneously learn about it and develop curricula with activities that align with their discipline. We present two cases of high school teachers, June and Margot, who had different prior experiences, resources, and learning goals related to GenAI instruction. We found that they designed lessons that positioned GenAI as an object-of-study or subject-specific, but neither less…
Learning sciences and learning engineering
“Learning engineering” has gained popularity as a term connected to the work of learning sciences. However, the nature of that connection is not entirely clear. For some, learning engineering represents distinct, industry-inspired practices enabled by data abundance and digital platformization of learning technologies. That view is presented as one where learning engineers apply learning research that has resided in experimental studies. For othe…
Designing formative assessments of early childhood computational thinking
With growing interest in supporting the development of computational thinking (CT) in early childhood, there is also need for new assessments that serve multiple purposes and uses. In particular, there is a need to understand the design of formative assessments that can be used during classroom instruction to provide feedback to teachers and children in real-time. In this paper, we report on an empirical study and advance a new unit of observatio…
Data science education across the disciplines
Taking data feminism to school
As the field of K‐12 data science education continues to take form, humanistic approaches to teaching and learning about data are needed. Data feminism is an approach that draws on feminist scholarship and action to humanize data and contend with the relationships between data and power. In this review paper, we draw on principles from data feminism to review 42 different educational research and design approaches that engage youth with data, man…
Let’s cut to commercial
It’s More Than Just Technology Adoption
A Call for a Humanistic Stance Toward K–12 Data Science Education
There is growing interest in how to better prepare K–12 students to work with data. In this article, we assert that these discussions of teaching and learning must attend to the human dimensions of data work. Specifically, we draw from several established lines of research to argue that practices involving the creation and manipulation of data are shaped by a combination of personal experiences, cultural tools and practices, and political concern…
The picture of smartphones at school is not a dire one and the picture of student competence is a bright one
Paper Circuits
Let's Get Physical
Students’ Digital Photography Behaviors during a Multiday Environmental Science Field Trip and Their Recollections of Photographed Science Content
Taking photographs to document the experiences of an educational field trip is becoming a common activity for teachers and students alike. Considering the regular creation of photographic artifacts, our goal in this paper is to explore students’ picture taking behavior and their recollections of science content associated with their photographs. In this study, we partnered with a class of fifth-grade students in the United States and provided eac…
A Call for a Humanistic Stance Toward K–12 Data Science Education
There is growing interest in how to better prepare K–12 students to work with data. In this article, we assert that these discussions of teaching and learning must attend to the human dimensions of data work. Specifically, we draw from several established lines of research to argue that practices involving the creation and manipulation of data are shaped by a combination of personal experiences, cultural tools and practices, and political concern…
Feeling a Goodness of Fit
Affect has long been of interest in early childhood education, where social and emotional dynamics are seen as critical dimensions of learning, intricately linked to embodied activity. As part of the special issue Centering Affect and Emotion Toward Justice and Dignity in Science Education, this paper conceptualizes affect through children's bodily comfort. Data were collected in two Kindergarten classrooms participating in an integrated computer…
Let's Get Physical
Students’ Digital Photography Behaviors during a Multiday Environmental Science Field Trip and Their Recollections of Photographed Science Content
Taking photographs to document the experiences of an educational field trip is becoming a common activity for teachers and students alike. Considering the regular creation of photographic artifacts, our goal in this paper is to explore students’ picture taking behavior and their recollections of science content associated with their photographs. In this study, we partnered with a class of fifth-grade students in the United States and provided eac…
Let's Get Physical
Paper Circuits
The picture of smartphones at school is not a dire one and the picture of student competence is a bright one
Let’s cut to commercial
It’s More Than Just Technology Adoption
A Call for a Humanistic Stance Toward K–12 Data Science Education
There is growing interest in how to better prepare K–12 students to work with data. In this article, we assert that these discussions of teaching and learning must attend to the human dimensions of data work. Specifically, we draw from several established lines of research to argue that practices involving the creation and manipulation of data are shaped by a combination of personal experiences, cultural tools and practices, and political concern…
Data science education across the disciplines
Taking data feminism to school
As the field of K‐12 data science education continues to take form, humanistic approaches to teaching and learning about data are needed. Data feminism is an approach that draws on feminist scholarship and action to humanize data and contend with the relationships between data and power. In this review paper, we draw on principles from data feminism to review 42 different educational research and design approaches that engage youth with data, man…
Learning sciences and learning engineering
“Learning engineering” has gained popularity as a term connected to the work of learning sciences. However, the nature of that connection is not entirely clear. For some, learning engineering represents distinct, industry-inspired practices enabled by data abundance and digital platformization of learning technologies. That view is presented as one where learning engineers apply learning research that has resided in experimental studies. For othe…
Designing formative assessments of early childhood computational thinking
With growing interest in supporting the development of computational thinking (CT) in early childhood, there is also need for new assessments that serve multiple purposes and uses. In particular, there is a need to understand the design of formative assessments that can be used during classroom instruction to provide feedback to teachers and children in real-time. In this paper, we report on an empirical study and advance a new unit of observatio…
An interaction analysis of a computer science co-design conversation on cultural relevance and its implications for design
This article uses interaction analysis to examine an episode moment-by-moment of how a group of educators recognized and acknowledged that a specific design decision could be harmful for a historically marginalized population of students enrolled in the district. However, once a key change was made to be more culturally responsive and considerate, new and unexpected pedagogical challenges appeared. This case serves to illustrate some of the unexp…
Cheating
Cheating with AI is the proverbial elephant in the room, with the widespread assumption that the amount of cheating has exploded since the appearance of generative AI tools like ChatGPT. However, the research on cheating tells a more complicated story. For high schools, cheating levels did not significantly increase after the release of ChatGPT. However, the methods for cheating are changing. Victor R. Lee, Denise Pope, and Sarah Miles share rese…
Teaching high school students about generative AI
Teachers who wish to enact lessons about generative AI are required to simultaneously learn about it and develop curricula with activities that align with their discipline. We present two cases of high school teachers, June and Margot, who had different prior experiences, resources, and learning goals related to GenAI instruction. We found that they designed lessons that positioned GenAI as an object-of-study or subject-specific, but neither less…
Cheating in the second year of generative AI chatbots
This study examines the evolving relationship between AI chatbots and academic integrity and students’ AI chatbot usage in high schools one and a half years after the release of ChatGPT. Through a comprehensive survey of students across six schools (N = 4,354) in the United States, we investigated students' self-reported cheating behaviors, patterns of AI use across different school-related tasks, and student perspectives on appropriate AI use in…
Feeling a Goodness of Fit
Affect has long been of interest in early childhood education, where social and emotional dynamics are seen as critical dimensions of learning, intricately linked to embodied activity. As part of the special issue Centering Affect and Emotion Toward Justice and Dignity in Science Education, this paper conceptualizes affect through children's bodily comfort. Data were collected in two Kindergarten classrooms participating in an integrated computer…
Psychology (12 works) · Mathematics education (11 works) · Computer Science (10 works) · Pedagogy (6 works) · Educational Games and Gamification (5 works) · Educational technology (5 works) · Engineering ethics (4 works) · Teaching and Learning Programming (4 works) · Artificial Intelligence (3 works) · Engineering (3 works)