Odds are we've all used (or tried!) quite a few tools to facilitate efficiency inside and outside of the classroom and empower students to learn more effectively, whether on campus or off. Some of those tools are perhaps homegrown and unique to one's own institution, but freely available educational technologies abound as well, some in the cloud, some for Macs and PCs, some open-source. And quite a few commercial tools offer free or discounted educational plans as well. In this BoF, we'll begin with a whirlwind tour of the tools we ourselves use, including artificial intelligence (AI), identifying the problems they solve and how well, then quickly open the floor to everyone to share their favorites as well. Along the way, we'll jot down every tool mentioned and share the results. With educational technology an evergreen landscape, this year's list will surely be different from last! Attendees should exit this session with a better understanding of the current landscape, familiarized with innovations they can bring back to their own classes (whether high school, undergraduate, or graduate), without reinventing wheels themselves.

Teaching computer science at scale can be challenging. From our experience in CS50, Harvard University's introductory course, we've seen firsthand the impactful role that generative artificial intelligence can play in education. Recognizing its potential and stakes, we integrated OpenAI's GPT into our own teaching methodology. The goal was to emulate a 1:1 teacher-to-student ratio, incorporating ''pedagogical guardrails'' to maintain instructional integrity. The result was a personalized, AI-powered bot in the form of a friendly rubber duck aimed at delivering instructional responses and troubleshooting without giving outright solutions. In this tutorial, we share our journey and offer insights into responsibly harnessing AI in educational settings. Participants will gain hands-on experience working with GPT through OpenAI's latest APIs, understanding and crafting prompts, answering questions using embedding-based search, and, finally, collaboratively building their own AI chatbot. We will also explore the growing landscape of agentic AI tools such as Claude Code, GitHub CoPilot, OpenAI Codex, discussing their applications in educational contexts. Prior knowledge of Python is beneficial but not required, as all demo source code will be provided. Ultimately, we'll not only share lessons learned from our own approach but also equip educators hands-on with the knowledge and tools with which they, too, can implement these technologies in their unique teaching environments.

Odds are we've all used (or tried!) quite a few tools to facilitate efficiency inside and outside of the classroom and empower students to learn more effectively, whether on campus or off. Some of those tools are perhaps homegrown and unique to one's own institution, but freely available educational technologies abound as well, some in the cloud, some for Macs and PCs, some open-source. And quite a few commercial tools offer free or discounted educational plans as well. In this BoF, we'll begin with a whirlwind tour of the tools we ourselves use, including AI, identifying the problems they solve and how well, then quickly open the floor to everyone to share their favorites as well. Along the way, we'll jot down every tool mentioned and share the results. With educational technology an evergreen landscape, this year's list will surely be different from last! Attendees should exit this session with a better understanding of the current landscape, familiarized with innovations they can bring back to their own classes (whether high school, undergraduate, or graduate), without reinventing wheels themselves.

Teaching computer science at scale can be challenging. From our experience in CS50, Harvard University's introductory course, we've seen firsthand the impactful role that generative artificial intelligence can play in education. Recognizing its potential and stakes, we integrated OpenAI's GPT into our own teaching methodology. The goal was to emulate a 1:1 teacher-to-student ratio, incorporating "pedagogical guardrails" to maintain instructional integrity. The result was a personalized, AI-powered bot in the form of a friendly rubber duck aimed at delivering instructional responses and troubleshooting without giving outright solutions. In this tutorial, we share our journey and offer insights into responsibly harnessing AI in educational settings. Participants will gain hands-on experience working with GPT through OpenAI's latest APIs, understanding and crafting prompts, answering questions using embedding-based search, and finally, collaboratively building their own AI chatbot. Ultimately, we'll not only share lessons learned from our own approach but also equip educators hands-on with the knowledge and tools with which they, too, can implement these technologies in their unique teaching environments.

Odds are we've all used (or tried!) quite a few tools to facilitate efficiency inside and outside of the classroom and empower students to learn more effectively, whether on campus or off. Some of those tools are perhaps homegrown and unique to one's own institution, but freely available educational technologies abound as well, some in the cloud, some for Macs and PCs, some open-source. And quite a few commercial tools offer free or discounted educational plans as well. In this BoF, we'll begin with a whirlwind tour of the tools we ourselves use, including AI, identifying the problems they solve and how well, then quickly open the floor to everyone to share their favorites as well. Along the way, we'll jot down every tool mentioned and share the results. With educational technology an evergreen landscape, this year's list will surely be different from last! Attendees should exit this session with a better understanding of the current landscape, familiarized with innovations they can bring back to their own classes (whether high school, undergraduate, or graduate), without reinventing wheels themselves.

Teaching computer science at scale can be challenging. From our experience in CS50, Harvard University's introductory course, we've seen firsthand the impactful role that generative artificial intelligence can play in education. Recognizing its potential and stakes, we integrated OpenAI's GPT into our own teaching methodology. The goal was to emulate a 1:1 teacher-to-student ratio, incorporating "pedagogical guardrails" to maintain instructional integrity. The result was a personalized, AI-powered bot in the form of a friendly rubber duck aimed at delivering instructional responses and troubleshooting without giving outright solutions. We plan to share our journey and offer insights into responsibly harnessing AI in educational settings. Participants will gain hands-on experience working with GPT through OpenAI's APIs, understanding and crafting prompts, answering questions using embedding-based search, and finally, building their own AI chatbot. Ultimately, we'll not only share lessons learned from our own approach but also equip educators hands-on with the knowledge and tools with which they, too, can implement these technologies in their unique teaching environments.

For CS50 at Harvard, we have long provided students with a standardized programming environment, to avoid start-of-term technical difficulties that might otherwise arise if students had to install and configure compilers, interpreters, and debuggers on their own Macs and PCs. (For many students, "hello, world" is challenge enough on day 0, without also encountering "command not found" at the same time!) We originally provided students with shell accounts on a university-managed cluster of systems. We then transitioned to a cloud-based equivalent so as to manage the systems ourselves, root access and all. We transitioned thereafter to client-side virtual machines, to scale to more students and enable GUI-based assignments. We have since transitioned to web-based environments, complete with code tabs, terminal windows, and file explorers, initially implemented atop AWS Cloud9 and now, most recently, GitHub Codespaces, an implementation of Visual Studio (VS) Code in the cloud, free for teachers and students alike. In this workshop, we'll discuss the pedagogical and technological advantages and disadvantages of every approach and focus most of our time, hands-on, on using and configuring GitHub Codespaces itself for teaching and learning. Along the way, attendees will learn how to create their own Docker images and "devcontainers" for their own classes and any languages they teach. Attendees will learn what is possible educationally by writing their own VS Code extensions as well. And how, at term's end, to "offboard" students to VS Code itself on their own Macs and PCs, so as to continue programming independent of Codespaces.

Odds are we've all used (or tried!) quite a few tools to facilitate efficiency inside and outside of the classroom and empower students to learn more effectively, whether on campus or off. Some of those tools are perhaps homegrown and unique to one's own institution, but freely available educational technologies abound as well, some in the cloud, some for Macs and PCs, some open-source. And quite a few commercial tools offer free or discounted educational plans as well. In this BoF, we'll begin with a whirlwind tour of the tools we ourselves use, identifying the problems they solve and how well, then quickly open the floor to everyone to share their favorites as well. Along the way, we'll jot down every tool mentioned and share the results. With educational technology an evergreen landscape, this year's list will surely be different from last! Attendees should exit this session with a better understanding of the current landscape, familiarized with innovations they can bring back to their own classes (whether high school, undergraduate, or graduate), without reinventing wheels themselves.

Odds are we've all used (or tried!) quite a few tools to facilitate efficiency inside and outside of the classroom and empower students to learn more effectively, whether on campus or off. Some of those tools are perhaps homegrown and unique to one's own institution, but freely available educational technologies abound as well, some in the cloud, some for Macs and PCs, some open-source. And quite a few commercial tools offer free or discounted educational plans as well. In this BoF, we'll begin with a whirlwind tour of the tools we ourselves use, identifying the problems they solve and how well, then quickly open the floor to everyone to share their favorites as well. Along the way, we'll jot down every tool mentioned and share the results. With educational technology an evergreen landscape, this year's list will surely be different from last! Attendees should exit this session with a better understanding of the current landscape, familiarized with innovations they can bring back to their own classes (whether high school, undergraduate, or graduate), without reinventing wheels themselves.

Odds are we've all used (or tried!) quite a few tools to facilitate efficiency inside and outside of the classroom and empower students to learn more effectively. Some of those tools are perhaps homegrown and unique to one's own institution, but freely available educational technologies abound as well, some in the cloud, some for Macs and PCs, some open-source. And quite a few commercial tools offer free or discounted educational plans as well. In this BoF, we'll begin with a whirlwind tour of the tools we ourselves use, identifying the problems they solve and how well, then quickly open the floor to everyone to share their favorites as well. Along the way, we'll jot down every tool mentioned and share the results. With educational technology an evergreen landscape, this year's list will surely be different from last! Attendees should exit this session with a better understanding of the current landscape, familiarized with innovations they can bring back to their own classes (whether high school, undergraduate, or graduate), without reinventing wheels themselves.

Odds are we've all used (or tried!) quite a few tools to facilitate efficiency inside and outside of the classroom and empower students to learn more effectively. Some of these tools are perhaps homegrown and unique to one's own institution, but freely available educational technologies abound as well, some in the cloud, some for Macs and PCs, some open-source. And quite a few commercial tools offer free or discounted educational plans as well. In this BoF, we'll begin with a whirlwind tour of the tools we ourselves use, identifying the problems they solve and how well, then quickly open the floor to everyone to share their favorites as well. Along the way, we'll note every tool mentioned and share the results. Attendees should exit this session with a better understanding of the educational-technology landscape, familiarized with innovations they can bring back to their own classes.

We aspire to teach academic honesty in CS50 at Harvard University not only by addressing academic dishonesty when it occurs but by addressing it before it does. By way of communication, course- and campus-wide awareness of policy, just-in-time prompts, interventional conversations, and problem sets have we tried to preempt submission of plagiarized work. But few interventions have had significant or lasting effects on the number of instances thereof. Most impactful has been the addition of one sentence to the course's syllabus, a "regret clause" that encourages students to come forward within 72 hours of some dishonest act on their part, before the course itself is even aware. While we might zero the work in question in such cases, we commit to not escalating the matter further to the university's honor council, where the outcome might instead be admonishment, probation, or even required withdrawal from the university itself. We instead advise students on how best to move forward and connect them as needed with support structures on campus for academics and mental health. Since 2014 have 89 students invoked the clause, between 1% and 3% of the course's student body each year.

Odds are we've all used (or tried!) quite a few tools to facilitate efficiency inside and outside of the classroom and empower students to learn more effectively. Some of those tools are perhaps homegrown and unique to one's own institution, but freely available educational technologies abound as well, some in the cloud, some for Macs and PCs, some open-source. And quite a few commercial tools offer free or discounted educational plans as well. In this BoF, we'll begin with a whirlwind tour of the tools we ourselves use, identifying the problems they solve and how well, then quickly open the floor to everyone to share their favorites as well. Along the way, we'll jot down every tool mentioned and share the results. Attendees should exit this session with a better understanding of the educational-technology landscape, familiarized with innovations they can bring back to their own classes.

We present in this hands-on workshop a suite of interactive programming environments for teachers and students, each of them cloud-based and free. The first is CS50 Sandbox, a web app at sandbox.cs50.io that enables teachers and students to create temporary programming environments quickly and share copies of those sandboxes with others. With this app can a teacher start programs in class that students can then finish, distribute starter code for problems, and post interactive solutions. The second tool is CS50 Lab, a web app at lab.cs50.io that enables teachers to create step-by-step programming lessons, providing incremental feedback at each step, and enables students to progress from an empty file (or starter code) to working code, with hints and feedback along the way. Via this app can teachers author their own Codecademy-style lessons using just a GitHub repository of their own. And third in the suite is CS50 IDE, a web app at ide.cs50.io built atop Cloud9 that provides students with their own cloud-based Linux environment. Each of these environments offers a built-in file browser and code editor and, most importantly, an interactive terminal window with shell access to their very own container. And each enables students to write programs in any language. Throughout this workshop will we discuss lessons learned from having deployed these tools in CS50 at Harvard to hundreds of students on campus and thousands of students online. And we'll discuss challenges encountered and best practices adopted.