# Collaborative Research: CyberTraining: Implementation: Medium: ACAI-Train: Scalable Instructor Training for Infusing AI and Advanced CI Concepts Into Early Core Computing Courses

> **NSF 01002627DB NSF RESEARCH & RELATED ACTIVIT** · Knox College (IL) · $149,992

## Abstract

Artificial intelligence (AI), large-scale data, connected devices, cloud and high-performance computing systems, that together form the nation's cyberinfrastructure, are central to national competitiveness, yet most computing students encounter them only in advanced elective courses. This project infuses aspects of AI, Big Data, and Parallel and Distributed Computing concepts and practices into three foundational computing courses. The first two form the usual introductory programming sequence, and third is the computer systems course that is often taken shortly after them. Thus, all computing majors, not only those pursuing upper-level elective courses, will develop critical skills for understanding and contributing to the modern computational ecosystem. The project addresses a persistent barrier to such curriculum modernization: many instructors need focused preparation, classroom-tested examples, and adaptable teaching materials before they can confidently introduce these topics in early courses. To overcome this bottleneck, the project develops courses and materials to train about 200 current and future instructors through three intensive in-person summer workshops, an additional six hybrid tutorials at major conferences, and complementary online workshops. Summer trainees adapt and implement the course exemplars at their own institutions and contribute evaluation data, classroom-tested refinement and local adaptation, enabling broader adoption. With the potential to imp

## Key facts

- **NSF award ID:** 2612358
- **Awardee organization:** Knox College (IL)
- **SAM.gov UEI:** WFM6ZQMN9PM1
- **PI:** David P Bunde
- **Primary program:** 01002627DB NSF RESEARCH & RELATED ACTIVIT
- **All programs:** Artificial Intelligence (AI), CI Training and Professionals, CYBERINFRASTRUCTURE/SCIENCE
- **Estimated total:** $149,992
- **Funds obligated:** $149,992
- **Transaction type:** Standard Grant
- **Period:** 07/15/2026 → 06/30/2030

## Primary source

NSF Award Search: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2612358

## Citation

> US National Science Foundation, Award 2612358, Collaborative Research: CyberTraining: Implementation: Medium: ACAI-Train: Scalable Instructor Training for Infusing AI and Advanced CI Concepts Into Early Core Computing Courses. Retrieved via AI Analytics 2026-06-08 from https://api.ai-analytics.org/grant/nsf/2612358. Licensed CC0.

---

*[NSF Awards dataset](/datasets/nsf-awards) · CC0 1.0*