Collin F. Lynch

"I remember how to do it": exploring upper elementary students' collaborative regulation while pair programming using epistemic network analysis

Vandenberg, J., Lynch, C., Boyer, K. E., & Wiebe, E. (2022, March 11). COMPUTER SCIENCE EDUCATION, Vol. 3.

Characterizing Student Development Progress: Validating Student Adherence to Project Milestones

PROCEEDINGS OF THE 53RD ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION (SIGCSE 2022), VOL 1, pp. 15–21.

Designing a Dashboard for Student Teamwork Analysis

PROCEEDINGS OF THE 53RD ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION (SIGCSE 2022), VOL 1, pp. 446–452.

It's Challenging but Doable: Lessons Learned from a Remote Collaborative Coding Camp for Elementary Students

PROCEEDINGS OF THE 53RD ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION (SIGCSE 2022), VOL 1, pp. 342–348.

Two-Computer Pair Programming: Exploring a Feedback Intervention to improve Collaborative Talk in Elementary Students.

COMPUTER SCIENCE EDUCATION, 32(1), 3–29.

Who Uses Office Hours? A Comparison of In-Person and Virtual Office Hours Utilization

PROCEEDINGS OF THE 53RD ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION (SIGCSE 2022), VOL 1, pp. 300–306.

PEDI - Piazza Explorer Dashboard for Intervention

2021 IEEE SYMPOSIUM ON VISUAL LANGUAGES AND HUMAN-CENTRIC COMPUTING (VL/HCC 2021).

Prompting collaborative and exploratory discourse: An epistemic network analysis study

Vandenberg, J., Zakaria, Z., Tsan, J., Iwanski, A., Lynch, C., Boyer, K. E., & Wiebe, E. (2021, August 7). INTERNATIONAL JOURNAL OF COMPUTER-SUPPORTED COLLABORATIVE LEARNING, Vol. 8.

The Challenge of Noisy Classrooms: Speaker Detection During Elementary Students' Collaborative Dialogue

ARTIFICIAL INTELLIGENCE IN EDUCATION (AIED 2021), PT I, Vol. 12748, pp. 268–281.

Elementary Students' Understanding of CS Terms

ACM TRANSACTIONS ON COMPUTING EDUCATION, 20(3).

Peeking through the Classroom Window : A Detailed Data-Driven Analysis on the Usage of a Curriculum Integrated Math Game in Authentic Classrooms

LAK20: THE TENTH INTERNATIONAL CONFERENCE ON LEARNING ANALYTICS & KNOWLEDGE, pp. 625–634.

A Field Study of Teachers Using a Curriculum-integrated Digital Game

CHI 2019: PROCEEDINGS OF THE 2019 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS.

High-precision characterization of the neutron light output of stilbene along the directions of maximum and minimum response

NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, 927, 313–319.

How Widely Can Prediction Models Be Generalized? Performance Prediction in Blended Courses

IEEE TRANSACTIONS ON LEARNING TECHNOLOGIES, 12(2), 184–197.

"I Think We Should...": Analyzing Elementary Students' Collaborative Processes for Giving and Taking Suggestions

SIGCSE'18: PROCEEDINGS OF THE 49TH ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION, pp. 622–627.

Empirically Evaluating the Effectiveness of POMDP vs. MDP Towards the Pedagogical Strategies Induction

In Lecture Notes in Computer Science (pp. 327–331).

Learning Curve Analysis in a Large-Scale, Drill-and-Practice Serious Math Game: Where Is Learning Support Needed?

In Lecture Notes in Computer Science (pp. 436–449).

Modeling Math Success Using Cohesion Network Analysis

In Lecture Notes in Computer Science (pp. 63–67).

“Alright, what do we need?”: A study of young coders’ collaborative dialogue

International Journal of Child-Computer Interaction, 17, 61–71.

Let's work together: Improving block-based environments by supporting synchronous collaboration

2017 IEEE Blocks and Beyond Workshop (B&B), 53–56.

Who prophets from big data in education? New insights and new challenges

THEORY AND RESEARCH IN EDUCATION, 15(3), 249–271.

Evolving augmented graph grammars for argument analysis

Proceedings of the 2016 Genetic and Evolutionary Computation Conference (GECCO'16 Companion), 65–66.

Data-Driven Worked Examples Improve Retention and Completion in a Logic Tutor

In Lecture Notes in Computer Science (pp. 726–729).

Data-driven worked examples improve retention and completion in a logic tutor

Artificial intelligence in education, aied 2015, 9112, 726–729.

Can Diagrams Predict Essay Grades?

In Intelligent Tutoring Systems (pp. 260–265).

Toward Modeling and Teaching Legal Case-Based Adaptation with Expert Examples

In Case-Based Reasoning Research and Development (pp. 45–59).

Re-evaluating LARGO in the Classroom: Are Diagrams Better Than Text for Teaching Argumentation Skills?

In Intelligent Tutoring Systems (pp. 90–100).

Toward Legal Argument Instruction with Graph Grammars and Collaborative Filtering Techniques

In Intelligent Tutoring Systems (pp. 227–236).

Implicit Versus Explicit Learning of Strategies in a Non-procedural Cognitive Skill

In Intelligent Tutoring Systems (pp. 521–530).