Analysis of Patterns in Time: Research and Demonstrations

New Book

Innovative Learning Analytics for Evaluating Instruction: A Big Data Roadmap for Effective Online Learning (2022, Routledge Focus Series Book).

New Featured Research Publication

Analysis of Patterns in Time for Evaluating Effectiveness of First Principles of Instruction (SharedIt, 2022): https://doi.org/10.1007/s11423-021-10077-6

Recent Presentations

Frick, T. (2022, Oct.). Analysis of Patterns in Time (APT): A Fruitful Methodology for Investigating Learning Journeys in Education. At the annual conference of the Association of Educational Communications and Technology, Las Vegas, NV.

Frick, T. (2022, Oct.). MOOC Turns 20 Years Old: How to Recognize Plagiarism. At the annual conference of the Association of Educational Communications and Technology, Las Vegas, NV.

Frick, T. (2022, May). Analysis of Patterns in Time for Evaluating Effectiveness of First Principles of Instruction (video recording). Virtual presentation to the 4th Annual Learning Analytics Summit.

Frick, T., Myers, R., & Dagli, C. (2021, Nov.). Innovative Learning Analytics for Evaluating Effectiveness of First Principles of Instruction. Featured Research Paper, at the annual conference of the Association of Educational Communications and Technology, Chicago, IL.

Frick, T., Dagli, C., & Myers, R. (2021, Nov.). Analysis of Patterns in Time:  Innovative Learning Analytics with Google Analytics 4. At the annual conference of the Association of Educational Communications and Technology, Chicago, IL.

Overview of APT: Analysis of Patterns in Time

Analysis of Patterns in Time (APT): A Method of Recording and Quantifying Temporal Relations in Education (Frick, 1990).

Nonmetric Temporal Path Analysis: foundations for APT (Frick, 1983).

Using Pattern Matching to Assess Gameplay (Myers & Frick, 2015)

Video Demonstrations of APT with Google Analytics for AECT Showcase on Innovative Technologies (Frick, 2021, Nov.)