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Exploring a Cyborg Space in Education: Bibliographic and Metaphor Analysis of Educational Psychology and Artificial Intelligence Studies

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Byoung-gyu Gong

Byoung-gyu Gong

Research Assistant / PhD Candidate

Mary Lou Fulton Teachers College

Arizona State university

Biography

Byoung-gyu Gong is a Ph.D. candidate of the educational policy and evaluation program at Arizona State University. He studies the intersection of artificial intelligence(AI) and education. Using the citation network and topic modeling analysis method, he explores how this new technological advancement shapes new educational policy and practice ground. He is also interested in educational data analytics using educational & learning big data and international large-scale assessment data.

Interests

  • AI and education
  • Educational (big) data mining
  • Educational policy analytics
  • Online learning data analytics
  • Textual analysis of documents
  • Citation network analysis
  • Comparative education
  • International large-scale assessment(ILSA)

Education

  • Ph.D in Educational Policy and Evaluation (EPE), May 2021 (expected)

    Arizona State University

  • M.A. in Global Education Cooperation, 2015

    Seoul National University

Projects

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All Citation Network Analysis OECD PISA Topic Modeling

Dissertation Research Project: Overview

Dissertation research project using citation network analysis method.

Recent Posts

Learning Analytics: Is Underrepresented Students Group Performing Well?

1. Learning Analytics Learning analytics is a computational approach analyzing large-sized students’ learning and education data. It became pretty much popular as the online learning and digitized school administrative platforms produce an infinite stream of students’ data daily.
Last updated on Mar 1, 2021 9 min read R

Analyzing Nested Data: Comparing Multiple Approaches

1. What is Nested Data Not all data is created to be independent. We often find that the real world data does not meet the strict statistical presumption that each observation should be independent and identically distributed, so-called iid.
Last updated on Dec 10, 2020 8 min read Hierchical linear model (HLM), Multilevel analysis, R

Why is PISA Difficult to Analyze

By Byoung-gyu Gong   1. What is ILSA and PISA International large-scale assessment (ILSA) is conducted regularly by international organizations to measure and compare many different countries’ educational performance and status.
Last updated on Oct 10, 2020 9 min read Educational data analytics, International large-scale assessment, Multilevel analysis

Student contact network at school: Spread of the virus

By Byoung-gyu Gong  Pandemic and School Reopening Issue With an outbreak of the COVID-19 pandemic, there is increasing attention to the school closer issue. Many countries implemented a strict lock-down to slow down the spread of the virus, but this came at the expense of losing our children’s learning opportunity.
Last updated on Oct 4, 2020 13 min read R, Network analysis

Temporal network simulation: Albert-Barabasi model

By Byoung-gyu Gong Theory Albert-Barabasi model is well-known network generation method, adding new vertices at each time steps. The connections added to the existing vertices at each time are proportional to the degree of the given vertice.
Last updated on Oct 3, 2020 6 min read R, Network analysis