Bio
Jechun An is a postdoctoral scholar at Stanford University. Dr. An began his education career as a tenured elementary teacher in a rural area of Korea. After that, He worked as a secondary school principal qualification program coordinator at the National Academy for Educational Administrators at Seoul National University in Korea. Until 2024, He was a lab manager of a federally funded project (The Early Writing Project) to provide professional development for elementary teachers who have students with difficulties in writing. He served as a Post-Doctoral Associate at the Department of Educational Psychology, University of Minnesota, Twin-Cities (2024-2026). His major role was managing the data for two federally funded (Institute of Education Sciences; IES) projects that entail large-scale efficacy trials of educational technology focusing on literacy and mathematics.
Dr. An's research focuses on integrating literacy assessment into data-informed instructional systems to support teachers working with students who experience significant difficulties in literacy (reading and writing) and language. Ultimately, Dr. An's research goal is to develop equitable and instructionally useful approaches that improve literacy outcomes for diverse learners. He is currently involved in projects related to AI-supported coaching model development in Language to Literacy Research Lab (https://langlitlab.stanford.edu/) and computer-adaptive assessment of language and literacy skills (https://roar.stanford.edu/).
Honors & Awards
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Lynn S. Fuchs Early Career Publication Award, Council for Exceptional Children Division for Research (CEC-DR) (2026)
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Semi-Finalist, NAEd/Spencer Postdoctoral Fellowship (2026)
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Outstanding Researcher Award, Council for Learning Disabilities (CLD) (2025)
Professional Education
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Doctor of Philosophy, University of Minnesota Twin Cities (2024)
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Master of Arts, Seoul National University (2020)
Research Interests
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Achievement
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Assessment, Testing and Measurement
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Elementary Education
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Learning Differences
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Literacy and Language
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Special Education
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Teachers and Teaching
Lab Affiliations
All Publications
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Instructional Decision-Making for Students With Intensive Early Writing Needs: Student Growth in Sentence-Level Curriculum-Based Measurement
JOURNAL OF LEARNING DISABILITIES
2026: 222194261450144
Abstract
Instructional decision-making is a defining feature of data-based individualization (DBI) for students with intensive learning needs, yet its added value in facilitating growth in writing remains underexplored. This study examined sentence-level writing growth among 38 elementary students with early writing needs who received DBI support. Students completed weekly progress monitoring over 14 weeks, and teachers made instructional decisions at Week 8. Using piecewise linear-linear mixed-effects modeling, we compared growth rates before and after this decision point. Overall, students improved in sentence-level writing, but growth did not significantly accelerate after Week 8 when analyzed as a group. With respect to instructional decision type (e.g., with and without instructional change), students whose teachers made instructional changes began with slower initial growth but accelerated after Week 8, whereas those whose teachers continued instruction (with or without raising the long-term goal) started with faster initial growth but showed sustained or slightly decelerated growth. These findings underscore the importance of timely instructional modifications for students with inadequate initial progress.
View details for DOI 10.1177/00222194261450144
View details for Web of Science ID 001779431700001
View details for PubMedID 42216845
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Understanding individual and media differences in kindergarteners' video-based inference-making
LEARNING AND INDIVIDUAL DIFFERENCES
2026; 128
View details for DOI 10.1016/j.lindif.2026.102906
View details for Web of Science ID 001721196600001
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Measurement of Fidelity in Coaching-Based Professional Development: A Scoping Review
JOURNAL OF EDUCATIONAL AND PSYCHOLOGICAL CONSULTATION
2026
View details for DOI 10.1080/10474412.2026.2626907
View details for Web of Science ID 001682743200001
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Examining Measures and Methods for Determining Students' Responsiveness to Data-Based Early Writing Instruction
SCIENTIFIC STUDIES OF READING
2026; 30 (3): 277-302
View details for DOI 10.1080/10888438.2026.2618101
View details for Web of Science ID 001665794200001
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Exploring latent writing profiles and their connection to intervention responsiveness
LEARNING AND INDIVIDUAL DIFFERENCES
2025; 124
View details for DOI 10.1016/j.lindif.2025.102790
View details for Web of Science ID 001578782600003
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Optimizing Assessment Thresholds of a Computer Gaming Intervention for Students with or at Risk for Mathematics Learning Disabilities: Accuracy and Response Time Trade-Offs
EDUCATION SCIENCES
2025; 15 (12)
View details for DOI 10.3390/educsci15121660
View details for Web of Science ID 001646385400001
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Supporting Teachers' Data-Based Individualization of Early Writing Instruction: An Efficacy Trial.
Journal of learning disabilities
2025; 58 (4): 287-303
Abstract
In a multiyear, multisite, randomized control trial, we examined the effects of comprehensive professional development designed to support teachers' data-based instruction (DBI) for students with intensive early writing needs. Teachers (N = 154; primarily special educators or intervention specialists) were assigned randomly to a treatment group (n = 76), in which they received tools, learning, and coaching to support their DBI implementation over 20 weeks, or to a control group (n = 78). Students either received DBI in early writing (n = 155) from treatment teachers or their usual writing instruction (n = 154) from control teachers. Treatment teachers outperformed controls on measures of DBI knowledge and skills (d = 1.57) and self-efficacy for writing instruction (d = .94), and treatment students outperformed controls on proximal and distal writing outcomes (ds = .14-.29). Student characteristics (grade, special education status, English learner status, and race/ethnicity) did not moderate intervention effects. We discuss findings in terms of the importance of supporting students with intensive learning needs, the efficacy and feasibility of implementing DBI-TLC, and implications for pre- and in-service teacher training and support.
View details for DOI 10.1177/00222194241300324
View details for PubMedID 39648409
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Exploring Predictors of Teachers' Sustained Use of Data-Based Instruction.
Journal of learning disabilities
2025; 58 (1): 19-32
Abstract
The purpose of this logistic regression study was to identify predictors of teacher-reported sustained use of data-based instruction (DBI) during the COVID-19 pandemic and assess the extent to which the identified predictors explained teachers' sustained use after completing programmatic support for intensive early writing instruction. We surveyed 58 teachers who participated in a professional development efficacy trial regarding their sustained use of DBI in writing. The model indicated a higher predicted probability of sustaining DBI for teachers who received the full treatment (tools, learning modules, and coaching for 20 weeks of intervention during their year of participation in the efficacy trial) compared to teachers in the control group who only received tools and learning modules at the end of their participation year. In addition, teachers who taught in-person were more likely to sustain compared to those who taught in remote or hybrid models, controlling for other variables. Furthermore, as the number of facilitators that teachers reported increased, teachers were more likely to sustain their use of DBI components, controlling for other variables. Further research could shed light on the relative impact of different types of facilitators and different levels of support.
View details for DOI 10.1177/00222194241275636
View details for PubMedID 39291845
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Ongoing Teacher Support for Data-Based Individualization: A Meta-Analysis and Synthesis.
Journal of learning disabilities
2025; 58 (1): 3-18
Abstract
Although data-based individualization (DBI) has positive effects on learning outcomes for students with learning difficulties, this framework can be difficult for teachers to implement due to its complexity and contextual barriers. The first aim of this synthesis was to investigate the effects of ongoing professional development (PD) support for DBI on teachers' DBI knowledge, skills, beliefs, and fidelity and the achievement of preschool to Grade 12 students with academic difficulties. The second aim was to report on characteristics of this support and explore whether features were associated with effects. We identified 26 studies, 16 and 22 of which examined teacher and student outcomes, respectively. Meta-analyses indicated that the weighted mean effect size for DBI with ongoing support for teachers was g = 0.86 (95% confidence interval [CI] = [0.43, 1.28], p < .001, I2 = 83.74%, k = 46) and g = 0.31 for students (95% CI = [0.19, 0.42], p < .001, I2 = 61.38%, k = 103). We did not identify moderators of treatment effects. However, subset effects were descriptively larger for ongoing support that targeted data-based instructional changes or included collaborative problem-solving. Researchers may improve future DBI PD by focusing on support for teachers' instructional changes, describing support practices in greater detail, and advancing technological supports.
View details for DOI 10.1177/00222194241271335
View details for PubMedID 39238247
View details for PubMedCentralID PMC11636021
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Dynamic Assessment to Assess Mathematical Problem Solving of Students with Disabilities
EDUCATION SCIENCES
2025; 15 (4)
View details for DOI 10.3390/educsci15040419
View details for Web of Science ID 001474844200001
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Implementation Drivers of Data-Based Instruction for Students With Intensive Learning Needs: A Systematic Review.
Journal of learning disabilities
2024; 57 (5): 291-302
Abstract
Despite decades of research efforts, data-based instruction (DBI) for students with intensive intervention needs are not being widely used in practice as anticipated, and many educators have difficulties in implementing it. This systematic review aimed to examine what kinds of implementation drivers and strategies have been used to support educators implementing DBI and what kinds of implementation outcomes researchers have measured. Eighteen studies were synthesized using the Implementation Drivers framework and Implementation Outcomes taxonomy and were quality appraised. We found that the majority of studies primarily used competency drivers to increase teachers' DBI expertise, while a limited number of studies focused on organizational and leadership drivers. Acceptability and fidelity were frequently assessed as implementation outcomes. We discussed the implications of the findings, including the need for researchers to incorporate implementation drivers and outcomes at diverse levels to best support educators' implementation of DBI, as well as the limitations of this review, such as the limited generalizability of the findings.
View details for DOI 10.1177/00222194231220070
View details for PubMedID 38158822
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Data based individualization in early writing: the importance and measurement of implementation fidelity
FRONTIERS IN EDUCATION
2024; 9
View details for DOI 10.3389/feduc.2024.1380295
View details for Web of Science ID 001352801200001
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Effects of interventions using graphic organizer in Korea: a meta-analysis
ASIA PACIFIC EDUCATION REVIEW
2024; 25 (5): 1433-1449
View details for DOI 10.1007/s12564-024-09965-2
View details for Web of Science ID 001233745300001
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Peer relationship instructions in inclusive educational settings in Korea: a meta-analysis
ASIA PACIFIC EDUCATION REVIEW
2025; 26 (2): 429-443
View details for DOI 10.1007/s12564-024-09971-4
View details for Web of Science ID 001228214300001
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Longitudinal Effects of Data-Based Instructional Changes for Students With Intensive Learning Needs: A Piecewise Linear-Linear Mixed-Effects Modeling Approach
JOURNAL OF EDUCATIONAL PSYCHOLOGY
2024; 116 (4): 608-628
View details for DOI 10.1037/edu0000853
View details for Web of Science ID 001327860000008
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Effects of writing instruction on the reading outcomes of students with literacy difficulties in pre-kindergarten to fifth grade: a meta-analysis
READING AND WRITING
2025; 38 (3): 627-650
View details for DOI 10.1007/s11145-024-10527-6
View details for Web of Science ID 001194948500001
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Monitoring Elementary Students' Progress Using Word Dictation: Technical Features of Slope and Growth Analysis
ASSESSMENT FOR EFFECTIVE INTERVENTION
2023; 48 (4): 201-210
View details for DOI 10.1177/15345084231182718
View details for Web of Science ID 001018429200001
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The quality and effectiveness of Social-Emotional Learning (SEL) intervention studies in Korea: A meta-analysis.
PloS one
2022; 17 (6): e0269996
Abstract
Social-emotional learning (SEL) is an educational model for improving social-emotional competences of all students and a long-term education program connecting school, home, and community. Although there has been active research to establish evidence-based practice (EBP) of SEL programs worldwide, the quality of SEL intervention studies which is an integral part of evaluating EBP was rarely investigated. In addition, prior meta-analytic studies focused only on the effectiveness of SEL programs conducted in Western society. In this sense, in order to contribute to establishing EBP of SEL programs, the current research sought to analyze both quality and effectiveness of SEL intervention studies conducted in Korea where SEL has been investigated and applied in classroom since 2010. To conduct this study, we selected 22 peer-reviewed articles (about 23 SEL programs) and analyzed their quality by Evidence-Based Intervention (EBI) indicators and calculated effect sizes using a meta-analysis. The results of the quality analysis revealed that SEL intervention studies had some limitations with a statistical analysis, use of measurement, a control group design, intervention fidelity, and external validity. The global effect size of SEL programs was 0.27, and the results from the effect size analyses by controlling variables showed that group compositions, the number of sessions, and session length were accountable for the variability of effect sizes. Based on these findings, we discussed the directions for future research and practice on the EBP of SEL programs that can be appreciated by researchers worldwide.
View details for DOI 10.1371/journal.pone.0269996
View details for PubMedID 35749356
View details for PubMedCentralID PMC9231796
https://orcid.org/0000-0003-1746-4154