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Data from the Efficacy Study of From Here to There! A Dynamic Technology for Improving Algebraic Understanding Cover

Data from the Efficacy Study of From Here to There! A Dynamic Technology for Improving Algebraic Understanding

Open Access
|Apr 2023

Figures & Tables

jopd-11-87-g1.png
Figure 1

FH2T start screen (left) and a sample problem in FH2T (right).

jopd-11-87-g2.png
Figure 2

Study Design of the FH2T Efficacy Study.

jopd-11-87-g3.png
Figure 3

FH2T Efficacy Study Procedure.

Table 1

Student Demographic Information by Condition (N = 4,092).

FULL SAMPLE
N = 4,092 (100%)
FH2T
N = 1,649 (40.3%)
DRAGONBOX
N = 854 (20.9%)
ASSISTMENTS-IMMEDIATE FEEDBACK
N = 795 (19.4%)
ASSISTMENTS-ACTIVE CONTROL
N = 794 (19.4%)
Gender
    Male2,133
(52.1%)
867
(52.6%)
451
(52.8%)
400
(50.3%)
415
(52.3%)
    Female1,954
(47.8%)
782
(47.4%)
401
(47.0%)
394
(49.6%)
377
(47.5%)
    Not reported5
(0.1%)
2
(0.2%)
1
(0.1%)
2
(0.2%)
Race/Ethnicity
    White2,088
(51.0%)
821
(49.8%)
431
(50.5%)
429
(54.0%)
407
(51.3%)
    Asian1,024
(25.0%)
410
(24.8%)
209
(24.5%)
197
(24.8)
208
(26.2%)
    Hispanic617
(15.1%)
270
(16.4%)
140
(16.4%)
98
(12.3%)
109
(13.7%)
    Black200
(4.9%)
83
(5.0%)
38
(4.4%)
44
(5.5%)
35
(4.4%)
    Native American26
(0.6%)
11
(0.7%)
5
(0.6%)
3
(0.4%)
7
(0.9%)
    Pacific Islander2
(0.1%)
1
(0.1%)
1
(0.1%)
    Multi-racial135
(3.3%)
54
(3.3%)
30
(3.5%)
24
(3.0%)
27
(3.4%)
Accelerated math class720
(17.6%)
283
(17.2%)
147
(17.2%)
146
(18.4%)
144
(18.1%)
Gifted627
(15.3%)
262
(15.9%)
119
(13.9%)
122
(15.3%)
124
(15.6%)
EIP291
(7.1%)
114
(6.9%)
58
(6.8%)
59
(7.4%)
60
(7.6%)
IEP463
(11.3%)
188
(11.4%)
132
(15.5%)
76
(9.6%)
67
(8.4%)
ESL372
(9.1%)
164
(9.9%)
77
(9.0%)
57
(7.2%)
74
(9.3%)
Virtual1,618
(39.5%)
650
(39.4%)
331
(38.8%)
319
(40.1%)
318
(40.1%)

[i] Note: EIP = Early Intervention Program is designed for students who need extra support to meet academic grade level, IEP = Individualized Education Program is designed for students with disabilities or special health care needs, ESL = English as Second Language.

jopd-11-87-g4.png
Figure 4

A sample problem and students’ actions in From Here to There!.

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Figure 5

A sample problem in ASSISTments.

jopd-11-87-g6.png
Figure 6

Sample problems in DragonBox (used with permission by Kahoot!).

jopd-11-87-g7.png
Figure 7

Sample items in the first (a) and second (b) part of the Perceptual Math Equivalence Task.

Table 2

The list of the survey instruments and the location of the instrument files.

MEASURESNUMBER OF ITEMSLINK TO THE FILESLOCATION AND THE FILE NAME ON THE OSF PAGE
Algebraic Knowledge10https://osf.io/uenvg1. Problem list and assessment items/Assessment items.pdf
Perceptual Processing Skills16https://osf.io/r47ev1. Problem list and assessment items/Perceptual sensitivity task_items.pdf
Math anxiety and Math self-efficacy14https://osf.io/rq9d81. Problem list and assessment items/Math_Anxiety_Math Self-Efficacy_items.pdf
Table 3

Descriptions of each table.

CSVCONTENTSSTRUCTURE
student*Note: Fully de-identified.
student_demo
(student_demo.csv)
Data provided by the district on students’ demographics (race/ethnicity, gender, IEP, etc.)one row per student
student_roster
(student_roster.csv)
Data provided by the district on students’ school, teacher, class, impersonal or virtual status and movement between status during the year of the study. Data on students’ randomization and treatment status.one row per student
student_attendance
(student_attendance.csv)
Data provided by the district on students’ attendance for fifth, sixth, and seventh grade.one row per student
student_fidelity
(student_fidelity.csv)
Data on which of the 11 study assignments students started and completed. These data were captured by the ASSISTments system.one row per student
assessment
assess_student
(assess_student.csv)
Student performance data on pre, mid, post, and end-of-year assessments were captured in the ASSISTments system. Student state test scores provided by the district for fifth and seventh grade. (Note that the state test was not administered in 6th grade due to the COVID-19 pandemic.)one row per student
assess_student_problem
(assess_student_problem.csv)
Item level data on pre, mid, post, and end-of-year assessments captured in the ASSISTments system.one row per student (wide)
From Here To There (FH2T)
fh2t_problems_meta
(fh2t_problems_meta.csv)
Metadata on FH2T problems (problem equations and solutions, number of optimal steps, problem sequence, hints and instructional text, etc.)one row per problem
fh2t_student_action_logs
(fh2t_student_action_logs.csv)
Student action log data student (actions taken, response time, whether the action was valid mathematically or a mistake, the state of the equation before and after the action, etc.)one row per student action (long)
fh2t_student_problem_attempt
(fh2t_student_problem_attempt.csv)
Aggregated data on student problem attempts within FH2T (number of steps taken, number of hints requested, number of errors, etc.)one row per student per problem attempt (long)
fh2t_student_problem
(fh2t_student_problem.csv)
Aggregated data on student problems within FH2T including overall data on the problem (total time, number of attempts, number of replays, etc.) and data on students first, last and best attempt at the problem (number of steps taken, number of hints requested, number of errors, etc.)one row per student per problem (long)
fh2t_student
(fh2t_student.csv)
Aggregated data on student progress/performance within FH2T (Number of problems attempted, attempts per problem, total hints requested, etc.)one row per student
ASSISTments
assist_problems_meta
(assist_problems_meta.csv)
Metadata on ASSISTments problems (problem order, problem type, curriculum for which the problems were derived, etc.)one row per problem part
assist_student_action_logs
(assist_student_action_logs.csv)
Student action log data within ASSISTments (actions, response times, responses, etc.)one row per student action (long)
assist_student_problem
(assist_student_problem.csv)
Aggregated data on student problem attempts within ASSISTments (number of attempts, number of hints, accuracy, response times, etc.)one row per student per problem (long)
assist_student
(assist_student.csv)
Aggregated data on student progress and performance in ASSISTments (number of problems, total number of hints, accuracy, etc.)one row per student
DragonBox
dragon_student
(dragon_student.csv)
Aggregated data on student progress DragonBox (from devices)one row per student
dragon_session
(dragon_session.csv)
Self-report data on usage and progress in each sessionone row per student (wide)
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Figure 8

Data structures of three educational technologies and examples of the metrics.

DOI: https://doi.org/10.5334/jopd.87 | Journal eISSN: 2050-9863
Language: English
Published on: Apr 4, 2023
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2023 Erin Ottmar, Ji-Eun Lee, Kirk Vanacore, Siddhartha Pradhan, Lauren Decker-Woodrow, Craig A. Mason, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.