Totals
- Total revenue
- $1,150,141
- Total expenses
- $1,286,492
- Contributions and grants received
- $1,110,949
- Grants paid
- $0
- Program service revenue
- $19,266
- Investment income
- $19,926
- Other revenue
- $0
- Total assets, end of year
- $2,814,970
- Total liabilities, end of year
- $1,208,019
- Net assets or fund balances, end of year
- $1,606,951
- Program services expenses (Part IX)
- $1,128,801
- Management and general expenses
- $157,691
- Fundraising expenses
- $0
- Program service expenses (Part III)
- $1,128,801
Program services were 87.7% of total expenses calculated — Part IX's program-services column over total expenses, both as filed.
Line items
Every line the filer filed in Parts VIII, IX and X, as filed and in filed order. Blank columns are left out, and the lines are not forced to add up to the totals above.
Revenue
Part VIII, the statement of revenue.
-
1f · All other contributions, gifts and grants
$1,110,949
-
2a · Program service revenue: Online Courses
total $3 · related or exempt $3
-
2b · Program service revenue: Program Service Contracts
total $19,263 · related or exempt $19,263
-
3 · Investment income
total $19,926 · excluded $19,926
-
4 · Income from investment of tax-exempt bond proceeds
total $0
-
5 · Royalties
total $0
-
6d · Net rental income or loss
total $0
-
7d · Net gain or loss
total $0
-
8c · Net income from fundraising events
total $0
-
9c · Net income from gaming
total $0
-
10c · Net income from sales of inventory
total $0
-
11e · Other revenue, total
$0
Functional expenses
Part IX, the statement of functional expenses.
-
1 · Grants to domestic organizations and governments
total $0
-
2 · Grants to domestic individuals
total $0
-
3 · Grants to foreign organizations and individuals
total $0
-
4 · Benefits paid to or for members
total $0
-
5 · Compensation of officers, directors and key employees
total $99,171 · program services $89,254 · management and general $9,917
-
6 · Compensation of disqualified persons
total $0
-
7 · Other salaries and wages
total $196,504 · program services $165,028 · management and general $31,476
-
8 · Pension plan contributions
total $10,319 · program services $8,796 · management and general $1,523
-
9 · Other employee benefits
total $14,208 · program services $9,802 · management and general $4,406
-
10 · Payroll taxes
total $23,303 · program services $20,214 · management and general $3,089
-
11a · Fees: management
total $0
-
11b · Fees: legal
total $1,842 · program services $878 · management and general $964
-
11c · Fees: accounting
total $24,000 · management and general $24,000
-
11d · Fees: lobbying
total $0
-
11e · Fees: professional fundraising services
total $0
-
11f · Fees: investment management
total $0
-
11g · Fees: other
total $861,098 · program services $789,847 · management and general $71,251
-
12 · Advertising and promotion
total $435 · program services $435
-
13 · Office expenses
total $1,143 · program services $930 · management and general $213
-
14 · Information technology
total $9,251 · program services $6,697 · management and general $2,554
-
15 · Royalties
total $0
-
16 · Occupancy
total $0
-
17 · Travel
total $5,007 · program services $4,815 · management and general $192
-
18 · Travel or entertainment for public officials
total $0
-
19 · Conferences, conventions and meetings
total $350 · program services $350
-
20 · Interest
total $0
-
21 · Payments to affiliates
total $0
-
22 · Depreciation, depletion and amortization
total $0
-
23 · Insurance
total $8,222 · program services $538 · management and general $7,684
-
24a · Other expenses: Dues and other charges
total $31,201 · program services $31,017 · management and general $184
-
24b · Other expenses: Miscellaneous Expense
total $438 · program services $200 · management and general $238
-
24e · All other expenses
total $0
Balance sheet
Part X, book values.
-
1 · Cash, non-interest-bearing
beginning of year $2,165,177 · end of year $1,101,663
-
2 · Savings and temporary cash investments
end of year $819,926
-
3 · Pledges and grants receivable
beginning of year $60,081 · end of year $892,336
-
4 · Accounts receivable
end of year $0
-
5 · Loans and receivables from officers and key people
end of year $0
-
6 · Loans and receivables from disqualified persons
end of year $0
-
7 · Other notes and loans receivable
end of year $0
-
8 · Inventories for sale or use
end of year $0
-
9 · Prepaid expenses and deferred charges
beginning of year $655 · end of year $1,045
-
10c · Land, buildings and equipment, net
end of year $0
-
11 · Investments: publicly traded securities
end of year $0
-
12 · Investments: other securities
end of year $0
-
13 · Investments: program-related
end of year $0
-
14 · Intangible assets
end of year $0
-
15 · Other assets
end of year $0
-
17 · Accounts payable and accrued expenses
beginning of year $87,101 · end of year $66,200
-
19 · Deferred revenue
beginning of year $395,510 · end of year $1,141,819
-
27 · Net assets without donor restrictions
beginning of year $441,075 · end of year $587,581
-
28 · Net assets with donor restrictions
beginning of year $1,302,227 · end of year $1,019,370
Mission and programs · 2023
Mission
The learning agency lab seeks to improve the effectiveness of k-16 education, especially for historically marginalized populations, by creating free or at-cost resources that are aligned to the science of learning.
Activities or mission (Part I)
The Learning Agency Lab is focused on developing science of learning-based tools and programs for the social good. We help educators, researchers and others to understand the science of learning and how students can learn how to learn better.
-
In the 2023 fiscal year, The Learning Agency Lab continued to build momentum in advancing educational technology through data science competitions and community engagement. By September, the Lab successfully launched three major competitions in the Open Data Assessment Fund (ODAF) series, which focused on improving educational outcomes through cutting-edge algorithm development.The first competition, The Quest for Quality Questions: Improving Reading Comprehension through Automated Question Generation, concluded in March 2023. This competition attracted 10 teams, with over 40 participants from around the world. The challenge addressed a critical issue in assessing student reading comprehension by developing models that automatically generate comprehension questions. These models, trained on a dataset of childrens storybooks, demonstrated the ability to produce human-like fluency in question generation, which presents a significant advancement in AI-supported education. By helping educators save time, these tools have the potential to broaden the range of texts students can engage with.In June 2023, the second competition, Predict Student Performance from Game Play, concluded with over 2,000 participants submitting 54,000 entries. Using data from the educational game Jo Wilder and the Capitol Case, this competition focused on advancing knowledge tracing to predict how students learn and perform in educational games. The top-scoring model provided accurate predictions of student success, surpassing human capabilities and paving the way for improved educational game development, targeted interventions, and real-time feedback for educators.The third competition, CommonLit - Evaluate Student Summaries, completed in October 2023. With 2,450 participants and nearly 45,000 entries, it focused on creating models that automatically assess student-written summaries for grades 3-12. The models, developed for both traditional accuracy and computational efficiency, make them suitable for low-resource environments. These models enable teachers to efficiently evaluate students summarization skills, encouraging more frequent use of this important instructional strategy by reducing grading burdens.The Lab also strengthened its engagement with stakeholders by establishing a Teacher Advisory Board, which provided critical feedback for refining competition ideas. The Board consisted of five teachers from a range of grades between K-12 and teach a variety of subjects. Several of the teachers work with low-income students or English Language Learners as well. Their interests, feedback, and ideas drove discussion and goals for many of the data science competitions this year and helped set the stage for next year. For instance, the overwhelming support for an AI detection tool led to a 2024 AI Writing Detection competition. The Lab has also forged strong relationships with vendors to maximize the real-world impact of its work. For example, the algorithms from the Jo Wilder competition were shared with one of the top educational gaming platforms in the U.S., demonstrating the Labs growing influence on the broader educational technology landscape. The Lab hopes to see the algorithm integrated into their future games to provide further insights during gameplay.In alignment with its mission to promote innovation and make data more accessible, the Lab launched the Learning Exchange platform in 2023. This platform hosts datasets and winning algorithms from completed competitions, making them available for public use and encouraging further research and development. Researchers have already begun utilizing the Exchange, with one standout example being a winning team from The Quest for Quality Questions competition whose paper was recognized at the 2023 BAE conference.Beyond its competitions, the Lab continues to foster the learning engineering community through its Learning Engineering Ambassador and Internship programs. The Ambassador Program ran a spring cohort, with one ambassador continuing in the fall. The program engaged students with a diverse range of educational interests, from K-12 learning to adult education. The ambassadors each hosted multiple events, demonstrating the broad scope and relevance of learning engineering. Additionally, the third cohort of the Learning Engineering Internship Program launched in spring 2023, providing undergraduate, graduate, and PhD students the opportunity to work with university labs and education-focused organizations. The interns contributed to a wide range of projects, from research to data visualization and coding, further advancing the Labs mission of empowering the next generation of learning engineers.Overall, the Labs efforts in 2023 significantly advanced AI and data science in education. These competitions and initiatives have produced valuable tools for educators and students alike, while also fostering a growing global community of learning engineers. With plans for future competitions and partnerships, the Lab is positioned for even greater impact in the coming year.
Expenses $1,128,801 · Revenue $19,266
As filed on the 2023 return.
Listed in Part VII
-
Perpetual Baffour
Data Scientist
- Total calculated
- $116,887
- From this org
- $105,553
- From related orgs
- $0
- Other
- $11,334
- Hours/week
- 40
-
Ulrich Boser
CEO
- Total calculated
- $99,171
- From this org
- $84,992
- From related orgs
- $0
- Other
- $14,179
- Hours/week
- 20
-
Kenneth Stern
President
- Total calculated
- $0
- Hours/week
- 1
-
David Domenici
Treasurer
- Total calculated
- $0
- Hours/week
- 1
-
Gabriela Lopez
Director
- Total calculated
- $0
- Hours/week
- 1
Compensation is as filed in Part VII: reportable pay from this organization and from related organizations, other compensation, and hours per week. The total, marked calculated, is our sum of the three dollar columns, with a blank column counted as $0; the form itself has no total. On a Form 990-EZ the columns are Part IV's instead, and on a Form 990-PF Part VIII's — compensation, contributions to benefit plans, and expense account — and the total sums those.
Grants on this return
No itemized grants to organizations on this return.
Provenance
- Return type
- form_990
- Tax year
- 2023
- Filed
- 14 November 2024
- IRS schema version
- 2023v5.1
- Source object
- 202413199349318811
Check it against the return as filed: the GivingTuesday Data Lake hosts a public copy of the original XML.
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