Francis A.

Key Skills

Software

Appen

Label Studio

Doccano

Scale AI

Top Subject Matter

Educational technology / virtual internships (higher education research)

Educational technology / biometric attendance systems (higher education research)

Educational technology / digital transformation in higher education (ICT research)

Top Data Types

Text

Document

Top Task Types

Data Collection

Transcription

Text Summarization

Evaluation/Rating

Question Answering

Text Generation

Classification

Freelancer Overview

Independent/Lead Researcher — Quantitative survey on virtual internship program satisfaction. Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include IBM SPSS, SPSS, and Jamovi. Education includes Higher National Diploma, Sunyani Technical University (2021). AI-training focus includes data types such as Text and labeling workflows including Data Collection.

Labeling Experience

Independent Research Project — AI-powered learning tools adoption survey

TextData Collection

Conducting an independent quantitative study on factors influencing students’ use of AI-powered learning tools in tertiary institutions. The work involved creating a structured questionnaire, administering a cross-sectional survey, and analyzing how TAM and privacy-related constructs predict adoption. Statistical modeling included testing moderation effects and drafting findings for journal submission. • Designed and implemented a quantitative cross-sectional survey of 350 tertiary students • Developed Likert-scale measures of perceived usefulness/ease of use, trust, privacy concerns, integrity concerns, and intention to use AI tools • Applied TAM and Privacy Calculus Theory and ran analyses in Jamovi (regression and moderation) • Interpreted adoption results regarding limited explanatory power of traditional variables where AI is widely used

2026 - Present

Independent Research Project — Survey on problem-solving skills and STEM academic performance

TextData Collection

Conducting an independent quantitative cross-sectional survey study on the relationship between metacognitive problem-solving skills and academic performance in STEM. The experience involved questionnaire development, pilot testing with reliability analysis, stratified sampling, and statistical analysis of large-scale survey data. The role also included interpreting findings within theoretical frameworks and preparing a manuscript for peer-reviewed submission. • Designed a cross-sectional survey with stratified random sampling across 18 schools (N=1,000) • Developed and validated a structured questionnaire measuring planning, monitoring, and evaluation dimensions • Conducted pilot testing and reliability analysis (Cronbach’s α=0.83) • Analyzed data in Jamovi (descriptive stats, t-tests, correlation, regression) and interpreted weak predictive relationships for STEM performance

2026 - Present

Independent Researcher — Equity and inclusion survey across Ghanaian universities

TextData Collection

Led a quantitative research project investigating equity and inclusion in higher education in Ghana across public and private universities. The study required piloting and administering a standardized questionnaire, coordinating online and in-person data collection, and analyzing responses to compare group-level perceptions and the effects of targeted inclusion measures. Ethical compliance through informed consent and confidentiality was maintained throughout. • Designed and pilot-tested a structured questionnaire collecting data from 800 undergraduates across six universities • Coordinated mixed-mode data collection (online/in-person) to ensure regional and disciplinary representativeness • Performed statistical analyses in Jamovi (e.g., MANCOVA, ANCOVA, regression) • Compared public vs private institutions and drafted policy recommendations to strengthen equity and inclusion

2025 - Present

Independent Researcher — Quantitative study on digital transformation (ICT access/utilization/policy)

TextData Collection

Designed and implemented a quantitative cross-sectional survey study examining digital transformation in higher education in Ghana. The work involved instrument development with Likert-scale items, coordination of data collection across regions and institution types, and statistical analysis of ICT access, utilization, and policy challenges. Outputs included manuscript writing and theoretical interpretation. • Designed a quantitative cross-sectional survey grounded in Digital Divide, TAM, and Institutional Theory • Developed and validated a structured 5-point Likert questionnaire for ICT access and utilization • Coordinated data collection across public/private tertiary institutions in multiple zones and settings • Cleaned and analyzed a dataset of 800 responses using Jamovi, producing manuscript-ready findings

2024 - 2025

Independent Researcher — Quantitative study on biometric attendance effectiveness

TextData Collection

Conducted a quantitative research study on the role of biometric systems in enhancing student attendance tracking in tertiary institutions. The project required designing cross-sectional research materials, collecting primary multi-stakeholder survey data, and performing coding and statistical testing to evaluate adoption and post-adoption effectiveness. Ethical compliance and manuscript preparation were integral to the process. • Designed a quantitative cross-sectional framework for attendance-tracking systems in higher education • Developed and validated structured Likert-scale questionnaires aligned with UTAUT and ISSM constructs • Collected primary data from students, faculty, and administrators across tertiary institutions (N=600) • Coded, cleaned, and analyzed survey data using SPSS/Jamovi to compare biometric vs traditional attendance and interpret results

2024 - 2025

Show more

Education

Work History