SOURCE-LINKED INTELLIGENCE
Artificial Intelligence-Generated Formative Assessment as a Predictor of Undergraduate Students' Academic Achievement in Chemistry: A Case Study of Ebonyi State University, Nigeria.
Zenodo (CERN European Organization for Nuclear Research) · Technology-Enhanced Education Studies
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- recordType
- paper
- evidenceStatus
- metadata-reported
- region
- Global
Evidence & attribution
- OpenAlex research metadata · 2026-09-19T00:00:00.000Z
- OpenAlex research metadata · 2026-09-19T00:00:00.000Z
Research metadata: OpenAlex (CC0). Original paper rights remain with its publisher.
First collected: 2026-09-20T23:22:28.549Z. This is not the publication date.
Research metadata
OpenAlex record ↗ · Metadata licensed CC0; paper rights are separate.
- Citations reported by OpenAlex
- 0
- Authors
- Ocheola Innocent Ewaoche; Dr. Ajah Doris Nnebuchi; Ejegwa Blessing Ene; Nwambe Lebechi Joseph; Elem Robinson Chidi
- Topic
- Technology-Enhanced Education Studies
- Venue
- Zenodo (CERN European Organization for Nuclear Research)
- Publication type
- article
- Retraction flag reported by OpenAlex
- Not flagged
Citation count and retraction flag reported by OpenAlex. Citations are not a quality score; affiliation countries are not study locations.