ERIC - Search Results

Publication Date

In 2026	0
Since 2025	1
Since 2022 (last 5 years)	1
Since 2017 (last 10 years)	2
Since 2007 (last 20 years)	2

Descriptor

Computer Assisted Instruction	2
Computer Software	2
Foreign Countries	2
Academic Achievement	1
Academic Failure	1
Access to Education	1
Artificial Intelligence	1
At Risk Students	1
Barriers	1
Computational Linguistics	1
Data Analysis	1
Decision Making	1
Educational Cooperation	1
Elementary School Teachers	1
Feedback (Response)	1
Formative Evaluation	1
French	1
Graphs	1
Guidelines	1
High School Students	1
Language Teachers	1
Management Systems	1
Models	1
Physics	1
Prediction	1
More ▼

Source

Australian Journal of Applied…	1
Education and Information…	1

Author

Abdelaziz Boumahdi	1
Abdelghani Es-Sarghini	1
Cherkaoui, Chihab	1
Er-Raha, Brahim	1
Mammass, Driss	1
Qazdar, Aimad	1

Publication Type

Journal Articles	2
Reports - Research	2

Education Level

Elementary Education	1
High Schools	1
Secondary Education	1

Audience

Location

Morocco

Laws, Policies, & Programs

Assessments and Surveys

What Works Clearinghouse Rating

Showing all 2 results Save | Export

Interactive eAssessment of Writing Competency in French as a Foreign Language: Development and Implementation of an AI-Enhanced Progress Monitoring System

Peer reviewed
PDF on ERIC

Download full text

Abdelghani Es-Sarghini; Abdelaziz Boumahdi – Australian Journal of Applied Linguistics, 2025

The assessment of writing competency in French as a Foreign Language presents significant challenges due to the multidimensional nature of writing and heterogeneous evaluation practices. This research introduces an innovative framework integrating artificial intelligence and interactive visualization to support the formative assessment of writing…

Descriptors: French, Second Language Learning, Second Language Instruction, Artificial Intelligence

A Machine Learning Algorithm Framework for Predicting Students Performance: A Case Study of Baccalaureate Students in Morocco

Peer reviewed

Direct link

Qazdar, Aimad; Er-Raha, Brahim; Cherkaoui, Chihab; Mammass, Driss – Education and Information Technologies, 2019

The use of machine learning with educational data mining (EDM) to predict learner performance has always been an important research area. Predicting academic results is one of the solutions that aims to monitor the progress of students and anticipates students at risk of failing the academic pathways. In this paper, we present a framework for…

Descriptors: Data Analysis, Academic Achievement, At Risk Students, High School Students