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Steffen Steinert; Lars Krupp; Karina E. Avila; Anke S. Janssen; Verena Ruf; David Dzsotjan; Christian De Schryver; Jakob Karolus; Stefan Ruzika; Karen Joisten; Paul Lukowicz; Jochen Kuhn; Norbert Wehn; Stefan Küchemann – Education and Information Technologies, 2025
As distance learning becomes increasingly important and artificial intelligence tools continue to advance, automated systems for individual learning have attracted significant attention. However, the scarcity of open-source online tools that are capable of providing personalized feedback has restricted the widespread implementation of…
Descriptors: Higher Education, Open Educational Resources, STEM Education, Feedback (Response)
Panidnad Chulerk; Supachanin Duangchinda Sathianpan; Jintavee Khlaisang – rEFLections, 2025
This research endeavors to assess the efficacy of Mobile Assisted Language Learning (MALL) in elevating students' English proficiency to the Common European Framework of Reference (CEFR) B1 level. The study involves identifying the most suitable mobile application for formative assessment, implementing it to enhance students' English competency,…
Descriptors: Formative Evaluation, Computer Assisted Instruction, Teaching Methods, Telecommunications
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