Collaborative and individual vocabulary learning in the Arabic classroom: The role of engagement and task demands

• Published in: Foreign language annals Vol. 55; no. 4; pp. 1006 - 1024
• Main Authors: Rabie‐Ahmed, Amr, Mohamed, Ayman
• Format: Journal Article
• Language: English
• Published: Alexandria Wiley 01.12.2022; American Council on the Teaching of Foreign Languages
• Subjects: Arabic; Arabic as a second language; Arabic language; Classrooms; Cognitive Processes; Collaborative learning; Control Groups; Cooperative Learning; Difficulty Level; Educational activities; Educational objectives; Electronic Learning; Feedback; Hypotheses; Instructional Effectiveness; involvement load; Learner Engagement; Learning Activities; Multiple choice; Novices; Pedagogy; Reading; Second language instruction; Second Language Learning; Students; Task Analysis; task‐based learning; Teaching; Teaching Methods; Technique Feature Analysis; vocabulary acquisition; Vocabulary Development; Vocabulary learning
• ISSN: 0015-718X; 1944-9720
• DOI: 10.1111/flan.12636

The Challenge How can collaborative learning be approached from a processing perspective? Can vocabulary involvement frameworks predict learning gains from collaborative tasks as compared to individual tasks? Are these frameworks relevant to the language classroom settings? This study explores incidental vocabulary acquisition from individual and collaborative tasks in an Arabic online classroom. The present study compared individual and collaborative vocabulary learning through two types of reading‐based pedagogical tasks in an online elementary Arabic classroom. Fifty‐two beginner learners of Arabic completed a pretest, a story‐based task (either multiple‐choice or gap‐fill) with embedded novel vocabulary, and two posttests over a 2‐week period. Tasks were performed either collaboratively in groups (n = 32) or individually (n = 20) during class time. While there was no effect of task type, results showed that the collaborative condition was more conducive to vocabulary gains than the individual condition. From a processing perspective, two vocabulary frameworks were compared: The Involvement Load Hypothesis (ILH) and the Technique Feature Analysis (TFA). Vocabulary gains were found to be more clearly predicted by the TFA as it included components that captured the cognitive loads of collaborative tasks. The study provides implications for teaching Arabic vocabulary, particularly with novice learners.