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Direct linkGabriela Trindade Perry; Marlise Bock Santos – Journal of Computer Assisted Learning, 2024
Background: Instances of academic dishonesty are common in online learning environments because difficulties in their detection result in considerably low degrees of risks. However, if not identified, the noise introduced by dishonest learners in MOOCs' clickstream data could lead to biased results and conclusions in scientific research.…
Descriptors: Foreign Countries, MOOCs, Distance Education, Electronic Learning
Manca, Stefania; Raffaghelli, Juliana Elisa – Journal of Computer Assisted Learning, 2023
Background: Holocaust memory and learning processes have become increasingly mediatised as a result of rapid technological advances. There is, however, little information available regarding how people learn about this topic informally through social media. Objectives: This paper explores how adult learners develop their learning ecologies by…
Descriptors: Adult Learning, Adult Students, Social Media, Learning
Swinnerton, B.; Hotchkiss, S.; Morris, N. P. – Journal of Computer Assisted Learning, 2017
This paper investigates the characteristics and behaviour of learners on nine Massive Open Online Courses (MOOCs) on the FutureLearn platform in 2014 and 2015. FutureLearn's social constructivist approach, which emphasizes learning through social interaction, makes the focus on forum posting within these MOOCs particularly appropriate. This study…
Descriptors: Online Courses, Large Group Instruction, Educational Technology, Technology Uses in Education
