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Nuo Cheng; Wei Zhao; Xiaoqing Xu; Hongxia Liu; Jinhong Tao – Education and Information Technologies, 2024
Learning analytics dashboards are becoming increasingly common tools for providing feedback to learners. However, there is limited empirical evidence regarding the effects of learning analytics dashboard design features on learners' cognitive load, particularly in digital learning environments. To address this gap, we developed goal-based,…
Descriptors: Learning Analytics, Learning Management Systems, Cognitive Ability, Online Courses
Aronshtam, Lior; Shrot, Tammar; Shmallo, Ronit – Education and Information Technologies, 2021
Improving code while preserving its functionality is a common task in the hi-tech industry. Yet students have difficulties improving an algorithm's run-time complexity by an order of magnitude. The paper focuses on assessing students' abilities in this area. We designed a Structure of the Observed Learning Outcome (SOLO) taxonomy, using software…
Descriptors: Difficulty Level, Computer Software, Taxonomy, Coding
Mohan Honnagudi Gururaj; Nandish Malleshappa; Sankhya Nagesh Nayak; Devaraj Fakkirappa Vadenapur; Benak Patel Medugondanahalli Puradaswamy – Education and Information Technologies, 2024
A Study with undergraduate engineering students was conducted in order to evaluate whether cognitive and comprehending ability can be improved by incorporating the tool based learning. The simulator tools and virtual labs were used to represent tool based learning. The study was conducted on three different years of students. In the first stage…
Descriptors: Undergraduate Students, Engineering Education, Evaluation, Comprehension