Malek Alrashidi
Papers
4
Total Citations
73
H-Index
4
About
Malek Alrashidi is a researcher whose work sits at the intersection of augmented reality (AR), educational technology, and embedded computing, with a particular focus on making complex, invisible technological processes accessible to learners. His most celebrated contribution is the development of the **Pedagogical Virtual Machine (PVM)** framework, an innovative model that bridges physical hands-on activities with digital learning objects, enabling students to uncover the hidden educational value embedded within physical systems such as mobile robots. Alrashidi's most cited work, "The Effectiveness of Using Augmented Reality on Assembling and Exploring Educational Mobile Robot in Pedagogical Virtual Machine" (2018, 39 citations), demonstrated how AR's magic-lens capabilities can streamline complex assembly tasks by guiding learners through pre-defined, information-efficient sequences. Complementing this, his research into embedded computing education tackles the challenge of abstract, invisible system behaviors by leveraging real-time AR feedback to make hidden processes transparent and debuggable for students. With a cumulative body of work exceeding 70 citations, Alrashidi has established himself as a meaningful voice in technology-enhanced learning, offering practical, evidence-based tools that lower the cognitive barrier for students engaging with robotics, computing hardware, and embedded systems education.
Research Focus
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Top Papers
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