Cognitivism views learning as an internal mental process that involves information processing, memory, thinking, problem-solving, and understanding, rather than merely observable behavior. When applied to technology-mediated learning, cognitivism has significant implications for the design, delivery, and evaluation of educational technologies. It shifts the focus from simple stimulus–response mechanisms to how learners perceive, organize, store, and retrieve information while interacting with digital learning environments. One major implication of cognitivism for technology-mediated learning is the emphasis on structured and meaningful content organization. Digital learning platforms such as learning management systems, e-modules, and multimedia presentations are designed to present information in a logical sequence that aligns with the learner’s cognitive structure. Concepts are often broken into smaller units, arranged hierarchically, and connected through clear relationships to reduce cognitive overload. Technologies such as concept maps, mind-mapping tools, and hyperlinked resources support learners in organizing knowledge and integrating new information with existing schemas. Another important implication is the role of attention and perception in learning through technology. Cognitivism highlights that learning occurs only when learners actively attend to instructional material. Therefore, technology-mediated learning environments incorporate features like interactive multimedia, animations, simulations, and visual cues to capture and sustain learners’ attention. However, cognitivism also cautions against excessive multimedia elements that may distract learners and overload working memory. As a result, instructional designers apply principles such as coherence, signaling, and modality to ensure that technology enhances rather than hinders cognitive processing. Memory processes are central to cognitivist theory, and this strongly influences technology-mediated learning. Digital tools