Several features have been identified that enhance learning from text. One of these features is explication. To explicate means to state directly, instead of requiring the reader to infer, organize, or construct relationships. This study investigated the effects of three types of embedded explication on science learning: etymological, causal, and analogical in terms of the Mayer and Greeno information processing model. Subjects read parallel texts containing explications presented in a difficult or easy sequence. Overall, groups receiving causal and analogical explication scored signifieanfly higher than the control groups receiving filler material. This supports the use of causal explication to support organization and the use of analogy to link prior and new knowledge together in long-term memory. This study has implications for the design of text-based seienee instruction based both on the use of embedded explication and the sequencing of information.