Speech Recognition (SR) technology has a burgeoning range of applications in education system. Speech Recognition (SR) technologies were evaluated in different classroom environments to assist students to automatically convert oral lectures into text. Two distinct methods of SR-mediated Lecture Acquisition (SR-mLA), Real-Time Captioning (RTC) and Post-Lecture Transcription (PLT), has been developed to increase the word recognition accuracy. Both methods have been compared according to technical feasibility and reliability of classroom implementation, instructors' experiences, word recognition accuracy, and student class performance. RTC provided near instantaneous display of the instructor's speech for students during class.