Learning literature is considered challenging for university students, especially in Indonesia, as they must perform assigned tasks and communicate with one another, in addition to receiving and transmitting comprehensible literature content knowledge from and to their lecturers. In many cases, students do not get sufficient feedback on what they are doing. The objective of this study was to investigate the use of feedback strategies by lecturers in English literature lectures in a higher learning institution in Indonesia. Using a qualitative approach, this study involved three lecturers of the English literature department. Meanwhile, data were collected through 300 minutes of video recordings of drama, literary criticism, and prose lectures. The results revealed that the lecturers generated both negative and positive feedback strategies during the lectures. In terms of negative feedback strategies, they criticized students’ responses. By contrast, in terms of positive feedback strategies, they accepted, appreciated, and praised as well as repeated and answered students’ responses. The results also indicated that the feedback strategies became effective tools to improve students’ language competence, literary knowledge, and participation. This study suggested that lecturers use more positive feedback followed by additional comments during lectures as these could foster students’ engagement and keep learning longer.

The purpose of this research is to develop a worksheet that can support a digital science practicum. Conducting a needs analysis comes first in the development of worksheets, then comes product creation. The product produced based on the needs test analysis is a worksheet with the help of science worksheet-augmented reality (SWAR). Two knowledgeable education professionals then evaluate the finished product and test it out on participants or students. The results of the study show that worksheets equipped with augmented reality media are necessary. Meanwhile, the resulting product is valid in an almost perfect category (Pe = 0.7219; Po = 0.9744; K = 0.9078). Student perceptions of the products produced are at an "excellent" level in each category (ME-Av, mean = 3.466; CO-Av, mean = 3.472; CT-Av, mean = 3.503; ST-Av, mean = 3,507; TA-Av, mean = 3.440; IN-Av, mean = 3.640; MO-Av, mean = 3.640). There is a significant inverse relationship between media features (ME-Av) and student interest (IN-Av) based on Pearson's correlation test with r = -.50 (p < .50). Further explanation is presented based on the data that has been collected.