There has been a long-standing issue of sparse discussion forums participation in online learning, which can impede students' help seeking practices. Researchers have examined AI techniques such as link prediction with network analysis to connect help seekers with help providers. However, little is known whether these AI systems will treat students fairly. In this study, we aim to start a foundation work to build a recommender system that can (1) fairly suggest peers who are likely to answer a question and (2) predict the response quality of students. [This chapter will be published in: I. Roll et al. (Eds.) "Artificial Intelligence in Education: 22nd International Conference, AIED 2021, Utrecht, The Netherlands, June 14-18, 2021, Proceedings, Part II." Switzerland: Springer Nature. 2021.]