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Context: Learning analytics is considered as the third wave in educational technology and it is a new and promising field of study. This study was conducted to clarify benefits and challenges of learning analytics in education. Methods: Cooper's systematic literature review was used as the research method. This method has five steps as follows: a) formulation of the problem, b) collection of data, c) evaluation of the appropriateness of the data, d) analysis and interpretation of relevant data, and e) organization and presentation of the results. Based on the study selection process, 36 articles were finally selected to be analyzed. Results: The results showed that ethics and privacy were one of the most important challenges of learning analytics in education along with the lack of attention to theoretical foundations and scope and quality of data. The results also showed that learning analytics could bring remarkable benefits for education, such as increased engagement of students, improvement of learning outcomes, identification of students at risk, providing real-time feedback, and personalization of learning. Conclusions: Based on the results, it can be concluded that learning analytics offer new insights in education, however, there are ethical, educational, and technical issues in the use of learning analytics in education.

Although MOOCs platforms offer a unique way to provide information for a large cohort of participants, only a small percentage of participants complete MOOCs. The high number of dropouts in MOOCs is a key challenge, and the literature suggests that it can be affected by participants' motivation. However, it is not known how and to what extent motivation influences participants’ dropout in MOOCs. There is a need to provide an overview of the role of motivation in MOOCs’ retention. In this study, we aimed to identify motivational factors and theories that affect participants’ retention in MOOCs and explain how does motivation supports participants to complete MOOCs. To do so, a systematic review was conducted using specific inclusion and exclusion criteria and a set of relevant keywords and databases which resulted in 50 relevant publications. Our analysis led us to identify six main motivational factors that influence participants’ MOOCs completion including academic, social, course, personal, professional, and technological motives. These factors were divided into two main categories including need-based motivation and interest-based motivation. The results showed that academic motives play the most important role in participants’ MOOCs retention compared to the other factors. It was also found that self-determination theory was used as the most dominant theory to support participants’ motivation for MOOCs completion. In addition, the results revealed that the motivational factors not only impacts participants’ MOOCs retention directly, but also this impact is mediated by participant satisfaction, self-regulation, attitude toward using MOOCs, performance, engagement, and level of participation. Based on the results, further implications for practice and future research are provided.

We know little to what extent peer feedback strategies can be applied on a large scale in higher education for complex tasks. This study aimed to design, implement, and evaluate an online-supported peer feedback module for large-scale use to enhance higher education students’ argumentative essay writing performance. To do this, 330 students from five different courses at bachelor and master levels followed the online supported peer feedback module. In this module, students were asked to write an argumentative essay about a controversial issue, provide peer feedback for two peers, and revise their original essays based on the received feedback. Three types of data including original essay (pre-test) data, peer feedback data, and revised essay (post-test) data collected. Students also filled out the learning satisfaction questionnaire at the end of the module. The findings showed that the suggested online-supported peer feedback module was effective in improving students’ argumentative essay quality in all courses at the bachelor and master levels. The findings also showed there is a difference in the level of students’ satisfaction with the module among the courses and between the education levels. The findings of this study provide insights into and add value to the scalability of online peer feedback tools for argumentative essay writing in different contexts. Based on the findings, recommendations for future studies and educational practice are provided.