Peer Assessment in Online Language Courses: Comparison
Please note this is a comparison between Version 2 by Lindsay Dong and Version 1 by Zhonggen Yu.

As a popular strategy in collaborative learning, peer assessment has attracted keen interest in academic studies on online language learning contexts. Peer assessment in online language courses has received much attention since the COVID-19 outbreak. It remains a popular research topic with a preference for studies on online writing courses, and demonstrates international and interdisciplinary research trends.

  • peer assessment
  • online language learning
  • educational technologies

1. Introduction

Collaborative learning can enhance learning outcomes, cognitive abilities, and social skills (Laal and Ghodsi 2012). A growing size of evidence can be found in previous empirical studies to support the advantages of collaborative learning, or more specifically, peer assessment (Jung et al. 2021). Online learning has demonstrated its significant role and advantages, especially during the COVID-19 pandemic (Adedoyin and Soykan 2020). Online learning and peer assessment in various subjects continue to develop, inspiring integrative research to investigate peer assessment in online language courses and provide enhanced and diversified forms of it. With the development of information and technology, educational technologies have become popular, and more technologies have been introduced to teaching practice, as listed by Haleem et al. (2022). Although collaborative learning may take forms other than peer assessment, many recent studies focus on it in online education contexts, where educational technologies are usually integrated. Consequently, peer assessment in online language courses sparks constant academic interest and is now a critical component of studies on online education.
The significance of peer assessment in online language education is evident in its vast advantages when applied to distance education. For instance, peer assessment effectively promotes learners’ writing skills, reflective thinking abilities, and problem-solving efficiency (Lin 2019; Liang and Tsai 2010). Implementing peer assessment activities in online language teaching also brings improved academic achievements compared with traditional feedback and offline courses, such as transferable skills, a better understanding of the assessment criteria, timely feedback, and constant learning and development (Adachi et al. 2018). However, there are also problems with peer assessment in online language education. The quality of peer assessment may be limited due to students’ expertise; how to enhance the students’ engagement and self-efficacy in peer assessment is still not completely clear (Lin 2019; Adachi et al. 2018). There is still a controversy about peer assessment in online language courses, which requires researchers to continue further investigations.

2. Peer Assessment in Online Language Courses

2.1. Introducing Peer Assessment to Online Language Courses with Interdisciplinary Research

Rising interest in peer assessment and online language courses has been revealed by researchers in recent years (Li et al. 2020). A considerable number of studies have combined these two aspects, investigating the implementation of peer assessment in online language courses (Lin 2019). The overall findings of most existing studies suggested positive outcomes: peer assessment in online contexts could enhance learners’ language learning achievements (Liu et al. 2018; Ghahari and Farokhnia 2018). With the popularity of e-learning contexts, peer assessment has been actively applied. To illustrate this point, empirical results on this topic have been significantly enriched by technological advancements and applications since the advent of the 2020s. Examples can be found in further applications of video annotation tools, online teaching platforms to satisfy the educational needs in the post-COVID-19 era, and automated evaluation tools corresponding to e-learning environments (Fang et al. 2022; Shek et al. 2021). These studies contributed to understanding peer assessment in the era of online learning and teaching triggered by COVID-19 (Adedoyin and Soykan 2020).
Researchers in linguistics extended their interest to different language skills and learning contents in language courses, and they actively sought interdisciplinary methods and perspectives outside language education studies. Empirical evidence supporting peer assessment in online language education was provided from the existing literature, even if research interest in different language skills could vary. Among them, commonly investigated language skills included listening (Tran and Ma 2021), speaking (Nicolini and Cole 2019), and writing (Sun and Zhang 2022; Zhang et al. 2022). More integrative language courses included English for specific purposes (Salem and Shabbir 2022), academic writing (Topping et al. 2000; Cheong et al. 2022), and communication skills (Shek et al. 2021). The development of applied linguistics by involving theories and concepts from various subjects and research areas made interdisciplinary approaches increasingly crucial. The interactions between linguistic studies and theories in other research areas have conceived popular research methods and open-minded perspectives in current studies. Dominantly reflecting the interdisciplinary trends, psychological constructs were examined when educational technologies were introduced to language courses, shedding light on the effects of e-learning methods on students’ motivation, engagement, self-efficacy, and cognitive load (Akbari et al. 2016; Lai et al. 2019; Yu et al. 2022a, 2022b).

2.2. Theoretical Foundations of Peer Assessment in Online Learning Contexts

The idea of peer assessment was derived from early discussions on collaborative learning, and the subsequent studies continued extending the theories and the applications of peer assessment. Inspired by Piaget (1929), who suggested that collaborative learning and cognitive construction were related and developed together (Roberts 2004), Vygotsky started with his theories, indicating how learners would more easily learn knowledge and develop particular skills (Vygotsky and Cole 1978). However, the concept of peer assessment was not termed first until Keith J. Topping. Although Topping (2009) suggested earlier origins of peer assessment in educational contexts, researchers now dominantly attributed the blossoming studies related to this topic to Topping’s systematic foundations of peer assessment (Lin 2019). In his earlier reviews of peer assessment, Topping predicted the rising trend of computer-assisted peer assessment (Topping 1998). In a series of articles and books, he reviewed and summarized the developments of peer assessment (Topping 1998, 2009, 2018), inspiring emerging research topics related to peer assessment in various educational contexts. Relying on the theoretical foundations, studies in recent years have contributed to new theories with growing empirical evidence in diversifying educational contexts.

2.3. Educational Technology Applications for Peer Assessment in Online Langauge Courses

Although collaborative learning was proposed much earlier, introducing educational technologies to peer assessment benefited from rapid and revolutionary changes in the era of information and technology (Roberts 2005). Not specifically for peer assessment, educational technologies were introduced into language education for various purposes. As summarized by Haleem et al. (2022), in technology-enhanced language education studies, dominant educational technologies included at least the following: (1) quick assessment technologies, for example, automated writing evaluation tools (Nunes et al. 2022); (2) resources for distance learning, especially video-based instructions, such as Massive Open Online Courses (MOOCs) (Fang et al. 2022) and video conferencing (Hampel and Stickler 2012); (3) electronic books and digital reading technologies (Reiber-Kuijpers et al. 2021); (4) broad access to the most up-to-date knowledge and enhanced learning opportunities; (5) mobile-assisted language learning (as reviewed by Burston and Giannakou 2022); and (6) social-media-assisted language learning (Akbari et al. 2016). With diversified techniques and designs, technology-enhanced language learning in recent years was established as an emerging, rapidly developing, interdisciplinary, and critical research area.
With the emergence of educational technologies, the frontiers in studies on peer assessment in online language education witnessed the welcoming integration of education technologies. Many empirical studies in more recent years closely turned to popular educational technologies, and were eager to discover the application of peer assessment in online language courses. Video-based peer feedback was considered an efficient tool to provide emotionally supportive feedback for language learners with an enhanced sense of realistic perception using virtual reality (Chien et al. 2020). Compared with traditional forms of written feedback, video peer feedback improved learners’ Chinese-to-English translation performance (Ge 2022). Digital note-taking technologies demonstrated unique advantages in addressing learners’ special needs when suffering from language-related disabilities (Belson et al. 2013). However, the educational technologies applied to peer assessment in online language courses still comprised a small proportion of dominant educational technologies assisting language learning.

References

  1. Laal, Marjan, and Seyed Mohammad Ghodsi. 2012. Benefits of collaborative learning. Procedia-Social and Behavioral Sciences 31: 486–90.
  2. Jung, Jaewon, Yoonhee Shin, and Joerg Zumbach. 2021. The effects of pre-training types on cognitive load, collaborative knowledge construction and deep learning in a computer-supported collaborative learning environment. Interactive Learning Environments 29: 1163–75.
  3. Adedoyin, Olasile Babatunde, and Emrah Soykan. 2020. COVID-19 pandemic and online learning: The challenges and opportunities. Interactive Learning Environments, 1–13.
  4. Haleem, Abid, Mohd Javaid, Mohd Asim Qadri, and Rajiv Suman. 2022. Understanding the role of digital technologies in education: A review. Sustainable Operations and Computers 3: 275–85.
  5. Lin, Chi-Jen. 2019. An online peer assessment approach to supporting mind-mapping flipped learning activities for college English writing courses. Journal of Computers in Education 6: 385–415.
  6. Liang, Jyh-Chong, and Chin-Chung Tsai. 2010. Learning through science writing via online peer assessment in a college biology course. The Internet and Higher Education 13: 242–47.
  7. Adachi, Chie, Joanna Hong-Meng Tai, and Phillip Dawson. 2018. Academics’ perceptions of the benefits and challenges of self and peer assessment in higher education. Assessment & Evaluation in Higher Education 43: 294–306.
  8. Li, Hongli, Yao Xiong, Charles Vincent Hunter, Xiuyan Guo, and Rurik Tywoniw. 2020. Does peer assessment promote student learning? A meta-analysis. Assessment & Evaluation in Higher Education 45: 193–211.
  9. Liu, Xiongyi, Lan Li, and Zhihong Zhang. 2018. Small group discussion as a key component in online assessment training for enhanced student learning in web-based peer assessment. Assessment & Evaluation in Higher Education 43: 207–22.
  10. Ghahari, Shima, and Farzaneh Farokhnia. 2018. Peer versus teacher assessment: Implications for CAF triad language ability and critical reflections. International Journal of School & Educational Psychology 6: 124–37.
  11. Fang, Jian-Wen, Gwo-Jen Hwang, and Ching-Yi Chang. 2022. Advancement and the foci of investigation of MOOCs and open online courses for language learning: A review of journal publications from 2009 to 2018. Interactive Learning Environments 30: 1351–69.
  12. Shek, Mabel Mei-Po, Kim-Chau Leung, and Peter Yee-Lap To. 2021. Using a video annotation tool to enhance student-teachers’ reflective practices and communication competence in consultation practices through a collaborative learning community. Education and Information Technologies 26: 4329–52.
  13. Tran, Thi Thanh Thao, and Qing Ma. 2021. Using formative assessment in a blended EFL listening course: Student perceptions of effectiveness and challenges. International Journal of Computer-Assisted Language Learning and Teaching 11: 17–38.
  14. Nicolini, Kristine M., and Andrew W. Cole. 2019. Measuring peer feedback in face-to-face and online public-speaking workshops. Communication Teacher 33: 80–93.
  15. Sun, Peijian Paul, and Lawrence Jun Zhang. 2022. Effects of translanguaging in online peer feedback on Chinese university English-as-a-foreign-language students’ second language writing performance. RELC Journal 53: 325–41.
  16. Zhang, Meng, Qiaoling He, Jianxia Du, Fangtong Liu, and Bosu Huang. 2022. Learners’ perceived advantages and social-affective dispositions toward online peer feedback in academic writing. Frontiers in Psychology 13: 973478.
  17. Salem, Ashraf Atta, and Aiza Shabbir. 2022. Multimedia Presentations through digital storytelling for sustainable development of EFL learners’ argumentative writing skills, self-directed learning skills & learner autonomy. Frontiers in Education 7: 884709.
  18. Topping, Keith J., Elaine F. Smith, Ian Swanson, and Audrey Elliot. 2000. Formative peer assessment of academic writing between postgraduate students. Assessment & Evaluation in Higher Education 25: 149–69.
  19. Cheong, Choo Mui, Na Luo, Xinhua Zhu, Qi Lu, and Wei Wei. 2022. Self-assessment complements peer assessment for undergraduate students in an academic writing task. Assessment & Evaluation in Higher Education 48: 135–48.
  20. Akbari, Elham, Ahmad Naderi, Robert-Jan Simons, and Albert Pilot. 2016. Student engagement and foreign language learning through online social networks. Asian-Pacific Journal of Second and Foreign Language Education 1: 4.
  21. Lai, Chih-Hung, Hung-Wei Lin, Rong-Mu Lin, and Pham Duc Tho. 2019. Effect of peer interaction among online learning community on learning engagement and achievement. International Journal of Distance Education Technologies 17: 66–77.
  22. Yu, Zhonggen, Wei Xu, and Paisan Sukjairungwattana. 2022a. A meta-analysis of eight factors influencing MOOC-based learning outcomes across the world. Interactive Learning Environments, 1–20.
  23. Yu, Zhonggen, Wei Xu, and Paisan Sukjairungwattana. 2022b. Motivation, learning strategies, and outcomes in mobile English language learning. The Asia-Pacific Education Researcher, 1–16.
  24. Piaget, Jean. 1929. The Child’s Conception of the World. New York: Harcourt, Brace Jovanovich.
  25. Roberts, Tim S., ed. 2004. Online Collaborative Learning: Theory and Practice. Hershey: IGI Global.
  26. Vygotsky, Lev Semenovich, and Michael Cole. 1978. Mind in Society: Development of Higher Psychological Processes. Cambridge: Harvard University Press.
  27. Topping, Keith J. 2009. Peer assessment. Theory into Practice 48: 20–27.
  28. Topping, Keith J. 1998. Peer assessment between students in colleges and universities. Review of Educational Research 68: 249–76.
  29. Topping, Keith J. 2018. Using Peer Assessment to Inspire Reflection and Learning. London: Routledge.
  30. Roberts, Tim S. 2005. Computer-supported collaborative learning in higher education. In Computer-Supported Collaborative Learning in Higher Education. Hershey: IGI Global, pp. 1–18.
  31. Nunes, Andreia, Teresa Limpo Carolina Cordeiro, and São Luís Castro. 2022. Effectiveness of automated writing evaluation systems in school settings: A systematic review of studies from 2000 to 2020. Journal of Computer Assisted Learning 38: 599–620.
  32. Hampel, Regine, and Ursula Stickler. 2012. The use of videoconferencing to support multimodal interaction in an online language classroom. ReCALL 24: 116–37.
  33. Reiber-Kuijpers, Manon, Marijke Kral, and Paulien Meijer. 2021. Digital reading in a second or foreign language: A systematic literature review. Computers & Education 163: 104115.
  34. Chien, Shu-Yun, Gwo-Jen Hwang, and Morris Siu-Yung Jong. 2020. Effects of peer assessment within the context of spherical video-based virtual reality on EFL students’ English-speaking performance and learning perceptions. Computers & Education 146: 103751.
  35. Ge, Zi-Gang. 2022. Exploring the effect of video feedback from unknown peers on e-learners’ English-Chinese translation performance. Computer Assisted Language Learning 35: 169–89.
  36. Belson, Sarah Irvine, Daniel Hartmann, and Jennifer Sherman. 2013. Digital note taking: The use of electronic pens with students with specific learning disabilities. Journal of Special Education Technology 28: 13–24.
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