Pre-Service Teachers’ Perceptions of Emotions and Self-Regulatory Learning in Emergency Remote Learning
Abstract
:1. Introduction
- What emotions did students experience during emergency remote learning?
- What difficulties did students encounter during emergency remote learning?
- What learning strategies did students apply during emergency remote learning?
2. Literature Review
2.1. Learner Emotions in the Online Environment
2.2. Learning Difficulties in the Online Environment
2.3. Self-Regulated Language Learning Strategies in the Online Environment
3. Methods
3.1. Setting and Participants
3.2. Data Collection and Analysis
- “What’s difficult about online learning?”
- “How do you participate/interact actively in an online class?”
- “Does online learning require more mental effort?”
- “How do you plan for your online lessons?”
- “Do you do anything different in your online studies compared with your previous face-to-face classes?”
4. Results
4.1. Students’ Emotions during Emergency Remote Teaching and Learning
4.2. Students’ Perceived Difficulties with Emergency Remote Teaching and Learning
4.2.1. Uneasiness and Inexperience with Online Learning
4.2.2. Increased Workload and Concentration
4.2.3. Study Environment, Opportunities and “Forced” Interactions
4.3. Students’ Self-Regulated Learning Strategies in the Emergency Remote Teaching Context
- Allocating extra study time;
- Setting self-imposed standards for assignments;
- Setting short-term as well as long-term goals;
- Preparing questions before joining the chat room and discussion;
- Scheduling the time for online classes and observing the schedule;
- Reading aloud the instructional materials that were posted online;
- Finding someone to consult who was knowledgeable in the course content;
- Seeking peer evaluations of their performance in online classes;
- Meeting their classmates face-to-face when needed;
- Working on extra problems beyond the assigned ones to master the course content.
5. Conclusions
Pedagogical Implications
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Ross, B.; Gage, K. Global perspectives on blended learning: Insight from WebCT and our customers in higher education. In Handbook of Blended Learning: Global Perspectives, Local Designs; Bonk, C.J., Graham, C.R., Eds.; Pfeiffer: San Francisco, CA, USA, 2006; pp. 155–168. [Google Scholar]
- Norberg, A.; Dziuban, C.D.; Moskal, P.D. A time-based blended learning model. Horizon 2011, 19, 207–216. [Google Scholar] [CrossRef] [Green Version]
- Garcia, E.; Moizer, J.; Wilkins, S.; Haddoud, M.Y. Student learning in higher education through blogging in classroom. Comput. Educ. 2019, 136, 61–74. [Google Scholar] [CrossRef]
- Godwin-Jones, R. Emerging technologies: Mobile Apps for Language Learning. Lang. Learn. Technol. 2011, 15, 2–11. [Google Scholar]
- Luef, A.M.; Ghebru, B.; Ilon, L. Apps for language learning: Their use across different languages in a Korean context. Interact. Learn. Environ. 2018, 28, 1036–1047. [Google Scholar] [CrossRef]
- Lai, C.; Gu, M. Self-regulated out-of-class language learning with technology. Comput. Assist. Lang. Learn. 2011, 24, 317–335. [Google Scholar] [CrossRef]
- Lin, C.-H.; Zhang, Y.; Zheng, B. The roles of learning strategies and motivation in online language learning: A structural equation modelling analysis. Comput. Educ. 2017, 113, 75–85. [Google Scholar] [CrossRef]
- Pekrun, R.; Elliot, A.J.; Maier, M.A. Achievement goals and achievement emotions: Testing a model of their joint relations with academic performance. J. Educ. Psychol. 2009, 101, 115–135. [Google Scholar] [CrossRef] [Green Version]
- Pekrun, R.; Goetz, T.; Titz, W.; Perry, R.P. Academic emotions in students’ self-regulated learning and achievement: A program of qualitative and quantitative research. Educ. Psychol. 2002, 37, 99–105. [Google Scholar] [CrossRef]
- Schunk, D.H.; Pintrich, P.R.; Meece, J.L. Motivation in Education: Theory, Research, and Applications, 3rd ed.; Pearson Education: Upper Saddle River, NJ, USA, 2008. [Google Scholar]
- Schutz, P.A.; Pekrun, R. Emotion in Education; Academic Press: San Diego, CA, USA, 2007. [Google Scholar]
- Artino, A.R.; Jones, K.D. Exploring the complex relations between achievement emotions and self-regulated learning behaviours in online learning. Internet High. Educ. 2012, 15, 170–175. [Google Scholar] [CrossRef]
- Wosnitza, M.; Volet, S. Origin, direction and impact of emotions in social online learning. Internet High. Educ. 2005, 15, 449–464. [Google Scholar] [CrossRef]
- Zembylas, M.; Theodorou, M.; Pavlakis, A. The role of emotions in the experience of online learning: Challenges and opportunities. Educ. Media Int. 2008, 45, 107–117. [Google Scholar] [CrossRef]
- Hodges, C.; Moore, S.; Lockee, B.; Trust, T.; Bond, A. The difference between emergency remote teaching and online learning. Educ. Rev. 2020, 27, 1–12. [Google Scholar]
- Allen, I.E.; Seaman, J. Grade Change: Tracking Online Education in the United States; Babson Survey Research Group: Babson Park, FL, USA, 2014. [Google Scholar]
- Khan, P.; Everington, L.; Kelm, K.; Reid, I.; Watkins, F. Understanding student engagement in online learning environments: The role of reflexivity. Educ. Technol. Res. Dev. 2017, 65, 203–218. [Google Scholar] [CrossRef] [Green Version]
- Lee, K. Rethinking the accessibility of online higher education: A historical review. Internet High. Educ. 2017, 33, 15–23. [Google Scholar] [CrossRef] [Green Version]
- Dirkx, J.M. The meaning and role of emotions in adult learning. New Dir. Ault. Contin. Educ. 2008, 120, 7–18. [Google Scholar] [CrossRef]
- Lehman, R. The role of emotion in creating instructor and learner presence in the distance education experience. J. Cogn. Affect. Learn. 2006, 2, 12–26. [Google Scholar]
- Shao, K.; Pekrun, R.; Nicholson, L. Emotions in Classroom Language Learning: What Can We Learn From Achievement Emotion Research? System 2019, 86, 102–121. [Google Scholar] [CrossRef]
- Pekrun, R.; Elliot, A.J.; Maier, M.A. Achievement goals and discrete achievement emotions: A theoretical model and prospective test. J. Educ. Psychol. 2006, 98, 583–597. [Google Scholar] [CrossRef]
- Pekrun, R.; von Hofe, R.; Blum, W.; Frenzel, A.C.; Goetz, T.; Wartha, S. Development of mathematical competencies in adolescence: The PALMA longitudinal study. In Studies on the Educational Quality of Schools; Prenzel, M., Ed.; Waxmann: Muenster, Germany, 2007; pp. 17–37. [Google Scholar]
- Daniels, L.M.; Stupnisky, R.H. Not that different in theory: Discussing the control-value theory of emotions in online learning environments. Internet High. Educ. 2012, 15, 222–226. [Google Scholar] [CrossRef]
- Pekrun, R.; Stephens, E.J. Achievement emotions: A control-value approach. Soc. Personal. Psychol. Compass 2010, 4, 238–255. [Google Scholar] [CrossRef]
- Hara, N.; Kling, R. Communities of practice with and without information technology. In American Society of Information Science and Technology 2002: Information, Connections and Community, Philadelphia, USA, November 18–21, 2002; Rasmussen, E.M., Toms, E., Eds.; Information Today: Medford, OR, USA, 2002; Volume 39, pp. 338–349. [Google Scholar]
- You, J.W.; Kim, H.; Park, S.H. Development and construct validation of e-learning academic emotion scale (e-AES). J. Yeolin Educ. 2012, 20, 19–44. [Google Scholar]
- You, J.W. The structured relationship among task value, self-efficacy, goal structure, and academic emotions for promoting self-regulated learning in e-learning course. J. Korean Assoc. Comput. Educ. 2012, 16, 61–77. [Google Scholar]
- Dörnyei, Z. The L2 Motivational Self System. In Motivation, Language Identity and the L2 Self; Dörnyei, Z., Ushioda, E., Eds.; Multilingual Matters: Bristol, UK, 2009; pp. 9–42. [Google Scholar]
- Freeman, D. Teaching in the context of English-language learners: What do we need to know? In Teaching Immigrant and Second Language Students; Sadowski, M., Ed.; Harvard University Press: Cambridge, MA, USA, 2004; pp. 7–20. [Google Scholar]
- Kramsch, C.J. The Multilingual Subject; Oxford University Press: Oxford, UK, 2009. [Google Scholar]
- Bown, J.; White, C. A social and cognitive approach to affect in SLA. Int. Rev. Appl. Linguist. Lang. Teach. 2010, 48, 331–353. [Google Scholar] [CrossRef]
- Catterall, J.; Davis, J. Supporting new students from vocational education and training: Finding a reusable solution to address recurring learning difficulties in e-learning. Australas. J. Educ. Technol. 2013, 29, 640–650. [Google Scholar]
- You, J.W.; Kang, M. The role of academic emotions in the relationship between perceived academic control and self-regulated learning in online learning. Comput. Educ. 2014, 77, 125–133. [Google Scholar] [CrossRef]
- Hromalik, C.D.; Koszalka, T.A. Self-regulation of the use of digital resources in an online language learning course improves learning outcomes. Distance Educ. 2018, 39, 528–547. [Google Scholar] [CrossRef]
- Hu, P.; Zhang, J. A pathway to learner autonomy: A self-determination theory perspective. Asia Pac. Educ. Rev. 2017, 18, 147–157. [Google Scholar] [CrossRef] [Green Version]
- Zimmerman, B.J. Developing self-fulfilling cycles of academic regulation: An analysis of exemplary instructional models. In Self-Regulated Learning: From Teaching to Self-Reflective Practice; Schunk, D.H., Zimmerman, B.J., Eds.; Guilford Publications: New York, NY, USA, 1998; pp. 1–19. [Google Scholar]
- Zimmerman, B.J.; Martinez-Pons, M. Construct validation of a strategy model of student self-regulated learning. J. Educ. Psychol. 1988, 80, 284–290. [Google Scholar] [CrossRef]
- Pintrich, P.R.; de Groot, E.V. Motivational and self-regulated components of classroom academic performance. J. Educ. Psychol. 1990, 82, 33–40. [Google Scholar] [CrossRef]
- Broadbent, J.; Poon, W.L. Self-regulated learning strategies & Academic achievement in online higher education learning environments: A systematic review. Internet High. Educ. 2015, 27, 1–13. [Google Scholar]
- Cho, M.-H.; Shen, D. Self-regulation in online learning. Distance Educ. 2013, 34, 290–301. [Google Scholar] [CrossRef]
- Zimmerman, B.J. Investigating self-regulation and motivation: Historical backgrounds, methodological developments, and future prospects. Am. Educ. Res. J. 2008, 45, 166–183. [Google Scholar] [CrossRef]
- Cho, M.-H.; Kim, Y.; Choi, D.H. The effect of self-regulated learning on college students’ perception of community of inquiry and affective outcomes in online learning. Internet High. Educ. 2017, 24, 10–17. [Google Scholar] [CrossRef]
- Kuo, Y.-C.; Walker, A.E.; Belland, B.R.; Schroder, K.E.E. A predictive study of student satisfaction in online education programs. Int. Rev. Res. Open Distrib. Learn. 2013, 14, 16–39. [Google Scholar] [CrossRef] [Green Version]
- Yukselturk, E.; Bulut, S. Predictors for student success in an online course. Educ. Technol. Soc. 2007, 10, 71–83. [Google Scholar]
- Oxford, R.L. Teaching and Researching Language Learning Strategies; Pearson Longman: Essex, UK, 2011. [Google Scholar]
- Kizil, A.S.; Savran, Z. Self-regulated learning in the digital age: An EFL perspective. Res. Youth Lang. 2016, 10, 147–158. [Google Scholar]
- Zheng, L.; Li, X.; Chen, F. Effects of a mobile self-regulated learning approach on students’ learning achievement and self-regulated learning skills. Innov. Educ. Teach. Int. 2018, 55, 616–624. [Google Scholar] [CrossRef]
- Wong, J.; Baars, M.; Davis, D.; Zee, T.V.D.; Houben, G.-J.; Paas, F. Supporting self-regulated learning in online learning environments and MOOCs: A systematic review. Int. J. Hum. Comput. Interact. 2019, 35, 356–373. [Google Scholar] [CrossRef]
- Sahin, M.; Keskin, S.; Özgür, A.; Yurdugül, H. Determination of interaction profiles based on learner characteristics in e-learning environment. Educ. Technol. Theory Pract. 2017, 7, 172–192. [Google Scholar]
- Weiser, O.; Blau, I.; Eshet-Alkalai, Y. How do medium naturalness, teaching-learning interactions and students’ personality traits affect participation in synchronous E-learning? Internet High. Educ. 2018, 37, 40–51. [Google Scholar] [CrossRef]
- Limperos, A.M.; Buckner, M.M.; Kaufmann, R.; Frisby, B.N. Online teaching and technological affordances: An experimental investigation into the impact of modality and clarity on perceived and actual learning. Comput. Educ. 2015, 83, 1–9. [Google Scholar] [CrossRef]
- Richardson, J.C.; Swan, K. Examining social presence in online courses in relation to students’ perceived learning and satisfaction. J. Asynchronous Learn. Netw. 2003, 7, 68–88. [Google Scholar]
- Swan, K.; Shih, L.F. On the nature and development of social presence in online course discussions. J. Asynchronous Learn. Netw. 2005, 9, 115–136. [Google Scholar] [CrossRef]
- Bai, J.; Li, C.; Yeh, W.C. Integrating Technology in the Teaching of Advanced Chinese. J. Technol. Chin. Lang. Teach. 2019, 10, 73–90. [Google Scholar]
- Singh, V.; Thurman, A. How many ways can we define online learning? A systematic literature review of definitions of online learning (1988–2018). Am. J. Distance Educ. 2019, 33, 289–306. [Google Scholar] [CrossRef]
- Kohnke, L.; Moorhouse, B.L. Adopting HyFlex in higher education in response to COVID-19: Students’ perspectives. Open Learn. J. Open Distance e-Learn. 2021. [Google Scholar] [CrossRef]
- Moorhouse, L.B.; Kohnke, L. Thriving or Surviving Emergency Remote Teaching Necessitated by COVID-19: University Teachers Perspectives. Asia Pac. Edu. Res. 2021, 30, 270–287. [Google Scholar]
- Chen, M.P.; Wang, L.C.; Zou, D.; Lin, S.Y.; Xie, H.; Tsai, C.C. Effects of captions and English proficiency on learning effectiveness, motivation and attitude in augmented-reality-enhanced theme-based contextualized EFL learning. Comput. Assist. Lang. Learn. 2020, 1–31. [Google Scholar] [CrossRef]
- Ivankova, N.V.; Creswell, J.W.; Stick, S.L. Using mixed-methods sequential explanatory design: From theory to practice. Field Methods 2006, 18, 3–20. [Google Scholar] [CrossRef]
- Creswell, J.W. Educational Research: Planning, Conducting, and Evaluating Quantitative and Qualitative Research, 3rd ed.; Pearson Education: Upper Saddle River, NJ, USA, 2008. [Google Scholar]
- Tashakkori, A.; Teddlie, C. Applied Social Research Methods Series, Vol. 46. Mixed Methodology: Combining qualitative and quantitative approaches; Sage Publications: Thousand Oaks, CA, USA, 1998. [Google Scholar]
- Braun, V.; Clark, V. Using thematic analysis in psychology. Qual. Res. Psychol. 2006, 3, 77–101. [Google Scholar] [CrossRef] [Green Version]
- Cohen, L.; Manion, L.; Morrison, K. Research Methods in Education, 7th ed.; Routledge: London, UK, 2011. [Google Scholar]
- Anney, V.N. Ensuring the quality of the findings of qualitative research: Looking at trustworthiness criteria. J. Emerg. Trends Educ. Res. Policy Stud. 2014, 5, 272–281. [Google Scholar]
- Mason, J. Qualitative Researching, 2nd ed.; Sage Publications: London, UK, 2002. [Google Scholar]
- Kaufmann, R.; Vallade, J.I. Exploring connections in the online learning environment: Student perceptions of rapport, climate, and loneliness. Interact. Learn. Environ. 2020, 1–15. [Google Scholar] [CrossRef]
- Reio, T.G.; Crim, S.J. Social presence and student satisfaction as predictors of online enrolment intent. Am. J. Distance Educ. 2013, 27, 122–133. [Google Scholar] [CrossRef]
- Lazarevic, B.; Bentz, D. Student perception of stress in online and face-to-face learning: The exploration of stress determinants. Am. J. Distance Educ. 2020, 35(1), 1–14. [Google Scholar] [CrossRef]
- Abdous, M. Influence of satisfaction and preparedness on online students’ feelings of anxiety. Internet High. Educ. 2019, 41, 34–44. [Google Scholar] [CrossRef]
- Young, S.; Duncan, H.E. Online and face-to-face Teaching: How do student ratings differ? MERLOT J. Online Learn. Teach. 2014, 10, 70–79. [Google Scholar]
- Moorhouse, B.L.; Li, Y.; Walsh, S. E-Classroom Interactional Competencies: Mediating and Assisting Language Learning During Synchronous Online Lessons. RELC J. 2021. [Google Scholar] [CrossRef]
- Chen, L.; Chen, T.L.; Chen, N.S. Students’ perspectives of using cooperative learning in a flipped statistics classroom. Australas. J. Educ. Technol. 2015, 31, 2015. [Google Scholar] [CrossRef]
- Zheng, C.; Liang, J.C.; Li, M.; Tsai, C.C. The relationship between English language learners’ motivation and online self-regulation: A structural equation modelling approach. System 2018, 76, 144–157. [Google Scholar] [CrossRef]
- Kohnke, L.; Moorhouse, B.L. Facilitating Synchronous Online Language Learning through Zoom. RELC J. 2020. [Google Scholar] [CrossRef]
- Kohnke, L. Tech Review: GoSoapBox—Encourage Participation and Interaction in the Language Classroom. RELC J. 2020. [Google Scholar] [CrossRef]
- Moorhouse, B.L.; Kohnke, L. Using Mentimeter to elicit student responses in the EAP/ESP Classroom. RELC J. 2020, 51, 198–204. [Google Scholar] [CrossRef]
Students’ Emotions | Very Strong | Somewhat Strong | Neutral | Somewhat Weak | Very Weak | |||||
---|---|---|---|---|---|---|---|---|---|---|
N | Pct. | N | Pct. | N | Pct. | N | Pct. | N | Pct. | |
Motivation | 5 | 10% | 28 | 54% | 8 | 15% | 11 | 21% | 0 | 0% |
Stress | 20 | 38% | 22 | 42% | 8 | 15% | 2 | 4% | 0 | 0% |
Tiredness | 20 | 38% | 16 | 31% | 9 | 17% | 6 | 12% | 1 | 2% |
Confidence | 2 | 4% | 9 | 17% | 14 | 27% | 16 | 31% | 11 | 21% |
Loneliness | 8 | 15% | 16 | 31% | 9 | 17% | 13 | 25% | 6 | 12% |
Enjoyment | 8 | 15% | 21 | 40% | 8 | 15% | 15 | 29% | 0 | 0% |
Willingness of having more online learning courses | 4 | 8% | 12 | 23% | 9 | 17% | 24 | 46% | 3 | 6% |
Students’ Perceived Difficulties | Very Strong | Somewhat Strong | Neutral | Somewhat Weak | Very Weak | |||||
---|---|---|---|---|---|---|---|---|---|---|
N | Pct. | N | Pct. | N | Pct. | N | Pct. | N | Pct. | |
Perceived difficulty in self-regulation | 13 | 25% | 31 | 60% | 1 | 2% | 3 | 6% | 4 | 8% |
Perceived difficulty in using technologies | 6 | 12% | 15 | 29% | 8 | 15% | 18 | 35% | 5 | 10% |
Perceived difficulty in concentration | 6 | 12% | 26 | 50% | 6 | 12% | 12 | 23% | 2 | 4% |
Perceived difficulty in peer-to-peer interaction | 3 | 6% | 29 | 56% | 9 | 17% | 9 | 17% | 2 | 4% |
Perceived difficulty in teacher-student interaction | 5 | 10% | 11 | 21% | 8 | 15% | 27 | 52% | 1 | 2% |
Perceived difficulty in practical demonstrations | 20 | 38% | 18 | 35% | 9 | 17% | 4 | 8% | 1 | 2% |
Perceived difficulty in catching up the teaching and learning content | 6 | 12% | 27 | 52% | 6 | 12% | 13 | 25% | 0 | 0% |
Perceived difficulty in participating in the teaching and learning activities | 6 | 12% | 27 | 52% | 8 | 15% | 11 | 21% | 0 | 0% |
Perceived difficulty in connecting the notes and associating different teaching and learning sessions | 6 | 12% | 24 | 46% | 10 | 19% | 12 | 23% | 0 | 0% |
Students’ Self-Regulated Learning Strategies | Very Frequently | Somewhat Frequently | Neutral | Somewhat Rarely | Very Rarely | |||||
---|---|---|---|---|---|---|---|---|---|---|
N | Pct. | N | Pct. | N | Pct. | N | Pct. | N | Pct. | |
Selecting an appropriate location for online learning | 27 | 52% | 17 | 33% | 6 | 12% | 2 | 4% | 0 | 0% |
Selecting an appropriate time for online learning | 16 | 31% | 19 | 37% | 7 | 13% | 10 | 19% | 0 | 0% |
Trying to take thorough notes to summarise learning | 13 | 25% | 19 | 37% | 10 | 19% | 10 | 19% | 0 | 0% |
Sharing problems with classmate online | 11 | 21% | 33 | 63% | 2 | 4% | 3 | 6% | 3 | 6% |
Seeking help from the instructor over email | 11 | 21% | 32 | 62% | 6 | 12% | 3 | 6% | 0 | 0% |
Communicating with classmates to find out the differences between what they were learning and what their classmates were learning | 11 | 21% | 25 | 48% | 5 | 10% | 9 | 17% | 2 | 4% |
Students’ Self-Regulated Learning Strategies | Very Frequently | Somewhat Frequently | Neutral | Somewhat Rarely | Very Rarely | |||||
---|---|---|---|---|---|---|---|---|---|---|
N | Pct. | N | Pct. | N | Pct. | N | Pct. | N | Pct. | |
Allocating extra study time | 9 | 17% | 31 | 60% | 6 | 12% | 5 | 10% | 1 | 2% |
Setting self-imposed standards for assignments | 8 | 15% | 12 | 23% | 6 | 12% | 6 | 12% | 0 | 0% |
Setting short-term as well as long-term goals | 8 | 15% | 33 | 63% | 3 | 6% | 3 | 6% | 0 | 0% |
Preparing questions before joining in the chat room and discussion | 8 | 15% | 18 | 35% | 10 | 19% | 14 | 27% | 2 | 4% |
Scheduling the times for online classes and observing the schedule | 6 | 12% | 30 | 58% | 8 | 15% | 6 | 12% | 2 | 4% |
Reading aloud the instructional materials that were posted online | 6 | 12% | 16 | 31% | 5 | 10% | 20 | 38% | 5 | 10% |
Finding someone to consult who was knowledgeable in the course content | 6 | 12% | 31 | 60% | 3 | 6% | 10 | 19% | 2 | 4% |
Seeking peer evaluations of their performance in online classes | 6 | 12% | 31 | 60% | 5 | 10% | 8 | 15% | 2 | 4% |
Meeting their classmates face-to-face when needed | 5 | 10% | 21 | 40% | 6 | 12% | 14 | 27% | 6 | 12% |
Working on extra problems beyond the assigned ones to master the course content | 3 | 6% | 30 | 58% | 9 | 17% | 10 | 19% | 3 | 6% |
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Kohnke, L.; Zou, D.; Zhang, R. Pre-Service Teachers’ Perceptions of Emotions and Self-Regulatory Learning in Emergency Remote Learning. Sustainability 2021, 13, 7111. https://doi.org/10.3390/su13137111
Kohnke L, Zou D, Zhang R. Pre-Service Teachers’ Perceptions of Emotions and Self-Regulatory Learning in Emergency Remote Learning. Sustainability. 2021; 13(13):7111. https://doi.org/10.3390/su13137111
Chicago/Turabian StyleKohnke, Lucas, Di Zou, and Ruofei Zhang. 2021. "Pre-Service Teachers’ Perceptions of Emotions and Self-Regulatory Learning in Emergency Remote Learning" Sustainability 13, no. 13: 7111. https://doi.org/10.3390/su13137111