Learning In Action: Navigating The Implementation Phase Of Blended Learning Courses

Zi Zhao LIEU 

Department of Biological Sciences, Faculty of Science (FOS)
Special Programme in Science, FOS 

dbslzz@nus.edu.sg  

Lieu, Z. Z. (2024). Learning in action: Navigating the implementation phase of blended learning courses [Lightning talk]. In Higher Education Conference in Singapore (HECS) 2024, 3 December, National University of Singapore. https://blog.nus.edu.sg/hecs/hecs2024-zzlieu/

SUB-THEME

Opportunities from Engaging Communities; Opportunities from Wellbeing 

KEYWORDS

Blended learning, Active Learning, Student Engagement, Community of Inquiry 

CATEGORY

Lightning Talk

EXTENDED ABSTRACT

Blended learning is becoming a norm in many higher learning institutions, with the benefits of face-to-face interactions and the flexibility of online learning (Vaughan, 2007, Liu et al., 2024).  While this innovative model offers learners many advantages, it is not without unique challenges, particularly for those new to this learning environment (Armellini et al., 2023, Kember et al, 2023). Analysis of past student feedback has indicated that while students can understand and define the terms blended learning and active learning, they are often clueless about how their learning is carried out practically in the course (Figure 1). This creates a perception that a course taught in the blended learning mode is often workload-heavy, time-consuming, and difficult to follow/learn. To harness the full potential of blended learning, students must wholeheartedly embrace the course’s learning design and recognise how it can help them achieve the intended learning outcomes (ILOs). 

Figure 1. Figure showing student understanding of “blended learning” and whether they knew how the course will be carried out. 

Development of a workshop to orientate students in blended learning 

To do so, an in-class workshop was designed to help orientate students to the blended learning course. This workshop consists of three parts: (1) An introduction to the online learning environment (CANVAS), with a focus on navigating the page for learning; (2) An introduction to learning strategies and how a student should manage their time in the course, and (3) an introduction to the face-to-face classroom learning environment with the focus on practical classroom activities (quiz, case study, and in-class presentation). This is usually done in the first class of the course, and then a post-semester survey is carried out to understand the students’ perceptions and learning. 

 

How has the workshop helped students understand and adapt to blended learning? 

Using a survey instrument, we analysed the students’ perceptions and understanding of the learning environment and the relevance of the in-class activities for one postgraduate and one undergraduate course. Regarding navigating the online blended learning environment, our survey data indicates that the students could navigate the user interface and identify relevant material for their weekly learning (Table 1). End-of-semester feedback indicates that the course material on CANVAS was easy to follow, and it was clear to the student what needed to be learnt each week. 

 

Table 1
Navigating the Online Learning Environments (post-course survey). Students were asked to rate the following statement (1 for “Strongly Disagree” to 5 for “Strongly Agree”) and the rating shown is the average.
 

 

We next analyse the students’ understanding and perceptions of the in-class learning activities. Our survey data showed that the students found the in-class activities aligned with the learning objective (Table 2). In addition, the nature of the learning activity allows for strong engagement between the student and the learning material. 

 

Table 2
Student perceptions of the in-class learning activities (post-course survey). Students were asked to rate the following statement (1 for “Strongly Disagree” to 5 for “Strongly Agree”) and the rating shown is an average rating.
 

 

In conclusion, getting students to embrace the course design and understand how it can help them achieve their learning outcomes, especially in blended learning is important. Based on our survey results, we successfully used an orientation workshop-style lesson to help students understand the why behind the pedagogical method, the logistics, and how they should interact with the learning material. We recommend integrating this orientation workshop into blended learning courses for student learning. 

REFERENCES

Armellini, A., Teixeira Antunes, V., & Howe, R. (2021). Student perspectives on learning experiences in a higher education active blended learning context. TechTrends, 65(4), 433-443. https://doi.org/10.1007/s11528-021-00593-w

Kember, D., Ellis, R. A., Fan, S., & Trimble, A. (Eds.). (2023). Adapting to Online and Blended Learning in Higher Education: Supporting the Retention and Success of the Expanded and Diversified Intake. Springer. 

Liu, Q., Chen, L., Feng, X., Bai, X., Ma, Z. (2024). Supporting Students and Instructors in Blended Learning. In: Li, M., Han, X., Cheng, J. (eds) Handbook of Educational Reform Through Blended Learning. Springer, Singapore. https://doi.org/10.1007/978-981-99-6269-3_5 

Vaughan, N. (2007). Perspectives on blended learning in higher education. International Journal on E-learning, 6(1), 81–94. https://www.learntechlib.org/primary/p/6310/

Powering Peer Support

Melissa ZEHNDER and Duane ONG

Singapore Institute of Technology (SIT) 

melissa.zehnder@singaporetech.edu.sg, duane.ong@singaporetech.edu.sg

Zehnder, M., & Ong, D. (2024). Powering peer support [Lightning talk]. In Higher Education Conference in Singapore (HECS) 2024, 3 December, National University of Singapore. https://blog.nus.edu.sg/hecs/hecs2024-mzehnder-dong/

SUB-THEME

Opportunities from Wellbeing

KEYWORDS

Opportunities from Wellbeing, student peer support, wellbeing, student wellbeing, mental health, student engagement

CATEGORY

Lightning Talk

EXTENDED ABSTRACT

Students in university experience significant stress, they have to navigate and adapt to new environments and adopt new behaviours. At the Singapore Institute of Technology (SIT), we aim to provide holistic and extensive student care and support. To this end, a Student Development and Care Strategy has been established to ensure a safe, vibrant and supportive campus community. This framework encompasses aspects of student development, integration, care and recreation, to boost their learning journey beyond academic rigour. Throughout each academic year, there is continuous student engagement and support. This creates a common campus vocabulary on good mental health habits and normalises help-seeking behaviours. Often, this is accomplished by harnessing the power of peer-to-peer support. 

 

In 2022, SIT embarked on a peer-to-peer emotional support programme. Potential supporters were interviewed for the programme, before they embarked on specially curated training with five core modules. To help drive ground-up initiatives, a student executive committee was installed. As a group, these peer supporters engage the student community to promote available support (theirs included) and resources for good mental health. Some challenges faced include lack of student awareness of the presence of peer support and their willingness and knowledge of how to connect with a peer supporter, as well as understanding the benefits of peer support. 

 

The next phase of the peer support service has begun, where the student peer supporters should be gainfully engaged and students seeking the support report reaping benefits. 

 

Feedback from other stakeholders such as SIT faculty will also be consolidated. The presentation will share a summary of the Student Development and Care Strategy, objectives of the SIT peer support programme, challenges faced and ideas to navigate these challenges, success stories, as well as ideas for the future. If possible, the presentation will have both SIT staff and student peer supporters sharing their peer support experiences. 

 

The Efficacy of Instructional Practice and Support on Student Engagement and Wellbeing in Blended Learning

LEE Ming Cherk*, Netty Haiffaq Binte Zaini MATTAR, CAO Feng, and Norhayati Ismail

Centre for English Language and Communication (CELC), NUS

*elclmc@nus.edu.sg 

Cao, F., Lee, M. C., Netty Haiffaq Zaini Mattar, & Norhayati Ismail (2024). The efficacy of instructional practice and support on student engagement and wellbeing in blended learning [Paper presentation]. In Higher Education Conference in Singapore (HECS) 2024, 3 December, National University of Singapore. https://blog.nus.edu.sg/hecs/hecs2024-caof-et-al/ 

SUB-THEME

Opportunities from Wellbeing 

KEYWORDS

Instructional practice, support, student engagement, well-being 

CATEGORY

Paper Presentation

 

EXTENDED ABSTRACT

The blended learning approach, which combines both online and face-to-face teaching and resources (Albiladi & Alshareef, 2019), has become a “new normal” in higher education (Luo et al., 2017; Porter et al., 2016). It necessitates that students switch between synchronous and asynchronous modes of learning, and between multiple e-learning and communication platforms. Such changes have felt sudden and imposed (Finlay et al., 2022), and is further complicated by differences in online accessibility (Bayyat et al., 2021). Navigating through these various modes and platforms, even as they continue to shift and fluctuate over the years, has been demanding for students. This has caused increased distress and anxiety in students (Hagedorn et al., 2022) such that scholars have now turned their attention to the wellbeing of students in blended learning environments (Huang, 2023; Mendoza & Venables, 2023).  

 

Wellbeing is defined as a positive state of mental health. Wellbeing also indicates feelings of competence, agency, self-motivation, positive relationships, and personal growth (Baik, et al, 2017, p. 3). Scholars have suggested that student engagement in learning has an impact on student well-being which in turn has a strong bearing on academic achievement (Baik, et al, 2017; Houghton & Anderson, 2017; Alvarado et al., 2019; Ward-Griffin et al., 2018). In higher education, engagement is linked to students’ involvement with academically meaningful activities (Kuh, 2001).  

 

Working on the notion that student engagement is indicative of well-being, this study examines the engagement levels of undergraduates at the National University of Singapore in a range of blended-learning courses offered by the Centre for English Language Communication (CELC), NUS. The purpose was to measure students’ sense of engagement vis-a-vis the instructional practices and support (e.g., issuing reminders, clarifying instructions, and answering questions) given to promote engagement and student well-being and to identify aspects of learning where students felt least engaged.   

 

The three main research questions were: 

  1. To what extent were the students well engaged in learning?
  2. How did the students’ engagement correlate with the instructional practice and support given? 
  3. What actions can be taken to improve student engagement and, ultimately, their well-being? 

 

Based on the Community of Inquiry framework (Garrison et al., 2000), a questionnaire survey was devised with the assumption that student engagement is an indicator of student well-being. The effects of the instructional structure and practices delivered through blended learning were tested on behavioural, cognitive, and emotional engagement (Fredericks et. al., 2016). Statistical analyses were subsequently performed to compare the data and identify correlations among the variables. The findings were then corroborated by interviews with students.  

 

The results demonstrate highly positive perceptions towards teacher support, student participation, collaboration, and students’ sense of belonging.  Moreover, the analysis of students’ responses shows either moderate or strong correlations between students’ engagement levels and instructional practices and support. 

 

Understanding how various instructional practices and support provided for blended learning environments in CELC courses can help to inform the improvement of blended learning courses, such that student mental well-being is enhanced. 

 

REFERENCES

Albiladi, W. S., & Alshareef, K. K. (2019). Blended Learning in English Teaching and Learning:  A Review of the Current Literature. Journal of Language Teaching and Research, 10(2), 232. https://doi.org/10.17507/jltr.1002.03 

Baik, C.; Larcombe, W., Brooker, A., Wyn, J., Allen, L., Brett, M., Field, R., & James, R (2017).  Enhancing student mental wellbeing. A Handbook for Academic Educators., 26(8), 879-896. 

Bayyat, M., Muaılı, Z. H. A., & Aldabbas, L. (2021). Online component challenges of a blended learning experience: A comprehensive approach. Turkish Online Journal of Distance Education, 22(4), 277-294. http://dx.doi.org/10.17718/tojde.1002881

Finlay, M. J., Tinnion, D. J., & Simpson, T. (2022). A virtual versus blended learning approach to  higher education during the COVID-19 pandemic: The experiences of a sport and exercise science student cohort. Journal of hospitality, leisure, sport & tourism education, 30, 100363. https://doi.org/10.1016/j.jhlste.2021.100363

Fredricks, J. A., Blumenfeld, P. C., & Paris, A. H. (2004). School Engagement: Potential of the  Concept, State of the Evidence. Review of Educational Research, 74(1), 59-109. https://doi.org/10.3102/00346543074001059 

Fredricks, J. A., Filsecker, M., & Lawson, M. A. (2016). Student engagement, context, and  adjustment: Addressing definitional, measurement, and methodological issues. Learning and Instruction, 43, 1–4. https://doi.org/10.1016/j.learninstruc.2016.02.002 

Garrison, D. R., Anderson, T., & Archer, W. (2000). Critical inquiry in a text-based environment:  Computer conferencing in higher education model. The Internet and Higher Education, 2(2-3), 87-105. https://doi.org/10.1016/S1096-7516(00)00016-6

Hagedorn, R. L., Wattick, R. A., & Olfert, M. D. (2022). “My entire world stopped”: College students’ psychosocial and academic frustrations during the COVID-19 pandemic. Applied Research in Quality of Life, 17(2), 1069-1090. http://dx.doi.org/10.1007/s11482-021-09948-0

Houghton, A-M. & Anderson, J. (2017) Embedding mental wellbeing in the curriculum:  maximising success in higher education. Higher Education Academy. 

Huang, J. C. (2023). Implementation effect of integrating cooperative inquiry into blended learning: analysis of students’ goal setting, task value, and well-being. Interactive Learning Environments, 1-16. https://doi.org/10.1080/10494820.2023.2205896

Kuh, G. D. (2001). Assessing what really matters to student learning: Inside the National Survey of Student Engagement. Change, 33(3), 10-17. https://doi.org/10.1080/00091380109601795

Liem, G. A. D., & Chong, W. H. (2017). Fostering student engagement in schools: International best practices. School Psychology International, 38(2), 121-130. https://journals.sagepub.com/doi/pdf/10.1177/0143034317702947 

Luo, L., Cheng, X., Wang, S., Zhang, J., Zhu, W., Yang, J., & Liu, P. (2017). Blended learning with Moodle in medical statistics: An assessment of knowledge, attitudes and practices relating to e-learning. BMC Medical Education, 17(1), 170. https://doi.org/10.1186/s12909-017-1009-x 

Mendoza, A., & Venables, A. (2023). Attributes of blended learning environments designed to foster a sense of belonging for higher education students. Journal of Information Technology Education. Research, 22, 129. http://dx.doi.org/10.28945/5082 

National Survey of Student Engagement (2023). Engagement indicators and high-impact practices. https://nsse.indiana.edu/nsse/survey-instruments/engagement-indicators.html 

Porter, W. W., Graham, C. R., Bodily, R. G., & Sandberg, D. S. (2016). A qualitative analysis of institutional drivers and barriers to blended learning adoption in higher education. The Internet and Higher Education, 28, 17–27. https://doi.org/10.1016/j.iheduc.2015.08.003 

Enhancing Educational Outcomes in Quality and Productivity Management Through ChatGPT Integration

Alexander LIN*, Anqi SHI, and Stephen En Rong TAY 

Department of the Built Environment, College of Design and Engineering (CDE), NUS

*bdgal@nus.edu.sg 

Lin, A., Shi, A., & Tay, S. E. R. (2024). Enhancing educational outcomes in quality and productivity management through ChatGPT integration [Paper presentation]. In Higher Education Conference in Singapore (HECS) 2024, 3 December, National University of Singapore. https://blog.nus.edu.sg/hecs/hecs2024-alin-et-al/

SUB-THEME

Opportunities from Generative AI

KEYWORDS

Artificial Intelligence, Educational Technology, Interactive Learning, Management Education, Student Engagement 

CATEGORY

Paper Presentation

 

INTRODUCTION 

This study examines the impact of integrating Generative AI tools, specifically ChatGPT, into the course PF2203 “Quality and Productivity Management (QPM)”. It focuses on fostering Collaborative Constructivism and Authentic Application of QPM concepts. Collaborative Constructivism enhances understanding and retention (Brooks & Brooks, 1999; Piaget, 2013), while Authentic Application translates theoretical knowledge into practical scenarios (Rahmawati et al., 2021; Weeks et al., 2019). These methodologies significantly boost critical thinking, as evidenced by studies like Sandu et al. (2024) and Rahman and Watanobe (2023), which suggest that student interactions with ChatGPT promote such outcomes. By integrating ChatGPT, the study anticipates improved student engagement and critical thinking in practical QPM applications. The research questions are:   

  1. Does ChatGPT integration enhance learning, as shown by student work? 
  2. What are student perceptions of ChatGPT integration? 

 

METHODOLOGY

This study employs methods similar to those used by Sandu et al. (2024) and Rahman and Watanobe (2023), enhancing student engagement and critical thinking through interactions with ChatGPT in PF2203. Groups of 2 to 3 students utilised ChatGPT to prepare their group projects, which included gathering information, synthesising content, and discussing a QPM-related topic through oral presentations. The presentations also had a segment on students’ sharing of their ChatGPT usage, followed by a class discussion. The effectiveness of ChatGPT was assessed through both qualitative and quantitative student feedback, as well as students’ presentation scores, which were evaluated based on the marking criteria in Table 1. The study received ethical approval from the Learning and Analytics Committee in April 2024. 

Table 1 
Marking scheme for project presentation
 

HECS2024-a42-Fig1

 

DISCUSSION AND RESULTS

Through tutorial discussions, the lecturer promoted creative use of ChatGPT, including integrating theoretical knowledge with practical cases. As illustrated in Figures 1 and 2, which depict examples from students’ Q&A with ChatGPT and presentation slides, respectively, students learned this approach and applied lean principles at different phases of a construction project in their presentation. Concurrently, the students were aware of the potential errors in the output generated by ChatGPT. For instance, Table 2 reveals their capability to discern when the output does not align closely with the required information or context. Consequently, they could exclude irrelevant data, showcasing their critical thinking skills in assessing and utilising the information from ChatGPT effectively. Overall, student presentation scores, which were evaluated based on criteria emphasising concept integration and practical understanding (see Table 1), show significant improvement in the Academic Year 2023/24 Semester 2 with the use of ChatGPT, compared to the previous year without ChatGPT (see Table 3). Averaged scores rose from 13.25 to 14.75 for the 1st Presentation and from 14.25 to 15 for the 2nd Presentation, showing improved capability of integration of QPM knowledge, aligning with the course’s learning objectives. However, as there were only four groups, statistical analysis was not feasible due to the small sample size. 

 

As indicated in Table 4, feedback collected using a 5-point Likert scale demonstrates a consensus that ChatGPT enhances knowledge integration (Question 1) and motivates learning (Question 2). Responses to Questions 3 and 4 generally confirm improvements in scenario-based learning and critical thinking through ChatGPT. The qualitative feedback from students, presented in Table 5, shows that integrating ChatGPT bolsters students’ critical thinking in applying managerial concepts in real-world contexts—effectively bridging the identified research gap. 

Figure 1. Student’s prompt for ChatGPT 

 

Figure 2. Student’s work for second presentation

 

Table 2
Students’ remark on
ChatGPT’s output. The first column records the prompts used and the responses from ChatGPT, and the second column contains their remarks on how they utilised ChatGPT’s output, as stipulated by a template provided by the lecturer, along with their evaluations of the output’s relevance and accuracy.
 

 

Table 3 
Averaged presentation scores (For each semester, number of student groups = 4)

 

Table 4 
End-of-
course survey results indicating the average response based on a five-point Likert scale with 1 (Strongly Disagree) and 5 (Strongly Agree) (n= 10).
 

HECS2024-a42-Fig4

 

Table 5 
Qualitative student feedback
 
 

HECS2024-a42-Fig5

 

CONCLUSION

Integrating ChatGPT into the QPM course has led to measurable improvements in both student engagement and academic performance. This suggests a scalable model that is sufficiently applicable for broader adoption across various educational disciplines. Future research will focus on optimizing AI tool integration within these contexts.

 

REFERENCES

Brooks, J. G., & Brooks, M. G. (1999). In search of understanding: The case for constructivist classrooms. Ascd. 

Piaget, J. (2013). The construction of reality in the child. Routledge. 

Rahman, M. M., & Watanobe, Y. (2023). ChatGPT for education and research: Opportunities, threats, and strategies. Applied Sciences, 13(9), 5783. https://doi.org/10.3390/app13095783

Rahmawati, Y., Taylor, E., Taylor, P. C., & Koul, R. (2021). Student empowerment in a constructivist values learning environment for a healthy and sustainable world. Learning Environments Research, 24, 451-468. https://doi.org/10.1007/s10984-020-09336-9

Sandu, R., Gide, E., & Elkhodr, M. (2024). The role and impact of ChatGPT in educational practices: insights from an Australian higher education case study. Discover Education, 3(1), 71. https://doi.org/10.1007/s44217-024-00126-6

Weeks, K. W., Coben, D., O’neill, D., Jones, A., Weeks, A., Brown, M., & Pontin, D. (2019). Developing and integrating nursing competence through authentic technology-enhanced clinical simulation education: Pedagogies for reconceptualising the theory-practice gap. Nurse Education in Practice, 37, 29-38. https://doi.org/10.1016/j.nepr.2019.04.010  

Engaging Students for Community Engagement Courses and Beyond: Overcoming Confirmation Bias

Anne CHONG Suet Lin

Department of Social Work, Faculty of Arts and Social Sciences (FASS), NUS
Office of the Provost, NUS

pvoacsl@nus.edu.sg

Chong, A. S. L. (2024). Engaging students for community engagement courses and beyond: Overcoming confirmation bias [Lightning Talk]. In Higher Education Conference in Singapore (HECS) 2024, 3 December, National University of Singapore. https://blog.nus.edu.sg/hecs/hecs2024-chong

 

SUB-THEME

Others: Engaging Students for Community Engagement Courses

KEYWORDS

Confirmation bias, student engagement, critical thinking, community engagement

CATEGORY

Lightning Talk

EXTENDED ABSTRACT

We are prone to many cognitive biases and logical fallacies despite and sometimes because of our knowledge and experience. One of the most pernicious ones is confirmation bias, which is the tendency to find evidence to confirm pre-existing beliefs (Wason, 1960). The pervasiveness of confirmation bias has led to many undesirable outcomes in societies, as articulately expressed by Nickerson (1998):

If one were to attempt to identify a single problematic aspect of human reasoning that deserves attention above all others, the confirmation bias would have to be among the candidates for consideration. Many have written about this bias, and it appears to be sufficiently strong and pervasive that one is led to wonder whether the bias, by itself, might account for a significant fraction of the disputes, altercations, and misunderstandings that occur among individuals, groups, and nations.

 

In the context of learning, confirmation bias, not only seeks to collect evidence to bolster our beliefs, but more treacherously, it leads us to ignore or undervalue evidence to the contrary. Humans have somehow evolved this tendency to avoid the discomfort of cognitive dissonance and the pitfalls of societal non-conformity (Ling, 2020).

 

To combat confirmation bias, the first crucial step is to bring this very human tendency to the foremost of our awareness (Gilovich et al., 2002). It demands we challenge our pet hypotheses (Lord et al., 1979), forces us to consider others’ viewpoints and overcome the discomfort of finding we possess uncertain information or that we are simply wrong.

 

In this lightning talk, I would like to share a teaching innovation that I have used for two courses in which students already have pre-existing beliefs that impede their learning. Students who take the module GEQ1000 Asking Questions (now discontinued) and a current C&E course, GEN2061, generally come into courses with the beliefs that they know the content already and/or view the lessons as common sense and therefore are disengaged in the learning.

The activity comprises 2 steps:

  1. Ask students to answer a Yes or No question on whether they think the course is useful for them. Their answer will determine the colour of their responses for Step 2.
  2. Ask students to write down their expectations of the course, i.e. what do they think the course can or cannot teach them and colour their posts according to Step 1.
    The placement of students’ posts will show a segregation of colour consistent with confirmation bias that students are not aware of.

 

Using an activity targeted at revealing the existence of confirmation bias leads to the re-engagement of students in the courses, especially when the need for critical and empathetic thinking is brought to the fore.

REFERENCES

Gilovich, T., Griffin, D., & Kahneman, D. (Eds.). (2002). Heuristics and biases: The psychology of intuitive judgment. Cambridge University Press.

Ling, R. (2020). Confirmation bias in the era of mobile news consumption: The social and psychological dimensions. Digital Journalism, 8(5), 596–604. https://doi.org/10.1080/21670811.2020.1766987

Lord, C. G., Ross, L., & Lepper, M. R. (1979). Biased assimilation and attitude polarization: The effects of prior theories on subsequently considered evidence. Journal of Personality and Social Psychology, 37(11), 2098-2109. https://doi.org/10.1037/0022-3514.37.11.2098

Nickerson, R. S. (1998). Confirmation bias: A ubiquitous phenomenon in many guises. Review of General Psychology, 2(2), 175-220. https://doi.org/10.1037/1089-2680.2.2.175

Wason, P. C. (1960). On the failure to eliminate hypotheses in a conceptual task. Quarterly Journal of Experimental Psychology, 12(3), 129–140. https://doi.org/10.1080/17470216008416717