The Role Of Intra-Personal Competencies In Sustaining Success In Continuous Learning

Alfred CHAN* and Marcus WEE 

Lifelong Education and Training,
School of Continuing and Lifelong Education
(SCALE)

*alfredch@nus.edu.sg 

Wee, M. & Chan, A. (2024). The role of intra-personal competencies in sustaining success in continuous learning [Lightning talk]. In Higher Education Conference in Singapore (HECS) 2024, 3 December, National University of Singapore. https://blog.nus.edu.sg/hecs/hecs2024-achan-mwee/

SUB-THEME

Opportunities from Wellbeing 

KEYWORDS

Awareness, motivation, intra-personal, insights, growth 

CATEGORY

Lightning Talk

EXTENDED ABSTRACT

This research investigates the critical role of intra-personal skills—self-awareness, self-regulation, and self-motivation—in supporting continuous learning within today’s rapidly evolving technological and job market environments. The study hypothesises that these skills significantly enhance adaptability, goal-setting, and persistence in learning contexts. 

 

Employing a mixed-methods approach, the research collects quantitative data through surveys of participants in continuous learning programs. These surveys measure intra-personal capabilities and their impact on learning outcomes. Additionally, qualitative insights from interviews and discussions provide a deeper understanding of how these skills are utilised in real-world learning scenarios. 

 

The findings reveal that individuals with strong intra-personal skills are better equipped to adapt to new information, achieve learning goals, and maintain motivation despite challenges. The study emphasises the importance of mastering these competencies to effectively navigate dynamic environments and proposes practical strategies for cultivating them among learners in Continuing Education and Training (CET) programmes.

 

Ultimately, the enhancement of intra-personal skills empowers individuals to engage in lifelong learning, fostering both personal and professional growth. 

 

A Balancing Act: Engagement Without Exhaustion in An Experiential Learning Environment

Sylvia SIM Swee Choo

Centre for English Language Communication

elcsimsc@nus.edu.sg

Sim, S. S. C. (2024). A balancing act: Engagement without exhaustion in an experiential learning environment [Lightning Talk]. In Higher Education Conference in Singapore (HECS) 2024, 3 December, National University of Singapore. https://blog.nus.edu.sg/hecs/hecs2024-choo

 

SUB-THEME

Opportunities from Wellbeing

KEYWORDS

Constructive Engagement, Over-engagement, Burnout, Motivation

CATEGORY

Lightning Talk

EXTENDED ABSTRACT

Does participation equate to engagement? How much engagement is optimal? Is there such a thing as over-participation? What effect does this have on engagement? As educators strive to increase engagement in the class by encouraging more participation, such attempts can sometimes be counterproductive and become a barrier to deep learning. In the context of a leadership and professional communication course, this paper examines the notion of engagement and identifies factors that curriculum developers and teaching practitioners need to bear in mind when creating a learning environment that cultivates sustainable engagement without the risk of burnout.

 

In the era of AI, the significance of human connections in leadership communication requires interpersonal skills like empathy, active listening, and conflict resolution, which are critical for building trust and inspiring teams. To be effective, this professional communication module adopts an experiential learning approach (Kolb, 1984). Learning is contextualized in authentic scenarios provides students the opportunities to develop these workplace skills (Moore and Morton, 2017) This hands-on approach increases “communication capacity” (Litchfield et al., 2010) by bridging the gap between theory and practice, ensuring future leaders are equipped with both the technical proficiency and emotional intelligence necessary for success in a tech-driven world.

 

Experiential learning requires active participation that encourages students to draw upon learning experiences that shape their own values and identity. Very often, teachers look out for signs of disengagement but may overlook the possibility of over-engagement. Orosz et. al. (2023) describes over-engagement as a maladaptive form of engagement, characterised by preoccupation, emotional overwhelm, rumination, worry, and obsession, which can hinder effective learning. Balancing the benefits of engagement with the risks of overburdening participants is essential.

 

An examination of student feedback from this course identifies areas of concern suggesting excessive engagement among students. These areas are:

  1. The workload and the pace of activities and assessments were too intense
  2. The nature of the tasks pushing them out of their comfort zone
  3. Feedback and grading needed to be more effective in helping them avoid failures

Curriculum developers and teachers should focus on these areas of concerns and be mindful about improving the quality of engagement by encouraging active participation and maintaining a balanced approach. This involves helping students step out of their comfort zones without causing stress and fostering an environment where setbacks are seen as learning opportunities rather than threats. According to Orosz et al. (2023), such engagement allows individuals to be kinder to themselves and better manage their thoughts and feelings, leading to a greater motivation to engage to learn, rather than engage for grades. In a course that aims to build and hone professional communication skills, this balance is crucial for developing interpersonal skills and a growth mindset, ultimately leading to greater resilience. Constructive engagement surpasses mere active participation. While active participation aids short-term learning, sustained and lasting learning requires constructive engagement. For constructive engagement to be effective, it must be meaningful, constructive, and enjoyable, positively impacting learners.

  • Meaningful: Engagement should provide meaningful value to learners. Whitton and Langan (2016) argue that students need to perceive the relevance and benefits of their involvement to remain motivated. Kyndt et al. (2014) argue that students are more motivated and perceive their workload as lighter when they find their tasks meaningful. Conversely, students lacking intrinsic motivation are likely to find even a light workload burdensome.

 

Whitton and Langan (2016) recommend breaking the cycle of performativity by reassessing how engagement is measured. While addressing learner disengagement is essential, the pressures of assessment can also result in excessive engagement.

  • Constructive: According to Orosz et al. (2023), engagement in learning should be constructive, promoting growth and development rather than causing frustration or distraction. This involves creating activities and interactions that encourage critical thinking, problem- solving, and the application of knowledge, thus fostering a deeper understanding and skill enhancement. Constructive engagement requires a supportive environment that addresses students’ psychological needs, aligning activities with learning objectives to ensure relevance and purpose. By maintaining this balance, educators can enhance students’ motivation and involvement in their educational journey, making engagement both meaningful and productive.
  • Enjoyable/Positive: Li (2022) points out that engagement should be enjoyable and positive. When students find their participation pleasurable, they are more likely to remain enthusiastic and committed to the learning process. She suggests fostering classroom enjoyment in a supportive, socially connected learning environment can reduce burnout and disengagement. Likewise, over-engagement can lead to burnout, causing stress and undermining students’ motivation.

 

This paper recommends that strategies for managing over-engagement such as having ungraded tasks, providing safe spaces, fostering enjoyment, promoting positive emotions will create a supportive environment that will ensure students balanced and motivated

REFERENCES

Kolb, D. A. (2014). Experiential learning: Experience as the source of learning and development (2nd ed). FT Press.

Li, H. (2022). Classroom enjoyment: Relations with EFL students’ disengagement and burnout. Frontiers in Psychology, 12. https://doi.org/10.3389/fpsyg.2021.824443

Litchfield, A., Frawley, J., & Nettleton, S. (2010). Contextualising and integrating into the curriculum the learning and teaching of work-ready professional graduate attributes. Higher Education Research & Development, 29(5), 519-534. https://doi.org/10.1080/07294360.2010.502220

Kyndt, E., Berghmans, I., Dochy, F., & Bulckens, L. (2013). ‘Time is not enough.’ Workload in higher education: a student perspective. Higher Education Research & Development, 33(4), 684–698. https://doi.org/10.1080/07294360.2013.863839

Moore, T., & Morton, J. (2017). The myth of job readiness? Written communication, employability, and the ‘skills gap’ in higher education. Studies in Higher Education, 42(3), 591–609. https://doi.org/10.1080/03075079.2015.1067602

Orosz, G., Evans, K. M., Török, L., Bőthe, B., Tóth-Király, I., Sik, K., & Gal, E. (2023). The differential role of growth mindset and trait mindfulness in the motivation of learning from criticism. Mindfulness, 14(4), 868-879. https://doi.org/10.1007/s12671-023-02117-4

Whitton, N., & Langan, A. M. (2016). Understanding learner disengagement: Why do students pay £9,000. Learning and Teaching in Action, 12(1), 56-70. http://www.celt.mmu.ac.uk/ltia/index.php

Exploring The Effects of An Artificial Intelligence (AI) Chatbot on Learning and Motivation Among Pharmacy Students

Lik-Wei WONG1*, Amanda Huee-Ping WONG1, Valerie Ying Hui TAN2, Embang Johann Emilio GONZALES2 and Shing Chuan HOOI1

1Department of Physiology, Yong Loo Lin School of Medicine (YLLSOM), National University of Singapore (NUS)
2Alice Lee Centre for Nursing Studies, YLLSOM, NUS

*phswlw@nus.edu.sg

Wong, L.-W., Wong, A. H.-P., Tan, V. Y. H.,  Gonzales, E. J. E., & Hooi, S.C. (2024). Exploring The Effects of An Artificial Intelligence (AI) Chatbot on Learning and Motivation Among Pharmacy Students [Lightning Talk]. In Higher Education Conference in Singapore (HECS) 2024, 3 December, National University of Singapore. https://blog.nus.edu.sg/hecs/hecs2024-wong-et-al

 

SUB-THEME

Opportunities from Generative AI

KEYWORDS

AI chatbot, ChatGPT, learning, motivation, undergraduate

CATEGORY

Lightning Talk

INTRODUCTION

The rapid advancements in Artificial Intelligence (AI) technologies have prompted us to re-evaluate the future of our education. Although AI has great potential to enhance teaching and learning, its role in pedagogy and instruction has not been fully studied. Motivation has been shown to influence students’ learning approaches, their engagement level, their persistence in accomplishing goals, and their thinking processes (Chiu, 2022). Ryan and Deci (2017; 2020) propose Self-Determination Theory (SDT) suggesting that autonomous motivation is the preferred type of motivation for learning as it can lead to greater engagement and persistence. A recent study has found that university students who engaged with AI chatbots had greater intrinsic motivation than those who did not. These findings imply that students may feel more comfortable and engaged when interacting with chatbots, potentially leading to increased expression of ideas (Yin et al., 2021) and higher levels of motivation (Fryer et al., 2019).

RATIONALE OF STUDY

As AI technology continues to advance, its impact on the education of medical and health professionals will be significant. While some argue that it may have negative implications for students’ learning, educators should consider incorporating AI technology into their teaching methods to enhance students’ learning experiences. This study aims to investigate the potential of AI chatbots as a pedagogical tool for enhancing learning and motivation among pharmacy students.

METHODS

Participants in this study were second-year undergraduate pharmacy students enrolled in the PR2153 course on the Cardiovascular System during Semester 1 of AY2023/24. For the physiology components of the course, students were provided with various educational resources, such as eBooks, online lecture videos, and quizzes for self-directed learning, before attending in-person classroom discussions. Students were encouraged to submit questions via a designated Question & Answer (Q&A) link and to use ChatGPT to find answers to their questions. The teachers would then evaluate ChatGPT’s responses and provide further clarifications, where necessary. Additionally, ChatGPT was incorporated into a case-based group discussion. To evaluate the AI chatbot’s impact on motivation, we used the established SDT and Intrinsic Motivation Inventory (IMI) in a post-course anonymous survey questionnaire. The survey included two open-ended questions about the AI chatbot’s strengths and limitations. Additionally, focus group discussions were conducted and analysed thematically to determine AI chatbot’s effects on learning and motivation.

KEY FINDINGS

60.2% (50/83) of the students participated in and completed the survey, using ChatGPT for their study of cardiovascular physiology. Overall, needs satisfaction (3.59 ± 0.81) was significantly higher (p<0.001) in students who used ChatGPT for their studies compared to those who did not (needs satisfaction: 2.98 ± 0.76). Students who used ChatGPT demonstrated significantly higher levels (p<0.05) of all three components—autonomy, competence, and relatedness. Additionally, students who used ChatGPT showed higher interest (p<0.001) and found value (p<0.001) in using the AI chatbot. These results indicate that AI chatbots promote students’ motivation. In general, students found ChatGPT to be a useful tool for generating fast, easy-to-understand answers and provoking ideas. These benefits, in turn, facilitated their learning and the development of metacognitive skills. However, students were also aware of its limitations, particularly regarding accuracy, credibility, and generalized answers.

SIGNIFICANCE OF THE STUDY

This study found that students who engaged with the AI chatbot exhibited greater intrinsic motivation, potentially leading to increased expression of ideas and promoted thinking, thereby enhancing learning and boosting overall motivation. Therefore, the use of AI chatbots should be encouraged to supplement learning by incorporating them alongside traditional teaching resources.

REFERENCES

Chiu, T. K. (2021). Applying the self-determination theory (SDT) to explain student engagement in online learning during the COVID-19 pandemic. Journal of Research on Technology in Education, 54(1), S14-S30. https://doi.org/10.1080/15391523.2021.1891998

Fryer, L. K., Nakao, K., & Thompson, A. (2019). Chatbot learning partners: Connecting learning experiences, interest and competence. Computers in Human Behavior, 93, 279-289. https://doi.org/10.1016/j.chb.2018.12.023

Ryan, R. M., & Deci, E. L. (2017). Self-determination theory: Basic psychological needs in motivation, development, and wellness. Guilford Press.

Ryan, R. M., & Deci, E. L. (2020). Intrinsic and extrinsic motivation from a self-determination theory perspective: Definitions, theory, practices, and future directions. Contemporary educational Psychology, 61. https://doi.org/10.1016/j.cedpsych.2020.101860

Yin, J., Goh, T.-T., Yang, B., & Xiaobin, Y. (2020). Conversation technology with micro-learning: The impact of chatbot-based learning on students’ learning motivation and performance. Journal of Educational Computing Research, 59(1), 154-177. https://doi.org/10.1177/07356331209520

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