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Articles 1 - 30 of 46
Full-Text Articles in Education
Who Watched Pre/Post-Lecture Tutorial Videos? Does Flipped Learning Help Beginners In Economics?, Bei Hong
Who Watched Pre/Post-Lecture Tutorial Videos? Does Flipped Learning Help Beginners In Economics?, Bei Hong
Research Collection School Of Economics
The modern-day classroom is characterized by academic diversity, with students from varied backgrounds and with different levels of prior knowledge. To cater to the diverse abilities of students, this paper explored the use of flipped learning as a teaching approach in an introductory economics course. We investigated the effectiveness of 40 pre-lecture videos covering basic concepts and 27 post-lecture tutorial videos focusing on practice in improving students' exam outcomes, especially for beginners in economics who may require more support from instructors than other students. We collected data about video engagement and students' grades in progress assessments. Surveys were conducted to …
Exploring Students' Adoption Of Chatgpt As A Mentor For Undergraduate Computing Projects: Pls-Sem Analysis, Gottipati Swapna, Kyong Jin Shim, Shankararaman, Venky
Exploring Students' Adoption Of Chatgpt As A Mentor For Undergraduate Computing Projects: Pls-Sem Analysis, Gottipati Swapna, Kyong Jin Shim, Shankararaman, Venky
Research Collection School Of Computing and Information Systems
As computing projects increasingly become a core component of undergraduate courses, effective mentorship is crucial for supporting students' learning and development. Our study examines the adoption of ChatGPT as a mentor for undergraduate computing projects. It explores the impact of ChatGPT mentorship, specifically, skills development, and mentor responsiveness, i.e., ChatGPT's responsiveness to students' needs and requests. We utilize PLS-SEM to investigate the interrelationships between different factors and develop a model that captures their contribution to the effectiveness of ChatGPT as a mentor. The findings suggest that mentor responsiveness and technical/design support are key factors for the adoption of AI tools …
How Helpful Do Novice Programmers Find The Feedback Of An Automated Repair Tool?, Oka Kurniawan, Christopher M. Poskitt, Ismam Al Hoque, Norman Tiong Seng Lee, Cyrille Jégourel, Nachamma Sockalingam
How Helpful Do Novice Programmers Find The Feedback Of An Automated Repair Tool?, Oka Kurniawan, Christopher M. Poskitt, Ismam Al Hoque, Norman Tiong Seng Lee, Cyrille Jégourel, Nachamma Sockalingam
Research Collection School Of Computing and Information Systems
Immediate feedback has been shown to improve student learning. In programming courses, immediate, automated feedback is typically provided in the form of pre-defined test cases run by a submission platform. While these are excellent for highlighting the presence of logical errors, they do not provide novice programmers enough scaffolding to help them identify where an error is or how to fix it. To address this, several tools have been developed that provide richer feedback in the form of program repairs. Studies of such tools, however, tend to focus more on whether correct repairs can be generated, rather than how novices …
Measuring The Learning Effectiveness Of Two Courses In A Program In Accounting Data And Analytics, Clarence Goh, Duan Ning, Magdeleine Lew, Gary Pan, Poh Sun Seow
Measuring The Learning Effectiveness Of Two Courses In A Program In Accounting Data And Analytics, Clarence Goh, Duan Ning, Magdeleine Lew, Gary Pan, Poh Sun Seow
Research Collection School Of Accountancy
Driven by rapid technological innovation, information technology (IT) is expected to significantly alter the way that accountants work. However, both accounting researchers and practitioners have observed a shortage of accounting professionals who currently possess the relevant technology skillsets to exploit technological advances. In response, the School of Accountancy of a Singapore-based university launched a second major program in Accounting Data and Analytics in 2018. In this study, we examine the learning effectiveness of two courses – Business Data Management and Data Modelling & Visualization – offered as part of the program. Overall, our results suggest that the courses are effective …
Analytics-Enabled Authentic Assessment Design Approach For Digital Education, Tristan Lim, Swapna Gottipati, Michelle L. F. Cheong, Jun Wei Ng, Christopher Pang
Analytics-Enabled Authentic Assessment Design Approach For Digital Education, Tristan Lim, Swapna Gottipati, Michelle L. F. Cheong, Jun Wei Ng, Christopher Pang
Research Collection School Of Computing and Information Systems
There are known issues in authentic assessment design practices in digital education, which include the lack of freedom-of-choice, lack of focus on the multimodal nature of the digital process, and shortage of effective feedbacks. This study looks to identify an assessment design construct that overcomes these issues. Specifically, this study introduces an authentic assessment that combines gamification (G) with heutagogy (H) and multimodality (M) of assessments, building upon rich pool of multimodal data and learning analytics (A), known as GHMA. This is a skills-oriented assessment approach, where learners determine their own goals and create individualized multimodal artefacts, receive cognitive challenge …
Authentic Assessments For Digital Education: Learning Technologies Shaping Assessment Practices, Tristan Lim, Swapna Gottipati, Michelle L. F. Cheong
Authentic Assessments For Digital Education: Learning Technologies Shaping Assessment Practices, Tristan Lim, Swapna Gottipati, Michelle L. F. Cheong
Research Collection School Of Computing and Information Systems
Assessment is a powerful lever that affects learning. To better inform educators on authentic assessment practices within digital education in the higher education landscape, this paper takes us through a meta-analysis of existing literature between 2011 to 2021. The study evaluates the following research question: “How are emerging technologies shaping authentic assessment practices within digital education for higher education for the period between 2011 and 2023”. To aid with the forecasting, we utilize the EDUCAUSE Horizon Reports, which provide the predictions of emerging technology. This study affirms the importance of immersive learning technologies, followed by ubiquitous and adaptive learning technologies …
Investigating Bloom's Cognitive Skills In Foundation And Advanced Programming Courses From Students' Discussions, Joel Jer Wei Lim, Gottipati Swapna, Kyong Jin Shim
Investigating Bloom's Cognitive Skills In Foundation And Advanced Programming Courses From Students' Discussions, Joel Jer Wei Lim, Gottipati Swapna, Kyong Jin Shim
Research Collection School Of Computing and Information Systems
Programming courses provide students with the skills to develop complex business applications. Teaching and learning programming is challenging, and collaborative learning is proposed to help with this challenge. Online discussion forums promote networking with other learners such that they can build knowledge collaboratively. It aids students open their horizons of thought processes to acquire cognitive skills. Cognitive analysis of discussion is critical to understand students' learning process. In this paper, we propose Bloom's taxonomy based cognitive model for programming discussion forums. We present machine learning (ML) based solution to extract students' cognitive skills. Our evaluations on compupting courses show that …
Towards Aligning Slides And Video Snippets: Mitigating Sequence And Content Mismatches, Ziyuan Liu, Hady W. Lauw
Towards Aligning Slides And Video Snippets: Mitigating Sequence And Content Mismatches, Ziyuan Liu, Hady W. Lauw
Research Collection School Of Computing and Information Systems
Slides are important form of teaching materials used in various courses at academic institutions. Due to their compactness, slides on their own may not stand as complete reference materials. To aid students’ understanding, it would be useful to supplement slides with other materials such as online videos. Given a deck of slides and a related video, we seek to align each slide in the deck to a relevant video snippet, if any. While this problem could be formulated as aligning two time series (each involving a sequence of text contents), we anticipate challenges in generating matches arising from differences in …
Weighting Admission Scores To Balance Predictiveness-Diversity: The Pareto-Optimization Approach, Filip Lievens, Paul R. Sackett, Wilfried De Corte
Weighting Admission Scores To Balance Predictiveness-Diversity: The Pareto-Optimization Approach, Filip Lievens, Paul R. Sackett, Wilfried De Corte
Research Collection Lee Kong Chian School Of Business
Context: Although many medical schools seek to improve diversity, they grapple with the challenge of how to weight the scores of different admission methods to achieve a balance between obtaining high predictiveness and ensuring diversity in the selected student pool. Yet, in large-scale employment settings, substantial progress has been made on this front: Pareto-optimization has been introduced as an elegant statistical tool to assist decision makers in determining the weights assigned to selection methods in advance (before the selection has taken place) so that a selection system is designed to achieve an optimal balance as reflected by the trade-off that …
On Analysing Student Resilience In Higher Education Programs Using A Data-Driven Approach, Audrey Tedja Widjaja, Ee-Peng Lim, Aldy Gunawan
On Analysing Student Resilience In Higher Education Programs Using A Data-Driven Approach, Audrey Tedja Widjaja, Ee-Peng Lim, Aldy Gunawan
Research Collection School Of Computing and Information Systems
Analysing student resilience is important as research has shown that resilience is related to students’ academic performance and their persistence through academic setbacks. While questionnaires can be conducted to assess student resilience directly, they suffer from human recall errors and deliberate suppression of true responses. In this paper, we propose ACREA, ACademic REsilience Analytics framework which adopts a data-driven approach to analyse student resilient behavior with the use of student-course data. ACREA defines academic setbacks experienced by students and measures how well students overcome such setbacks using a quasi-experimental design. By applying ACREA on a real world student-course dataset, we …
Statistical Moderation: A Case Study In Grading On A Curve, Manoj Thulasidas
Statistical Moderation: A Case Study In Grading On A Curve, Manoj Thulasidas
Research Collection School Of Computing and Information Systems
There is a negative perception about “grading on a curve,” because of the feeling that the cohort strength may skew the final grades one way or another. However, given the difficulties in ensuring absolute uniformity in assessment across the years, especially when taught and assessed by different instructors under different settings, grading on a curve may be a necessary evil. Once we accept this type of statistical moderation as the last line of defense in standardizing the final scores so that student cohorts from different terms or sections or schools may be compared, we have to implement it well. In …
Automated Doubt Identification From Informal Reflections Through Hybrid Sentic Patterns And Machine Learning Approach, Siaw Ling Lo, Kar Way Tan, Eng Lieh Ouh
Automated Doubt Identification From Informal Reflections Through Hybrid Sentic Patterns And Machine Learning Approach, Siaw Ling Lo, Kar Way Tan, Eng Lieh Ouh
Research Collection School Of Computing and Information Systems
Do my students understand? The question that lingers in every instructor’s mind after each lesson. With the focus on learner-centered pedagogy, is it feasible to provide timely and relevant guidance to individual learners according to their levels of understanding? One of the options available is to collect reflections from learners after each lesson to extract relevant feedback so that doubts or questions can be addressed in a timely manner. In this paper, we derived a hybrid approach that leverages a novel Doubt Sentic Pattern Detection (SPD) algorithm and a machine learning model to automate the identification of doubts from students’ …
Profiling Student Learning From Q&A Interactions In Online Discussion Forums, De Lin Ong, Kyong Jin Shim, Gottipati Swapna
Profiling Student Learning From Q&A Interactions In Online Discussion Forums, De Lin Ong, Kyong Jin Shim, Gottipati Swapna
Research Collection School Of Computing and Information Systems
The last two decades have witnessed an explosive growth in technology adoption in education. Proliferation of digital learning resources through Massive Open Online Courses (MOOCs) and social media platforms coupled with significantly lowered cost of learning has brought and is continuing to take education to every doorstep globally. In recent years, the use of asynchronous online discussion forums has become pervasive in tertiary education institutions. Online discussion forums are widely used for facilitating interactions both during the lesson time and beyond. Numerous prior studies have reported benefits of using online discussion forums including enhanced quality of learning, improved level of …
Mining Informal & Short Student Self-Reflections For Detecting Challenging Topics: A Learning Outcomes Insight Dashboard, De Lin Ong, Gottipati Swapna, Siaw Ling Lo, Venky Shankararaman
Mining Informal & Short Student Self-Reflections For Detecting Challenging Topics: A Learning Outcomes Insight Dashboard, De Lin Ong, Gottipati Swapna, Siaw Ling Lo, Venky Shankararaman
Research Collection School Of Computing and Information Systems
Having students write short self-reflections at the end of each weekly session enables them to reflect on what they have learnt in the session and topics they find challenging. Analysing these self-reflections provides instructors with insights on how to address the missing conceptions and misconceptions of the students and appropriately plan and deliver the next session. Currently, manual methods adopted to analyse these student reflections are time consuming and tedious. This paper proposes a solution model that uses content mining and NLP techniques to automate the analysis of short self-reflections. We evaluate the solution model by studying its implementation in …
Students’ Evaluation Of Teaching In The Project-Based Learning Programme: An Instrument And A Development Process, Gary Pan, Venky Shankararaman, Kevin Koh, Sandy Gan
Students’ Evaluation Of Teaching In The Project-Based Learning Programme: An Instrument And A Development Process, Gary Pan, Venky Shankararaman, Kevin Koh, Sandy Gan
Research Collection School Of Accountancy
Students' evaluation of teaching (SET) is widely adopted in most universities. Besides allowing teachers to improve their teaching, SET offers an important input for university administrators' consideration in faculty promotion, contract renewal, salary increase and teaching award. While the practice of using SET instrument is well established, it remains ambiguous in the SET literature whether a dedicated SET instrument is used for alternative teaching pedagogy. Our paper argues that SET instrument may need to be re-designed to reflect the idiosyncrasy of another teaching pedagogy. Accordingly, this paper presents the development process of a SET instrument used to measure an alternative …
Secure Answer Book And Automatic Grading, Manoj Thulasidas
Secure Answer Book And Automatic Grading, Manoj Thulasidas
Research Collection School Of Computing and Information Systems
In response to the growing need to perform assessments online, we have developed a secure answer book, as well as a tool for automatically grading it for our course on spread- sheet modeling. We applied these techniques to a cohort of about 160 students who took the course last term. In this paper, we describe the design, implementation and the techniques employed to enhance both the security of the answer book and the ease, accuracy and consistency of grading. In addition, we summarize the experience and takeaways, both from the instructor and the student perspectives. Although the answer book and …
Using Data Analytics To Predict Students Score, Nang Laik Ma, Gim Hong Chua
Using Data Analytics To Predict Students Score, Nang Laik Ma, Gim Hong Chua
Research Collection School Of Computing and Information Systems
Education is very important to Singapore, and the government has continued to invest heavily in our education system to become one of the world-class systems today. A strong foundation of Science, Technology, Engineering, and Mathematics (STEM) was what underpinned Singapore's development over the past 50 years. PISA is a triennial international survey that evaluates education systems worldwide by testing the skills and knowledge of 15-year-old students who are nearing the end of compulsory education. In this paper, the authors used the PISA data from 2012 and 2015 and developed machine learning techniques to predictive the students' scores and understand the …
A Visual Analytics Tool For Personalized Competency Feedback, Joelle Elmaleh, Shankararaman, Venky
A Visual Analytics Tool For Personalized Competency Feedback, Joelle Elmaleh, Shankararaman, Venky
Research Collection School Of Computing and Information Systems
In this paper we report our study on the design and implementation of a visual analytics tool, Competency Analytics System (CAS), which provides feedback to instructors on both the cohort and individual student’s competency acquisition rate, as well as provide personalized dashboard to each student on his or her competency acquisition for a specific course. We present the key functionalities of CAS and describe a case study on the implementation of CAS in a first-year programming course. Data from a student survey indicates that the personalized dashboard provided by CAS contributed to enhancing their ability to clearly identify the extent …
Deep Learning Of Facial Embeddings And Facial Landmark Points For The Detection Of Academic Emotions, Hua Leong Fwa
Deep Learning Of Facial Embeddings And Facial Landmark Points For The Detection Of Academic Emotions, Hua Leong Fwa
Research Collection School Of Computing and Information Systems
Automatic emotion recognition is an actively researched area as emotion plays a pivotal role in effective human communications. Equipping a computer to understand and respond to human emotions has potential applications in many fields including education, medicine, transport and hospitality. In a classroom or online learning context, the basic emotions do not occur frequently and do not influence the learning process itself. The academic emotions such as engagement, frustration, confusion and boredom are the ones which are pivotal to sustaining the motivation of learners. In this study, we evaluated the use of deep learning on FaceNet embeddings and facial landmark …
Students’ Conceptions Of Bell Curve Grading Fairness In Relation To Goal Orientation And Motivation, Lynette Tan, Brenda Yuen, Wee Ling Loo, Christiaan Prinsloo, Mark Gan
Students’ Conceptions Of Bell Curve Grading Fairness In Relation To Goal Orientation And Motivation, Lynette Tan, Brenda Yuen, Wee Ling Loo, Christiaan Prinsloo, Mark Gan
Research Collection Yong Pung How School Of Law
The controversial bell curve has received considerable attention in recent years as a grade distribution tool where “norm-referenced grading involves comparing students’ performances with each other” rather than where they fall on a “predefined continuum of quality” (Brookhart, 2013, p. 258). Despite educators’ deep concern on the fairness of bell curve grading, there is little research done on students’ conceptions of that grading system in higher education. This correlational study uses open-ended questions and three instruments to measure students’ conceptions of the fairness of bell curve grading, their goal orientations, and motivation. Undergraduates from three universities participated in the survey …
A Review Of The Active Learning Curriculum In Management Accounting Using The Felder And Soloman’S Index Of Learning Styles (Ils), Suay Peng Wong, Loon Beng Angela Koh
A Review Of The Active Learning Curriculum In Management Accounting Using The Felder And Soloman’S Index Of Learning Styles (Ils), Suay Peng Wong, Loon Beng Angela Koh
Research Collection School Of Accountancy
The study examines the effectiveness of active learning in Management Accounting (MA) in Singapore Management University (SMU). The aims of the paper are to determine student learning styles through the Felder and Soloman’s Index of Learning Styles (ILS) instrument, if there is correlation with demographics and whether activities found effective matched learning preferences. Findings from the ILS instrument established a slight preference for Sensing and Visual learning styles. Findings from the second questionnaire concluded that the active learning curriculum comprising diverse activities succeeded in supporting formative learning. The results present a case for the active learning curriculum and fine-tuning certain …
Short- And Long-Run Effects Of Early Grades, Luca Facchinello
Short- And Long-Run Effects Of Early Grades, Luca Facchinello
Research Collection School of Economics
Does early grading affect educational choices? To answer the question, I exploit the staggeredimplementation of a reform which postponed grade assignment in Swedish compulsoryschool. I identify short- and long-term effects of early grading, for students with differentacademic ability and socioeconomic status (SES). When graded early on, high-ability students(especially if high-SES) perform better, and are more likely to choose academic coursesduring compulsory school. Low-ability students react in the opposite way, in particular iflow-SES. While high school attainment increases for high-ability low-SES students, collegeattainment decreases for low-ability low-SES students. None of these effects carry over tothe labor market. This suggests that early …
Peer Effects In Education: When Beliefs Matter, Luca Facchinello
Peer Effects In Education: When Beliefs Matter, Luca Facchinello
Research Collection School of Economics
Recent literature explains the puzzling finding of zero or negative peer effects in aca- demic achievement assuming that better peers negatively affect beliefs about ability (self-concept), motivation or peer interactions. This paper provides new evidence on such negative mechanisms, and on their impact on educational choices and attainment for students randomly assigned in compulsory school to classes with different cognitive ability. Using detailed longitudinal data on a nationally representative sample of Swedish compulsory school students, I find that students exposed to higher ability peers systematically underestimate their ability and are less likely to choose advanced subjects throughout compulsory school. While …
Chen Yidan: Educating For The Future, Singapore Management University
Chen Yidan: Educating For The Future, Singapore Management University
Perspectives@SMU
Tencent’s co-founder commits to education and calls for increased collaboration between academia, policymakers and industry to tackle future challenges
Look Before You Jump, Kapil R. Tuli
Look Before You Jump, Kapil R. Tuli
Research Collection Lee Kong Chian School Of Business
Coming to grips with the reality of eLearning. In boardrooms all over the world today a scenario is played out again and again: Chief Learning Officers (CLOs) enthusiastically pitch the strategy of eLearning while chief executives remain sceptical over the outcomes. For years, eLearning appeared to be the perfect answer for corporations that need to train their employees. And it certainly has its advantages.
Text Analytics Approach To Extract Course Improvement Suggestions From Students’ Feedback, Swapna Gottipati, Venky Shankararaman, Jeff Rongsheng Lin
Text Analytics Approach To Extract Course Improvement Suggestions From Students’ Feedback, Swapna Gottipati, Venky Shankararaman, Jeff Rongsheng Lin
Research Collection School Of Computing and Information Systems
In academic institutions, it is normal practice that at the end of each term, students are required to complete a questionnaire that is designed to gather students’ perceptions of the instructor and their learning experience in the course. Students’ feedback includes numerical answers to Likert scale questions and textual comments to open-ended questions. Within the textual comments given by the students are embedded suggestions. A suggestion can be explicit or implicit. Any suggestion provides useful pointers on how the instructor can further enhance the student learning experience. However, it is tedious to manually go through all the qualitative comments and …
Data Mining Approach To The Identification Of At-Risk Students, Li Chin Ho, Kyong Jin Shim
Data Mining Approach To The Identification Of At-Risk Students, Li Chin Ho, Kyong Jin Shim
Research Collection School Of Computing and Information Systems
In recent years, the use of digital tools and technologies in educational institutions are continuing to generate large amounts of digital traces of student learning behavior. This study presents a proof-of-concept analytics system that can detect at-risk students along their learning journey. Educators can benefit from the early detection of at-risk students by understanding factors which may lead to failure or drop-out. Further, educators can devise appropriate intervention measures before the students drop out of the course. Our system was built using SAS ® Enterprise Miner (EM) and SAS ® JMP Pro.
Class Discussion Management And Analysis Application, Venky Shankararaman, Swapna Gottipati, Seshan Ramaswami, Chirag Chhablan
Class Discussion Management And Analysis Application, Venky Shankararaman, Swapna Gottipati, Seshan Ramaswami, Chirag Chhablan
Research Collection School Of Computing and Information Systems
Discussion-based teaching is popular in several courses because it creates opportunities for students to practice important skills useful for the working environment. In order to make this pedagogy impactful and effective, instructors employ technologies such as online discussion forums and student response systems to conduct and manage classroom discussions. More recently mobile devices have become prevalent and researchers have been exploring how this device can help support education. In this paper we report the innovative use of mobile technology and supporting backend tools to manage classroom discussions. We have implemented a class discussion and management application, LiveClass. This application records …
Teachers, Education, And Inequality In The Developing World, Singapore Management University
Teachers, Education, And Inequality In The Developing World, Singapore Management University
Perspectives@SMU
Investing in teachers is key but incentivising poor parents to keep their kids in school is crucial
Sufat: An Analytics Tool For Gaining Insights From Student Feedback Comments, Siddhant Pyasi, Swapna Gottipati, Venky Shankararaman
Sufat: An Analytics Tool For Gaining Insights From Student Feedback Comments, Siddhant Pyasi, Swapna Gottipati, Venky Shankararaman
Research Collection School Of Computing and Information Systems
Teacher evaluation is a vital element inimproving student learning outcomes. Course and instructor feedback given bystudents, provides insights that can help improve student learning outcomes andteaching quality. Teaching and course evaluation systems help to collectquantitative and qualitative feedback from students. Since manually analysingthe qualitative feedback is painstaking and a tedious process, usually, onlythe quantitative feedback is often used for evaluating the course and theinstructor. However, useful knowledge is hidden in the qualitative comments, inthe form of sentiments and suggestions that can provide valuable insights tohelp plan improvements in the course content and delivery. In order toefficiently gather, analyse and provide …