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2377-2891(Print); 2377-2905(Online)
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Prof. Eric C. K. Cheng
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10.18178/ijlt
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Editor-in-Chief
Prof. Eric C. K. Cheng
Professor & Vice President (Academic)
Yew Chung College of Early Childhood Education, Hong Kong, China
As the Editor-in-Chief of IJLT, I invite you to contribute your scholarly work to our esteemed publication. IJLT serves as a beacon for original and impactful academic contributions in the realm of education, fostering multidisciplinary research and development to enhance teaching-learning processes globally. We welcome submissions spanning a wide spectrum of topics, from innovative program development to the integration of digital tools in education. Our scope encompasses areas such as student leadership, diversity in education, and collaborative initiatives, reflecting our commitment to a sustainable and inclusive society. [
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Volume 4, No. 2, June 2018
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Developing a Computer Assisted Summary Writing Learning Model
Chew Chiou Sheng
1
, Norisma Idris
1
, David Loh Er Fu
2
, Mimihayu Md Yusof
2
, and Wan Effa Jaapar
2
1. Artificial Intelligence, University of Malaya, Kuala Lumpur, Malaysia
2. Academy Language Studies, Universiti Teknologi Mara, Melaka, Malaysia
Abstract—
Summary writing is a process of producing a more concise text through the process of selecting important information and deleting supporting and explanatory details from the source text. A good summary does not only depend on students ability to comprehend the source text, but also able to relate their prior knowledge in the process. Besides that, summarizing strategies are also crucial in summary writing. From a study conducted on Malaysian undergraduate students, it was found that majority of them were unable to write a good summary due to lack of prior knowledge and functional knowledge of summarizing strategies. This indicates that prior knowledge and summarizing strategies are important in summary writing. The aim of this research is to develop a summary writing learning model that incorporates prior knowledge, summarizing strategies and learning theories to enhance students’ ability to produce a good summary. The proposed Summary Writing Learning (SWL) model consists of three main components; Prior Knowledge Activation (PKA), Summarizing Strategies Learning (SSL), and Summarizing (SZ). An advanced organizer is used to activate students’ prior knowledge in PKA to comprehend the new text. The worked example instructional approach is used to instruct students in SSL. Moreover, a feedback sub-component is proposed in SZ to provide feedback to students on their summary strategies identification. The proposed SWL model will be a valuable contribution to educational technology specifically in summary writing.
Index Terms
—summary writing, reading comprehension, summarizing strategies, prior knowledge, learning theory
Cite: Chew Chiou Sheng, Norisma Idris, David Loh Er Fu, Mimihayu Md Yusof, and Wan Effa Jaapar, "Developing a Computer Assisted Summary Writing Learning Model," International Journal of Learning and Teaching, Vol. 4, No. 2, pp. 94-101, June 2018. doi: 10.18178/ijlt.4.2.94-101
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