Design of Reciprocal Teaching-Collaborative Learning Approach in Enhancing Students’ Reading Comprehension Skill

Olivia de H. Basoeki, Ting Ting Wu, Yueh Min Huang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Reading comprehension is one of the English language abilities for academic learning and as a crucial component of lifelong learning. Through reading, students will develop themselves and achieve progress in every aspect of their life. Referring to the importance of reading, appear the question of how to improve students’ reading comprehension skills. Therefore, teachers should develop their method effectively and use appropriate learning strategies independently to improve students’ reading comprehension skills. One best strategic method to develop reading comprehension skills is the reciprocal teaching. Therefore, this study was preliminary research to obtain perceptions about the design of reciprocal teaching combine with collaborative learning in large classes. This study conducted a qualitative approach to collect some perceptions from the English expert. The participants were English teachers of Polytechnic in Indonesia. Then, the result of the study was students predicted more interactive, communicative, active group discussion, critical thinking, motivation, leadership, and cooperation.

Original languageEnglish
Title of host publicationInnovative Technologies and Learning - Third International Conference, ICITL 2020, Proceedings
EditorsTien-Chi Huang, Ting-Ting Wu, João Barroso, Frode Eika Sandnes, Paulo Martins, Yueh-Min Huang
PublisherSpringer Science and Business Media Deutschland GmbH
Pages23-32
Number of pages10
ISBN (Print)9783030638849
DOIs
Publication statusPublished - 2020
Event3rd International Conference on Innovative Technologies and Learning, ICITL 2020 - Porto, Portugal
Duration: 2020 Nov 232020 Nov 26

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12555 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference3rd International Conference on Innovative Technologies and Learning, ICITL 2020
CountryPortugal
CityPorto
Period20-11-2320-11-26

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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